cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1219090.10fu
title: SH1219090.10FU

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/sh1219093.10fu
title: SH1219093.10FU

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/sh1219095.10fu
title: SH1219095.10FU

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/sh1219098.10fu
title: SH1219098.10FU

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/sh1219110.10fu
title: SH1219110.10FU

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/sh1219111.10fu
title: SH1219111.10FU

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/sh1219113.10fu
title: SH1219113.10FU

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: 10.57702/gomvm73d
title: RealWorld

description: RealWorld dataset contains the recordings of 15 users performing 8 daily activities in real-world environments.
DOI: 10.15468/dl.tsepa2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.21980000000001 23.556173, 89.14319399999999 23.550596, 89.068493 23.534004, 88.997553 23.50681, 88.932135 23.469688, 88.873858 23.423562, 88.82416000000001 23.369576, 88.784261 23.309066, 88.755134 23.243531, 88.737483 23.17459, 88.73172700000001 23.103945, 88.737988 23.033337, 88.75609300000001 22.964501, 88.78558 22.899131, 88.825712 22.838828, 88.87549 22.78507, 88.93368700000001 22.739173, 88.998873 22.702259, 89.069452 22.675229, 89.143698 22.658742, 89.21980000000001 22.653201, 89.295902 22.658742, 89.370148 22.675229, 89.440727 22.702259, 89.50591300000001 22.739173, 89.56411 22.78507, 89.613888 22.838828, 89.65402 22.899131, 89.68350700000001 22.964501, 89.701612 23.033337, 89.70787300000001 23.103945, 89.702117 23.17459, 89.684466 23.243531, 89.655339 23.309066, 89.61544000000001 23.369576, 89.565742 23.423562, 89.507465 23.469688, 89.442047 23.50681, 89.37110699999999 23.534004, 89.296406 23.550596, 89.21980000000001 23.556173))"},{"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 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079901-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/9g5fk9lj
title: Complete Virtualization Approach

description: The complete virtualization approach, where the entire incomplete portion of the repair queue is virtualized.
DOI: 10.57702/4xxdooct
title: Acoustic Camera Dataset

description: Acoustic camera datasets for speaker identification.
DOI: 10.57702/i2et8rfa
title: MovingMNIST

description: MovingMNIST is a synthetic dataset for predicting the movement of two digits.
DOI: 10.15468/dl.3t22e7
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ilex kaushue, Gmelina hainanensis, Primulina tabacum, Osmanthus pubipedicellatus, Merrillanthus hainanensis, Morinda officinalis, Emmenopterys henryi, Dunnia sinensis, Sinojackia rehderiana, Sinojackia henryi, Camellia sinensis assamica, Camellia azalea, Apterosperma oblatum, Madhuca pasquieri, Euryodendron excelsum, Bretschneidera sinensis, Aquilaria sinensis, Firmiana danxiaensis, Toona ciliata, Eurycorymbus cavaleriei)",
 "Year 1990-2025"
 ]
}

 The dataset includes 87 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079902-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/n8tghyto
title: CNRPark and PKLot datasets

description: The dataset contains parking occupancy information for campus-like parking lots in Italy and Brazil.
DOI: 10.57702/j1popr1l
title: Obverse dataset

description: Obverse dataset contains 3D scanned objects.
DOI: 10.57702/0h83954c
title: Tmall Dataset

description: The Tmall dataset is a real-world E-commerce dataset that contains multiple types of user behaviors including purchases and views.
DOI: 10.57702/rbrvxff0
title: Somatosensory cortex data

description: Real data recorded from the primary somatosensory cortex of macaques.
DOI: 10.57702/q3r6f35s
title: SUNCG dataset

description: The SUNCG dataset is a manually created large-scale synthetic scene dataset. It contains 139368 valid pairs of depth map and complete labels for training, and 470 pairs for testing.
DOI: 10.57702/8lnqbanz
title: Fence Segmentation Dataset

description: The dataset used for training and testing the proposed two-stage and single-stage image de-fencing networks.
DOI: 10.57702/7fvbc4zn
title: GRAPHQUESTIONS

description: This dataset contains question-answer pairs for training a semantic parser.
DOI: 10.57702/wexpiptl
title: Automatic Scansion of Classical Greek Hexameter

description: A fully automatic approach to the scansion of Classical Greek hexameter verse.
DOI: 10.57702/4eeu27tc
title: Robust Edge-Based Visual Odometry

description: Robust edge-based visual odometry using machine-learned edges.
DOI: 10.57702/df7g9dhy
title: Dynamic Scenes Dataset

description: The Dynamic Scenes Dataset contains 8 dynamic scenes with 12 synchronized cameras, enabling accurate depth estimation.
DOI: 10.57702/pcpc3i5u
title: Multi-Turn Dialogue Reasoning

description: A dataset for multi-turn dialogue reasoning
DOI: 10.57702/ghgprm0d
title: Disengagement Events Dataset

description: The dataset used in this paper is a collection of disengagement events data from autonomous vehicles.
DOI: 10.57702/tcbnahwa
title: Experimental evaluation of ambient backscatter communications with massive MIMO reader

description: Experimental evaluation of ambient backscatter communications with massive MIMO reader
DOI: 10.57702/pger7rt0
title: Kohler dataset

description: The Kohler dataset is a benchmark for blind image deblurring, containing 4 images with 12 different kernels.
DOI: 10.57702/lv05pgzd
title: Training Dataset

description: The training dataset is a collection of the publicly available Arabic corpora listed below: The unshufﬂed OSCAR corpus (Ortiz Su´arez et al., 2020). The Arabic Wikipedia dump from September 2020. The 1.5B words Arabic Corpus (El-Khair, 2016).
DOI: 10.57702/2kmoe7wf
title: Multimodal Variational Autoencoder for Cardiac Hemodynamics Instability Detection

description: A multimodal variational autoencoder for low-cost cardiac hemodynamics instability detection from CXR and ECG.
DOI: 10.15468/dl.kp6hyn
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Labeo gonius"
 ]
}

 The dataset includes 260 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079903-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17482590
title: LULC_GAN and RSEI_GAN training datasets and multi-scenario prediction results (2000–2035)

description: This dataset accompanies the paper “Spatiotemporal Prediction and Analysis of LULC Change and Ecological Impact based on Coupled Generative Adversarial Networks.”

