cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48677/b8612902-e58d-4757-887f-3532c6ff59f7
title: ALS DTM CRS3035RES50000mN2750000E4850000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.7488/ds/7485
title: Anonymised results of the 2022 University of Edinburgh Research Culture Survey

description: Anonymised results of the 2022 University of Edinburgh Research Culture Survey. Research active institutions can be considered as having a “research culture”, which helps frame the expectations and actions of members of their research communities. Some aspects of some research cultures may be detrimental to researcher productivity and to their liver experience of research. Institutional efforts to improve research cultures are important, but would require some ability to assess the features of an existing research culture, and to track changes over time. The questions deployed have in some cases been changed from the 2020 survey (also available in Datashare); and the Question ids provided in the data dictionary are consistent: although the question numbering in the question text descriptor may be different.
description: Data dictionary available in this collection
DOI: 10.5281/zenodo.8108946
title: Final abundances used in "Impact of level densities and gamma-strength functions on r-process simulations"

description: Dataset of final abundances used in the article "Impact of level densities and gamma-strength functions on r-process simulations", found on ArXiv at https://arxiv.org/abs/2305.03664. The five files named "final_y_x_ext_REACLIB" contain the abundances calculated using the REACLIB rates and the x trajectory. The five folders represent the five different trajectories used, and they each contain 48 final abundance files. These were calculated using the 48 different neutron-capture rate combinations from the 6 nuclear level density and the 8 gamma-strength function models available in TALYS 1.95. The names indicate the trajectory, the mass model, the nuclear level density, the gamma-strength function and the optical model potential used. For example, the file named "b_output_m2n1s7o2_noDZ" contains the final abundances obtained using trajectory "b", mass model 2, nuclear level density 1, strength 7 and optical model potential 2 (in this case meaning keyword "localomp n" in TALYS 1.95). For details and references, see the article. The first column in all files indicates the mass number A, the second column the final abundance Y.
DOI: 10.5281/zenodo.8108945
title: Final abundances used in "Impact of level densities and gamma-strength functions on r-process simulations"

description: Dataset of final abundances used in the article "Impact of level densities and gamma-strength functions on r-process simulations", found on ArXiv at https://arxiv.org/abs/2305.03664. The five files named "final_y_x_ext_REACLIB" contain the abundances calculated using the REACLIB rates and the x trajectory. The five folders represent the five different trajectories used, and they each contain 48 final abundance files. These were calculated using the 48 different neutron-capture rate combinations from the 6 nuclear level density and the 8 gamma-strength function models available in TALYS 1.95. The names indicate the trajectory, the mass model, the nuclear level density, the gamma-strength function and the optical model potential used. For example, the file named "b_output_m2n1s7o2_noDZ" contains the final abundances obtained using trajectory "b", mass model 2, nuclear level density 1, strength 7 and optical model potential 2 (in this case meaning keyword "localomp n" in TALYS 1.95). For details and references, see the article. The first column in all files indicates the mass number A, the second column the final abundance Y.
DOI: 10.48677/b0390b7f-9f5d-496b-ad30-56c3c1f37bc0
title: ALS DTM CRS3035RES50000mN2800000E4500000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/599032da-1e32-4c9f-9902-6de1cd64f4f5
title: ALS DTM CRS3035RES50000mN2800000E4550000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.5281/zenodo.8108973
title: The positive effect of plant diversity on soil carbon depends on climate

description: The three files contain all data (Data S1) and all R code to produce all tables and figures of the manuscript entitled "<strong>The positive effect of plant diversity on soil carbon depends on climate".</strong>
DOI: 10.5281/zenodo.8108972
title: The positive effect of plant diversity on soil carbon depends on climate

