cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ez3dtd
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Margarites groenlandicus (Gmelin, 1791)",
 "Geometry Polygon ((-0.81872320224334705 81.71335986952006181, 15.11673521981012946 82.94093416616939862, 55.03837845422534514 82.93072605576169565, 68.89890739424060939 82.76538423844311865, 68.23492995998834942 76.91672887805012238, 66.65798355363932615 76.41899886398434205, 58.35826562548645313 75.2830057792397298, 53.62742640643935488 72.27604926014167575, 56.51370019053020144 70.7184319212233703, 61.20731985535795161 69.33373585697623298, 61.03848461561595684 68.59378701793275468, 59.48520040998950265 68.17044220597425408, 56.31109790283980487 68.39555084581948563, 54.55521140952295411 67.98114593841629016, 51.6512452859604565 68.17044220597425408, 48.65267784747624091 67.02924254972219842, 40.94483653932162071 65.40948750740305684, 40.32919426231246263 64.38453675707305024, 38.06363068291878449 63.85719999959601267, 35.45330742839996674 63.59523518951031207, 32.17809051471124349 66.47463978769231119, 31.61169961986282928 67.35413577830914278, 38.21138482940098413 66.43524838936303922, 40.30456857123208891 66.65113196644773552, 40.03368596934806334 67.62779915964847532, 34.17277149222090316 68.8963607305246768, 27.46509718561969038 69.94367113526196533, 23.20588516082897712 69.84830520059951198, 19.77835359058319753 69.06055172175248913, 14.73786598728060149 67.08356056086624619, 12.041205119513684 67.75195906073822982, 8.34509648852492347 77.01326974603688313, -0.81872320224334705 \n 81.71335986952006181))",
 "Year is less than or equal to 1900"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159608-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.auh2k7
title: Occurrence Download

description: A dataset containing 1740861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-14.32792 -17.78656,27.49411 -17.78656,27.49411 34.5928,-14.32792 34.5928,-14.32792 -17.78656))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1740861 records from 889 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143217-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/jnz6-by82
title: Measurement of Inden_123cd_pyrene at Alert

description: Measurement of Inden_123cd_pyrene at Alert
DOI: 10.48597/sghc-whea
title: Measurement of Benzo_b_fluoranthene at Alert

description: Measurement of Benzo_b_fluoranthene at Alert
DOI: 10.57702/ycyz02mb
title: Real-World Depth of Field Dataset

description: The dataset consists of real captured scenes with varying exposures, apertures, and focus distances.
DOI: 10.48597/vy3x-6fsj
title: Measurement of Benzo_ghi_perylene at Alert

description: Measurement of Benzo_ghi_perylene at Alert
DOI: 10.48597/xnhj-uvy3
title: Measurement of 1-methylnaphthalene at Alert

description: Measurement of 1-methylnaphthalene at Alert
DOI: 10.57702/cxbey7xo
title: BraTS 2019 training dataset

description: Multimodal brain tumor segmentation challenge (BraTS) aims to evaluate state-of-the-art methods for the segmentation of brain tumors by providing a 3D MRI dataset with ground truth tumor segmentation labels annotated by physicians.
DOI: 10.48597/975a-4zey
title: Measurement of Phenanthrene at Alert

description: Measurement of Phenanthrene at Alert
DOI: 10.48597/b3vs-t34e
title: Measurement of Naphthalene at Alert

description: Measurement of Naphthalene at Alert
DOI: 10.48597/gkbn-q6py
title: Measurement of Retene at Alert

description: Measurement of Retene at Alert
DOI: 10.57702/7y17vs75
title: COCOQA

description: The dataset used in the paper is a set of sequential vision-and-language tasks, where each task consists of an image and a text input.
DOI: 10.48597/jdjt-qun6
title: Measurement of Perylene at Alert

description: Measurement of Perylene at Alert
DOI: 10.48597/2mrb-bumn
title: Measurement of Fluoranthene at Alert

description: Measurement of Fluoranthene at Alert
DOI: 10.48597/stk4-nt9z
title: Measurement of Pyrene at Alert

description: Measurement of Pyrene at Alert
DOI: 10.57702/x75u9dhv
title: CULane Dataset

