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                "en": "The measurements were made at the Max Planck Institute for Sustainable Materials, Germany (then Max Planck Institute for Iron Research) in collaboration with the University of Oulu, Finland. The samples were then characterized at the KU Leuven and the University of Oulu. The objective was to study the suitability of hematite leach residue - a sidestream material - for reduction by hydrogen plasma smelting reduction (HPSR) and to observe the process with in-situ optical emission spectroscopy (OES). In the long-term, the goal is to develop an OES based analysis method for HPSR.\n\nThe description of the furnace, spectrometer and camera in addition to the process steps and characterization methods is included in the publication (10.1007/s11663-026-04099-9). \n\nThe data consists of OES spectra (.raw8, .raw8x [raw data], .txt [converted data]), characterization data (.xlsx, .bmp, .tif) and videos (.mov). Additionally, laboratory journals were made in Excel (.xlsx).\n\nNOTE: only metadata is published here. The data is available by request from authors."
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                        "title": {
                            "en": "Putaala, Pauna, Javed, Manzoor, Klapproth, Visuri, Malfliet, Kallio, Souza Filho, Lindgren, Raabe, Fabritius: Hematite Leach Residue as a Material for Hydrogen Plasma Smelting Reduction: A Laboratory-Scale Study on Chemical Composition and Optical Emissions",
                            "fi": "Putaala, Pauna, Javed, Manzoor, Klapproth, Visuri, Malfliet, Kallio, Souza Filho, Lindgren, Raabe, Fabritius: Hematite Leach Residue as a Material for Hydrogen Plasma Smelting Reduction: A Laboratory-Scale Study on Chemical Composition and Optical Emissions"
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                        "description": {
                            "en": "<jats:title>Abstract</jats:title>\n                  <jats:p>\n                    To cut down the intensive\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {CO}_2$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:msub>\n                            <mml:mtext>CO</mml:mtext>\n                            <mml:mn>2</mml:mn>\n                          </mml:msub>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    emissions of the steel industry, hydrogen plasma smelting reduction (HPSR) has been suggested as a new method for ore-based steelmaking. Previous research has shown the usability of optical emission spectroscopy (OES) to monitor the process in real time. This study focuses on the connection between the chemical composition of the HPSR-processed hematite leach residue—a sidestream material—and the OES data. A theoretical metallization degree of 87 pct was achieved after 10 minutes of processing with Ar-10-pct\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {H}_2$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:msub>\n                            <mml:mtext>H</mml:mtext>\n                            <mml:mn>2</mml:mn>\n                          </mml:msub>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    plasma, but because of evaporation, the actual amount of Fe obtained is lower. A wüstite phase and two spinel phases resembling hercynite (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {FeAl}_2\\text {O}_4$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:mrow>\n                            <mml:msub>\n                              <mml:mtext>FeAl</mml:mtext>\n                              <mml:mn>2</mml:mn>\n                            </mml:msub>\n                            <mml:msub>\n                              <mml:mtext>O</mml:mtext>\n                              <mml:mn>4</mml:mn>\n                            </mml:msub>\n                          </mml:mrow>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    ) and chromite (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {FeCr}_2\\text {O}_4$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:mrow>\n                            <mml:msub>\n                              <mml:mtext>FeCr</mml:mtext>\n                              <mml:mn>2</mml:mn>\n                            </mml:msub>\n                            <mml:msub>\n                              <mml:mtext>O</mml:mtext>\n                              <mml:mn>4</mml:mn>\n                            </mml:msub>\n                          </mml:mrow>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    ) were distinguished from the slag. The emission line intensities and, therefore, the evaporation of the elements from the slag mostly increased with time, showing the enrichment of these elements as Fe reduced. Aluminum evaporation increased most notably, indicating its potential in estimating the state of the reduction process. The results support the suitability of hematite leach residue for HPSR and show how the optical intensities are connected to changes in chemical composition, which can potentially be utilized when scaling up the process.\n                  </jats:p>",
                            "fi": "<jats:title>Abstract</jats:title>\n                  <jats:p>\n                    To cut down the intensive\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {CO}_2$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:msub>\n                            <mml:mtext>CO</mml:mtext>\n                            <mml:mn>2</mml:mn>\n                          </mml:msub>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    emissions of the steel industry, hydrogen plasma smelting reduction (HPSR) has been suggested as a new method for ore-based steelmaking. Previous research has shown the usability of optical emission spectroscopy (OES) to monitor the process in real time. This study focuses on the connection between the chemical composition of the HPSR-processed hematite leach residue—a sidestream material—and the OES data. A theoretical metallization degree of 87 pct was achieved after 10 minutes of processing with Ar-10-pct\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {H}_2$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:msub>\n                            <mml:mtext>H</mml:mtext>\n                            <mml:mn>2</mml:mn>\n                          </mml:msub>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    