cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8277133
title: GEO-Bench: m-SA-crop-type

description: <strong>GEO-Bench: m-SA-crop-type dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to the Western Cape Department of Agriculture and the Radiant Earth Foundation (2021) and is available at: https://mlhub.earth/data/ref_south_africa_crops_competition_v1. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8277066
title: GEO-Bench: m-cashew-plantation

description: <strong>GEO-Bench: m-cashew-plantation dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Jin et al. (2021) and is available at: https://mlhub.earth/data/ts_cashew_benin. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8277065
title: GEO-Bench: m-cashew-plantation

description: <strong>GEO-Bench: m-cashew-plantation dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Jin et al. (2021) and is available at: https://mlhub.earth/data/ts_cashew_benin. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8277054
title: GEO-Bench: m-pv4ger-seg

description: <strong>GEO-Bench: m-pv4ger-seg dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Mayer et al. (2022) and is available at: https://github.com/kdmayer/3D-PV-Locator. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8277053
title: GEO-Bench: m-pv4ger-seg

description: <strong>GEO-Bench: m-pv4ger-seg dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Mayer et al. (2022) and is available at: https://github.com/kdmayer/3D-PV-Locator. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8277049
title: GEO-Bench: m-nz-cattle

description: <strong>GEO-Bench: m-nz-cattle dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Abuaiadah et al. (2022) and is available at: https://zenodo.org/record/5908869. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8277048
title: GEO-Bench: m-nz-cattle

description: <strong>GEO-Bench: m-nz-cattle dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Abuaiadah et al. (2022) and is available at: https://zenodo.org/record/5908869. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8276993
title: GEO-Bench: m-chesapeake-lancover

description: <strong>GEO-Bench: m-chesapeake-landcover dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Robinson et al. (2019) and is available at: https://mlhub.earth/data/microsoft_chesapeake. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8276992
title: GEO-Bench: m-chesapeake-lancover

description: <strong>GEO-Bench: m-chesapeake-landcover dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Robinson et al. (2019) and is available at: https://mlhub.earth/data/microsoft_chesapeake. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8276975
title: GEO-Bench: m-pv4ger

description: <strong>GEO-Bench: m-pv4ger dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Mayer et al. (2022) and is available at: https://github.com/kdmayer/3D-PV-Locator. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8276974
title: GEO-Bench: m-pv4ger

description: <strong>GEO-Bench: m-pv4ger dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Mayer et al. (2022) and is available at: https://github.com/kdmayer/3D-PV-Locator. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8276933
title: GEO-Bench: m-eurosat

description: <strong>GEO-Bench: m-eurosat dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Helber et al. (2019) and is available at: https://github.com/phelber/eurosat. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8276932
title: GEO-Bench: m-eurosat

description: <strong>GEO-Bench: m-eurosat dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Helber et al. (2019) and is available at: https://github.com/phelber/eurosat. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8276815
title: GEO-Bench: m-brick-kiln

description: <strong>GEO-Bench: m-brick-kiln dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Lee et al. (2021) and is available at: https://sustainlab-group.github.io/sustainbench/docs/datasets/sdg13/brick_kiln.html. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8276814
title: GEO-Bench: m-brick-kiln

description: <strong>GEO-Bench: m-brick-kiln dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Lee et al. (2021) and is available at: https://sustainlab-group.github.io/sustainbench/docs/datasets/sdg13/brick_kiln.html. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.7276073
title: Insights into calcium enrichment in sea spray aerosols from individual particle analysis of R/V Xuelong cruise observations over the Ross Sea, Antarctica

description: This dataset is alout a paper that entiled "<strong>Insights into calcium enrichment in sea spray aerosols from</strong> <strong>individual particle analysis</strong><strong> of R/V <em>Xuelong</em> cr</strong><strong>uise observations ov</strong><strong>er the Ross Sea, </strong><strong>Antarctica</strong>".
DOI: 10.5281/zenodo.7276072
title: Enrichment of calcium in sea spray aerosol: Insights from bulk measurements and individual particle analysis during the R/V Xuelong cruise in the summertime Ross Sea, Antarctica

