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"fi": "Tutkimuksessa selvitettiin lasten ja nuorten ihmisoikeustietämystä ja osallistumista sekä sitä, missä määrin lapsia kuullaan ja missä he haluavat tulla kuulluiksi. Kysely kartoitti tietämystä lasten oikeuksista ja ihmisoikeuksista yleisesti, yläkouluikäisten osallisuutta arkipäivän päätöksenteossa, oppilaiden mielipiteitä mediasta, informaatiosta ja osallisuudesta sekä lasten ja nuorten vaikutuskanavien ja -keinojen käyttöä. Tutkimus on osa UNICEFin yhteispohjoismaista lasten ihmisoikeustietämyksen ja osallistumisen tutkimusta, joka pyrki kehittämään lapsen osallisuutta omassa arjessaan. Tämä aineisto sisältää suomalaisten oppilaiden vastaukset. Kaikkien Pohjoismaiden vastaajat sisältävä aineisto on myös arkistoitu Yhteiskuntatieteelliseen tietoarkistoon (ks. FSD2547 Lasten ihmisoikeustietämys ja osallistuminen 2009-2010: Pohjoismaat). Aluksi vastaajilta tiedusteltiin ikää ja sukupuolta ja vanhempien koulutustaustaa. Vastaajan ja vanhempien sukujuuria selvitettiin kyselemällä, olivatko vastaaja ja tämän vanhemmat syntyneet Suomessa vai ulkomailla. Seuraavaksi selvitettiin vastaajan käsitystä lasten oikeuksista. Vastaajilta tiedusteltiin, kuinka paljon he tiesivät lasten oikeuksista, missä he olivat kuulleet niistä ja keitä oikeudet heidän mielestään koskivat. Vastaajille esitettiin erilaisia väittämiä ihmisoikeuksista, joiden kanssa he olivat samaa tai eri mieltä viisiportaisella asteikolla. Osallisuutta arkipäivän päätöksenteossa kartoitettiin kyselemällä kuinka paljon vastaajat kykenivät vaikuttamaan erilaisiin kotia, koulua ja vapaa-aikaa koskeviin asioihin, ja kuinka tärkeinä he näitä asioita pitivät. Lisäksi vastaajat kirjasivat kolme tärkeintä asiaa, joissa nuoria tulisi vastaajan mielestä kuulla. Samoin he kirjasivat kolme tärkeintä asiaa, jotka tulisi tehdä ilmastonmuutoksen torjumiseksi ja luonnonsuojelemiseksi. Vastaajien osallistumista kartoitettiin lisäksi kyselemällä, olivatko he olleet mukana esimerkiksi nuorisovaltuustoissa, järjestötoiminnassa tai poliittisissa puolueissa. Lopuksi kysyttiin lasten ja nuorten vaikutuskanavista ja keinoista. Vastaajat ottivat kantaa erilaisten vaikutuskeinojen ja -kanavien kuten oppilaskunnan, mielenosoitusten, blogien ja järjestöjen tärkeyteen ja toimivuuteen. Lisäksi vastaajat arvioivat elämänlaatuaan kymmenportaisella asteikolla ja ottivat kantaa siihen, ajattelivatko he vaikuttamisesta eri tavalla vastattuaan kyselyyn. Taustamuuttujina olivat mm. ikä, sukupuoli ja vanhempien koulutustausta.",
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},
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"fi": "Aineisto on tulossa saataville Kielipankin latauspalvelussa.\n\nTämä korpus on ladattava versio aineistosta Kansalliskirjaston sanoma- ja aikakauslehtikokoelman ruotsinkielinen osakorpus versio 2, Korp. Aineisto sisältää Kansalliskirjaston kokoamia ruotsinkielisiä sanoma- ja aikakauslehtiä vuosilta 1771-2021. Aineisto on saatavilla tekstitiedostoina VRT-muodossa."
