cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15139/s3/vtxdku
title: Data Management and Sharing Plan for: Developing a robust and efficient strategy for censored covariates to improve clinical trial design for neurodegenerative diseases

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15156/bio/sh0196133.10fu
title: SH0196133.10FU

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/sh0196134.10fu
title: SH0196134.10FU

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/sh0196135.10fu
title: SH0196135.10FU

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/sh0196136.10fu
title: SH0196136.10FU

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/sh0196137.10fu
title: SH0196137.10FU

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/sh0196138.10fu
title: SH0196138.10FU

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/sh0196139.10fu
title: SH0196139.10FU

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/sh0196140.10fu
title: SH0196140.10FU

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.w6mdky
title: Occurrence Download

description: A dataset containing 1534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sarotherodon melanotheron Rüppell, 1852)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1534 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022559-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ga32tm
title: Occurrence Download

description: A dataset containing 36475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-125 24.5,-49 24.5,-49 49,-125 49,-125 24.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Castor canadensis Kuhl, 1820"
 ]
}

 The dataset includes 36475 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022558-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9czmyv
title: Occurrence Download

description: A dataset containing 8912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus insipida Willd.",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8912 records from 422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022560-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6yeqd
title: Occurrence Download

description: A dataset containing 3280608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0"
 ]
}

 The dataset includes 3280608 records from 373 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022514-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwmydj
title: Occurrence Download

description: A dataset containing 6657 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maccullochella peelii (Mitchell, 1838)"
 ]
}

 The dataset includes 6657 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022562-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7te596
title: Occurrence Download

description: A dataset containing 4863 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-94.58287 17.98219,-94.27429 17.98219,-94.27429 18.22661,-94.58287 18.22661,-94.58287 17.98219))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 4863 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022563-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a767mm
title: Occurrence Download

description: A dataset containing 7861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Ursus americanus Pallas, 1780"
 ]
}

 The dataset includes 7861 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022564-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/bkne-s459
title: Tufts Outdoor Hyperspectral Dataset

description: Hyperspectral images are represented by numerousnarrow wavelength bands in the visible and near-infrared partsof the electromagnetic spectrum. As hyperspectral imagery gainstraction for general computer vision tasks, there is an increasedneed for large and comprehensive datasets for use as trainingdata.Recent advancements in sensor technology allow us to capturehyperspectral data cubes at higher spatial and temporal reso-lution. However, there are few publicly available multi-purposehyperspectral datasets captured in outdoor terrestrial conditions.Furthermore, there are no publicly available datasets that include3D mesh representations of objects captured in outdoor scenes.This article introduces the first hyperspectral dataset of 3Dobjects and terrestrial outdoor scenes, the Tufts Outdoor Hyper-spectral Dataset (TOHS Dataset). The dataset includes 100 2D +3D hyperspectral scenes, each containing 164 spectral bands.The contributions of this work are 1) Detailed description ofthe content, acquisition procedure, and benchmark results onstate-of-the-art neural networks for 3D object scenes in the TuftsHyperspectral Database; 2) The first-of-its-kind hyperspectral3D dataset of outdoor objects that will be publicly available toresearchers worldwide, which will allow for the assessment andcreation of more robust, consistent, and adaptable AI algorithms;and 3) a comprehensive and up-to-date review on hyperspectralsystems and datasets
DOI: 10.15468/dl.pxw887
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Pleurothallis loranthophylla Rchb.f."
 ]
}

 The dataset includes 161 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022566-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27857520
title: <b>Evaluation of usability and acceptability of a peruvian Telemental health service for early assessment among vulnerable occupational workers: A formative study based on user-centered design</b>

description: <b>Objective: </b>Designing a telehealth service that facilitates screening, initial management, and timely referral for mental health diagnoses in workers with a history of SARS-CoV-2 infection, while evaluating its usability, acceptability, and user satisfactio
DOI: 10.6084/m9.figshare.27857520.v1
title: <b>Evaluation of usability and acceptability of a peruvian Telemental health service for early assessment among vulnerable occupational workers: A formative study based on user-centered design</b>

description: <b>Objective: </b>Designing a telehealth service that facilitates screening, initial management, and timely referral for mental health diagnoses in workers with a history of SARS-CoV-2 infection, while evaluating its usability, acceptability, and user satisfactio
DOI: 10.15468/dl.uacpvr
title: Occurrence Download

description: A dataset containing 7861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Ursus americanus Pallas, 1780"
 ]
}

 The dataset includes 7861 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022569-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5efyeg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)",
 "Country is New Zealand",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022570-241107131044228/datasets/export for details.
DOI: 10.5281/zenodo.14188291
title: data (Cognition and vascular endothelial function in hypertensive individuals with and without a history of Covid-19: A Cross-Sectional Study)
DOI: 10.5281/zenodo.14188292
title: data (Cognition and vascular endothelial function in hypertensive individuals with and without a history of Covid-19: A Cross-Sectional Study)
DOI: 10.15468/dl.4p9a5d
title: Occurrence Download

description: A dataset containing 6657 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maccullochella peelii (Mitchell, 1838)"
 ]
}