description: This dataset is alout a paper that entiled "<strong>Enrichment of calcium in sea spray aerosol: Insights from bulk measurements and individual particle analysis during the R/V <em>Xuelong</em> cr</strong><strong>uise </strong><strong>in the summertime Ross Sea, </strong><strong>Antarctica</strong>".
DOI: 10.5281/zenodo.8279334
title: Enrichment of calcium in sea spray aerosol: Insights from bulk measurements and individual particle analysis during the R/V Xuelong cruise in the summertime Ross Sea, Antarctica

description: This dataset is alout a paper that entiled "<strong>Enrichment of calcium in sea spray aerosol: Insights from bulk measurements and individual particle analysis during the R/V <em>Xuelong</em> cr</strong><strong>uise </strong><strong>in the summertime Ross Sea, </strong><strong>Antarctica</strong>".
DOI: 10.5281/zenodo.8119796
title: Raw data for the article: High-throughput computational solvent screening for lignocellulosic biomass processing

description: This data set contains the raw data for the article "High-throughput computational solvent screening for lignocellulosic biomass processing" published in <em>Chemical Engineering Journal</em>, DOI: https://doi.org/10.1016/j.cej.2022.139476
description: Additional funding was granted by the Christiane Nüsslein-Volhard foundation (Germany), by the Swiss National Science Foundation (200021_182605 and CRSII5_180258), by the Swiss Competence Center for Energy Research: Biomass for a Swiss Energy Future through the Swiss Commission for Technology and Innovation Grant KTI.2014.0116, and by EPFL.
DOI: 10.5281/zenodo.8119797
title: Raw data for the article: High-throughput computational solvent screening for lignocellulosic biomass processing

description: This data set contains the raw data for the article "High-throughput computational solvent screening for lignocellulosic biomass processing" published in <em>Chemical Engineering Journal</em>, DOI: https://doi.org/10.1016/j.cej.2022.139476
description: Additional funding was granted by the Christiane Nüsslein-Volhard foundation (Germany), by the Swiss National Science Foundation (200021_182605 and CRSII5_180258), by the Swiss Competence Center for Energy Research: Biomass for a Swiss Energy Future through the Swiss Commission for Technology and Innovation Grant KTI.2014.0116, and by EPFL.
DOI: 10.5281/zenodo.8279380
title: Data and code for "Dietary carotenoid supplementation has long-term and community-wide effects on the amphibian skin microbiome"

description: Data, R code and R markdown report for the manuscript "Dietary carotenoid supplementation has long-term and community-wide effects on the amphibian skin microbiome" by Risely, A., Phillip G. Byrne, Bethany J. Hoye, and Aimee J. Silla <strong>Data</strong> frog_final.RDS = Processed phyloseq dataset of frog skin microbiome <strong>Code</strong> Frog_diet_analysis_V1.Rmd = Rmarkdown code Frog_diet_analysis_V1.html = Rmarkdown report (html version - need to download to view) Frog_diet_analysis_V1.pdf = Rmarkdown report (PDF version)
DOI: 10.5281/zenodo.8279381
title: Data and code for "Dietary carotenoid supplementation has long-term and community-wide effects on the amphibian skin microbiome"

description: Data, R code and R markdown report for the manuscript "Dietary carotenoid supplementation has long-term and community-wide effects on the amphibian skin microbiome" by Risely, A., Phillip G. Byrne, Bethany J. Hoye, and Aimee J. Silla <strong>Data</strong> frog_final.RDS = Processed phyloseq dataset of frog skin microbiome <strong>Code</strong> Frog_diet_analysis_V1.Rmd = Rmarkdown code Frog_diet_analysis_V1.html = Rmarkdown report (html version - need to download to view) Frog_diet_analysis_V1.pdf = Rmarkdown report (PDF version)
DOI: 10.5281/zenodo.8279040
title: Dataset for Nanoscale Growth Mechanisms of Gypsum: Implications for Environmental Control of Crystal Habits

