cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30040576.v1
title: A comparative study on emotional maturity among college students of Jalgaon district.

description: This study aimed to investigate the relationship between girls and boys on Emotional maturity. Emotional maturity involves an individual’s adjustment skill, knowledge about self, and strategies to control self. The Emotional Maturity Scale (Yashvir Singh & Mahesh Bhargava) is used to measure emotional maturity of participants. The sample comprised of 100 students (50 Girls and 50 Boys) from Jalgaon district. Emotional Maturity Scale by Singh and Bhargava Scales were used to collect the data. The data were analyzed by ‘t’ test. The results discovered that there is no statistically significant difference between girls and boys. It was also noticed that there is no statistically significant difference for emotional maturity between urban and rural students.
DOI: 10.15468/dl.pcc6tg
title: Occurrence Download

description: A dataset containing 965 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astilbe chinensis"
 ]
}

 The dataset includes 965 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021713-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdsfdx
title: Occurrence Download

description: A dataset containing 7348 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Butterfly Pavilion's Invertebrate Surveys"
 ]
}

 The dataset includes 7348 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021714-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcxffe
title: Occurrence Download

description: A dataset containing 443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brassica oleracea",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 443 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021715-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sd7p4j
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brassica oleracea",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 400 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021716-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gn34z
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, Pinnularia gibba, Pinnularia rostrata, Pinnularia subcapitata, Pinnularia subgibba, , Pinnularia viridiformis, , Placoneis, Placoneis dicephala, , , Planothidium, Achnanthes engelbrechtii, Planothidium frequentissimum, Pleurocapsa, Pleurosigma, Pleurosigma elongatum, Pleurosigma salinarum, Pleurotaenium, Quadrigula, , Reimeria, Reimeria uniseriata, Rhoicosphenia abbreviata, Rhoicosphenia, , Pyxidicula, Rivularia, Romeria, Roya, Scenedesmus, Scenedesmus quadricauda, Schizothrix, Scourfieldia, Scytonema, Scytonema crispum, Selenastrum, Sellaphora, Sellaphora pupula, Sellaphora seminulum, Sphaerocystis, Spirogyra reinhardii, Spirogyra, , Spirulina, Staurastrum, Staurodesmus, Stauroneis, Stauroneis anceps, , Staurosira construens, Staurosira, Fragilaria elliptica, Staurosirella pinnata, Staurosirella, Surirella, Stephanodiscus, Stephanodiscus agassizensis, Stichosiphon, Stigeoclonium, Stigeoclonium tenue, Stigonema, , Surirella brebissonii, Synechococcus, Tabellaria, Tabellaria flocculosa, Tabularia, Tabularia fasciculata, Tetraedriella, Tetraedron, Thalassiosira weissflogii, Thalassiosira, Tolypothrix, Trachelomonas, Trachelomonas intermedia, Trachelomonas volvocina, Trebouxia, Tribonema vulgare, Tribonema, Trichodesmium, Tryblionella, Tryblionella apiculata, Tryblionella calida, Tryblionella coarctata, Tryblionella hungarica, , Ulothrix, Ulothrix zonata, Zygnema, Zygnema pectinatum, Luticola, Cymbopleura, Achnanthes abundans, Aulacoseira subborealis, Botryococcus, Chlorococcum, Chroococcus minor, Euastrum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021719-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yq2nv7
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Canthyporus cooperae, Canthyporus exilis, Canthyporus fluviatilis, Canthyporus guignoti, Canthyporus guttatus, Canthyporus hottentottus, Canthyporus lateralis, Canthyporus latus, Canthyporus lowryi, Canthyporus navigator, Canthyporus nebulosus, Canthyporus parvus, Canthyporus petulans, Canthyporus planus, Canthyporus regimbarti, Canthyporus swaziensis, Canthyporus testaceus, Clypeodytes meridionalis, Clypeodytes procerus, Coelhydrus brevicollis, Coelhydrus, Copelatus amatolensis, Copelatus caffer, Copelatus edax, Copelatus ejactus, Copelatus erichsonii, Copelatus johannis, Copelatus notius, Copelatus owas, Copelatus piriensis, Copelatus platynotus, Copelatus striatellus, Copelatus striatulus, Copelatus sylvaticus, Cybister bimaculatus, Cybister guignoti, Cybister longulus, Cybister marginicollis, Cybister owas, Cybister senegalensis, Cybister vulneratus, Darwinhydrus solidus, Darwinhydrus, Derovatellus natalensis, Derovatellus, Eretes, Hydroglyphus farquharensis, Hydroglyphus, Herophydrus capensis, Herophydrus endroedyi, Herophydrus gschwendtneri, Herophydrus inquinatus, Herophydrus nigrescens, Herophydrus nodieri, Herophydrus obscurus, Herophydrus wewalkai, Herophydrus, Hydaticus bivittatus, Hydaticus caffer, Hydaticus capicola, Hydaticus dregei, Hydaticus exclamationis, Hydaticus flavolineatus, , Hydaticus intermedius, Hydaticus matruelis, Hydaticus natalensis, Hydroglyphus infirmus, Hydroglyphus lineolatus, Hydroglyphus paludivagus, Hydroglyphus transvaalensis, Hydropeplus montanus, Hydropeplus, Hydropeplus trimaculatus, Hydrovatus abraeoides, Hydrovatus, Hydrovatus amplicornis, Hydrovatus bredoi, Hydrovatus brownei, Hydrovatus contumax, Hydrovatus cribratus, Hydrovatus dentatus, Hydrovatus deserticola, Hydrovatus galpini, Hydrovatus glaber, Hydrovatus guignoti, Hydrovatus macrocerus, Hydrovatus nefandus, Hydrovatus nigricans, Hydrovatus oblongipennis, Hydrovatus oblongus, Hydrovatus obsoletus, Hydrovatus pescheti, Hydrovatus pictulus, Hydrovatus pilitibiis, Hydrovatus sobrinus, Hydrovatus validicornis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021718-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29085488
title: A global database of net primary production of terrestrial ecosystems

