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                "en": "# Overview\n\nThis dataset includes supplementary files for the article titled \"Simplified modeling of the impact of lithospheric-scale geological processes on thermal histories and low-temperature thermochronometers\" by D. Kellett and D. Whipp in the journal Geochronology. The contents of the README.md file for the supplement have been copied below.\n\n# Supplementary README for manuscript \"Simplified modeling of the lithosphere-scale impact of geological processes on thermal histories and low-temperature thermochronometers\", by Kellett and Whipp.\n\nThis folder contains \n\n1. A log file containing the models inputs and outputs for this work\n2. Supplementary plots for models described in the manuscript\n3. Supplementary results and plots referenced in the manuscript\n4. A copy of the description of the Tc1D erosion models from the online documentation\n\nModel types include:\n\n- `EE` - `Erosional exhumation models\n- `SB` - `Sedimentary burial and erosional exhumation models\n- `TF` - `Thrust faulting models\n- `EF` - `Extensional faulting models\n- `DL` - `Lithospheric delamination models\n\n## 1. Model logs\n\nThe model log lists all model parameters and select model outputs (calculated heat flow, Moho temperatures, predicted ages, etc.). The model log file can be found in the `Model log file` directory:\n\n- `tc1d_model_output_log.csv`\n\n## 2. Supplementary plots for models described in the manuscript\n\nTypes of plots include:\n\n- Temperature versus depth plots for tracked particles (e.g., `temperature-depth-DL.png`)\n- Transient geotherm and density versus depth plots (e.g., `T-rho-hist-DL1-fixed-moho.png`)\n\nModels with a fixed Moho depth contain `fixed-moho` in the filename, while those with a moving Moho contain `moving-moho`.\n\nContents of the plot folders are given below:\n\n### EE models additional outputs\n\n- `Temperature-depth-EE.png`\n- `T-rho-hist-EE1-fixed-moho.png`\n- `T-rho-hist-EE1-moving-moho.png`\n- `T-rho-hist-EE2-fixed-moho.png`\n- `T-rho-hist-EE2-moving-moho.png`\n- `T-rho-hist-EE3-fixed-moho.png`\n- `T-rho-hist-EE3-moving-moho.png`\n- `T-rho-hist-EE4-fixed-moho.png`\n- `T-rho-hist-EE4-moving-moho.png`\n- `T-rho-hist-EE5-fixed-moho.png`\n- `T-rho-hist-EE5-moving-moho.png`\n- `T-rho-hist-EE6-fixed-moho.png`\n- `T-rho-hist-EE6-moving-moho.png`\n- `T-rho-hist-EE7-fixed-moho.png`\n- `T-rho-hist-EE7-moving-moho.png`\n- `T-rho-hist-EE8-fixed-moho.png`\n- `T-rho-hist-EE8-moving-moho.png`\n- `T-rho-hist-EE9-fixed-moho.png`\n- `T-rho-hist-EE9-moving-moho.png`\n- `T-rho-hist-EE10-fixed-moho.png`\n- `T-rho-hist-EE10-moving-moho.png`\n- `T-rho-hist-EE11-fixed-moho.png`\n- `T-rho-hist-EE11-moving-moho.png`\n- `T-rho-hist-EE12-fixed-moho.png`\n- `T-rho-hist-EE12-moving-moho.png`\n\n### SB models additional outputs\n\n*Note: Ages are not shown on the temperature-depth plot due to the more complex heating and cooling history*\n\n- `Temperature-depth-SB.png`\n- `T-rho-hist-SB1-moving-moho.png`\n- `T-rho-hist-SB2-moving-moho.png`\n- `T-rho-hist-SB3-moving-moho.png`\n- `T-rho-hist-SB4-moving-moho.png`\n- `T-rho-hist-SB5-moving-moho.png`\n- `T-rho-hist-SB6-moving-moho.png`\n\n### TF models additional outputs\n\n- `Temperature-depth-TF.png`\n- `T-rho-hist-TF1-fixed-moho.png`\n- `T-rho-hist-TF1-moving-moho.png`\n- `T-rho-hist-TF2-fixed-moho.png`\n- `T-rho-hist-TF2-moving-moho.png`\n- `T-rho-hist-TF3-fixed-moho.png`\n- `T-rho-hist-TF3-moving-moho.png`\n- `T-rho-hist-TF4-fixed-moho.png`\n- `T-rho-hist-TF4-moving-moho.png`\n\n### EF models additional outputs\n\n- `Temperature-depth-EF.png`\n- `T-rho-hist-EF1-fixed-moho.png`\n- `T-rho-hist-EF1-moving-moho.png`\n- `T-rho-hist-EF2-fixed-moho.png`\n- `T-rho-hist-EF2-moving-moho.png`\n- `T-rho-hist-EF3-fixed-moho.png`\n- `T-rho-hist-EF3-moving-moho.png`\n- `T-rho-hist-EF4-fixed-moho.png`\n- `T-rho-hist-EF4-moving-moho.png`\n\n### DL models additional outputs\n\n- `Temperature-depth-DL.png`\n- `T-rho-hist-DL1-fixed-moho.png`\n- `T-rho-hist-DL1-moving-moho.png`\n- `T-rho-hist-DL2-fixed-moho.png`\n- `T-rho-hist-DL2-moving-moho.png`\n- `T-rho-hist-DL3-fixed-moho.png`\n- `T-rho-hist-DL3-moving-moho.png`\n- `T-rho-hist-DL4-fixed-moho.png`\n- `T-rho-hist-DL4-moving-moho.png`\n- `T-rho-hist-EE2-15km-fixed-moho.png`\n- `T-rho-hist-EE2-15km-moving-moho.png`\n- `T-rho-hist-EE9-15km-fixed-moho.png`\n- `T-rho-hist-EE9-15km-moving-moho.png`\n- `T-rho-hist-EE10-15km-fixed-moho.png`\n- `T-rho-hist-EE10-15km-moving-moho.png`\n- `T-rho-hist-EE11-15km-fixed-moho.png`\n- `T-rho-hist-EE11-15km-moving-moho.png`\n\n## 3. Supplementary results and plots referenced in the manuscript\n\nAll plots for these supplementary results can be found in the `additional-plots` directory.