description: The three files contain all data (Data S1) and all R code to produce all tables and figures of the manuscript entitled "<strong>The positive effect of plant diversity on soil carbon depends on climate".</strong>
DOI: 10.48677/ea84b94d-439a-405b-8d3a-cb0f8a567fff
title: ALS DTM CRS3035RES50000mN2800000E4600000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.5281/zenodo.4587353
title: Models and datasets - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: <strong>Models and raw datasets required for reproducing the results of the manuscript The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli. by Hameri et al. </strong><br> <br> Models: Three thermodynamically curated models of E.coli metabolism of increasing size - namely D1, D2 and D3 - are provided in MATLAB format .mat files: D1: D1_FDP1.mat D2: D2_FDP1.mat D3: D3_FDP1.mat Datasets: Configuration MATLAB .mat files that were used to generate the control coefficient (Metabolic Control Analysis) for D1, D2 and D3. Also, the steady-state metabolic flux and concentration vectors are provided. D1: metSampDataD1_FDP1.mat D2: metSampDataD2_FDP1.mat D3: metSampDataD3_FDP1.mat The populations of 50’000 control coefficients for D1, D2 and D3 are provided for each model in five separate subsets/batches of 10’000 control coefficients. Each model X has 50 files YY of 1’000 control coefficients DataDX_FDP1YY, where X is the model ranging from 1-3 and YY is the file number ranging 1-50. D1: Supplementary dataset 1: https://doi.org/10.5281/zenodo.4585663 Supplementary dataset 2: https://doi.org/10.5281/zenodo.4585702 Supplementary dataset 3: https://doi.org/10.5281/zenodo.4585719 Supplementary dataset 4: https://doi.org/10.5281/zenodo.4585739 Supplementary dataset 5: https://doi.org/10.5281/zenodo.4585865 D2: Supplementary dataset 6: https://doi.org/10.5281/zenodo.4585932 Supplementary dataset 7: https://doi.org/10.5281/zenodo.4585995 Supplementary dataset 8: https://doi.org/10.5281/zenodo.4586074 Supplementary dataset 9: https://doi.org/10.5281/zenodo.4586286 Supplementary dataset 10: https://doi.org/10.5281/zenodo.4586380 D3: Supplementary dataset 11: https://doi.org/10.5281/zenodo.4586482 Supplementary dataset 12: https://doi.org/10.5281/zenodo.4586597 Supplementary dataset 13: https://doi.org/10.5281/zenodo.4586660 Supplementary dataset 14: https://doi.org/10.5281/zenodo.4586732 Supplementary dataset 15: https://doi.org/10.5281/zenodo.4586767
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4587352
title: Models and datasets - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: <strong>Models and raw datasets required for reproducing the results of the manuscript The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli. by Hameri et al. </strong><br> <br> Models: Three thermodynamically curated models of E.coli metabolism of increasing size - namely D1, D2 and D3 - are provided in MATLAB format .mat files: D1: D1_FDP1.mat D2: D2_FDP1.mat D3: D3_FDP1.mat Datasets: Configuration MATLAB .mat files that were used to generate the control coefficient (Metabolic Control Analysis) for D1, D2 and D3. Also, the steady-state metabolic flux and concentration vectors are provided. D1: metSampDataD1_FDP1.mat D2: metSampDataD2_FDP1.mat D3: metSampDataD3_FDP1.mat The populations of 50’000 control coefficients for D1, D2 and D3 are provided for each model in five separate subsets/batches of 10’000 control coefficients. Each model X has 50 files YY of 1’000 control coefficients DataDX_FDP1YY, where X is the model ranging from 1-3 and YY is the file number ranging 1-50. D1: Supplementary dataset 1: https://doi.org/10.5281/zenodo.4585663 Supplementary dataset 2: https://doi.org/10.5281/zenodo.4585702 Supplementary dataset 3: https://doi.org/10.5281/zenodo.4585719 Supplementary dataset 4: https://doi.org/10.5281/zenodo.4585739 Supplementary dataset 5: https://doi.org/10.5281/zenodo.4585865 D2: Supplementary dataset 6: https://doi.org/10.5281/zenodo.4585932 Supplementary dataset 7: https://doi.org/10.5281/zenodo.4585995 Supplementary dataset 8: https://doi.org/10.5281/zenodo.4586074 Supplementary dataset 9: https://doi.org/10.5281/zenodo.4586286 Supplementary dataset 10: https://doi.org/10.5281/zenodo.4586380 D3: Supplementary dataset 11: https://doi.org/10.5281/zenodo.4586482 Supplementary dataset 12: https://doi.org/10.5281/zenodo.4586597 Supplementary dataset 13: https://doi.org/10.5281/zenodo.4586660 Supplementary dataset 14: https://doi.org/10.5281/zenodo.4586732 Supplementary dataset 15: https://doi.org/10.5281/zenodo.4586767
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.4121/f9250f19-182b-477f-bb09-94b7c8d84048
title: Data underlying the research of Differences in otolith microstructure between hatchery-reared and wild Triplophysa yarkandensis

