cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0216679.10fu
title: SH0216679.10FU

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/sh0216680.10fu
title: SH0216680.10FU

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/sh0216681.10fu
title: SH0216681.10FU

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/sh0216682.10fu
title: SH0216682.10FU

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/sh0216683.10fu
title: SH0216683.10FU

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/sh0216684.10fu
title: SH0216684.10FU

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/sh0216685.10fu
title: SH0216685.10FU

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/sh0216686.10fu
title: SH0216686.10FU

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/sh0216687.10fu
title: SH0216687.10FU

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: 10.25582/data.2024-04.3090848/2557595
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090849/2557596
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090850/2557597
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090851/2557598
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090852/2557599
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090853/2557600
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090854/2557601
title: Data for EMSL Project 51287 from April 2024
DOI: 10.4121/fd2fd715-41eb-476a-a9b7-f50d886afb75
title: Data underlying the study of Winter storm Uri Texas County, including historical Outage, selected Weather features, and SSI indices

description: This is a dataset that collects Texas state-wide outage counts by counties during the Winterstorm Uri 2021, . It has coupled these outage data with selected weather features at 3 hour intervals, aligned to the same spatial and temporal scale. A localized variant of Spatial Self Information indices for all features are computed, adapted from the repository https://github.com/Octopolugal/Spatial-Self-Information. The column "outage class" is a derived column based on quantile bins from outage counts, with 0 describing 0 outages, 1 ~ (0,50), 2 ~ [50,90), 3 ~ [90, 100].
DOI: 10.4121/fd2fd715-41eb-476a-a9b7-f50d886afb75.v1
title: Data underlying the study of Winter storm Uri Texas County, including historical Outage, selected Weather features, and SSI indices

description: This is a dataset that collects Texas state-wide outage counts by counties during the Winterstorm Uri 2021, . It has coupled these outage data with selected weather features at 3 hour intervals, aligned to the same spatial and temporal scale. A localized variant of Spatial Self Information indices for all features are computed, adapted from the repository https://github.com/Octopolugal/Spatial-Self-Information. The column "outage class" is a derived column based on quantile bins from outage counts, with 0 describing 0 outages, 1 ~ (0,50), 2 ~ [50,90), 3 ~ [90, 100].
DOI: 10.5281/zenodo.14919620
title: AMPERE Summary Plot Movies (2023-Nov)

description: 2023-Nov AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14919621
title: AMPERE Summary Plot Movies (2023-Nov)

description: 2023-Nov AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.6075/j0j38swn
title: Kenting Fall 2022 - Outlet Reef. In Supplemental large-area imaging data from: Groundtruthing assessments of lab-based coral thermal tolerance with large-area imaging

description: In August and September of 2022, we visited Outlet reef again to collect large-area imagery as part of the fall 2022 expedition. For each site, a high-resolution orthoprojection image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file contained within each component. Site specific metadata can be found within a METADATA.txt file contained within each component.
DOI: 10.6084/m9.figshare.28474121
title: Chronological Summary of Clinical Events from Birth to Last Documented Intervention is revealed in (Table 1)

description: Chronological Summary of Clinical Events from Birth to Last Documented Intervention is revealed in (Table 1)<br>
DOI: 10.6075/j05x298c
title: Kenting Fall 2022 - Haikou Reef. In Supplemental large-area imaging data from: Groundtruthing assessments of lab-based coral thermal tolerance with large-area imaging

description: In August and September of 2022, we visited Haikou reef again to collect large-area imagery as part of the fall 2022 expedition. For each site, a high-resolution orthoprojection image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file contained within each component. Site specific metadata can be found within a METADATA.txt file contained within each component.
DOI: 10.6075/j0251jjz
title: Kenting Fall 2022 - Inlet Reef. In Supplemental large-area imaging data from: Groundtruthing assessments of lab-based coral thermal tolerance with large-area imaging

description: In August and September of 2022, we visited Inlet reef again to collect large-area imagery as part of the fall 2022 expedition. For each site, a high-resolution orthoprojection image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file contained within each component. Site specific metadata can be found within a METADATA.txt file contained within each component.
DOI: 10.6075/j0sn099w
title: Kenting Spring 2022 - Haikou Reef. In Supplemental large-area imaging data from: Groundtruthing assessments of lab-based coral thermal tolerance with large-area imaging

description: In April of 2022, we visited Haikou reef to collect large-area imagery as part of the spring 2022 expedition. For each site, a high-resolution orthoprojection image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file contained within each component. Site specific metadata can be found within a METADATA.txt file contained within each component.
DOI: 10.6075/j0xd121m
title: Kenting Spring 2022 - Outlet Reef. In Supplemental large-area imaging data from: Groundtruthing assessments of lab-based coral thermal tolerance with large-area imaging

description: In April of 2022, we visited Outlet reef to collect large-area imagery as part of the spring 2022 expedition. For each site, a high-resolution orthoprojection image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file contained within each component. Site specific metadata can be found within a METADATA.txt file contained within each component.
DOI: 10.6075/j09k4bkc
title: Supplemental large-area imaging data from: Groundtruthing assessments of lab-based coral thermal tolerance with large-area imaging

description: These data include the supplemental large-area imaging (LAI) data for a study conducted on three reefs in southern Taiwan with different thermal histories. The study compared in-situ LAI monitoring with ex-situ experiments with the goal of groundtruthing some of the experimental results. The other supplemental data from this paper are publicly available on GitHub (https://github.com/michaeltconnelly/taiwan_p-acuta [for algal symbiont identification] and https://github.com/CJ-McRae/McRae_Holloway_et_al_GCB_submission).