description: The database contains estimates for below- and aboveground production for over 400 sites, spanning all major terrestrial biomes and climate regions. The dataset contains detailed descriptions of each site as well as detailed information on measurement methodology. Furthermore, the biomass production data is supplemented with data on climate and soil conditions extracted from global databases. The database can be used for studies on regional and global scales, as well as a validation and calibration dataset for global vegetation models.
DOI: 10.6084/m9.figshare.29085488.v1
title: A global database of net primary production of terrestrial ecosystems

description: The database contains estimates for below- and aboveground production for over 400 sites, spanning all major terrestrial biomes and climate regions. The dataset contains detailed descriptions of each site as well as detailed information on measurement methodology. Furthermore, the biomass production data is supplemented with data on climate and soil conditions extracted from global databases. The database can be used for studies on regional and global scales, as well as a validation and calibration dataset for global vegetation models.
DOI: 10.6084/m9.figshare.29092865
title: A high fraction of close massive binary stars at low metallicity

description: Figures summarising the research methods and the results obtained in the paper "A high fraction of close massive binary stars at low metallicity" by Sana et al.
DOI: 10.6084/m9.figshare.29092865.v1
title: A high fraction of close massive binary stars at low metallicity

description: Figures summarising the research methods and the results obtained in the paper "A high fraction of close massive binary stars at low metallicity" by Sana et al.
DOI: 10.15468/dl.zp9q9r
title: Occurrence Download

description: A dataset containing 4736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NHMO DNA Bank Vascular plants collection",
 "TaxonKey is Rosaceae"
 ]
}

