cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9g2gb2
title: Occurrence Download

description: A dataset containing 186800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acridotheres tristis (Linnaeus, 1766)"
 ]
}

 The dataset includes 186800 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054168-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15690091
title: eurypetalum_unijugum_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.15690092
title: eurypetalum_unijugum_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.jwcrmb
title: Occurrence Download

description: A dataset containing 350190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is Global soil organisms"
 ]
}

 The dataset includes 350190 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054172-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1133069
title: Archaeological evaluation on land south of Colchester Road, White Colne, Essex, CO6 2PP

description: null
DOI: 10.5281/zenodo.15690120
title: Post-processed data: Fast and slow carbon and thermal responses to the North Atlantic Oscillation

description: The dataset contains pre-processed data generated using historical simulations from four Earth system models. The dataset has NAO-based composites of tracer anomaly timeseries, heat, carbon and nutrient budgets in the North Atlantic Ocean.
DOI: 10.5281/zenodo.3540800
title: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)

description: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study LBBG_ZEEBRUGGE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2013. In total 150 individuals of lesser black-backed gull (Larus fuscus) have been tagged in or near their breeding area at the southern North Sea coast (Zeebrugge and Ostend in Belgium and Vlissingen in the Netherlands), mainly to study their habitat use and migration behaviour. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking).

Data in this package are exported from Movebank study LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands) (Movebank Study ID 985143423), which can be viewed at https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study985143423. Attributes in the data files are defined in the README.txt, in the NERC Vocabulary Server at http://vocab.nerc.ac.uk/collection/MVB and in the Movebank Attribute Dictionary at www.movebank.org/node/2381.

Files



README.txt: information regarding the terms of use and data attributes.

LBBG_ZEEBRUGGE-reference-data.csv: reference data about the animals, tags and deployments.

LBBG_ZEEBRUGGE-gps-yyyy.csv: GPS data recorded by the tags, grouped by year.

LBBG_ZEEBRUGGE-acceleration-yyyy.csv: acceleration data recorded by the tags, grouped by year.


Acknowledgements

This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
DOI: 10.5281/zenodo.3968687
title: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)

description: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study LBBG_ZEEBRUGGE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2013. In total 150 individuals of lesser black-backed gull (Larus fuscus) have been tagged in or near their breeding area at the southern North Sea coast (Zeebrugge and Ostend in Belgium and Vlissingen in the Netherlands), mainly to study their habitat use and migration behaviour. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking).

Data in this package are exported from Movebank study LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands) (Movebank Study ID 985143423), which can be viewed at https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study985143423. Attributes in the data files are defined in the README.txt, in the NERC Vocabulary Server at http://vocab.nerc.ac.uk/collection/MVB and in the Movebank Attribute Dictionary at www.movebank.org/node/2381.

Files



README.txt: information regarding the terms of use and data attributes.

LBBG_ZEEBRUGGE-reference-data.csv: reference data about the animals, tags and deployments.

LBBG_ZEEBRUGGE-gps-yyyy.csv.zip: GPS data recorded by the tags, grouped by year.

LBBG_ZEEBRUGGE-acceleration-yyyy.csv.zip: acceleration data recorded by the tags, grouped by year.


Acknowledgements

This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
DOI: 10.5281/zenodo.15690182
title: aythya_innotata_spades_01.fasta.gz
DOI: 10.5281/zenodo.15690183
title: aythya_innotata_spades_01.fasta.gz
DOI: 10.5281/zenodo.5068540
title: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)

description: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study LBBG_ZEEBRUGGE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2013. In total 162 individuals of lesser black-backed gull (Larus fuscus) have been tagged in or near their breeding area at the southern North Sea coast (Zeebrugge and Ostend in Belgium and Vlissingen in the Netherlands), mainly to study their habitat use and migration behaviour. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking).

Files

Data in this package are exported from Movebank study 985143423. Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json. Files are structured as a Frictionless Data Package. You can access all data in R via https://zenodo.org/records/5068540/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

LBBG_ZEEBRUGGE-reference-data.csv: reference data about the animals, tags and deployments.

LBBG_ZEEBRUGGE-gps-yyyy.csv.gz: GPS data recorded by the tags, grouped by year.

LBBG_ZEEBRUGGE-acceleration-yyyy.csv.gz: acceleration data recorded by the tags, grouped by year.


