cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/5aj-dvl-20r
title: Spiroloculina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h4y-5h2-a16
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dc2-wed-8ar
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tvx-3g6-cd0
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3dh-zrf-3ne
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3hg-g84-pwv
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cc6-7pa-zgm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f48-3ln-xsq
title: †Gaudryina faujasi (Reuss, 1862)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q7l-rqd-7za
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f1l-940-nxa
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/khd-anc-j85
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qbw-pfs-4cf
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r0m-v58-htr
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/633-y3a-3l7
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15156/bio/sh1483864.10fu
title: SH1483864.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1483882.10fu
title: SH1483882.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.oxmlph
title: Occurrence Download

description: A dataset containing 385123191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "LastInterpreted 1980-01-01-2016-08-09",
 "Year is greater than or equal to 1980",
 {
 "or" : [
 "TaxonKey is Aves",
 "TaxonKey is Amphibia",
 "TaxonKey is Mammalia",
 "TaxonKey is Reptilia",
 "TaxonKey is Plantae"
 ]
 },
 "HasCoordinate is true"
 ]
}

 The dataset includes 385123191 records from 3297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001864-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgnv75
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gastropoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 -80,160 -80,160 -70,150 -70,150 -80))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019583-251009101135966/datasets/export for details.
DOI: 10.15468/dl.wq4bdp
title: Occurrence Download

description: A dataset containing 10074 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ipomoea hederacea"
 ]
}

 The dataset includes 10074 records from 364 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019578-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxnmu4
title: Occurrence Download

description: A dataset containing 219885 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Heracleum mantegazzianum)"
 ]
}

 The dataset includes 219885 records from 522 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019547-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/3ye4sq
title: Coastal Biodiversity Monitoring in the Eastern Shore Islands Area of Interest using Environmental DNA - 2024

description: In this project we conduct seasonal beach seining and eDNA sampling in the Eastern Shore Islands, a coastal "area of interest", and outside reference sites in Nova Scotia, Canada. The records contained here include eDNA metabarcoding results from the 12S (targeting fish) and COI (targeting general biodiversity) markers. At each of five coastal sampling stations we conduct beach seining to catch and measure fish, and collect water samples for eDNA metabarcoding. Beach seining and eDNA can complement one another, since neither method will capture every species found at the sampling sites on their own. All samples in this resource were collected in 2024.
DOI: 10.15468/dl.sx5yev
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is The occurrence, distribution and biology of invasive fish species in fresh and brackish water bodies of NE Morocco"
 ]
}

 The dataset's 3 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002307-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5zg6gm9h
title: MassIVE MSV000100997 - Targeting nuclear export and translation initiation uncovers synergistic antitumor activity in lethal prostate cancer.
title: Metastatic castration-resistant prostate cancer (mCRPC) remains lethal as adaptive resistance to standard of care therapy develops, often driven by AR splice variants alongside transcriptional and translational reprogramming. To identify strategies capable of overcoming these mechanisms, we performed an unbiased high-throughput screen of 2,480 mechanistically annotated compounds across advanced prostate cancer models. Exportin-1 (XPO1)-mediated nuclear export emerged as a critical dependency, and matrix-based combination screening uncovered robust synergy between inhibitors of XPO1 and the translation initiation factor EIF4A1. Dual inhibition induced coordinated disruption of oncogenic protein networks, including AR/AR-V7 and MYC, triggering rapid apoptosis and suppressing cell-cycle and metabolic programs. These effects extended to genetically diverse patient-derived organoids and in vivo xenografts at doses well below established tolerability limits. Together, these findings reveal concurrent control of nuclear export and protein translation as a therapeutic vulnerability in mCRPC, providing a strong rationale for clinical evaluation of XPO1-EIF4A1 co-inhibition to overcome AR-driven resistance.
DOI: 10.5281/zenodo.17701075
title: AquiMeEncontro questionário: As perceções das Direções de 122 Agrupamentos de Escolas Portugueses sobre políticas e práticas de inclusão de estudantes internacionais