It contains two main components:(1) Model_training_datasets.tar – includes image tiles and associated metadata used for training and validating the LULC_GAN and RSEI_GAN models;(2) Prediction_results.rar – includes model-generated Land Use/Land Cover (LULC) and Remote Sensing Ecological Index (RSEI) prediction maps for Shanghai from 2020 to 2035, as well as simulation results under five alternative development scenarios (Baseline, Ecological Protection, Agricultural Protection, Urban Development, and Balanced Development).

All files are provided in open-access format under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
DOI: 10.5281/zenodo.17482589
title: LULC_GAN and RSEI_GAN training datasets and multi-scenario prediction results (2000–2035)

description: This dataset accompanies the paper “Spatiotemporal Prediction and Analysis of LULC Change and Ecological Impact based on Coupled Generative Adversarial Networks.”

It contains two main components:(1) Model_training_datasets.tar – includes image tiles and associated metadata used for training and validating the LULC_GAN and RSEI_GAN models;(2) Prediction_results.rar – includes model-generated Land Use/Land Cover (LULC) and Remote Sensing Ecological Index (RSEI) prediction maps for Shanghai from 2020 to 2035, as well as simulation results under five alternative development scenarios (Baseline, Ecological Protection, Agricultural Protection, Urban Development, and Balanced Development).

All files are provided in open-access format under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
DOI: 10.15468/dl.p85w8c
title: Occurrence Download

description: A dataset containing 980104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Corrigiola L., Conringia Heist. ex Fabr., Colutea L., Coleanthus Seidel ex Roem. & Schult., Coincya Rouy, Cnidium Cusson, Cladium P.Browne, Cicuta L., Chrysosplenium L., Chimaphila Pursh, Chaerophyllum L., Cephalanthera Rich.)"
 ]
}

 The dataset includes 980104 records from 1949 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004948-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8ntr6
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phytopythium litorale"
 ]
}

 The dataset includes 109 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064677-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tx7nd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ornithinimicrobium cerasi"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014303-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pxjxq
title: Occurrence Download

description: A dataset listing the 58 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "OccurrenceStatus is Present",
 "TaxonKey is Apidae"
 ]
}

 The dataset's 58 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080543-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14428197
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18177264
title: Ionospheric Vertical Plasma Drifts over South America: Long-Term Multi-Instrument Observations and TIEGCM and WACCM-X Evaluations

description: Dataset for the article titled "Ionospheric Vertical Plasma Drifts over South America: Long-Term Multi-Instrument Observations and TIEGCM and WACCM-X Evaluations", submitted to Journal of Geophysical Research: Space Physics.
DOI: 10.5281/zenodo.18177263
title: Ionospheric Vertical Plasma Drifts over South America: Long-Term Multi-Instrument Observations and TIEGCM and WACCM-X Evaluations

description: Dataset for the article titled "Ionospheric Vertical Plasma Drifts over South America: Long-Term Multi-Instrument Observations and TIEGCM and WACCM-X Evaluations", submitted to Journal of Geophysical Research: Space Physics.
DOI: 10.15468/dl.23mqyu
title: Occurrence Download

description: A dataset containing 605 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glans carpenteri (E.Lamy, 1922)"
 ]
}

 The dataset includes 605 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106441-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7ks2g
title: Occurrence Download

description: A dataset containing 1588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium japonicum Fisch. ex DC.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1588 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165608-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8hvkf
title: Occurrence Download

description: A dataset containing 2111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-74.2163580999999937 40.7909898999999996, -74.2163580999999937 40.7928971999999987, -74.2163580999999937 40.7950906000000018, -74.2163580999999937 40.7969025299999970, -74.2163580999999937 40.7982376400000035, -74.2163580999999937 40.7992866499999991, -74.2163580999999937 40.8005264000000025, -74.2136019200000021 40.8005264000000025, -74.2115112799999963 40.8005264000000025, -74.2103709299999963 40.8005264000000025, -74.2086604099999931 40.8005264000000025, -74.2064747400000044 40.8005264000000025, -74.2049542799999955 40.8005264000000025, -74.2028633000000042 40.8005264000000025, -74.2028633000000042 40.7988098300000033, -74.2028633000000042 40.7974747199999968, -74.2028633000000042 40.7953766899999977, -74.2028633000000042 40.7937554900000023, -74.2028633000000042 40.7927064699999988, -74.2028633000000042 40.7909898999999996, -74.2048592499999984 40.7909898999999996, -74.2068548600000071 40.7909898999999996, -74.2094206400000047 40.7909898999999996, -74.2119864299999961 40.7909898999999996, -74.2138870099999934 40.7909898999999996, -74.2163580999999937 40.7909898999999996))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 2111 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083472-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tjy9a
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peringiella elegans (Locard, 1891)"
 ]
}

 The dataset includes 185 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095338-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzywx4
title: Occurrence Download

description: A dataset containing 3067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fringilla montifringilla Linnaeus, 1758",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3067 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165607-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2xn25
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conus inscriptus Reeve, 1843"
 ]
}

 The dataset includes 383 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083453-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.