cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5zp3mh
title: Occurrence Download

description: A dataset containing 15783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tachysurus tokiensis, Rhodeus smithii, Tachysurus nudiceps, Rhodeus sciosemus, Pungtungia hilgendorfi, Cobitis delicata, Pseudorasbora pugnax, Biwia tama, Pungtungia shiraii, Cobitis matsubarae, Nipponocypris koreanus, Carassius cuvieri, Misgurnus amamianus, Phalloceros lucenorum, Rineloricaria jaraguensis, Cichla jariina, Laimosemion jauaperi, Iracema caiana, Hemibagrus planiceps, Ompok hypophthalmus, Glyptothorax robustus, Acrochordonichthys ischnosoma, Hemileiocassis panjang, Mystus abbreviatus, Kryptopterus mononema, Pangio robiginosa, Lobocheilos lehat, Pangio kuhlii, Rhamdia xetequepeque, Triplophysa parvus, Platysmacheilus zhenjiangensis, Galaxias brevissimus, Schizothorax puncticulatus, Schistura hingi, Parosphromenus alfredi, Danionella priapus, Clarotes bidorsalis, Pardiglanis tarabinii, Pseudotocinclus juquiae, Campellolebias intermedius, Rineloricaria microlepidota, Apteronotus jurubidae, Chaetostoma niveum, Rineloricaria sneiderni, Cetopsis jurubidae, Cynopotamus juruenae, Atlantirivulus lazzarotoi, Listrura costai, Hyphessobrycon wosiackii, Pristolepis pentacantha, Danio flagrans, Zaireichthys kafuensis, Nothobranchius kafuensis, Paradoxoglanis cryptus, Synodontis ruandae, Sternarchogiton zuanoni, Synodontis levequei, Gastromyzon umbrus, Leiocassis collinus, Hemimyzon indicus, Laubuka parafasciata, Pterocryptis subrisa, Neolissochilus kaladanensis, Pseudolaguvia nubila, Waikhomia hira, Hypselobarbus nasutus, Garra nepalensis, Betta anabatoides, Nemacheilus saravacensis, Clupeichthys bleekeri, Betta uberis, Thryssocypris ornithostoma, Parosphromenus quindecim, Hemirhamphodon tengah, Parosphromenus kishii, Parosphromenus opallios, Betta obscura, Betta pallifina, Silurichthys ligneolus, Sundasalanx megalops, Parosphromenus pahuensis, Clarias pseudoleiacanthus, Sundasalanx mesops, Nematabramis borneensis, Garra palaruvica, Rasboroides vaterifloris, Rasbora armitagei, Orthochromis kimpala, Psilorhynchus kamengensis, Olyra parviocula, Schistura rebuw, Nemacheilus troglocataractus, Schistura jarutanini, Hyalobagrus leiacanthus, Homalopteroides yuwonoi, Crossocheilus microstoma, Pao bergii, Gyrinocheilus pustulosus, Breitensteinia hypselurus, Clarias kapuasensis)",
 "HasCoordinate is true",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 15783 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058758-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1062666.10fu
title: SH1062666.10FU

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/sh1062668.10fu
title: SH1062668.10FU

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/sh1062673.10fu
title: SH1062673.10FU

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/sh1062674.10fu
title: SH1062674.10FU

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/sh1062675.10fu
title: SH1062675.10FU

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/sh1062676.10fu
title: SH1062676.10FU

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/sh1062677.10fu
title: SH1062677.10FU

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/sh1062678.10fu
title: SH1062678.10FU

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.wrtskw
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Nicaragua",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012252-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25422/azu.data.21498258
title: Perception of all Dutch sounds in all preceding and following phonological environments ('Dutch diphones data')

description: A common view in psycholinguistic models of spoken-word recognition is that speech decoding is essentially phonemic: the speech signal is mapped onto intermediate phonemic representations, which in turn are used to access phonemically coded lexical representations. Several types of evidence indicate, however, that acoustic-phonetic information is passed to the mental lexicon continuously, as it becomes available in the speech signal. This is not to say, however, that phonemes have no role to play in lexical access. The view that speech decoding is essentially phonemic captures the important fact that differences in the input which signal the intentions of speakers are phonemic. The process and representations involved in lexical access must thus be sensitive to phonemic differences. It is perhaps for this reason that psycholinguistic models of spoken-word recognition have assigned a greater role in lexical access to phonemic distinctions than to the continuous unfolding of phonemically relevant information.The aim of the present research was to provide temporally detailed perceptual data concerning the unfolding of phonetic information over time. For this purpose portions of natural utterances were presented to listeners for classification. To measure phoneme activations in all left and right phonetic contexts, gated versions of all possible Dutch diphones were used.Gated stimuli sound files presented to subjects (zipped, 226.66 MB)Full diphone sound files with surrounding context (zipped, 55.58 MB)For subjects' perceptual responses in the stimuli (response_dutch_revised2024.csv, 7.71MB)For information on the labeling conventions in the Response file and in the stimuli files, refer to dutch_README_2024_edit.txt<br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.25422/azu.data.21498258.v1
title: Perception of all Dutch sounds in all preceding and following phonological environments ('Dutch diphones data')