plasma, but because of evaporation, the actual amount of Fe obtained is lower. A wüstite phase and two spinel phases resembling hercynite (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {FeAl}_2\\text {O}_4$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:mrow>\n                            <mml:msub>\n                              <mml:mtext>FeAl</mml:mtext>\n                              <mml:mn>2</mml:mn>\n                            </mml:msub>\n                            <mml:msub>\n                              <mml:mtext>O</mml:mtext>\n                              <mml:mn>4</mml:mn>\n                            </mml:msub>\n                          </mml:mrow>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    ) and chromite (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {FeCr}_2\\text {O}_4$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:mrow>\n                            <mml:msub>\n                              <mml:mtext>FeCr</mml:mtext>\n                              <mml:mn>2</mml:mn>\n                            </mml:msub>\n                            <mml:msub>\n                              <mml:mtext>O</mml:mtext>\n                              <mml:mn>4</mml:mn>\n                            </mml:msub>\n                          </mml:mrow>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    ) were distinguished from the slag. The emission line intensities and, therefore, the evaporation of the elements from the slag mostly increased with time, showing the enrichment of these elements as Fe reduced. Aluminum evaporation increased most notably, indicating its potential in estimating the state of the reduction process. The results support the suitability of hematite leach residue for HPSR and show how the optical intensities are connected to changes in chemical composition, which can potentially be utilized when scaling up the process.\n                  </jats:p>",
                            "und": "<jats:title>Abstract</jats:title>\n                  <jats:p>\n                    To cut down the intensive\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {CO}_2$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:msub>\n                            <mml:mtext>CO</mml:mtext>\n                            <mml:mn>2</mml:mn>\n                          </mml:msub>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    emissions of the steel industry, hydrogen plasma smelting reduction (HPSR) has been suggested as a new method for ore-based steelmaking. Previous research has shown the usability of optical emission spectroscopy (OES) to monitor the process in real time. This study focuses on the connection between the chemical composition of the HPSR-processed hematite leach residue—a sidestream material—and the OES data. A theoretical metallization degree of 87 pct was achieved after 10 minutes of processing with Ar-10-pct\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {H}_2$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:msub>\n                            <mml:mtext>H</mml:mtext>\n                            <mml:mn>2</mml:mn>\n                          </mml:msub>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    plasma, but because of evaporation, the actual amount of Fe obtained is lower. A wüstite phase and two spinel phases resembling hercynite (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {FeAl}_2\\text {O}_4$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:mrow>\n                            <mml:msub>\n                              <mml:mtext>FeAl</mml:mtext>\n                              <mml:mn>2</mml:mn>\n                            </mml:msub>\n                            <mml:msub>\n                              <mml:mtext>O</mml:mtext>\n                              <mml:mn>4</mml:mn>\n                            </mml:msub>\n                          </mml:mrow>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    ) and chromite (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {FeCr}_2\\text {O}_4$$</jats:tex-math>\n                        <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n                          <mml:mrow>\n                            <mml:msub>\n                              <mml:mtext>FeCr</mml:mtext>\n                              <mml:mn>2</mml:mn>\n                            </mml:msub>\n                            <mml:msub>\n                              <mml:mtext>O</mml:mtext>\n                              <mml:mn>4</mml:mn>\n                            </mml:msub>\n                          </mml:mrow>\n                        </mml:math>\n                      </jats:alternatives>\n                    </jats:inline-formula>\n                    ) were distinguished from the slag. The emission line intensities and, therefore, the evaporation of the elements from the slag mostly increased with time, showing the enrichment of these elements as Fe reduced. Aluminum evaporation increased most notably, indicating its potential in estimating the state of the reduction process. The results support the suitability of hematite leach residue for HPSR and show how the optical intensities are connected to changes in chemical composition, which can potentially be utilized when scaling up the process.\n                  </jats:p>"
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            "bibliographic_citation": "Pekkala, Satu; Hellsten, Ella; Hekkala, Jenni; Ruiz Cerezo, Montse. (2026). LIPO study:The effcts of personalized exercise treatment on health\r\n. University of Jyväskylä.",
