cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1331461.10fu
title: SH1331461.10FU

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/sh1331464.10fu
title: SH1331464.10FU

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/sh1331465.10fu
title: SH1331465.10FU

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/sh1331466.10fu
title: SH1331466.10FU

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/sh1331467.10fu
title: SH1331467.10FU

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/sh1331470.10fu
title: SH1331470.10FU

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/sh1331471.10fu
title: SH1331471.10FU

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: 10.60600/yu/clawet/qekyis
title: 1056.wav

description: :unav
DOI: 10.15468/dl.yt62mv
title: Occurrence Download

description: A dataset containing 1849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Androsace pyrenaica Lam., Saxifraga androsacea var. pyrenaica (Scop) Nyman, Saxifraga androsacea f. pyrenaica (Scop) Bolzon)"
 ]
}

 The dataset includes 1849 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091424-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c72sva
title: Occurrence Download

description: A dataset containing 406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus coccifera L."
 ]
}

 The dataset includes 406 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091426-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/7l9sso
title: 0951.TextGrid

description: :unav
DOI: 10.15468/dl.yn292y
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus ithaburensis Decne."
 ]
}

 The dataset includes 107 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091427-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/7itklu
title: 0693.TextGrid

description: :unav
DOI: 10.15468/dl.wegaac
title: Occurrence Download

description: A dataset containing 715322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 715322 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091378-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tj7g5c
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus trojana Webb"
 ]
}

 The dataset includes 45 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091429-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2d9wb7
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Androsace sarmentosa Wall., Androsace sarmentosa subsp. sarmentosa, Androsace sarmentosa subsp. primuloides (Duby) Govaerts, Androsace sarmentosa var. yunnanensis R.Knuth, Androsace sarmentosa var. stenophylla Petitm., Androsace sarmentosa var. thibetensis Petitm., Androsace sarmentosa var. grandifolia Hook.fil., Androsace sarmentosa var. primuloides (Duby) Hook.fil., Androsace sarmentosa var. laxiflora Petitm., Androsace sarmentosa var. watkinsii Hook.fil., Androsace sarmentosa var. chumbyi Anon., Androsace sarmentosa var. foliosa (Duby ex Decne.) Hook.fil., Androsace sarmentosa var. chumbyi Fitzh., Androsace sarmentosa var. duby Dergnac)"
 ]
}

 The dataset includes 435 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091428-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nedhgf
title: Occurrence Download

description: A dataset containing 118877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, Svalbard and Jan Mayen, Portugal, Spain, France, Germany, Belgium, Netherlands, Denmark, Estonia, Latvia, Lithuania, Italy, Greece, Cyprus, Türkiye, Russian Federation, Ukraine, Romania, Bulgaria, Albania, Croatia, Austria, Slovakia, Poland)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salix aurita L."
 ]
}

 The dataset includes 118877 records from 601 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091402-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/buzbof
title: 0875.wav

description: :unav
DOI: 10.48597/qp84-u7za
title: Measurement of Heavy metals at Chilbolton Observatory

description: Measurement of Heavy metals at Chilbolton Observatory
DOI: 10.60600/yu/clawet/phvw0e
title: 0621.wav

description: :unav
DOI: 10.15468/dl.stnpu8
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malawi",
 "TaxonKey is Trigonoceps occipitalis (Burchell, 1824)",
 "Year 2010-2024"
 ]
}

 The dataset includes 58 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091431-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/7gtxw1
title: 0957.wav

description: :unav
DOI: 10.60600/yu/clawet/qsp01g
title: 0942.TextGrid

description: :unav
DOI: 10.15468/dl.b76z6k
title: Occurrence Download

description: A dataset containing 324180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is May",
 "TaxonKey is Plantae",
 "Year 2024-2024"
 ]
}

