cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mugvv5
title: Occurrence Download

description: A dataset containing 9626 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphonia musica (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 9626 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011695-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4dfbg
title: Occurrence Download

description: A dataset containing 3024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus shumardii Buckley)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 3024 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011696-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14799217
title: US DOE Energy Justice Mapping Tool for Schools

description: U.S. Department of Energy (DOE) has developed the “Energy Justice Mapping Tool for Schools” that builds on DOE’s original “Energy Justice Mapping Tool”. This tool is intended to allow users to explore and produce reports for a specific school facility which include but are not limited to the following metrics: whether the school is located in a Disadvantaged Community (DAC), whether it is in a rural location (coded as 41, 42, 43), whether it is designated as a community shelter, and whether the school qualifies for Title I Schoolwide programming.


https://web.archive.org/web/20250122042022/https://energyjustice-schools.egs.anl.gov/
DOI: 10.5281/zenodo.14799218
title: US DOE Energy Justice Mapping Tool for Schools

description: U.S. Department of Energy (DOE) has developed the “Energy Justice Mapping Tool for Schools” that builds on DOE’s original “Energy Justice Mapping Tool”. This tool is intended to allow users to explore and produce reports for a specific school facility which include but are not limited to the following metrics: whether the school is located in a Disadvantaged Community (DAC), whether it is in a rural location (coded as 41, 42, 43), whether it is designated as a community shelter, and whether the school qualifies for Title I Schoolwide programming.


https://web.archive.org/web/20250122042022/https://energyjustice-schools.egs.anl.gov/
DOI: 10.5281/zenodo.14799205
title: US DOE Local Investments Map for Demonstration and Deployment Projects

description: The interactive map shows where, through the Infrastructure Investment and Jobs Act (IIJA) and Inflation Reduction Act (IRA) funding, the U.S. Department of Energy (DOE) is investing in communities across the country. This map identifies where DOE’s demonstration and deployment investments are occurring and includes high-level snapshots of the local benefits that may be associated with these investments. The projects on this map represent a subset of the publicly announced IIJA and IRA selected and awarded projects.


https://web.archive.org/web/20250121080316/https://www.energy.gov/infrastructure/local-investments-map-demonstration-and-deployment-projects

A form of the map is still available here: https://s3cbpmap.loanprograms.energy.gov/Content/Home.html

This repository contains the data records behind the map.

Data documentation: https://web.archive.org/web/20250121083542/https://www.energy.gov/sites/default/files/2025-01/DOE%20Local%20Investments%20DD%20Data%20Documentation%20-%20Jan%202025.pdf
DOI: 10.5281/zenodo.14799206
title: US DOE Local Investments Map for Demonstration and Deployment Projects

description: The interactive map shows where, through the Infrastructure Investment and Jobs Act (IIJA) and Inflation Reduction Act (IRA) funding, the U.S. Department of Energy (DOE) is investing in communities across the country. This map identifies where DOE’s demonstration and deployment investments are occurring and includes high-level snapshots of the local benefits that may be associated with these investments. The projects on this map represent a subset of the publicly announced IIJA and IRA selected and awarded projects.


https://web.archive.org/web/20250121080316/https://www.energy.gov/infrastructure/local-investments-map-demonstration-and-deployment-projects

A form of the map is still available here: https://s3cbpmap.loanprograms.energy.gov/Content/Home.html

This repository contains the data records behind the map.

Data documentation: https://web.archive.org/web/20250121083542/https://www.energy.gov/sites/default/files/2025-01/DOE%20Local%20Investments%20DD%20Data%20Documentation%20-%20Jan%202025.pdf
DOI: 10.15468/dl.w79v3e
title: Occurrence Download

description: A dataset containing 7264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus velutina Lam.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 7264 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011697-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3410024701-eng
title: Information system(s) used for management for municipally owned solid waste assets, by urban and rural, and population size, Infrastructure Canada, inactive

description: Information system(s) used for management of municipally owned solid waste assets for all provinces and territories, by urban and rural and population size. Values are presented for 2016.
DOI: 10.15468/dl.eu69ph
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is one of (Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), MEXU/Asteraceae, Catálogo electrónico de especímenes depositados en el Herbario de la Universidad de Texas en Austin, Fase IV (Ejemplaresimagenes), EOD – eBird Observation Dataset, Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Computarización de colecciones y adquisición de infraestructura (mobiliario) para el herbario CIIDIR-Durango, Etapa final de la captura y catalogación del Herbario del Instituto de Ecología, A.C., Centro Regional del Bajío, Plant Resources Center, Tropicos MO Specimen Data)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cosmos bipinnatus Cav."
 ]
}

