cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/whit-c170-104229
title: Christmas groups, Los Angeles, Calif., 1940

description: 15 photographs of models engaged in USA Christmas traditions, Los Angeles, California, 1940 October 12. The activities include: carrying gifts, decorating a Christmas tree, putting gifts under the tree, children holding their new toys and opening gifts, and looking through a wreath.
DOI: 10.15468/dl.fnofra
title: Occurrence Download

description: A dataset containing 4253379 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 4253379 records from 1252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088417-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lz9zfi
title: Occurrence Download

description: A dataset containing 959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hermetia illucens (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 959 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004463-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10991273
title: Dietmannsrieg Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.7990521
title: 5G Modem recorded data

description: This dataset was gathered from the 5G Virtual Office vertical tests and trials. The data was collected from the 5G modem and includes Signal-to-Noise Ratio (SINR) and Reference Signal Received Quality (RSRQ) values, among others. Information about the connection status was also recorded. Values from the collected KPIs are also included in this dataset
DOI: 10.5281/zenodo.7990522
title: 5G Modem recorded data

description: This dataset was gathered from the 5G Virtual Office vertical tests and trials. The data was collected from the 5G modem and includes Signal-to-Noise Ratio (SINR) and Reference Signal Received Quality (RSRQ) values, among others. Information about the connection status was also recorded. Values from the collected KPIs are also included in this dataset
DOI: 10.15468/dl.zbefd2
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium candelabrum Griseb."
 ]
}

 The dataset includes 284 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138135-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10991443
title: Table Raw Internal Communication Happiness Management
DOI: 10.15468/dl.6jhcbz
title: Occurrence Download

description: A dataset containing 50720 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The echinoderm collection (IE) of the Muséum national d'Histoire naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 50720 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008339-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnxnay
title: Occurrence Download

description: A dataset containing 689 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cortinarius caninus (Fr.) Fr."
 ]
}

 The dataset includes 689 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004463-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10991307
title: Dillenbrug Amts Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.353445
title: Occurrence Download

description: A dataset containing 1023 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium carniolicum Scop."
 ]
}

 The dataset includes 1023 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138139-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9982u
title: Occurrence Download

description: A dataset containing 37198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Trichoptera"
 ]
}

 The dataset includes 37198 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007736-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10991374
title: Hub Portraits Template
DOI: 10.5281/zenodo.10991444
title: Table Raw Internal Communication Happiness Management
DOI: 10.15468/dl.2sm5f2
title: Occurrence Download

description: A dataset containing 3936 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Citrus ×limon (L.) Osbeck"
 ]
}

 The dataset includes 3936 records from 421 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025520-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10991375
title: Hub Portraits Template
DOI: 10.15468/dl.ifs0lz
title: Occurrence Download

description: A dataset containing 372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela frenata Lichtenstein, 1831",
 "Country is Mexico"
 ]
}

 The dataset includes 372 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004463-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7483487
title: Dataset of traffic dynamics during the 2020 Glass Wildfire Evacuation

description: This dataset contains the 


This dataset has been sourced from the Performance Measurement System of the California Department of Transportation. The data has been processed, analysed, presented and summarized in the paper: Rohaert et al., ‘The analysis of traffic data of wildfire evacuation: the case study of the 2020 Glass Fire’, [Submitted for peer-review to an international journal.], 2023.


Acknowledgements


This work has been funded under award 60NANB21D118 from the National Institute of Standards and Technology (NIST), U.S. Department of Commerce.
DOI: 10.5281/zenodo.10978178
title: Texts4LOD Bibliography

description: This dataset serves as the bibliographic reference resource for a systematic literature review conducted from March 2023 to January 2024 focusing on corpora representation as Linked Open Data (LOD). During the review, all identified works were stored in a dedicated Zotero library, later extracted in RDF format and included in this dataset. The initially private Zotero library, intended as a working tool, has been exported and made available online for reference and reproducibility of the mentioned systematic literature review. Bibliographic entries are stored in different folders and classified into relevant and not-relevant works, with tags used for classification and analysis maintained in the RDF export (see README for detailed information). The dataset provides essential bibliographic references and initial findings of the systematic literature review, offering insights into challenges and advancements in publishing linguistic data as LOD, particularly ancient language corpora, on the Semantic Web.

 

This work was carried out in the context of the Project of National Interest "Languages and Cultures of Ancient Italy. Historical Linguistics and Digital Models" (PRIN 2017XJLE8J) funded by the Italian Ministry for Universities and Research (MUR).
DOI: 10.5281/zenodo.10978179
title: Texts4LOD Bibliography

description: This dataset serves as the bibliographic reference resource for a systematic literature review conducted from March 2023 to January 2024 focusing on corpora representation as Linked Open Data (LOD). During the review, all identified works were stored in a dedicated Zotero library, later extracted in RDF format and included in this dataset. The initially private Zotero library, intended as a working tool, has been exported and made available online for reference and reproducibility of the mentioned systematic literature review. Bibliographic entries are stored in different folders and classified into relevant and not-relevant works, with tags used for classification and analysis maintained in the RDF export (see README for detailed information). The dataset provides essential bibliographic references and initial findings of the systematic literature review, offering insights into challenges and advancements in publishing linguistic data as LOD, particularly ancient language corpora, on the Semantic Web.

