cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fa5t99
title: Occurrence Download

description: A dataset containing 103047 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alces alces (Linnaeus, 1758)"
 ]
}

 The dataset includes 103047 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067649-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chap77
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnocypris Günther, 1868"
 ]
}

 The dataset includes 45 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134374-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zum4x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinanthus ×gracilis Schur",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0416545-210914110416597/datasets/export for details.
DOI: 10.15468/dl.7jdutk
title: Occurrence Download

description: A dataset containing 1233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysanthemum ×morifolium Ramat."
 ]
}

 The dataset includes 1233 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095187-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.easj9g
title: Occurrence Download

description: A dataset containing 2413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.10_1",
 "TaxonKey is Trochilidae"
 ]
}

 The dataset includes 2413 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134406-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aueghx
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callosciurus melanogaster (Thomas, 1895)"
 ]
}

 The dataset includes 88 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0352326-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njlqtl
title: Occurrence Download

description: A dataset containing 948 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Celtis paniculata (Endl.) Planch."
 ]
}

 The dataset includes 948 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009520-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkxgcr
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is United States of America",
 "Country is Brazil",
 "Country is Mexico"
 ]
 },
 "TaxonKey is Melanoleuca dryophila Murrill"
 ]
}

 The dataset includes 173 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134408-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6kyny
title: Occurrence Download

description: A dataset containing 767 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global subterranean fishes"
 ]
}

 The dataset includes 767 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121966-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15826652
title: Survey 2023: Repository data of University of Geneva (2019-2022)

description: The University of Geneva analyzed publication data from its institutional repository (Archive ouverte UNIGE - https://archive-ouverte.unige.ch) covering the years 2019 to 2022. This analysis aims to produce absolute figures on the proportion of open and closed scientific publications authored by affiliated researchers as part of the annual survey conducted by the Swiss Open Access Monitor (Repository Monitor – https://oamonitor.ch).

The analysis covers four resource types: journal articles, books, book chapters, and conference papers. The absolute figures are derived from four annual datasets with tab-separated values, which are publicly available through Zenodo. Only basic open access status is considered, based on the availability of full text (open | closed). Publications under embargo at the time of data collection are classified as ‘Closed’.
DOI: 10.5281/zenodo.15826653
title: Survey 2023: Repository data of University of Geneva (2019-2022)

description: The University of Geneva analyzed publication data from its institutional repository (Archive ouverte UNIGE - https://archive-ouverte.unige.ch) covering the years 2019 to 2022. This analysis aims to produce absolute figures on the proportion of open and closed scientific publications authored by affiliated researchers as part of the annual survey conducted by the Swiss Open Access Monitor (Repository Monitor – https://oamonitor.ch).

The analysis covers four resource types: journal articles, books, book chapters, and conference papers. The absolute figures are derived from four annual datasets with tab-separated values, which are publicly available through Zenodo. Only basic open access status is considered, based on the availability of full text (open | closed). Publications under embargo at the time of data collection are classified as ‘Closed’.
DOI: 10.5281/zenodo.17935877
title: Surface CO₂ system observations and seasonal predictions for the Pearl River Estuary
DOI: 10.5281/zenodo.17935879
title: Surface CO₂ system observations and seasonal predictions for the Pearl River Estuary
DOI: 10.5281/zenodo.17647904
title: Survey 2023: Repository data of University of Basel (2019-2022)

description: The University Library Basel processed the metadata of publications from 2019 to 2022 in order to provide absolute figures on the open and closed shares of scientific publications by researchers affiliated with the University of Basel via the Swiss Open Access Monitor (Repository Monitor). The survey covers four types of resources: journal articles, books, book parts, and conference papers. The dataset includes publication data collected from the institutional open access repository edoc, in order to provide the absolute figures underlying the Repository Monitor survey in 2023.
DOI: 10.5281/zenodo.17647903
title: Survey 2023: Repository data of University of Basel (2019-2022)

description: The University Library Basel processed the metadata of publications from 2019 to 2022 in order to provide absolute figures on the open and closed shares of scientific publications by researchers affiliated with the University of Basel via the Swiss Open Access Monitor (Repository Monitor). The survey covers four types of resources: journal articles, books, book parts, and conference papers. The dataset includes publication data collected from the institutional open access repository edoc, in order to provide the absolute figures underlying the Repository Monitor survey in 2023.
DOI: 10.5281/zenodo.15806697
title: Survey 2023: Repository data of University of Zurich (2019-2022)

