cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.46dyhf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthidium biasolettianum (Grunow) Lange-Bert.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054842-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.8238669
title: O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands)

description: O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands) is a bird tracking dataset published by Sovon, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_SCHIERMONNIKOOG using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2008 to 2014. In total 43 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged as a breeding bird on the saltmarshes of the island Schiermonnikoog (the Netherlands), mainly to study their space use both during the breeding season and winter season. Data are 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.

See van der Kolk et al. (2022, https://doi.org/10.3897/zookeys.1123.90623) for a more detailed description of this dataset.

Files

Data in this package are exported from Movebank study 1605799506. 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/8238669/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

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

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

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


Acknowledgements

These data were collected by Sovon in collaboration with the University of Amsterdam (UvA). Funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.
DOI: 10.5281/zenodo.10053970
title: O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands)

description: O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands) is a bird tracking dataset published by Sovon, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_SCHIERMONNIKOOG using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2008 to 2014. In total 43 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged as a breeding bird on the saltmarshes of the island Schiermonnikoog (the Netherlands), mainly to study their space use both during the breeding season and winter season. Data are 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.

See van der Kolk et al. (2022, https://doi.org/10.3897/zookeys.1123.90623) for a more detailed description of this dataset.

Files

Data in this package are exported from Movebank study 1605799506. 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/10053970/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

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

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

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


Acknowledgements

These data were collected by Sovon in collaboration with the University of Amsterdam (UvA). Funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.
description: Changelog



Add alt-project-id to the reference-data.

Reference the latest Movebank Attribute Dictionary.
DOI: 10.5281/zenodo.5653477
title: O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands)

description: O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands) is a bird tracking dataset published by Sovon, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_SCHIERMONNIKOOG using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2008 to 2014. In total 43 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged as a breeding bird on the saltmarshes of the island Schiermonnikoog (the Netherlands), mainly to study their space use both during the breeding season and winter season. Data are 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.

See van der Kolk et al. (2022, https://doi.org/10.3897/zookeys.1123.90623) for a more detailed description of this dataset.

Files

Data in this package are exported from Movebank study 1605799506. 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/10053970/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

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

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

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


Acknowledgements

These data were collected by Sovon in collaboration with the University of Amsterdam (UvA). Funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.
description: Changelog



Add alt-project-id to the reference-data.

Reference the latest Movebank Attribute Dictionary.
DOI: 10.6084/m9.figshare.29357354.v1
title: Dataset origi Right to disconnect legal strateg.xlsx

description: Collected this data from various industry employees
DOI: 10.6084/m9.figshare.29357354
title: Dataset origi Right to disconnect legal strateg.xlsx

description: Collected this data from various industry employees
DOI: 10.25318/3410017501-eng
title: Investment in building construction, 2010 to 2023, inactive

description: The investment in residential and non-residential building construction represents the spending value of building construction by households, enterprises and governments for buildings, excluding the value of land. The investment data for residential and non-residential building construction gives a detailed statistical image of this activity across Canada, including the provinces and territories, and census metropolitan areas (CMA). Non-residential building construction excludes expenditure on engineering work (bridges, roads, hydroelectric power plants, etc.). The statistics are used by a wide range of economists and analysts from the public and private sectors.
DOI: 10.25318/3410017501-fra
title: Investissement en construction de bâtiments, 2010 à 2023, inactif

description: L'investissement dans la construction de bâtiments résidentiels et non résidentiels représente la valeur des dépenses engagées par les ménages, les entreprises et les administrations publiques pour construire des immeubles, à l'exclusion de la valeur des terres. Les données sur l'investissement dans la construction de bâtiments résidentiels et non résidentiels fournissent un portrait statistique détaillé de cette activité à l'échelle du Canada, des provinces et territoires, et des régions métropolitaines de recensement (RMR). La construction de bâtiments non résidentiels exclut les dépenses en travaux de génie (ponts, routes, barrages hydro-électriques, etc.). Les statistiques sont utilisées par un grand éventail d'économistes et d'analystes des secteurs public et privé.
DOI: 10.15468/dl.qp3naq
title: Occurrence Download

description: A dataset containing 3457 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platyceps Blyth, 1860"
 ]
}

 The dataset includes 3457 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054843-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3410028601-eng
title: Investment in building construction, 2017 to 2025, inactive

description: The investment in residential and non-residential building construction represents the spending value of building construction by households, enterprises and governments for buildings.
DOI: 10.15468/dl.krmhgp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthidium biasolettianum (Grunow) Lange-Bert.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054844-250525065834625/datasets/export for details.
DOI: 10.25318/3410028601-fra
title: Investissement en construction de bâtiments, 2017 à 2025, inactif

description: L'investissement dans la construction de bâtiments résidentiels et non résidentiels représente la valeur des dépenses engagées par les ménages, les entreprises et les administrations.
DOI: 10.6084/m9.figshare.28877339
title: <b>SFEE Engine – Scalar Field Emergent Engine Core Model and Simulations</b>

