cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2xn7za
title: Occurrence Download

description: A dataset containing 4517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Colombia, Mexico, Ecuador, Brazil, Costa Rica, Argentina, Paraguay)",
 "DatasetKey is one of (Línea base general de aves y mamíferos a través de cámaras trampa para el valle medio del Magdalena - VMM, Registros de especies priorizadas de mamíferos de Colombia, recopilados a partir de la información de fototrampeo, Registro de trampas cámara del monitoreo a escala de paisajes, Monitoreo pasivo de fauna silvestre con cámaras trampa en el Piedemonte Casanare, Colombia - Proyecto FIBRAS, Feline and other mammals monitoring in Tres Mesas wind farm - Tamaulipas, Mexico, Fototrampeo del Departamento de Propuestas, Dirección de Desarrollo y Comercialización de FONAFIFO, MSU Mammalogy, Ornithology and Vertebrate Paleontology Collections, Fauna registrada mediante cámaras trampa en el marco del proyecto Expedición del Oso Palmero en el departamento del Casanare, Monitoreo pasivo de fauna silvestre con cámaras trampa en el Magdalena Medio, Santander y Cesar, Colombia - Proyecto FIBRAS)",
 "TaxonKey is Leopardus pardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 4517 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054787-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmgtwv
title: Occurrence Download

description: A dataset containing 31388 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus pardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 31388 records from 433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054788-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5kgm6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthidium F.T.Kützing, 1844",
 "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 ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054789-250525065834625/datasets/export for details.
DOI: 10.15468/dl.8wt98c
title: Occurrence Download

description: A dataset containing 1779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Mexico, Colombia, Ecuador, Argentina, Peru, Costa Rica, Paraguay, Bolivia (Plurinational State of))",
 "DatasetKey is one of (NHMD Quaternary Zoology Collection, Registro de avistamientos de fauna durante recorridos de control y vigilancia en el Parque Nacional Yasuní, Registros biológicos en áreas protegidas obtenidos de documentos impresos, Registros de fauna asociados al proyecto: Conservación de félidos silvestres del Putumayo, Avistajes de espcies de valor especial en áreas protegidas del noreste de Argentina, Monitoreo de Felinos Silvestres asociados a Sistemas Agropecuarios en las Cuencas del Caño Zarzal y Caño La Vizcaína, Barrancabermeja, Santander, Observation.org, Nature data from around the World, Palaeobiology - Vertebrate Fossils Collection - Mammalia - Royal Ontario Museum, Registros de especies priorizadas de mamíferos de Colombia, recopilados a partir de la información de fototrampeo)",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 1779 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054790-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.637a7z
title: Occurrence Download

description: A dataset containing 205670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichophorum alpinum (L.) Pers., Corallorhiza trifida Châtel.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 205670 records from 268 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054774-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29357081
title: Current Dataset

description: This dataset contains transferred genes from 14 HGT papers, and is a work in progress. A certainty metric was created to assess the likelihood of a gene transfer. This metric has five levels of certainty, with the higher levels signifying a greater confidence in the gene transfer event. For example, papers that included the use of both in situ hybridization (or RNAi or Crispr) and phylogenetic analysis have a level five certainty. In situ hybridization is a molecular technique that shows the location of a specific sequence of DNA in the biological sample, which excludes the chance that the gene is a result of contamination. Phylogenetic analysis is a reliable method for identifying genes that have been horizontally transferredStudies that utilized both RNA sequencing (like quantitative PCR, ESTs, Race method) and phylogenetic analysis were assigned a level four certainty. This evidence demonstrates that the gene is actively expressed in the organism using RNA sequencing. Research papers that use both Polymerase Chain Reaction (PCR) (or southern blotting or DNA probes) and phylogenetic methods/sequence base methods have a certainty level of three. Using PCR can confirm the presence of the gene in the biological sample but also can amplify contamination. Papers that used both a sequence-based method such as BLAST (Basic Local Alignment Search Tool) and a phylogenetic analysis were assigned a level two certainty. Lastly, papers that only use one method of detection such as sequence-based methods or phylogenetic analysis or PCR or RNA sequencing were assigned a level one certainty.
DOI: 10.6084/m9.figshare.29357081.v1
title: Current Dataset

description: This dataset contains transferred genes from 14 HGT papers, and is a work in progress. A certainty metric was created to assess the likelihood of a gene transfer. This metric has five levels of certainty, with the higher levels signifying a greater confidence in the gene transfer event. For example, papers that included the use of both in situ hybridization (or RNAi or Crispr) and phylogenetic analysis have a level five certainty. In situ hybridization is a molecular technique that shows the location of a specific sequence of DNA in the biological sample, which excludes the chance that the gene is a result of contamination. Phylogenetic analysis is a reliable method for identifying genes that have been horizontally transferredStudies that utilized both RNA sequencing (like quantitative PCR, ESTs, Race method) and phylogenetic analysis were assigned a level four certainty. This evidence demonstrates that the gene is actively expressed in the organism using RNA sequencing. Research papers that use both Polymerase Chain Reaction (PCR) (or southern blotting or DNA probes) and phylogenetic methods/sequence base methods have a certainty level of three. Using PCR can confirm the presence of the gene in the biological sample but also can amplify contamination. Papers that used both a sequence-based method such as BLAST (Basic Local Alignment Search Tool) and a phylogenetic analysis were assigned a level two certainty. Lastly, papers that only use one method of detection such as sequence-based methods or phylogenetic analysis or PCR or RNA sequencing were assigned a level one certainty.
DOI: 10.7910/dvn/1peey0
title: Global High-Resolution Soil Profile Database for Crop Modeling Applications

