cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22671004.v5
title: Dataset for "Amino acid nitrogen isotopic compositions show seep copepods gain nutrition from host animals"

description: All data and MATLAB codes used in the manuscript "Amino acid nitrogen isotopic compositions show seep copepods gain nutrition from host animals" under review
DOI: 10.18712/nsd-nsd2112-v8
title: Norwegian Citizen Panel Round 2, 2014

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. For access to time series data, or text data, please contact DIGSSCORE. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2165-v9
title: Norwegian Citizen Panel Round 3, 2014

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. For access to time series data, or text data, please contact DIGSSCORE. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2342-v10
title: Norwegian Citizen Panel Round 4, 2015

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. For access to time series data, or text data, please contact DIGSSCORE. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.17632/3766fb76w6.1
title: BDEggs: A comprehensive image dataset of different types of eggs from birds in Bangladesh

description: Introducing the dataset “BDEggs”, a distinguishable collection of eight bird egg species commonly found across all of Bangladesh. With a focus on providing comprehensive information, this dataset encompasses eight distinct species of eggs, including: 1. Budgerigar (Melopsittacus undulatus), 2. Domestic pigeon (Columba livia domestica), 3. Domestic duck (Anas platyrhynchos domesticus), 4. Broiler chicken (Gallus gallus domesticus) 5. Country chicken (Gallus gallus domesticus) 6. Quail (Coturnix coturnix), 7. Guinea Fowl (Numididae), 8. China duck (Anas zonorhyncha) Our team has painstakingly gathered a total of 1200 original images. Each original image was diligently captured with natural lighting and an appropriate background, ensuring utmost attention to detail. We dedicated two months, from August 20, 2023, to September 24, 2023, to collect these images from various areas within the Dhaka division. This comprehensive dataset holds immense potential for researchers to leverage advanced machine learning and deep learning techniques in order to drive meaningful advancements in the agricultural sector. As a valuable resource, it paves the way for groundbreaking discoveries in these fields in the future.
DOI: 10.17632/br5k8yd8dx.1
title: Sulfide compositions of young Chang’e-5 basalts and implications for homogeneous sulfur isotopes in lunar basalt sources

description: Table S1. Chemical compositions (wt.%) of troilites and metals in the CE-5 soil fragments
Table S2. The major compositions (wt.%) of silicate phases associated with troilites in the CE-5 lunar soil fragments
Table S3. Sufur isotopes of troilites from the CE-5 soil fragments, lunar meteorites, iron meteorites and standards
Table S4. S isotopic compositions of troilites in the Chang'e-5 basaltic fragments.							
Table S5. Mineral proportion, size distribution of troilites and mineral assiciations of troilites in CE-5 basalt
DOI: 10.17632/br5k8yd8dx.2
title: Sulfide compositions of young Chang’e-5 basalts and implications for sulfur isotopes in lunar basalt sources

description: Table S1. Mineral proportion, size distribution of troilites and mineral assciations of troilites in CE-5 basalt Table S2. Chemical compositions (wt.%) of troilites and metals in the CE-5 soil fragments Table S3. The major compositions (wt.%) of silicate phases associated with troilites in the CE-5 lunar soil fragments Table S4. Sufur isotopes of troilites from the CE-5 soil fragments, lunar meteorites, iron meteorites and standards Table S5. S isotopic compositions of troilites in the Chang'e-5 basaltic fragments. Table S6 Compiled sulfur isotope data from bulk rock analyses.
DOI: 10.5281/zenodo.10122920
title: Future monthly discharge and water temperature simulations under global change (CMIP6)

description: Monthly discharge (m3 s-1) and water temperature (K) simulated by a global hydrological model coupled to a surface water quality model (PCR-GLOBWB2-DynQual) for the time period 2005 - 2100, for an ensemble of 15 projections based on three combined climate and socio-economic scenarios (SSP1-RCP2.6; SSP3-RCP7.0 and SSP5-RCP8.5) and five general circulation models (GFDL-ESM4; UKESM1-0-LL; MPI-ESM1-2-hr; IPSL-CM6A-LR and MRI-ESM2-0)
Output data are provided at 10km resolution and are averaged at monthly temporal resolution.
These datasets were generated as part of the work presented in: Jones, E.R., Bierkens, M.F.P., van Puijenbroek, P.J.T.M. et al. Sub-Saharan Africa will increasingly become the dominant hotspot of surface water pollution. Nat Water 1, 602–613 (2023). https://doi.org/10.1038/s44221-023-00105-5
Relevant model description papers can be found at the following links:

