HTTP 200 OK
Allow: GET, POST, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 7880,
"next": "https://metax.fairdata.fi/v3/datasets?format=api&limit=20&offset=4400",
"previous": "https://metax.fairdata.fi/v3/datasets?format=api&limit=20&offset=4360",
"results": [
{
"id": "b07ec008-aae5-40c0-b1c9-938803ab8004",
"access_rights": {
"id": "370e37e0-37fc-4ce2-9e9b-8b1ae3b51f10",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "9c016609-16ea-4e1e-96d8-67730099b70d",
"roles": [
"creator"
],
"person": {
"id": "847eeab4-6cdd-411d-91a3-5dec8f672862",
"name": "Matthias Labrenz"
},
"organization": {
"id": "c64b7fe6-13e2-4faf-9fda-4249e2b4fd13",
"pref_label": {
"en": "Leibniz Institute for Baltic Sea Research",
"fi": "Leibniz Institute for Baltic Sea Research",
"sv": "Leibniz Institute for Baltic Sea Research"
},
"external_identifier": "https://ror.org/03xh9nq73"
}
},
{
"id": "d31f7af2-dce7-49f1-b7b8-66a3da3e16ae",
"roles": [
"creator"
],
"person": {
"id": "dad2d7e2-bd78-4ff6-9ea0-206ebb3d88f6",
"name": "David Riedinger"
},
"organization": {
"id": "c64b7fe6-13e2-4faf-9fda-4249e2b4fd13",
"pref_label": {
"en": "Leibniz Institute for Baltic Sea Research",
"fi": "Leibniz Institute for Baltic Sea Research",
"sv": "Leibniz Institute for Baltic Sea Research"
},
"external_identifier": "https://ror.org/03xh9nq73"
}
},
{
"id": "b724f1db-a2ab-4b92-9068-22ace15ebaff",
"roles": [
"creator"
],
"person": {
"id": "4cb96eed-2127-42fc-9f10-25fddcd4e8f0",
"name": "Sandra Kube"
},
"organization": {
"id": "c64b7fe6-13e2-4faf-9fda-4249e2b4fd13",
"pref_label": {
"en": "Leibniz Institute for Baltic Sea Research",
"fi": "Leibniz Institute for Baltic Sea Research",
"sv": "Leibniz Institute for Baltic Sea Research"
},
"external_identifier": "https://ror.org/03xh9nq73"
}
},
{
"id": "c26992cd-75fc-494b-8e50-7ba8f1dbae2e",
"roles": [
"contributor"
],
"person": {
"id": "6e3e8b39-1539-490b-bce2-a47e18083d23",
"name": "Victor Fernández-Juárez"
},
"organization": {
"id": "6c045ce7-82cf-4141-aeeb-7405498a5f31",
"pref_label": {
"en": "University of Copenhagen",
"fi": "University of Copenhagen",
"sv": "University of Copenhagen"
},
"external_identifier": "https://ror.org/035b05819"
}
},
{
"id": "f2d148f5-1c14-49ab-8b3d-f2cf57d28aef",
"roles": [
"contributor"
],
"person": {
"id": "e55dc23d-0b37-4268-b497-e3d645f34abc",
"name": "Luis Delgado Zambrano"
},
"organization": {
"id": "8aa1d133-4899-4c4f-a35a-71cb250e8f3e",
"pref_label": {
"en": "The Royal Institute of Technology (KTH)",
"fi": "KTH Royal Institute of Technology",
"sv": "KTH Royal Institute of Technology"
}
}
},
{
"id": "e8dd6951-8d37-4263-9326-30e29f457c2d",
"roles": [
"contributor"
],
"person": {
"id": "b657a7af-f624-4cc2-ac34-bec4b2c8e28c",
"name": "Theodor Sperlea"
},
"organization": {
"id": "c64b7fe6-13e2-4faf-9fda-4249e2b4fd13",
"pref_label": {
"en": "Leibniz Institute for Baltic Sea Research",
"fi": "Leibniz Institute for Baltic Sea Research",
"sv": "Leibniz Institute for Baltic Sea Research"
},
"external_identifier": "https://ror.org/03xh9nq73"
}
},
{
"id": "614f9f74-3814-4a2f-93b9-f8bc0d2e84a8",
"roles": [
"contributor"
],
"person": {
"id": "3fcbe64a-c16b-40de-95af-5f01e75ba1c9",
"name": "Christiane Hassenrück"
},
"organization": {
"id": "c64b7fe6-13e2-4faf-9fda-4249e2b4fd13",
"pref_label": {
"en": "Leibniz Institute for Baltic Sea Research",
"fi": "Leibniz Institute for Baltic Sea Research",
"sv": "Leibniz Institute for Baltic Sea Research"
},
"external_identifier": "https://ror.org/03xh9nq73"
}
},
{
"id": "bcfba554-b4ce-426d-bb8f-a7fb7baa04a1",
"roles": [
"contributor"
],
"person": {
"id": "4a64fe87-27fd-49bb-9d83-63d201d06185",
"name": "Daniel P. R. Herlemann"
},
"organization": {
"id": "d5bfc42e-5839-4a2c-afa3-22c03a340421",
"pref_label": {
"en": "Estonian University of Life Sciences",
"fi": "Estonian University of Life Sciences",
"sv": "Estonian University of Life Sciences"
},
"external_identifier": "https://ror.org/00s67c790"
}
},
{
"id": "a77236be-4052-4d8f-9a97-a7eb1630f95d",
"roles": [
"contributor"
],
"person": {
"id": "ebeceb3d-583c-4fd5-ab35-ea808856ea30",
"name": "Christian Pansch",
"external_identifier": "https://orcid.org/0000-0001-8442-4502"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "a114f0d2-9541-496f-aaa3-e57bc8f41f4d",
"roles": [
"contributor"
],
"person": {
"id": "b1c265d2-c7e6-468e-9933-825baaf38725",
"name": "Marija Kataržytė"
},
"organization": {
"id": "ac952cc0-0e2e-49d6-9269-06ced04696cb",
"pref_label": {
"en": "Klaipėda University",
"fi": "Klaipėda University",
"sv": "Klaipėda University"
},
"external_identifier": "https://ror.org/027sdcz20"
}
},
{
"id": "dc8bd1ab-d08b-427a-81a4-442b681b6124",
"roles": [
"contributor"
],
"person": {
"id": "68450ac2-e238-4ef7-bfae-011c7fba2e28",
"name": "Thorsten Reusch"
},
"organization": {
"id": "2c61f721-48b4-4a4d-9bbb-b160e14edf1b",
"pref_label": {
"en": "GEOMAR Helmholtz Centre for Ocean Research Kiel",
"fi": "GEOMAR Helmholtz Centre for Ocean Research Kiel",
"sv": "GEOMAR Helmholtz Centre for Ocean Research Kiel"
},
"external_identifier": "https://ror.org/02h2x0161"
}
},
{
"id": "6d5ddd82-3e5c-46bd-ab52-798417924e82",
"roles": [
"contributor"
],
"person": {
"id": "cc9091a2-d176-4639-9b78-8773d7f21134",
"name": "Greta Gyraitė"
},
"organization": {
"id": "ac952cc0-0e2e-49d6-9269-06ced04696cb",
"pref_label": {
"en": "Klaipėda University",
"fi": "Klaipėda University",
"sv": "Klaipėda University"
},
"external_identifier": "https://ror.org/027sdcz20"
}
},
{
"id": "3a69faa0-2d5b-4a5f-bf35-a9b5a73a763a",
"roles": [
"contributor"
],
"person": {
"id": "7937324a-f091-4a03-8ba2-9c55dc531f45",
"name": "Detlef Schulz-Bull"
},
"organization": {
"id": "c64b7fe6-13e2-4faf-9fda-4249e2b4fd13",
"pref_label": {
"en": "Leibniz Institute for Baltic Sea Research",
"fi": "Leibniz Institute for Baltic Sea Research",
"sv": "Leibniz Institute for Baltic Sea Research"
},
"external_identifier": "https://ror.org/03xh9nq73"
}
},
{
"id": "aadb22f6-0fd4-4540-98c1-2079298bc1fc",
"roles": [
"contributor"
],
"person": {
"id": "54ff841b-321f-4e5a-9626-81f3e7f52554",
"name": "Heike Benterbusch-Brockmöller"
},
"organization": {
"id": "c64b7fe6-13e2-4faf-9fda-4249e2b4fd13",
"pref_label": {
"en": "Leibniz Institute for Baltic Sea Research",
"fi": "Leibniz Institute for Baltic Sea Research",
"sv": "Leibniz Institute for Baltic Sea Research"
},
"external_identifier": "https://ror.org/03xh9nq73"
}
},
{
"id": "53bb003d-5702-4dc6-a22a-be7655b6c948",
"roles": [
"contributor"
],
"person": {
"id": "3eeadec4-b63e-4b7f-9b58-52e2b1372dd9",
"name": "Susanne Dupke"
},
"organization": {
"id": "99cb895b-b011-4b89-a84d-ac020b0b27aa",
"pref_label": {
"en": "Robert Koch Institute",
"fi": "Robert Koch Institute",
"sv": "Robert Koch Institute"
},
"external_identifier": "https://ror.org/01k5qnb77"
}
},
{
"id": "8a5bde2e-56b7-46fa-906a-83d6afae4e20",
"roles": [
"contributor"
],
"person": {
"id": "9df8860b-c74c-46a9-a2bb-483145389758",
"name": "Anders F. Andersson"
},
"organization": {
"id": "8aa1d133-4899-4c4f-a35a-71cb250e8f3e",
"pref_label": {
"en": "The Royal Institute of Technology (KTH)",
"fi": "KTH Royal Institute of Technology",
"sv": "KTH Royal Institute of Technology"
}
}
},
{
"id": "43b6de9e-bdc4-41ff-9389-78a966d38b6d",
"roles": [
"contributor"
],
"person": {
"id": "67a1b0ee-654f-4ed5-974e-b05128c546f6",
"name": "Lasse Riemann"
},
"organization": {
"id": "6c045ce7-82cf-4141-aeeb-7405498a5f31",
"pref_label": {
"en": "University of Copenhagen",
"fi": "University of Copenhagen",
"sv": "University of Copenhagen"
},
"external_identifier": "https://ror.org/035b05819"
}
},
{
"id": "fee75e71-e60c-476c-9d5b-ff647d31ccd1",
"roles": [
"contributor"
],
"person": {
"id": "4d68f8f3-a544-4234-9256-7d9945956b0d",
"name": "Maria Sierks"
},
"organization": {
"id": "c64b7fe6-13e2-4faf-9fda-4249e2b4fd13",
"pref_label": {
"en": "Leibniz Institute for Baltic Sea Research",
"fi": "Leibniz Institute for Baltic Sea Research",
"sv": "Leibniz Institute for Baltic Sea Research"
},
"external_identifier": "https://ror.org/03xh9nq73"
}
},
{
"id": "7f3a54ac-2dc7-4922-8bee-c7c92165c82d",
"roles": [
"contributor"
],
"person": {
"id": "bb0f69f6-48cc-4656-adfa-5380cb115a10",
"name": "Alwin Ahrends"
},
"organization": {
"id": "c64b7fe6-13e2-4faf-9fda-4249e2b4fd13",
"pref_label": {
"en": "Leibniz Institute for Baltic Sea Research",
"fi": "Leibniz Institute for Baltic Sea Research",
"sv": "Leibniz Institute for Baltic Sea Research"
},
"external_identifier": "https://ror.org/03xh9nq73"
}
},
{
"id": "7f5e801a-eb1c-4b81-a4ce-e57fdb14aa21",
"roles": [
"contributor"
],
"person": {
"id": "463d0848-c1e6-4095-b888-9626b60b3695",
"name": "Florian Bruck"
},
"organization": {
"id": "c64b7fe6-13e2-4faf-9fda-4249e2b4fd13",
"pref_label": {
"en": "Leibniz Institute for Baltic Sea Research",
"fi": "Leibniz Institute for Baltic Sea Research",
"sv": "Leibniz Institute for Baltic Sea Research"
},
"external_identifier": "https://ror.org/03xh9nq73"
}
},
{
"id": "d9cb0643-7503-4008-b617-33d84124514f",
"roles": [
"publisher"
],
"organization": {
"id": "3574de00-1220-4b8f-acfb-872fc8151d85",
"pref_label": {
"en": "Leibniz-Institute for Baltic Sea Research",
"fi": "Leibniz-Institute for Baltic Sea Research",
"sv": "Leibniz-Institute for Baltic Sea Research"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Data was collected in the framework of the project BaltVib to analyse the microbial community composition in pelagic and benthic habitats with special focus on Vibrio spp. bacteria inside and outside of eelgrass meadows (Zostera marina), and selected macroalgae populations (Fucus spp.) in the salinity gradient of shallow coastal waters of the Baltic Sea. The temporal extent of the dataset is 25.07.2021 to 02.09.2021. The geographic extent of the dataset is spanning from 9°52,655 E to 25°00,698 W and 60°06,547 N to 54°00,8666 S. The measurement depth ranges from 0.2 meters to 7 meters. Salinity ranges from 4 to 14. Environmental parameters measured are: conductivity, temperature, pH, Secchi depth, chlorophyll a, dissolved oxygen, ammonium, nitrate, nitrite, phosphate, silicate, grain size, dissolved organic carbon, dissolved nitrogen, particulate organic nitrogen, particulate organic carbon. Vibrio spp. colony forming units were counted using TCBS agar plates. Abundance of Vibrio vulnificus was determined by ddPCR in water and sediment samples as well as in Zostera marina surface biofilm. Cell counts by flow cytometry contain: Synechococcus, Picoeukaryota, Nanoeukaryota, high-nucleic acid bacteria, low-nucleic acid bacteria. Macrophyte abundance was measured for Zostera marina and Fucus spp.."