\n\n### Younger tectonic models\n\nExamples of potential applications of Tc1D to younger tectonic settings are given below along with locations of related plot files.\n\n#### Southern Alps, New Zealand\n\nThis example is based on a general version of the reconstructed exhumation history of the Southern Alps, New Zealand presented in Lang et al. (2020). It is defined based on the following parameters:\n\n- Duration: 25 Myr\n- Step-function erosion history\n\n    - 2.0 mm/yr from 25-21 Ma\n    - 0 mm/yr from 21-7 Ma\n    - 2.4 mm/yr from 7 Ma to present\n\n- Initial Moho depth: 25 km\n- Fixed Moho depth and uplift only in the crust\n\nThe related plots are shown below.\n\n![Geotherm plot for the Southern Alps model](additional-plots/new-zealand/temperature-history-NZ.png)\n**Figure S1**. Calculated geotherms for the Southern Alps model.\n\n![Thermal, depth, and exhumation history for the Southern Alps model](additional-plots/new-zealand/thermal-history-NZ.png)\n**Figure S2**. Thermal, depth, and exhumation history for the Southern Alps model.\n\nPlot files in the `new-zealand` subdirectory:\n\n- `temperature-history-NZ.png`\n- `thermal-history-NZ.png`\n\nCommand used to produce these plots:\n\n```bash\ntc1d-cli --time 25.0 --ero-type 2 --ero-option1 8.0 --ero-option2 4.0 \n--ero-option3 0.0 --ero-option4 18.0 --ero-option5 16.8 --init-moho-depth 25.0\n--crustal-uplift --fixed-moho --invert-tt-plot --plot-depth-history\n--t-plots 5 10 15 20 25\n```\n\n#### Andean plateau delamination with an erosional response\n\nThis example is based on a general version of the uplift history of the Andean Plateau described in Garzione et al. (2017). It is defined based on the following parameters:\n\n- Duration: 30 Myr\n- Delamination at 7.5 Ma\n- Exponentially decaying erosion model\n\n    - 8 km of erosional exhumation\n    - 10 Myr exponential decay constant\n    - Onset of exhumation at 7.5 Ma\n\n- Initial Moho depth: 43 km\n\nThe related plots are shown below.\n\n![Surface elevation and exhumation history for the Andean Plateau model](additional-plots/andean-plateau/elev-hist-SA.png)\n**Figure S3**. Calculated isostatic elevation and exhumation history for the Andean Plateau model.\n\n![Geotherm plot for the Andean Plateau model](additional-plots/andean-plateau/temperature-history-SA.png)\n**Figure S4**. Calculated geotherms for the Andean Plateau model.\n\n![Thermal, depth, and exhumation history for the Andean Plateau model](additional-plots/andean-plateau/thermal-history-SA.png)\n**Figure S5**. Thermal, depth, and exhumation history for the Andean Plateau model.\n\nPlot files in the `andean-plateau` subdirectory:\n\n- `elev-hist-SA.png`\n- `temperature-history-SA.png`\n- `thermal-history-SA.png`\n\nCommand used to produce these plots:\n\n```bash\ntc1d-cli --ero-type 3 --ero-option1 8.0 --ero-option2 10.0\n--ero-option3 22.5 --removal-fraction 1.0 --removal-start-time 22.5\n--time 30.0 --invert-tt-plot --plot-elevation-history\n--t-plots 22.5 25 27.5 30.0 --init-moho-depth 43.0\n```\n\n### Models with a negative mantle velocity\n\nCrustal uplift at active margins is often accompanied by subduction of the lithospheric mantle. This effect can partially compensate for advective heat transport in the crust owing to erosional exhumation (e.g., Batt and Braun, 1997). To demonstrate the magnitude of this effect, we present two example models below where a negative mantle velocity is applied to depths beneath the Moho. Both are based on FM model variants presented in the manuscript.\n\n#### Model EE2 (FM) with a -0.2 mm/yr mantle velocity\n\nThis model is the same as the FM variant of model EE2, which features the following parameters:\n\n- Duration: 50 Myr\n- Erosion model: 10 km of exhumation at a constant rate (0.2 mm/yr)\n- Volumetric heat production: 1 uW m^-3\n\nSelect plots are shown below.\n\n![Geotherm plot for model EE2 with a negative mantle velocity](additional-plots/negative-mantle-velocity/temperature_history-EE2-fixed-moho-mantle-velocity.png)\n**Figure S6**. Calculated geotherms for model EE2 with a negative mantle velocity.\n\n![Thermal, depth, and exhumation history for model EE2 with a negative mantle velocity](additional-plots/negative-mantle-velocity/thermal_history-EE2-fixed-moho-mantle-velocity.png)\n**Figure S7**. Thermal, depth, and exhumation history for model EE2 with a negative mantle velocity.