cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7crrps
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((68.884445 23.522623, 68.807858 23.517046, 68.733176 23.500454, 68.662254 23.47326, 68.596853 23.436138, 68.538591 23.390012, 68.48890400000001 23.336025, 68.449015 23.275516, 68.419895 23.209981, 68.402249 23.14104, 68.39649300000001 23.070395, 68.40275200000001 22.999786, 68.420852 22.93095, 68.450332 22.865579, 68.490453 22.805275, 68.54021899999999 22.751517, 68.59840199999999 22.70562, 68.663572 22.668705, 68.734133 22.641675, 68.808361 22.625188, 68.884445 22.619648, 68.96052899999999 22.625188, 69.034757 22.641675, 69.105318 22.668705, 69.17048800000001 22.70562, 69.22867100000001 22.751517, 69.278437 22.805275, 69.318558 22.865579, 69.348038 22.93095, 69.36613800000001 22.999786, 69.37239700000001 23.070395, 69.366641 23.14104, 69.348995 23.209981, 69.319875 23.275516, 69.27998599999999 23.336025, 69.230299 23.390012, 69.172037 23.436138, 69.10663599999999 23.47326, 69.035714 23.500454, 68.961032 23.517046, 68.884445 23.522623))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 60 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000519-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g96wvx
title: Occurrence Download

description: A dataset containing 11838884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11838884 records from 4312 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000470-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/c7eslkdw
title: PyBullet Environments

description: The dataset used in this paper is the PyBullet Environments.
DOI: 10.57702/qisqyd0j
title: NACA 0012 airfoil dataset

description: The dataset used in this paper is a high-dimensional aerodynamic modeling problem of the NACA 0012 airfoil with 38 input parameters.
DOI: 10.57702/q8a1acx5
title: Instruct 4D-to-4D

description: The dataset used in the paper for 4D scene editing, consisting of 4D scenes captured by single hand-held cameras and multi-camera arrays.
DOI: 10.57702/3oeu6mte
title: Conditional Random Fields

description: CRFs have been applied to a variety of domains, including text processing, computer vision, and bioinformatics.
DOI: 10.57702/usouzyyb
title: Geometric deep learning

description: The dataset is used to demonstrate geometric deep learning on non-Euclidean domains.
DOI: 10.57702/83y0fdxz
title: IATA Passenger Intelligence Services

description: Air travel data for the year 2015
DOI: 10.57702/iycrk8lh
title: Learning compact representations for LiDAR completion and generation

description: Learning compact representations for LiDAR completion and generation.
DOI: 10.57702/4hxurnoh
title: Middlebury Stereo Dataset

description: A benchmark for evaluating hand pose tracking/estimation algorithms on passive stereo. Unlike existing benchmarks, it contains both stereo images from a binocular stereo camera and depth images captured from an active depth camera.
DOI: 10.57702/r06rhaz7
title: Synthetic Reference Game Dataset

description: Synthetic reference game dataset
DOI: 10.57702/yjcud4tn
title: EmotioNet

description: Label distribution learning on auxiliary label space graphs for facial expression recognition.
DOI: 10.57702/scphl7js
title: Malaria Cell Images Dataset

description: Malaria Cell Images Dataset
DOI: 10.57702/flix2yos
title: Information Entropy of the Financial Market

description: The dataset used in this paper is a Hilbert space representation of the financial market, with a focus on the role of information entropy on the behavior of random processes.
DOI: 10.57702/p9elgm27
title: HHAR

description: The dataset is used for human activity recognition on mobile devices. It consists of accelerometer and gyroscope data from smartphones and smartwatches.
DOI: 10.57702/qtjduvy3
title: DBP

description: The dataset used for sentiment analysis and topic classification tasks.
DOI: 10.57702/y65qn2i1
title: L-town Water Distribution Network

description: The dataset used in this paper for leakage detection in water distribution networks.
DOI: 10.57702/xazm4ew1
title: WHU

description: Change Detection (CD) is an important problem in remote sensing in which our goal is to identify relevant changes in bi-temporal remote sensing images that can help in various applications such as damage assessment, urban expansion monitoring, resource management, and military surveillance.
DOI: 10.57702/if4xf0tm
title: Booking and Amazon Datasets

description: The dataset consists of a collection of reviews from the Booking website, during the period between June 2016 and August 2016. The second dataset includes reviews taken from the Amazon website and it is a subset of the dataset available at http://jmcauley.ucsd.edu/data/amazon, previously used in [14,15].
DOI: 10.57702/3xgbmtpi
title: PIANO dataset