},
"field_of_science": [
{
"id": "ea57f07d-16d8-4c7a-8a52-39ef1112278a",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1181",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Ecology, evolutionary biology",
"fi": "Ekologia, evoluutiobiologia",
"sv": "Ekologi, evolutionsbiologi"
}
}
],
"infrastructure": [],
"issued": "2025-01-01",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.12754/data-2023-0010",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "The occurrence of Vibrio spp. in the salinity gradient of shallow coastal waters of the Baltic Sea – data set including environmental and microbiological data (EU Biodiversa project BaltVib)"
},
"created": "2025-03-17T05:54:59Z",
"modified": "2025-06-30T06:41:33Z",
"dataset_versions": [
{
"id": "b07ec008-aae5-40c0-b1c9-938803ab8004",
"title": {
"en": "The occurrence of Vibrio spp. in the salinity gradient of shallow coastal waters of the Baltic Sea – data set including environmental and microbiological data (EU Biodiversa project BaltVib)"
},
"persistent_identifier": "doi:10.12754/data-2023-0010",
"state": "published",
"created": "2025-03-17T05:54:59Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "a2e9cf1c-db90-439e-a859-3c7e628c13fc",
"access_rights": {
"id": "6daa587d-a967-41f9-a4b5-b4bf55e62d55",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "6db5043d-ca63-465a-9cff-07b4d571f28a",
"roles": [
"creator"
],
"person": {
"id": "82c640c1-e579-407c-abf4-0162dc4770c9",
"name": "Linus Andersson"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "dd4f465f-4d1f-478a-b744-d3de35673722",
"roles": [
"creator"
],
"person": {
"id": "928c6e49-5403-4dc6-853b-1de68652e826",
"name": "Jan Saarela"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "376761fa-8b2e-4d63-a97e-9e79dd6858b4",
"roles": [
"creator"
],
"person": {
"id": "3ea75650-c7af-4512-877b-e3051d610f1c",
"name": "Caroline Uggla"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "8ec876fb-c2ff-44ad-a9cf-40a932e44c5b",
"roles": [
"publisher"
],
"organization": {
"id": "bcdeff01-216a-4d2a-9774-8f41e9b18863",
"pref_label": {
"en": "The Royal Society",
"fi": "The Royal Society",
"sv": "The Royal Society"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Contains code and data to reproduce the figures and tables"
},
"field_of_science": [
{
"id": "8573d25c-7d59-4edf-b18f-a5bd75caea1f",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta5142",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Social policy",
"fi": "Sosiaali- ja yhteiskuntapolitiikka",
"sv": "Social- och samhällspolitik"
}
}
],
"infrastructure": [],
"issued": "2023-06-30",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.6084/m9.figshare.23608215.v1",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "Reproduction package from A matter of time: Bateman's principles and mating success as count and duration across social strata in contemporary Finland"
},
"created": "2025-03-17T05:54:57Z",
"modified": "2025-06-30T06:41:29Z",
"dataset_versions": [
{
"id": "a2e9cf1c-db90-439e-a859-3c7e628c13fc",
"title": {
"en": "Reproduction package from A matter of time: Bateman's principles and mating success as count and duration across social strata in contemporary Finland"
},
"persistent_identifier": "doi:10.6084/m9.figshare.23608215.v1",
"state": "published",
"created": "2025-03-17T05:54:57Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "cb69c8fb-2234-4ad9-90c4-0486cf750a99",
"access_rights": {
"id": "2b8824e7-6781-4240-8c73-86ae83fc8abd",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "43720e8a-af93-458f-af21-3c6f16ea1d47",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/embargo",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Embargo",
"fi": "Embargo"
}
},
"restriction_grounds": [
{
"id": "0ed3a2e1-6c11-4278-af67-c6713f838ecd",
"url": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/other",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds",
"pref_label": {
"en": "Restricted access due to other reasons",
"fi": "Saatavuutta rajoitettu muulla perusteella",
"sv": "Begränsad åtkomst av övriga skäl"
}
}
]
},
"actors": [
{
"id": "3bc1172a-9787-4b2e-a4c7-e98413ac64fd",
"roles": [
"creator"
],
"person": {
"id": "f3b33fd1-8b5a-4f8e-90d9-e535380b5b74",
"name": "Amalie Ask"
},
"organization": {
"id": "9d26ce14-f461-4bd5-997a-fbe4d79a6725",
"pref_label": {
"en": "University of Turku",
"fi": "Turun yliopisto",
"sv": "Åbo universitet"
},
"external_identifier": "https://ror.org/05vghhr25"
}
},
{
"id": "eb561dfc-a8c0-4734-9f71-f86be01b0800",
"roles": [
"creator"
],
"person": {
"id": "6e4c89f4-e846-4152-9832-f37e081a6f5a",
"name": "Zhang Junjie"
},
"organization": {
"id": "1fb1da64-0c0c-44fd-9f33-800290f8b634",
"pref_label": {
"en": "Norwegian University of Science and Technology",
"fi": "Norjan teknis-luonnontieteellinen yliopisto",
"sv": "Norwegian University of Science and Technology"
},
"external_identifier": "https://ror.org/05xg72x27"
}
},
{
"id": "a231b3aa-2f07-4d44-a826-bd1cb701030e",
"roles": [
"creator"
],
"person": {
"id": "15fb8409-f5d3-4cc6-81ba-23fc9db34593",
"name": "Alexandros Asimakopoulos"
},
"organization": {
"id": "835936f2-11a3-4baa-bdc5-19ef2ecdac97",
"pref_label": {
"sv": "NTNU Norges teknisk-naturvitenskapelige universitet"
}
}
},
{
"id": "760301c6-04bd-4f7d-841b-c252876b4342",
"roles": [
"creator"
],
"person": {
"id": "01776008-ea03-4017-85df-97189aead76b",
"name": "Veerle Jaspers"
},
"organization": {
"id": "1fb1da64-0c0c-44fd-9f33-800290f8b634",
"pref_label": {
"en": "Norwegian University of Science and Technology",
"fi": "Norjan teknis-luonnontieteellinen yliopisto",
"sv": "Norwegian University of Science and Technology"
},
"external_identifier": "https://ror.org/05xg72x27"
}
},
{
"id": "0dcdf66a-a747-422d-a66b-49278ec91477",
"roles": [
"creator"
],
"person": {
"id": "517b1e62-b57e-4773-a0b9-2e3110e60918",
"name": "Céline Arzel"
},
"organization": {
"id": "9d26ce14-f461-4bd5-997a-fbe4d79a6725",
"pref_label": {
"en": "University of Turku",
"fi": "Turun yliopisto",
"sv": "Åbo universitet"
},
"external_identifier": "https://ror.org/05vghhr25"
}
},
{
"id": "36c5d72f-cc56-4646-8f57-ee0116e39bd7",
"roles": [
"contributor"
],
"person": {
"id": "51de54dd-7ce3-4c45-983d-feaec38979ec",
"name": "Wasique Prian"
},
"organization": {
"id": "1fb1da64-0c0c-44fd-9f33-800290f8b634",
"pref_label": {
"en": "Norwegian University of Science and Technology",
"fi": "Norjan teknis-luonnontieteellinen yliopisto",
"sv": "Norwegian University of Science and Technology"
},
"external_identifier": "https://ror.org/05xg72x27"
}
},
{
"id": "990b3cf0-0a82-42f7-b663-9d209e3b5df5",
"roles": [
"contributor"
],
"person": {
"id": "81f636ed-c4e2-4d69-8856-be7ee9b22710",
"name": "Sunniva Frøyland"
},
"organization": {
"id": "1fb1da64-0c0c-44fd-9f33-800290f8b634",
"pref_label": {
"en": "Norwegian University of Science and Technology",
"fi": "Norjan teknis-luonnontieteellinen yliopisto",
"sv": "Norwegian University of Science and Technology"
},
"external_identifier": "https://ror.org/05xg72x27"
}
},
{
"id": "43d5949f-2f89-42ab-8351-591b0ed272ef",
"roles": [
"contributor"
],
"person": {
"id": "b6d3b71e-0b20-4511-9f7f-8833ad8b13fe",
"name": "Juho Jolkkonen"
},
"organization": {
"id": "e00b5cde-06d5-403a-b8fe-ee8b00ee96fb",
"pref_label": {
"en": "University of Jyväskylä",
"fi": "Jyväskylän yliopisto",
"sv": "Jyväskylä universitet"
},
"external_identifier": "https://ror.org/05n3dz165"
}
},
{
"id": "931a1a28-1fca-4d7e-bda4-979e017bef6b",
"roles": [
"contributor"
],
"person": {
"id": "97f600cc-5a79-4d30-9506-a0794b2eca77",
"name": "Nora Wilson",
"external_identifier": "https://orcid.org/0000-0002-7320-9097"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "7240473c-8239-43ac-ac2d-cc218e23b577",
"roles": [
"publisher"
],
"organization": {
"id": "b49fc61f-5408-4ec4-a130-6a1a5b62cc8c",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Dataset on contaminants of emerging concern in blood plasma from female common eiders (Somateria mollissima) sampled during the breeding season 2021, in Finland. The dataset will be made open access once the manuscript has been accepted for publication."
},
"field_of_science": [
{
"id": "7e12a692-26de-4e3c-b28c-64f8a32ef40a",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta114",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Physical sciences",
"fi": "Fysiikka",
"sv": "Fysik"
}
}
],
"infrastructure": [],
"issued": "2023-12-19",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.10405104",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "Contaminants of emerging concern in an endangered population of common eiders (Somateria mollissima) in the Baltic Sea"
},
"created": "2025-03-17T05:54:54Z",
"modified": "2025-06-30T06:41:24Z",
"dataset_versions": [
{
"id": "cb69c8fb-2234-4ad9-90c4-0486cf750a99",
"title": {
"en": "Contaminants of emerging concern in an endangered population of common eiders (Somateria mollissima) in the Baltic Sea"
},
"persistent_identifier": "doi:10.5281/zenodo.10405104",
"state": "published",
"created": "2025-03-17T05:54:54Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "a99577cf-2bad-45d3-b6f9-c13c83f488dd",
"access_rights": {
"id": "c8646e89-a8d9-4120-b188-0c9f576e839e",
"license": [
{
"id": "9f8e151c-af07-44f6-8104-a30b68fc2b3c",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC0-1.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication",
"fi": "Creative Commons Yleismaailmallinen (CC0 1.0) Public Domain -lausuma"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "e0dbd743-8bdd-4644-83d0-a2639781fe10",
"roles": [
"creator"
],
"person": {
"id": "c3e0e04e-6992-494a-bd40-1bff4bbec30d",
"name": "Tiina Salo",
"external_identifier": "https://orcid.org/0000-0002-5409-2612"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "b67d5b56-0f4d-4ad6-86b1-67b3a1b8cdde",
"roles": [
"creator"
],
"person": {
"id": "f5bab39f-f63f-4f80-954b-ded378eb5492",
"name": "Johanna Mattila"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "6688485e-392e-40d1-a858-c8da07821a95",
"roles": [
"creator"
],
"person": {
"id": "c8f587d1-22c4-4f57-927d-a36907c84b02",
"name": "Johan Eklöf"
},
"organization": {
"id": "e3baef22-ee4b-4e7d-83f1-29dcb0e6c29b",
"pref_label": {
"en": "Stockholm University",
"fi": "Tukholman yliopisto",
"sv": "Stockholms universitet"
},
"external_identifier": "https://ror.org/05f0yaq80"
}
},
{
"id": "c371bb9f-ee22-4ab7-8541-d5ae420d0aa5",
"roles": [
"publisher"
],
"organization": {
"id": "b976b5e5-bf42-4fd0-b21f-3267c88e4e51",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Effects of climate change on natural ecosystems can be mediated by ecological processes, but also by rapid evolutionary adaptations and/or non-heritable trait changes in organisms. So far, most studies testing the importance of inter- vs. intraspecific changes for how communities and their functioning responds to climate change are either short-term laboratory experiments in highly controlled (artificial) environments, or long-term field surveys suffering from lack of experimental manipulation. Here, we quantified how community composition and functioning has changed in response to long-term warming, including the potential direct and indirect effects via immediate and delayed physiological, non-heritable plastic, ecological, evolutionary and eco-evolutionary responses. We used a space-for-time approach, sampling sites in an artificially heated basin and a nearby area to quantify how >30 years of experimental warming in situ affects benthic grazer communities and traits of grazer taxa, as well as their contribution to a key ecosystem function: grazing on filamentous algae. The community composition shifted with warming, because a non-native species was highly common, and taxa with higher mobility, became more common in the heated areas compared to the control sites. Warming altered community functioning but the underlying mechanisms varied between traits: increased metabolism was caused by intraspecific trait change, while increased grazing rate was mainly driven by species turnover. Our results suggest that both population- and community-level processes mediate the responses of natural communities to long-term environmental change, and that the ongoing warming of coastal waters is likely to alter the functioning of key marine ecosystems."
