cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.1v9rmh
title: Occurrence Download

description: A dataset containing 44174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus europaeus sp. mediterraneus Wagner, 1841"
 ]
}

 The dataset includes 44174 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000172-150721130643939/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/rtfm0k/p426az
title: SICEv3.0_AlaskaYukon_500m_2022-10-18.nc

description: EDC SICE output: SICEv3.0_AlaskaYukon_500m_2022-10-18.nc, date: 2022-10-18
DOI: 10.15468/dl.vvq0hh
title: Occurrence Download

description: A dataset containing 1333 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tamandua mexicana (Saussure, 1860)"
 ]
}

 The dataset includes 1333 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012150-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xa22sr
title: Occurrence Download

description: A dataset containing 2273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Ctenosaura pectinata (Wiegmann, 1834)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2273 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005563-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/rtfm0k/g0qrjk
title: SICEv3.0_AlaskaYukon_500m_2022-10-19.nc

description: EDC SICE output: SICEv3.0_AlaskaYukon_500m_2022-10-19.nc, date: 2022-10-19
DOI: 10.15468/dl.cpq35a
title: Occurrence Download

description: A dataset containing 6614 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anodorhynchus hyacinthinus (Latham, 1790)"
 ]
}

 The dataset includes 6614 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042523-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/rtfm0k/rsh4ur
title: SICEv3.0_AlaskaYukon_500m_2022-10-20.nc

description: EDC SICE output: SICEv3.0_AlaskaYukon_500m_2022-10-20.nc, date: 2022-10-20
DOI: 10.15468/dl.f44wcv
title: Occurrence Download

description: A dataset containing 1673 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Verbena canescens Kunth"
 ]
}

 The dataset includes 1673 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0327423-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ivc0kv
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Namibia",
 "HasCoordinate is false",
 "TaxonKey is Tomopterna cryptotis (Boulenger, 1907)"
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000172-171109162308116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ljmhb2
title: Occurrence Download

description: A dataset containing 10108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iguana iguana (Linnaeus, 1758)"
 ]
}

 The dataset includes 10108 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005563-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/rtfm0k/qnq8yf
title: SICEv3.0_AlaskaYukon_500m_2022-10-21.nc

description: EDC SICE output: SICEv3.0_AlaskaYukon_500m_2022-10-21.nc, date: 2022-10-21
DOI: 10.15468/dl.rc9qjf
title: Occurrence Download

description: A dataset listing the 6673 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON ((-5.07351676409732 56.42720544079059, -4.984477491889714 56.42722088889531, -4.863829311677139 56.367177563106466, -4.75987620588936 56.34555511046864, -4.6507893653795 56.34788623743556, -4.40075227036709 56.391741965027585, -4.3491485559743746 56.39451328795054, -4.193901697224225 56.43307346320581, -3.797533598259828 56.53737236277931, -3.769549726084632 56.54656250404399, -3.7695497260846325 56.95286681495367, -5.07351676409732 56.95286681495367, -5.07351676409732 56.42720544079059))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 6673 records were derived from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077133-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/rtfm0k/forapz
title: SICEv3.0_AlaskaYukon_500m_2022-10-22.nc

description: EDC SICE output: SICEv3.0_AlaskaYukon_500m_2022-10-22.nc, date: 2022-10-22
DOI: 10.5281/zenodo.11408332
title: GEOGRAFIK AXBOROT TIZIMI (GAT)
DOI: 10.15468/dl.tngkux
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Campylopterus phainopeplus Salvin & Godman, 1879",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 33 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000172-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11408331
title: GEOGRAFIK AXBOROT TIZIMI (GAT)
DOI: 10.15468/dl.f39jqg
title: Occurrence Download

description: A dataset containing 13327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "OccurrenceStatus is Present",
 "TaxonKey is Pharomachrus mocinno La Llave, 1832",
 "Year 2011-2021"
 ]
}