PCR-GLOBWB2: Sutanudjaja, E. H., van Beek, R., Wanders, N., Wada, Y., Bosmans, J. H. C., Drost, N., van der Ent, R. J., de Graaf, I. E. M., Hoch, J. M., de Jong, K., Karssenberg, D., López López, P., Peßenteiner, S., Schmitz, O., Straatsma, M. W., Vannametee, E., Wisser, D., and Bierkens, M. F. P.: PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model, Geoscientific Model Development, 11, 2429–2453, https://doi.org/10.5194/gmd-11-2429-2018, 2018.
DynQual: Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.: DynQual v1.0: a high-resolution global surface water quality model, Geoscientific Model Development, 16, 4481–4500, https://doi.org/10.5194/gmd-16-4481-2023, 2023.
Additional information on the water temperature modelling can also be found at:

Wanders, N., van Vliet, M. T. H., Wada, Y., Bierkens, M. F. P., & van Beek, L. P. H. (Rens): High-resolution global water temperature modeling. Water Resources Research, 55, 2760–2778, https://doi.org/10.1029/2018WR023250, 2019
van Beek, L. P. H., Eikelboom, T., van Vliet, M. T. H., and Bierkens, M. F. P.: A physically based model of global freshwater surface temperature, Water Resources. Research, 48, W09530, https://doi.org/10.1029/2012WR011819 , 2012.
DOI: 10.5281/zenodo.10122919
title: Future monthly discharge and water temperature simulations under global change (CMIP6)

description: Monthly discharge (m3 s-1) and water temperature (K) simulated by a global hydrological model coupled to a surface water quality model (PCR-GLOBWB2-DynQual) for the time period 2005 - 2100, for an ensemble of 15 projections based on three combined climate and socio-economic scenarios (SSP1-RCP2.6; SSP3-RCP7.0 and SSP5-RCP8.5) and five general circulation models (GFDL-ESM4; UKESM1-0-LL; MPI-ESM1-2-hr; IPSL-CM6A-LR and MRI-ESM2-0)
Output data are provided at 10km resolution and are averaged at monthly temporal resolution.
These datasets were generated as part of the work presented in: Jones, E.R., Bierkens, M.F.P., van Puijenbroek, P.J.T.M. et al. Sub-Saharan Africa will increasingly become the dominant hotspot of surface water pollution. Nat Water 1, 602–613 (2023). https://doi.org/10.1038/s44221-023-00105-5
Relevant model description papers can be found at the following links:

PCR-GLOBWB2: Sutanudjaja, E. H., van Beek, R., Wanders, N., Wada, Y., Bosmans, J. H. C., Drost, N., van der Ent, R. J., de Graaf, I. E. M., Hoch, J. M., de Jong, K., Karssenberg, D., López López, P., Peßenteiner, S., Schmitz, O., Straatsma, M. W., Vannametee, E., Wisser, D., and Bierkens, M. F. P.: PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model, Geoscientific Model Development, 11, 2429–2453, https://doi.org/10.5194/gmd-11-2429-2018, 2018.
DynQual: Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.: DynQual v1.0: a high-resolution global surface water quality model, Geoscientific Model Development, 16, 4481–4500, https://doi.org/10.5194/gmd-16-4481-2023, 2023.
Additional information on the water temperature modelling can also be found at:

Wanders, N., van Vliet, M. T. H., Wada, Y., Bierkens, M. F. P., & van Beek, L. P. H. (Rens): High-resolution global water temperature modeling. Water Resources Research, 55, 2760–2778, https://doi.org/10.1029/2018WR023250, 2019
van Beek, L. P. H., Eikelboom, T., van Vliet, M. T. H., and Bierkens, M. F. P.: A physically based model of global freshwater surface temperature, Water Resources. Research, 48, W09530, https://doi.org/10.1029/2012WR011819 , 2012.
DOI: 10.34740/kaggle/dsv/6973608
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/6973620
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.10134364
title: Metabolomic Expertiment_Exposition of M.tuberculosis to garlic essential oil

description: The data contain the results of metabolomic exteriment. M. tuberculosis exposed to garlic essential oil in two doses: lower and higher. Levels of lipids were calculated in relation to control samples. Expression results were calculated in relation to reference standard.
DOI: 10.5281/zenodo.10134365
title: Metabolomic Expertiment_Exposition of M.tuberculosis to garlic essential oil