},
"field_of_science": [
{
"id": "ea57f07d-16d8-4c7a-8a52-39ef1112278a",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1181",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Ecology, evolutionary biology",
"fi": "Ekologia, evoluutiobiologia",
"sv": "Ekologi, evolutionsbiologi"
}
}
],
"infrastructure": [],
"issued": "2019-11-20",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5061/dryad.bzkh1894s",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "Long-term warming affects ecosystem functioning through species turnover and intraspecific trait variation"
},
"created": "2025-03-17T05:54:52Z",
"modified": "2025-06-30T06:41:19Z",
"dataset_versions": [
{
"id": "a99577cf-2bad-45d3-b6f9-c13c83f488dd",
"title": {
"en": "Long-term warming affects ecosystem functioning through species turnover and intraspecific trait variation"
},
"persistent_identifier": "doi:10.5061/dryad.bzkh1894s",
"state": "published",
"created": "2025-03-17T05:54:52Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "a99c77d5-15bc-4bb6-b982-7221015fceb9",
"access_rights": {
"id": "052ebaec-1f82-45e7-a592-cbb666e43865",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "6cb54556-3406-4822-aafb-597273e569f6",
"roles": [
"creator"
],
"person": {
"id": "b76c3e17-506f-4ef7-b45c-7428e006b578",
"name": "Guillaume Jacquemet",
"external_identifier": "https://orcid.org/0000-0002-9286-920X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "a36bbcc9-60df-4b2b-8d21-7aca231f85e1",
"roles": [
"publisher"
],
"organization": {
"id": "30f979b1-1713-4e7f-a6f0-19867dfe79c3",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Name: ZeroCostDL4Mic - CARE (3D) example training and test dataset (see our Wiki for details) Data type: 3D paired microscopy images (fluorescence) of low and high signal-to-noise ratio Microscopy data type: Fluorescence microscopy (Lifeact-RFP) Microscope: Structured Illumination Microscopy (SIM) with a 60x 1.42 NA objective Cell type: DCIS.COM Lifeact-RFP File format: .tif (32-bit) Image size: 1024x1024x33 (Pixel size: x,y: 40 nm, z: 125 nm) Author(s): Guillaume Jacquemet1,2 Contact email: guillaume.jacquemet@abo.fi Affiliation: 1) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland 2) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland Associated publications: Unpublished Funding bodies: G.J. was supported by grants awarded by the Academy of Finland, the Sigrid Juselius Foundation and Åbo Akademi University Research Foundation (CoE CellMech) and by Drug Discovery and Diagnostics strategic funding to Åbo Akademi University."
},
"field_of_science": [
{
"id": "e9745cdf-d0e1-4797-8fee-3324e5b2bee2",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1182",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Biochemistry, cell and molecular biology",
"fi": "Biokemia, solu- ja molekyylibiologia",
"sv": "Biokemi, cell- och molekylärbiologi"
}
}
],
"infrastructure": [],
"issued": "2020-03-17",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.3713337",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "ZeroCostDL4Mic - CARE (3D) example training and test dataset"
},
"created": "2025-03-17T05:54:50Z",
"modified": "2025-06-30T06:41:14Z",
"dataset_versions": [
{
"id": "a99c77d5-15bc-4bb6-b982-7221015fceb9",
"title": {
"en": "ZeroCostDL4Mic - CARE (3D) example training and test dataset"
},
"persistent_identifier": "doi:10.5281/zenodo.3713337",
"state": "published",
"created": "2025-03-17T05:54:50Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "d7371a86-600e-49d6-be8b-da94553903d1",
"access_rights": {
"id": "35d8cc92-7d1b-4b7b-afaa-80a15833a9d7",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "a1844a95-1b83-4faa-9c63-9a0e389fc95d",
"roles": [
"creator"
],
"person": {
"id": "08ad7fa5-3ae6-48ba-9e86-b912b64b5dc8",
"name": "Guillaume Jacquemet",
"external_identifier": "https://orcid.org/0000-0002-9286-920X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "7dc4fb35-e8c1-468f-b7ec-d49be48b7687",
"roles": [
"publisher"
],
"organization": {
"id": "7fd23f00-d408-4012-a73a-fec5e811c17e",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Name: ZeroCostDL4Mic - Noise2Void (3D) example training and test dataset (see our Wiki for details) Data type: 3D microscopy images (fluorescence) Microscopy data type: Fluorescence microscopy (Lifeact-RFP) Microscope: Spinning disk confocal microscope with a 63x 1.4 NA objective Cell type: A2780 ovarian carcinoma cells, transiently expressing Lifeact-RFP File format: .tif (16-bit) Image size: 512x512x13 (Pixel size: x,y: 195 nm , z: 500 nm) Author(s): Guillaume Jacquemet1,2 Contact email: guillaume.jacquemet@abo.fi Affiliation: 1) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland 2) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland Associated publications: Kaukonen et al. 2017, Nature Protocol DOI: 10.1038/nprot.2017.107 Funding bodies: G.J. was supported by grants awarded by the Academy of Finland, the Sigrid Juselius Foundation and Åbo Akademi University Research Foundation (CoE CellMech) and by Drug Discovery and Diagnostics strategic funding to Åbo Akademi University."
},
"field_of_science": [
{
"id": "e9745cdf-d0e1-4797-8fee-3324e5b2bee2",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1182",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Biochemistry, cell and molecular biology",
"fi": "Biokemia, solu- ja molekyylibiologia",
"sv": "Biokemi, cell- och molekylärbiologi"
}
}
],
"infrastructure": [],
"issued": "2020-03-17",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.3713326",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "ZeroCostDL4Mic - Noise2Void (3D) example training and test dataset"
},
"created": "2025-03-17T05:54:48Z",
"modified": "2025-06-30T06:41:10Z",
"dataset_versions": [
{
"id": "d7371a86-600e-49d6-be8b-da94553903d1",
"title": {
"en": "ZeroCostDL4Mic - Noise2Void (3D) example training and test dataset"
},
"persistent_identifier": "doi:10.5281/zenodo.3713326",
"state": "published",
"created": "2025-03-17T05:54:48Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "3bb5824d-ccc2-4d80-b825-3bdeb90c3260",
"access_rights": {
"id": "0c2e3988-4d5a-4a27-a998-951d6370b84d",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "38fb5262-cd71-4b7e-8804-6f75992df2f5",
"roles": [
"creator"
],
"person": {
"id": "1a9f1278-fe2b-4ade-ae7e-6e0f4def85b7",
"name": "Aki Stubb"
},
"organization": {
"id": "04281e40-530e-4b2e-9ef4-0ea0fa3e09a2",
"pref_label": {
"en": "University of Turku and Åbo Akademi University"
}
}
},
{
"id": "c724c0a6-af0a-4c91-a5ef-8ac733e3707e",
"roles": [
"creator"
],
"person": {
"id": "f0baedf1-a30c-4df0-9e01-612287446132",
"name": "Guillaume Jacquemet",
"external_identifier": "https://orcid.org/0000-0002-9286-920X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "7d522af3-95b8-4995-9d1f-16de5d7ade10",
"roles": [
"creator"
],
"person": {
"id": "afbd8378-8542-45c8-8b4a-a6240540a806",
"name": "Johanna Ivaska"
},
"organization": {
"id": "04281e40-530e-4b2e-9ef4-0ea0fa3e09a2",
"pref_label": {
"en": "University of Turku and Åbo Akademi University"
}
}
},
{
"id": "bded2256-1275-43a1-9d37-78049618d00a",
"roles": [
"publisher"
],
"organization": {
"id": "c557a1bd-b2bd-43f4-b2ea-2755bbbe2958",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Name: ZeroCostDL4Mic - Noise2Void (2D) example training and test dataset (see our Wiki for details) Data type: Microscopy images (fluorescence) Microscopy data type: Fluorescence microscopy (paxillin-GFP) Microscope: Spinning disk confocal microscope with a 63x 1.4 NA objective Cell type: U-251 glioma cells, endogenously expressing paxillin-GFP File format: .tif (16-bit) Image size: 512x512 (Pixel size: 248 nm) Author(s): Aki Stubb1, Guillaume Jacquemet1,2 and Johanna Ivaska1 Contact email: guillaume.jacquemet@abo.fi Affiliation: 1) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland 2) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland Associated publication: Stubb et al. 2020, Nano letters DOI: 10.1021/acs.nanolett.9b04083 Funding bodies: A.S. has been supported by the University of Turku Doctoral programme for Molecular Medicine (TuDMM)."
},
"field_of_science": [
{
"id": "e9745cdf-d0e1-4797-8fee-3324e5b2bee2",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1182",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Biochemistry, cell and molecular biology",
"fi": "Biokemia, solu- ja molekyylibiologia",
"sv": "Biokemi, cell- och molekylärbiologi"
}
}
],
"infrastructure": [],
"issued": "2020-03-17",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.3713315",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "ZeroCostDL4Mic - Noise2Void (2D) example training and test dataset"
},
"created": "2025-03-17T05:54:46Z",
"modified": "2025-06-30T06:41:05Z",
"dataset_versions": [
{
"id": "3bb5824d-ccc2-4d80-b825-3bdeb90c3260",
"title": {
"en": "ZeroCostDL4Mic - Noise2Void (2D) example training and test dataset"
},
"persistent_identifier": "doi:10.5281/zenodo.3713315",
"state": "published",
"created": "2025-03-17T05:54:46Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "06efc4c0-b5b5-4dc1-ab2a-4eb6012d61ad",
"access_rights": {
"id": "3b19f62a-640c-4942-8706-fe7afd211a0f",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "3ed84ecf-01d3-4fff-b3d0-ac074a8dbe16",
"roles": [
"creator"
],
"person": {
"id": "e7da4562-c03a-4aec-91cb-0e827b4092e2",
"name": "Guillaume Jacquemet",
"external_identifier": "https://orcid.org/0000-0002-9286-920X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "5039bc6f-0543-4f28-9b7f-ff68c0848848",
"roles": [
"publisher"
],
"organization": {
"id": "e8abbfe8-e1d0-48ae-8163-a7d45a782425",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Name: ZeroCostDL4Mic - CARE (2D) example training and test dataset (see our Wiki for details) Data type: Paired microscopy images (fluorescence) of low and high signal-to-noise ratio Microscopy data type: Fluorescence microscopy (Lifeact-RFP) Microscope: Structured Illumination Microscopy (SIM) with a 60x 1.42 NA objective Cell type: DCIS.COM Lifeact-RFP File format: .tif (32-bit) Image size: 1024x1024 (Pixel size: 40 nm) Author(s): Guillaume Jacquemet1,2 Contact email: guillaume.jacquemet@abo.fi Affiliation: 1) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland 2) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland Associated publications: Unpublished Funding bodies: G.J. was supported by grants awarded by the Academy of Finland, the Sigrid Juselius Foundation and Åbo Akademi University Research Foundation (CoE CellMech) and by Drug Discovery and Diagnostics strategic funding to Åbo Akademi University."
