cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pv3tjy
title: Occurrence Download

description: A dataset containing 102622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pheucticus ludovicianus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 102622 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011948-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rn8nm3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAD1107"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011977-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/765a0a1272aeac09bbcdc4f7024597d1
title: Rainfall at El Verde Field Station, Rio Grande, Puerto Rico since 1975

description: Rainfall at El Verde Field Station is measured manually using a rain collector placed on the station roof. The collector is mostly open, but some degree of interference from tall trees around the station is possible. A technician measures rainfall daily during workdays. For weekends and holidays, the amount of precipitation is measured on the next working day and divided equally among the days since the last reading.
 As of July 1st, 2022 we stopped the practice of redistributing rainfall totals after gaps in rainfall collection. Previously for example, If on a Monday rainfall of 15 millimeters was collected and rainfall wasn't collected on Saturday or Sunday but had been on Friday then Monday, Saturday, and Sunday would each have 5 millimeters.
 Since July 1st, 2022 rainfall is reported as the totals actually collected on the dates they are collected.
 Rainfall has been measured at the El Verde Field Station since 1964. McDowell and Estrada-Pinto, 1988 presents a description of the collection procedures, raw data from 1964 to 1986, and some summary statistics for this period of record. Precipitation for this period showed some seasonality in monthly means, with a peak in May. Monthly averages for the period of 1975 to current chart can be found at this site. The highest values for the monthly averages for the period of 1975 to 2000 are from August to December with a low in October and November the highest. In this period the highest amount of total annual rainfall was in 1998 with 5293.61 mm and the minimum in 1994 with 1402.87 mm.
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.15468/dl.j4hef7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys nobilis",
 "Country is Sri Lanka",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011978-250711103210423/datasets/export for details.
DOI: 10.15468/dl.8b9cet
title: Occurrence Download

description: A dataset containing 2315196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pheucticus ludovicianus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 2315196 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011946-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxjzp2
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pheidole megacephala",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011980-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unznaf
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Drosera intermedia",
 "Year 1970-2020"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011979-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vtype
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eupatorium squarrulosum"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011981-250711103210423/datasets/export for details.
DOI: 10.15468/dl.wxuqxc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aira caryophyllea saxatilis, Aira caryophyllea suzana, Aira curta, Aira curta, Aira curta, Aira divaricata, Aira duriuscula, Aira edouardii, Aira edouardii, Aira eduardii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011982-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxcq6r
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diatrichalus robustus"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011983-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25387/g3.29429681
title: Supplemental Material for Miranda-Rodríguez <i>et al</i>., 2025

description: The genome of the land slug <em>Deroceras laeve </em>was sequenced, assembled up to the chromosome level, and annotated for non-coding RNAs and protein-coding genes. Due to the small size of this pulmonate species, ease of laboratory culture, cosmopolitan distribution, as well as recentrly released anatomical and histological resources, this genomic resource creates new opportunities for the investigation of the largely unexplored mechanisms of regeneration in <em>mollusks</em>. Moreover, it also makes this slug an attractive model for functional genomics and evolutionary biology.
DOI: 10.25387/g3.29429681.v1
title: Supplemental Material for Miranda-Rodríguez <i>et al</i>., 2025

description: The genome of the land slug <em>Deroceras laeve </em>was sequenced, assembled up to the chromosome level, and annotated for non-coding RNAs and protein-coding genes. Due to the small size of this pulmonate species, ease of laboratory culture, cosmopolitan distribution, as well as recentrly released anatomical and histological resources, this genomic resource creates new opportunities for the investigation of the largely unexplored mechanisms of regeneration in <em>mollusks</em>. Moreover, it also makes this slug an attractive model for functional genomics and evolutionary biology.
DOI: 10.15468/dl.4d6sk6
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pheidole megacephala",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011984-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjbxrv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys nobilis",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011985-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8umven
title: Occurrence Download

description: A dataset containing 434 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hybopsis rubrifrons"
 ]
}

 The dataset includes 434 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011988-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2s9y6
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rapistrum rugosum",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 88 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011986-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8bf7x
title: Occurrence Download

description: A dataset containing 2652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Eichhornia crassipes"
 ]
}

 The dataset includes 2652 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011987-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arazqq
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eupatorium subhastatum"
 ]
}

 The dataset includes 211 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011989-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vm6rpt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys nobilis",
 "Country is Tajikistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011990-250711103210423/datasets/export for details.
DOI: 10.5281/zenodo.15865602
title: Digitale Forschungsartefakte der Bachelorarbeit zur Klassifizierung digitaler Forschungsartefakte in Bildungstechnologien zur Integration in den RDMC

description: Diese Veröffentlichung beinhaltet eine Arbeitstabelle, eine RTF-Datei mit allen inkludierten Studien und eine begleitende Grafik im Rahmen einer Bachelorarbeit der Universität Potsdam.