 The dataset includes 324180 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091409-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/dpttmc
title: 1047.TextGrid

description: :unav
DOI: 10.15468/dl.33rsnf
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Androstephium caeruleum (Scheele) Greene, Androstephium caeruleum f. leucanthum Benke)"
 ]
}

 The dataset includes 167 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091432-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/ta8prb
title: 0702.wav

description: :unav
DOI: 10.60600/yu/clawet/dtelbs
title: 0836.wav

description: :unav
DOI: 10.60600/yu/clawet/a8jw0a
title: 0774.wav

description: :unav
DOI: 10.60600/yu/clawet/9eaatp
title: 0656.wav

description: :unav
DOI: 10.60600/yu/clawet/btyr0j
title: 0647.wav

description: :unav
DOI: 10.60600/yu/clawet/ewj0n2
title: 0883.wav

description: :unav
DOI: 10.17632/fk29shm2kn.1
title: Labelled dataset of animal images for detecting their presence on streets

description: The Safety of street animals is a critical issue as it highlights the importance of technology in human-animal interaction. This dataset highlights the significance of understanding and enhancing the safety of street animals through the lens of machine learning applications, particularly focusing on using night vision images to detect and identify these animals in urban environments. This study aims to contribute to developing innovative technologies that can improve the detection and monitoring of animals, thereby reducing the risk of accidents and enhancing their safety.
DOI: 10.60600/yu/clawet/cg1w0z
title: 0718.TextGrid

description: :unav
DOI: 10.5281/zenodo.10961090
title: Data for lodubay/galactic-dtd: Multi-Zone Galactic Chemical Evolution Model Outputs and APOGEE Sample

description: Data for lodubay/galactic-dtd, a project exploring different models for the Type Ia supernova delay-time distribution (DTD) in multi-zone galactic chemical evolution models with the VICE package. This dataset contains two files: multizone.tar.gz is a compressed archive of all 33 multi-zone outputs (combinations of 8 DTDs x 4 star formation histories, plus one with an alternate stellar migration scheme), and sample.csv contains chemical abundance data from the APOGEE survey (data release 17) and stellar ages from Leung et al. (2023). This project is made reproducible with showyourwork, which will automatically download and extract all data from this deposit when it builds the article.

This version contains a minor update to the APOGEE sample file.
DOI: 10.5281/zenodo.12207380
title: Data for lodubay/galactic-dtd: Multi-Zone Galactic Chemical Evolution Model Outputs and APOGEE Sample

description: Data for lodubay/galactic-dtd, a project exploring different models for the Type Ia supernova delay-time distribution (DTD) in multi-zone galactic chemical evolution models with the VICE package. This dataset contains two files: multizone.tar.gz is a compressed archive of all 33 multi-zone outputs (combinations of 8 DTDs x 4 star formation histories, plus one with an alternate stellar migration scheme), and sample.csv contains chemical abundance data from the APOGEE survey (data release 17) and stellar ages from Leung et al. (2023). This project is made reproducible with showyourwork, which will automatically download and extract all data from this deposit when it builds the article.

This version contains a minor update to the APOGEE sample file.
DOI: 10.60600/yu/clawet/vuvfjf
title: 0770.wav

description: :unav
DOI: 10.60600/yu/clawet/hay5p9
title: 0635.TextGrid

description: :unav
DOI: 10.15468/dl.dadgfy
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Agave angustiarum Trel."
 ]
}

 The dataset includes 238 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091434-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/drdoxg
title: 0657.wav

description: :unav
DOI: 10.60600/yu/clawet/twjxjs
title: 0811.TextGrid

description: :unav
DOI: 10.5281/zenodo.12514550
title: Turkiye, Regional Domestic Input Output Tables, 2022, 26 Region, 62 X 62 Matris
title: Türkiye, Bölgesel Yurtiçi Girdi Çıktı Tabloları, 2022, 26 Bölge, 62 X 62 Matris

description: Regional data is crucial for conducting inter-regional economic analyses, understanding productivity, wages, and minimum wage dynamics, assessing the impact of unforeseen events like natural disasters, comparing sectors, and evaluating development levels. Supply-use tables, employment, and demographic statistics are the most commonly used data sources for these analyses.