},
"field_of_science": [
{
"id": "e9745cdf-d0e1-4797-8fee-3324e5b2bee2",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1182",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Biochemistry, cell and molecular biology",
"fi": "Biokemia, solu- ja molekyylibiologia",
"sv": "Biokemi, cell- och molekylärbiologi"
}
}
],
"infrastructure": [],
"issued": "2020-03-17",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.3713330",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "ZeroCostDL4Mic - CARE (2D) example training and test dataset"
},
"created": "2025-03-17T05:54:42Z",
"modified": "2025-06-30T06:40:55Z",
"dataset_versions": [
{
"id": "06efc4c0-b5b5-4dc1-ab2a-4eb6012d61ad",
"title": {
"en": "ZeroCostDL4Mic - CARE (2D) example training and test dataset"
},
"persistent_identifier": "doi:10.5281/zenodo.3713330",
"state": "published",
"created": "2025-03-17T05:54:42Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "165ee0d7-fee5-4a25-bf69-bf61d28dc6b0",
"access_rights": {
"id": "5b2a1f82-2c32-4eb9-96c7-b47a1fd34b3b",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "879605f2-3886-451b-b8c9-47385c829923",
"roles": [
"creator"
],
"person": {
"id": "15d20af3-ac94-481a-a5d1-28c17a388c68",
"name": "Guillaume Jacquemet",
"external_identifier": "https://orcid.org/0000-0002-9286-920X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "a1386afe-2b57-4967-9242-d640b88d9fd3",
"roles": [
"publisher"
],
"organization": {
"id": "079dce73-8947-431b-8eac-403774b18240",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Name: ZeroCostDL4Mic - pix2pix example training and test dataset (see our Wiki for details) Data type: Paired microscopy images (fluorescence) of lifeact-RFP and sir-DNA Microscopy data type: Fluorescence microscopy Microscope: Spinning disk confocal microscope with a 20x 0.8 NA objective Cell type: DCIS.COM Lifeact-RFP cells File format: .png (RGB images) Image size: 1024x1024 (Pixel size: 634 nm) Author(s): Guillaume Jacquemet1,2,3 Contact email: guillaume.jacquemet@abo.fi Affiliation(s) : 1) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland 2) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku 3) ORCID: 0000-0002-9286-920X Associated publications: Unpublished Funding bodies: G.J. was supported by grants awarded by the Academy of Finland, the Sigrid Juselius Foundation and Åbo Akademi University Research Foundation (CoE CellMech) and by Drug Discovery and Diagnostics strategic funding to Åbo Akademi University."
},
"field_of_science": [
{
"id": "e9745cdf-d0e1-4797-8fee-3324e5b2bee2",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1182",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Biochemistry, cell and molecular biology",
"fi": "Biokemia, solu- ja molekyylibiologia",
"sv": "Biokemi, cell- och molekylärbiologi"
}
}
],
"infrastructure": [],
"issued": "2020-07-13",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.3941889",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "ZeroCostDL4Mic - pix2pix example training and test dataset"
},
"created": "2025-03-17T05:54:40Z",
"modified": "2025-06-30T06:40:51Z",
"dataset_versions": [
{
"id": "165ee0d7-fee5-4a25-bf69-bf61d28dc6b0",
"title": {
"en": "ZeroCostDL4Mic - pix2pix example training and test dataset"
},
"persistent_identifier": "doi:10.5281/zenodo.3941889",
"state": "published",
"created": "2025-03-17T05:54:40Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "a0bc1e13-e1f6-4f5c-a766-5779d37e10e1",
"access_rights": {
"id": "52a9e217-90fa-4c8b-8884-4bad964d7ce5",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "3f2ff88a-2278-42dc-a0eb-fe40d2d8c7cb",
"roles": [
"creator"
],
"person": {
"id": "d78b8553-d5e6-4f28-92be-4cf72932f36c",
"name": "Guillaume Jacquemet",
"external_identifier": "https://orcid.org/0000-0002-9286-920X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "45f96260-c338-4fdf-ad51-c2406d2e0e6b",
"roles": [
"creator"
],
"person": {
"id": "04d61d7d-d7d6-42a1-893f-3aae6fabfbf0",
"name": "Lucas von Chamier"
},
"organization": {
"id": "9a56b3dc-098c-41aa-b4b7-8b6e322b6e25",
"pref_label": {
"en": "MRC-Laboratory for Molecular Cell Biology. University College London"
}
}
},
{
"id": "67a0b078-adac-4c21-bcd0-3810adf306f8",
"roles": [
"publisher"
],
"organization": {
"id": "cca88323-928b-4854-9295-ff69ba2a9339",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Name: ZeroCostDL4Mic - YoloV2 example training and test dataset (see our Wiki for details) Data type: 2D grayscale .png images with corresponding bounding box annotations in .xml PASCAL Voc format. Microscopy data type: Phase contrast microscopy data (brightfield) Microscope: Inverted Zeiss Axio zoom widefield microscope equipped with an AxioCam MRm camera, an EL Plan-Neofluar 20 × /0.5 NA objective (Carl Zeiss), with a heated chamber (37 °C) and a CO2 controller (5%). Cell type: MDA-MB-231 cells migrating on cell-derived matrices generated by fibroblasts. File format: .png (8-bit) Image size: 1388 x 1040 px (323 nm) Author(s): Guillaume Jacquemet1,2,3, Lucas von Chamier4,5 Contact email: lucas.chamier.13@ucl.ac.uk and guillaume.jacquemet@abo.fi Affiliation(s): 1) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland 2) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku 3) ORCID: 0000-0002-9286-920X 4) MRC-Laboratory for Molecular Cell Biology. University College London, London, UK 5) ORCID: 0000-0002-9243-912X Associated publications: Jacquemet et al 2016. DOI: 10.1038/ncomms13297 Funding bodies: G.J. was supported by grants awarded by the Academy of Finland, the Sigrid Juselius Foundation and Åbo Akademi University Research Foundation (CoE CellMech) and by Drug Discovery and Diagnostics strategic funding to Åbo Akademi University."
},
"field_of_science": [
{
"id": "e9745cdf-d0e1-4797-8fee-3324e5b2bee2",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1182",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Biochemistry, cell and molecular biology",
"fi": "Biokemia, solu- ja molekyylibiologia",
"sv": "Biokemi, cell- och molekylärbiologi"
}
}
],
"infrastructure": [],
"issued": "2020-07-13",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.3941908",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "ZeroCostDL4Mic - YoloV2 example training and test dataset"
},
"created": "2025-03-17T05:54:38Z",
"modified": "2025-06-30T06:40:45Z",
"dataset_versions": [
{
"id": "a0bc1e13-e1f6-4f5c-a766-5779d37e10e1",
"title": {
"en": "ZeroCostDL4Mic - YoloV2 example training and test dataset"
},
"persistent_identifier": "doi:10.5281/zenodo.3941908",
"state": "published",
"created": "2025-03-17T05:54:38Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "bd512d57-66e1-4493-8699-d421f4c527dc",
"access_rights": {
"id": "1fadb5a8-6b96-42fe-a211-40f71e0980f9",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "09064afc-0bf1-4e25-be7d-7e4298e4eb40",
"roles": [
"creator"
],
"person": {
"id": "28b09099-5318-4e8c-b77b-7aef3b8304d6",
"name": "Guillaume Jacquemet",
"external_identifier": "https://orcid.org/0000-0002-9286-920X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "2aae80a9-4423-4538-85fa-6b45aeb21712",
"roles": [
"publisher"
],
"organization": {
"id": "ea2ee113-09cd-4d28-95f5-99f29a35fe39",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Name: ZeroCostDL4Mic - CycleGAN example training and test dataset (see our Wiki for details) Data type: unpaired microscopy images (fluorescence) of microtubules (Spinning-disk and SRRF reconstructed images) Microscopy data type: Fluorescence microscopy. Microscope: Spinning disk confocal microscope with a 100x 1.4 NA objective. SRRF reconstructions were performed using the latest generation of SRRF and 200 frames. Cell type: U2OS cells File format: .png (8-bit) Image size: 1024x1024 (Pixel size: 62.5 nm) Author(s): Guillaume Jacquemet1,2,3 Contact email: guillaume.jacquemet@abo.fi Affiliation(s) : 1) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland 2) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku 3) ORCID: 0000-0002-9286-920X Associated publications: Jacquemet et al 2020, Journal of Cell Science DOI: https://doi.org/10.1242/jcs.240713 Funding bodies: G.J. was supported by grants awarded by the Academy of Finland, the Sigrid Juselius Foundation and Åbo Akademi University Research Foundation (CoE CellMech) and by Drug Discovery and Diagnostics strategic funding to Åbo Akademi University."
},
"field_of_science": [
{
"id": "e9745cdf-d0e1-4797-8fee-3324e5b2bee2",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1182",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Biochemistry, cell and molecular biology",
"fi": "Biokemia, solu- ja molekyylibiologia",
"sv": "Biokemi, cell- och molekylärbiologi"
}
}
],
"infrastructure": [],
"issued": "2020-07-13",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.3941884",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "ZeroCostDL4Mic - CycleGAN example training and test dataset"
},
"created": "2025-03-17T05:54:36Z",
"modified": "2025-06-30T06:40:40Z",
"dataset_versions": [
{
"id": "bd512d57-66e1-4493-8699-d421f4c527dc",
"title": {
"en": "ZeroCostDL4Mic - CycleGAN example training and test dataset"
},
"persistent_identifier": "doi:10.5281/zenodo.3941884",
"state": "published",
"created": "2025-03-17T05:54:36Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "1857e88d-84f7-4bd9-aae4-805055335a22",
"access_rights": {
"id": "f9db2adf-7ae7-4272-9015-e53b349c7b97",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "b0a6be35-8ca4-4331-8dfd-868cc71498de",
"roles": [
"creator"
],
"person": {
"id": "0c45ced7-fc4e-4fa5-8a54-057be38f3e79",
"name": "Hussein Al-Akhrass"
},
"organization": {
"id": "41130f7f-00d5-4a8e-9550-1764f19d732e",
"pref_label": {
"en": "Turku Bioscience Centre, University of Turku and Åbo Akademi University"
}
}
},
{
"id": "a4bac68a-6755-47fb-8ef0-76e3ceb9237e",
"roles": [
"creator"
],
"person": {
"id": "2db6eb94-7557-442a-83a8-cfddc03eeea1",
"name": "Johanna Ivaska"
},
"organization": {
"id": "41130f7f-00d5-4a8e-9550-1764f19d732e",
"pref_label": {
"en": "Turku Bioscience Centre, University of Turku and Åbo Akademi University"
}
}
},
{
"id": "dc1c3104-4e4b-4401-aaca-547073f3843d",
"roles": [
"creator"
],
"person": {
"id": "5cbc3874-23d0-4f79-91cb-019c5b9ff890",
"name": "Guillaume Jacquemet",
"external_identifier": "https://orcid.org/0000-0002-9286-920X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "b69f61c8-6d2b-412c-bd98-ee9429422da7",
"roles": [
"publisher"
],
"organization": {
"id": "79656506-69a1-4b42-899a-8db3bca88535",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "StarDist Model: The StarDist model was generated using the ZeroCostDL4Mic platform (Chamier et al., 2021). This custom StarDist model was trained for 300 epochs using 46 manually annotated paired images (image dimensions: (1024, 1024)) with a batch size of 2, an augmentation factor of 4 and a mae loss function. The StarDist “Versatile fluorescent nuclei” model was used as a training starting point. Key python packages used include TensorFlow (v 0.1.12), Keras (v 2.3.1), CSBdeep (v 0.6.1), NumPy (v 1.19.5), Cuda (v 11.0.221). The training was accelerated using a Tesla P100GPU. The model weights can be used in the ZeroCostDL4Mic StarDist 2D notebook or in the StarDist Fiji plugin. StarDist Training dataset: Paired microscopy images (fluorescence) and corresponding masks Microscopy data type: Fluorescence microscopy (SiR-DNA) and masks obtained via manual segmentation (see https://github.com/HenriquesLab/ZeroCostDL4Mic/wiki/Stardist for details about the segmentation) Cells were imaged using a 20x Nikon CFI Plan Apo Lambda objective (NA 0.75) one frame every 10 minutes for 16h. Cell type: MDA-MB-231 cells and BT20 cells File format: .tif (16-bit for fluorescence and 8 and 16-bit for the masks)"
},
"field_of_science": [
{
"id": "e9745cdf-d0e1-4797-8fee-3324e5b2bee2",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1182",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Biochemistry, cell and molecular biology",
"fi": "Biokemia, solu- ja molekyylibiologia",
"sv": "Biokemi, cell- och molekylärbiologi"
}
}
],
"infrastructure": [],
"issued": "2021-05-26",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.4811213",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "Stardist model and training dataset for automated tracking of MDA-MB-231 and BT20 cells"
},
"created": "2025-03-17T05:54:34Z",
"modified": "2025-06-30T06:40:36Z",
"dataset_versions": [
{
"id": "1857e88d-84f7-4bd9-aae4-805055335a22",
"title": {
"en": "Stardist model and training dataset for automated tracking of MDA-MB-231 and BT20 cells"
},
"persistent_identifier": "doi:10.5281/zenodo.4811213",
"state": "published",
"created": "2025-03-17T05:54:34Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "b3e85dee-01a9-4634-bbb3-f90ef42153c9",
"access_rights": {
"id": "609b9f82-8e6e-4139-acfc-8ffa4b586a1b",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "a7eefb51-4777-4194-bbfa-ec5d4f507204",
"roles": [
"creator"
],
"person": {
"id": "d847276d-351f-4fba-97eb-60c77840b04e",
"name": "Andrey Sadovykh"
},
"organization": {
"id": "744dc18a-461d-4bf4-9edb-e34c84aa9249",
"pref_label": {
"en": "Innopolis University"
}
}
},
{
"id": "490b19fd-6860-4722-a170-e22f5a95f34d",
"roles": [
"creator"
],
"person": {
"id": "d847276d-351f-4fba-97eb-60c77840b04e",
"name": "Andrey Sadovykh"
},
"organization": {
"id": "b25c0500-a69c-42ab-b60a-ac9b68c9336c",
"pref_label": {
"en": "SOFTEAM",
"fi": "SOFTEAM",
"sv": "SOFTEAM"
}
}
},
{
"id": "7c1d2f74-aae1-4eb4-9410-e51415d3b9c0",
"roles": [
"creator"
],
"person": {
"id": "a9945def-d88a-4d5d-959a-5c9521924515",
"name": "Hugo Bruneliere"
},
"organization": {
"id": "b0cb5ccb-9587-4b23-bade-a52222a5897b",
"pref_label": {
"en": "IMT Atlantique, LS2N (UMR CNRS 6004)"
}
}
},
{
"id": "09528da6-49a4-4341-a839-41e67d62994e",
"roles": [
"creator"
],
"person": {
"id": "dd675b4b-3993-4838-94f5-518dd967ded7",
"name": "Dragos Truscan",
"external_identifier": "https://orcid.org/0000-0002-4367-6225"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "1e0b5309-1940-4ffc-aa89-cff15cc33c5d",
"roles": [
"publisher"
],
"organization": {
"id": "5dbeafaa-8667-4b15-bf29-ba1acdf96e8e",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "This dataset and its associated report contain the results of an online survey on using a model-based requirements engineering approach in three European projects."