description: O dataset “As perceções das Direções de 122 Agrupamentos de Escolas Portugueses sobre as suas políticas e práticas de inclusão de estudantes internacionais” resulta do Estudo 2 do projeto AquiMeEncontro – Aqui me Encontro e confundo com gente de todo o Mundo, desenvolvido no âmbito do concurso Science4Policy 2023 (S4P-23), uma iniciativa do PLANAPP – Centro de Planeamento e Avaliação de Políticas Públicas em parceria com a Fundação para a Ciência e a Tecnologia, I.P. (FCT), financiada pelo Plano de Recuperação e Resiliência (PRR).
DOI: 10.5281/zenodo.17701074
title: AquiMeEncontro questionário: As perceções das Direções de 122 Agrupamentos de Escolas Portugueses sobre políticas e práticas de inclusão de estudantes internacionais

description: O dataset “As perceções das Direções de 122 Agrupamentos de Escolas Portugueses sobre as suas políticas e práticas de inclusão de estudantes internacionais” resulta do Estudo 2 do projeto AquiMeEncontro – Aqui me Encontro e confundo com gente de todo o Mundo, desenvolvido no âmbito do concurso Science4Policy 2023 (S4P-23), uma iniciativa do PLANAPP – Centro de Planeamento e Avaliação de Políticas Públicas em parceria com a Fundação para a Ciência e a Tecnologia, I.P. (FCT), financiada pelo Plano de Recuperação e Resiliência (PRR).
DOI: 10.5281/zenodo.18378121
title: Imaging FlowCytobot (IFCB) time-series data from the Baltic Sea and Skagerrak

description: This dataset contains phytoplankton observations collected to investigate diel vertical migration (DVM) patterns in two distinct marine environments. A detailed description of the dataset can be found in the accompanying article ”High throughput in situ imaging reveals widely occurring diel vertical migration among phytoplankton” in ISME Communications by Karin Garefelt, Bengt Karlson, Michael L. Brosnahan, Kaisa Kraft, Anders Torstensson, Jukka Seppälä, Allan Cembella, Anders F. Andersson. 

The primary instrument used was the Imaging FlowCytobot (IFCB), which captures images of individual particles in the <10–150 µm size range. Images were classified into taxonomic groups using convolutional neural networks (ResNet18). Biomass for each image was calculated as carbon content (pg C) and converted to concentrations (µg C L⁻¹). The data was collected in two sites:



Skagerrak (Tångesund, Sweden): Data collected between August 10 and October 17, 2016. The setup involved an Imaging FlowCytobot (IFCB) mounted on a winch system that continuously profiled the water column across six depths: 3, 6, 8, 11, 13, and 16 meters.

Baltic Sea (Utö Atmospheric and Marine Research Station, Finland): Data collected from June to October in 2020 and 2021. Samples were taken from a fixed-depth intake at 4.5 meters.


The dataset includes:



Phytoplankton Observations: Biomass concentrations for various morpho-taxonomic groups, including dinoflagellates, diatoms, ciliates, and cyanobacteria.

Nutrient Measurements (Skagerrak only): Weekly measurements of NO₂, NO₃, NH₄, PO₄, and SiO₃ at multiple depths.


This study was supported by the Swedish Research Council FORMAS (grant 2022-01515), the EU Horizon 2020 projects JERICO-NEXT (grant agreement No 654410) and JERICO-S3 (grant Agreement No 871153), and Research Council of Finland (grants No 317297 and 339355). AFA is supported by the Swedish Research Council VR (grant 2021-05563). AC was supported under Helmholtz research program “Changing Earth, Sustaining our Future” (Sub-topic 6.2 Adaptation of marine life) of the Alfred-Wegener-Institut (AWI), Helmholtz Zentrum für Polar- und Meeresforschung, Germany.
DOI: 10.5281/zenodo.18378122
title: Imaging FlowCytobot (IFCB) time-series data from the Baltic Sea and Skagerrak

description: This dataset contains phytoplankton observations collected to investigate diel vertical migration (DVM) patterns in two distinct marine environments. A detailed description of the dataset can be found in the accompanying article ”High throughput in situ imaging reveals widely occurring diel vertical migration among phytoplankton” in ISME Communications by Karin Garefelt, Bengt Karlson, Michael L. Brosnahan, Kaisa Kraft, Anders Torstensson, Jukka Seppälä, Allan Cembella, Anders F. Andersson. 

The primary instrument used was the Imaging FlowCytobot (IFCB), which captures images of individual particles in the <10–150 µm size range. Images were classified into taxonomic groups using convolutional neural networks (ResNet18). Biomass for each image was calculated as carbon content (pg C) and converted to concentrations (µg C L⁻¹). The data was collected in two sites:



Skagerrak (Tångesund, Sweden): Data collected between August 10 and October 17, 2016. The setup involved an Imaging FlowCytobot (IFCB) mounted on a winch system that continuously profiled the water column across six depths: 3, 6, 8, 11, 13, and 16 meters.