 

This work was carried out in the context of the Project of National Interest "Languages and Cultures of Ancient Italy. Historical Linguistics and Digital Models" (PRIN 2017XJLE8J) funded by the Italian Ministry for Universities and Research (MUR).
DOI: 10.5281/zenodo.7410113
title: Dataset of traffic dynamics during the 2019 Kincade Wildfire Evacuation

description: This dataset has been sourced from the Performance Measurement System of the California Department of Transportation. The data has been processed, analysed, presented and summarized in the paper: Rohaert et al., ‘Traffic dynamics during the 2019 Kincade wildfire evacuation’, [Submitted for peer-review to an international journal.], 2022.


CRediT author statement


Arthur Rohaert: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing - original draft, Writing - review & editing. Erica D. Kuligowski: Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Validation, Writing - review & editing. Adam Ardinge: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Validation, Writing - review & editing. Jonathan Wahlqvist: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Supervision, Validation, Writing - review & editing. Steven M.V. Gwynne: Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Validation, Writing - review & editing. Amanda Kimball: Conceptualization, Funding acquisition, Investigation, Methodology, Project Administration, Resources, Supervision, Validation, Writing - review & editing. Noureddine Bénichou: Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Validation, Writing - review & editing. Enrico Ronchi: Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Supervision, Validation, Writing - original draft, Writing - review & editing


Acknowledgements


This work has been funded under award 60NANB20D191 from the National Institute of Standards and Technology (NIST), U.S. Department of Commerce. The authors would like to thank the WUI-NITY team (Guillermo Rein, Nikolaos Kalogeropoulos, Harry Mitchell, Max Kinateder, Maxime Berthiaume). The authors also acknowledge the technical panel of the project for their support and guidance: Carole Adam, Amy Christianson, Tom Cova, Lauren Folk, Abishek Gaur, Paolo Intini, Justice Jones, Bryan Klein, Chris Lautenberger, Ruggiero Lovreglio, Jerry McAdams, Ruddy Mell, Elise Miller-Hooks, Cathy Stephens, Steve Taylor, Sandra Vaiciulyte, Xilei Zhao, Rita Fahy, Lucian Deaton, and Michele Steinberg.
DOI: 10.5281/zenodo.7483486
title: Dataset of traffic dynamics during the 2020 Glass Wildfire Evacuation

description: This dataset contains the 


This dataset has been sourced from the Performance Measurement System of the California Department of Transportation. The data has been processed, analysed, presented and summarized in the paper: Rohaert et al., ‘The analysis of traffic data of wildfire evacuation: the case study of the 2020 Glass Fire’, [Submitted for peer-review to an international journal.], 2023.


Acknowledgements


This work has been funded under award 60NANB21D118 from the National Institute of Standards and Technology (NIST), U.S. Department of Commerce.
DOI: 10.26207/x8qe-xp35
title: Data and Code for "Modeling Water and Sediment Transport in Arctic River Deltas to Estimate Fluxes to the Coast"
DOI: 10.5281/zenodo.7410114
title: Dataset of traffic dynamics during the 2019 Kincade Wildfire Evacuation

description: This dataset has been sourced from the Performance Measurement System of the California Department of Transportation. The data has been processed, analysed, presented and summarized in the paper: Rohaert et al., ‘Traffic dynamics during the 2019 Kincade wildfire evacuation’, [Submitted for peer-review to an international journal.], 2022.


CRediT author statement


Arthur Rohaert: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing - original draft, Writing - review & editing. Erica D. Kuligowski: Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Validation, Writing - review & editing. Adam Ardinge: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Validation, Writing - review & editing. Jonathan Wahlqvist: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Supervision, Validation, Writing - review & editing. Steven M.V. Gwynne: Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Validation, Writing - review & editing. Amanda Kimball: Conceptualization, Funding acquisition, Investigation, Methodology, Project Administration, Resources, Supervision, Validation, Writing - review & editing. Noureddine Bénichou: Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Validation, Writing - review & editing. Enrico Ronchi: Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Supervision, Validation, Writing - original draft, Writing - review & editing


