cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1057034.10fu
title: SH1057034.10FU

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/sh1057035.10fu
title: SH1057035.10FU

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/sh1057037.10fu
title: SH1057037.10FU

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/sh1057039.10fu
title: SH1057039.10FU

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/sh1057040.10fu
title: SH1057040.10FU

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.f5than
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((104.98608 -8.42903,113.12505 -8.42903,113.12505 -5.41265,104.98608 -5.41265,104.98608 -8.42903))",
 "TaxonKey is Paguma larvata"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002394-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1057042.10fu
title: SH1057042.10FU

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: 10.5281/zenodo.16931539
title: Pan-nucleotide-binding site leucine-rich repeat (NLR) in spinach
DOI: 10.5281/zenodo.16931540
title: Pan-nucleotide-binding site leucine-rich repeat (NLR) in spinach
DOI: 10.15156/bio/sh1057043.10fu
title: SH1057043.10FU

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/sh1057044.10fu
title: SH1057044.10FU

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/sh1057046.10fu
title: SH1057046.10FU

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: 10.60635/c3gs3b
title: Monthly summary_Parque Natural Metropolitano Crane

description: Parque Natural Metropolitano (PNM) Crane Station.Data Summaries, Excel spread sheet. Provides daily, monthly and yearly summaries. Contains interval averages, maximum, minimum and variability statistics, plus graphsEstablished in 1995, the PNM canopy crane (8.994410°, - 79.543000°) is located at the North central edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest.The original crane was 42 meters tall with a radius of 51 meters. In 2021 the original crane was dismantled and replaced with a new, 68m crane in Jan. 2022. The temperature and humidity were moved to the top of the crane. An anemometer was mounted near just below the crane boom.Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer)
DOI: 10.25824/redu/mcj4hi
title: Uma análise dos vídeos publicados por meliponicultores cientistas cidadãos com fim de divulgação científica

description: Os arquivos contém dados utilizados na pesquisa intitulada "Cientistas cidadãos que trabalham em prol da divulgação científica ou entusiastas amadores? Uma análise dos vídeos publicados por meliponicultores", cujo objetivo é investigar a relevância dos conteúdos produzidos por cientistas cidadãos em projetos de "contribuições colegiais" como instrumentos de divulgação científica. Os dados foram obtidos a partir de vídeos publicados no YouTube, que abordam práticas de manejo, preservação e criação de abelhas nativas. As transcrições desses vídeos foram submetidas a análises qualitativas e processadas no software NVivo, no qual foram gerados códigos e subcódigos com base nas unidades de análise definidas, permitindo a avaliação das potencialidades, desafios e impactos desses conteúdos em diferentes públicos. Por questões de proteção intelectual e restrições de direitos autorais, os dados não podem ser disponibilizados para depósito. Para mais informações, entre em contato com os responsáveis pelo estudo.
DOI: 10.60635/c3c31r
title: Monthly summary_Galeta Station

description: Galeta Island marine laboratoryData Summaries, Excel spread sheet. Provides daily, monthly and yearly summaries. Contains interval averages, maximum, minimum and variability statistics, plus graphsLocation: 9.402742°, -79.860837°Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), rainfall. Galeta Island Marine Laboratory physical monitoring station established in 1974. Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_summary_Galeta_Station/10059530
DOI: 10.15468/dl.3hf96r
title: Occurrence Download

description: A dataset containing 5465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gamochaeta pensylvanica (Willd.) Cabrera)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 5465 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008185-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.be2zpn
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is one of (6567af74-d231-4588-a123-5d0b7a095fda, 2e167bb0-4441-11db-9ba2-b8a03c50a862)",
 "Geometry POLYGON ((-122.485198974609361 47.515809462455387,-122.540130615234375 47.398349200359263,-122.528457641601562 47.375104654866931,-122.542190551757812 47.329050212185251,-122.433013916015625 47.330446391855595,-122.358856201171861 47.385333517742595,-122.448806762695312 47.513490654843267,-122.485198974609361 47.515809462455387))"
 ]
}

 The dataset includes 160 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008266-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2306020
title: Vocal Anuran Monitoring in Southeast Coast Network parks: 2022 Resource Brief for Fort Frederica National Monument

description: The National Park Service (NPS) operates 32 Inventory & Monitoring (I&M) networks across the United States encompassing over 280 parks. Each I&M network has established "vital signs" monitoring in its parks. These vital signs represent elements and processes in park ecosystems that help indicate the overall condition of park resources. Network personnel monitor physical resources and processes (e.g., shoreline erosion or water quality), biological attributes (e.g., wildlife and vegetation communities), and ecological processes (such as disturbance and productivity). The Southeast Coast Network (SECN) contains 15 parks containing natural resources, located in Alabama, Florida, Georgia, North Carolina, and South Carolina.  Each spring, SECN collects audio recording data during implementation of the SECN's Vocal Anuran Community Monitoring Protocol. Automated recording devices (ARDs) are used to capture anuran vocalizations every fourth night between March and June at up to 30 spatially-balanced random sampling locations per park. Five of the SECN's 15 parks are sampled each year on a three-year rotation. All discernable anuran vocalizations are reviewed in selected recordings and classified to species. The brief(s) contained in this repository address the following protocol objectives: (1) evaluate status of anuran community species richness during the spring breeding season and (2) assess anuran occupancy and spatial distribution at sampling locations during the breeding season.
DOI: 10.5281/zenodo.14990941
title: [IO Islamic 2130] مكتوب حضرت يحيى منيرى عزيزى

description: Maktûb-Yaḥyâ Munyarî

This manuscript is now IO Islamic 1848 in the India Office collections.

