cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12559605
title: Dataset: Massimo Group (MAMO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12559606
title: Dataset: Massimo Group (MAMO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.1594/pangaea.141562
title: Susceptibility of sediment core GeoB8608-5
DOI: 10.1594/pangaea.141563
title: Susceptibility of sediment core GeoB8611-2
DOI: 10.1594/pangaea.141564
title: Susceptibility of sediment core GeoB8612-3
DOI: 10.1594/pangaea.141565
title: Susceptibility of sediment core GeoB8613-6
DOI: 10.1594/pangaea.141566
title: Susceptibility of sediment core GeoB8614-3
DOI: 10.1594/pangaea.141567
title: Susceptibility of sediment core GeoB8619-3
DOI: 10.1594/pangaea.141568
title: Susceptibility of sediment core GeoB8620-3
DOI: 10.1594/pangaea.141569
title: Susceptibility of sediment core GeoB8622-7
DOI: 10.1594/pangaea.141570
title: Susceptibility of sediment core GeoB8625-2
DOI: 10.1594/pangaea.141232
title: Particle concentrations in bottom water sample M13/1_405
DOI: 10.1594/pangaea.141571
title: Susceptibility of sediment core GeoB8626-1
DOI: 10.1594/pangaea.141233
title: Particle concentrations in bottom water sample M13/1_409
DOI: 10.1594/pangaea.141572
title: Susceptibility of sediment core GeoB8627-1
DOI: 10.1594/pangaea.141234
title: Particle concentrations in bottom water sample M13/1_413
DOI: 10.1594/pangaea.141235
title: Particle concentrations in bottom water sample M13/1_425
DOI: 10.1594/pangaea.141573
title: Susceptibility of sediment core GeoB8630-9
DOI: 10.1594/pangaea.141574
title: Susceptibility of sediment core GeoB8633-5
DOI: 10.1594/pangaea.141236
title: Particle concentrations in bottom water sample M13/1_431
DOI: 10.1594/pangaea.141721
title: Electrical conductivity, porosity and density of sediment core GeoB8601-3
DOI: 10.1594/pangaea.141237
title: Particle concentrations in bottom water sample M13/1_499
DOI: 10.1594/pangaea.141238
title: Particle concentrations in bottom water sample M13/1_506
DOI: 10.1594/pangaea.141239
title: Particle concentrations in bottom water sample M17/1_384
DOI: 10.1594/pangaea.141240
title: Particle concentrations in bottom water sample M17/1_385
DOI: 10.5281/zenodo.12559607
title: Dataset: Manhattan Associates, Inc. (MANH) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12559608
title: Dataset: Manhattan Associates, Inc. (MANH) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.1594/pangaea.141241
title: Particle concentrations in bottom water sample M17/1_386
DOI: 10.1594/pangaea.141278
title: Mesozooplankton assemblage and biomass at multinet station M17/1_375
DOI: 10.1594/pangaea.141279
title: Mesozooplankton assemblage and biomass at multinet station M17/1_397
DOI: 10.1594/pangaea.141280
title: Mesozooplankton assemblage and biomass at multinet station M17/1_400
DOI: 10.1594/pangaea.141281
title: Mesozooplankton assemblage and biomass at multinet station M17/1_422
DOI: 10.1594/pangaea.141282
title: Mesozooplankton assemblage and biomass at multinet station M17/1_436
DOI: 10.1594/pangaea.141283
title: Mesozooplankton assemblage and biomass at multinet station M26/2_480-3
DOI: 10.1594/pangaea.141287
title: Mesozooplankton assemblage and biomass at multinet station VA112_2
DOI: 10.1594/pangaea.141288
title: Mesozooplankton assemblage and biomass at multinet station VA112_3
DOI: 10.1594/pangaea.141289
title: Mesozooplankton assemblage and biomass at multinet station VA112_5
DOI: 10.1594/pangaea.141300
title: Respiration and biodeposition rates of sponges in the Norwegian Sea
DOI: 10.1594/pangaea.141301
title: Total mesozooplankton abundance and biomass in the Barents Sea
DOI: 10.1594/pangaea.141811
title: Light reflectance of sediment core GeoB8601-3
DOI: 10.1594/pangaea.141813
title: Light reflectance of sediment core GeoB8603-3
DOI: 10.1594/pangaea.141814
title: Light reflectance of sediment core GeoB8604-2
DOI: 10.15468/dl.zp8xxe
title: Occurrence Download

description: A dataset listing the 18232 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Lithuania",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 18232 records were derived from 403 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001188-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.141815
title: Light reflectance of sediment core GeoB8606-6
DOI: 10.1594/pangaea.141816
title: Light reflectance of sediment core GeoB8607-1
DOI: 10.5281/zenodo.12559609
title: Dataset: WM Technology, Inc. (MAPS) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12559610
title: Dataset: WM Technology, Inc. (MAPS) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.15468/dl.y688ga
title: Occurrence Download

description: A dataset listing the 25723 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Luxembourg",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 25723 records were derived from 384 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001189-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mn2yca
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018399-250711103210423/datasets/export for details.
DOI: 10.5281/zenodo.15794253
title: Monitoreo de plantas, aves, reptiles y roedores en Isla María Cleofas en noviembre 2024 y mayo 2025

description: Monitoreos biológicos realizados en Isla María Cleofas durante dos expediciones: una en noviembre de 2024 y otra en mayo de 2025. Los datos abarcan los siguientes grupos biológicos:



Aves – Observaciones por punto de conteo, con fechas, sitios y nombres de especie.