Baltic Sea (Utö Atmospheric and Marine Research Station, Finland): Data collected from June to October in 2020 and 2021. Samples were taken from a fixed-depth intake at 4.5 meters.


The dataset includes:



Phytoplankton Observations: Biomass concentrations for various morpho-taxonomic groups, including dinoflagellates, diatoms, ciliates, and cyanobacteria.

Nutrient Measurements (Skagerrak only): Weekly measurements of NO₂, NO₃, NH₄, PO₄, and SiO₃ at multiple depths.


This study was supported by the Swedish Research Council FORMAS (grant 2022-01515), the EU Horizon 2020 projects JERICO-NEXT (grant agreement No 654410) and JERICO-S3 (grant Agreement No 871153), and Research Council of Finland (grants No 317297 and 339355). AFA is supported by the Swedish Research Council VR (grant 2021-05563). AC was supported under Helmholtz research program “Changing Earth, Sustaining our Future” (Sub-topic 6.2 Adaptation of marine life) of the Alfred-Wegener-Institut (AWI), Helmholtz Zentrum für Polar- und Meeresforschung, Germany.
DOI: 10.5281/zenodo.18740284
title: Competências digitais e igualdade de género nas práticas pedagógicas do ensino básico e secundário nos PALOP

description: Este dataset foi desenvolvido no âmbito do projeto DIGENDER2PALOP, financiado pelo Camões – Instituto da Cooperação e da Língua, I.P., em parceria com a Universidade Aberta, e enquadra-se nas políticas de cooperação para o desenvolvimento e educação para a igualdade de género.
DOI: 10.5281/zenodo.18740283
title: Competências digitais e igualdade de género nas práticas pedagógicas do ensino básico e secundário nos PALOP

description: Este dataset foi desenvolvido no âmbito do projeto DIGENDER2PALOP, financiado pelo Camões – Instituto da Cooperação e da Língua, I.P., em parceria com a Universidade Aberta, e enquadra-se nas políticas de cooperação para o desenvolvimento e educação para a igualdade de género.
DOI: 10.15468/dl.cku7am
title: Occurrence Download

description: A dataset containing 176063 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tursiops truncatus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 176063 records from 884 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002229-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.an47pq
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Liurana xizangensis"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002328-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grkhuq
title: Occurrence Download

description: A dataset containing 398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is Heterogastridae"
 ]
}

 The dataset includes 398 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002332-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gt3kf4
title: Occurrence Download

description: A dataset containing 2352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Euphrasia frigida",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2352 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002331-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8t5evs
title: Occurrence Download

description: A dataset containing 1959 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euglossa mixta"
 ]
}

 The dataset includes 1959 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002329-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfgd6u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Neolamprologus wauthioni"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002333-260226173443078/datasets/export for details.
DOI: 10.5281/zenodo.13151488
title: Supplementary material for publication "Multi-Echelon Inventory Optimization in Supply Chain Networks: Exploring Network Structures and Predictive Modeling"

description: This dataset collects different supply chain network structures generated artificially. We present four types of networks: Serial, Convergent, Divergent, and General, each type consisting of 20,000 individual instances. All 80,000 network instances generated are available to researchers and practitioners in Excel. The repository consists of separate files for each network instance, consisting of each network inventory data, node connections, and a visual representation.

V2.0 Updates

The updates to this dataset include new allocations for the mean and standard deviation of the end nodes' demands. Refer to the full article for specific details on network generation and parameter allocation.
DOI: 10.5281/zenodo.18803200
title: Supplementary material for publication "Multi-Echelon Inventory Optimization in Supply Chain Networks: Exploring Network Structures and Predictive Modeling"

description: This dataset collects different supply chain network structures generated artificially. We present four types of networks: Serial, Convergent, Divergent, and General, each type consisting of 20,000 individual instances. All 80,000 network instances generated are available to researchers and practitioners in Excel. The repository consists of separate files for each network instance, consisting of each network inventory data, node connections, and a visual representation.

V2.0 Updates

The updates to this dataset include new allocations for the mean and standard deviation of the end nodes' demands. Refer to the full article for specific details on network generation and parameter allocation.