},
"field_of_science": [
{
"id": "33d291b9-9b23-4192-b878-cffc210af1d3",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta113",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Computer and information sciences",
"fi": "Tietojenkäsittely ja informaatiotieteet",
"sv": "Data- och informationsvetenskap"
}
}
],
"infrastructure": [],
"issued": "2021-06-22",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.5011437",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "Dataset - Survey results - Applying Model-based Requirements Engineering in Three Large European Collaborative Projects"
},
"created": "2025-03-17T05:53:07Z",
"modified": "2025-06-30T06:40:32Z",
"dataset_versions": [
{
"id": "b3e85dee-01a9-4634-bbb3-f90ef42153c9",
"title": {
"en": "Dataset - Survey results - Applying Model-based Requirements Engineering in Three Large European Collaborative Projects"
},
"persistent_identifier": "doi:10.5281/zenodo.5011437",
"state": "published",
"created": "2025-03-17T05:53:07Z",
"version": 1
}
],
"published_revision": 5,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "ec4ee7e2-f2d9-431a-bf49-761b4f996588",
"access_rights": {
"id": "fcb9c7e5-0bc1-4906-b443-c9b8fd450692",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "236dfd51-59d9-48f5-8e53-4eaa3180a8ef",
"roles": [
"creator",
"contributor"
],
"person": {
"id": "830d03ac-109e-4663-bd48-b2ba97195750",
"name": "P. Daniel van Denderen"
},
"organization": {
"id": "04e0a516-24a3-4657-b116-96c2b402ccb5",
"pref_label": {
"en": "National Institute of Aquatic Resources - DTU"
}
}
},
{
"id": "4b487c09-4a89-4481-a621-eb991462972f",
"roles": [
"creator"
],
"person": {
"id": "96ea7616-e3cf-4aa9-a769-d6f49e2dbef1",
"name": "Anna Törnroos",
"external_identifier": "https://orcid.org/0000-0002-5790-2449"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "66be950e-217d-490d-a4fd-80a9d29fb52e",
"roles": [
"creator"
],
"person": {
"id": "e8ab80ec-1bab-42ea-bc2b-d18bdcd67c8c",
"name": "Marija Sciberras"
},
"organization": {
"id": "81ea498e-3b48-42c8-ab05-64cb7ed40694",
"pref_label": {
"en": "The Lyell Centre - Heriot-Watt University"
}
}
},
{
"id": "f51a45c4-6e3e-4bde-b1c3-89b01dce84cf",
"roles": [
"creator"
],
"person": {
"id": "92eb1e0c-5175-45f4-a9c4-759e378c0b93",
"name": "Hilmar Hinz"
},
"organization": {
"id": "71906c50-5a60-40a3-b0c2-ce2759fde0cc",
"pref_label": {
"en": "Mediterranean Institute for Advanced Studies - Universitat de les Illes Balears"
}
}
},
{
"id": "d1b6b460-a6a6-42dd-b053-8fa86a82ab47",
"roles": [
"creator"
],
"person": {
"id": "49efd7ee-94ad-427e-a1e1-8dd8279e4f20",
"name": "Rafal Lasota"
},
"organization": {
"id": "bf7997bd-538b-4702-876d-0df034819e7d",
"pref_label": {
"en": "Department of Marine Ecosystem Functioning - UG"
}
}
},
{
"id": "f01e047b-63f4-470f-9930-22ef18d98948",
"roles": [
"creator"
],
"person": {
"id": "f636b886-9f65-490c-a832-4208d45eb1bb",
"name": "Maria Cristina Mangano"
},
"organization": {
"id": "71906c50-5a60-40a3-b0c2-ce2759fde0cc",
"pref_label": {
"en": "Mediterranean Institute for Advanced Studies - Universitat de les Illes Balears"
}
}
},
{
"id": "0379935c-2a04-47e7-b7fa-3742fe1da264",
"roles": [
"creator"
],
"person": {
"id": "4f9d01e2-7b8b-4cb0-a00f-32892b5cdf9b",
"name": "Sebastian Valanko"
},
"organization": {
"id": "922dabfd-612e-464c-8485-7d56ced587aa",
"pref_label": {
"en": "ICES Secretariat - ICES, Denmark"
}
}
},
{
"id": "04db8149-fe0e-4a24-a01a-3288dc18b65b",
"roles": [
"creator"
],
"person": {
"id": "fdbe4e27-c3ce-45c1-8b96-f701c33a734e",
"name": "Jan Geert Hiddink"
},
"organization": {
"id": "a469226f-ba35-4996-94f5-5cbadf17aa0b",
"pref_label": {
"en": "School of Ocean Sciences - Bangor University"
}
}
},
{
"id": "393c5826-1840-4a05-8134-9a76abcf9e5f",
"roles": [
"publisher"
],
"organization": {
"id": "396086a6-6a54-4a25-8428-b06784737b62",
"pref_label": {
"en": "Marine Data Archive",
"fi": "Marine Data Archive",
"sv": "Marine Data Archive"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Benthic sampling with box core and dredge in 19 sampling locations in the Southern Baltic Sea in Polish waters."
},
"field_of_science": [
{
"id": "ea57f07d-16d8-4c7a-8a52-39ef1112278a",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1181",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Ecology, evolutionary biology",
"fi": "Ekologia, evoluutiobiologia",
"sv": "Ekologi, evolutionsbiologi"
}
}
],
"infrastructure": [],
"issued": "2022-05-09",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.14284/567",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "Benthic invertebrate sampling over gradients of commercial trawling intensity and oxygen depletion in the Southern Baltic Sea"
},
"created": "2025-03-17T05:54:31Z",
"modified": "2025-06-30T06:40:27Z",
"dataset_versions": [
{
"id": "ec4ee7e2-f2d9-431a-bf49-761b4f996588",
"title": {
"en": "Benthic invertebrate sampling over gradients of commercial trawling intensity and oxygen depletion in the Southern Baltic Sea"
},
"persistent_identifier": "doi:10.14284/567",
"state": "published",
"created": "2025-03-17T05:54:31Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "78073ea3-a704-4fb9-b9e5-8a1f12cc174d",
"access_rights": {
"id": "6a94e2ea-a24f-44eb-a9b7-45f360a09bb3",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "d673a8e0-ac55-4352-a15e-fd77f0869984",
"roles": [
"creator"
],
"person": {
"id": "05643b28-e473-4ce9-8614-72e67ef9c8ec",
"name": "Romain F. Laine"
},
"organization": {
"id": "745005fc-d225-493d-ad59-3d8346ef7561",
"pref_label": {
"en": "MRC-Laboratory for Molecular Cell Biology. University College London"
}
}
},
{
"id": "bf092a13-0810-4ee4-84c8-cc110d17522b",
"roles": [
"creator"
],
"person": {
"id": "8488b20a-343f-4424-bc0d-a7fb71e8057b",
"name": "Hannah S. Heil"
},
"organization": {
"id": "7588c99d-9528-4443-b0a7-cc86c3108582",
"pref_label": {
"en": "Optical Cell Biology, Instituto Gulbenkian de Ciência, Oeiras, Portugal"
}
}
},
{
"id": "e3f90646-7408-4e37-84fd-3ada91ad8a9c",
"roles": [
"creator"
],
"person": {
"id": "bd851af7-c41d-4c8e-bca9-53a9a609cef3",
"name": "Simao Coelho"
},
"organization": {
"id": "7588c99d-9528-4443-b0a7-cc86c3108582",
"pref_label": {
"en": "Optical Cell Biology, Instituto Gulbenkian de Ciência, Oeiras, Portugal"
}
}
},
{
"id": "f9e8c29d-4f42-49ac-99a6-fac792d8beb0",
"roles": [
"creator"
],
"person": {
"id": "c9aa2baf-7f73-4396-9918-f56c21dcd91c",
"name": "Jonathon Nixon-Abell"
},
"organization": {
"id": "9a676358-044e-4398-8a24-b19ed107488e",
"pref_label": {
"en": "Howard Hughes Medical Institute",
"fi": "Howard Hughes Medical Institute",
"sv": "Howard Hughes Medical Institute"
},
"external_identifier": "https://ror.org/006w34k90"
}
},
{
"id": "6c3a2572-dd0b-46fa-8d54-01b1dc8eb749",
"roles": [
"creator"
],
"person": {
"id": "2ed020ac-dad6-484b-8b1b-6cc795a9cd7e",
"name": "Angélique Jimenez"
},
"organization": {
"id": "087ead97-c5ae-4393-a7ca-2ade20fdc81f",
"pref_label": {
"en": "Aix Marseille Université, CNRS, INP UMR7051, NeuroCyto, Marseille, France"
}
}
},
{
"id": "d6badee5-2602-4240-a0f8-b5c0cda9a704",
"roles": [
"creator"
],
"person": {
"id": "27a3e2be-1fab-46db-88fa-6eb22030f71c",
"name": "Theresa Wiesner"
},
"organization": {
"id": "087ead97-c5ae-4393-a7ca-2ade20fdc81f",
"pref_label": {
"en": "Aix Marseille Université, CNRS, INP UMR7051, NeuroCyto, Marseille, France"
}
}
},
{
"id": "c00bf54a-c6f2-4778-8657-f56c4735b025",
"roles": [
"creator"
],
"person": {
"id": "b398140b-6d9b-45fc-af22-2576f92f94a4",
"name": "Damián Martínez"
},
"organization": {
"id": "7588c99d-9528-4443-b0a7-cc86c3108582",
"pref_label": {
"en": "Optical Cell Biology, Instituto Gulbenkian de Ciência, Oeiras, Portugal"
}
}
},
{
"id": "faa312cd-74b3-4773-aca3-722bec44fbfc",
"roles": [
"creator"
],
"person": {
"id": "65f0cba7-2222-42ef-b54e-7f8e9ff59f0f",
"name": "Tommaso Galgani"
},
"organization": {
"id": "7694ba17-cd28-4554-820c-a3e3cbf87170",
"pref_label": {
"en": "PSL Research University",
"fi": "PSL Research University",
"sv": "PSL Research University"
},
"external_identifier": "https://ror.org/013cjyk83"
}
},
{
"id": "ebf1f0c9-db76-4d7a-9f32-5911ea8e1f8a",
"roles": [
"creator"
],
"person": {
"id": "de2336a1-d640-41ee-9740-cd70c04b66f0",
"name": "Louise Régnier"
},
"organization": {
"id": "7694ba17-cd28-4554-820c-a3e3cbf87170",
"pref_label": {
"en": "PSL Research University",
"fi": "PSL Research University",
"sv": "PSL Research University"
},
"external_identifier": "https://ror.org/013cjyk83"
}
},
{
"id": "35dab06d-a1f6-4cac-b440-b1e6c7136747",
"roles": [
"creator"
],
"person": {
"id": "ea5d0e47-16c9-4f73-bed6-24f03aecdb31",
"name": "Aki Stubb"
},
"organization": {
"id": "6762f360-837b-429b-8e9d-bee40d971b41",
"pref_label": {
"en": "University of Turku and Åbo Akademi University"
}
}
},
{
"id": "6093503a-63e4-41d8-9075-dd13946af446",
"roles": [
"creator"
],
"person": {
"id": "1439f24b-d599-41d6-95f7-5c9772ece4dc",
"name": "Gautier Follain"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "ce3a033f-ddaf-465d-9a27-d8064f3eab51",
"roles": [
"creator"
],
"person": {
"id": "07909ced-d252-4c64-9c11-10bdfa5bf58d",
"name": "Samantha Webster"
},
"organization": {
"id": "8aa01ea8-baa3-403f-a2e6-893743ebc6ee",
"pref_label": {
"en": "University of New South Wales"
}
}
},
{
"id": "e89cbbf8-5b8d-46ab-9eb9-82e19d624a93",
"roles": [
"creator"
],
"person": {
"id": "dc4764bf-ccce-4767-b6f0-57c165ba2a5e",
"name": "Jesse Goyette"
},
"organization": {
"id": "8aa01ea8-baa3-403f-a2e6-893743ebc6ee",
"pref_label": {
"en": "University of New South Wales"
}
}
},
{
"id": "3ed53109-1757-4235-b3cb-22883e29a108",
"roles": [
"creator"
],
"person": {
"id": "bcb363ca-e487-4533-b1d2-4d098dfc41c6",
"name": "Aurelien Dauphin"
},
"organization": {
"id": "7694ba17-cd28-4554-820c-a3e3cbf87170",
"pref_label": {
"en": "PSL Research University",
"fi": "PSL Research University",
"sv": "PSL Research University"
},
"external_identifier": "https://ror.org/013cjyk83"
}
},
{
"id": "d68b5ce3-22a1-461b-af5e-abe52f606ade",
"roles": [
"creator"
],
"person": {
"id": "7225d540-e7e2-42d3-93f3-ee9d1c72631d",
"name": "Audrey Salles"
},
"organization": {
"id": "8ecf36de-91a6-4469-8897-4025b2e6082a",
"pref_label": {
"en": "Unit of Technology and Service Photonic BioImaging (UTechS PBI), C2RT, Institut Pasteur, Paris, France"
}
}
},
{
"id": "c2ba786c-1aae-4e77-b1f8-2845ff24e012",
"roles": [
"creator"
],
"person": {
"id": "c33b34f5-8ce4-496c-a2f9-fdbb691f9a30",
"name": "Siân Culley"
},
"organization": {
"id": "745005fc-d225-493d-ad59-3d8346ef7561",
"pref_label": {
"en": "MRC-Laboratory for Molecular Cell Biology. University College London"
}
}
},
{
"id": "1916e388-bafe-4bf9-be38-ff71d6d006d6",
"roles": [
"creator"
],
"person": {
"id": "681af81b-0bf1-4431-a0b6-c285e5661a12",
"name": "Guillaume Jacquemet",
"external_identifier": "https://orcid.org/0000-0002-9286-920X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "d6734d18-92f9-464f-ac6b-a7213b8f9ab0",