description: The University of Zurich has processed data on publications published between 2019 and 2022 from its repository ZORA to provide absolute figures on the open access status of scientific publications by affiliated authors in response to the Swiss Open Access Monitor's annual survey (Repository Monitor - https://oamonitor.ch). Four types of resource are studied: journal articles, books, parts of books and conference papers. The absolute figures are calculated from four sets of annual data in the form of .csv files. These files are uploaded to Zenodo. Advanced information on open access is provided for full text (gold, hybrid, green and closed). Publications under embargo at the time of collection are marked as ‘Closed’.
DOI: 10.5281/zenodo.15806698
title: Survey 2023: Repository data of University of Zurich (2019-2022)

description: The University of Zurich has processed data on publications published between 2019 and 2022 from its repository ZORA to provide absolute figures on the open access status of scientific publications by affiliated authors in response to the Swiss Open Access Monitor's annual survey (Repository Monitor - https://oamonitor.ch). Four types of resource are studied: journal articles, books, parts of books and conference papers. The absolute figures are calculated from four sets of annual data in the form of .csv files. These files are uploaded to Zenodo. Advanced information on open access is provided for full text (gold, hybrid, green and closed). Publications under embargo at the time of collection are marked as ‘Closed’.
DOI: 10.25345/c5bn9xg7d
title: MassIVE MSV000100218 - Enhanced Ribosome Affinity Purification Uncovers Ribosome Interactome Remodeling During Viral Infections
title: Ribosome heterogeneity can arise at multiple levels. One way is through the dynamic association of numerous non-ribosomal proteins, known as ribosome-associated proteins (RAPs), with the core ribosome. However, current methods of capturing RAPs that associate transiently and/or in small amounts with ribosomes are suboptimal. To address this issue, we developed an enhanced ribosome affinity purification (eRAP) method that enable the capture of over 500 previously unreported RAPs. Using eRAP, we investigated whether the composition of ribosomes changes during infection by two very different viruses: herpes simplex virus 1 (HSV-1) and Sindbis virus (SINV). Our results revealed that viral infection does not substantially alter the composition of core ribosomes but does drive extensive remodeling of RAPs in a virus-specific manner. Functional analyses with SINV showed that several of these RAPs are essential for viral replication. Additionally, we discovered that one such RAP, ASCC3, plays a new role in promoting the expression of secretory proteins, independently of its canonical function in the ZNF598-mediated ribosome collision pathway. Our findings establish that viral infection, by regulating ribosome composition, is a powerful model for studying the functional importance of ribosome heterogeneity.
DOI: 10.5281/zenodo.16875086
title: Survey 2023: Repository data of PSI - Paul Scherrer Institute (2019-2022)

description: Lib4RI analyzed publication data in the institutional repository of Paul Scherrer Institute (DORA PSI, https://www.dora.lib4ri.ch/psi/) covering the years 2019 to 2022. This analysis aims to produce absolute figures on the proportion of open and closed scientific publications authored by researchers affiliated with Paul Scherrer Institute as part of the annual survey 2023 conducted by the Swiss Open Access Monitor (Repository Monitor, https://oamonitor.ch/charts-data/repository-monitor/).The analysis covered four resource types: journal articles, books, book chapters, and conference papers. Only basic Open Access status is considered, based on the availability of full text (open | closed) in DORA PSI. Publications under embargo at the time of data collection are classified as closed.
DOI: 10.5281/zenodo.16875085
title: Survey 2023: Repository data of PSI - Paul Scherrer Institute (2019-2022)

description: Lib4RI analyzed publication data in the institutional repository of Paul Scherrer Institute (DORA PSI, https://www.dora.lib4ri.ch/psi/) covering the years 2019 to 2022. This analysis aims to produce absolute figures on the proportion of open and closed scientific publications authored by researchers affiliated with Paul Scherrer Institute as part of the annual survey 2023 conducted by the Swiss Open Access Monitor (Repository Monitor, https://oamonitor.ch/charts-data/repository-monitor/).The analysis covered four resource types: journal articles, books, book chapters, and conference papers. Only basic Open Access status is considered, based on the availability of full text (open | closed) in DORA PSI. Publications under embargo at the time of data collection are classified as closed.
DOI: 10.5281/zenodo.16881907
title: Survey 2023: Repository data of ZHAW Zurich University of Applied Sciences (2019-2022)

description: ZHAW Zurich University of Applied Sciences processed data of publications published 2019 to 2022 to provide the absolute figures on Open/Closed shares of scientific publications by affiliated authors via the Swiss Open Access Monitor (Repository Monitor). Four types of resources are surveyed: journal articles, books, book parts and conference papers. The dataset includes publication data collected from the institutional Open Access repository ZHAW digitalcollection underlying the reported absolute figures for the Repository monitor survey in 2023.
DOI: 10.5281/zenodo.16881908
title: Survey 2023: Repository data of ZHAW Zurich University of Applied Sciences (2019-2022)