Acknowledgements

This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
description: Changelog



Add datapackage.json file.
DOI: 10.5281/zenodo.6579497
title: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)

description: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study LBBG_ZEEBRUGGE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2013. In total 162 individuals of lesser black-backed gull (Larus fuscus) have been tagged in or near their breeding area at the southern North Sea coast (Zeebrugge and Ostend in Belgium and Vlissingen in the Netherlands), mainly to study their habitat use and migration behaviour. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking).

Files

Data in this package are exported from Movebank study 985143423. Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json. Files are structured as a Frictionless Data Package. You can access all data in R via https://zenodo.org/records/6579497/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

LBBG_ZEEBRUGGE-reference-data.csv: reference data about the animals, tags and deployments.

LBBG_ZEEBRUGGE-gps-yyyy.csv.gz: GPS data recorded by the tags, grouped by year.

LBBG_ZEEBRUGGE-acceleration-yyyy.csv.gz: acceleration data recorded by the tags, grouped by year.


Acknowledgements

This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.

 
description: Changelog



Add data from 2021.
DOI: 10.5255/ukda-sn-857349
title: Hospitality Connect: The Role of Local Hospitality Businesses in Connecting Lives and Building Communities, 2022-2023

description: The pandemic has had a notable impact on the physical, mental and social health of older adults (Age UK., 2021), a group who were disproportionately affected by social distancing measures (Pantaris et al., 2020). This has coincided with an unprecedented financial shock to the hospitality sector (Hutton et al., 2022), with government figures suggesting this industry shrank by more than 40% in 2020 relative to 2019. This project helps support social connections and ‘build back better’ by focusing on a group (older adults) and sector (hospitality) who were both disproportionately impacted by the pandemic.

Cafes and pubs are venues for sociality and companionship, often perceived as connecting individuals and groups in beneficial ways (Rosenbaum et al., 2007; Dunbar, 2016). This research aims to develop our understanding of current and potential opportunities for the hospitality business to play an influential role in supporting social connections. This project takes a qualitative approach, conducting go-along interviews with older adults (aged 65+), hospitality businesses and policy influencers to investigate how engagement with hospitality services could help older adults from diverse socioeconomic backgrounds become more socially connected.
DOI: 10.34740/kaggle/dsv/12206539
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.10054621
title: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)

description: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study LBBG_ZEEBRUGGE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2013. In total 162 individuals of lesser black-backed gull (Larus fuscus) have been tagged in or near their breeding area at the southern North Sea coast (Zeebrugge and Ostend in Belgium and Vlissingen in the Netherlands), mainly to study their habitat use and migration behaviour. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking).

Files

Data in this package are exported from Movebank study 985143423. Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json. Files are structured as a Frictionless Data Package. You can access all data in R via https://zenodo.org/records/10054621/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

LBBG_ZEEBRUGGE-reference-data.csv: reference data about the animals, tags and deployments.

LBBG_ZEEBRUGGE-gps-yyyy.csv.gz: GPS data recorded by the tags, grouped by year.

LBBG_ZEEBRUGGE-acceleration-yyyy.csv.gz: acceleration data recorded by the tags, grouped by year.


Acknowledgements

This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
description: Changelog



Add data from 2022

Update data from 2020 and 2021.

Add project-id, deploy-on-measurements and tag-firmware to the reference-data.

Reference the latest Movebank Attribute Dictionary.
DOI: 10.5281/zenodo.12336021
title: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)

description: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study LBBG_ZEEBRUGGE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational from 2013 until 2023. In total 162 individuals of lesser black-backed gull (Larus fuscus) have been tagged in or near their breeding area at the southern North Sea coast (Zeebrugge and Ostend in Belgium and Vlissingen in the Netherlands), mainly to study their habitat use and migration behaviour. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected.

Files

Data in this package are exported from Movebank study 985143423. Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json. Files are structured as a Frictionless Data Package. You can access all data in R via https://zenodo.org/records/12336021/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

LBBG_ZEEBRUGGE-reference-data.csv: reference data about the animals, tags and deployments.

LBBG_ZEEBRUGGE-gps-yyyy.csv.gz: GPS data recorded by the tags, grouped by year.

LBBG_ZEEBRUGGE-acceleration-yyyy.csv.gz: acceleration data recorded by the tags, grouped by year.


Acknowledgements

This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
description: Changelog



Add data from 2023.

Update data from 2018 to 2022 with data from recovered tracker 5542 (bird 5501123).