},
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"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
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}
}
],
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{
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"pref_label": {
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"fi": "ruotsi",
"sv": "svenska"
}
}
],
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"fi": "Kansalliskirjaston sanoma- ja aikakauslehtikokoelman ruotsinkielinen osakorpus, versio 2, VRT"
},
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},
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"en": "This directory contains supplementary plots and information needed to reproduce the manuscript plots.\n\nAll outputs can be found within the `example-models` directory.\n\n## Figure 3\n\nScenario:\n\n- 14 km of exhumation at a constant rate over 50 Myr (0.28 mm/yr)\n\nOutput subdirectory: `00-figure-3`\n\nCommand: `tc1d-cli --ero-option1 14.0 --obs-age-file data/example_data.csv --invert-tt-plot`\n\n*Assumes the file `example_data.csv` is in the `data` subdirectory where the command is run*.\n\n## Example 1: Exhumation of an emplaced pluton\n\nScenario:\n\n- Pluton emplaced at 1000 °C at start of model at 30 Ma\n\n - Pluton thickness is 2 km at depths of 8–10 km\n - Emplaced over 1 Myr\n\n- No erosion from 30–10 Ma\n- Constant erosion at rate of 0.9 mm/yr from 10–0 Ma\n\nOutput subdirectory: `01-pluton-emplacement-and-exhumation`\n\nCommand: `tc1d-cli --time 30.0 --ero-type 2 --ero-option1 0.0 --ero-option2 20.0 --ero-option3 9.0 --init-moho-depth 44.0 --intrusion-temperature 1000.0 --intrusion-start-time 0.0 --intrusion-duration 1.0 --intrusion-thickness 2.0 --intrusion-base-depth 10.0 --invert-tt-plot --t-plots 0.1 0.5 1.0 5.0 10.0 15.0 20.0 25.0 30.0`\n\n## Example 2: Age evolution during exhumation\n\nScenario:\n\n- 10-km-thick thrust sheet instantaneously emplaced at 30 Ma\n- 15 km of exhumation from 30-0 Ma\n- Ages calculated for particles reaching the surface every 1 Myr\n\nOutput subdirectory: `02-thrust-sheet-erosion-past-ages`\n\nCommand: `tc1d-cli --ero-type 4 --ero-option1 10.0 --ero-option2 5.0 --ero-option3 20.0 --ero-option4 20.0 --past-age-increment 1.0 --t-plots 20.0 25.0 30.0 35.0 40.0 45.0 50.0`\n\n## Example 3: Multi-stage exhumation histories and age data comparison\n\nScenario:\n\n- Complex exhumation scenario over 1.9 Gyr (see manuscript text for details)\n- Model details read from input file (`input_file.yaml`)\n\nOutput subdirectory: `03-Ault-2015-cratons`\n\nCommand: `tc1d-cli --input-file input_file.yaml`\n\n## Example 4: Inversion of a natural thermochronological dataset\n\nInversion scenario:\n\n- Two stage erosion with inversion to find erosion magnitude of each stage and timing of transition\n\n - Total amount of erosion in stage 1: 0.01-25 km\n - Timing of transition from erosion stage 1 to 2: 0.01-30 Ma\n - Total amount of erosion in stage 2: 0.01-25 km\n\nOutput subdirectory: `04-Falkowski-inversion`\n\nCommand: `tc1d-cli --input-file mcmc.yaml`\n\nForward model scenario:\n\n- Forward model example using the best-fit inversion results\n- Two stage erosion with inversion to find erosion magnitude of each stage and timing of transition\n\n - Total amount of erosion in stage 1: 11.591902352798801 km\n - Timing of transition from erosion stage 1 to 2: 27.633313474396186 Ma\n - Total amount of erosion in stage 2: 2.983407383624335 km\n\nOutput subdirectory: `04-Falkowski-inversion`\n\nCommand: `tc1d-cli --input-file forward.yaml`"
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"en": "Whipp, Gérard, Laaksonen, Kellett: Technical note: T<sub>c</sub>1D - a 1D thermal and thermochronometer age prediction model",
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"en": "Thermochronological data are commonly used to study the activity of geological processes over timescales of millions of years. Ages produced by thermochronological measurements, however, are non-unique and do not directly record rates of processes, which has led to the development of a variety of software tools for interpreting age data in the context of geological processes. Most of the widely used software packages focus on determining thermal histories, which are easy to use but do not provide direct quantitative estimates of geological process rates. In contrast, more sophisticated and complex thermo-kinematic modeling software can link ages to process rates but may require greater computational expertise and resources for use. Here we introduce Tc1D, a 1D thermal and thermochronometer age prediction software package designed to provide users with the opportunity to explore geological processes from thermochronology data in a computationally efficient and accessible framework. The software is open source and written in the Python programming language, and provides functionality for forward and inverse modeling of thermochronometer data, visualization using built-in plotting, a variety of options for defining exhumation histories, and more. This work presents an overview of how Tc1D was designed, several illustrative examples of how the code can be applied, instructions for how to get started using Tc1D, and some plans for future development.",
"fi": "<jats:p>Abstract. Thermochronological data are commonly used to study the activity of geological processes over timescales of millions of years. Ages produced by thermochronological measurements, however, are non-unique and do not directly record rates of processes, which has led to the development of a variety of software tools for interpreting age data in the context of geological processes. Most of the widely used software packages focus on determining thermal histories, which are easy to use but do not provide direct quantitative estimates of geological process rates. In contrast, more sophisticated and complex thermo-kinematic modeling software can link ages to process rates but may require greater computational expertise and resources for use. Here we introduce Tc1D, a 1D thermal and thermochronometer age prediction software package designed to provide users with the opportunity to explore geological processes from thermochronology data in a computationally efficient and accessible framework. The software is open source and written in the Python programming language, and provides functionality for forward and inverse modeling of thermochronometer data, visualization using built-in plotting, a variety of options for defining exhumation histories, and more. This work presents an overview of how Tc1D was designed, several illustrative examples of how the code can be applied, instructions for how to get started using Tc1D, and some plans for future development.</jats:p>",