Mamíferos (roedores) – Registros de capturas en transectos, probablemente con trampas, incluyendo sitio, fecha y número de individuos.

Reptiles – Monitoreo visual y/o de captura, con registros por sitio o transecto.

Plantas – Listados de especies observadas por parcela, con posibles datos de cobertura, abundancia o presencia/ausencia.
description: Versionamiento

Es la versión 0.1.0 porque es la versión inicial.
description: Recursos



Correo
DOI: 10.5281/zenodo.15794254
title: Monitoreo de plantas, aves, reptiles y roedores en Isla María Cleofas en noviembre 2024 y mayo 2025

description: Monitoreos biológicos realizados en Isla María Cleofas durante dos expediciones: una en noviembre de 2024 y otra en mayo de 2025. Los datos abarcan los siguientes grupos biológicos:



Aves – Observaciones por punto de conteo, con fechas, sitios y nombres de especie.

Mamíferos (roedores) – Registros de capturas en transectos, probablemente con trampas, incluyendo sitio, fecha y número de individuos.

Reptiles – Monitoreo visual y/o de captura, con registros por sitio o transecto.

Plantas – Listados de especies observadas por parcela, con posibles datos de cobertura, abundancia o presencia/ausencia.
description: Versionamiento

Es la versión 0.1.0 porque es la versión inicial.
description: Recursos



Correo
DOI: 10.15468/dl.q3y3nz
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium depressum"
 ]
}

 The dataset includes 71 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018402-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qprnfd
title: Occurrence Download

description: A dataset containing 722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 722 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018400-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ug85ex
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 103 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018401-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60831/h33d-2r72
title: Forschungsdaten der NS-Raubgut-Projekte der Herzog August Bibliothek
DOI: 10.5281/zenodo.15923958
title: QGIS 3.x dataset

description: Licença de Uso – Livro "Explorando o QGIS 3.X"O livro eletrônico Explorando o QGIS 3.X, de Ana Paula Dalla Corte [et al.], está disponível para acesso integral e gratuito, através do GITHUB (https://github.com/anacorte/LIVROQGIS2020/) e arquivos auxiliares em: em formato compactado (.zip), por meio do repositório Zenodo:🔗 https://zenodo.org/records/15923958

Condições de uso:Este material pode ser utilizado exclusivamente para fins educacionais, sem fins lucrativos.É expressamente proibido o uso comercial total ou parcial do conteúdo, sem a prévia autorização por escrito dos(as) autores(as).

Ao utilizar este material, é obrigatória a citação completa, conforme indicado na ficha catalográfica:

Dalla Corte, Ana Paula. Explorando o QGIS 3.X [livro eletrônico] / Ana Paula Dalla Corte...[et al.]. – Curitiba: Ed. dos Autores, 2020. PDF.Outros autores: Carlos Alberto Silva, Carlos Roberto Sanquetta, Franciel E. Rex, Iasmin Fernanda Portela Pfutz, Rodrigo de Campos Macedo.ISBN 978-65-00-10481-3.
DOI: 10.5281/zenodo.15923957
title: QGIS 3.x dataset

description: Licença de Uso – Livro "Explorando o QGIS 3.X"O livro eletrônico Explorando o QGIS 3.X, de Ana Paula Dalla Corte [et al.], está disponível para acesso integral e gratuito, através do GITHUB (https://github.com/anacorte/LIVROQGIS2020/) e arquivos auxiliares em: em formato compactado (.zip), por meio do repositório Zenodo:🔗 https://zenodo.org/records/15923958

Condições de uso:Este material pode ser utilizado exclusivamente para fins educacionais, sem fins lucrativos.É expressamente proibido o uso comercial total ou parcial do conteúdo, sem a prévia autorização por escrito dos(as) autores(as).

Ao utilizar este material, é obrigatória a citação completa, conforme indicado na ficha catalográfica:

Dalla Corte, Ana Paula. Explorando o QGIS 3.X [livro eletrônico] / Ana Paula Dalla Corte...[et al.]. – Curitiba: Ed. dos Autores, 2020. PDF.Outros autores: Carlos Alberto Silva, Carlos Roberto Sanquetta, Franciel E. Rex, Iasmin Fernanda Portela Pfutz, Rodrigo de Campos Macedo.ISBN 978-65-00-10481-3.
DOI: 10.15468/dl.wse8pu
title: Occurrence Download

description: A dataset containing 95523 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Dacelo tyro, Dacelo rex, Dacelo leachii, Dacelo gaudichaud, Cittura sanghirensis, Cittura cyanotis)"
 ]
}

 The dataset includes 95523 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018307-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3urjuk
title: Occurrence Download

description: A dataset containing 1755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactylorhiza viridis",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1755 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018405-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55svbf
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cassia occidentalis",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 362 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018406-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15754597
title: IggyTop: a unified prior knowledge resource for immunoreceptor-epitope interactions with automated data integration

description: Immune system diversity has been extensively studied for years, generating vast amounts of data distributed across numerous repositories. A significant portion of this research focuses on the specificity of different immunoreceptors. This specificity information serves as valuable prior knowledge for analyzing patient immunoreceptor sequencing data, where matching epitopes can provide insights into the pathogens affecting the patient or serve as potential treatment targets.