 The dataset includes 4736 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021720-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60686/t-fsd3940
title: FSD3940 Practices with Children Aged 0-2 in Foster Care: Foster Care Survey 2023
DOI: 10.6084/m9.figshare.26114665
title: Anthropogenic climate change may reduce global diazotroph diversity

description: Climate change impacts microbial community structure and function, thus altering biogeochemical cycles. Biological nitrogen fixation by diazotrophs is involved in maintaining the balance of the global nitrogen cycle, but the global biogeographic patterns of diazotrophs and their responses to climate change remain unclear. In this study, we use a dataset of 1,352 potential diazotrophs by leveraging the co-occurrence of nitrogenase genes (nifHDK) and analyse the global distribution of potential diazotrophs derived from 137,672 samples. Using the random forest model, we construct a global map of diazotroph diversity, revealing spatial variations in diversity across large scales. Feature importance shows that precipitation and temperature may act as drivers of diazotroph diversity, as these factors explain 54.2% of the variation in the global distribution of diazotroph diversity. Using projections of future climate under different shared socioeconomic pathways, we show that overall diazotroph diversity could decline by 1.5% to 3.3%, with this decline further exacerbated by development patterns that increase carbon emissions. Our findings highlight the importance of sustainable development in preserving diazotrophs.
DOI: 10.6084/m9.figshare.26114665.v1
title: Anthropogenic climate change may reduce global diazotroph diversity

description: Climate change impacts microbial community structure and function, thus altering biogeochemical cycles. Biological nitrogen fixation by diazotrophs is involved in maintaining the balance of the global nitrogen cycle, but the global biogeographic patterns of diazotrophs and their responses to climate change remain unclear. In this study, we use a dataset of 1,352 potential diazotrophs by leveraging the co-occurrence of nitrogenase genes (nifHDK) and analyse the global distribution of potential diazotrophs derived from 137,672 samples. Using the random forest model, we construct a global map of diazotroph diversity, revealing spatial variations in diversity across large scales. Feature importance shows that precipitation and temperature may act as drivers of diazotroph diversity, as these factors explain 54.2% of the variation in the global distribution of diazotroph diversity. Using projections of future climate under different shared socioeconomic pathways, we show that overall diazotroph diversity could decline by 1.5% to 3.3%, with this decline further exacerbated by development patterns that increase carbon emissions. Our findings highlight the importance of sustainable development in preserving diazotrophs.
DOI: 10.6084/m9.figshare.27985538
title: Global 1-km habitat distribution for endangered species and its spatial changes under future warming scenarios

description: The data (including tables and maps) are stored in the Dryad Open Access Repository and are publicly available at https://doi.org/10.6084/m9.figshare.2798553849. All the spatial data are stored in raster GeoTIFF format and tabular data are stored in csv format. The dataset is categorized into two main types: species scale and category scale. Initially, the data were classified into AOH maps and future change maps (folders named species scale AOH, species scale change, category scale AOH, and category scale change). Within the species scale dataset, raster values are binary [0, 1], with 1 indicating the presence of AOH. The data are organized into three levels on the basis of development pathway, year, and species category. The name formats for AOH maps is: AOH/SSPxxx/yyyy/c/s.tif, while the name formats for AOH change maps is: Change/SSPxxx/yyyy/c/s.tif. A total of 2,571 amphibian, 617 bird, 1280 mammal, and 1456 reptile species are included in the AOH and change data. In the category scale dataset, the data are organized into two levels based on the diverse warming scenarios and years (including the SSP126, SSP245, SSP370, and SSP585 scenarios for the year 2030, 2050, 2070, and 2100). The name format for species diversity maps is: AOH/xxx/yyyyy/c/xxx_yyyyy_c.tif , and the name format for species diversity change maps is: Change/xxx/yyyyy/c/xxx_yyyyy_c.tif. Species diversity was calculated by overlaying each species' AOH map, with overlapping areas summed50. For the change maps, raster values indicate the magnitude of species diversity change in a given area. Positive values indicate regions with increasing species diversity, with higher values indicating greater increases, whereas negative values reflect decreasing richness, and zero values denote no change in species diversity.
In the file name, xxx represents SSP scenarios; yyyy represents the project year; c represents species category; and s represents the species name. Additionally, we have included a separate folder containing our validation data and results. We also compiled statistics on the AOH change areas for each species category under different scenarios and time points (Supplementary Table S2), which were also summarized at the continental scale (Supplementary Table S3). Furthermore, we calculated the percentage of AOH loss for each endangered species at the species scale for future scenarios (Supplementary Table S1).
To account for potential future shifts in species ranges beyond current IUCN boundaries, we additionally provided potential AOH maps that assume ±10% range expansion and contraction. These data are organized in separate folders with consistent naming conventions, and they are intended to support sensitivity analyses or species-specific customization.
DOI: 10.6084/m9.figshare.27985538.v1
title: Global 1-km habitat distribution for endangered species and its spatial changes under future warming scenarios