"und": "<jats:p>Abstract. Thermochronological data are commonly used to study the activity of geological processes over timescales of millions of years. Ages produced by thermochronological measurements, however, are non-unique and do not directly record rates of processes, which has led to the development of a variety of software tools for interpreting age data in the context of geological processes. Most of the widely used software packages focus on determining thermal histories, which are easy to use but do not provide direct quantitative estimates of geological process rates. In contrast, more sophisticated and complex thermo-kinematic modeling software can link ages to process rates but may require greater computational expertise and resources for use. Here we introduce Tc1D, a 1D thermal and thermochronometer age prediction software package designed to provide users with the opportunity to explore geological processes from thermochronology data in a computationally efficient and accessible framework. The software is open source and written in the Python programming language, and provides functionality for forward and inverse modeling of thermochronometer data, visualization using built-in plotting, a variety of options for defining exhumation histories, and more. This work presents an overview of how Tc1D was designed, several illustrative examples of how the code can be applied, instructions for how to get started using Tc1D, and some plans for future development.</jats:p>"
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"en": "1. Policy document data on political views and discourses describing the societal system in which forest-related actors are embedded\r\nThe aim of this sub-study (WP1) of the BuSuT project was to develop an understanding of the societal system in which forest-related actors and their stakeholders at all levels are embedded. In particular, we were interested in the key views and discourses that could be identified across policy documents. We identified a total of 10 forest- focused (with the main focus on forests, e.g. the National Forest Strategy) or forest-related (associated with forests, e.g. the Finnish Bioeconomy Strategy) policy documents for analysis. The data (i.e., the list of documents) are available in Halonen, M., Näyhä, A., & Kuhmonen, I. (2022). Regional sustainability transition through forest-based bioeconomy? Development actors' perspectives on related policies, power and justice. Forest Policy and Economics, 142, 102775. The full dataset is not publicly available.\r\n\r\n2. Newspaper article data on key actors, their discourses, and mutual relations in the Finnish printed media discussion on forests, their utilization, and related future views\r\nThe main goal of this sub-study (WP1) of the BuSuT project was to identify key actors, their discourses, and their mutual relations in the Finnish printed media discussion on forests, their utilization, and related future views. The data consist of newspaper articles collected from the Finnish newspapers Helsingin Sanomat (HS) and Maaseudun Tulevaisuus (MT), both of which have nationwide distribution. Constructed week sampling was selected as the sampling method, as it considers the cyclic systemic variations in newspaper content . The sample consists of three constructed weeks per year, resulting in a total of nine constructed weeks for the study period (2019-2021). 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The list of articles includes issue identification codes (the newspaper identifier HS/MT and a consecutive number), dates of publication, journalists, and titles, thus providing readers with sufficient information to locate the original articles. The full dataset is not publicly available.\r\n\r\n3. Semi-structured interview data on value co-creation, participatory foresight, and related mechanisms among forest-related stakeholders\r\nThe main goal of this sub-study (WP2) of the BuSuT project was to study value co-creation, participatory foresight, and related mechanisms and practices among forest-related stakeholders. A total of 70 individual, semi-structured interviews constitute the data for this study. The selection of interviewee groups for the semi-structured interviews was based on a previous media analysis conducted at the beginning of the research project. 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Backcasting workshop data on future visions and pathways for forests, forest utilization, and the future of the forest-based sector\r\nThe main goal of this sub-study (WP3) of the BuSuT project was to study participants’ future visions for forests, their utilization, and the future of the forest-based sector, as well as the pathways and strategies through which these visions could be achieved. The data were gathered through a series of participatory workshops applying a backcasting approach. Three workshop groups were organized face-to-face, and two workshops were organized online. The workshop groups comprised a total of 28 forest-related stakeholders. The workshops were recorded, professionally transcribed, and subsequently pseudonymized. In addition to pseudonymized transcripts, the dataset includes photographs documenting participants’ future visions and pathways created during the workshops, as well as written documentation prepared by the researchers based on these materials. The dataset is not publicly available.",
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The full dataset is not publicly available.\r\n\r\n2. Newspaper article data on key actors, their discourses, and mutual relations in the Finnish printed media discussion on forests, their utilization, and related future views\r\nThe main goal of this sub-study (WP1) of the BuSuT project was to identify key actors, their discourses, and their mutual relations in the Finnish printed media discussion on forests, their utilization, and related future views. The data consist of newspaper articles collected from the Finnish newspapers Helsingin Sanomat (HS) and Maaseudun Tulevaisuus (MT), both of which have nationwide distribution. Constructed week sampling was selected as the sampling method, as it considers the cyclic systemic variations in newspaper content . The sample consists of three constructed weeks per year, resulting in a total of nine constructed weeks for the study period (2019-2021). 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