 The dataset includes 13327 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0330171-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/rtfm0k/1r8ia8
title: SICEv3.0_AlaskaYukon_500m_2022-10-23.nc

description: EDC SICE output: SICEv3.0_AlaskaYukon_500m_2022-10-23.nc, date: 2022-10-23
DOI: 10.15468/dl.c4j9za
title: Occurrence Download

description: A dataset containing 93861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 93861 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008737-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/rtfm0k/yomrvg
title: SICEv3.0_AlaskaYukon_500m_2022-10-24.nc

description: EDC SICE output: SICEv3.0_AlaskaYukon_500m_2022-10-24.nc, date: 2022-10-24
DOI: 10.15468/dl.v7pcn2
title: Occurrence Download

description: A dataset containing 4197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crocidura leucodon (Hermann, 1780))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4197 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054191-240506114902167/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.29973394
title: Rule-constrained NER & GPT: automated geolocation mapping from contributions on digital participation platforms

description: Digital participation platforms enhance the efficiency of handling public concerns by aggregating citizens' contributions along with corresponding location tags. However, two key challenges persist: (1) frequent discrepancies between the locations as described in the contribution text and the locations marked on the map and (2) the limited capability of the Named Entity Recognition (NER) process in mapping geolocations. This article proposes a novel framework that takes citizens' contributions, including associated annotated geometries, as input, and outputs the identified geolocations and geometry mapping results from either rule-constrained NER models or Generative Pretrained Transformer (GPT). This enables a comparison between the original geometries as indicated by citizens and the results generated by our framework based on the contribution text. We selected contributions from the Digital Participation System (DIPAS) in Hamburg, Germany, for experimental analysis. The experimental results show that, out of 100 randomly selected contributions, the mapping accuracy of the original geometries is 60%, that of the confirmed rule-constrained NER model is 77%, and that of GPT is 50%. The rule-based NER model performs the best in our case. These findings suggest that our approach could serve as a geolocation mapper for digital participation platforms, such as DIPAS, potentially alleviating the need to calibrate contributions manually.
DOI: 10.6084/m9.figshare.29973394.v2
title: Rule-constrained NER & GPT: automated geolocation mapping from contributions on digital participation platforms

description: Digital participation platforms enhance the efficiency of handling public concerns by aggregating citizens' contributions along with corresponding location tags. However, two key challenges persist: (1) frequent discrepancies between the locations as described in the contribution text and the locations marked on the map and (2) the limited capability of the Named Entity Recognition (NER) process in mapping geolocations. This article proposes a novel framework that takes citizens' contributions, including associated annotated geometries, as input, and outputs the identified geolocations and geometry mapping results from either rule-constrained NER models or Generative Pretrained Transformer (GPT). This enables a comparison between the original geometries as indicated by citizens and the results generated by our framework based on the contribution text. We selected contributions from the Digital Participation System (DIPAS) in Hamburg, Germany, for experimental analysis. The experimental results show that, out of 100 randomly selected contributions, the mapping accuracy of the original geometries is 60%, that of the confirmed rule-constrained NER model is 77%, and that of GPT is 50%. The rule-based NER model performs the best in our case. These findings suggest that our approach could serve as a geolocation mapper for digital participation platforms, such as DIPAS, potentially alleviating the need to calibrate contributions manually.
DOI: 10.6084/m9.figshare.29973394.v1
title: Rule-constrained NER & GPT: automated geolocation mapping from contributions on digital participation platforms

description: Digital participation platforms enhance the efficiency of handling public concerns by aggregating citizens' contributions along with corresponding location tags. However, two key challenges persist: (1) frequent discrepancies between the locations as described in the contribution text and the locations marked on the map and (2) the limited capability of the Named Entity Recognition (NER) process in mapping geolocations. This article proposes a novel framework that takes citizens' contributions, including associated annotated geometries, as input, and outputs the identified geolocations and geometry mapping results from either rule-constrained NER models or Generative Pretrained Transformer (GPT). This enables a comparison between the original geometries as indicated by citizens and the results generated by our framework based on the contribution text. We selected contributions from the Digital Participation System (DIPAS) in Hamburg, Germany, for experimental analysis. The experimental results show that, out of 100 randomly selected contributions, the mapping accuracy of the original geometries is 60%, that of the confirmed rule-constrained NER model is 77%, and that of GPT is 50%. The rule-based NER model performs the best in our case. These findings suggest that our approach could serve as a geolocation mapper for digital participation platforms, such as DIPAS, potentially alleviating the need to calibrate contributions manually.
DOI: 10.15468/dl.fxfu9j
title: Occurrence Download

description: A dataset containing 405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudodissochaeta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 405 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042049-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17068201
title: Grain size analysis of bottom sediments from lower sector of Danube River (Corabia, Bechet, Pisculeț-Desa, Golenți-Cetate sectors), 2021 – PN 19 20 02 04, National Project

description: The dataset comprises grain size analysis data of bottom sediments from the lower sector of the Danube River. The data were collected during two research cruises conducted between May 9 - May 19, 2021 and September 11 - September 22, 2021as part of the national project “Development of an Integrated Management Framework for Pilot Areas in the Romanian Sector of the Danube River, Influenced by Climate Change and Anthropogenic Interventions, through the Application of Advanced Investigation Methodologies (Geophysical, Remote Sensing, Sedimentological, Morphological, Biological)” (PN 19 20 02 04).