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                "en": "DESCRIPTION AND METADATA OF LIPO-STUDY\r\n\r\nLIPO-study concentrates on studying the effects of personalized exercise treatment on the health of individuals with obesity. The study is multidisciplinary and data contains a wealth of variables related to exercise physiology, exercise psychology, metabolism and health sciences overall. All variables have been collected at baseline as well as after 6 and 12 months of personalized exercise treatment.\r\n\r\nThe list of metadata variables can be found below.\r\n\r\nBLOOD CLINICAL VARIABLES & UNITS\r\ntotal cholesterol (mmol/L)\r\nhigh-density lipoprotein, HDL (mmol/L)\r\nlow-density lipoprotein, LDL (mmol/L)\r\ntriglycerides (mmol/L)\r\nhs-CRP (mg/L)\r\nglucose (mmol/L) \r\ninsulin (iU/L) \r\nHOMA-IR \r\n\r\nBODY COMPOSITION VARIABLES & UNITS\r\nHeight (cm)\r\nWeight (kg)\r\nBody mass index, BMI (kg/m2)\r\nWaist circumference (cm)\r\nVisceral fat area (cm2)\r\nFat-% \r\nBlood pressure (BP) systolic (mm Hg)\r\nBlood pressure (BP) diastolic (mm Hg)\r\nTotal fat mass (DXA) (kg)\r\nTotal lean mass (DXA) (kg)\r\nAndroid fat mass (DXA) (kg)\r\nGynoid fat mass (DXA) (kg)\r\n\r\nPHYSICAL ACTIVITY VARIABLES FROM QUESTIONNAIRES\r\nLongterm physical activity levels (12-month recall; FINRISK) \r\nReferences: (Borodulin K. Physical activity, fitness, abdominal obesity, and cardiovascular risk factors in Finnish men and women : The National FINRISKI Study [Internet]. 2006 [cited 2026 Feb 16]. Available from: https://www.julkari.fi/handle/11111/52918) (Borodulin K, Tolonen H, Jousilahti P, Jula A, Juolevi A, Koskinen S, et al. Cohort Profile: The National FINRISK Study. Int J Epidemiol. 2018 Jun 1;47(3):696–696i. doi:10.1093/ije/dyx239) \r\n-\tLeisure time physical activity: MET/h per week\r\nInternational Physical Activity Questionnaire Short Form\r\nReference: Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381–95. doi:10.1249/01.MSS.0000078924.61453.FB PubMed PMID: 12900694\r\n-\tIntensive physical activity/week\r\n-\tModerate physical activity/week\r\n-\tLight physical activity/ week\r\n\r\nPHYSICAL ACTIVITY AND SEDENTARY TIME VARIABLES FROM DEVICE-MEASURE (ACTIGRAPH)\r\n-\tAverage activity kcals per day\r\n-\tAverage time in sedentary per day (h)\r\n-\tAverage time in light per day (h)\r\n-\tAverage time in moderate per day (min)\r\n-\tAverage time in vigorous per day (min)\r\n-\tAverage time in very vigorous per day (min)\r\n-\tAverage MVPA (moderate to vigorous) per day (min)\r\n\r\nCARDIORESPIRATORY FITNESS\r\n-\tVO2max (ml/kg/min)\r\n\r\nEXERCISE MOTIVATION, BODY-SELF RELATIONS, AFFECTIVE EXERCISE EXPERIENCES –QUESTIONNAIRES\r\n-\tPALMS-21 (Ruiz MC, Hassandra M, Aypar E, Knittle K, Tolvanen A, Robazza C. Validation of the 21-item Physical Activity and Leisure Motivation Scale (PALMS) among Finnish late adolescents. Psychol Health. 2025 Mar 8;1–24. doi:10.1080/08870446.2025.2476625 PubMed PMID: 40055917)\r\n-\tMBSRQ (Brown TA, Cash TF, Mikulka PJ. Attitudinal body-image assessment: factor analysis of the Body-Self Relations Questionnaire. J Pers Assess. 1990;55(1–2):135–44. doi:10.1080/00223891.1990.9674053 PubMed PMID: 2231236)\r\n-\tAFFEXX (Ekkekakis P, Zenko Z, Vazou S. Do you find exercise pleasant or unpleasant? The Affective Exercise Experiences (AFFEXX) questionnaire. Psychology of Sport and Exercise. 2021 Jul 1;55:101930. doi:10.1016/j.psychsport.2021.101930)\r\n\r\nGUT MICROBIOTA COMPOSITION\r\nfastq files of the sequences\r\nCounts per sample\r\nrelative abundance per each sample\r\ndiversity measures (Shannon, Chao1, phylogenetic diversity, Bray Curtis distance)\r\n\r\nFOOD INTAKE FREQUENCY\r\nWhole grain products \r\nRefined grain products \r\nFats and oils \r\nLow fat milk products \r\nOther milk products \r\nVegetables. fruits. berries \r\nFish. white meat. eggs \r\nRed meat \r\nCandies and snacks \r\nCandies and snacks \r\nSugary beverages \r\nProcessed food and fast-food\r\n\r\nTemporal Coverage of data: 2023-2025."
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            "issued": "2026-01-01",
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                        "id": "484e859f-11b5-4163-a387-25c13fcaae29",
                        "url": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/research",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds",
                        "pref_label": {
                            "en": "Restriced access for research based on contract",
                            "fi": "Saatavuutta rajoitettu sopimuksen perusteella vain tutkimuskäyttöön",
                            "sv": "Begränsad åtkomst på bas av kontrakt ändast för forskningsändamål"
                        }
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                    {
                        "id": "8c6eebb2-d1f7-47e9-a041-b32a172745b4",
                        "url": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/education",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds",
                        "pref_label": {
                            "en": "Restricted access for teaching or studying based on contract",
                            "fi": "Saatavuutta rajoitettu sopimuksen perusteella opetukseen ja opiskeluun",
                            "sv": "Begränsad åtkomst på bas av kontrakt ändast för undervisning och studier"
                        }
                    }
                ]
            },
            "actors": [
                {
                    "id": "c672f4df-89e8-4eff-8ca3-75ac722831eb",
                    "roles": [
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                    "organization": {
                        "id": "688b751b-6e67-46d3-a61a-9f56a0734f41",
                        "pref_label": {
                            "fi": "Tilastokeskus. Haastattelu- ja tutkimuspalvelut"
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                    "id": "e807dcd5-4ad2-44e8-8f45-e0bbe33c98b2",
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                    "organization": {
                        "id": "9c3dd585-efba-4c8f-9a57-61e1eb9c5498",
                        "pref_label": {
                            "fi": "Työ- ja elinkeinoministeriö"
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                    "id": "59fdf684-556c-4e89-9cb5-e0b5670c67f6",
                    "roles": [
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                    "organization": {
                        "id": "b73103ca-2caf-48e3-ad47-4c94020a09df",
                        "pref_label": {
                            "en": "Statistics Finland. Interview and Survey Services"
                        }
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                    "roles": [
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                        "pref_label": {
                            "en": "Ministry of Economic Affairs and Employment"
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                    "roles": [
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                        "pref_label": {
