cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1067232.10fu
title: SH1067232.10FU

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/sh1067234.10fu
title: SH1067234.10FU

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/sh1067236.10fu
title: SH1067236.10FU

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/sh1067239.10fu
title: SH1067239.10FU

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/sh1067240.10fu
title: SH1067240.10FU

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/sh1067242.10fu
title: SH1067242.10FU

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/sh1067247.10fu
title: SH1067247.10FU

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/sh1067250.10fu
title: SH1067250.10FU

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.gfqxsj
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aleurocanthus spiniferus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen, Material sample, Occurrence evidence)"
 ]
}

 The dataset includes 121 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053766-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.23180.58243
title: FISTULA URETERAL
DOI: 10.15468/dl.fbwnmv
title: Occurrence Download

description: A dataset containing 607469 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 (Muraltia serpylloides, Adromischus roaneanus, Bromus armenus, Hibiscus leptocladus, Trichomanes speciosum, Pericome caudata, Cassinia cunninghamii, Cassinia theresae, Hibiscus acicularis, Hibiscus drummondii, Hibiscus tiliaceus, Astartea glomerulosa, Haemodorum paniculatum, Bromus alopecuros, Myriophyllum lophatum, Myriophyllum petraeum, Myriophyllum porcatum, Myriophyllum costatum, Myriophyllum decussatum, Gnidia meyeri, Carum meifolium, Hermannia desertorum, Hermannia diffusa, Hermannia diversistipula, Hermannia grossularifolia, Hermannia ternifolia, Carduus getulus, Cardamine papillata, Cochlearia danica, Gayophytum eriospermum, Melampodium gracile, Restio cincinnatus, Thamnochortus fruticosus, Digitaria tricholaenoides, Polystichum kruckebergii, Phlomis chimerae, Cardamine glauca, Comesperma ciliatum, Hibiscus sturtii, Hottonia palustris, Hibiscus campanulatus, Carduus volutarioides, Phagnalon purpurascens, Cotula pusilla, Restio schoenoides, Restio vallis-simius, Medicago praecox, Medicago suffruticosa, Medicago syriaca, Oenanthe silaifolia, Opuntia macrorhiza, Opuntia robinsonii, Carduus jordanii, Deverra rapaletsa, Trigonella capitata, Phlomis rechingeri, Muraltia juniperifolia, Muraltia depressa, Muraltia crassifolia, Muraltia comptonii, Muraltia alba, Muraltia alticola, Bursaria occidentalis, Bursaria spinosa, Deverra juncea, Hibiscus purpureus, Cassinia denticulata, Cassinia trinerva, Leucoptera oppositifolia, Oenanthe tricholoba, Ballota larendana, Phlomis bruguieri, Phlomis elongata, Phlomis tathamiorum, Calochilus praealtus, Bromus danthoniae, Bromus erectus, Myriophyllum striatum, Rhus trilobata, Cardamine tryssa, Hermannia amoena, Hermannia helicoidea, Hermannia procumbens, Hermannia scabricaulis, Gnidia burmanni, Gnidia simplex, Gnidia variegata, Melampodium tepicense, Calochilus imberbis, Thamnochortus levynsiae, Medicago heyniana, Medicago marina, Polystichum chilense, Scaligeria lazica, Cephalaria tchihatchewii, Oenanthe virgata, Carduus nervosus, Carduus grenieri, Carduus ramosissimus)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 607469 records from 2181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053748-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/lbhubc5u
title: Google Scaned Dataset (GSO)

description: The Deitke dataset contains 30 objects chosen by SyncDreamer [17] and rendered 16 views with uniformly distributed camera poses and environment lighting for each object.
DOI: 10.15468/dl.hnhd5v
title: Occurrence Download

description: A dataset containing 1826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citharus linguatula (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1826 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014109-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/1ldrqq9g
title: Post-Surgical Cardiac Patient (PCP) Database

description: The dataset used in this work is the Post-Surgical Cardiac Patient (PCP) Database in combination with supervision provided by clinicians indicating whether a patient is at risk for Heparin-Induced Thrombocytopenia (HIT).
DOI: 10.57702/4n3ncrp1
title: RADIOML 2018.01A

description: The RADIOML 2018.01A dataset is a public well-known dataset for automatic modulation classification.
DOI: 10.15468/dl.ednppq
title: Occurrence Download

description: A dataset containing 5977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelidonichthys lucerna (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5977 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014107-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/44nofaeo
title: GPN: Generative Point-based NeRF

description: The dataset is used for testing the proposed Generative Point-based NeRF framework.
DOI: 10.57702/ftewau1g
title: FSCNN: A Fast Sparse Convolution Neural Network Inference System

description: Convolutional Neural Network (CNN) has demonstrated its success in plentiful computer vision application, but typically accompanies high computation cost and numerous redundant weight parameters.
DOI: 10.57702/71hmof9h
title: Norwegian Lung Cancer Biobank (NLCB) and Bergen cohort