\n \nRelated plot files in the `negative-mantle-velocity` subdirectory:\n\n- `past_ages-EE2-fixed-moho-mantle-velocity.png`\n- `temperature_history-EE2-fixed-moho-mantle-velocity.png`\n- `thermal_history-EE2-fixed-moho-mantle-velocity.png`\n\nCommand used to produce these plots:\n\n```bash\ntc1d-cli --init-moho-depth 35.0 --fixed-moho --crustal-uplift\n--ero-option1 10.0 --explicit --dt 500.0 --heat-prod-crust 1.0\n--past-age-increment 1.0 --write-past-ages --plot-depth-history\n--invert-tt-plot --mantle-velocity -0.2 --save-plots\n```\n\n#### Model EE5 (FM) with a -0.4 mm/yr mantle velocity\n\nThis model is the same as the FM variant of model EE5, which features the following parameters:\n\n- Duration: 50 Myr\n- Erosion model: 20 km of exhumation at a constant rate (0.4 mm/yr)\n- Volumetric heat production: 2 uW m^-3\n\nSelect plots are shown below.\n\n![Geotherm plot for model EE5 with a negative mantle velocity](additional-plots/negative-mantle-velocity/temperature_history-EE5-fixed-moho-mantle-velocity.png)\n**Figure S8**. Calculated geotherms for model EE5 with a negative mantle velocity.\n\n![Thermal, depth, and exhumation history for model EE5 with a negative mantle velocity](additional-plots/negative-mantle-velocity/thermal_history-EE5-fixed-moho-mantle-velocity.png)\n**Figure S9**. Thermal, depth, and exhumation history for model EE5 with a negative mantle velocity.\n \nRelated plot files in the `negative-mantle-velocity` subdirectory:\n\n- `past_ages-EE5-fixed-moho-mantle-velocity.png`\n- `temperature_history-EE5-fixed-moho-mantle-velocity.png`\n- `thermal_history-EE5-fixed-moho-mantle-velocity.png`\n\nCommand used to produce these plots:\n\n```bash\ntc1d-cli --init-moho-depth 35.0 --fixed-moho --crustal-uplift\n--ero-option1 20.0 --explicit --dt 500.0 --heat-prod-crust 2.0\n--past-age-increment 1.0 --write-past-ages --plot-depth-history\n--invert-tt-plot --mantle-velocity -0.4 --save-plots\n```\n\n#### Predicted age comparison\n\n| Model                     | AHe age (Ma)  | AFT age (Ma)  | ZHe age (Ma)  | ZFT age (Ma)  |\n|:------------------------- |:-------------:|:-------------:|:-------------:|:-------------:|\n| EE2, FM                   | 11.63         | 22.93         | 30.36         | 48.18         |\n| EE2, FM, mantle velocity  | 12.04         | 23.55         | 30.88         | 48.23         |\n| EE5, FM                   |  4.03         |  7.51         |  9.22         | 19.06         |\n| EE5, FM, mantle velocity  |  4.19         |  7.81         |  9.62         | 19.75         |\n\nIncluding a negative mantle velocity results in ages that are older by 3.0% on average, and up to 4.3% older for the cases considered here.\n\n### Example apatite fission-track length distribution\n\nTc1D also calcuates predicted apatite fission-track length distributions. Below is an example calculated for model EE1-fixed-moho.\n\n![Apatite fission-track length distribution for model EE1-fixed-moho](additional-plots/apatite-ft-length-distribution/apatite-ft-length-dist-EE1-fixed-moho.png)\n**Figure S10**. Apatite fission-track length distribution for model EE1-fixed-moho.\n\nRelated plot file in the `apatite-ft-length-distribution` subdirectory:\n\n- apatite-ft-length-dist-EE1-fixed-moho.png\n\n## 4. A copy of the description of the Tc1D erosion models from the online documentation\n\nA static copy of the Tc1D documentation can be found in the base directory for these supplementary materials. The file name is `Tc1D-erosion-models.pdf`.\n\n## References\n\nBatt, G. E., & Braun, J. (1997). On the thermomechanical evolution of compressional orogens. *Geophysical Journal International*, 128(2), 364-382.\n\nGarzione, C. N., McQuarrie, N., Perez, N. D., Ehlers, T. A., Beck, S. L., Kar, N., Eichelberger, N., Chapman, A. D., Ward, K. M., Ducea, M. N., Lease, R. O., Poulsen, C. J., Wagner, L. S., Saylor, J. E., Zandt, G., & Horton, B. K. (2017). Tectonic Evolution of the Central Andean Plateau and Implications for the Growth of Plateaus. *Annual Review of Earth and Planetary Sciences*, 45(1), 529-559. https://doi.org/10.1146/annurev-earth-063016-020612\n\nLang, K. A., Glotzbach, C., Ring, U., Kamp, P. J. J., & Ehlers, T. A. (2020). Linking orogeny and orography in the Southern Alps of New Zealand: New observations from detrital fission-track thermochronology of the Waiho-1 borehole. *Earth and Planetary Science Letters*, 552, 116586. https://doi.org/10.1016/j.epsl.2020.116586"