                            "en": "Tietoarkisto",
                            "fi": "Tietoarkisto",
                            "sv": "Tietoarkisto",
                            "und": "Tietoarkisto"
                        },
                        "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122-6130",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization",
                        "parent": {
                            "id": "ea83ea7b-4d44-4d0b-b4ac-a8df3f00ae20",
                            "pref_label": {
                                "en": "Tampere University",
                                "fi": "Tampereen yliopisto",
                                "sv": "Tammerfors universitet",
                                "und": "Tampereen yliopisto"
                            },
                            "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122",
                            "in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
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            ],
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            "data_catalog": "urn:nbn:fi:att:data-catalog-harvest-fsd",
            "description": {
                "en": "The annual survey studied employee opinion on the quality of working life in Finland. Main themes included organisation of work, development opportunities and flexibility, learning and training at work, wages, workplace bullying, capacity to work, and changes in working life. Questions in the barometer have mainly remained the same each year. The questionnaire, target population and collection method of the survey were changed for the 2021 collection round. First, the respondents were asked about the number of people employed at their workplace and changes in the number of staff in the past 12 months. Satisfaction in the working environment was charted with questions about openness, encouragement, trust and equality in the workplace. Further questions covered measures taken to improve employees' capacity to work and safety of work environment. The respondents were asked whether their place of work supported its employees in learning and trying new things, and whether they had taken part in job-related training in the past 12 months and received a salary during that time. Participation in job-related training through different methods (e.g. with a mentor, self-study) in the past 12 months was surveyed. The respondents were also asked whether in the past 12 months they had developed their skills and competence so that they could work in a new role in the future, and whether they had received new tasks or responsibilities at their job that had required them to learn new things. The next set of questions focused on flexible working time arrangements at the workplace, pay systems, satisfaction with the pay level, and digital tools as part of work. Autonomy at work was surveyed by asking about influence over own work tasks and working pace, over the distribution of work in the workplace, and about working to a tight schedule. Remote work was investigated with questions on whether the respondents had worked remotely in the past 12 months and whether they felt they could influence how much remote work they did. The use of digital tools, AI-based tools, virtual workspaces, and social media services as part of work tasks was also charted. One set of questions investigated the employees' perceived workload, capacity to work, estimates of own mental and physical capacity to work, and sickness absences. Discrimination at work based on factors such as ethnic group, age, gender, sexual orientation, and health status was explored. Incidents of bullying, sexual harassment and violence at work were also surveyed. Additionally, the respondents' experiences of stress, mental exhaustion, inability to focus, togetherness and excitement related to work were surveyed. The respondents were asked how likely they thought it was that they would be temporarily laid off or made redundant. Views were probed on the respondents' likelihood of getting an equal job if they became unemployed and what they would do if they became unemployed (e.g. apply for a new job in the same field, apply for a new job in a different field, become self-employed, get a job abroad). The respondents were also asked about the non-competition agreements. Finally, the respondents' membership of trade unions and unemployment funds was surveyed. Background variables included, among others, the respondent's year of birth, age, gender, status in employment, employer type, industry of employment, type of contract, and weekly working hours.",
                "fi": "Työolobarometrit selvittävät suomalaisen työelämän laatua ja työolojen muutosta palkansaajien näkökulmasta. Työolobarometrien sisältö on pysynyt pääosin samanlaisena eri vuosina. Vuoden 2023 aineistossa kysyttiin aluksi vastaajien työpaikan henkilöstön määrästä sekä esitettiin väitteitä työilmapiiristä, työkyvyn ylläpitämisestä, avoimuudesta ja tasapuolisuudesta työpaikalla. Kysyttiin myös, vaikutetaanko työpaikalla osaamisen kehittämiseen ja työympäristön turvallisuuteen. Edelleen kartoitettiin työntekijöiden mahdollisuuksia kouluttautumiseen ja uuden oppimiseen. Seuraavaksi kysyttiin työajan joustoista, etätyöstä, palkkauksesta ja digitaalisista työvälineistä. Lisäksi selvitettiin työntekijän vaikutusmahdollisuuksia esimerkiksi työnjakoon, työtahtiin, työskentelypaikkaan tai työpaikan toiminnan kehittämiseen. Vastaajat kertoivat digitaalisten työvälineiden, esimerkiksi sosiaalisen median, erilaisten pikaviestinten ja tekoälyyn perustuvien välineiden käytöstä. Edelleen kartoitettiin, ilmeneekö vastaajan työpaikalla eriarvoista kohtelua, syrjintää tai henkistä väkivaltaa eri tahoilta liittyen esimerkiksi etniseen taustaan, sukupuoleen tai ikään. Lisäksi kysyttiin fyysisen väkivallan ja seksuaalisen häirinnän kohtaamisesta. Kartoitettiin myös työkykyyn ja työhön liittyviä tuntemuksia kuten stressiä, uupumusta, innostusta ja yhteisöllisyyttä. Edelleen käsiteltiin työn kuormittavuutta ja vastaajan oman työpaikan säilymisen varmuutta. Lopuksi kysyttiin kuulumisesta ammattiliittoon ja työttömyyskassaan sekä kilpailukieltosopimuksesta. Taustamuuttujina olivat muiden muassa sukupuoli, ikä, ammattiasema, työnantajatyyppi, työsuhteen pysyvyys ja kesto, työn koko- tai osa-aikaisuus, työpaikan toimiala ja työaika."