"roles": [
"creator"
],
"person": {
"id": "2f5755a2-9d3f-48c2-a4e3-8175de727b14",
"name": "Bassam Hajj"
},
"organization": {
"id": "7694ba17-cd28-4554-820c-a3e3cbf87170",
"pref_label": {
"en": "PSL Research University",
"fi": "PSL Research University",
"sv": "PSL Research University"
},
"external_identifier": "https://ror.org/013cjyk83"
}
},
{
"id": "54af4e9d-39e3-4212-a5b1-7b1840ebc26d",
"roles": [
"creator"
],
"person": {
"id": "4e477043-238c-461a-85f7-775153e90bdd",
"name": "Christophe Leterrier"
},
"organization": {
"id": "087ead97-c5ae-4393-a7ca-2ade20fdc81f",
"pref_label": {
"en": "Aix Marseille Université, CNRS, INP UMR7051, NeuroCyto, Marseille, France"
}
}
},
{
"id": "df39ba6f-67b1-4993-98d6-6f11be35a5dd",
"roles": [
"creator"
],
"person": {
"id": "a103ead9-a2ad-487b-9abc-85d08d7031bb",
"name": "Ricardo Henriques"
},
"organization": {
"id": "7588c99d-9528-4443-b0a7-cc86c3108582",
"pref_label": {
"en": "Optical Cell Biology, Instituto Gulbenkian de Ciência, Oeiras, Portugal"
}
}
},
{
"id": "56368d75-ab5c-4c45-a185-31bcd3ed14ec",
"roles": [
"publisher"
],
"organization": {
"id": "3baf5edd-453e-40a6-8e72-9bc75cf55eea",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "eSRRF supplementary data The eSRRF preprint is available here: https://doi.org/10.1101/2022.04.07.487490 Find the code and documentation here: https://github.com/HenriquesLab/NanoJ-eSRRF 1a: Set01a_DNA-PAINT_COS7-MT.tif DNA-PAINT of fixed COS-7 cells with indirect immunolabeling against tubulin Pixelsize: 160 nm Exposure time: 30 ms 50 000 frames 1b: Set01b_DNA-PAINT_COS7-MT_bin100.tif Dataset 1a with 100 frames binning to effectivly increase emitter density. eSRRF analysis parameters: M=5, R=0.5, S=1 all frames 2: Set02_HeLa_ffDronpa-MAP4.tif Live-cell TIRF imaging dataset of HeLa cells expressing ffDronpa-MAP4 Pixelsize: 156 nm Exposure time: 40 ms eSRRF analysis parameters: M=4 R=2 S=4 100 frames rolling analysis gap = 50 frames 3: Set03_COS7_PrSS-mEmerald-KDEL.tif Live-cell HiLO-TIRF of COS-7 cells expressing PrSS-mEmerald-KDEL marking the ER lumen. Pixelsize: 160 nm Exposure time: 5 ms eSRRF analysis parameters: M=5 R=2 S=1 100 fr rolling analysis gap = 10 frames 4a: Set4a_MFM_HeLa_TOM20.tif Live-cell MFM of HeLa cells expressing TOM20-HaloTag labeled with JF549 Pixelsize: 160 nm Exposure time: 20 ms eSRRF analysis parameters: M=4 R=2 S=1 100 fr rolling analysis gap = 25 frames 3D axial offset = 390 nm 4b: Set4b_MFM_beadcalibration.tif MFM calibration data with TetraSpeck beads immobilized on a coverslip, Pixelsize: 160 nm z-step 60 nm 5: Set5_LLS_Jurkat_ER.zip Lattice light sheet (LLS) data of the ER in Jurkat cells. The zip-folder contains single image stacks for each z-plane: 98 z-planes with 100 fr per plane at 10 ms exposure time 276 nm step size in the z-axis and 104 nm pixelsize. Each z-plane stack was process with eSRRF followed by deskewing with the LLSM plugin (https://monash-merc.github.io/llsm/docs/fiji/index.html) to recover a single 3D volume reconstruction. eSRRF analysis parameters: M=5 R=3.5 S=2 100 frames 6: Set6_TIRF_NeuronCulture_MT_Skylan-NS.tif TIRF imaging data of cultured neuron expressing Skylan-NS tagged tubulin. Pixelsize: 64.7 nm Exposure time: 100 ms eSRRF analysis parameters: M=4 R=5 S=2 200 fr 7: Set7_SDC_U2OS_Skylan-S-Actin.tif Live-cell SDC imaging data of U2OS cells transiently expressing SkylanS-ßActin over a time course of 12 hours by acquiring substacks of 50 frames at 10 min intervalls. Pixelsize: 247.6 nm Exposure time: 500ms eSRRF analysis parameters: M=5 R=2.5 S=1 50 frames"
},
"field_of_science": [
{
"id": "e9745cdf-d0e1-4797-8fee-3324e5b2bee2",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1182",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Biochemistry, cell and molecular biology",
"fi": "Biokemia, solu- ja molekyylibiologia",
"sv": "Biokemi, cell- och molekylärbiologi"
}
}
],
"infrastructure": [],
"issued": "2022-04-17",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.8325164",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "eSRRF - Supplementary Data"
},
"created": "2025-03-17T05:54:26Z",
"modified": "2025-06-30T06:40:16Z",
"dataset_versions": [
{
"id": "78073ea3-a704-4fb9-b9e5-8a1f12cc174d",
"title": {
"en": "eSRRF - Supplementary Data"
},
"persistent_identifier": "doi:10.5281/zenodo.8325164",
"state": "published",
"created": "2025-03-17T05:54:26Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "7d8e7de6-b659-4898-b38a-e50d39aaa06c",
"access_rights": {
"id": "8973f637-fc4b-44f3-a00b-15234da843fa",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "cc25c73c-7d8f-44d7-a7e5-2b9fa9ffb4e3",
"roles": [
"creator"
],
"person": {
"id": "f472a356-9feb-4dff-808f-4fb541d1cfc9",
"name": "Romain F. Laine"
},
"organization": {
"id": "de52ec75-01fe-4155-9ee7-437bcde5f027",
"pref_label": {
"en": "MRC-Laboratory for Molecular Cell Biology. University College London"
}
}
},
{
"id": "843f5648-1bd3-45c2-8ae7-4826216f8eec",
"roles": [
"creator"
],
"person": {
"id": "b900b1af-b2f0-4324-9c9b-172a26ccaf0c",
"name": "Hannah S. Heil"
},
"organization": {
"id": "b6b5f538-ef09-434b-a696-a406c67332ab",
"pref_label": {
"en": "Optical Cell Biology, Instituto Gulbenkian de Ciência, Oeiras, Portugal"
}
}
},
{
"id": "3a8a4dd6-d76c-47bb-bf55-39a4a5872da4",
"roles": [
"creator"
],
"person": {
"id": "3c074cea-bf9e-43ca-96fe-56c4de7acfa2",
"name": "Simao Coelho"
},
"organization": {
"id": "b6b5f538-ef09-434b-a696-a406c67332ab",
"pref_label": {
"en": "Optical Cell Biology, Instituto Gulbenkian de Ciência, Oeiras, Portugal"
}
}
},
{
"id": "292c61d2-3795-4b7e-a21f-db2bf706eef5",
"roles": [
"creator"
],
"person": {
"id": "e44d9c80-3ec9-4a58-a3da-df3aad6f85be",
"name": "Jonathon Nixon-Abell"
},
"organization": {
"id": "0838901e-1e32-4e5f-88c8-4ba1572d6195",
"pref_label": {
"en": "Howard Hughes Medical Institute",
"fi": "Howard Hughes Medical Institute",
"sv": "Howard Hughes Medical Institute"
},
"external_identifier": "https://ror.org/006w34k90"
}
},
{
"id": "25657a95-6c89-4b4c-b5a0-169c8ba0ae92",
"roles": [
"creator"
],
"person": {
"id": "bbe2cf78-74ce-492a-932c-e64b2790799d",
"name": "Angélique Jimenez"
},
"organization": {
"id": "69b18948-f9a5-4e11-8f7e-4d4ed3e805d2",
"pref_label": {
"en": "NeuroCyto, Aix Marseille Université, CNRS, INP UMR7051, Marseille, France"
}
}
},
{
"id": "89900782-ac90-4676-9215-a9bca3414da8",
"roles": [
"creator"
],
"person": {
"id": "da1720f2-5559-4162-9d2e-a100ab51d06f",
"name": "Tommaso Galgani"
},
"organization": {
"id": "11641738-8ba9-492c-8bff-4576de1941ab",
"pref_label": {
"en": "PSL Research University",
"fi": "PSL Research University",
"sv": "PSL Research University"
},
"external_identifier": "https://ror.org/013cjyk83"
}
},
{
"id": "b8b587a5-b4c5-4631-bf08-75b17585b355",
"roles": [
"creator"
],
"person": {
"id": "7b4b7f57-bc7f-4a4c-9eca-8cb6bdd7ecbe",
"name": "Aki Stubb"
},
"organization": {
"id": "e35b4712-6563-4425-8833-e668b97abf45",
"pref_label": {
"en": "University of Turku and Åbo Akademi University"
}
}
},
{
"id": "76b44488-6d52-4773-92b4-f15117cb3df4",
"roles": [
"creator"
],
"person": {
"id": "662a0756-250a-485e-91d3-f79e52a6bb20",
"name": "Gautier Follain"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "434ba20e-20a8-48a4-80cd-8aaf6f3a77d2",
"roles": [
"creator"
],
"person": {
"id": "2d844777-4eb8-4c0a-927f-255c81bf18c9",
"name": "Siân Culley"
},
"organization": {
"id": "de52ec75-01fe-4155-9ee7-437bcde5f027",
"pref_label": {
"en": "MRC-Laboratory for Molecular Cell Biology. University College London"
}
}
},
{
"id": "0dabaa70-578e-4ae7-928f-2600af69f629",
"roles": [
"creator"
],
"person": {
"id": "25f1fae2-e950-43fc-bdf0-52fda665ceb7",
"name": "Guillaume Jacquemet",
"external_identifier": "https://orcid.org/0000-0002-9286-920X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "f489992f-6970-4007-a8af-7d3c93a3501c",
"roles": [
"creator"
],
"person": {
"id": "aefc5622-f15d-4372-8ffb-ebaa0ac8b229",
"name": "Bassam Hajj"
},
"organization": {
"id": "11641738-8ba9-492c-8bff-4576de1941ab",
"pref_label": {
"en": "PSL Research University",
"fi": "PSL Research University",
"sv": "PSL Research University"
},
"external_identifier": "https://ror.org/013cjyk83"
}
},
{
"id": "0b461572-5e86-4ca6-b2a7-49e391e28096",
"roles": [
"creator"
],
"person": {
"id": "44986c8b-0839-4ce0-8d2a-5da3587b22bb",
"name": "Christophe Leterrier"
},
"organization": {
"id": "69b18948-f9a5-4e11-8f7e-4d4ed3e805d2",
"pref_label": {
"en": "NeuroCyto, Aix Marseille Université, CNRS, INP UMR7051, Marseille, France"
}
}
},
{
"id": "0d34933e-9669-489c-9252-02c35256b5bc",
"roles": [
"creator"
],
"person": {
"id": "5f3fa28a-4235-4cb7-8957-c2198cbbcfd0",
"name": "Ricardo Henriques"
},
"organization": {
"id": "b6b5f538-ef09-434b-a696-a406c67332ab",
"pref_label": {
"en": "Optical Cell Biology, Instituto Gulbenkian de Ciência, Oeiras, Portugal"
}
}
},
{
"id": "f28b3ffc-9fe3-4c8b-af7b-47d455a96a3c",
"roles": [
"publisher"
],
"organization": {
"id": "ceef7226-8228-4525-9df9-490ae9908a51",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "eSRRF supplementary data The eSRRF preprint is available here: https://doi.org/10.1101/2022.04.07.487490 Find the code and documentation here: https://github.com/HenriquesLab/NanoJ-eSRRF 1a: Set01a_DNA-PAINT_COS7-MT.tif DNA-PAINT of fixed COS-7 cells with indirect immunolabeling against tubulin Pixelsize: 160 nm Exposure time: 30 ms 50 000 frames 1b: Set01b_DNA-PAINT_COS7-MT_bin100.tif Dataset 1a with 100 frames binning to effectivly increase emitter density. eSRRF analysis parameters: M=5, R=0.5, S=1 all frames 2: Set02_HeLa_ffDronpa-MAP4.tif Live-cell TIRF imaging dataset of HeLa cells expressing ffDronpa-MAP4 Pixelsize: 156 nm Exposure time: 40 ms eSRRF analysis parameters: M=4 R=2 S=4 100 frames rolling analysis gap = 50 frames 3: Set03_COS7_PrSS-mEmerald-KDEL.tif Live-cell HiLO-TIRF of COS-7 cells expressing PrSS-mEmerald-KDEL marking the ER lumen. Pixelsize: 160 nm Exposure time: 5 ms eSRRF analysis parameters: M=5 R=2 S=1 100 fr rolling analysis gap = 10 frames 4a: Set4a_MFM_HeLa_TOM20.tif Live-cell MFM of HeLa cells expressing TOM20-HaloTag labeled with JF549 Pixelsize: 160 nm Exposure time: 20 ms eSRRF analysis parameters: M=4 R=2 S=1 100 fr rolling analysis gap = 25 frames 3D axial offset = 390 nm 4b: Set4b_MFM_beadcalibration.tif MFM calibration data with TetraSpeck beads immobilized on a coverslip, Pixelsize: 160 nm z-step 60 nm"
},
"field_of_science": [
{
"id": "e9745cdf-d0e1-4797-8fee-3324e5b2bee2",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1182",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Biochemistry, cell and molecular biology",
"fi": "Biokemia, solu- ja molekyylibiologia",
"sv": "Biokemi, cell- och molekylärbiologi"
}
}
],
"infrastructure": [],
"issued": "2022-04-17",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.6466473",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "eSRRF - Supplementary Data"