Diese Arbeitstabelle dokumentiert die systematisch identifizierten und klassifizierten digitalen Forschungsartefakte der EC-TEL 2024 und DELFI 2024 Konferenzen. Für den Klassifikationsprozess wurde ein Modell von M. Striewe [1] verwendet, welches einen Rahmen für den Entstehungskontext der digitalen Forschungsartefakte bietet.

Die Arbeitstabelle wird im CSV-Format zur Verfügung gestellt und setzt sich aus den folgenden Spalten zusammen:








Studien-ID (AutorNummer_1)
DOI
Quelle
Referenz
Autor


Impliziter/Expliziter Artefakt-Typ

Kategorienummer
Relevanz für die Forschung










Begründung
Herkunft
Artefaktbeschreibung
Explizitheitsgrad
Anmerkung





Begleitend werden Gedanken zur Durchführung festgehalten und mithilfe von Digital Object Identifier (DOI) sind die inkludierten Studien in der Tabelle markiert und deren Inklusion begründet. Dazu befindet sich die RTF-Datei, welche alle Studien Zitiert.

 

Begleitend zur Durchführung werden Gedanken in der Arbeitstabelle festgehalten. Mithilfe von Digital Object Identifier (DOI) sind die in der Tabelle inkludierten Studien gekennzeichnet, und deren Inklusion begründet. Zusätzlich liegt eine RTF-Datei dabei, die die Zitation aller inkludierten Studien enthält.

 

[1] M. Striewe, „Forschungsdaten in der Bildungstechnologie: Worüber sprechen wir und was ist wann relevant?“, gehalten auf der Proceedings of DELFI 2024, Gesellschaft für Informatik e.V., 2024, S. 10.18420/delfi2024_44. Zugegriffen: 1. März 2025. [Online]. Verfügbar unter: https://dl.gi.de/handle/20.500.12116/44528
DOI: 10.5281/zenodo.15880849
title: Digitale Forschungsartefakte der Bachelorarbeit zur Klassifizierung digitaler Forschungsartefakte in Bildungstechnologien zur Integration in den RDMC

description: Diese Veröffentlichung beinhaltet eine Arbeitstabelle, eine RTF-Datei mit allen inkludierten Studien und eine begleitende Grafik im Rahmen einer Bachelorarbeit der Universität Potsdam.

Diese Arbeitstabelle dokumentiert die systematisch identifizierten und klassifizierten digitalen Forschungsartefakte der EC-TEL 2024 und DELFI 2024 Konferenzen. Für den Klassifikationsprozess wurde ein Modell von M. Striewe [1] verwendet, welches einen Rahmen für den Entstehungskontext der digitalen Forschungsartefakte bietet.

Die Arbeitstabelle wird im CSV-Format zur Verfügung gestellt und setzt sich aus den folgenden Spalten zusammen:








Studien-ID (AutorNummer_1)
DOI
Quelle
Referenz
Autor


Impliziter/Expliziter Artefakt-Typ

Kategorienummer
Relevanz für die Forschung










Begründung
Herkunft
Artefaktbeschreibung
Explizitheitsgrad
Anmerkung





Begleitend werden Gedanken zur Durchführung festgehalten und mithilfe von Digital Object Identifier (DOI) sind die inkludierten Studien in der Tabelle markiert und deren Inklusion begründet. Dazu befindet sich die RTF-Datei, welche alle Studien Zitiert.

 

Begleitend zur Durchführung werden Gedanken in der Arbeitstabelle festgehalten. Mithilfe von Digital Object Identifier (DOI) sind die in der Tabelle inkludierten Studien gekennzeichnet, und deren Inklusion begründet. Zusätzlich liegt eine RTF-Datei dabei, die die Zitation aller inkludierten Studien enthält.