description: One of the obstacles in applying advanced crop simulation models such as DSSAT at a grid-based platform is the lack of gridded soil input data at various resolutions. Recently, there has been many efforts in scientific communities to develop spatially continuous soil database across the globe. The most representative example is the SoilGrids 1km released by ISRIC in 2014. In addition recent AfSIS project put a lot of efforts to develop more accurate soil database in Africa at high spatial resolution. Taking advantage of those two available high resolution soil databases (SoilGrids 1km and ISRIC-AfSIS at 1km resolution), this project aims to develop a set of DSSAT compatible soil profiles on 5 arc-minute grid (which is HarvestChoice’s standard grid). Six soil properties (bulk density, organic carbon, percentage of clay and silt, soil pH and cation exchange capacity) available from the original SoilGrids 1km or ISRIC-AfSIS were directly used as DSSAT inputs. We applied a pedo-transfer function to derive some soil hydraulic properties (saturated hydraulic conductivity, soil water content at field capacity, wilting point and saturation) which are critical to simulate crop growth. For other required variables, HarvestChoice’s HC27 database are used as a reference. Final outputs are provided in *.SOL file format (DSSAT soil database) for each country at 5-min resolution. In addition, uncertainty maps for organic carbon and soil water content at wilting points at the top 15 cm soil layers were generated to provide brief idea about accuracy of the final products. The generated soil properties were evaluated by visualizing their global maps and by comparing them with IIASA-IFPRI cropland map and AfSIS-GYGA’s available water content maps.
DOI: 10.5281/zenodo.6568082
title: MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium)

description: MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium) 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 MH_ANTWERPEN, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2018. In total 3 individuals of western marsh harriers (Circus aeruginosus) have been tagged in their breeding area near the city of Antwerp (Belgium), 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).

See Milotic et al. (2020, https://doi.org/10.3897/zookeys.947.52570) for a more detailed description of this dataset.

Files

Data in this package are exported from Movebank study 938783961. 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/6568082/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

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

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

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


Acknowledgements

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



Add data from 2021.
DOI: 10.5281/zenodo.8238402
title: MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium)

description: MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium) 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 MH_ANTWERPEN, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2018. In total 3 individuals of western marsh harriers (Circus aeruginosus) and 1 common buzzard (Buteo buteo) have been tagged in their breeding area near the city of Antwerp (Belgium), 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).

See Milotic et al. (2020, https://doi.org/10.3897/zookeys.947.52570) for a more detailed description of this dataset.

Files

Data in this package are exported from Movebank study 938783961. 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/8238402/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

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

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

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


Acknowledgements

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



Add data from 2022.
DOI: 10.5281/zenodo.10054153
title: MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium)

description: MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium) 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 MH_ANTWERPEN, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2018 until 2022. In total 3 individuals of western marsh harriers (Circus aeruginosus) and 1 common buzzard (Buteo buteo) have been tagged in their breeding area near the city of Antwerp (Belgium), 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.

See Milotic et al. (2020, https://doi.org/10.3897/zookeys.947.52570) for a more detailed description of this dataset.

Files

Data in this package are exported from Movebank study 938783961. 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/10054153/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

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

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

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


Acknowledgements

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



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

Reference the latest Movebank Attribute Dictionary.
DOI: 10.5281/zenodo.3550093
title: MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium)

description: MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium) 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 MH_ANTWERPEN, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2018 until 2022. In total 3 individuals of western marsh harriers (Circus aeruginosus) and 1 common buzzard (Buteo buteo) have been tagged in their breeding area near the city of Antwerp (Belgium), 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.

See Milotic et al. (2020, https://doi.org/10.3897/zookeys.947.52570) for a more detailed description of this dataset.

Files

Data in this package are exported from Movebank study 938783961. 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/10054153/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

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

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

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


Acknowledgements

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



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

Reference the latest Movebank Attribute Dictionary.
DOI: 10.15468/dl.2haa9h
title: Occurrence Download

description: A dataset containing 609440 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iris pseudacorus L."
 ]
}

 The dataset includes 609440 records from 2553 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054779-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ry9fcz
title: Occurrence Download

description: A dataset containing 13227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhododendron L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 13227 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0327494-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sj6zpc
title: Occurrence Download

description: A dataset containing 2649 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Chinese Taipei",
 "Country is China",
 "Country is Hong Kong",
 "Country is Macao"
 ]
 },
 "TaxonKey is Aythya nyroca (Güldenstädt, 1770)",
 "Year 2000-2022"
 ]
}

 The dataset includes 2649 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0384472-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppudmu
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Megophrys damrei Mahony, 2011)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055183-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ap8jru
title: Occurrence Download

description: A dataset containing 818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Mustela erminea Linnaeus, 1758"
 ]
}

 The dataset includes 818 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171892-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sb8b7f
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artemisia orientalihengduangensis Y.Ling & Y.R.Ling"
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055193-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtc6wh
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabis hoffmanii (Munz) Rollins"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045732-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhbnt8
title: Occurrence Download

description: A dataset containing 1779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Milvus migrans lineatus (J.E.Gray, 1831)"
 ]
}

 The dataset includes 1779 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204247-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsab9d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paromola macrochira Sakai, 1961",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((108.080642 16.439832, 121.84182 16.084389, 123.975906 41.313386, 108.669355 40.867975, 108.080642 16.439832))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012474-230828120925497/datasets/export for details.
DOI: 10.15468/dl.t869z7
title: Occurrence Download

description: A dataset containing 38162 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Month is February",
 "Month is August"
 ]
 },
 "TaxonKey is Anser anser (Linnaeus, 1758)",
 "Year 2020-2020"
 ]
}

 The dataset includes 38162 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0384475-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.