cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1165883.08fu
title: SH1165883.08FU

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.6ztph3
title: Occurrence Download

description: A dataset containing 1273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalius alburnoides (Steindachner, 1866)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1273 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113007-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mu6uz
title: Occurrence Download

description: A dataset containing 1640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vitis girdiana Munson)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1640 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113008-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4bf75
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ionopsidium savianum (Caruel) Ball ex Caruel",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113009-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwr8ur
title: Occurrence Download

description: A dataset containing 2869599499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2869599499 records from 64246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111610-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9gdmu
title: Occurrence Download

description: A dataset containing 15590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polyscias J.R.Forst. & G.Forst.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15590 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006629-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usf5gu
title: Occurrence Download

description: A dataset listing the 111 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is An annotated checklist of the chondrichthyans of Papua New Guinea"
 ]
}

 The dataset's 111 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066474-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpcaux
title: Occurrence Download

description: A dataset containing 777 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceratotherium simum (Burchell, 1817)"
 ]
}

 The dataset includes 777 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006629-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88pxxv
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterospora andromedea Nutt.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 237 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023940-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uaqizl
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence of mammalia relicts at site Kobbelgard/Loc4"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006629-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbsbp4
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Botrychium pallidum W.H.Wagner",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 46 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023946-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edi9xx
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Darevskia uzzelli (Darevsky & Danielyan, 1977)"
 ]
}

 The dataset includes 77 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006629-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7v2xf
title: Occurrence Download

description: A dataset listing the 8 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-123.20347 49.21429,-123.20905 49.20931,-123.21446 49.20373,-123.2154 49.19635,-123.22244 49.1912,-123.21188 49.18562,-123.19798 49.18373,-123.1803 49.17738,-123.17854 49.17598,-123.15897 49.17643,-123.14695 49.17867,-123.14043 49.18563,-123.13292 49.19738,-123.13665 49.19864,-123.14661 49.20246,-123.16515 49.21412,-123.17408 49.21502,-123.18232 49.21278,-123.19056 49.21255,-123.20347 49.21429))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 8 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009116-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h92vhh
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Month is greater than or equal to January",
 "Country is Canada",
 "TaxonKey is Turbellaria"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006630-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ai7ao
title: Occurrence Download

description: A dataset containing 2967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Solidago altissima L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2967 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000532-190306134739812/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rh4ccc
title: Occurrence Download

description: A dataset containing 75579 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset includes 75579 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006630-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3snwh
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Harpia harpyja (Linnaeus, 1758)"
 ]
}

 The dataset includes 101 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000532-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.elpvci
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puccinellia alaskana Scribn. & Merr."
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006630-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ihtpqy
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picumnus pumilus Cabanis & Heine, 1863",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006630-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zs9jxm
title: Occurrence Download

description: A dataset containing 15004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is MVZ Egg and Nest Collection (Arctos)"
 ]
}

 The dataset includes 15004 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066471-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72liy9
title: Occurrence Download

description: A dataset containing 7490 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology - DgoMB: Trawl"
 ]
}

 The dataset includes 7490 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006630-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.va4rzq
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "TaxonKey is Centaurea jaennensis Degen & Debeaux",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 136 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005751-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdhjxk
title: Occurrence Download

description: A dataset listing the 3990878 species recorded in GBIF matching the query:
{ }

 The dataset's 3990878 records were derived from 63313 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024674-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6140064
title: Automatic labelling of HeLa "Kyoto" cells using Deep Learning tools