description: By comparing the width of the first 40 daily increments of otoliths, it was found that the width of otoliths of wild leaf antelope was significantly wider than that of hatchery-reared Yelkandens. The otolith daily increment width of wild leaf lindens increased significantly with age and then slowly decreased, whereas the hatchery-reared Yercandens otoliths showed a more stable increase in daily increment width.
DOI: 10.4121/f9250f19-182b-477f-bb09-94b7c8d84048.v1
title: Data underlying the research of Differences in otolith microstructure between hatchery-reared and wild Triplophysa yarkandensis

description: By comparing the width of the first 40 daily increments of otoliths, it was found that the width of otoliths of wild leaf antelope was significantly wider than that of hatchery-reared Yelkandens. The otolith daily increment width of wild leaf lindens increased significantly with age and then slowly decreased, whereas the hatchery-reared Yercandens otoliths showed a more stable increase in daily increment width.
DOI: 10.48677/3993f383-fe41-4409-b928-33d04ee43111
title: ALS DTM CRS3035RES50000mN2800000E4650000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.5281/zenodo.8108877
title: Stakeholders in Croatian Agriculture Open Data Ecosystem

description: The dataset shows the identified stakeholders in the Croatian agriculture open data ecosystem in the researched literature available on national portals Hrčak (the Portal of Croatian scientific and professional journals) and Dabar (Digital Academic Archives and Repositories). The complex query: "stakeholder" OR "persons" OR "actors" OR "agriculture" OR "agriculture business" OR "farms" OR "agriculture sector" OR "agriculture area" OR "agriculture field" AND "open data" was used for search of the national databases Hrčak and Dabar. The stakeholders identified in the query were classified and grouped into five key stakeholder groups: Agriculture producers/Farmers, Suppliers, Management and Support Organizations, Consumer Organizations/Consumers, Researches and Scientists, and Others.
description: {"references": ["Hrustek et al., (2022). Towards Digital Innovation: Stakeholder Interactions in Agricultural Data Ecosystem in Croatia"]}
DOI: 10.5281/zenodo.7178590
title: Supporting materials for analysis of global emissions from rivers and streams

description: These are the raw files to run the analysis detailed here: https://github.com/rocher-ros/RiverMethaneFlux. Further instructions of use can be find in the code repository. The results of this analysis are a global gridded product of methane river concentrations and fluxes, which can be found in: https://doi.org/10.5281/zenodo.8108959. The journal article based on the results of this analysis is currently in press in Nature (https://doi.org/10.1038/s41586-023-06344-6)
DOI: 10.5281/zenodo.7178591
title: Supporting materials for analysis of global emissions from running waters

description: Data files to run the analysis detailed here: https://github.com/rocher-ros/RiverMethaneFlux
DOI: 10.5281/zenodo.7180033
title: Supporting materials for analysis of global emissions from running waters

description: These are the raw files to run the analysis detailed here: https://github.com/rocher-ros/RiverMethaneFlux. Please read the code repository for further instructions of use
DOI: 10.5281/zenodo.8108876
title: Stakeholders in Croatian Agriculture Open Data Ecosystem

description: The dataset shows the identified stakeholders in the Croatian agriculture open data ecosystem in the researched literature available on national portals Hrčak (the Portal of Croatian scientific and professional journals) and Dabar (Digital Academic Archives and Repositories). The complex query: "stakeholder" OR "persons" OR "actors" OR "agriculture" OR "agriculture business" OR "farms" OR "agriculture sector" OR "agriculture area" OR "agriculture field" AND "open data" was used for search of the national databases Hrčak and Dabar. The stakeholders identified in the query were classified and grouped into five key stakeholder groups: Agriculture producers/Farmers, Suppliers, Management and Support Organizations, Consumer Organizations/Consumers, Researches and Scientists, and Others.
description: {"references": ["Hrustek et al., (2022). Towards Digital Innovation: Stakeholder Interactions in Agricultural Data Ecosystem in Croatia"]}
DOI: 10.48677/7f284579-e943-48d8-8566-9fd480a89062
title: ALS DTM CRS3035RES50000mN2800000E4700000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.5281/zenodo.7733577
title: Gridded products of global river methane concentrations, flux rates and emissions