description: The CULane dataset is a widely used benchmark for lane detection. It contains 100,000 images, divided into three subsets: training set, validation set, and test set.
DOI: 10.48597/7zbj-szh3
title: Measurement of 1-methylnaphthalene at Alert

description: Measurement of 1-methylnaphthalene at Alert
DOI: 10.48597/9ag8-encm
title: Measurement of Perylene at Alert

description: Measurement of Perylene at Alert
DOI: 10.48597/9pnz-nraq
title: Measurement of Chrysene at Alert

description: Measurement of Chrysene at Alert
DOI: 10.48597/aqjw-3jgg
title: Measurement of Benzo_a_pyrene at Alert

description: Measurement of Benzo_a_pyrene at Alert
DOI: 10.15468/dl.pdcp2u
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is XPRIZE Rainforest Brazil (Manaus) Final"
 ]
}

 The dataset includes 347 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080117-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/f2ue-p2z2
title: Measurement of Phenanthrene at Alert

description: Measurement of Phenanthrene at Alert
DOI: 10.57702/rvsjleq1
title: SIMP Dataset

description: A conventional SIMP model topology optimization algorithm is used to generate dataset in MATLAB. A dataset of 3024 samples was generated using volume fraction (vol_frac), penalty (penal) and radius of the smoothening filter (rmin) as design variables.
DOI: 10.48597/fkrd-97cw
title: Measurement of Pyrene at Alert

description: Measurement of Pyrene at Alert
DOI: 10.48597/h3y4-fvcz
title: Measurement of 2-methylnaphthalene at Alert

description: Measurement of 2-methylnaphthalene at Alert
DOI: 10.57702/5b29x3bl
title: PASCAL VOC 2007 and PASCAL VOC 2012 object detection datasets

description: PASCAL VOC 2007 and PASCAL VOC 2012 object detection datasets
DOI: 10.48597/jkcv-c34h
title: Measurement of Benzo_ghi_perylene at Alert

description: Measurement of Benzo_ghi_perylene at Alert
DOI: 10.48597/kadf-qbgy
title: Measurement of Benzo_b_fluoranthene at Alert

description: Measurement of Benzo_b_fluoranthene at Alert
DOI: 10.48597/phqr-eqt5
title: Measurement of Fluorene at Alert

description: Measurement of Fluorene at Alert
DOI: 10.48597/qf6h-dkcv
title: Measurement of Inden_123cd_pyrene at Alert

description: Measurement of Inden_123cd_pyrene at Alert
DOI: 10.57702/mkj4sjvo
title: COCO-LVIS

description: The proposed algorithm uses the COCO-LVIS dataset for training and evaluation.
DOI: 10.15468/dl.8qhkb7
title: Occurrence Download

description: A dataset containing 9091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.34_1, USA.41_1, USA.43_1, USA.11_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Vernonia gigantea, Bidens aristosa, Solidago rugosa, Silphium asteriscus, Eryngium yuccifolium, Pycnanthemum tenuifolium, Chamaecrista fasciculata, Monarda fistulosa, Ceanothus americanus, Baptisia alba)",
 "Year 2015-2026"
 ]
}

 The dataset includes 9091 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080118-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/qqnn-g6ss
title: Measurement of Dibenzothiophene at Alert

description: Measurement of Dibenzothiophene at Alert
DOI: 10.48597/r5gh-hyks
title: Measurement of Benz_a_anthracene at Alert

description: Measurement of Benz_a_anthracene at Alert
DOI: 10.48597/rau3-h8du
title: Measurement of Benzo_k_fluoranthene at Alert

description: Measurement of Benzo_k_fluoranthene at Alert
DOI: 10.57702/ky4zfa3o
title: Total Variation Applications in Computer Vision

description: The Total Variation (TV) regularization is a deterministic technique that safeguards discontinuities in image processing tasks.
DOI: 10.48597/udsm-3u82
title: Measurement of Dibenzo_ah_anthracene at Alert

description: Measurement of Dibenzo_ah_anthracene at Alert
DOI: 10.48597/vfc7-ccgp
title: Measurement of Retene at Alert

description: Measurement of Retene at Alert
DOI: 10.48597/w6af-zvnw
title: Measurement of Naphthalene at Alert

description: Measurement of Naphthalene at Alert
DOI: 10.48597/xy4c-8dcc
title: Measurement of Benzo_e_pyrene at Alert