            },
            "field_of_science": [
                {
                    "id": "eb6d49d6-6bfc-4d8c-86b8-d9497924b295",
                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta5",
                    "in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
                    "pref_label": {
                        "en": "Social sciences",
                        "fi": "YHTEISKUNTATIETEET",
                        "sv": "Samhällsvetenskaper"
                    }
                }
            ],
            "infrastructure": [],
            "issued": "2024-10-08",
            "keyword": [
                "ammatillinen kehitys",
                "etätyö",
                "joustotyö",
                "palkansaajat",
                "palkat",
                "tulevaisuudenodotukset",
                "työelämä",
                "työhyvinvointi",
                "työkyky",
                "työn kuormittavuus",
                "työolot",
                "työpaikkaväkivalta",
                "career development",
                "employees",
                "employment",
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                "flexible working time",
                "hours of work",
                "occupational life",
                "job satisfaction",
                "workloads",
                "telework",
                "expectation",
                "Tasa-arvo, eriarvoisuus ja syrjäytyminen",
                "Työllisyys ja työllistyminen",
                "Työmarkkinasuhteet ja -järjestöt",
                "Työolot",
                "Työterveys",
                "Equality, inequality and social exclusion",
                "Employment",
                "Labour relations/conflict",
                "Working conditions",
                "Occupational health"
            ],
            "language": [
                {
                    "id": "c757dc29-552d-48b2-9efc-4d53b939a7ef",
                    "url": "http://lexvo.org/id/iso639-3/fin",
                    "in_scheme": "http://lexvo.org/id/",
                    "pref_label": {
                        "en": "Finnish",
                        "fi": "suomi",
                        "sv": "finska"
                    }
                }
            ],
            "metadata_owner": {
                "id": "0eabdf3f-948e-43bf-84ab-fe7b6163faaf",
                "organization": "service_fsd"
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                    "notation": "https://doi.org/10.60686/t-fsd3914",
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                        "url": "http://uri.suomi.fi/codelist/fairdata/identifier_type/code/doi",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/identifier_type",
                        "pref_label": {
                            "en": "Digital Object Identifier (DOI)"
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                    },
                    "metax_ids": []
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            ],
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            "pid_generated_by_fairdata": false,
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                    "title": {
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                    },
                    "description": {
                        "en": "Contains the date(s) when the data were collected."
                    },
                    "spatial": {
                        "geographic_name": "Suomi"
                    },
                    "temporal": {
                        "start_date": "2023-08-07",
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                    },
                    "is_associated_with": [],
                    "used_entity": [],
                    "variables": [
                        {
                            "id": "715a5ab7-1797-4720-b971-cef4233053dd",
                            "pref_label": {
                                "en": "Employees aged 18-64 whose regular working hours are at least 10 hours per week",
                                "fi": "18-64-vuotiaat palkansaajat, joiden säännöllinen työaika on vähintään 10 tuntia viikossa"
                            }
                        }
                    ]
                },
                {
                    "id": "09ac0b2d-5e87-46d7-bcf1-ccfdb7c25688",
                    "title": {
                        "en": "Production"
                    },
                    "description": {
                        "en": "Date when the data collection were produced (not distributed or archived)"
                    },
                    "temporal": {
                        "start_date": "2024-10-08",
                        "end_date": "2024-10-08"
                    },
                    "is_associated_with": [],
                    "used_entity": [],
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                },
                {
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                    "description": {
                        "en": "Contains the date(s) when the data were collected."
                    },
                    "spatial": {
                        "geographic_name": "Finland"
                    },
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                }
            ],
            "relation": [],
            "remote_resources": [],
            "spatial": [
                {
                    "geographic_name": "Suomi"
                },
                {
                    "geographic_name": "Finland"
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            ],
            "state": "published",
            "temporal": [
                {
                    "start_date": "2023-08-07",
                    "end_date": "2023-10-12"
                }
            ],
            "theme": [],
            "title": {
                "en": "Finnish Working Life Barometer 2023",
                "fi": "Työolobarometri 2023"
            },
            "created": "2024-10-09T01:19:59Z",
            "modified": "2026-06-17T01:10:29Z",
            "dataset_versions": [
                {
                    "id": "9f9f9906-93da-434d-9b51-bfacf0b3fdc6",
                    "title": {
                        "en": "Finnish Working Life Barometer 2023",
                        "fi": "Työolobarometri 2023"
                    },
                    "persistent_identifier": "urn:nbn:fi:fsd:T-FSD3914",
                    "state": "published",
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            ],
            "published_revision": 17,
            "version": 1,
            "api_version": 3,
            "metadata_repository": "Fairdata",
            "record_created": "2024-10-09T01:19:59Z",
            "record_modified": "2026-06-17T01:10:30Z"
        },
        {
            "id": "178a6fca-3ba0-4f8b-ac01-c7cb4c4976fd",
            "access_rights": {
                "id": "d3acecdf-37f4-4863-a16e-d35152cb8ed3",
                "license": [
                    {
                        "id": "03258502-6709-437e-9a06-5661857ea4bf",
                        "description": {
                            "en": "The dataset is (C) available only for research including master's theses.",
                            "fi": "Aineisto on käytettävissä (C) vain tutkimukseen ja ylempiin opinnäytteisiin."