[metadata: Hermann Ethé, Catalogue of Persian Manuscripts in the Library of the India Office, 2 vols. (Oxford: India Office, 1903): volume 1, number 2130 here with notations and hyperlinks].


1848

A letter, designated in the heading as مكتوب حضرت يحيى منيرى عزيزى, which seems to indicate that it is from the pen of Shaikh Aḥmad Munyarî’s father, in answer to some questions addressed to him by his son, see the initial word:

سؤال چند از مخدوم المسلمين و المؤمنين قدوة المحققّين و المدققّين شيخ الاسلام شرف الحقّ و الدّين احمد (بن) يحيى منيرى قدّس سرّه العزيز و ايشان جواب فرموده اند حديث در عوارف نوشته است كه العشق لا محمود و لا مذموم الخ.

No date; modern transcript. College of Fort William, 1825.

No. 2130, ff. 1-4, ll. 18-21; Naskhî, mixed with Shikasta; size, 87/8 in. by 51/8 in.
DOI: 10.5281/zenodo.14990942
title: [IO Islamic 2130] مكتوب حضرت يحيى منيرى عزيزى

description: Maktûb-Yaḥyâ Munyarî

This manuscript is now IO Islamic 1848 in the India Office collections.

[metadata: Hermann Ethé, Catalogue of Persian Manuscripts in the Library of the India Office, 2 vols. (Oxford: India Office, 1903): volume 1, number 2130 here with notations and hyperlinks].


1848

A letter, designated in the heading as مكتوب حضرت يحيى منيرى عزيزى, which seems to indicate that it is from the pen of Shaikh Aḥmad Munyarî’s father, in answer to some questions addressed to him by his son, see the initial word:

سؤال چند از مخدوم المسلمين و المؤمنين قدوة المحققّين و المدققّين شيخ الاسلام شرف الحقّ و الدّين احمد (بن) يحيى منيرى قدّس سرّه العزيز و ايشان جواب فرموده اند حديث در عوارف نوشته است كه العشق لا محمود و لا مذموم الخ.

No date; modern transcript. College of Fort William, 1825.

No. 2130, ff. 1-4, ll. 18-21; Naskhî, mixed with Shikasta; size, 87/8 in. by 51/8 in.
DOI: 10.60635/c3788w
title: Monthly summary_Fortuna Station

description: Fortuna Station (Centro de Investigaciones Jorge L. Arauz)Data Summaries, Excel spread sheet. Provides daily, monthly and yearly summaries. Contains interval averages, maximum, minimum and variability statistics, plus graphsLocation: 8° 43.340'N, 82° 14.241'WParameters: air temperature, wind speed and direction, precipitation, solar radiation (pyranometer). Located in the highlands of the Chiriqui Province, in western Panama. There are three sensor locations: north clearing, south clearing, and a 15m tower.Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_summary_Fortuna_Station/10059476
DOI: 10.15468/dl.f4txfp
title: Occurrence Download

description: A dataset containing 278554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-122.485198974609361 47.515809462455387,-122.540130615234375 47.398349200359263,-122.528457641601562 47.375104654866931,-122.542190551757812 47.329050212185251,-122.433013916015625 47.330446391855595,-122.358856201171861 47.385333517742595,-122.448806762695312 47.513490654843267,-122.485198974609361 47.515809462455387))"
 ]
}

 The dataset includes 278554 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008253-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14986610
title: CIFAR10
DOI: 10.5281/zenodo.14986611
title: CIFAR10
DOI: 10.5066/p13wvac5
title: Nodal Seismometer Recordings of Aftershocks of the 5 December 2024 M 7.0 Offshore Cape Mendocino, California Earthquake

description: At 10:44:21 local time on December 5, 2024, a M 7.0 earthquake occurred approximately 70 km southwest of Ferndale, California, just west of the Mendocino Triple Junction. Starting the next day, the U.S. Geological Survey deployed nodal seismometers (nodes) in the Eel River Valley, near Cape Mendocino, and along the California Highway 101 corridor to compliment local permanent stations of the Northern California Seismic Network (NCSN). The USGS deployed a total of 114 nodal stations, each consisting of a SmartSolo IGU-16HR 3-component nodal seismometer that recorded continuously at a 500-Hz sampling rate and was time-corrected using GPS. The nodal stations, combined with the permanent network, provided more densely spaced recordings of events in the region, with the combined network recording 295 M 2.5+ aftershocks in the following ~ five weeks. Fourteen of the aftershocks were greater than M 4.0, as determined by the NCSN (https://ncedc.org/ncsn). The combined dense nodal and permanent network stations are expected to make it possible to significantly increase the number of events in, and the accuracy of, the current earthquake catalog for the region during the deployment period of approximately December 06 through January 16, 2025.
DOI: 10.15468/dl.r5vpjd
title: Occurrence Download

description: A dataset containing 1710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor (Linnaeus, 1771)"
 ]
}

 The dataset includes 1710 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008267-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbdaka
title: Occurrence Download

description: A dataset containing 355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Wullschlaegelia calcarata Benth."
 ]
}

 The dataset includes 355 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008268-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c33k60
title: Monthly summary_Bocas Station

description: Bocas del Toro Research StationData Summaries, Excel spread sheet. Provides daily, monthly and yearly summaries. Contains interval averages, maximum, minimum and variability statistics, plus graphsLocation: 9.351553°, -82.256565°Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, dissolved oxygen, turbidity, salinity, pHSensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes a meteorological tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_summary_Bocas_Station/10059464