description: This dataset collected here has been used in the paper "Nanoscale Growth Mechanisms of Gypsum: Implications for Environmental Control of Crystal Habits". The files are in .dat format and each one corresponds to the images indicated in the file name.
DOI: 10.5281/zenodo.8279039
title: Dataset for Nanoscale Growth Mechanisms of Gypsum: Implications for Environmental Control of Crystal Habits

description: This dataset collected here has been used in the paper "Nanoscale Growth Mechanisms of Gypsum: Implications for Environmental Control of Crystal Habits". The files are in .dat format and each one corresponds to the images indicated in the file name.
DOI: 10.5517/ccnp8g1
title: CCDC 616263: Experimental Crystal Structure Determination

description: Related Article: Wei Li, Chang-Hong Li, Ying-Qun Yang, Yun-Fei Kuang|2007|Jiegou Huaxue|26|1267|
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.cc20jphr
title: CCDC 1863084: Experimental Crystal Structure Determination

description: Related Article: Bin Tan,  Xiao-Dong Yang,  Li Sun,  Xiao-Ying Huang,  Jie Zhang|2019|Chem.-Eur.J.|25|4136|doi:10.1002/chem.201805455
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.cc2fxq7b
title: CCDC 2261922: Experimental Crystal Structure Determination

description: Related Article: Bohan Zhao, Jianwei Wang, Li Shao, Yitao Wu, Ming Li, Bin Hua, Feihe Huang|2023|Chem.Commun.|59|10432|doi:10.1039/D3CC03676F
description: Related Article: Bohan Zhao|2023|CSD Communication|||
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: 10.57745/c4yufs
title: ExomeCaptureGenotypingData.tar.gz

description: ExomeCaptureGenotypingData.tar.gz contains 3 files, Passport_data_AMS_Collection.xlsx describes accessions, peamust_AMS_annotated.vcf.gz and peamust_AMS_vcf.gz contains Exome Capture data
DOI: 10.57745/7ciqsb
title: Supplementary Figures_ PCI Journal.docx

description: Phylogenetic tree on 240-accession pea AMS collection
DOI: 10.57745/mnl6x9
title: Supplementary tables_AMS_PCI Journal.tab

description: Genetic resources description on 240-accession pea AMS collection
DOI: 10.5281/zenodo.8279283
title: Implementing the iCORAL (version 1.0) coral reef CaCO3 production module in the iLOVECLIM climate model - model outputs