                        },
                        "url": "http://uri.suomi.fi/codelist/fairdata/license/code/other-closed",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
                        "pref_label": {
                            "en": "Other (Not Open)",
                            "fi": "Muu (Ei avoin)"
                        }
                    }
                ],
                "access_type": {
                    "id": "729ffd9f-6d7a-40e9-aa97-a363a16fd113",
                    "url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/restricted",
                    "in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
                    "pref_label": {
                        "en": "Restricted use",
                        "fi": "Saatavuutta rajoitettu"
                    }
                },
                "restriction_grounds": [
                    {
                        "id": "484e859f-11b5-4163-a387-25c13fcaae29",
                        "url": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/research",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds",
                        "pref_label": {
                            "en": "Restriced access for research based on contract",
                            "fi": "Saatavuutta rajoitettu sopimuksen perusteella vain tutkimuskäyttöön",
                            "sv": "Begränsad åtkomst på bas av kontrakt ändast för forskningsändamål"
                        }
                    }
                ]
            },
            "actors": [
                {
                    "id": "84d83298-e5af-478b-8d39-8e60dfd2852f",
                    "roles": [
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                    ],
                    "person": {
                        "id": "f516b727-acce-4bfa-b181-8f10fb8014ba",
                        "name": "Virrankari, Lotta"
                    },
                    "organization": {
                        "id": "ae0f4b30-dd44-47fc-9301-991a5a360b32",
                        "pref_label": {
                            "en": "Valtiotieteellinen tiedekunta",
                            "fi": "Valtiotieteellinen tiedekunta",
                            "sv": "Valtiotieteellinen tiedekunta",
                            "und": "Valtiotieteellinen tiedekunta"
                        },
                        "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01901-H70",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization",
                        "parent": {
                            "id": "b65efb2c-fd48-4b76-9837-c6f05216d4bd",
                            "pref_label": {
                                "en": "University of Helsinki",
                                "fi": "Helsingin yliopisto",
                                "sv": "Helsingfors universitet",
                                "und": "Helsingin yliopisto"
                            },
                            "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01901",
                            "in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
                        }
                    }
                },
                {
                    "id": "042e20e2-c189-4ad4-9662-1b8b7b67be68",
                    "roles": [
                        "creator"
                    ],
                    "person": {
                        "id": "f516b727-acce-4bfa-b181-8f10fb8014ba",
                        "name": "Virrankari, Lotta"
                    },
                    "organization": {
                        "id": "59a68f32-6f3c-474d-af98-5f481c67c77b",
                        "pref_label": {
                            "en": "University of Helsinki. Faculty of Social Sciences"
                        }
                    }
                },
                {
                    "id": "d37a5b9a-96aa-4de7-8906-108065a929bc",
                    "roles": [
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                    ],
                    "organization": {
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                        "pref_label": {
                            "en": "Tietoarkisto",
                            "fi": "Tietoarkisto",
                            "sv": "Tietoarkisto",
                            "und": "Tietoarkisto"
                        },
                        "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122-6130",
                        "in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization",
                        "parent": {
                            "id": "ea83ea7b-4d44-4d0b-b4ac-a8df3f00ae20",
                            "pref_label": {
                                "en": "Tampere University",
                                "fi": "Tampereen yliopisto",
                                "sv": "Tammerfors universitet",
                                "und": "Tampereen yliopisto"
                            },
                            "url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122",
                            "in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
                        }
                    }
                }
            ],
            "cumulative_state": 0,
            "data_catalog": "urn:nbn:fi:att:data-catalog-harvest-fsd",
            "description": {
                "en": "This dataset studied notions that disabled or chronically ill people in Finland had concerning freedom. The study aimed to find out how a possible illness or disability affected feelings and experiences with regard to freedom in life. The data contain 11 transcribed interviews. The study was funded by the Sokra project of the National Institute for Health and Welfare (THL) to coordinate the promotion of social inclusion. In the data, the interviewees shared how their disability or illness affected their everyday lives. They were asked what sort of meanings the interviewees gave to freedom and whether they considered their lives to have freedom. The interviews also discussed, for instance, whether the disability or illness had set limitations or challenges on the participants' lives, future plans or dreams. In addition, experiences were discussed regarding, for instance, schools, health care services and other institutions, and receiving sufficient support and assistance. Additionally, topics covered services, peer support, feelings of being heard, and friends and relatives' attitudes toward getting a diagnosis. Background information included date, gender, age and the illness/disability in question (e.g. epilepsy, cerebral palsy). The data were organised into an HTML index at FSD. The dataset is only available in Finnish.",
                "fi": "Aineisto käsittelee somaattisesti pitkäaikaissairaiden ja fyysisesti vammaisten alle 30-vuotiaiden vapaudelle antamia merkityksiä. Aihetta käsitellään monesta näkökulmasta haastateltujen koko elämänkaaren ajalta sekä tulevaisuudennäkymien kautta. Tutkija on pyrkinyt selvittämään, miten mahdollinen sairaus tai vamma vaikuttaa ajatuksiin ja kokemukseen vapaudesta. Aineisto sisältää 11 haastattelua. Tutkimusta on tukenut Terveyden ja hyvinvoinnin laitoksen (THL) Sosiaalisen osallisuuden edistämisen koordinaatiohanke (Sokra). Haastatellut kuvailevat aineistossa sitä, millaisia oireita sairaus tai vamma aiheuttaa ja miten oireet näkyvät heidän arjessaan. Haastattelussa kysytään millaisia merkityksiä vastaajat antavat vapaudelle ja toteutuuko vapaus heidän elämässään. Haastatteluissa keskusteltiin muun muassa siitä, onko sairaus tai vamma asettanut rajoitteita tai haasteita elämälle, tulevaisuuden suunnitelmille tai haaveille. Lisäksi käsitellään sitä, millaisia kokemuksia haastateltavilla on esimerkiksi kouluista, terveydenhuollosta ja muista yhteiskunnan instituutioista sekä tarvittavan avun ja tuen saamisesta. Myös esimerkiksi palvelujen toimivuudesta, vertaistuen merkityksestä, kuulluksi tulemisen kokemuksesta ja lähipiirin suhtautumisesta diagnoosin saamiseen keskustellaan. Taustatietoina aineistossa on haastatteluaika, haastateltavan sukupuoli ja ikä sekä haastateltavan sairaus tai vamma, esimerkiksi epilepsia tai CP-vamma. Aineistosta on tehty html-versio, jonka hakemiston avulla haastatteluja on helppo selata."
