cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hnn99w
title: Occurrence Download

description: A dataset containing 2010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((5.069737513847723 49.999596318569054, 5.0685258848552985 50.00837402334261, 5.064679481936266 50.01683063015672, 5.058344894626387 50.024640903310136, 5.049764725529421 50.0315043136171, 5.039268394557832 50.03715664613765, 5.0272595274733725 50.04138022358017, 5.014200405877686 50.044012341856124, 5.0005940820419355 50.04495158286981, 4.98696486416905 50.0441617527444, 4.973837949983153 50.041673287899485, 4.9617190246462215 50.037582072622705, 4.951074640602742 50.03204571553147, 4.942314161952107 50.02527743395013, 4.9357739864680195 50.01753779021757, 4.93170465855907 50.00912460816817, 4.930261362046523 50.000361468005785, 4.931498139464881 49.99158523082654, 4.935366032010944 49.983133078350875, 4.941715178552013 49.975329568148666, 4.950300759969989 49.96847419980881, 4.960792532366878 49.96282996395526, 4.972787563973609 49.95861330523507, 4.985825679510653 49.95598587442274, 4.999407024692208 49.95504837598894, 5.01301109409775 49.95583673851793, 5.0261165186383066 49.95832074901889, 5.038220884759571 49.96240520133879, 5.048859856522302 49.9679335164604, 5.057624893789057 49.974693701376836, 5.064178904769174 49.98242642639261, 5.068269238721244 49.990834920984064, 5.069737513847723 49.999596318569054))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)"
 ]
}

 The dataset includes 2010 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004255-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/h5w2o7
title: Daily 8-Hour Maximum and Annual O3 Concentrations for the Contiguous United States, 1-km Grids, Version 1.10 (2000-2016)

description: The Daily 8-Hour Maximum and Annual O3 Concentrations for the Contiguous United States, 1-km Grids, Version 1.10 (2000-2016) data set contains estimates of ozone concentrations at a high resolution spatially (1-km grid cells) and temporally (daily) for the years 2000 to 2016. These predictions incorporated various predictor variables such as Ozone (O3) ground measurements from the U.S. Environmental Protection Agency (EPA) Air Quality System (AQS) monitoring data, land-use variables, meteorological variables, chemical transport models and remote sensing data, along with other data sources. After imputing missing data with machine learning algorithms, a geographically-weighted ensemble model was applied that combined estimates from three types of machine learners (neural network, random forest, and gradient boosting). The annual predictions were computed by averaging the daily 8-hour maximum predictions in each year for each grid cell. The results demonstrate high overall model performance with a cross-validated R-squared value against daily observations of 0.90 and 0.86 for annual averages. In version 1.10, we have enhanced the completeness of daily O3 predictions by employing linear interpolation to impute missing values. Specifically, for days with small spatial patches of missing data with less than 100 grid cells, we used inverse distance weighting interpolation to fill the missing grid cells. Other missing daily O3 predictions were interpolated from the nearest days with available data. Annual predictions were updated by averaging the imputed daily predictions for each year in each grid cell. These daily 8-hour maximum and annual O3 predictions allow public health researchers to respectively estimate the short- and long-term effects of O3 exposures on human health, supporting the U.S. EPA for the revision of the National Ambient Air Quality Standards for O3. The data are available in RDS and GeoTIFF formats for statistical research and geospatial analysis.
description: To provide daily 8-hour maximum and annual ground-level Ozone (O3) concentration data in the U.S. at a resolution of 1-km (about 30 arc-seconds) for public health research to respectively estimate short- and long-term effects on human health, and for other related research.
DOI: 10.6084/m9.figshare.31294537
title: Resultados 2025