description: The data contain the results of metabolomic exteriment. M. tuberculosis exposed to garlic essential oil in two doses: lower and higher. Levels of lipids were calculated in relation to control samples. Expression results were calculated in relation to reference standard.
DOI: 10.5281/zenodo.10000225
title: The role of dynamics in heterogeneous catalysis: surface diffusivity and N2 decomposition on Fe(111)

description: Data related to the molecular dynamics simulations reported in the manuscript "The role of dynamics in heterogeneous catalysis: surface diffusivity and N2 decomposition on Fe(111)"
- Inputs of the MD simulations of surface morphology and dynamics (LAMMPS)
- Inputs of the OPES simulations for N2 adsorption and dissociation (LAMMPS+PLUMED)
- MD outputs: trajectory files
- Code for analysis and post-processed data
- Jupyter notebook to reproduce the pictures reported in the manuscript
DOI: 10.5281/zenodo.10000226
title: The role of dynamics in heterogeneous catalysis: surface diffusivity and N2 decomposition on Fe(111)

description: Data related to the molecular dynamics simulations reported in the manuscript "The role of dynamics in heterogeneous catalysis: surface diffusivity and N2 decomposition on Fe(111)"
- Inputs of the MD simulations of surface morphology and dynamics (LAMMPS)
- Inputs of the OPES simulations for N2 adsorption and dissociation (LAMMPS+PLUMED)
- MD outputs: trajectory files
- Code for analysis and post-processed data
- Jupyter notebook to reproduce the pictures reported in the manuscript
DOI: 10.5517/ccdc.csd.cc2bdkr2
title: CCDC 2157034: Experimental Crystal Structure Determination

description: Related Article: Dylan M.T. Eralie, Tessa M. Hoang, Justin A. Williamson, Daniel K. Unruh, John D. Gorden, Anne E.V. Gorden|2023|Inorg.Chem.|62|18029|doi:10.1021/acs.inorgchem.3c01991
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dbvxj
title: CCDC 2214978: Experimental Crystal Structure Determination

description: Related Article: Zhen-Lin Qiu, Yang Cheng, Qi Zeng, Qiong Wu, Xin-Jing Zhao, Rong-Jie Xie, LiuBin Feng, Kaihui Liu, Yuan-Zhi Tan|2023|J.Am.Chem.Soc.|145|3289|doi:10.1021/jacs.2c12401
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3nfn
title: CCDC 2237841: Experimental Crystal Structure Determination

description: Related Article: Atash V. Gurbanov, Rosa M. Gomila, Antonio Frontera, Namiq Q. Shikhaliyev, Nazrin R. Zeynalli, Kamran T. Mahmudov, Armando J. L. Pombeiro|2023|Cryst.Growth Des.|23|7647|doi:10.1021/acs.cgd.3c00933
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3nhq
title: CCDC 2237843: Experimental Crystal Structure Determination

description: Related Article: Atash V. Gurbanov, Rosa M. Gomila, Antonio Frontera, Namiq Q. Shikhaliyev, Nazrin R. Zeynalli, Kamran T. Mahmudov, Armando J. L. Pombeiro|2023|Cryst.Growth Des.|23|7647|doi:10.1021/acs.cgd.3c00933
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3njr
title: CCDC 2237844: Experimental Crystal Structure Determination

description: Related Article: Atash V. Gurbanov, Rosa M. Gomila, Antonio Frontera, Namiq Q. Shikhaliyev, Nazrin R. Zeynalli, Kamran T. Mahmudov, Armando J. L. Pombeiro|2023|Cryst.Growth Des.|23|7647|doi:10.1021/acs.cgd.3c00933
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3nks
title: CCDC 2237845: Experimental Crystal Structure Determination

description: Related Article: Atash V. Gurbanov, Rosa M. Gomila, Antonio Frontera, Namiq Q. Shikhaliyev, Nazrin R. Zeynalli, Kamran T. Mahmudov, Armando J. L. Pombeiro|2023|Cryst.Growth Des.|23|7647|doi:10.1021/acs.cgd.3c00933
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3nqy
title: CCDC 2237850: Experimental Crystal Structure Determination

description: Related Article: Atash V. Gurbanov, Rosa M. Gomila, Antonio Frontera, Namiq Q. Shikhaliyev, Nazrin R. Zeynalli, Kamran T. Mahmudov, Armando J. L. Pombeiro|2023|Cryst.Growth Des.|23|7647|doi:10.1021/acs.cgd.3c00933
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f4flm
title: CCDC 2238590: Experimental Crystal Structure Determination