            },
            "field_of_science": [
                {
                    "id": "eb6d49d6-6bfc-4d8c-86b8-d9497924b295",
                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta5",
                    "in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
                    "pref_label": {
                        "en": "Social sciences",
                        "fi": "YHTEISKUNTATIETEET",
                        "sv": "Samhällsvetenskaper"
                    }
                },
                {
                    "id": "752beaeb-cc05-444c-9b4b-c5a128a4cfe9",
                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta3",
                    "in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
                    "pref_label": {
                        "en": "Medical and health sciences",
                        "fi": "LÄÄKE- JA TERVEYSTIETEET",
                        "sv": "Medicin och hälsovetenskaper"
                    }
                }
            ],
            "infrastructure": [],
            "issued": "2019-08-14",
            "keyword": [
                "krooniset taudit",
                "fyysinen toimintakyky",
                "elämänhallinta",
                "elämänlaatu",
                "vapaus",
                "elämänodotukset",
                "yhteiskunnallinen asema",
                "vammat",
                "krooniset taudit",
                "chronic illness",
                "freedom",
                "injuries",
                "physical disabilities",
                "physical mobility",
                "quality of life",
                "Vähemmistöt",
                "Yleinen terveydentila ja hyvinvointi",
                "Tasa-arvo, eriarvoisuus ja syrjäytyminen",
                "Minorities",
                "General health and well-being",
                "Equality, inequality and social exclusion"
            ],
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                "en": "Contains measurement data of air temperature for the manuscript \"Real-time measurements of micro-climatic temperature and relative humidity in the Finnish cities of Tampere, Helsinki and Rovaniemi\" by Kühn et al. (in preparation) of 23 measurement stations in Tampere.\n\nTechnical Info:\n\nNB: Update on 8.5.2026: data file Tampere\\_202604.dat added.\n\nThe measurements were conducted at a height of 3 m in the locations listed in Tampere\\_Table1\\_New.txt during 07/2023-4/2026.\n\nEach measurement station consisted of three parts: a temperature and humidity sensor, a solar radiation shield, and an Internet of Things (IoT) device, which collected the measurement data and communicated them to a server via Long Range Wide Area Network (LoRaWAN). Temperature and relative humidity (RH) were measured by one integrated sensor, the Digital Matter I2C Temperature and Humidity Sensor [https://www.digitalmatter.com/wp-content/uploads/2020/09/I2C-Temperature-and-Humidity-Sensor-Datasheet.pdf] Within the sensor, the temperature and RH were measured using the Silicon Labs Si7021-A20 I2C Humidity and Temperature Sensor chip. The chip is factory calibrated and has maximum operating ranges of 0% to 100% RH and -40°C to +125°C temperature. The measurement accuracy for temperature is maximum ±0.4°C if the ambient temperature is between -10°C and 85°C. The measurement accuracy of the chip is maximum ±3% RH if the ambient RH is between 0% and 80%. The Temperature and Humidity Sensor was protected by a radiation shield to minimize the influence of direct sunlight and thermal radiation on the measurements. The radiation shield (height 11.5 cm, radius 14 cm) was made of white plastic and consisted of 9 ventilated plates stacked in a cylindrical design allowing for adequate airflow while shielding the sensor from external radiation.\n\nQuality check\n\nThe temperature data was quality checked using a multi-step procedure. First, values were screened based on long-term climatological daily minimum and maximum temperatures derived from 10 km × 10 km resolution gridded temperature data for the Tampere region (Aalto et al., 2016). Measurements falling clearly outside the climatological range were removed. Subsequently, remaining values were filtered based on statistical properties of the measurements, using median and median absolute deviation (MAD) over short time intervals to identify and remove outliers. A final threshold based on deviations from the local median was applied to exclude any remaining extreme values.\n\nThe Local Climate Zones (LCZs) in Table 1. have been defined for each measurement station following the Global LCZ data (Demuzere 2022a, Demuzere, et al. 2022b) based on the Local Climate Zone (LCZ) Classification system by Stewart and Oke (2012).\n\nTable Of Contents:   \nThe descriptions of the measurement stations are in Tampere\\_Table1\\_New.txt.   \nColumns   \n1. Station\\_code   \n2. Station\\_id   \n3. latitude   \n4. longitude   \n5. elevation above mean se alevel (m)   \n6. LCZ\\_global\\_point (LCZ at the grid point nearest to the measurement station)   \n7. LCZ\\_global\\_r200 (Mode of the LCZs within a 200-meter radius around the measurement station)   \n  \nThe data (hourly Temperature) of each the measurements are in ASCII (tabulator as separator) files Tampere\\_YEAR.dat, with Celsius as Unit and missing value -999.   \nColumns:   \n1. Station\\_code   \n2. Timestamp(YMDHH24) UTC   \n3. Mean temperature of the previous hour   \n4. Minimum temperature of the previous hour   \n5. Maximum temperature of the previous hour   \n6. Standard deviation of the temperature measurements during the previous hour   \n7. Number of measurements during the previous hour (usually 12)   \n  \nReferences:\n\nAalto, J., Pirinen, P., & Jylhä, K. (2016). New gridded daily climatology of Finland: Permutation-based uncertainty estimates and temporal trends in climate. Journal of Geophysical Research: Atmospheres, 121(8), 3807–3823. https://doi.org/10.1002/2015JD024651 Stewart ID, Oke TR. Local Climate Zones for Urban Temperature Studies. Bull Am Meteorol Soc. 2012;93(12):1879-1900. doi:10.1175/BAMS-D-11-00019.1   \nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022a): A global map of local climate zones to support earth system modelling and urban-scale environmental science, Earth Syst. Sci. Data, 14, 3835-3873, https://doi.org/10.5194/essd-14-3835-2022.   \nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022b): Global map of Local Climate Zones. Zenodo. https://doi.org/10.5281/zenodo.6364593."