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                            "en": "Kellett, Whipp: Simplified modeling of the impact of lithospheric-scale geological processes on thermal histories and low-temperature thermochronometers",
                            "fi": "Kellett, Whipp: Simplified modeling of the impact of lithospheric-scale geological processes on thermal histories and low-temperature thermochronometers"
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                            "en": "<jats:p>Abstract. Many geological processes influence or perturb the thermal state of the lithosphere. This presents a challenge for relating thermal history data modeled from thermochronometers such as apatite and zircon fission-track and (U-Th)/He dating to geological evolution, a primary goal of many thermochronology studies. Here we address this challenge by exploring the thermal and thermochronological evolution of tracked rock parcels in 1D models that simulate key lithospheric geological processes, including erosional exhumation, sedimentary burial and exhumation, dip-slip faulting and delamination of the lithospheric mantle. We compare results from common depth history scenarios in which the Moho either experiences exhumation/burial or remains at a fixed depth balanced by crustal flux and erosion. Results show that Moho depth changes have a significant effect on thermal histories and thermochronometers, though this is not often considered in thermal history studies. Further, our results show that the recorded response of thermal histories/thermochronometers in the upper crust and geological processes that disrupt the crustal thermal field may be disassociated in time, because of the time and length scales of different heat transfer mechanisms. For example, a delamination event produces younger thermochronometer ages than an identical crustal exhumation history without delamination, but younger ages do not record the timing of delamination.</jats:p>",
                            "fi": "<jats:p>Abstract. Many geological processes influence or perturb the thermal state of the lithosphere. This presents a challenge for relating thermal history data modeled from thermochronometers such as apatite and zircon fission-track and (U-Th)/He dating to geological evolution, a primary goal of many thermochronology studies. Here we address this challenge by exploring the thermal and thermochronological evolution of tracked rock parcels in 1D models that simulate key lithospheric geological processes, including erosional exhumation, sedimentary burial and exhumation, dip-slip faulting and delamination of the lithospheric mantle. We compare results from common depth history scenarios in which the Moho either experiences exhumation/burial or remains at a fixed depth balanced by crustal flux and erosion. Results show that Moho depth changes have a significant effect on thermal histories and thermochronometers, though this is not often considered in thermal history studies. Further, our results show that the recorded response of thermal histories/thermochronometers in the upper crust and geological processes that disrupt the crustal thermal field may be disassociated in time, because of the time and length scales of different heat transfer mechanisms. For example, a delamination event produces younger thermochronometer ages than an identical crustal exhumation history without delamination, but younger ages do not record the timing of delamination.</jats:p>",
                            "und": "<jats:p>Abstract. Many geological processes influence or perturb the thermal state of the lithosphere. This presents a challenge for relating thermal history data modeled from thermochronometers such as apatite and zircon fission-track and (U-Th)/He dating to geological evolution, a primary goal of many thermochronology studies. Here we address this challenge by exploring the thermal and thermochronological evolution of tracked rock parcels in 1D models that simulate key lithospheric geological processes, including erosional exhumation, sedimentary burial and exhumation, dip-slip faulting and delamination of the lithospheric mantle. We compare results from common depth history scenarios in which the Moho either experiences exhumation/burial or remains at a fixed depth balanced by crustal flux and erosion. Results show that Moho depth changes have a significant effect on thermal histories and thermochronometers, though this is not often considered in thermal history studies. Further, our results show that the recorded response of thermal histories/thermochronometers in the upper crust and geological processes that disrupt the crustal thermal field may be disassociated in time, because of the time and length scales of different heat transfer mechanisms. For example, a delamination event produces younger thermochronometer ages than an identical crustal exhumation history without delamination, but younger ages do not record the timing of delamination.</jats:p>"