description: This dataset contains the model outputs used in the figures in the paper entitled "Implementing the iCORAL (version 1.0) coral reef CaCO<sub>3</sub> production module in the iLOVECLIM climate model" submitted to GMD. For the description of the model and simulations we refer to this article. Provided files: Surface values of temperature (temp), salinity (salt), phosphate (opo4) and aragonite saturation state (omega) for: The modern period (mean of 2000-2010): <strong>temp_modern.nc</strong>, <strong>salt_modern.nc</strong>, <strong>opo4_modern.nc</strong>, <strong>omega_modern.nc</strong> The pre-industrial (PI, mean of last 100 years of the simulation): <strong>temp_PI.nc</strong>, <strong>salt_PI.nc</strong>, <strong>opo4_PI.nc</strong>, <strong>omega_PI.nc</strong> Coral location for: Imin=50 μE/m2/s: <strong>coral_location_Imin50.nc</strong> Imin=300 μE/m2/s: <strong>coral_location_Imin300.nc</strong> The values indicate: 4 = presence of corals in the model simulation (coral area less or equal to 5% of the grid cell area) but not in observations 3 = presence of corals in both model and observational data 2 = presence of corals in observational data but not in the model simulation 1 = presence of corals in the model simulation (coral area more than 5% of the grid cell area) but not in observations Global coral reef area (10<sup>3</sup> km<sup>2</sup>) and <em>I<sub>min</sub></em> (the minimum light intensity necessary for reef growth, µE m<sup>-2</sup> s<sup>-1</sup>): <strong>Total_area_vs_Imin.txt</strong> Global coral reef carbonate production (Pg CaCO<sub>3</sub> yr<sup>-1</sup>) and <em>I<sub>min</sub></em> (the minimum light intensity necessary for reef growth, µE m<sup>-2</sup> s<sup>-1</sup>): <strong>Total_prod_vs_Imin.txt</strong> Global coral reef carbonate production (Pg CaCO<sub>3</sub> yr<sup>-1</sup>) and <em>I<sub>k</sub></em> (the saturating light intensity, µE m<sup>-2</sup> s<sup>-1</sup>): <strong>Total_prod_vs_Ik.txt</strong> Global coral reef carbonate production (Pg CaCO<sub>3</sub> yr<sup>-1</sup>) and <em>g<sub>max</sub></em> (the maximum production growth): <strong>Total_prod_vs_gmax.txt</strong> Global carbonate production (Pg CaCO<sub>3</sub> yr<sup>-1</sup>) and global coral reef area (10<sup>3</sup> km<sup>2</sup>):<strong> Total_prod_vs_total_area.txt</strong> Root mean square error (RMSE, kg CaCO<sub>3</sub> m<sup>-2</sup> yr<sup>-1</sup>) between the simulations and the observational data of regional production (Perry et al., 2018) and global production (Pg CaCO<sub>3</sub> yr<sup>-1</sup>): <strong>Total_production_vs_rmse_Perry.txt</strong> Root mean square error (RMSE, kg CaCO<sub>3</sub> m<sup>-2</sup> yr<sup>-1</sup>) between the simulations and the observational data of regional production (Perry et al., 2018) and coral reef area (10<sup>3</sup> km<sup>2</sup>):<strong> Total_area_vs_rmse_Perry.txt</strong>
DOI: 10.5281/zenodo.8279282
title: Implementing the iCORAL (version 1.0) coral reef CaCO3 production module in the iLOVECLIM climate model - model outputs