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                "en": "This dataset contains experimental measurements of cloud condensation activation and gas adsorption for selected insoluble metal oxide and mineral powder samples, together with associated model output files. The data support the manuscript by Laaksonen et al., *\"Cloud condensation experiments probe nanoscale effects on water vapor adsorption by insoluble particles.\"*\n\nThe investigated metal oxides are: Al2O3 (sample #1 and #2), Fe2O3, SnO2, TiO2, NiO, PbO, and CuO.\n\nThe investigated minerals are: K-feldspar, kaolinite, kaolin, and illite.\n\nThe cloud condensation data provide critical supersaturation values as a function of particle size. The adsorption data include water vapor adsorption isotherms and nitrogen adsorption isotherms measured for the same materials. In addition, the dataset includes model output files: the f(X,N,B) correction factor as a function of number of adsorbed water monolayers for selected particle sizes and FHH B parameter values; a comparison table of experimental and modelled critical supersaturation values with their ratios across the full diameter range for all 12 substances; the critical supersaturation as a function of number of adsorbed layers at activation for four FHH correction methods; and the number of adsorbed layers at activation as a function of particle diameter for all 12 substances.\n\n**CONTENTS**\n\n**1. Cloud condensation activation measurements**\n\nFolder: **CCN\\_activation\\_data.zip**\n\nThis dataset contains cloud condensation nuclei activation data reporting the critical supersaturation (S\\*) at which 50% of particles activate as cloud droplets as a function of dry particle diameter.\n\nEach file corresponds to a specific material  `*_AAC_50.txt` and contains:\n\n* **Dp**: Dry particle diameter (nm)\n* **dDp**: Uncertainty in dry particle diameter (nm)\n* **S\\*:** Critical supersaturation at 50% activation. (P/P0 -1)\n* **dS:** Measurement uncertainty in S\\*\n\n**2. Water and Nitrogen adsorption isotherm measurements**\n\nFolders: **H2O isotherms.zip** and **N2\\_isotherms.zip**\n\nThe dataset includes nitrogen adsorption isotherms (adsorption branch, `*_N2_N_ad.dat`) and water adsorption isotherms (desorption branch, `*_H2O_N_de.dat`). Each file contains a header with references to the original experimental filenames and data in two columns:\n\n* **P/P0**: Saturation ratio\n* **N\\_ads  (N\\_des)**: Number of adsorbed water or nitrogen monolayers in the adsorption (desorption) branch\n\n**3. MODEL OUTPUT AND COMPARISON DATA**\n\n**3.1 SSw\\_comparison\\_table.csv**\n\nData for Figures 1 and 3a.\n\nCritical supersaturation (SSw, %) for all 12 substances across a particle diameter grid of 40-1000 nm.\n\nContains experimental SSw values with uncertainties, model estimates from three FHH-based parameterisations (original, size-corrected, and size+fractal-corrected), the Kelvin-equation reference curve, and the ratios of modelled to experimental SSw. Rows where no experimental measurement exists at a given diameter contain model values only.\n\n* **Substance**: sample identifier\n* **Dp (nm)**: particle diameter (nm)\n* **dDp (nm)**: uncertainty in particle diameter (nm)\n* **SSw\\_exp**: experimental critical supersaturation (%)\n* **dSSw\\_exp**: uncertainty in experimental SSw (%)\n* **SSw\\_kelvin**: Kelvin-equation SSw (%) — pure water limit\n* **Ssw\\_FHH**: modelled SSw (%) — FHH original\n* **SSw\\_FHH(D)**: modelled SSw (%) — FHH with size correction\n* **SSw\\_FHH(D,f)**: modelled SSw (%) — FHH with size and fractal correction\n* **ratio\\_SSw\\_FHH**: SSw\\_FHH / SSw\\_exp\n* **ratio\\_SSw\\_FHH(D)**: SSw\\_FHH(D) / SSw\\_exp\n* **ratio\\_SSw\\_FHH(D,f)**: SSw\\_FHH(D,f) / SSw\\_exp\n* **data\\_type**: \"experimental + model\" or \"model only\"\n\n**3.2 fXNB\\_data.csv**\n\nData for Figure 2.\n\nTheoretical f(X,N,B) correction factor as a function of number of adsorbed water monolayers N (range 1-2000), computed for three particle diameters (10, 100, 1000 nm) and three FHH B parameter values (1.01, 2, 3).\n\n* **Diameter\\_nm** : dry particle diameter (nm)\n* **B\\_value**: FHH B parameter\n* **N\\_mono**: number of adsorbed water monolayers\n* **fXNB**: f(X,N,B) correction factor (dimensionless, 0-1)\n\n**3.3 SSw\\_vs\\_N.csv**\n\nData for Figure 3b.\n\nCritical supersaturation SSw (%) as a function of number of adsorbed water layers N at activation, for four correction methods applied to K-Feldspar (diameter = 300 nm, A = 3.46, B = 2.14, B\\_corr = 1.06). N range: 10-10000.\n\n* **Method**: correction method (Uncorrected, Size\\_corrected, Fractal\\_corrected, Size\\_and\\_fractal\\_corrected)\n* **N**: number of adsorbed water monolayers at activation\n* **SSw**: critical supersaturation (%)\n\n**3.4 N\\_vs\\_diameter.csv**\n\nData for Figure 3c.\n\nNumber of adsorbed water layers N at CCN activation as a function of particle diameter, for all 12 metal oxide and mineral substances. Diameter range: 40-1000 nm. N range: 10-2000.\n\n* **Substance**: sample identifier\n* **Diameter\\_nm**: particle diameter (nm)\n* **N**: number of adsorbed water layers at critical supersaturation\n\n**NOTES**\n\n- *NA* indicates missing or not applicable values (e.g., experimental columns for model-only rows, ratio values where no experimental reference exists, or model values that did not converge).  \n- File headers within each CSV provide additional metadata, including column descriptions."
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