description: Measurement of Benzo_e_pyrene at Alert
DOI: 10.57702/wf3w34es
title: SocialCounterfactuals

description: SocialCounterfactuals is a large dataset of image-text counterfactuals depicting intersectional social attributes related to gender, race, and physical characteristics for various occupations.
DOI: 10.48597/5wpp-ka7t
title: Measurement of Dibenzo_ah_anthracene at Alert

description: Measurement of Dibenzo_ah_anthracene at Alert
DOI: 10.57702/srlpnl6l
title: LSUN-Church

description: Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such images via mathematical operations on the latent style vectors in the W/W+ space that effectively modulate the rich hierarchical representations of the generator.
DOI: 10.48597/6dgb-jvxg
title: Measurement of Perylene at Alert

description: Measurement of Perylene at Alert
DOI: 10.48597/76bf-24gs
title: Measurement of Naphthalene at Alert

description: Measurement of Naphthalene at Alert
DOI: 10.48597/7acg-m3x8
title: Measurement of Dibenzothiophene at Alert

description: Measurement of Dibenzothiophene at Alert
DOI: 10.48597/8dkp-w37w
title: Measurement of Chrysene at Alert

description: Measurement of Chrysene at Alert
DOI: 10.57702/ez0yxu3n
title: Trajectory Dataset

description: The dataset used in this paper is a collection of 30 trajectories generated per gridworld map by randomly selecting for each trajectory the initial locations of both the actor and target.
DOI: 10.48597/b3qj-2sng
title: Measurement of Benzo_e_pyrene at Alert

description: Measurement of Benzo_e_pyrene at Alert
DOI: 10.48597/br58-b9nq
title: Measurement of Benzo_k_fluoranthene at Alert

description: Measurement of Benzo_k_fluoranthene at Alert
DOI: 10.48597/hbhs-vsqu
title: Measurement of Retene at Alert

description: Measurement of Retene at Alert
DOI: 10.57702/32q93b3w
title: CVC-Clinic DB

description: CVC-Clinic DB: a dataset of annotated colonoscopy images and corresponding segmentation masks.
DOI: 10.48597/mdz7-gwgn
title: Measurement of Phenanthrene at Alert

description: Measurement of Phenanthrene at Alert
DOI: 10.48597/mwbx-gc6s
title: Measurement of Pyrene at Alert

description: Measurement of Pyrene at Alert
DOI: 10.48597/naqj-3ggg
title: Measurement of Benzo_ghi_perylene at Alert

description: Measurement of Benzo_ghi_perylene at Alert
DOI: 10.57702/ec2q8wb1
title: Macaque V1 dataset

description: The dataset consists of simultaneous recordings of 148 neurons from the primary visual cortex (area V1) of an anesthetized macaque.
DOI: 10.48597/q84s-ersu
title: Measurement of Inden_123cd_pyrene at Alert

description: Measurement of Inden_123cd_pyrene at Alert
DOI: 10.48597/qu6t-qa66
title: Measurement of Benz_a_anthracene at Alert

description: Measurement of Benz_a_anthracene at Alert
DOI: 10.57702/0pmns54l
title: Fast signal recovery from quadratic measurements

description: The dataset used in this paper for sparse signal recovery from cross-correlation measurements.
DOI: 10.48597/rfs9-z8zx
title: Measurement of 1-methylnaphthalene at Alert

description: Measurement of 1-methylnaphthalene at Alert
DOI: 10.48597/um3a-yn59
title: Measurement of 2-methylnaphthalene at Alert

description: Measurement of 2-methylnaphthalene at Alert
DOI: 10.15156/bio/sh0156127.10fu
title: SH0156127.10FU

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/sh0156128.10fu
title: SH0156128.10FU

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/sh0156129.10fu
title: SH0156129.10FU

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/sh0156130.10fu
title: SH0156130.10FU

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/sh0156131.10fu
title: SH0156131.10FU

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/sh0156132.10fu
title: SH0156132.10FU

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/sh0156133.10fu
title: SH0156133.10FU

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/sh0156134.10fu
title: SH0156134.10FU

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/sh0156135.10fu
title: SH0156135.10FU

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/sh0156136.10fu
title: SH0156136.10FU

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.