description: ZHAW Zurich University of Applied Sciences processed data of publications published 2019 to 2022 to provide the absolute figures on Open/Closed shares of scientific publications by affiliated authors via the Swiss Open Access Monitor (Repository Monitor). Four types of resources are surveyed: journal articles, books, book parts and conference papers. The dataset includes publication data collected from the institutional Open Access repository ZHAW digitalcollection underlying the reported absolute figures for the Repository monitor survey in 2023.
DOI: 10.15468/dl.zhcpk8
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((93.97157 6.56495,95.4878 0.43463,98.12126 -3.71246,101.99164 -6.13724,103.94679 -6.96968,105.18371 -6.29591,105.94512 -5.88316,106.35641 -4.94045,106.40424 -4.17768,106.38275 -3.48329,108.25935 -3.49577,108.94325 -2.80085,108.31868 -1.98691,106.798 -0.84677,105.30448 0.10362,104.85099 0.49069,103.97329 0.58821,103.59017 0.71359,103.50658 1.08273,103.3812 1.30559,102.92842 1.5145,101.79299 2.18287,100.17691 3.21961,98.43546 4.89411,96.9378 6.10749,93.97157 6.56495))",
 "HasGeospatialIssue is false",
 "TaxonKey is Shorea sumatrana"
 ]
}

 The dataset includes 35 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053145-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16893207
title: Survey 2023: Repository data of Eawag - Swiss Federal Institute of Aquatic Science and Technology (2019-2022)

description: Lib4RI analyzed publication data in the institutional repository of the Swiss Federal Institute of Aquatic Science and Technology (DORA Eawag, https://www.dora.lib4ri.ch/eawag/) covering the years 2019 to 2022. This analysis aims to produce absolute figures on the proportion of open and closed scientific publications authored by researchers affiliated with the Swiss Federal Institute of Aquatic Science and Technology as part of the annual survey 2023 conducted by the Swiss Open Access Monitor (Repository Monitor, https://oamonitor.ch/charts-data/repository-monitor/).The analysis covered four resource types: journal articles, books, book chapters, and conference papers. Only basic Open Access status is considered, based on the availability of full text (open | closed) in DORA Eawag. Publications under embargo at the time of data collection are classified as closed.
DOI: 10.5281/zenodo.16893208
title: Survey 2023: Repository data of Eawag - Swiss Federal Institute of Aquatic Science and Technology (2019-2022)

description: Lib4RI analyzed publication data in the institutional repository of the Swiss Federal Institute of Aquatic Science and Technology (DORA Eawag, https://www.dora.lib4ri.ch/eawag/) covering the years 2019 to 2022. This analysis aims to produce absolute figures on the proportion of open and closed scientific publications authored by researchers affiliated with the Swiss Federal Institute of Aquatic Science and Technology as part of the annual survey 2023 conducted by the Swiss Open Access Monitor (Repository Monitor, https://oamonitor.ch/charts-data/repository-monitor/).The analysis covered four resource types: journal articles, books, book chapters, and conference papers. Only basic Open Access status is considered, based on the availability of full text (open | closed) in DORA Eawag. Publications under embargo at the time of data collection are classified as closed.
DOI: 10.15468/dl.w6cnkc
title: Occurrence Download

description: A dataset containing 46298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mirabilis jalapa"
 ]
}

 The dataset includes 46298 records from 789 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053146-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16894004
title: Survey 2023: Repository data of Empa - Swiss Federal Laboratories for Materials Science and Technology (2019-2022)

description: Lib4RI analyzed publication data in the institutional repository of the Swiss Federal Laboratories for Materials Science and Technology (DORA Empa, https://www.dora.lib4ri.ch/empa/) covering the years 2019 to 2022. This analysis aims to produce absolute figures on the proportion of open and closed scientific publications authored by researchers affiliated with the Swiss Federal Laboratories for Materials Science and Technology as part of the annual survey 2023 conducted by the Swiss Open Access Monitor (Repository Monitor, https://oamonitor.ch/charts-data/repository-monitor/).The analysis covered four resource types: journal articles, books, book chapters, and conference papers. Only basic Open Access status is considered, based on the availability of full text (open | closed) in DORA Empa. Publications under embargo at the time of data collection are classified as closed.
DOI: 10.5281/zenodo.16894005
title: Survey 2023: Repository data of Empa - Swiss Federal Laboratories for Materials Science and Technology (2019-2022)