description: The Norwegian Lung Cancer Biobank (NLCB) cohort and the Bergen cohort were used to create the proposed model. The NLCB cohort includes histopathological, cytological, biomarker, and clinical follow-up data from patients with suspected lung cancer diagnosed in Central Norway after 2006. The Bergen Cohort comprises 438 surgically treated NSCLC patients diagnosed at Haukeland University Hospital, Bergen, Norway from 1993–2010.
DOI: 10.57702/l0md36xb
title: Bergen cohort

description: The Norwegian Lung Cancer Biobank (NLCB) cohort and the Bergen cohort were used to create the proposed model. The NLCB cohort includes histopathological, cytological, biomarker, and clinical follow-up data from patients with suspected lung cancer diagnosed in Central Norway after 2006. The Bergen Cohort comprises 438 surgically treated NSCLC patients diagnosed at Haukeland University Hospital, Bergen, Norway from 1993–2010.
DOI: 10.57702/jbje121i
title: Emotions recognition using EEG signals: A survey

description: Emotions recognition using EEG signals: A survey.
DOI: 10.18112/openneuro.ds005691.v1.0.0
title: SpinalExpect_Invasive
DOI: 10.57702/o62ymgkh
title: MIT-67, CUB-2011, Caltech-101, DTD

description: MIT-67 is a dataset of 67 indoor scenes, CUB-2011 is a dataset of 200 bird species, Caltech-101 is a dataset of 101 objects, and DTD is a dataset of 47 textures.
DOI: 10.57702/fztc7xz8
title: CIFAR-10, CIFAR-100

description: CIFAR-10 and CIFAR-100 are standard vision datasets with 50,000 training images across 10 and 100 classes, respectively.
DOI: 10.57702/x5glwq8j
title: Stereo CenterNet

description: Stereo CenterNet is a 3D object detection method for stereo images, combining deep learning and geometry.
DOI: 10.5517/ccdc.csd.cc2kptrv
title: CCDC 2374468: Experimental Crystal Structure Determination

description: Related Article: Ajoy Kumar  Bauri|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kptsw
title: CCDC 2374469: Experimental Crystal Structure Determination

description: Related Article: Ajoy Kumar  Bauri|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kpty1
title: CCDC 2374474: Experimental Crystal Structure Determination

description: Related Article: Ajoy Kumar  Bauri|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kpv48
title: CCDC 2374480: Experimental Crystal Structure Determination

description: Related Article: Ajoy Kumar  Bauri,  Ashwani Kumar and Ravi Makde|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57702/5kyizh5p
title: KITTI 3D Object Detection Dataset

description: KITTI 3D object detection dataset, containing 7481 training images and 7518 testing images.
DOI: 10.5517/ccdc.csd.cc2kptmq
title: CCDC 2374464: Experimental Crystal Structure Determination

description: Related Article: Nico Graw|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kpv26
title: CCDC 2374478: Experimental Crystal Structure Determination

description: Related Article: Nico Graw|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kpwdk
title: CCDC 2374519: Experimental Crystal Structure Determination

description: Related Article: zarife sibel şahin|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57702/qmnofwlb
title: GEM: Gaze-assisted Ego Motion (GEM) Dataset

description: Understanding the decision-making process of drivers is one of the keys to ensuring road safety. We propose a new dataset, GEM, which contains high-fidelity ego-motion videos paired with drivers' eye-tracking data and GPS coordinates.
DOI: 10.5517/ccdc.csd.cc2jtvfn
title: CCDC 2348542: Experimental Crystal Structure Determination

description: Related Article: Shibu Naskar, Susital Mal, Shivangi Shivangi, Subrata Das|2024|RSC Advances|14|34925|doi:10.1039/D4RA05774K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kp0cn
title: CCDC 2373681: Experimental Crystal Structure Determination

description: Related Article: Ashlyn A. Kamin, E. J. Brannan, Kathleen M. Snook, Sebastian Krajewski, Paige M. Gannon, Werner Kaminsky, Dianne J. Xiao|2024|CrystEngComm|26|6396|doi:10.1039/D4CE00921E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l0jqw
title: CCDC 2383798: Experimental Crystal Structure Determination

description: Related Article: Niklas Limberg, J. Mikko Rautiainen, Jan Lundell, Sebastian Riedel, Kari Rissanen, Rakesh Puttreddy|2024|Chemical Science|15|18840|doi:10.1039/D4SC06270A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l0jrx
title: CCDC 2383799: Experimental Crystal Structure Determination

description: Related Article: Niklas Limberg, J. Mikko Rautiainen, Jan Lundell, Sebastian Riedel, Kari Rissanen, Rakesh Puttreddy|2024|Chemical Science|15|18840|doi:10.1039/D4SC06270A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l0jsy
title: CCDC 2383800: Experimental Crystal Structure Determination

description: Related Article: Niklas Limberg, J. Mikko Rautiainen, Jan Lundell, Sebastian Riedel, Kari Rissanen, Rakesh Puttreddy|2024|Chemical Science|15|18840|doi:10.1039/D4SC06270A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.