 The dataset includes 511 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011698-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtdyfv
title: Occurrence Download

description: A dataset containing 133224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belize",
 "DatasetKey is EOD – eBird Observation Dataset",
 "IucnRedListCategory is one of (EN, VU, NT)",
 "Year 2018-2025"
 ]
}

 The dataset includes 133224 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011672-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8ej8r
title: Occurrence Download

description: A dataset containing 100627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Issue is one of (Geodetic datum assumed WGS84, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Tursiops truncatus (Montagu, 1821)",
 "Year 2000-2024"
 ]
}

 The dataset includes 100627 records from 568 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011598-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.truwbr
title: Occurrence Download

description: A dataset containing 30170419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30170419 records from 2596 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011568-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/22smjx
title: New species of Nothobrya (Collembola: Entomobryidae) from Southeast Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Silveira, Tatiana Cristina da, Mendonça, Maria Cleide de (2016): New species of Nothobrya (Collembola: Entomobryidae) from Southeast Brazil. Zoologia (e 20160126) 33 (6): 1-6, DOI: 10.1590/S1984-4689zool-20160126, URL: http://zoobank.org/4187e372-19ba-446c-bc7d-f4fcbd2c6aa0
DOI: 10.15468/49tb9b
title: Descriptions of new gynandromorphs of Xylocopa augusti Lepeletier (Hymenoptera: Apidae: Xylocopini) from Argentina

description: This dataset contains the digitized treatments in Plazi based on the original journal article Almada, Valentín, Ramello, Pablo José, González, Víctor Hugo, Lucia, Mariano (2022): Descriptions of new gynandromorphs of Xylocopa augusti Lepeletier (Hymenoptera: Apidae: Xylocopini) from Argentina. Papéis Avulsos de Zoologia 62: 1-7, DOI: 10.11606/1807-0205/2022.62.058, URL: http://dx.doi.org/10.11606/1807-0205/2022.62.058Abstract. Gynandromorphs are individuals that display both male and female features throughout the body and are rarely found in nature. We document and describe two new gynandromorphs of the large carpenter bee Xylocopa (Neoxylocopa) augusti reared from a trap-nest in La Plata, Buenos Aires, Argentina. In addition, based on a literature review, we assessed the frequency of the different types of gynandromorphs, and the body part affected, among large carpenter bees. Both gynandromorphs were assigned to the mixed category, the most common category reported in the literature (22 of 25 specimens).The remaining three specimens exhibit a bilateral pattern in all tagmata.The presence of both sexes′ secondary sexual characteristics occurred more frequently on the mesosoma than on the head or metasoma.Trap nests used in bee hotels promote the conservation and study of wild bees and might facilitate the discovery of rare cases of gynandromorphs that would remain unknown otherwise under normal nesting conditions in the wild.
DOI: 10.15468/4w9x2d
title: Redescription and neotype designation of Suphis fluviatilis Guignot, 1948 (Coleoptera: Dytiscoidea: Noteridae) and notes on other species of the genus

description: This dataset contains the digitized treatments in Plazi based on the original journal article Urcola, Juan I., Guimarães, Bruno A. C., Torres, Patricia L. M., Fery, Hans, Michat, Mariano C. (2023): Redescription and neotype designation of Suphis fluviatilis Guignot, 1948 (Coleoptera: Dytiscoidea: Noteridae) and notes on other species of the genus. Zootaxa 5374 (1): 137-147, DOI: 10.11646/zootaxa.5374.1.9, URL: https://www.mapress.com/zt/article/download/zootaxa.5374.1.9/52282AbstractSuphis fluviatilis Guignot, 1948 was described based on a single female specimen, and according to the author, the type was deposited in the Museum National d’Histoire Naturelle (Paris, France). However, the diagnostic features of the specimen deposited under this name and provided with the respective labels deviate considerably from those given by Guignot in his original description. It is shown that this specimen belongs to Suphis notaticollis Zimmermann, 1921, confirming previous observations by Luis Grosso in 1980. Thus, a neotype of S. fluviatilis is designated to avoid instability of the nomenclature by the impending synonymy of S. fluviatilis with S. notaticollis. Suphis fluviatilis is redescribed in detail, including illustrations of the main diagnostic characters. The species is compared with other Neotropical Suphis species, in particular with S. notaticollis. Additionally, the male genitalia of Suphis intermedius Régimbart, 1903 are described for the first time, and a first record from Paraguay is given.
DOI: 10.15468/cwqcnb
title: Skenea profunda (Vetigastropoda: Skeneidae) in the central Arctic