description: <strong>Information on the products on this repository</strong> These data is created using the R scripts with the random forest models and upscaling procedures found in: https://github.com/rocher-ros/RiverMethaneFlux. Raw files to reproduce this product can be found in https://doi.org/10.5281/zenodo.7733604 The results of this analysis are published in the article "Global Methane emissions form rivers and streams" (accepted). Main author is Gerard Rocher-Ros, for which correspondence can be sent to g.rocher.ros@gmail.com Units of the variables in the product are:<br> -River methane concentration: mmol CH4 m-3<br> -River methane diffusive flux rates: mmol CH4 m-2 d-1 (of river area)<br> -River methane diffusive emissions: Giga grams of C-CH4 (for each pixel). The spatial resolution of the product is 0.25 degrees (which corresponds to around 27 km). The files are in WGS84. There are four main products in this folder, packed as geotiff files, and described below. + The file "river_methane_yearly.tiff" contains three layers:<br> - Yearly average river CH4 concentrations (ch4_conc_avg)<br> - Yearly average river CH4 diffusive flux rates (ch4_flux_avg)<br> - Yearly total river CH4 diffusive emissions (ch4_emissions_year) + The file "river_methane_concs_monthly.tiff" contains twelve layers, with the modelled river methane concentrations for each month. + The file "river_methane_flux_monthly.tiff" contains twelve layers, with the modelled river methane flux rates for each month. + The file "river_methane_emissions_monthly.tiff" contains twelve layers, with the total river methane emissions for each month.
DOI: 10.5281/zenodo.7733604
title: Supporting materials for analysis of global emissions from rivers and streams

description: These are the raw files to run the analysis detailed here: https://github.com/rocher-ros/RiverMethaneFlux. Further instructions of use can be find in the code repository. The results of this analysis are a global gridded product of methane river concentrations and fluxes, which can be found in: https://doi.org/10.5281/zenodo.8108959. The journal article based on the results of this analysis is currently in press in Nature (https://doi.org/10.1038/s41586-023-06344-6)
DOI: 10.5281/zenodo.7969833
title: Gridded products of global river methane concentrations, flux rates and emissions

description: <strong>Information on the products on this repository</strong> These data is created using the R scripts with the random forest models and upscaling procedures found in: https://github.com/rocher-ros/RiverMethaneFlux. Raw files to reproduce this product can be found in https://doi.org/10.5281/zenodo.7733604 The results of this analysis are published in the article "Global Methane emissions form rivers and streams" (accepted). Main author is Gerard Rocher-Ros, for which correspondence can be sent to g.rocher.ros@gmail.com Units of the variables in the product are:<br> -River methane concentration: mmol CH4 m-3<br> -River methane diffusive flux rates: mmol CH4 m-2 d-1 (of river area)<br> -River methane diffusive emissions: Giga grams of C-CH4 (for each pixel). The spatial resolution of the product is 0.25 degrees (which corresponds to around 27 km). The files are in WGS84. There are four main products in this folder, packed as geotiff files, and described below. + The file "river_methane_yearly.tiff" contains three layers:<br> - Yearly average river CH4 concentrations (ch4_conc_avg)<br> - Yearly average river CH4 diffusive flux rates (ch4_flux_avg)<br> - Yearly total river CH4 diffusive emissions (ch4_emissions_year) + The file "river_methane_concs_monthly.tiff" contains twelve layers, with the modelled river methane concentrations for each month. + The file "river_methane_flux_monthly.tiff" contains twelve layers, with the modelled river methane flux rates for each month. + The file "river_methane_emissions_monthly.tiff" contains twelve layers, with the total river methane emissions for each month.
DOI: 10.48677/24e00519-1c40-4ec8-9f60-a10fae788017
title: ALS DTM CRS3035RES50000mN2800000E4750000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.