description: Lib4RI analyzed publication data in the institutional repository of the Swiss Federal Laboratories for Materials Science and Technology (DORA Empa, https://www.dora.lib4ri.ch/empa/) covering the years 2019 to 2022. This analysis aims to produce absolute figures on the proportion of open and closed scientific publications authored by researchers affiliated with the Swiss Federal Laboratories for Materials Science and Technology as part of the annual survey 2023 conducted by the Swiss Open Access Monitor (Repository Monitor, https://oamonitor.ch/charts-data/repository-monitor/).The analysis covered four resource types: journal articles, books, book chapters, and conference papers. Only basic Open Access status is considered, based on the availability of full text (open | closed) in DORA Empa. Publications under embargo at the time of data collection are classified as closed.
DOI: 10.21227/myyx-dd66
title: "Graph-level Classification Datasets"

description: "This dataset package includes three benchmark datasets (Mutagenicity, BA3-motif, and MNIST-Superpixel) designed for evaluating explainability methods of Graph Neural Networks (GNNs).Mutagenicity: 4,377 molecular graphs (avg. 30.32 nodes\/30.77 edges per graph) with 14 node features, classified into mutagenic\/non-mutagenic labels, used for molecular toxicity prediction.BA3-motif: 3,000 synthetic graphs (avg. 31.44 nodes\/31.24 edges per graph) with 5 node features, constructed by attaching house\/cycle\/grid motifs to BA base graphs, providing ground-truth subgraphs for explanation validation.MNIST-Superpixel: 70,000 graphs derived from MNIST handwritten digits (avg. 66.87 nodes\/725.39 edges per graph) with 2 node features (pixel intensity + spatial location), suitable for image-related GNN explanation tasks.All datasets are split into training (80%), validation (10%), and test (10%) sets. They support evaluating key metrics of GNN explainers (e.g., prediction accuracy, fidelity, precision) and are optimized for causal inference-driven explanation methods."
DOI: 10.5281/zenodo.16876069
title: Survey 2023: Repository data of WSL - Swiss Federal Institute for Forest, Snow and Landscape Research (2019-2022)

description: Lib4RI analyzed publication data in the institutional repository of the Swiss Federal Institute for Forest, Snow and Landscape Research (DORA WSL, https://www.dora.lib4ri.ch/wsl/) covering the years 2019 to 2022. This analysis aims to produce absolute figures on the proportion of open and closed scientific publications authored by researchers affiliated with the Swiss Federal Institute for Forest, Snow and Landscape Research as part of the annual survey 2023 conducted by the Swiss Open Access Monitor (Repository Monitor, https://oamonitor.ch/charts-data/repository-monitor/).The analysis covered four resource types: journal articles, books, book chapters, and conference papers. Only basic Open Access status is considered, based on the availability of full text (open | closed) in DORA WSL. Publications under embargo at the time of data collection are classified as closed.
DOI: 10.5281/zenodo.16876068
title: Survey 2023: Repository data of WSL - Swiss Federal Institute for Forest, Snow and Landscape Research (2019-2022)

description: Lib4RI analyzed publication data in the institutional repository of the Swiss Federal Institute for Forest, Snow and Landscape Research (DORA WSL, https://www.dora.lib4ri.ch/wsl/) covering the years 2019 to 2022. This analysis aims to produce absolute figures on the proportion of open and closed scientific publications authored by researchers affiliated with the Swiss Federal Institute for Forest, Snow and Landscape Research as part of the annual survey 2023 conducted by the Swiss Open Access Monitor (Repository Monitor, https://oamonitor.ch/charts-data/repository-monitor/).The analysis covered four resource types: journal articles, books, book chapters, and conference papers. Only basic Open Access status is considered, based on the availability of full text (open | closed) in DORA WSL. Publications under embargo at the time of data collection are classified as closed.
DOI: 10.15468/dl.svfv62
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.57707 46.7097,4.58573 46.70768,4.5957 46.70294,4.59724 46.69688,4.6065 46.69226,4.61195 46.6957,4.6129 46.70424,4.62477 46.71611,4.63201 46.72845,4.62821 46.73486,4.61504 46.74732,4.60246 46.75266,4.58656 46.75254,4.57683 46.75752,4.56295 46.75764,4.5531 46.75503,4.55037 46.7542,4.54906 46.74838,4.5455 46.74067,4.54609 46.73367,4.54882 46.72691,4.55191 46.71955,4.55345 46.71729,4.57707 46.7097))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "TaxonKey is Plantae",
 "Year 2015-2025"
 ]
}

 The dataset includes 67 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053147-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.