description: Related Article: Atash V. Gurbanov, Rosa M. Gomila, Antonio Frontera, Namiq Q. Shikhaliyev, Nazrin R. Zeynalli, Kamran T. Mahmudov, Armando J. L. Pombeiro|2023|Cryst.Growth Des.|23|7647|doi:10.1021/acs.cgd.3c00933
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f4fmn
title: CCDC 2238591: Experimental Crystal Structure Determination

description: Related Article: Atash V. Gurbanov, Rosa M. Gomila, Antonio Frontera, Namiq Q. Shikhaliyev, Nazrin R. Zeynalli, Kamran T. Mahmudov, Armando J. L. Pombeiro|2023|Cryst.Growth Des.|23|7647|doi:10.1021/acs.cgd.3c00933
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10136285
title: Data for evaluating ecosystem protection and fragmentation of the world's major mountain regions

description: Data developed in support of the manuscript: evaluating ecosystem protection and fragmentation of the world's major mountain regions.
Major mountain regions and their file abbreviations include: Alb=Albertine Rift; Alp=Alps; And=Andes; EaR=Great Eastern Ranges; Him=Himalayas; and Y2Y: Yellowstone to Yukon.
Files:
GlobalMountain_ecosystems.zip - spatial dataset (TIFF) with unique integer values encoded as: (landform * 10000) + (biome ID * 100) + (climate region ID).
GlobalMountain_humanmod.zip -  spatial dataset (TIFF) with values ranging 0.0 (not human modified) to 1.0 (human modified).
GlobalMountain_protectedareas.zip - spatial dataset (TIFF) with integer values of 1 representing protected areas (IUCN categories I-IV).
GlobalMountain_regions.zip - spatial datasets (shapefiles) of the regions with 0, 10, and 30 km buffer.
GlobalMountain_samples.zip - tabular datasets (*.csv) of random samples within each region containing variables on: protected area, human modification, distance from ecosystem edge, ecosystem ID.
Google Earth Engine code.
DOI: 10.5281/zenodo.8339591
title: Data for evaluating ecosystem protection and fragmentation of the world's major mountain regions

description: Data developed in support of the manuscript: evaluating ecosystem protection and fragmentation of the world's major mountain regions.
Major mountain regions and their file abbreviations include: Alb=Albertine Rift; Alp=Alps; And=Andes; EaR=Great Eastern Ranges; Him=Himalayas; and Y2Y: Yellowstone to Yukon.
Files:
GlobalMountain_ecosystems.zip - spatial dataset (TIFF) with unique integer values encoded as: (landform * 10000) + (biome ID * 100) + (climate region ID).
GlobalMountain_humanmod.zip -  spatial dataset (TIFF) with values ranging 0.0 (not human modified) to 1.0 (human modified).
GlobalMountain_protectedareas.zip - spatial dataset (TIFF) with integer values of 1 representing protected areas (IUCN categories I-IV).
GlobalMountain_regions.zip - spatial datasets (shapefiles) of the regions with 0, 10, and 30 km buffer.
GlobalMountain_samples.zip - tabular datasets (*.csv) of random samples within each region containing variables on: protected area, human modification, distance from ecosystem edge, ecosystem ID.
Google Earth Engine code.
DOI: 10.5281/zenodo.8339592
title: Data for evaluating ecosystem protection and fragmentation of the world's major mountain regions

description: Data developed in support of the manuscript: evaluating ecosystem protection and fragmentation of the world’s major mountain regions. Major mountain regions and their file abbreviations include: Alb=Albertine Rift; Alp=Alps; And=Andes; EaR=Great Eastern Ranges; Him=Himalayas; and Y2Y: Yellowstone to Yukon. Files: GlobalMountain_ecosystems.zip - spatial dataset (TIFF) with unique integer values encoded as: (landform * 10000) + (biome ID * 100) + (climate region ID). GlobalMountain_humanmod.zip - spatial dataset (TIFF) with values ranging 0.0 (not human modified) to 1.0 (human modified). GlobalMountain_protectedareas.zip - spatial dataset (TIFF) with integer values of 1 representing protected areas (IUCN categories I-IV). GlobalMountain_regions.zip - spatial datasets (shapefiles) of the regions with 0, 10, and 30 km buffer. GlobalMountain_samples.zip - tabular datasets (*.csv) of random samples within each region containing variables on: protected area, human modification, distance from ecosystem edge, ecosystem ID,