Acknowledgements


This work has been funded under award 60NANB20D191 from the National Institute of Standards and Technology (NIST), U.S. Department of Commerce. The authors would like to thank the WUI-NITY team (Guillermo Rein, Nikolaos Kalogeropoulos, Harry Mitchell, Max Kinateder, Maxime Berthiaume). The authors also acknowledge the technical panel of the project for their support and guidance: Carole Adam, Amy Christianson, Tom Cova, Lauren Folk, Abishek Gaur, Paolo Intini, Justice Jones, Bryan Klein, Chris Lautenberger, Ruggiero Lovreglio, Jerry McAdams, Ruddy Mell, Elise Miller-Hooks, Cathy Stephens, Steve Taylor, Sandra Vaiciulyte, Xilei Zhao, Rita Fahy, Lucian Deaton, and Michele Steinberg.
DOI: 10.15468/dl.by953e
title: Occurrence Download

description: A dataset containing 6377336 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "GadmGid is BHR",
 "GadmGid is CYP",
 "GadmGid is IRN",
 "GadmGid is IRQ",
 "GadmGid is ISR",
 "GadmGid is JOR",
 "GadmGid is KWT",
 "GadmGid is LBN.5_1",
 "GadmGid is OMN",
 "GadmGid is QAT",
 "GadmGid is SAU",
 "GadmGid is SYR",
 "GadmGid is TUR",
 "GadmGid is PSE",
 "GadmGid is ARE",
 "GadmGid is YEM"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 6377336 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018011-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhzsgx
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium chrysacanthum (Ball) Jahand."
 ]
}

 The dataset includes 58 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138155-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcquxx
title: Occurrence Download

description: A dataset containing 113964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-115.92 30.70,-115.92 32.56,-112.48 32.56,-112.48 30.70,-115.92 30.70))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 113964 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004463-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10991572
title: Nano-SMSI on Bimetallic FePt Clusters [doi: 10.1021/acs.jpcc.3c03896]

description: Raw data, meta data and corresponding lists of figures are included. [Paper doi: 10.1021/acs.jpcc.3c03896]
DOI: 10.5281/zenodo.10991573
title: Nano-SMSI on Bimetallic FePt Clusters [doi: 10.1021/acs.jpcc.3c03896]

description: Raw data, meta data and corresponding lists of figures are included. [Paper doi: 10.1021/acs.jpcc.3c03896]
DOI: 10.5281/zenodo.10148119
title: De novo transcriptome assembly of hyperaccumulating Noccaea praecox

description: Trinity de novo assembly for hyperaccumulating plant species Noccaea praecox (syn. Thlaspi praecox), Brassicaceae. The dataset includes annotations from SwissProt, Pfam, Rfam databases and information on transmembrane regions and signal peptide cleavage sites (annotated using BLAST, HMMER, infernal, tmHMM and signalP through Trinotate). Detailed information on the preprocessing, assembly, post-processing and annotations are described in the ReadMe file.

Supplementary material for Bočaj, V., Pongrac, P., Fischer, S. et al. De novo transcriptome assembly of hyperaccumulating Noccaea praecox for gene discovery. Sci Data 10, 856 (2023). https://doi.org/10.1038/s41597-023-02776-x
description: Slovenian Research Agency by core founding P1-0212
DOI: 10.5281/zenodo.8027249
title: De novo transcriptome assembly of hyperaccumulating Noccaea praecox

description: Trinity de novo assembly for hyperaccumulating plant species Noccaea praecox (syn. Thlaspi praecox), Brassicaceae. The dataset includes annotations from SwissProt, Pfam, Rfam databases and information on transmembrane regions and signal peptide cleavage sites (annotated using BLAST, HMMER, infernal, tmHMM and signalP through Trinotate). Detailed information on the preprocessing, assembly, post-processing and annotations are described in the ReadMe file.

Supplementary material for Bočaj, V., Pongrac, P., Fischer, S. et al. De novo transcriptome assembly of hyperaccumulating Noccaea praecox for gene discovery. Sci Data 10, 856 (2023). https://doi.org/10.1038/s41597-023-02776-x
description: Slovenian Research Agency by core founding P1-0212
DOI: 10.15468/dl.s5muaw
title: Occurrence Download

description: A dataset containing 3859 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silene ciliata Pourr."
 ]
}

 The dataset includes 3859 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007728-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxkpwh
title: Occurrence Download

description: A dataset containing 12351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bangladesh",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acridotheres tristis (Linnaeus, 1766)"
 ]
}

 The dataset includes 12351 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031988-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvapik
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is LSG \"Großes Bruch\""
 ]
}

 The dataset includes 65 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004463-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10973096
title: Noccaea root and soil metagenomes

description: Datasets comprise metagenomic data of hyperaccumulating Noccaea praecox and N. caerulescens from bulk soil, rhizosphere, and root compartments.
DOI: 10.5281/zenodo.10973097
title: Noccaea root and soil metagenomes

description: Datasets comprise metagenomic data of hyperaccumulating Noccaea praecox and N. caerulescens from bulk soil, rhizosphere, and root compartments.
DOI: 10.15468/dl.9ryn65
title: Occurrence Download

description: A dataset containing 17377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is BRA",
 "TaxonKey is Falco sparverius Linnaeus, 1758"
 ]
}

 The dataset includes 17377 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047618-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdm5hc
title: Occurrence Download

description: A dataset containing 9285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Linepithema humile (Mayr, 1868)"
 ]
}

 The dataset includes 9285 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018053-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.