 The dataset includes 6657 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022573-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14188243
title: 19144_2020_09_07_DownUpshift_2_0_2_glu_ura_mig1msn2_phluorin_secondRound_00 (part 2)

description: High throughput time lapse experiment. Details can be found on the 'txt' files inside.
DOI: 10.5281/zenodo.14188244
title: 19144_2020_09_07_DownUpshift_2_0_2_glu_ura_mig1msn2_phluorin_secondRound_00 (part 2)

description: High throughput time lapse experiment. Details can be found on the 'txt' files inside.
DOI: 10.15468/dl.v255pt
title: Occurrence Download

description: A dataset containing 6657 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maccullochella peelii (Mitchell, 1838)"
 ]
}

 The dataset includes 6657 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022574-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c50k26p7z
title: MassIVE MSV000096469 - THE EFFECTS OF RADIOTHERAPY ON THE PRESENTATION OF PHOSPHORYLATED ANTIGENS BY CANCER CELLS
title: Radiation therapy (RT) activates multiple signalling pathways, primarily through protein phosphorylation, to regulate DNA repair, cell cycle, cell survival/death. Radiation also leads to presentation of different antigens, including neoantigens, on major histocompatibility class I (MHC-I) molecules improving cancer cell recognition by T cells. Peptides modified by phosphorylation have been shown to be presented by MHC-I molecules and serve as T cell antigens in cancer. Given the key role of phosphorylation in RT-induced DDR pathways, we hypothesize that irradiated cancer cells convey their signalling state to the adaptive immune system through changes in the MHC-presented immunopeptidome. We aim to test this hypothesis by characterizing the dynamic evolution of the RT-induced cellular phosphoproteome and its association with changes in the quality and quantity of phosphopeptides (pPep) presented by MHC-I on cancer cells and further identify immunogenic pPeptides which are recognized by T cells and may contribute to RT-induced tumor rejection.
DOI: 10.6073/pasta/d5cd5020b72ba5f47db53ac1dc360e64
title: Juvenile Salmonid Emigration Monitoring in the Lower American River, California.

description: Overview
 Operation of rotary screw traps on the Lower American River is part of a collaborative effort by the U.S. Fish and Wildlife Service, Pacific States Marine Fisheries Commission, and the California Department of Fish and Wildlife. The primary objectives of the study are to collect data that can be used to estimate the passage of juvenile fall-run Chinook Salmon Oncorhynchus tshawytscha and to quantify the raw catch of steelhead Oncorhynchus mykiss as well as winter, spring, and late fall runs of Chinook Salmon. Secondary objectives of the trapping operations focus on collecting biological data on juvenile salmonids and gathering environmental data that will be used to develop models that correlate environmental parameters with salmonid size, temporal presence, abundance, and production.
 The data package contains seven datasets including: raw catch, trap operation, environmental, and trap efficiency data.
 
 
 Raw Catch – Chinook Dataset
 This dataset covers ALL Chinook Salmon captured by the rotary screw traps. This spreadsheet includes biological data on: 1) unmarked fall-, spring-, and winter-run Chinook Salmon 2) marked (adipose clipped OR "fin clip") hatchery origin Chinook Salmon 3) recaptured marked fall-run (BBY OR "Pigment / Dye", Photonic Dye, and VIE OR "Elastomer") Chinook Salmon utilized in trap efficiency trials.
 
 
 Raw Catch – Steelhead Dataset
 This dataset covers ALL steelhead captured by the rotary screw traps. This spreadsheet includes biological data on: 1) unmarked (natural origin) steelhead 2) marked (adipose clipped OR "fin clip") hatchery origin steelhead 3) recaptured marked steelhead utilized in trap efficiency trials.
 
 
 Raw Catch – ByCatch Dataset
 This dataset provides biological data on ALL catch (EXCLUDING Chinook Salmon or steelhead) captured by the rotary screw traps. All catch in this table is of natural origin.
 
 
 Trap Operations Dataset
 This dataset provides trap operation data for each trap visit. Specifically, it includes data on the visit type, trap functioning status, start and end sampling dates and times, total revolutions and instantaneous revolution speeds, livewell intake statuses, debris data, and whether the catch associated for this record will be include for juvenile production estimates.
 
 
 Environmentals Dataset
 This dataset covers environmental data collected at the rotary screw traps. This spreadsheet includes turbidity (nephelometric turbidity units), water velocity (meters per second), dissolved oxygen (milligrams per liter), and water depth (centimeters).
 
 
 Trap Efficiency Summary Dataset
 This dataset provides a summary of each trap efficiency trial conducted. It includes the release date and time, the length of the test, the number of marked fish released and recaptured, and whether the trial was included for juvenile production estimates.
 
 
 Trap Efficiency Release FL Dataset
 This dataset provides biological data on a subsample of released fish utilized in trap efficiency trials.