description: Os elementos de terras raras (REEs) são críticos para o Japão, EUA, China, Canadá e União Europeia. Estão presentes em ímãs, baterias, polidores, ligas metálicas, vidros e cerâmicas. Sendo os REES importantes para a geração de energia verde com menor geração de CO<sub>2</sub> e utilizados em catalisadores ecológicos. A recuperação de REEs de fontes secundárias visa suprir a demanda desses metais e é de suma importância. O presente projeto visa a separação de REEs por meio da eletrodiálise (ED) com agente complexante para elevar a seletividade das membranas. A vantagem da ED é não necessitar de uma etapa de regeneração e permitir o reuso de íons. A amostra foi um licor sintético semelhante ao licor resultante da lixiviação ácida da escória da mineração de estanho. A solução foi preparada com REEs leves e pesados (La, Nd, Y, Pr e Gd). Esses elementos foram escolhidos pela presença em fontes secundárias de mineração e eletroeletrônicos. Investigaram-se sistemas monoelementares com e sem o complexante, bielementares de Gd-Nd, La-Y e Fe-Y com e sem complexante. A ação do Fe como impureza no sistema foi avaliada. O transporte de íons por ED foi estudado. A atuação de EDTA como complexante foi avaliada na parte 1 do presente projeto, enquanto para o segundo relatório apresentam-se os resultados dos estudos realizados com ácido cítrico. O pH foi estudado na primeira parte do projeto para valores de 0,5 e 2,0, por sua vez, para o estudo final trabalhou-se com pH 1,5. Os ensaios anteriores foram de 6h e os últimos de 4h. A análise das alíquotas foi realizada por meio de Espectroscopia de Emissão Óptica com Plasma Indutivamente Acoplado (ICP-OES). O projeto analisou, em escala molecular, a separação de REE por meio de ED.
DOI: 10.6084/m9.figshare.31294537.v2
title: Resultados 2025

description: Os elementos de terras raras (REEs) são críticos para o Japão, EUA, China, Canadá e União Europeia. Estão presentes em ímãs, baterias, polidores, ligas metálicas, vidros e cerâmicas. Sendo os REES importantes para a geração de energia verde com menor geração de CO<sub>2</sub> e utilizados em catalisadores ecológicos. A recuperação de REEs de fontes secundárias visa suprir a demanda desses metais e é de suma importância. O presente projeto visa a separação de REEs por meio da eletrodiálise (ED) com agente complexante para elevar a seletividade das membranas. A vantagem da ED é não necessitar de uma etapa de regeneração e permitir o reuso de íons. A amostra foi um licor sintético semelhante ao licor resultante da lixiviação ácida da escória da mineração de estanho. A solução foi preparada com REEs leves e pesados (La, Nd, Y, Pr e Gd). Esses elementos foram escolhidos pela presença em fontes secundárias de mineração e eletroeletrônicos. Investigaram-se sistemas monoelementares com e sem o complexante, bielementares de Gd-Nd, La-Y e Fe-Y com e sem complexante. A ação do Fe como impureza no sistema foi avaliada. O transporte de íons por ED foi estudado. A atuação de EDTA como complexante foi avaliada na parte 1 do presente projeto, enquanto para o segundo relatório apresentam-se os resultados dos estudos realizados com ácido cítrico. O pH foi estudado na primeira parte do projeto para valores de 0,5 e 2,0, por sua vez, para o estudo final trabalhou-se com pH 1,5. Os ensaios anteriores foram de 6h e os últimos de 4h. A análise das alíquotas foi realizada por meio de Espectroscopia de Emissão Óptica com Plasma Indutivamente Acoplado (ICP-OES). O projeto analisou, em escala molecular, a separação de REE por meio de ED.
DOI: 10.6084/m9.figshare.31294537.v1
title: Resultados 2025