description: This dataset contains the digitized treatments in Plazi based on the original journal article Nekhaev, Ivan O. (2022): Skenea profunda (Vetigastropoda: Skeneidae) in the central Arctic. Ruthenica, Russian Malacological Journal (Weinheim an der Bergstrasse, Germany) 32 (2): 105-109, DOI: 10.35885/ruthenica.2022.32(3).2, URL: http://dx.doi.org/10.35885/ruthenica.2022.32(3).2ABSTRACT. This paper describes finding of 3 specimens of Skenea profunda (Friele, 1879) in the Arctic Basin from a depth of 3700-3800 m. The species had been previously reliably known only from the bathyal part of the North Atlantic and is confined to communities of sunken wood. This is the second finding of a taxon obligate for such habitats in the Arctic Ocean and confirms the assumption that there is a fauna associated with wood falls on the path of the Transpolar Drift Flow in the Central Arctic.https://doi.org/ 10.35885/ruthenica.2022.32(3).2Skenea profunda (Vetigastropoda: Skeneidae) в центральной АрктикеИ.О. НЕХАЕВСанкт-ПетербурГский ГОсударственный университет, 199034, Университетская наб., 7-9, Санкт-ПетербурГ, РОССИЙСКАЯ ФЕДЕРАЦИЯ. E-mail: inekhaev@ gmail.comРЕЗЮМЕ. В работе описана находка трёх ЭкЗем- плЯров Skenea profunda (Friele, 1879) в открытой части Северного ледовитого океана с глубины 3700-3800 м. Skenea profunda ранее достоверно был иЗвестен только иЗ батиальной части северной Атлантики и приурочен к сообЩествам Затопленной древесины. Это втораЯ находка таксона, облигатного длЯ таких местообитаний в Северном ледовитом океане, что подтверждает предположение о наличии специальной длЯ мёртвой древесины фауны на пути ТрансполЯрного дрейфового потока в центральной Арктике.
DOI: 10.15468/wc9svb
title: Amana yunjuensis (Liliaceae), a new species from Jiangxi, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Song, Xiangwen, Li, Bing, Wang, Wei, Xu, Tao, Shen, Xiaoxiao, Han, Bangxing, Yi, Shanyong (2024): Amana yunjuensis (Liliaceae), a new species from Jiangxi, China. Phytotaxa 644 (3): 229-235, DOI: 10.11646/phytotaxa.644.3.6, URL: http://dx.doi.org/10.11646/phytotaxa.644.3.6AbstractAmana yunjuensis is a newly discovered species from Mount Yunju, Jiangxi Province, China. It initiates growth in a different period than other species and has similarities to A. anhuiensis, both possessing two leaves and three bracts. However, A. yunjuensis is distinguished by its larger bulbs that are papery outside and glabrous inside. Additionally, the lower leaf of this species attains its broadest point two-thirds of the way from its base. The flowers of A. yunjuensis are typically solitary, occasionally in pairs, and have a non-oblique white stigma.
DOI: 10.15468/2kv69p
title: A male of Engertia setifera (Coleoptera: Scarabaeidae: Melolonthinae) from Seram Island, Indonesia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Prokofiev, Artem M. (2015): A male of Engertia setifera (Coleoptera: Scarabaeidae: Melolonthinae) from Seram Island, Indonesia. Baltic Journal of Coleopterology 15 (1): 25-28, DOI: 10.5281/zenodo.10905178
DOI: 10.15156/bio/sh0178784.10fu
title: SH0178784.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0178785.10fu
title: SH0178785.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0178786.10fu
title: SH0178786.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0178787.10fu
title: SH0178787.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0178788.10fu
title: SH0178788.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.dqc8tm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
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 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001640-260108223611665/datasets/export for details.