description: This dataset contains the model outputs used in the figures in the paper entitled "Implementing the iCORAL (version 1.0) coral reef CaCO<sub>3</sub> production module in the iLOVECLIM climate model" submitted to GMD. For the description of the model and simulations we refer to this article. Provided files: Surface values of temperature (temp), salinity (salt), phosphate (opo4) and aragonite saturation state (omega) for: The modern period (mean of 2000-2010): <strong>temp_modern.nc</strong>, <strong>salt_modern.nc</strong>, <strong>opo4_modern.nc</strong>, <strong>omega_modern.nc</strong> The pre-industrial (PI, mean of last 100 years of the simulation): <strong>temp_PI.nc</strong>, <strong>salt_PI.nc</strong>, <strong>opo4_PI.nc</strong>, <strong>omega_PI.nc</strong> Coral location for: Imin=50 μE/m2/s: <strong>coral_location_Imin50.nc</strong> Imin=300 μE/m2/s: <strong>coral_location_Imin300.nc</strong> The values indicate: 4 = presence of corals in the model simulation (coral area less or equal to 5% of the grid cell area) but not in observations 3 = presence of corals in both model and observational data 2 = presence of corals in observational data but not in the model simulation 1 = presence of corals in the model simulation (coral area more than 5% of the grid cell area) but not in observations Global coral reef area (10<sup>3</sup> km<sup>2</sup>) and <em>I<sub>min</sub></em> (the minimum light intensity necessary for reef growth, µE m<sup>-2</sup> s<sup>-1</sup>): <strong>Total_area_vs_Imin.txt</strong> Global coral reef carbonate production (Pg CaCO<sub>3</sub> yr<sup>-1</sup>) and <em>I<sub>min</sub></em> (the minimum light intensity necessary for reef growth, µE m<sup>-2</sup> s<sup>-1</sup>): <strong>Total_prod_vs_Imin.txt</strong> Global coral reef carbonate production (Pg CaCO<sub>3</sub> yr<sup>-1</sup>) and <em>I<sub>k</sub></em> (the saturating light intensity, µE m<sup>-2</sup> s<sup>-1</sup>): <strong>Total_prod_vs_Ik.txt</strong> Global coral reef carbonate production (Pg CaCO<sub>3</sub> yr<sup>-1</sup>) and <em>g<sub>max</sub></em> (the maximum production growth): <strong>Total_prod_vs_gmax.txt</strong> Global carbonate production (Pg CaCO<sub>3</sub> yr<sup>-1</sup>) and global coral reef area (10<sup>3</sup> km<sup>2</sup>):<strong> Total_prod_vs_total_area.txt</strong> Root mean square error (RMSE, kg CaCO<sub>3</sub> m<sup>-2</sup> yr<sup>-1</sup>) between the simulations and the observational data of regional production (Perry et al., 2018) and global production (Pg CaCO<sub>3</sub> yr<sup>-1</sup>): <strong>Total_production_vs_rmse_Perry.txt</strong> Root mean square error (RMSE, kg CaCO<sub>3</sub> m<sup>-2</sup> yr<sup>-1</sup>) between the simulations and the observational data of regional production (Perry et al., 2018) and coral reef area (10<sup>3</sup> km<sup>2</sup>):<strong> Total_area_vs_rmse_Perry.txt</strong>
DOI: 10.6084/m9.figshare.24025569
title: LSDV complete genomes aligned

description: LSDV complete genomes (from GenBank, June 2023) aligned with mafft<br>clade 1 contains 64 genomes<br>Clade 2 contains 4 genomes
DOI: 10.5281/zenodo.8191814
title: H2020 ENODISE: ONERA Numerical Aeroacoustic Database of Configuration C

description: This database contains the acoustic prediction results realized by ONERA of the configuration C investigated in the framework of the European project ENODISE. In this configuration, contra-rotating propellers are investigated in static condition with and without shroud. The results presented here can be compared to the measurements carried out by von Karman Institute for Fluid Dynamics in anechoic facility ALCOVES (https://zenodo.org/record/7966211). The investigated operating point as calculated in the prediction is: Shrouded, RPM=6000, d=3cm. Unshrouded, RPM=6000, d=3cm. Predictions were obtained using the ProLB code based on a Lattice Botlzmann Method. Description of the database is proposed in the document <em>Database_ENODISE_ONERA_ConfigurationC.pdf.</em>
DOI: 10.5281/zenodo.8191815
title: H2020 ENODISE: ONERA Numerical Aeroacoustic Database of Configuration C

description: This database contains the acoustic prediction results realized by ONERA of the configuration C investigated in the framework of the European project ENODISE. In this configuration, contra-rotating propellers are investigated in static condition with and without shroud. The results presented here can be compared to the measurements carried out by von Karman Institute for Fluid Dynamics in anechoic facility ALCOVES (https://zenodo.org/record/7966211). The investigated operating point as calculated in the prediction is: Shrouded, RPM=6000, d=3cm. Unshrouded, RPM=6000, d=3cm. Predictions were obtained using the ProLB code based on a Lattice Botlzmann Method. Description of the database is proposed in the document <em>Database_ENODISE_ONERA_ConfigurationC.pdf.</em>
DOI: 10.5281/zenodo.8279387
title: agapornis_taranta_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279386
title: agapornis_taranta_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279458
title: alipiopsitta_xanthops_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279457
title: alipiopsitta_xanthops_decontaminated_FSCR.fasta.gz

description: .