description: <strong>Name</strong>: Automatic labelling of HeLa “Kyoto” cells using Deep Learning tools <strong>Data type</strong>: Microscopy images from the dataset “<strong>HeLa “Kyoto” cells under the scope</strong>”, Brightfield (BF), Digital Phase Contrast (DPC, either “raw” or “square-rooted”), Tubulin and H2B fluorescent channel, paired with their corresponding nuclei or cell/cyto label images. <strong>Labels images</strong>: Labels images were generated using the script <em>“prepare_trainingDataset_cellpose.ijm</em>”. Briefly, for 5 defined time-points (1,10,50,100,150), channels of interest were duplicated, resaved and : - nuclei label images were obtained using StarDist on H2B channel - cell label images were obtained using Cellpose on Tubulin and H2B channels A quick visual inspection of the resulting label images concluded that they were satisfying enough, despite certainly not being perfect. Notes : - This labelling strategy: o will not produce 100% accurate labels, but they might be more reproducible than labels generated by humans and are (definitely) much faster to obtain. o is <strong>NOT a recommended way of generating labels images</strong>, but for educational purposes. - The fluorescent channels are part of the dataset to ease the process of review of the labels and are NOT used for training. We generated the labels from the fluorescent channels to later predict labels from the BF or DPC channels only. As such, the fluorescent channels should not be “reused” with our labels during training. <strong>File format</strong>: .tif (16-bit) <strong>Image size</strong>: 540x540 (Pixel size: 0.299 nm) <strong><em>NOTE</em></strong>: This dataset uses the “HeLa “Kyoto” cells under the scope” dataset (https://doi.org/10.5281/zenodo.6139958) to automatically generate annotations <strong><em>NOTE</em></strong>: This dataset was used to train cellpose models in the following Zenodo entry https://doi.org/10.5281/zenodo.6140111
DOI: 10.5281/zenodo.6140063
title: Automatic labelling of HeLa "Kyoto" cells using Deep Learning tools

description: <strong>Name</strong>: Automatic labelling of HeLa “Kyoto” cells using Deep Learning tools <strong>Data type</strong>: Microscopy images from the dataset “<strong>HeLa “Kyoto” cells under the scope</strong>”, Brightfield (BF), Digital Phase Contrast (DPC, either “raw” or “square-rooted”), Tubulin and H2B fluorescent channel, paired with their corresponding nuclei or cell/cyto label images. <strong>Labels images</strong>: Labels images were generated using the script <em>“prepare_trainingDataset_cellpose.ijm</em>”. Briefly, for 5 defined time-points (1,10,50,100,150), channels of interest were duplicated, resaved and : - nuclei label images were obtained using StarDist on H2B channel - cell label images were obtained using Cellpose on Tubulin and H2B channels A quick visual inspection of the resulting label images concluded that they were satisfying enough, despite certainly not being perfect. Notes : - This labelling strategy: o will not produce 100% accurate labels, but they might be more reproducible than labels generated by humans and are (definitely) much faster to obtain. o is <strong>NOT a recommended way of generating labels images</strong>, but for educational purposes. - The fluorescent channels are part of the dataset to ease the process of review of the labels and are NOT used for training. We generated the labels from the fluorescent channels to later predict labels from the BF or DPC channels only. As such, the fluorescent channels should not be “reused” with our labels during training. <strong>File format</strong>: .tif (16-bit) <strong>Image size</strong>: 540x540 (Pixel size: 0.299 nm) <strong><em>NOTE</em></strong>: This dataset uses the “HeLa “Kyoto” cells under the scope” dataset (https://doi.org/10.5281/zenodo.6139958) to automatically generate annotations <strong><em>NOTE</em></strong>: This dataset was used to train cellpose models in the following Zenodo entry https://doi.org/10.5281/zenodo.6140111
DOI: 10.5281/zenodo.6282253
title: Dipeptidyl peptidase 11 (PgDPP11); A Target Enabling Package