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                "en": "A significant part of the restoration of mires and forests, as well as related research, has been carried out in southern Finland, where protected areas are small and fragmented, and their natural state has been degraded. In northern Finland, protected areas are large in area, and even areas affected by forestry are located adjacent to or in close proximity to natural areas. For this reason, the goals, practices, and research questions related to restoration in northern Finnish protected areas may at times differ significantly from those in southern Finland.\n\nIn the GreenBelt LIFE project (LIFE04 NAT/FI/000078), which began in 2004 in Koillismaa and Kainuu, a total of 600 hectares of forest and 362 hectares of mires were restored between 2005 and 2007. The comparison of the success of these measures and the study of their ecological impacts forms the first comprehensive restoration research project in northern Finland and one of the most extensive restoration studies in the entire country.\n\n####Methods\n\nThe study compares the effects of different restoration measures on mires in Kainuu and Northern Ostrobothnia. Restoration methods include timber harvesting or whole-tree harvesting, as well as ditch blocking. The research focuses on hydrology, vegetation and tree structure, litter decomposition, and peat mineralization.\n\nRestoration experiments were established in three Natura 2000 areas managed by Metsähallitus at the beginning of the GreenBelt LIFE project . The Natura 2000 areas locate in Kuhmo (Elimyssalo, Iso-Palonen-Maariansärkät, Teerisuo-Lososuo). These areas represent typical aapa mires that were drained in the 1970s and 1980s. Additional research sites are located outside the project area around the Bothnian Bay (Tauvo in Siikajoki). \n\nIn the planning phase of the study in 2005, a total of 12 mire areas were selected—10 in Kuhmo and two in the Bothnian Bay region, Siikajoki. In Kuhmo, timber harvesting was carried out on 7 mires and whole-tree harvesting on 3 mires, with a nearby natural mire serving as a reference. In Siikajoki, both mire areas underwent timber harvesting, with a natural mire and an unrestored drained mire serving as references.\n\nBaseline measurements before restoration were conducted between 2005 and 2007. Post-restoration monitoring began immediately after the measures. In Kuhmo, restoration was carried out by removing the tree stand according to the experimental design during the winter of 2006–2007 and blocking the ditches in August 2007, after which monitoring of the restoration began. In Siikajoki, the measures were implemented one year later.\n\n####Survey\n\nIn Kuhmo, a total of 546 table water wells were installed in the mires to measure water level. Water acidity and temperature were measured in some of the wells during the first study years. Measurements were taken once a month from May to October during 2005–2006 and before restoration in July–August 2007. After restoration, measurements were conducted monthly from May to October during 2006–2009 and in May, August, and October during 2010–2013. In a similar way, 114 table water wells were installed in Siikajoki, and they were monitored during 2006–2014.\n\nAdditionally, separate sampling wells were established on two natural mires (4 each) and on two restored mires for both harvest treatment (3 next to a ditch and 3 in the middle of the mire). From these wells, water samples were collected in May, August, and October during 2008–2013 to monitor nutrient leaching.\n\nVegetation succession, tree structure, litter decomposition, and peat mineralization were monitored around table water wells or from squares established next to the wells. Some of the wells were selected for monitoring in the middle of the strip and next to the ditch, as well as in a natural mire. These variables were monitored periodically. More detailed information describing the variables and measurements can be found in separate files. In addition, there is a model image of the layout of the monitoring sites in its own file.\n\nThe open data includes the model of monitoring layout, experimental plot information, measurement times, and variable descriptions as well as their relations. Data will be open after it has been published.",