Complementary to the heat-stress assay assessment of thermal tolerance we established 3 large-area imaging plots (5 m x 5 m; 25 m2) at each reef site. Images were collected during the spring (April 20 – May 5) and again in the fall (August 29 – September 23) of 2022 at Haikou, Inlet, and Outlet reefs. All plots were centered on the 2-3 m isobath and permanent markers were installed to ensure the same area was resurveyed in the fall. Image collection methods were adapted from the Sandin Lab (2023). In brief, a team of two SCUBA divers conducted the large-area imaging surveys; one diver set up the plot and collected site metadata while the other diver collected the imagery. The image collection diver swam in a boustrophedonic pattern approximately 1 m above the bottom. Images were collected using Olympus TG-6 cameras (25 mm equivalent focal length) at a one second interval. At least 2,000 images were collected at each plot to ensure sufficient image overlap.
DOI: 10.6075/j0nv9jkm
title: Kenting Spring 2022 - Inlet Reef. In Supplemental large-area imaging data from: Groundtruthing assessments of lab-based coral thermal tolerance with large-area imaging

description: In May of 2022, we visited Inlet reef to collect large-area imagery as part of the spring 2022 expedition. For each site, a high-resolution orthoprojection image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file contained within each component. Site specific metadata can be found within a METADATA.txt file contained within each component.
DOI: 10.13021/mars/14185
title: Temple Data: Jomon and Yayoi

description: To access this dataset, go to https://doi.org/10.13021/orc2020/LYETXQ
description: These data include long bone measurements for adults, cross-sectional geometric properties of long bones for subadults, and data regarding linear enamel hypoplasia formation for a series of individuals that was collected using a measuring microscope. The data are associated with skeletal samples from the Jomon and Yayoi cultural phases of Japanese prehistory.
DOI: 10.15468/dl.kjmyt4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is RIO GRaNdE dO SUL",
 "TaxonKey is Harpia harpyja (Linnaeus, 1758)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003507-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/eec21530f714429b
title: Custom collection of Doppler lidar, and Doppler lidar wind data from Chilbolton between 1 Jan and 31 May 2023
DOI: 10.15468/dl.2yc5w3
title: Occurrence Download

description: A dataset containing 19385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coprinopsis atramentaria (Bull.) Redhead, Vilgalys & Moncalvo"
 ]
}

 The dataset includes 19385 records from 321 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003508-250221090833381/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.28271135
title: Outputs

description: Outputs
DOI: 10.6084/m9.figshare.28474061
title: Supplemental_Tables

description: Supplemental Tables for sensitivity analyses
DOI: 10.60656/aeee554d08734a47
title: Custom collection of Doppler lidar, and Doppler lidar wind data from Chilbolton between 1 Jan and 31 Dec 2023
DOI: 10.6075/j0bv7gz5
title: Data From: Nyctinastic leaf folding mimic reduces herbivory by Chromacris trogon grasshoppers. In The Catalyst at UC San Diego

description: Files in annotated_leaf_pictures.zip were generated using paint.net version 5.0.6.
description: The experiment that produced this dataset tests the hypothesis that leaflet folding alone can deter herbivores. In the experiment, a leaf preference experiment was performed on Chromacris trogon grasshoppers. Small oval cutouts were made from leaves of the grasshopper’s preferred food source, Iochroma arborescens(Solanaceae), and were combined with small pieces of tape and dry grass to construct artificial leaves resembling the day and night form of the plant A. pintoi. Arachis pintoi (Fabaceae) is a common relative of the cultivated peanut, and folds its four leaflets up to look like one at night. The adaptive significance of this folding behavior at night (foliar nyctinasty) is unknown, and investigating the significance of foliar nyctinasty is the primary motivation for the experiment. In the experiment, groups of three grasshoppers were starved for 24 hours and then placed in petri dishes containing one closed and one open artificial leaf. After 30 six-hour trials, the average herbivory of open leaves was 12.3%, while closed leaves was 5.2% (p = 0.00145), indicating a significant preference for open leaves. These results suggest that the folded configuration of A. pintoi leaves can be a defense against herbivory.
DOI: 10.6075/j0fn16hm
title: The Catalyst at UC San Diego

description: The Catalyst, founded summer of 2021, is an inclusive, open access paper series under the Undergraduate Research Hub at UCSD which aims to empower the voices of students who have a passion for conducting research.
DOI: 10.15468/dl.4w9d2u
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is RIO GRaNdE dO SUL",
 "TaxonKey is Leptasthenura platensis Reichenbach, 1853"
 ]
}

 The dataset includes 166 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003509-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2s7pe6
title: Occurrence Download

description: A dataset containing 591170 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is eButterfly Surveys"
 ]
}

 The dataset includes 591170 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003505-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.