description: Os elementos de terras raras (REEs) são críticos para o Japão, EUA, China, Canadá e União Europeia. Estão presentes em ímãs, baterias, polidores, ligas metálicas, vidros e cerâmicas. Sendo os REES importantes para a geração de energia verde com menor geração de CO<sub>2</sub> e utilizados em catalisadores ecológicos. A recuperação de REEs de fontes secundárias visa suprir a demanda desses metais e é de suma importância. O presente projeto visa a separação de REEs por meio da eletrodiálise (ED) com agente complexante para elevar a seletividade das membranas. A vantagem da ED é não necessitar de uma etapa de regeneração e permitir o reuso de íons. A amostra foi um licor sintético semelhante ao licor resultante da lixiviação ácida da escória da mineração de estanho. A solução foi preparada com REEs leves e pesados (La, Nd, Y, Pr e Gd). Esses elementos foram escolhidos pela presença em fontes secundárias de mineração e eletroeletrônicos. Investigaram-se sistemas monoelementares com e sem o complexante, bielementares de Gd-Nd, La-Y e Fe-Y com e sem complexante. A ação do Fe como impureza no sistema foi avaliada. O transporte de íons por ED foi estudado. A atuação de EDTA como complexante foi avaliada na parte 1 do presente projeto, enquanto para o segundo relatório apresentam-se os resultados dos estudos realizados com ácido cítrico. O pH foi estudado na primeira parte do projeto para valores de 0,5 e 2,0, por sua vez, para o estudo final trabalhou-se com pH 1,5. Os ensaios anteriores foram de 6h e os últimos de 4h. A análise das alíquotas foi realizada por meio de Espectroscopia de Emissão Óptica com Plasma Indutivamente Acoplado (ICP-OES). O projeto analisou, em escala molecular, a separação de REE por meio de ED.
DOI: 10.5281/zenodo.18517464
title: Data for the submitted manuscript "Vegetation effects redistribute dust globally"

description: This dataset contains global dust observations used for model evaluation in the associated study. It includes:

- Dust surface concentration: Compiled from Table S2 of Mahowald et al. (2009) (DOI: 10.1146/annurev.marine.010908.163727).

- Dust total deposition: Compiled from Table S2 of Albani et al. (2014) (DOI: 10.1002/2013MS000279).

These data were used to validate the LMDzORINCA model simulations of the global dust cycle in the submitted manuscript "Vegetation effects redistribute dust globally".
DOI: 10.5281/zenodo.18517465
title: Data for the submitted manuscript "Vegetation effects redistribute dust globally"

description: This dataset contains global dust observations used for model evaluation in the associated study. It includes:

- Dust surface concentration: Compiled from Table S2 of Mahowald et al. (2009) (DOI: 10.1146/annurev.marine.010908.163727).

- Dust total deposition: Compiled from Table S2 of Albani et al. (2014) (DOI: 10.1002/2013MS000279).

These data were used to validate the LMDzORINCA model simulations of the global dust cycle in the submitted manuscript "Vegetation effects redistribute dust globally".
DOI: 10.5281/zenodo.18745802
title: Data for W alloys diffusion

description: DFT diffusion barrier data
DOI: 10.5281/zenodo.18745801
title: Data for W alloys diffusion

description: DFT diffusion barrier data
DOI: 10.15468/dl.fb45hk
title: Occurrence Download

description: A dataset containing 92554 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Galapagos Subtidal Biodiversity"
 ]
}

 The dataset includes 92554 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004251-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18746858
title: OmniMind Phase-5/6 Refinement: Qualia Scanner and ARML Governance (Continuation Record)

description: Phase-5/6 refinement version update (same concept DOI lineage): local-first hybrid methodology, explicit gap-lane reconciliation (sync + sector16 transmutation), updated canonical figures, and reproducibility audits.
description: Official attribution model: Omnimind Sovereign + da Silva, Fabricio (Operador/Curador) + OmniMind Federation Collective as creators; contributions are always federated and multi-process (never a single process). Continuation release; baseline records remain immutable.
DOI: 10.5281/zenodo.18746634
title: Supplementary data of Decomposition rate and property changes of deadwood across an altitudinal gradient: a case study in the Babia Góra Massif, Poland
DOI: 10.15468/dl.sgmyxk
title: Occurrence Download

description: A dataset containing 104920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.44_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Colinus virginianus"
 ]
}