The larger the prior knowledge pool, the higher the probability of finding a matching epitope for a given sequence. Several existing resources collect immunoreceptor-epitope interaction data; however, they have distinct limitations: different research focuses (e.g., cancer versus pathogens), targeting of specific immunoreceptor types (e.g., T cell receptors only), and reliance on manual curation and updates. To increase coverage in receptor-epitope matching, we developed IggyTop, a unified resource containing immunoreceptor-epitope pairing combinations from existing databases: IEDB, VDJdb, McPAS-TCR, CEDAR, TRAIT, NeoTCR, and TCR3d.

IggyTop is open source, and the modular architecture of the underlying BioCypher framework enables seamless integration of additional databases without requiring modifications to existing components, providing flexibility for future expansion. The resource is automatically rebuilt regularly and harmonizes data on-the-fly, ensuring that updates from different databases are automatically integrated into the resource.

IggyTop is stored as a JSON file containing a list of AIRR cells as defined in scirpy, where each cell is an awkward array holding information about chain(s) and matching epitopes.
DOI: 10.5281/zenodo.15754598
title: IggyTop: a unified prior knowledge resource for immunoreceptor-epitope interactions with automated data integration

description: Immune system diversity has been extensively studied for years, generating vast amounts of data distributed across numerous repositories. A significant portion of this research focuses on the specificity of different immunoreceptors. This specificity information serves as valuable prior knowledge for analyzing patient immunoreceptor sequencing data, where matching epitopes can provide insights into the pathogens affecting the patient or serve as potential treatment targets.

The larger the prior knowledge pool, the higher the probability of finding a matching epitope for a given sequence. Several existing resources collect immunoreceptor-epitope interaction data; however, they have distinct limitations: different research focuses (e.g., cancer versus pathogens), targeting of specific immunoreceptor types (e.g., T cell receptors only), and reliance on manual curation and updates. To increase coverage in receptor-epitope matching, we developed IggyTop, a unified resource containing immunoreceptor-epitope pairing combinations from existing databases: IEDB, VDJdb, McPAS-TCR, CEDAR, TRAIT, NeoTCR, and TCR3d.

IggyTop is open source, and the modular architecture of the underlying BioCypher framework enables seamless integration of additional databases without requiring modifications to existing components, providing flexibility for future expansion. The resource is automatically rebuilt regularly and harmonizes data on-the-fly, ensuring that updates from different databases are automatically integrated into the resource.

IggyTop is stored as a JSON file containing a list of AIRR cells as defined in scirpy, where each cell is an awkward array holding information about chain(s) and matching epitopes.
DOI: 10.15468/dl.ae2qvy
title: Occurrence Download

description: A dataset containing 155431 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carduus crispus"
 ]
}

 The dataset includes 155431 records from 994 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018288-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfpwvf
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Triatoma melanocephala"
 ]
}

 The dataset includes 161 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018410-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qw3fhk
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mastacembelus liberiensis"
 ]
}

 The dataset includes 162 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018408-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9s935h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus benghalensis",
 "Country is Lao People’s Democratic Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018409-250711103210423/datasets/export for details.
DOI: 10.15468/dl.u92u4q
title: Occurrence Download

description: A dataset containing 10000 records in GBIF matching the query:

 SELECT gbifid, taxonkey, scientificname,
 decimallatitude, decimallongitude,
 'year', 'month'
 FROM occurrence 
 WHERE hasGeospatialIssues = false 
 AND hasCoordinate = true
 AND countryCode = 'DE'
 AND taxonKey = 2481912
 LIMIT 10000
 

 The dataset's 10000 records were derived from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018385-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98kh32
title: Occurrence Download

description: A dataset containing 27587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Micropyropsis, Schedonorus, Schenodorus, Schoenodorus, Festuca nigrescens, Festuca adfinita, Festuca alpivaga, Festuca amethystea, Festuca amethystea, Festuca caespititia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 27587 records from 362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018404-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jj3v73
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardamine graeca",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009502-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18668617
title: The Role of Matrix Algebra on Enhancing the Wildlife Ecosys-tem Resilience-A Systematic Literature Review

description: Python codes for visualization synthesis
DOI: 10.5281/zenodo.18668618
title: The Role of Matrix Algebra on Enhancing the Wildlife Ecosys-tem Resilience-A Systematic Literature Review

description: Python codes for visualization synthesis
DOI: 10.5517/cc68kss
title: CCDC 186985: Experimental Crystal Structure Determination

description: Related Article: S.Hanessian, M.Bayrakdarian, Xuehong Luo|2002|J.Am.Chem.Soc.|124|4716|doi:10.1021/ja0126226
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.