Reference the latest Movebank Attribute Dictionary.
DOI: 10.5281/zenodo.3540799
title: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)

description: LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study LBBG_ZEEBRUGGE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational from 2013 until 2023. In total 162 individuals of lesser black-backed gull (Larus fuscus) have been tagged in or near their breeding area at the southern North Sea coast (Zeebrugge and Ostend in Belgium and Vlissingen in the Netherlands), mainly to study their habitat use and migration behaviour. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected.

Files

Data in this package are exported from Movebank study 985143423. Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json. Files are structured as a Frictionless Data Package. You can access all data in R via https://zenodo.org/records/12336021/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

LBBG_ZEEBRUGGE-reference-data.csv: reference data about the animals, tags and deployments.

LBBG_ZEEBRUGGE-gps-yyyy.csv.gz: GPS data recorded by the tags, grouped by year.

LBBG_ZEEBRUGGE-acceleration-yyyy.csv.gz: acceleration data recorded by the tags, grouped by year.


Acknowledgements

This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
description: Changelog



Add data from 2023.

Update data from 2018 to 2022 with data from recovered tracker 5542 (bird 5501123).

Reference the latest Movebank Attribute Dictionary.
DOI: 10.6084/m9.figshare.29038924
title: Common Components Structural VARs

description: Structural VAR models (SVAR) produce results that can vary dramatically with the choice of variables, because information is deficient. We argue that if the variables of interest belong to a High-Dimensional Factor Model and are replaced in the SVAR by their common components, the information issue finds a solution, provided that the number of common components is larger than the number of structural shocks, so that the SVAR is dynamically singular. This is the Common Components Structural VAR (CC-SVAR). Our main contribution is that we prove consistency of our CC-SVAR estimates, which is far from trivial as our estimated SVAR tends to dynamic singularity. We apply our procedure to monetary policy shocks, finding that, with the CC-SVAR, results are robust to the choice of variables and well-known puzzles disappear.
DOI: 10.6084/m9.figshare.29038924.v2
title: Common Components Structural VARs

description: Structural VAR models (SVAR) produce results that can vary dramatically with the choice of variables, because information is deficient. We argue that if the variables of interest belong to a High-Dimensional Factor Model and are replaced in the SVAR by their common components, the information issue finds a solution, provided that the number of common components is larger than the number of structural shocks, so that the SVAR is dynamically singular. This is the Common Components Structural VAR (CC-SVAR). Our main contribution is that we prove consistency of our CC-SVAR estimates, which is far from trivial as our estimated SVAR tends to dynamic singularity. We apply our procedure to monetary policy shocks, finding that, with the CC-SVAR, results are robust to the choice of variables and well-known puzzles disappear.
DOI: 10.6084/m9.figshare.29038924.v1
title: Common Components Structural VARs*

description: Structural VAR models (SVAR) produce results that can vary dramatically with the choice of variables, because information is deficient. We argue that if the variables of interest belong to a High-Dimensional Factor Model and are replaced in the SVAR by their common components, the information issue finds a solution, provided that the number of common components is larger than the number of structural shocks, so that the SVAR is dynamically singular. This is the Common Components Structural VAR (CC-SVAR). Our main contribution is that we prove consistency of our CC-SVAR estimates, which is far from trivial as our estimated SVAR tends to dynamic singularity. We apply our procedure to monetary policy shocks, finding that, with the CC-SVAR, results are robust to the choice of variables and well-known puzzles disappear.
DOI: 10.15468/dl.5qfvad
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is psylliodes_attenuata_canada_2024"
 ]
}

 The dataset includes 66 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054175-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dn3nzn
title: Occurrence Download

description: A dataset containing 696943 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficaria verna Huds."
 ]
}

 The dataset includes 696943 records from 2279 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054170-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/bold:aad0194
title: Barcode Index Number BOLD:AAD0194

description: A cluster of barcode records associated with a Barcode Index Number(BIN). Each cluster is a proxy for a named or unnamed species. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aad0195
title: Overview of Barcode Index Number - BOLD:AAD0195

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aad0196
title: Overview of Barcode Index Number - BOLD:AAD0196

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aad0199
title: Overview of Barcode Index Number - BOLD:AAD0199

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aad0201
title: Overview of Barcode Index Number - BOLD:AAD0201

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aad0203
title: Overview of Barcode Index Number - BOLD:AAD0203

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.