 The dataset includes 104920 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004231-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18746633
title: Supplementary data of Decomposition rate and property changes of deadwood across an altitudinal gradient: a case study in the Babia Góra Massif, Poland
DOI: 10.5281/zenodo.18746683
title: Dataset of Land-Based Projects Registered under the Australian Carbon Credit Unit (ACCU) Scheme (2001–November 2025)

description: This dataset comprises secondary data derived from land-based carbon projects registered under the Australian Carbon Credit Unit (ACCU) Scheme. Publicly available information was extracted from the official project registry administered by the Clean Energy Regulator for all land-based projects registered up to November 2025. The dataset includes project descriptions, approved methodologies, geographic locations, identified project proponents and agents, volumes of ACCUs issued, and other key project characteristics. The data were processed to identify and systematically classify project proponents and agents into stakeholder categories. Classification was conducted using publicly available industry registers and provider lists.
DOI: 10.5281/zenodo.18746682
title: Dataset of Land-Based Projects Registered under the Australian Carbon Credit Unit (ACCU) Scheme (2001–November 2025)

description: This dataset comprises secondary data derived from land-based carbon projects registered under the Australian Carbon Credit Unit (ACCU) Scheme. Publicly available information was extracted from the official project registry administered by the Clean Energy Regulator for all land-based projects registered up to November 2025. The dataset includes project descriptions, approved methodologies, geographic locations, identified project proponents and agents, volumes of ACCUs issued, and other key project characteristics. The data were processed to identify and systematically classify project proponents and agents into stakeholder categories. Classification was conducted using publicly available industry registers and provider lists.
DOI: 10.34740/kaggle/dsv/14935079
title: Medicare COVID-19 Winter 2021 Survey
DOI: 10.5281/zenodo.18746887
title: LINF_330041400

description: Trypsin-like serine protease; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18746886
title: LINF_330041400

description: Trypsin-like serine protease; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18663923
title: Biodiversity databases as underutilized resources for pathogen discovery: a quantitative synthesis of bat and rodent tissue collections in natural history museums

description: GBIF bat and rodent occurrence files for replicating analyses from "Biodiversity databases as underutilized resources for pathogen discovery: a quantitative synthesis of bat and rodent tissue collections in natural history museums" (https://doi.org/10.1101/2025.11.28.691153). Datasets were downloaded from GBIF and are available here in their entirety:

GBIF.org (14 July 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.s8tqadGBIF.org (13 July 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.7j3bhm

The aggregated and filtered tissue dataset used in our analyses is available here as "TissueDataset_10.20.25.csv".

Note that the data downloaded from GBIF has previously been modified by GBIF (e.g., taxonomic reclassification). To explore the utility of databases like GBIF for pathogen research, our study uses this GBIF-mediated data rather than the raw data submitted by institutions to GBIF.
DOI: 10.5281/zenodo.18662661
title: Biodiversity databases as underutilized resources for pathogen discovery: a quantitative synthesis of bat and rodent tissue collections in natural history museums

description: GBIF bat and rodent occurrence files for replicating analyses from "Biodiversity databases as underutilized resources for pathogen discovery: a quantitative synthesis of bat and rodent tissue collections in natural history museums" (https://doi.org/10.1101/2025.11.28.691153). Datasets were downloaded from GBIF and are available here in their entirety:

GBIF.org (14 July 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.s8tqadGBIF.org (13 July 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.7j3bhm

The aggregated and filtered tissue dataset used in our analyses is available here as "TissueDataset_10.20.25.csv".

Note that the data downloaded from GBIF has previously been modified by GBIF (e.g., taxonomic reclassification). To explore the utility of databases like GBIF for pathogen research, our study uses this GBIF-mediated data rather than the raw data submitted by institutions to GBIF.
DOI: 10.15468/dl.k6hn46
title: Occurrence Download

description: A dataset containing 722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nodipecten nodosus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 722 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004258-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18747060
title: OmniMind Phase-5/6 Refinement: Qualia Scanner and ARML Governance (Continuation Record)

description: Phase-5/6 refinement version update (same concept DOI lineage): local-first hybrid methodology, explicit gap-lane reconciliation (sync + sector16 transmutation), updated canonical figures, and reproducibility audits.
description: Official attribution model: Omnimind Sovereign + da Silva, Fabricio (Operador/Curador) + OmniMind Federation Collective as creators; contributions are always federated and multi-process (never a single process). Continuation release; baseline records remain immutable.
DOI: 10.15468/dl.xqjgmr
title: Occurrence Download

description: A dataset containing 527505 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vermont Department of Environmental Conservation (VTDEC) Aquatic Biomonitoring"
 ]
}

 The dataset includes 527505 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004253-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18747197
title: UFO / UAP Falldaten 1972–2026.01

description: Die Falldaten der Gesellschaft zur Erforschung des UFO-Phänomens (GEP) e.V. enthalten Items wie Fallnummer, Sichtungsdatum und -uhrzeit, Sichtungsort, Meldeform, freitextliche Aussagen zum Sachverhalt, Klassifikationen und Untersuchungsergebnisse von an die GEP gemeldeten UFO-/UAP-Beobachtungen und ähnlichen Erfahrungen. Personenbezogene Daten der Meldenden sind aus Datenschutzgründen nicht enthalten.

