cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2dr2pb4x
title: NOAA Optimum Interpolation Sea Surface Temperature (OISST) V2

description: A weekly 1 degree spatial resolution optimum interpolation (OI) sea surface temperature (SST) analysis has been produced at the National Oceanic and Atmospheric Administration (NOAA) using both in situ and satellite data from November 1981 to the present. The weekly product has been available since 1993 and is widely used for weather and climate monitoring and forecasting. Errors in the satellite bias correction and the sea ice to SST conversion algorithm are discussed, and then an improved version of the OI analysis is developed. The changes result in a modest reduction in the satellite bias that leaves small global residual biases of roughly -0.03 degrees Celsius (C). The major improvement in the analysis occurs at high latitudes due to the new sea ice algorithm where local differences between the old and new analysis can exceed 1 C. Comparisons with other SST products are needed to determine the consistency of the OI. These comparisons show that the differences among products occur on large time- and space scales with monthly root mean square differences exceeding 0.5 C in some regions. These regions are primarily the mid- and high-latitude Southern Oceans and the Arctic where data are sparse, as well as high gradient areas such as the Gulf Stream and Kuroshio where the gradients cannot be properly resolved on a 1 degree grid. In addition, globally averaged differences of roughly 0.05 C occur among the products on decadal scales. These differences primarily arise from the same regions where the rms differences are large. However, smaller unexplained differences also occur in other regions of the midlatitude Northern Hemisphere where in situ data should be adequate.
 Citation: Reynolds, R.W., N.A. Rayner, T.M. Smith, D.C. Stokes, and W. Wang, 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15, 1609-1625.
DOI: 10.26093/cds/vizier.36300089
title: WASP-12b and WASP-43b griz light curves

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' Multicolour photometry for exoplanet candidate validation.' (bibcode: 2019A&A...630A..89P)
DOI: 10.15468/dl.s8agr5
title: Occurrence Download

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

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021007-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5f766m2r
title: MassIVE MSV000099292 - Integrated PhosphoProteomic and Kinase Expression Networks Reveal Partial EMT and Adaptive Growth Programs in Pediatric Peutz-Jeghers Polyps
title: Peutz Jeghers syndrome PJS is a rare inherited cancer predisposing disorder. The molecular mechanisms driving polyp initiation and growth are poorly understood thus limiting biomarker identification and pharmacologic strategies to reduce disease burden. We performed mass spectrometry based proteomic and phosphoproteomic profiling of intestinal polyp and adjacent non polyp mucosa from pediatric PJS patients undergoing therapeutic endoscopy polypectomy. Data were integrated through a bioinformatic pipeline and network analyses to identify differential kinase activity, phosphopeptide enrichment, and signaling nodes relevant to polyp growth.
DOI: 10.26093/cds/vizier.36350076
title: LOFAR census of pulsars at low frequencies

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' A census of the pulsar population observed with the international LOFAR station FR606 at low frequencies (25-80 MHz).' (bibcode: 2020A&A...635A..76B)
DOI: 10.26093/cds/vizier.36410116
title: Titan middle atmosphere thermal field

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' Temperature and chemical species distributions in the middle atmosphere observed during Titan's late northern spring to early summer.' (bibcode: 2020A&A...641A.116V)
DOI: 10.15468/dl.53pfrp
title: Occurrence Download

description: A dataset containing 30960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carpobrotus edulis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 30960 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021008-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16952507
title: Small-plot observations of Fusarium head blight (FHB) of wheat in the United States

description: This curated dataset was derived from observations in fungicide-untreated plots managed by cooperators in the Integrated Management Coordinated Project (IM-CP) of the U.S. Wheat & Barley Scab Initiative (USWBSI). The original data from project cooperators were subsequently cleaned, error-checked, and augmented with associated environmental variables.
DOI: 10.15468/dl.wjnzh3
title: Occurrence Download

description: A dataset containing 30960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carpobrotus edulis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 30960 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021009-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr8d9t
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepomis macrochirus",
 "Country is Panama",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021011-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p14vjyl7
title: Acoustic-tagged juvenile late-fall Chinook salmon (Oncorhynchus tshawutscha) detections in Shasta Reservoir, McCloud River, CA, 2017-2018, 2024-2025

description: Three studies were conducted in Shasta Reservoir in California to evaluate downstream migration and behavior of juvenile late-fall run Chinook salmon (Oncorhynchus tshawutscha) released in the McCloud River upstream of Shasta Dam in Spring 2017, Fall 2017, and Fall 2024. The goal of this study was to collect data beneficial for citing a juvenile salmon collection system for downstream passage. Under current operations, juvenile salmon cannot pass Shasta Dam without a major flow event causing Shasta Dam to go into flood control. Due to this lack of passage, acoustic receivers were deployed throughout Shasta Reservoir and in its tributaries, Pit Arm, McCloud Arm, and Sacramento Arm, to estimate the survival of salmon during downstream migration. A receiver was also deployed downstream of Shasta Dam to detect any potential fish passing through.
DOI: 10.15468/dl.4utkeb
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhithrogena parva",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 40 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021013-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mf565p
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021012-250920141307145/datasets/export for details.
DOI: 10.15468/dl.umjc4m
title: Occurrence Download

description: A dataset containing 3590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caulerpa racemosa)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3590 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021014-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48420/27317175
title: Research data supporting the publication "Enhanced spin lifetime in colloidal quantum dots by growth from singly Mn-doped molecular cluster seeds"