description: This publication introduces the SFEE Engine, short for Scalar Field Emergent Engine, a central framework within the A+M[S] model. The SFEE serves as a high-dimensional, emergent-field simulation platform designed to model the interaction of scalar fields, particle collisions, energy wave propagation, and exotic quantum conditions.<br>The SFEE simulates:<br>High-energy resonance collisionsParticle echo fieldsScalar compression and field warpingDynamic time-loop harmonicsEarly universe conditions and black hole boundary field behaviors<br><br>Integrated with the CLU math system, SFEE enables visual, testable, and recursive simulations for phenomena including scalar resonance wavefronts, energy echo entanglement, and gravitational feedback structures.<br>
DOI: 10.6084/m9.figshare.28877339.v1
title: <b>SFEE Engine – Scalar Field Emergent Engine Core Model and Simulations</b>

description: This publication introduces the SFEE Engine, short for Scalar Field Emergent Engine, a central framework within the A+M[S] model. The SFEE serves as a high-dimensional, emergent-field simulation platform designed to model the interaction of scalar fields, particle collisions, energy wave propagation, and exotic quantum conditions.<br>The SFEE simulates:<br>High-energy resonance collisionsParticle echo fieldsScalar compression and field warpingDynamic time-loop harmonicsEarly universe conditions and black hole boundary field behaviors<br><br>Integrated with the CLU math system, SFEE enables visual, testable, and recursive simulations for phenomena including scalar resonance wavefronts, energy echo entanglement, and gravitational feedback structures.<br>
DOI: 10.5066/p13hmerh
title: Spatial distribution of native freshwater mussels across six reaches of the upper Mississippi River, 2006-2019

description: We conducted large-scale systematic surveys for native mussels across six reaches of the upper Mississippi River. In each reach, divers placed two 0.25 square meter quadrat frames on the river bottom. The duplicate quadrats, which were placed 10 m apart in an upstream to downstream direction, were used to increase the area sampled at each site and increase the effectiveness of this cluster design. Divers excavated substrates to a depth of about 15 cm and placed material into a 6 mm mesh bag. Mussels were identified to species, aged via external annuli, measured for shell length, and sexed (in species with external sexual dimorphism).
DOI: 10.5281/zenodo.5653891
title: O_VLIELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding and wintering on Vlieland (the Netherlands)

description: O_VLIELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding and wintering on Vlieland (the Netherlands) is a bird tracking dataset published by the Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_VLIELAND using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2016 to 2021. In total 103 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged either as a breeding bird or while overwintering on the Wadden island Vlieland (the Netherlands), mainly to study how they respond to disturbances from aircraft. Data are 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.

See van der Kolk et al. (2022, https://doi.org/10.3897/zookeys.1123.90623) for a more detailed description of this dataset.

Files

Data in this package are exported from Movebank study 1605802367. 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/5653891/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

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

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

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

O_VLIELAND-accessory-measurements-yyyy.csv.gz: behaviour categories derived from acceleration data, grouped by year.


Acknowledgements

These data were collected by the Netherlands Institute of Ecology (NIOO-KNAW), in collaboration with Sovon, Radboud University and the University of Amsterdam (UvA) for the CHIRP (Cumulative Human Impact on biRd Populations) project. Funding was provided by the Applied and Engineering Sciences domain of the Netherlands Organisation for Scientific Research (NWO-TTW 14638) and co-funding via NWO-TTW by Royal Netherlands Air Force, Birdlife Netherlands, NAM gas exploration and Deltares. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.
DOI: 10.5281/zenodo.8238766
title: O_VLIELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding and wintering on Vlieland (the Netherlands)

description: O_VLIELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding and wintering on Vlieland (the Netherlands) is a bird tracking dataset published by the Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_VLIELAND using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2016 to 2021. In total 103 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged either as a breeding bird or while overwintering on the Wadden island Vlieland (the Netherlands), mainly to study how they respond to disturbances from aircraft. Data are 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.

See van der Kolk et al. (2022, https://doi.org/10.3897/zookeys.1123.90623) for a more detailed description of this dataset.

Files

Data in this package are exported from Movebank study 1605802367. 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/8238766/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

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

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

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

O_VLIELAND-accessory-measurements-yyyy.csv.gz: behaviour categories derived from acceleration data, grouped by year.


Acknowledgements

These data were collected by the Netherlands Institute of Ecology (NIOO-KNAW), in collaboration with Sovon, Radboud University and the University of Amsterdam (UvA) for the CHIRP (Cumulative Human Impact on biRd Populations) project. Funding was provided by the Applied and Engineering Sciences domain of the Netherlands Organisation for Scientific Research (NWO-TTW 14638) and co-funding via NWO-TTW by Royal Netherlands Air Force, Birdlife Netherlands, NAM gas exploration and Deltares. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.
DOI: 10.15468/dl.tmp3cc
title: Occurrence Download

description: A dataset containing 1405 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clitoria fairchildiana R.A.Howard"
 ]
}

 The dataset includes 1405 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054845-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqugyb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthidium biasolettianum (Grunow) Lange-Bert.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054847-250525065834625/datasets/export for details.