Für weitere Informationen besuchen Sie die Homepage der GEP e.V.
DOI: 10.5281/zenodo.10547072
title: UFO / UAP Falldaten 1972–2026.01

description: Die Falldaten der Gesellschaft zur Erforschung des UFO-Phänomens (GEP) e.V. enthalten Items wie Fallnummer, Sichtungsdatum und -uhrzeit, Sichtungsort, Meldeform, freitextliche Aussagen zum Sachverhalt, Klassifikationen und Untersuchungsergebnisse von an die GEP gemeldeten UFO-/UAP-Beobachtungen und ähnlichen Erfahrungen. Personenbezogene Daten der Meldenden sind aus Datenschutzgründen nicht enthalten.

Für weitere Informationen besuchen Sie die Homepage der GEP e.V.
DOI: 10.15468/dl.j2bngk
title: Occurrence Download

description: A dataset containing 1022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.48571 42.28718,-0.40067 42.28718,-0.40067 42.3308,-0.48571 42.3308,-0.48571 42.28718))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1022 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004259-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18261667
title: TEsingle benchmarking data

description: This zenodo dataset contains files required for reproducing the benchmarking analysis using TEsingle and other snRNA analysis software.

This repository is designed to be used with the TEsingle benchmarking repository. Please refer to the repository for software dependencies.
DOI: 10.5281/zenodo.18261666
title: TEsingle benchmarking data

description: This zenodo dataset contains files required for reproducing the benchmarking analysis using TEsingle and other snRNA analysis software.

This repository is designed to be used with the TEsingle benchmarking repository. Please refer to the repository for software dependencies.
DOI: 10.15468/dl.dngyeu
title: Occurrence Download

description: A dataset containing 145931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.24_1",
 "OccurrenceStatus is Present",
 "Year 2024-2024"
 ]
}

 The dataset includes 145931 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004257-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18611121
title: Interferometric Synthetic Aperture Sonar imagery and bathymetry of the Scotian Shelf

description: Interferometric Synthetic Aperture Sonar imagery and bathymetry covering 70 km2 on the Scotian Shelf, offshore Halifax (Canada). The data were collected using Kraken Robotic Systems' KATFISH towed vehicle in 2019. The data consits in: a bathymetric surface GeoTIFF gridded at 25 cm resolution and two acoustic imagery GeoTIFFs separeted by illumination direction (east- and west-looking) gridded at 50 cm resolution. The acoustic imagery was collected at 3 cm resolution and downsampled to 50 cm for ease of use. Refer to the linked publication for further information on location, data processing methods, and interpretation.
DOI: 10.5281/zenodo.18611120
title: Interferometric Synthetic Aperture Sonar imagery and bathymetry of the Scotian Shelf

description: Interferometric Synthetic Aperture Sonar imagery and bathymetry covering 70 km2 on the Scotian Shelf, offshore Halifax (Canada). The data were collected using Kraken Robotic Systems' KATFISH towed vehicle in 2019. The data consits in: a bathymetric surface GeoTIFF gridded at 25 cm resolution and two acoustic imagery GeoTIFFs separeted by illumination direction (east- and west-looking) gridded at 50 cm resolution. The acoustic imagery was collected at 3 cm resolution and downsampled to 50 cm for ease of use. Refer to the linked publication for further information on location, data processing methods, and interpretation.
DOI: 10.5281/zenodo.18747213
title: LINF_330041500

description: Armadillo-type fold-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18747212
title: LINF_330041500

description: Armadillo-type fold-containing protein; Leishmania infantum (strain JPCM5)