To address these needs and for my own economic analyses, I have created regional supply-use tables at the province level. Additionally, I have generated domestic input-output tables using the NUTS 2 regional classification for conducting regional and inter-regional analyses in Turkiye.

Scope of the Research

This research presents domestic input-output tables for 62 industries in 26 NUTS 2 regions of Turkiye for the year 2022.

Methodology

Regional accounts are published at the A10 level for every province in Turkey. In the Input-Output tables, which consist of 62 sectors, the input-output distribution has been conducted on a sector basis to derive the total at the A10 level. The estimations at the provincial level are automatically derived from regional accounts data.

The NUTS 2 level regional input-output data have been published and disseminated with an A62 matrix. Additionally, province-level input-output data have been published and disseminated with an A62 matrix through the application. After summations the regional input output tables have been estimated.

Application

The link to the relevant application is attached:

https://turkiye.streamlit.app/
DOI: 10.5281/zenodo.12514551
title: Turkiye, Regional Domestic Input Output Tables, 2022, 26 Region, 62 X 62 Matris
title: Türkiye, Bölgesel Yurtiçi Girdi Çıktı Tabloları, 2022, 26 Bölge, 62 X 62 Matris

description: Regional data is crucial for conducting inter-regional economic analyses, understanding productivity, wages, and minimum wage dynamics, assessing the impact of unforeseen events like natural disasters, comparing sectors, and evaluating development levels. Supply-use tables, employment, and demographic statistics are the most commonly used data sources for these analyses.

To address these needs and for my own economic analyses, I have created regional supply-use tables at the province level. Additionally, I have generated domestic input-output tables using the NUTS 2 regional classification for conducting regional and inter-regional analyses in Turkiye.

Scope of the Research

This research presents domestic input-output tables for 62 industries in 26 NUTS 2 regions of Turkiye for the year 2022.

Methodology

Regional accounts are published at the A10 level for every province in Turkey. In the Input-Output tables, which consist of 62 sectors, the input-output distribution has been conducted on a sector basis to derive the total at the A10 level. The estimations at the provincial level are automatically derived from regional accounts data.

The NUTS 2 level regional input-output data have been published and disseminated with an A62 matrix. Additionally, province-level input-output data have been published and disseminated with an A62 matrix through the application. After summations the regional input output tables have been estimated.

Application

The link to the relevant application is attached:

https://turkiye.streamlit.app/
DOI: 10.60600/yu/clawet/hznuge
title: 0909.TextGrid

description: :unav
DOI: 10.17632/vjgn3325zn.3
title: Hinglish_Vocab

description: Unique Words and Phrases: 42041 and 10001
3-Word Sentences, 4-Word and Above Sentences: 565097,6604189
Numerical Symbols and other symbols of Hinglish:5613
DOI: 10.60600/yu/clawet/i5sbz2
title: 1005.TextGrid

description: :unav
DOI: 10.15468/dl.ucsken
title: Occurrence Download

description: A dataset containing 9883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, Svalbard and Jan Mayen, Portugal, Spain, France, Germany, Belgium, Netherlands, Denmark, Estonia, Latvia, Lithuania, Italy, Greece, Cyprus, Türkiye, Russian Federation, Ukraine, Romania, Bulgaria, Albania, Croatia, Austria, Slovakia, Poland)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salix hastata L."
 ]
}

 The dataset includes 9883 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091435-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/ybeb5y
title: 0666.wav

description: :unav
DOI: 10.60600/yu/clawet/5trzck
title: 0997.TextGrid

description: :unav
DOI: 10.15468/dl.hrhqyt
title: Occurrence Download

description: A dataset containing 1316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Cordia lutea Lam."
 ]
}

 The dataset includes 1316 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091436-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.