description: The data (including tables and maps) are stored in the Dryad Open Access Repository and are publicly available at https://doi.org/10.6084/m9.figshare.2798553849. All the spatial data are stored in raster GeoTIFF format and tabular data are stored in csv format. The dataset is categorized into two main types: species scale and category scale. Initially, the data were classified into AOH maps and future change maps (folders named species scale AOH, species scale change, category scale AOH, and category scale change). Within the species scale dataset, raster values are binary [0, 1], with 1 indicating the presence of AOH. The data are organized into three levels on the basis of development pathway, year, and species category. The name formats for AOH maps is: AOH/SSPxxx/yyyy/c/s.tif, while the name formats for AOH change maps is: Change/SSPxxx/yyyy/c/s.tif. A total of 2,571 amphibian, 617 bird, 1280 mammal, and 1456 reptile species are included in the AOH and change data. In the category scale dataset, the data are organized into two levels based on the diverse warming scenarios and years (including the SSP126, SSP245, SSP370, and SSP585 scenarios for the year 2030, 2050, 2070, and 2100). The name format for species diversity maps is: AOH/xxx/yyyyy/c/xxx_yyyyy_c.tif , and the name format for species diversity change maps is: Change/xxx/yyyyy/c/xxx_yyyyy_c.tif. Species diversity was calculated by overlaying each species' AOH map, with overlapping areas summed50. For the change maps, raster values indicate the magnitude of species diversity change in a given area. Positive values indicate regions with increasing species diversity, with higher values indicating greater increases, whereas negative values reflect decreasing richness, and zero values denote no change in species diversity.
In the file name, xxx represents SSP scenarios; yyyy represents the project year; c represents species category; and s represents the species name. Additionally, we have included a separate folder containing our validation data and results. We also compiled statistics on the AOH change areas for each species category under different scenarios and time points (Supplementary Table S2), which were also summarized at the continental scale (Supplementary Table S3). Furthermore, we calculated the percentage of AOH loss for each endangered species at the species scale for future scenarios (Supplementary Table S1).
To account for potential future shifts in species ranges beyond current IUCN boundaries, we additionally provided potential AOH maps that assume ±10% range expansion and contraction. These data are organized in separate folders with consistent naming conventions, and they are intended to support sensitivity analyses or species-specific customization.
DOI: 10.15468/dl.gpjfhp
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is artsprosjektet_53-14_copclad"
 ]
}

 The dataset includes 475 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021721-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7jss8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senecio squalidus"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021723-250827131500795/datasets/export for details.
DOI: 10.15468/dl.vtqnfe
title: Occurrence Download

description: A dataset containing 981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euclea divinorum",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 981 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021722-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.548zjq
title: Occurrence Download

description: A dataset containing 1490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brassica oleracea",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1490 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021724-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qa4g7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brassica oleracea",
 "Country is Yemen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021725-250827131500795/datasets/export for details.
DOI: 10.7488/ds/7986
title: Videos of eMouseAtlas Models: Theiler Stage 7 (4.5-6 dpc)

description: A number of videos for each of the eMouseAtlas 3D mouse embryo models to show the overall form and in some cases selected anatomy. Each video is identified by the unique EMA ID with annotation if required. The videos labelled as "watermovies" are captured using the OPT system with the embryo spun on a longitudinal axis with no tissue clearing.