},
"created": "2025-03-17T05:54:23Z",
"modified": "2025-06-30T06:40:10Z",
"dataset_versions": [
{
"id": "7d8e7de6-b659-4898-b38a-e50d39aaa06c",
"title": {
"en": "eSRRF - Supplementary Data"
},
"persistent_identifier": "doi:10.5281/zenodo.6466473",
"state": "published",
"created": "2025-03-17T05:54:23Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "e7482449-7081-48ff-ae1c-42f6023cfd2c",
"access_rights": {
"id": "2b94f19b-b238-42fa-a693-5bae5d9a134d",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "9b21b689-3a19-435d-9dfd-d7aac706cf43",
"roles": [
"creator"
],
"person": {
"id": "b4aa8525-73d7-43af-b7c8-68752c8052e1",
"name": "Joanna Pylvänäinen",
"external_identifier": "https://orcid.org/0000-0002-3540-5150"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "664c8cf0-e65a-4afa-8723-6467692793b4",
"roles": [
"creator"
],
"person": {
"id": "326d6e2c-d991-4371-88d5-39bdca1677e5",
"name": "Romain F Laine"
},
"organization": {
"id": "17fdd74b-df47-456a-b49a-67f426581d01",
"pref_label": {
"en": "Micrographia Bio"
}
}
},
{
"id": "0f192938-85aa-4c80-9405-a6aef6deb590",
"roles": [
"creator"
],
"person": {
"id": "66855d06-56aa-46cd-9213-4426bd432dff",
"name": "Sujan Ghimire",
"external_identifier": "https://orcid.org/0000-0003-3660-4300"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "50f8d8f9-e8c7-49fa-be51-f4222cd6a61f",
"roles": [
"creator"
],
"person": {
"id": "b2389a8a-c021-4201-b411-c672e56df09b",
"name": "Gautier Follain"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "b69ee4f1-806c-44d9-bb49-2a1b97b058f5",
"roles": [
"creator"
],
"person": {
"id": "4695c43b-897a-4eee-aa85-54c7541d34d0",
"name": "Guillaume Jacquemet",
"external_identifier": "https://orcid.org/0000-0002-9286-920X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "3407c7e3-c991-4864-96e2-bf7e30021530",
"roles": [
"publisher"
],
"organization": {
"id": "533f7f44-f21b-49ae-9ccf-e3f99d6047a3",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Fast4DReg: Fast registration of 4D microscopy datasets Pylvänäinen J.W et al, 2023 Fast4DReg is a Fiji macro for drift correction in 3D video and is able to correct drift in all x-, y- and/or z-directions. Fast4DReg creates intensity projections along both axes and estimates their drift based on cross-correlation, and then translates the 3D video frame by frame. Additionally, Fast4DReg can be used for aligning multichannel 3D images which is particularly useful for instruments that suffer from a misalignment of channels. GitHub repository: https://github.com/guijacquemet/Fast4DReg Datasets are available in Zenodo: 1 Software archive 1.1 Fast4DReg scripts (5) 1.2 Helper scripts (2) 1.3 Documentation from GitHub 2 Dataset 1: Synthetic drift -datasets 2.1 Synthetic drift files (2) 2.2 Expected results (3) 3 Dataset 2: Noisy images -dataset 3.1 Noisy dataset files (12) 3.2 Average corrected apply output (12) 3.4 Maximum corrected apply output (12) 4 Dataset 3: HUVEC monolayer -dataset 4.1 HUVEC -dataset channel 1 original 4.2 Biological dataset HUVEC channel 1 Fast4DReg 4.3 Biological dataset HUVEC channel 1 C3DD 5 Dataset 4: Mouse lung slice -dataset 5.1 Mouse lung slice original 5.2 Mouse lung slice Fast4DReg 6 Dataset 5: Calibration slide -dataset 6.1 Calibration slide -dataset original 6.2 Calibration slide -dataset Fast4DReg 7 Dataset 6: Filopodia-dataset -dataset 7.1 Filopodia-dataset original 7.2 Filopodia-dataset Fast4DReg 8 Dataset 7: DCIS.com Filopodia -dataset 8.1 DCIS.com Filopodia -dataset original 8.2 DCIS.com Filopodia -dataset Fast4DReg 7 Videos 7.1 Video 1 7.2 Video 2 7.3 Video 3 7.4 Video 4 7.5 Video 5"
},
"field_of_science": [
{
"id": "e9745cdf-d0e1-4797-8fee-3324e5b2bee2",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta1182",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Biochemistry, cell and molecular biology",
"fi": "Biokemia, solu- ja molekyylibiologia",
"sv": "Biokemi, cell- och molekylärbiologi"
}
}
],
"infrastructure": [],
"issued": "2022-05-10",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.7514913",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "Fast4DRegistration"
},
"created": "2025-03-17T05:54:21Z",
"modified": "2025-06-30T06:40:04Z",
"dataset_versions": [
{
"id": "e7482449-7081-48ff-ae1c-42f6023cfd2c",
"title": {
"en": "Fast4DRegistration"
},
"persistent_identifier": "doi:10.5281/zenodo.7514913",
"state": "published",
"created": "2025-03-17T05:54:21Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "4f193fa6-ddb7-41cd-b204-fe6e4e429890",
"access_rights": {
"id": "4cab9da7-2e2f-47bc-818d-a699be1598a4",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "e5b77979-e89f-40b1-9a2a-95d52385615a",
"roles": [
"creator"
],
"person": {
"id": "05454712-6c0e-4e69-8c28-45af18607aeb",
"name": "Rajendra Bhadane",
"external_identifier": "https://orcid.org/0000-0002-7330-4801"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "b5abca7c-4da0-4376-a792-70e3f290e52f",
"roles": [
"creator"
],
"person": {
"id": "d21e0d69-6d45-4967-a194-f6b9922f1aa8",
"name": "Outi M. H. Salo-Ahen",
"external_identifier": "https://orcid.org/0000-0003-0725-126X"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "82190329-0d0c-4823-98c7-30058465c4e1",
"roles": [
"publisher"
],
"organization": {
"id": "a84bb73b-2b19-49df-ba47-87f8ba38173d",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Data file containing MD simulation data in Schrodinger maestro readable format and MMGBSA data in microsoft excel file"
},
"field_of_science": [
{
"id": "182af513-b646-4401-9363-b27914702936",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta317",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Pharmacy",
"fi": "Farmasia",
"sv": "Farmaci"
}
}
],
"infrastructure": [],
"issued": "2022-10-29",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.7263848",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "Data file containing MD simulation data"
},
"created": "2025-03-17T05:54:16Z",
"modified": "2025-06-30T06:39:55Z",
"dataset_versions": [
{
"id": "4f193fa6-ddb7-41cd-b204-fe6e4e429890",
"title": {
"en": "Data file containing MD simulation data"
},
"persistent_identifier": "doi:10.5281/zenodo.7263848",
"state": "published",
"created": "2025-03-17T05:54:16Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "316e1f43-0f3d-453c-950d-62fa66fb6d45",
"access_rights": {
"id": "51817c3c-0269-439a-921a-fd4e8049b765",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "f62ce4e4-35e7-4775-a96c-88ee4119ee56",
"roles": [
"creator"
],
"person": {
"id": "f4eceae1-b44b-4efc-b1bd-a95818d6eeb6",
"name": "Fredrik Jansson"
},
"organization": {
"id": "fdfe060c-0f78-4f46-a615-6213aeb76f07",
"pref_label": {
"en": "TU Delft"
}
}
},
{
"id": "62e77dc5-29d0-44b1-bebd-f867655c37cc",
"roles": [
"creator"
],
"person": {
"id": "0055b1a7-f65b-4f69-8413-8d38ede82885",
"name": "Martin Janssens"
},
"organization": {
"id": "dd1b9434-69f7-4ce4-9d4e-33705cecb043",
"pref_label": {
"en": "Wageningen University & Research"
}
}
},
{
"id": "9459e820-52d5-42c1-98a1-aab8ad4b9e06",
"roles": [
"creator"
],
"person": {
"id": "204d9d4d-d057-4401-8916-3216365246e7",
"name": "Johanna Grönqvist",
"external_identifier": "https://orcid.org/0000-0002-8754-2501"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "0821785b-92e9-40d2-824c-651b16facd19",
"roles": [
"creator"
],
"person": {
"id": "5e7ffb02-0739-4de7-be3c-05b5fcbae328",
"name": "Pier Siebesma"
},
"organization": {
"id": "fdfe060c-0f78-4f46-a615-6213aeb76f07",
"pref_label": {
"en": "TU Delft"
}
}
},
{
"id": "464c71a0-a802-4e0a-b67c-c4b3490cfae4",
"roles": [
"creator"
],
"person": {
"id": "0c59618a-adc0-47d4-97c9-04b7a7b9d4b8",
"name": "Franziska Glassmeier"
},
"organization": {
"id": "fdfe060c-0f78-4f46-a615-6213aeb76f07",
"pref_label": {
"en": "TU Delft"
}
}
},
{
"id": "0ddd8521-afb1-44a3-846f-53e7155d50f2",
"roles": [
"creator"
],
"person": {
"id": "a9e0fbdd-4304-440e-8a69-c194755d41b1",
"name": "Jisk Attema"
},
"organization": {
"id": "a3f11f04-11fd-41a7-aba2-053bfeb69761",
"pref_label": {
"en": "Netherlands eScience Center",
"fi": "Netherlands eScience Center",
"sv": "Netherlands eScience Center"
},
"external_identifier": "https://ror.org/00rbjv475"
}
},
{
"id": "32c2535a-cd84-4904-98f3-0caf78894032",
"roles": [
"creator"
],
"person": {
"id": "b517781f-b1f1-4737-a9ae-01dafb071265",
"name": "Victor Azizi"
},
"organization": {
"id": "a3f11f04-11fd-41a7-aba2-053bfeb69761",
"pref_label": {
"en": "Netherlands eScience Center",
"fi": "Netherlands eScience Center",
"sv": "Netherlands eScience Center"
},
"external_identifier": "https://ror.org/00rbjv475"
}
},
{
"id": "c93ffe4a-16d0-467c-abb5-bb5e23901a9f",
"roles": [
"creator"
],
"person": {
"id": "0e774c43-cae4-47a2-9244-88d5e24228df",
"name": "Masaki Satoh"
},
"organization": {
"id": "6f7e5959-34cb-4b5d-87f1-d7d87ef551c0",
"pref_label": {
"en": "University of Tokyo",
"fi": "University of Tokyo",
"sv": "University of Tokyo"
},
"external_identifier": "https://ror.org/057zh3y96"
}
},
{
"id": "075dfc8d-06f4-4689-a27d-9b4fabc27677",
"roles": [
"creator"
],
"person": {
"id": "4ea10574-d213-499c-bb01-f9407fc9d4ae",
"name": "Yousuke Sato"
},
"organization": {
"id": "bfda14be-8adb-4b9c-b9a7-adf24410aabb",
"pref_label": {
"en": "Hokkaido University"
}
}
},
{
"id": "5f430760-5384-4280-a548-337aff299553",
"roles": [
"creator"
],
"person": {
"id": "a3d1273e-732e-43f1-8ab7-1a2ec299480c",
"name": "Hauke Schulz"
},
"organization": {
"id": "fef2b50a-b30a-4526-8b8f-4781e56d0e92",
"pref_label": {
"en": "Max Planck Institute for Meteorology",
"fi": "Max Planck Institute for Meteorology",
"sv": "Max Planck Institute for Meteorology"
},
"external_identifier": "https://ror.org/05esem239"
}
},
{
"id": "87afee17-4f07-4a5e-8d30-8f6bceee39c8",
"roles": [
"creator"
],
"person": {
"id": "af6c89e1-af26-4b1f-8159-5ec7d6ba2262",
"name": "Tobias Kölling"
},
"organization": {
"id": "fef2b50a-b30a-4526-8b8f-4781e56d0e92",
"pref_label": {
"en": "Max Planck Institute for Meteorology",
"fi": "Max Planck Institute for Meteorology",
"sv": "Max Planck Institute for Meteorology"
},
"external_identifier": "https://ror.org/05esem239"
}
},
{
"id": "a7e337e0-d95e-4433-9899-0ca26e5a16f9",
"roles": [
"publisher"
],
"organization": {
"id": "a055d4ea-70e0-416c-a14c-6d30a0de4d3c",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Animations and graphs of the Cloud Botany ensemble of large eddy simulations The data is stored as a single zip file. When unpacked, the visualizations can be navigated in a web browser - start by opening index.html in the top directory. The simulations were performed with DALES, the Dutch Atmospheric Large Eddy Simulation, on Supercomputer Fugaku. For access to the data itself, see How To EUREC4A. Additional material: ERA5 data for the experiment region for the spring 2020 and JOANNE dropsonde data from the EUREC4A campaign, used to define the ranges for the Cloud Botany ensemble parameter space."