                "fi": "Merkittävä osa soiden ja metsien ennallistamisesta sekä ennallistamista koskevasta tutkimuksesta on toteutettu eteläisessä Suomessa, jossa suojelualueet ovat kooltaan pieniä ja pirstaleisia, ja niiden luonnontilaisuus on heikentynyt. Pohjois-Suomessa suojelualueet ovat pinta-alaltaan suuria, ja metsätalouden heikentämätkin alueet sijaitsevat luonnontilaisten alueiden yhteydessä tai niiden välittömässä läheisyydessä. Tästä syystä pohjoissuomalaisten suojelualueiden ennallistamisen tavoitteet, käytännöt sekä tutkimuskysymykset voivat ajoittain poiketa merkittävästikin Etelä-Suomen tavoitteista ja käytännöistä. \n\nKoillismaalla ja Kainuussa vuonna 2004 käynnistyneessä GreenBelt LIFE –hankkeessa (LIFE04 NAT/FI/000078)  ennallistettiin yhteensä 600 ha metsää ja 362 ha soita vuosien 2005-2007 aikana. Toimenpiteiden onnistumisen vertailu ja luontovaikutusten tutkimus muodostavat ensimmäisen yhtenäisen ennallistamisen tutkimushankkeen Pohjois-Suomessa ja erään laajimmista ennallistamistutkimuksista koko maassa.\n\n#### Menetelmät\n\nTässä tutkimuksessa vertaillaan erilaisten ennallistamistoimien vaikutusta suoluontoon Kainuussa ja Pohjois-Pohjanmaalla. Soiden ennallistamismenetelminä ovat ainespuukorjuu tai kokopuunkorjuu sekä ojien tukkiminen. Tutkimuskohteina ovat soiden vesitalous, kasvillisuuden ja puuston rakenne, karikkeen hajoaminen ja turpeen mineralisaatio. \n\nSoiden ennallistamiskokeet perustettiin kolmelle Metsähallituksen hallinnoimalle Natura2000 –alueelle Kuhmossa (Elimyssalo, Iso-Palonen-Maariansärkät, Teerisuo-Lososuo) GreenBelt LIFE -hankkeen alussa. Alueet edustavat tyypillisiä aapasoita, jotka on ojitettu 1970–1980-luvuilla.  Soiden ennallistamisen tutkimuskohteita on myös hankealueen ulkopuolella Perämeren ympäristössä Siikajoen Tauvossa. \n\nTutkimuksen suunnitteluvaiheessa vuonna 2005 valittiin yhteensä 12 suoaluetta, joista 10 sijaitsi Kuhmossaja kaksi Perämeren ympäristössä Siikajoella. Kuhmossa ainespuukorjuu toteutettiin 7 suolla ja kokopuukorjuu 3 suolla ja suoalueen lähellä sijaitseva luonnontilainen suo oli verrokkina. Siikajoella molemmilla suoalueilla käsittelynä oli ainespuukorjuu ja verrokkina oli luonnontilainen suo sekä ennallistamaton ojitettu suo.\n\nLähtötilanteen mittaukset ennen ennallistamista tehtiin vuosien 2005–2007 aikana. Ennallistamisen jälkeinen seuranta aloitettiin heti toimien jälkeen. Kuhmossa ennallistaminen toteutettiin poistamalla puusto koeasetelman mukaisesti talvella 2006–2007 ja tukkimalla ojat elokuussa 2007, jonka jälkeen varsinainen ennallistumisen seuranta aloitettiin. Siikajoella toimet tehtiin vuotta myöhemmin.\n\n\n#### Seuranta\n\nKuhmossa soille perustettiin yhteensä 546 pohjavesikaivoa veden korkeuden mittausta varten. Veden happamuus ja lämpötila mitattiin alkuvuosina osasta kaivoja. Mittauksia tehtiin kerran kuussa touko-lokakuun välisenä aikana vuosina 2005–2006 ja ennen ojien tukkimista heinä-elokuussa 2007. Ennallistamisen jälkeen mittaukset tehtiin kuukausittain touko-lokakuun välisenä aikana vuosina 2006–2009 ja touko-, elo- ja lokakuussa vuosina 2010–2013. Siikajoella perustettiin vastaavasti 114 pohjavesikaivoa, joista mittauksia tehtiin vuosina 2006–2014. \n\nLisäksi Kuhmossa perustettiin erilliset kaivot ravinteiden huuhtoutumisen seurantaan kahdelle luonnontilaiselle suolle ja neljälle ennallistetulle suolle, joista kahdella oli toteutettu ainespuukorjuu ja kahdella kokopuukorjuu. Luonnontilaiselle suolle sijoitettiin neljä kaivoa. Ennallistetuille soille sijoitettiin kolme kaivoa ojan viereen ja kolme saran keskelle. Kaivoista otettiin vesinäytteet touko-, elo- ja lokakuussa vuosina 2008–2013. \n\nKasvillisuuden sukkessiota, puuston rakennetta, karikkeen hajoamista ja turpeen mineralisaatiota seurattiin pohjavesikaivojen ympäriltä tai niiden läheisyyteen perustetuilta ruuduilta. Seurantaa varten valittiin osa pohjavesikaivoista saran keskeltä ja ojan vierestä sekä luonnontilaiselta suolta. Näiden muuttujien seuranta tehtiin määräajoin. Muuttujia ja mittauksia kuvaavat tarkemmat tiedot löytyvät erillisistä tiedostoista. Lisäksi omana tiedostonaan on mallikuva seurantakohteiden asettelusta.\n\nAvoimena datana löytyvät seurantakohteiden asettelu, koealatiedot, mittauskerrat sekä muuttujat ja niiden väliset yhteydet. Varsinainen mittausdata julkaistaan sen jälkeen, kun tulokset on julkaistu."