 

[1] M. Striewe, „Forschungsdaten in der Bildungstechnologie: Worüber sprechen wir und was ist wann relevant?“, gehalten auf der Proceedings of DELFI 2024, Gesellschaft für Informatik e.V., 2024, S. 10.18420/delfi2024_44. Zugegriffen: 1. März 2025. [Online]. Verfügbar unter: https://dl.gi.de/handle/20.500.12116/44528
DOI: 10.15468/dl.np2uxf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pheucticus ludovicianus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011991-250711103210423/datasets/export for details.
DOI: 10.15468/dl.3udx4w
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys nobilis",
 "Country is Thailand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011992-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15880690
title: Supplementary datasets for Mas e Braga et al., "Controls on fjord temperature throughout Greenland in a reduced-physics model"

description: The resulting compilation of fjord geometries and used CTD casts in "Mas e Braga et all", presented as Supporting Data Sets S1 to S3. Supporting Data Set S1 is a master spreadsheet containing the ID for all digitised fjords, grounding-line and sill depths used in the model runs, OMG IDs for every fjord and shelf casts used as forcings, as well as the gate ID for each glacier flux gate used in computing the fjords’ respective subglacial discharge. Supporting Data Sets S2 and S3 are the shapefiles of the digitised fjord outlines and lengths, respectively:
description: Data Set S1. Spreadsheet with manually picked grounding lines, sill depths, in-fjord and continental shelf OMG cast IDs, as well as gate IDs for the subglacial discharge data. Note that cast IDs also denote their date and time of collection (YYYYMMDDhhmmss), whereas fjord IDs correspond to their IDs in the fjord outline and length shapefiles (Data Sets S2 and S3). Centroid coordinates (EPSG3413 projection) for each digitised fjord are included, extracted directly from Supplementary Data Set S2, for ease of access.
description: Data Set S2. Shapefile containing all manually digitised fjord outlines.
description: Data Set S3. Shapefile containing all manually digitised fjord lengths.
DOI: 10.5281/zenodo.15880691
title: Supplementary datasets for Mas e Braga et al., "Controls on fjord temperature throughout Greenland in a reduced-physics model"

description: The resulting compilation of fjord geometries and used CTD casts in "Mas e Braga et all", presented as Supporting Data Sets S1 to S3. Supporting Data Set S1 is a master spreadsheet containing the ID for all digitised fjords, grounding-line and sill depths used in the model runs, OMG IDs for every fjord and shelf casts used as forcings, as well as the gate ID for each glacier flux gate used in computing the fjords’ respective subglacial discharge. Supporting Data Sets S2 and S3 are the shapefiles of the digitised fjord outlines and lengths, respectively:
description: Data Set S1. Spreadsheet with manually picked grounding lines, sill depths, in-fjord and continental shelf OMG cast IDs, as well as gate IDs for the subglacial discharge data. Note that cast IDs also denote their date and time of collection (YYYYMMDDhhmmss), whereas fjord IDs correspond to their IDs in the fjord outline and length shapefiles (Data Sets S2 and S3). Centroid coordinates (EPSG3413 projection) for each digitised fjord are included, extracted directly from Supplementary Data Set S2, for ease of access.
description: Data Set S2. Shapefile containing all manually digitised fjord outlines.
description: Data Set S3. Shapefile containing all manually digitised fjord lengths.
DOI: 10.15468/dl.49s7x7
title: Occurrence Download

description: A dataset containing 721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fraxinus excelsior",
 "Year 1970-2020"
 ]
}

 The dataset includes 721 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011993-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvcnk6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAC6986"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011994-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ah7d5
title: Occurrence Download

description: A dataset containing 146227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus hypnorum"
 ]
}

 The dataset includes 146227 records from 377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011898-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25398/rd.northumbria.29561747
title: Making their minds up: dataset

description: This data was collected as part of STEM outreach project called Exploring Extreme Environments initiated by Northumbria University. The project was planned as a three-year project of sustained engagement with eight primary schools in the North East of England, with the long-term aim of improving participation in STEM.
DOI: 10.25398/rd.northumbria.29561747.v1
title: Making their minds up: dataset

description: This data was collected as part of STEM outreach project called Exploring Extreme Environments initiated by Northumbria University. The project was planned as a three-year project of sustained engagement with eight primary schools in the North East of England, with the long-term aim of improving participation in STEM.