description: A common view in psycholinguistic models of spoken-word recognition is that speech decoding is essentially phonemic: the speech signal is mapped onto intermediate phonemic representations, which in turn are used to access phonemically coded lexical representations. Several types of evidence indicate, however, that acoustic-phonetic information is passed to the mental lexicon continuously, as it becomes available in the speech signal. This is not to say, however, that phonemes have no role to play in lexical access. The view that speech decoding is essentially phonemic captures the important fact that differences in the input which signal the intentions of speakers are phonemic. The process and representations involved in lexical access must thus be sensitive to phonemic differences. It is perhaps for this reason that psycholinguistic models of spoken-word recognition have assigned a greater role in lexical access to phonemic distinctions than to the continuous unfolding of phonemically relevant information.The aim of the present research was to provide temporally detailed perceptual data concerning the unfolding of phonetic information over time. For this purpose portions of natural utterances were presented to listeners for classification. To measure phoneme activations in all left and right phonetic contexts, gated versions of all possible Dutch diphones were used.Gated stimuli sound files presented to subjects (zipped, 226.66 MB)Full diphone sound files with surrounding context (zipped, 55.58 MB)For subjects' perceptual responses in the stimuli (response_dutch_revised2024.csv, 7.71MB)For information on the labeling conventions in the Response file and in the stimuli files, refer to dutch_README_2024_edit.txt<br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.15468/dl.grg598
title: Occurrence Download

description: A dataset containing 121636 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Genista tinctoria L.)"
 ]
}

 The dataset includes 121636 records from 1119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012221-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14251102
title: Emerging supersolidity in photonic crystal polariton condensates

description: These are the processed datasets for the figures in the main text of "Emerging supersolidity in photonic crystal polariton condensates" as appears in Nature.
DOI: 10.5281/zenodo.14251103
title: Emerging supersolidity in photonic crystal polariton condensates

description: These are the processed datasets for the figures in the main text of "Emerging supersolidity in photonic crystal polariton condensates" as appears in Nature.
DOI: 10.23668/psycharchives.12538
title: Datasets for: Media Coping & Comforting Experiences Across Four Countries: Seeking the Familiar In Times of Distress?

description: Dataset and coding used to analyze the data from Media Coping & Comforting Experiences Across Four Countries: Seeking the Familiar In Times of Distress? Sara M Grady & Allison Eden. Write-in data in the language of collection, untranslated [US, UK, Germany, South Korea]
DOI: 10.15468/dl.ye4pkz
title: Occurrence Download

description: A dataset containing 4092 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bouteloua dactyloides (Nutt.) Columbus",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 4092 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012253-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vu2cg
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia cavaleriei H.Lév.)"
 ]
}

 The dataset includes 99 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012256-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14260771
title: Households with Variable-Rate Mortgages:  Factors Contributing to Arrears Under Rising Market Rates
DOI: 10.5281/zenodo.14260772
title: Households with Variable-Rate Mortgages:  Factors Contributing to Arrears Under Rising Market Rates
DOI: 10.15468/dl.k32vuq
title: Occurrence Download

description: A dataset containing 575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coryphaenoides nasutus Günther, 1877",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 575 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012255-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14244267
title: MATEdb2, a Collection of High-Quality Metazoan Proteomes across the Animal Tree of Life to Speed Up Phylogenomic Studies

description: Recent advances in high-throughput sequencing have exponentially increased the number of genomic data available for animals (Metazoa) in the last decades, with high-quality chromosome-level genomes being published almost daily. Nevertheless, generating a new genome is not an easy task due to the high cost of genome sequencing, the high complexity of assembly, and the lack of standardized protocols for genome annotation. The lack of consensus in the annotation and publication of genome files hinders research by making researchers lose time in reformatting the files for their purposes but can also reduce the quality of the genetic repertoire for an evolutionary study. Thus, the use of transcriptomes obtained using the same pipeline as a proxy for the genetic content of species remains a valuable resource that is easier to obtain, cheaper, and more comparable than genomes. In a previous study, we presented the Metazoan Assemblies from Transcriptomic Ensembles database (MATEdb), a repository of high-quality transcriptomic and genomic data for the two most diverse animal phyla, Arthropoda and Mollusca. Here, we present the newest version of MATEdb (MATEdb2) that overcomes some of the previous limitations of our database: (i) we include data from all animal phyla where public data are available, and (ii) we provide gene annotations extracted from the original GFF genome files using the same pipeline. In total, we provide proteomes inferred from high-quality transcriptomic or genomic data for almost 1,000 animal species, including the longest isoforms, all isoforms, and functional annotation based on sequence homology and protein language models, as well as the embedding representations of the sequences. We believe this new version of MATEdb will accelerate research on animal phylogenomics while saving thousands of hours of computational work in a plea for open, greener, and collaborative science.