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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 30 measurement stations in Helsinki.\n\nTechnical Info:\n\nNB: Update on 4.9.2026: data file Helsinki\\_082026.dat added.\n\nThe measurements were conducted at a height of 3 m in the locations listed in Helsinki\\_Table1\\_New.txt during 12/2024-8/2026.\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   \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 Helsinki\\_Table1\\_New. 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:\n\nThe descriptions of the measurement stations are in Helsinki\\_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 Helsinki\\_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   \nStewart 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": "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 13.8.2026: data file Tampere\\_202607.dat added.\n\nThe measurements were conducted at a height of 3 m in the locations listed in Tampere\\_Table1\\_New.txt during 07/2023-7/2026.\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": "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 4.9.2026: data file Tampere\\_202608.dat added.\n\nThe measurements were conducted at a height of 3 m in the locations listed in Tampere\\_Table1\\_New.txt during 07/2023-8/2026.\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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            "description": {
                "en": "The survey studied the leisure time activities and physical activity of Finnish children aged 7-9. In addition to organised sport, everyday physical activities were also included in the study's definition of physical activity. The interviews were conducted with children aged 7-9 and their parents or guardians. The study was funded by the State Youth Council. First, the parents of the respondents were asked whether their child had any hobbies (not only organised activities but also hobbies that the child might do by themselves at home), whether the parents themselves took part in the child's hobby (e.g. by taking the child to practice, acting as a coach), and how often, if so. The child's screen time was also surveyed. The child's physical activity was charted by asking the parents whether the child had any hobbies that included some form of exercise, whether the child took part in any organised sports, how many days a week the child was physically active at least 60 minutes a day, time spent in vigorous exercise, and whether the child would like to exercise more in their leisure time or take part in a certain kind of exercise. Monthly expenses associated with the child's hobbies that included physical activity were also examined. Those parents who indicated that their child did not take part in exercise in their leisure time were asked about the child's reasons for not exercising (e.g. the child doesn't enjoy exercise, the kind of exercise the child would like to do is too expensive, the child has a disability or illness that makes it difficult to take part in exercise). Those parents/guardians who indicated that their child took part in exercise in their leisure time were asked to estimate how often the child took part in certain forms exercise (e.g. practices, competitions or matches organised by a sports club, school-organised sports clubs, cycling or playing outside independently) and how well several statements applied to the child's current hobbies that included physical activity (e.g. it is affordable, the child enjoys the hobby, the coaching is of high quality). The next set of questions focused on leisure time from the children's perspective. The children were asked how much leisure time they felt they had, what activities they did in their leisure time (e.g. writing, drawing or painting, playing an instrument or singing, reading, playing video games) and how often they did these activities. The children's physical activity was charted by asking how often they exercised in their leisure time, if they would like to exercise more or take part in a certain kind of exercise, and if they took part in any organised sports. Reasons for exercising and not exercising were also investigated. Background variables included the family's region of residence, type of neighbourhood, type of municipality, the child's gender and mother tongue, highest education level attained by mother/female guardian and father/male guardian, and the family's household composition and financial situation.",
                "fi": "Aineistossa selvitettiin Suomessa asuvien 7-9 vuotiaiden lasten vapaa-ajanviettotapoja tarkentaen liikuntaan. Haastattelut tehtiin 7-9-vuotiaille lapsille ja heidän vanhemmilleen. Tiedonkeruun rahoitti valtion nuorisoneuvosto. Aineistossa liikunnaksi lukeutui ohjatun harrastustoiminnan lisäksi omaehtoiset liikuntamuodot. Tutkimuskysymyksillä kartoitettiin, miten lapset viettävät vapaa-aikaansa, kuinka paljon he liikkuvat ja millaista liikuntaa he harrastavat. Lisäksi aineistossa pyrittiin selvittämään syitä harrastamattomuudelle. Kiinnostuneita oltiin myös siitä, miksi lapset harrastivat liikuntaa ja millä tapaa he haluaisivat liikkua. Vanhemmilta kysyttiin, millaisia piirteitä he pitivät lastensa harrastuksilta toivottavina ja kuinka paljon he itse osallistuivat lastensa harrastuksiin. Heitä pyydettiin myös arvioimaan harrastuksesta aiheutuvien kustannusten määrää. Taustamuuttujina aineistossa ovat lapsen äidinkieli ja sukupuoli, asuinpaikka, vanhempien koulutustaso, taloudellinen toimeentulo sekä huoltajien ja lasten määrä perheessä."