description: <em>Porphyromonas</em> gingivalis (<em>P. gingivalis</em>) is the main causative agent of Periodontitis, the most widespread inflammatory condition world-wide. Recently this organism has been implicated in several systemic conditions, such as Alzheimer’s disease and type 2 diabetes. <em>P. gingivalis</em> does not ferment carbohydrates, instead it uses proteases to generate energy and carbon source. Dipeptidyl peptidase 11 plays a central role in the energy metabolism of this bacterium and has been proposed as an attractive drug target. This TEP provide early tools to develop inhibitors of PgDPP11, including purification protocols of recombinant proteins, a crystal structure of the protein in complex with a dipeptide, crystallisation conditions suitable for crystallography-based fragment screening, an inhibition assay and fragment hits in the active site and an allosteric site. These molecules provide a promising starting point for the development of more specific and potent PgDPP11 inhibitors.
description: This document represents version 1 of the TEP. For more information about TEPs and the TEP Programme, please visit https://www.cmd.ox.ac.uk/resources/teps
DOI: 10.5281/zenodo.6281991
title: Dipeptidyl peptidase 11 (PgDPP11); A Target Enabling Package

description: <em>Porphyromonas</em> gingivalis (<em>P. gingivalis</em>) is the main causative agent of Periodontitis, the most widespread inflammatory condition world-wide. Recently this organism has been implicated in several systemic conditions, such as Alzheimer’s disease and type 2 diabetes. <em>P. gingivalis</em> does not ferment carbohydrates, instead it uses proteases to generate energy and carbon source. Dipeptidyl peptidase 11 plays a central role in the energy metabolism of this bacterium and has been proposed as an attractive drug target. This TEP provide early tools to develop inhibitors of PgDPP11, including purification protocols of recombinant proteins, a crystal structure of the protein in complex with a dipeptide, crystallisation conditions suitable for crystallography-based fragment screening, an inhibition assay and fragment hits in the active site and an allosteric site. These molecules provide a promising starting point for the development of more specific and potent PgDPP11 inhibitors.
description: This document represents version 1 of the TEP. For more information about TEPs and the TEP Programme, please visit https://www.cmd.ox.ac.uk/resources/teps
DOI: 10.25345/c5125qb4h
title: MassIVE Reanalysis RMSV000000354.5866 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, UBL5 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19236876
title: E-TCN dataset

description: Dataset for E-TCN
DOI: 10.5281/zenodo.6280695
title: Dataset related to article "Head down tilt 15° in experimental intracerebral hemorrhage: a randomized noninferiority safety trial"

description: The database contains animal models MRI in DICOM and NIfTI file format
description: This study was supported by the Italian Ministry of Health grant GR-2011-02347879
DOI: 10.6084/m9.figshare.19236876.v1
title: E-TCN dataset

description: Dataset for E-TCN
DOI: 10.5281/zenodo.6280694
title: Dataset related to article "Head down tilt 15° in experimental intracerebral hemorrhage: a randomized noninferiority safety trial"

description: The database contains animal models MRI in DICOM and NIfTI file format
description: This study was supported by the Italian Ministry of Health grant GR-2011-02347879
DOI: 10.6084/m9.figshare.19234530.v3
title: ROBOD, Room-level Occupancy and Building Operation Dataset

description: This comprehensive dataset consisting of indoor environmental conditions, Wi-Fi connected devices, energy consumption of end uses (i.e., HVAC, lighting, plug loads and fans), HVAC operations, and outdoor weather conditions collected through various heterogeneous sensors together with the ground truth occupant presence and count information for five rooms located in a university environment. The five rooms include two different-sized lecture rooms (Room 1 and Room 2) , an office space for administrative staff (Room 3), an office space for researchers (Room 4), and a library space (Room 5) accessible to all students. A total of 181 days of data was collected from all five rooms at a sampling resolution of 5 minutes. This dataset can be used for benchmarking and fostering data driven approaches in the field of occupancy prediction and occupant behaviour modelling, building simulation and control, energy forecasting and various building analytics.
DOI: 10.6084/m9.figshare.19236945
title: Supplementary material for A review of hybrid discrete-event and agent-based simulation software for cyber-physical production systems

description: Supplementary material for "A review of hybrid discrete-event and agent-based simulation software for cyber-physical production systems"
DOI: 10.6084/m9.figshare.19236945.v1
title: Supplementary material for A review of hybrid discrete-event and agent-based simulation software for cyber-physical production systems

description: Supplementary material for "A review of hybrid discrete-event and agent-based simulation software for cyber-physical production systems"