description: Doped colloidal quantum dots (CQDs) are promising spin-photon interfaces, combining excellent optical properties and a substrate-free, nano-positionable platform. Here, we report the synthesis of InP/ZnSeS core-shell CQDs from zinc sulphide based seed clusters containing single Mn(II) ions. The resulting doped CQDs demonstrate photoluminescence quantum yields up to 70%, a spin-lattice lifetime of 22 ms and a spin coherence lifetime of 2.7 μs, greater than and similar to the best yet reported for Mn-doped CQD systems, respectively. These spin lifetimes were achieved despite the high nuclear spin of InP, demonstrating the effectiveness of the ZnS cluster in shielding the Mn from its environment.
DOI: 10.48420/27317175.v1
title: Research data supporting the publication "Enhanced spin lifetime in colloidal quantum dots by growth from singly Mn-doped molecular cluster seeds"

description: Doped colloidal quantum dots (CQDs) are promising spin-photon interfaces, combining excellent optical properties and a substrate-free, nano-positionable platform. Here, we report the synthesis of InP/ZnSeS core-shell CQDs from zinc sulphide based seed clusters containing single Mn(II) ions. The resulting doped CQDs demonstrate photoluminescence quantum yields up to 70%, a spin-lattice lifetime of 22 ms and a spin coherence lifetime of 2.7 μs, greater than and similar to the best yet reported for Mn-doped CQD systems, respectively. These spin lifetimes were achieved despite the high nuclear spin of InP, demonstrating the effectiveness of the ZnS cluster in shielding the Mn from its environment.
DOI: 10.48420/27317175.v2
title: Research data supporting the publication "Enhanced spin lifetime in colloidal quantum dots by growth from singly Mn-doped molecular cluster seeds"

description: Doped colloidal quantum dots (CQDs) are promising spin-photon interfaces, combining excellent optical properties and a substrate-free, nano-positionable platform. Here, we report the synthesis of InP/ZnSeS core-shell CQDs from zinc sulphide based seed clusters containing single Mn(II) ions. The resulting doped CQDs demonstrate photoluminescence quantum yields up to 70%, a spin-lattice lifetime of 22 ms and a spin coherence lifetime of 2.7 μs, greater than and similar to the best yet reported for Mn-doped CQD systems, respectively. These spin lifetimes were achieved despite the high nuclear spin of InP, demonstrating the effectiveness of the ZnS cluster in shielding the Mn from its environment.
DOI: 10.15468/dl.zmcn63
title: Occurrence Download

description: A dataset containing 18665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centaurea solstitialis L.)",
 "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 18665 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008157-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14095217
title: Twiter Dataset on climate change discussions: COP27, IPCC, climate refugees and Doñana - Clint project

description: CLINT Data

This repository contains the date used in the project CLINT and the paper  "A cross-platform analysis of polarization and echo chambers in climate change discussions"  

Open Twitter Data

We used the Twitter’s search to gather historical tweets and the streaming API to follow specified accounts and also collect in real-time tweets that mention specific keywords. To comply with Twitter’s Terms of Service, we are only publicly releasing the tweet IDs of the collected tweets. The data is released for non-commercial research use. 

With Twitter's changes to its Academic API policies, it’s no longer possible to collect or rehydrate tweets as we usually did, however we open data in case at some point it will become feasible to do it.




 
IPCC
Doñana
Climate Refugees
COP27


Number of tweets
352,723 
1,487,425
1,938,932
6,225,508 


Number of authors
157,056
290,782
841,454 
1,351,903 


First tweet date
2023-03-18
2019-01-01
2008-03-10 
2022-09-01 


Last tweet date
2023-03-26
2023-04-30
2022-12-31 
2022-11-27
DOI: 10.5281/zenodo.14095218
title: Twiter Dataset on climate change discussions: COP27, IPCC, climate refugees and Doñana - Clint project

description: CLINT Data

This repository contains the date used in the project CLINT and the paper  "A cross-platform analysis of polarization and echo chambers in climate change discussions"  

Open Twitter Data

We used the Twitter’s search to gather historical tweets and the streaming API to follow specified accounts and also collect in real-time tweets that mention specific keywords. To comply with Twitter’s Terms of Service, we are only publicly releasing the tweet IDs of the collected tweets. The data is released for non-commercial research use. 

With Twitter's changes to its Academic API policies, it’s no longer possible to collect or rehydrate tweets as we usually did, however we open data in case at some point it will become feasible to do it.




 
IPCC
Doñana
Climate Refugees
COP27


Number of tweets
352,723 
1,487,425
1,938,932
6,225,508 


Number of authors
157,056
290,782
841,454 
1,351,903 


First tweet date
2023-03-18
2019-01-01
2008-03-10 
2022-09-01 


Last tweet date
2023-03-26
2023-04-30
2022-12-31 
2022-11-27
DOI: 10.15468/dl.cprxca
title: Occurrence Download

description: A dataset containing 501662394 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plantae"
 ]
}

 The dataset includes 501662394 records from 16622 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010959-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0182741.10fu
title: SH0182741.10FU

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/sh0182742.10fu
title: SH0182742.10FU

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/sh0182743.10fu
title: SH0182743.10FU

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/sh0182744.10fu
title: SH0182744.10FU

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/sh0182745.10fu
title: SH0182745.10FU

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/sh0182746.10fu
title: SH0182746.10FU

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/sh0182747.10fu
title: SH0182747.10FU

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.