},
"field_of_science": [
{
"id": "7e12a692-26de-4e3c-b28c-64f8a32ef40a",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta114",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Physical sciences",
"fi": "Fysiikka",
"sv": "Fysik"
}
}
],
"infrastructure": [],
"issued": "2023-03-02",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.7692270",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "Cloud Botany LES ensemble visualizations"
},
"created": "2025-03-17T05:54:14Z",
"modified": "2025-06-30T06:39:49Z",
"dataset_versions": [
{
"id": "316e1f43-0f3d-453c-950d-62fa66fb6d45",
"title": {
"en": "Cloud Botany LES ensemble visualizations"
},
"persistent_identifier": "doi:10.5281/zenodo.7692270",
"state": "published",
"created": "2025-03-17T05:54:14Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "bd0bb991-3dd6-4625-b5ae-3c58f8918f53",
"access_rights": {
"id": "a63bba88-6f5a-4a44-ad0a-a45872ecc548",
"license": [
{
"id": "35b18e72-3819-4ec6-a1be-14624f29d968",
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"fi": "Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"
}
}
],
"access_type": {
"id": "d01ac02c-fc70-4c68-9434-8383cb693ff0",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/open",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Open",
"fi": "Avoin"
}
},
"restriction_grounds": []
},
"actors": [
{
"id": "7604364a-f569-40a6-83d8-e4933e3b605b",
"roles": [
"creator"
],
"person": {
"id": "2b3b508e-cad5-4eb9-8988-ea35ce86dffd",
"name": "Aicha Moussaid"
},
"organization": {
"id": "00371302-0ce6-405b-b2c4-4270f59ca8e9",
"pref_label": {
"en": "Åbo Akademi"
}
}
},
{
"id": "c9fa636e-8ee5-4eee-afcb-4e0f1a7392cc",
"roles": [
"creator"
],
"person": {
"id": "bab3beb3-6ffa-48bf-b29c-87bb1e2d8483",
"name": "Ricardo Chavez Tapia"
},
"organization": {
"id": "00371302-0ce6-405b-b2c4-4270f59ca8e9",
"pref_label": {
"en": "Åbo Akademi"
}
}
},
{
"id": "51d936e8-05c5-42e5-bcc2-07e7acd83039",
"roles": [
"creator"
],
"person": {
"id": "f70a24cc-7a6b-4eb7-bc35-f79ee73cb151",
"name": "Saad Waseem"
},
"organization": {
"id": "00371302-0ce6-405b-b2c4-4270f59ca8e9",
"pref_label": {
"en": "Åbo Akademi"
}
}
},
{
"id": "d2c83862-41a9-4b29-a133-e9c39c8ab3ed",
"roles": [
"creator"
],
"person": {
"id": "727a8d79-6843-4049-877b-b95542ced101",
"name": "S M Zahid Hasan"
},
"organization": {
"id": "00371302-0ce6-405b-b2c4-4270f59ca8e9",
"pref_label": {
"en": "Åbo Akademi"
}
}
},
{
"id": "1acb8671-90d3-4aee-a896-fd9e275b25c2",
"roles": [
"creator"
],
"person": {
"id": "d9adde8b-fdec-4cd8-b0e3-836661cd1fb5",
"name": "Sepinoud Azimi",
"external_identifier": "https://orcid.org/0000-0002-4739-9560"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "f46537f1-8373-417a-99b7-10e06e206293",
"roles": [
"creator"
],
"person": {
"id": "01877efd-5ad0-4cb6-bc04-b4446eb39376",
"name": "Sebastien Lafond",
"external_identifier": "https://orcid.org/0000-0002-5286-5343"
},
"organization": {
"id": "a4dc30ef-4be2-412a-a399-ebac8a37213e",
"pref_label": {
"en": "Åbo Akademi University",
"fi": "Åbo Akademi",
"sv": "Åbo Akademi",
"und": "Åbo Akademi"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01903",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
"id": "71a08fdb-038d-437c-97ec-2a471007c3ca",
"roles": [
"publisher"
],
"organization": {
"id": "850c51b8-0031-4304-b83c-c1463f339a30",
"pref_label": {
"en": "Zenodo",
"fi": "Zenodo",
"sv": "Zenodo"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-abo",
"description": {
"en": "Overview This repository contains a modified version of the existing, recently published dataset, Westermo. The initial dataset was gathered at Westermo Network Technologies AB, located in Västerås, Sweden. It encompasses over 1 Million verdicts obtained from testing embedded systems, collected over a span of more than 500 consecutive days of nightly testing. The dataset has been transformed and tailored specifically to cater to the research community, particularly for addressing challenges such as regression test selection, identification of flaky tests, and visualization of test results. The original dataset can be accessed through the reference provided in [1]. The Westermo dataset offers valuable historical information regarding the execution of test cases and their corresponding results. It serves as a valuable resource for evaluating and comparing different Test case Selection and Prioritization (TSP) techniques, enabling researchers to identify test cases that are more likely to fail during subsequent executions. Test cases in the dataset are characterized by attributes such as execution duration, previous last execution time, and the results of their recent executions. This dataset offers valuable historical information regarding the execution of test cases and their corresponding results. It serves as a valuable resource for evaluating and comparing different test case prioritization and selection techniques, enabling researchers to identify test cases that are more likely to fail during subsequent executions. Test cases in the dataset are characterized by attributes such as execution duration, previous last execution time, and the results of their recent executions. Table 1: Dataset Overview Test Cases 1855 CI Cycles 15,197 Verdict 1,036,818 Failed 5.03% However, the diversity and multitude of the features in the dataset can be irrelevant to some TSP approaches. This led us to perform a dataset conversion, where we customized Westermo to have the same features from Paint Control and IOF/ROL, two widely used datasets in Reinforcement Learning based TSP approaches. This conversion required the combination of multiple variables and generating the target ones. When it comes to generating the “LastResults” and “Cycle” values, further analysis was required and the data handling needed an in-depth understanding of how the nightly testing was conducted. This led us to investigate what a CI cycle is in their context, and we followed their definition of a session, stating that “a session is when we run a suite of tests on one test system with a certain software version and testware version”. When splitting the data according to the 9 different systems used, we were able to generate 9 different sub-sets that fit the CI context. File Format The compressed .zip file contains 9 files, each one corresponding to each of the 9 systems. The datasets are available in CSV format, with the semicolon (;) serving as the delimiter. The columns included are represented in the table below along with their descriptions. Table 2: Parameters of the dataset Column Name Content jid job id, together with the system name, the pair (jid, system) forms a unique key for a test session System Name of the test system Name Unique numeric identifier of the test case Verdict Test verdict of this test execution (Failed: 1, Passed: 0) Duration Approximated runtime of the test case Cycle The number of the CI cycle this test execution belongs to. Group The group test case belongs to. LastRun Previous last execution of the test case as date-time-string (Format: YYYY-MM-DD HH:ii ) Id Unique numeric identifier of the test execution CalcPrio Priority of the test case, calculated by the prioritization algorithm (output column, initially 0) result_array List of previous test results (Failed: 1, Passed: 0), ordered by ascending age. Lists are delimited by [ ]. The implications of this conversion are important as it can help the previous works to re-assess their approaches and have more data for training and testing, as well as opening a broader data spectrum for future researchers in this field to find ready-to-use, rich datasets, on which they could evaluate their approaches and contribute to the TSP community. This also addresses the limitations in the field discussed in the systematic literature review [2], stating that future research on TSP techniques should focus on collecting data from more recent subjects in a CI context with varying failure rates and larger execution times, as reproducible studies with appropriate datasets are needed to develop a usable body of knowledge regarding TSP over time. We believe that this conversion of the Westermo dataset is our contribution to alleviating the gap for the RL-based approaches. The original dataset can be found here."
},
"field_of_science": [
{
"id": "33d291b9-9b23-4192-b878-cffc210af1d3",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta113",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Computer and information sciences",
"fi": "Tietojenkäsittely ja informaatiotieteet",
"sv": "Data- och informationsvetenskap"
}
}
],
"infrastructure": [],
"issued": "2023-05-23",
"keyword": [],
"language": [],
"metadata_owner": {
"id": "dde6b62a-99e9-49c2-92bc-4a08ae3d9a09",
"organization": "service_abo"
},
"other_identifiers": [],
"persistent_identifier": "doi:10.5281/zenodo.7941024",
"pid_generated_by_fairdata": false,
"projects": [],
"provenance": [],
"relation": [],
"remote_resources": [],
"spatial": [],
"state": "published",
"temporal": [],
"theme": [],
"title": {
"en": "Enhanced Westermo dataset - Transformed and Modified for Test case Selection and Priorotization in the context of Continuous Integration and Reinforcement Learning."
},
"created": "2025-03-17T05:54:11Z",
"modified": "2025-06-30T06:39:45Z",
"dataset_versions": [
{
"id": "bd0bb991-3dd6-4625-b5ae-3c58f8918f53",
"title": {
"en": "Enhanced Westermo dataset - Transformed and Modified for Test case Selection and Priorotization in the context of Continuous Integration and Reinforcement Learning."
},
"persistent_identifier": "doi:10.5281/zenodo.7941024",
"state": "published",
"created": "2025-03-17T05:54:11Z",
"version": 1
}
],
"published_revision": 3,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
}
]
}