            },
            "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": "2022-07-26",
            "keyword": [
                "lapset (ikäryhmät)",
                "vapaa-aika",
                "harrastukset",
                "fyysinen aktiivisuus",
                "liikunta",
                "liikuntaharrastus",
                "urheilu",
                "lapsuus",
                "ajankäyttö",
                "vapaa-ajantoiminnat",
                "hyvinvointi",
                "children",
                "exercise (physical activity)",
                "hobbies",
                "sport",
                "leisure time",
                "leisure time activities",
                "social life",
                "childhood",
                "well-being (health)",
                "Lapset",
                "Vapaa-aika, matkailu ja urheilu",
                "Children",
                "Leisure, tourism and sport"
            ],
            "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": "541fdb9b-f8a8-4c75-a75d-13f413454d72",
                "organization": "fairdata.fi"
            },
            "other_identifiers": [
                {
                    "notation": "https://doi.org/10.60686/t-fsd3534",
                    "identifier_type": {
                        "id": "753e313e-2eb1-4f81-988c-d50e7a7cd7fb",
                        "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)"
                        }
                    },
                    "metax_ids": []
                }
            ],
            "persistent_identifier": "urn:nbn:fi:fsd:T-FSD3534",
            "pid_generated_by_fairdata": false,
            "projects": [],
            "provenance": [
                {
                    "id": "e9dea717-ec02-4b5f-82b8-7275ed93e40e",
                    "title": {
                        "en": "Collection"
                    },
                    "description": {
                        "en": "Contains the date(s) when the data were collected."
                    },
                    "spatial": {
                        "geographic_name": "Suomi"
                    },
                    "temporal": {
                        "start_date": "2018-05-01",
                        "end_date": "2018-05-31"
                    },
                    "is_associated_with": [],
                    "used_entity": [],
                    "variables": [
                        {
                            "id": "7d6b770f-5778-4b39-b5f1-e97698226239",
                            "pref_label": {
                                "en": "Children aged 7-9 living in Finland and their parents",
                                "fi": "Suomessa asuvat 7-9-vuotiaat lapset sekä heidän vanhempansa"
                            }
                        }
                    ]
                },
                {
                    "id": "3d306e8a-707d-4448-9a86-696927b42463",
                    "title": {
                        "en": "Production"
                    },
                    "description": {
                        "en": "Date when the data collection were produced (not distributed or archived)"
                    },
                    "temporal": {
                        "start_date": "2022-07-26",
                        "end_date": "2022-07-26"
                    },
                    "is_associated_with": [],
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                },
                {
                    "id": "ded5675d-a1c5-49ef-b6be-ee965a492e17",
                    "title": {
                        "en": "Production"
                    },
                    "description": {
                        "en": "Date when the data collection were produced (not distributed or archived)"
                    },
                    "temporal": {
                        "start_date": "2022-10-22",
                        "end_date": "2022-10-22"
                    },
                    "is_associated_with": [],
                    "used_entity": [],
                    "variables": []
                },
                {
                    "id": "b74bd7c1-4722-4c2a-8290-39cd95039e8f",
                    "title": {
                        "en": "Collection"
                    },
                    "description": {
                        "en": "Contains the date(s) when the data were collected."
                    },
                    "spatial": {
                        "geographic_name": "Finland"
                    },
                    "is_associated_with": [],
                    "used_entity": [],
                    "variables": []
                }
            ],
            "relation": [],
            "remote_resources": [],
            "spatial": [
                {
                    "geographic_name": "Suomi"
                },
                {
                    "geographic_name": "Finland"
                }
            ],
            "state": "published",
            "temporal": [
                {
                    "start_date": "2018-05-01",
                    "end_date": "2018-05-31"
                }
            ],
            "theme": [],
            "title": {
                "en": "Children and Youth Leisure Survey: 7-9-Year-Olds 2018",
                "fi": "Lasten ja nuorten vapaa-aika: 7-9-vuotiaat 2018"
            },
            "created": "2022-07-27T01:00:25Z",
            "modified": "2026-09-04T01:08:18Z",
            "dataset_versions": [
                {
                    "id": "e4f2732f-4922-48e2-92a0-3c64e888cb37",
                    "title": {
                        "en": "Children and Youth Leisure Survey: 7-9-Year-Olds 2018",
                        "fi": "Lasten ja nuorten vapaa-aika: 7-9-vuotiaat 2018"
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                    "persistent_identifier": "urn:nbn:fi:fsd:T-FSD3534",
                    "state": "published",
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            "published_revision": 10,
            "version": 1,
            "api_version": 3,
            "metadata_repository": "Fairdata",
            "record_created": "2022-07-27T01:00:25Z",
            "record_modified": "2026-09-04T01:08:19Z"
        }
    ]
}