description: The dataset used in this paper is a collection of PDE series with varying physical mechanisms.
DOI: 10.57702/ztogoil8
title: NLDD

description: NLDD dataset, a specialized open-source collection designed for the Natural Language to Software Generation domain.
DOI: 10.57702/8a1gkheb
title: DreamWaltz dataset

description: The dataset used in the paper for training and testing the DreamWaltz framework for generating and animating complex 3D avatars from text guidance and parametric human body prior.
DOI: 10.57702/yf4xdvmn
title: Labour force

description: The dataset contains monthly Australian employment data from February 1978 to December 2020.
DOI: 10.25346/s6eecgix/4iqhbb
title: msXL_334v_65_47.tif
DOI: 10.25346/s6eecgix/new8te
title: msXL_334v_65_46.tif
DOI: 10.25346/s6eecgix/plosp6
title: msXL_334v_65_45.tif
DOI: 10.25346/s6eecgix/arpxph
title: msXL_334v_65_44.tif
DOI: 10.25346/s6eecgix/tshewf
title: msXL_334v_65_43.tif
DOI: 10.25346/s6eecgix/td5yrl
title: msXL_334v_65_42.tif
DOI: 10.25346/s6eecgix/80oaie
title: msXL_334v_65_41.tif
DOI: 10.25346/s6eecgix/rhh6uf
title: msXL_334v_65_40.tif
DOI: 10.25346/s6eecgix/xnlop1
title: msXL_334v_65_39.tif
DOI: 10.25346/s6eecgix/6xs3n0
title: msXL_334v_65_38.tif
DOI: 10.25346/s6eecgix/fdhjht
title: msXL_334v_48_37.tif
DOI: 10.25346/s6eecgix/nkzbtc
title: msXL_334v_48_36.tif
DOI: 10.34740/kaggle/dsv/11473043
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15156/bio/sh1205051.10fu
title: SH1205051.10FU

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/sh1205053.10fu
title: SH1205053.10FU

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/sh1205054.10fu
title: SH1205054.10FU

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/sh1205055.10fu
title: SH1205055.10FU

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/sh1205057.10fu
title: SH1205057.10FU

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/sh1205059.10fu
title: SH1205059.10FU

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/sh1205060.10fu
title: SH1205060.10FU

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/sh1205061.10fu
title: SH1205061.10FU

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/sh1205062.10fu
title: SH1205062.10FU

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.f36kw9
title: Occurrence Download

description: A dataset containing 330827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX",
 "Geometry POLYGON((-91.42511 18.26626,-86.33569 18.26626,-86.33569 21.63284,-91.42511 21.63284,-91.42511 18.26626))",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 330827 records from 269 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007152-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.774jdx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Mexico",
 "Geometry POLYGON((-124.19666 17.91512,-88.80334 17.91512,-88.80334 32.08488,-124.19666 32.08488,-124.19666 17.91512))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Peromyscus slevini"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007191-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsf8ra
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonchocarpus hermannii M.Sousa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 182 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069918-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7qh72
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alyssum inflatum Nyár."
 ]
}

 The dataset includes 104 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042575-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.endp7f
title: Occurrence Download

description: A dataset containing 372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Sus scrofa Linnaeus, 1758"
 ]
}

 The dataset includes 372 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069931-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uf9tb3
title: Occurrence Download

description: A dataset containing 56925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.84102 17.82197,-89.16798 17.79603,-89.12907 19.32641,-90.74375 19.26804,-90.84102 17.82197))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 56925 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029317-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxes67
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysiptera springeri (Allen & Lubbock, 1976)"
 ]
}

 The dataset includes 91 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042568-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5b56n
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonchocarpus epigaeus M.Sousa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069909-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rangtc
title: Occurrence Download

description: A dataset containing 538 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heterodontus galeatus (Günther, 1870)"
 ]
}

 The dataset includes 538 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029319-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8q89t
title: Occurrence Download

description: A dataset containing 412 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zidona dufresnii (Donovan, 1823)"
 ]
}

 The dataset includes 412 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103747-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sdrpm
title: Occurrence Download

description: A dataset containing 769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-58.01838 -34.87971,-58.02532 -34.88832,-58.01936 -34.88969,-58.01309 -34.88277,-58.01838 -34.87971))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 769 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069941-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hy6far
title: Occurrence Download

description: A dataset containing 423 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scyliorhinus torazame (Tanaka, 1908)"
 ]
}

 The dataset includes 423 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029335-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.