A total of 78 sediment samples were collected during the first expedition and 78 during the second, from four Danube sectors: Downstream Corabia (Km 626–631), Bechet (Km 674–678), Pisculeț–Desa (Km 760–765), and Golenți–Cetate (Km 805–811). Sampling was performed using a Van Veen grab by the GeoEcoMar research team. The dataset aims to support the characterization of sediment texture and the evaluation of spatial and temporal variability of bottom sediments in this section of the Danube River.
DOI: 10.5281/zenodo.17068202
title: Grain size analysis of bottom sediments from lower sector of Danube River (Corabia, Bechet, Pisculeț-Desa, Golenți-Cetate sectors), 2021 – PN 19 20 02 04, National Project

description: The dataset comprises grain size analysis data of bottom sediments from the lower sector of the Danube River. The data were collected during two research cruises conducted between May 9 - May 19, 2021 and September 11 - September 22, 2021as part of the national project “Development of an Integrated Management Framework for Pilot Areas in the Romanian Sector of the Danube River, Influenced by Climate Change and Anthropogenic Interventions, through the Application of Advanced Investigation Methodologies (Geophysical, Remote Sensing, Sedimentological, Morphological, Biological)” (PN 19 20 02 04).

A total of 78 sediment samples were collected during the first expedition and 78 during the second, from four Danube sectors: Downstream Corabia (Km 626–631), Bechet (Km 674–678), Pisculeț–Desa (Km 760–765), and Golenți–Cetate (Km 805–811). Sampling was performed using a Van Veen grab by the GeoEcoMar research team. The dataset aims to support the characterization of sediment texture and the evaluation of spatial and temporal variability of bottom sediments in this section of the Danube River.
DOI: 10.15468/dl.90dwvc
title: Occurrence Download

description: A dataset containing 6101 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Specimen"
 ]
 },
 "TaxonKey is Picea glauca (Moench) Voss"
 ]
}

 The dataset includes 6101 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019254-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsu7jf
title: Occurrence Download

description: A dataset containing 1503 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tapirus bairdii (Gill, 1865)"
 ]
}

 The dataset includes 1503 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006816-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ztgnz
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Celtis conferta Planch."
 ]
}

 The dataset includes 381 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084275-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dniwf9
title: Occurrence Download

description: A dataset listing the 3992 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "Year 1801-2019",
 "HasCoordinate is true",
 "TaxonKey is Selaginella P.Beauv.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 3992 records were derived from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019254-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5q9sm
title: Occurrence Download

description: A dataset containing 720 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((31 -9.5,35 -9.5,35 -7,31 -7,31 -9.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 720 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173642-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzs7yz
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Lachesis muta (Linnaeus, 1766)"
 ]
}

 The dataset includes 303 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084325-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k0fmoa
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Semiarundinaria fastuosa (Lat.-Marl. ex Mitford) Makino",
 "TaxonKey is Semimytilus algosus (Gould, 1850)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 156 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019255-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.he93e7
title: Occurrence Download

description: A dataset containing 5355779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is International Barcode of Life project (iBOL)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1804-2020"
 ]
}

 The dataset includes 5355779 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149173-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrbm4s
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Malaysia, Indonesia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhinolophus stheno K.Andersen, 1905"
 ]
}

 The dataset includes 95 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084352-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.la0yvj
title: Occurrence Download

description: A dataset containing 1702 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Specimen"
 ]
 },
 "TaxonKey is Pinus edulis Engelm."
 ]
}

 The dataset includes 1702 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019256-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnbedu
title: Occurrence Download

description: A dataset containing 117985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "Year is 1986",
 "Country is Brazil"
 ]
}

 The dataset includes 117985 records from 224 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173640-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cnnzul
title: Occurrence Download

description: A dataset containing 1179 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulnesia Gay"
 ]
}

 The dataset includes 1179 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019256-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tx8bkq
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyphostemma delphinense Desc."
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015381-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.