cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0196644.10fu
title: SH0196644.10FU

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: 10.3886/e242878
title: Al-Qalam University, Katsina 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form, Masters form

description: Al-Qalam University, Katsina 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form, Masters form, Phd form call ☎️(+23408039478772) for more inquiry and admission assistance.
DOI: 10.15156/bio/sh0196645.10fu
title: SH0196645.10FU

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/sh0196646.10fu
title: SH0196646.10FU

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/sh0196647.10fu
title: SH0196647.10FU

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/sh0196648.10fu
title: SH0196648.10FU

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/sh0196649.10fu
title: SH0196649.10FU

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.q3wd34
title: Occurrence Download

description: A dataset containing 5977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mus musculus, Myodes regulus, Crocidura lasiura, Apodemus agrarius)"
 ]
}

 The dataset includes 5977 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036938-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.455a8c
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rodolia cardinalis",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036939-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdwgt5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rodolia cardinalis",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036941-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17245590
title: Early-season changes in pests and predators at the edges of organic and IPM apple orchards
DOI: 10.5281/zenodo.17245591
title: Early-season changes in pests and predators at the edges of organic and IPM apple orchards
DOI: 10.26023/8b47-26z2-1q05
title: South Haven ICICLE Ground Suite. Version 1.0

description: This dataset contains ground-based measurements collected from the South Haven ICICLE Ground Suite during the ICICLE (In-Cloud ICing and Large-drop Experiment) field campaign from 27 January - 8 March 2019. Primary information included in the dataset are ground-based measurements of precipitation accumulation and rate, ice accretion, present weather type, atmospheric state parameters, winds, hydrometeor size distributions and velocities, and visibility. Data has been reviewed for quality and known data gaps exist due to power outages etc.
DOI: 10.15468/dl.sh3hfa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rodolia cardinalis",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036940-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17245333
title: On the Menu: Historical Menu Cards (State Library Collection)

description: This dataset comprises 2,403 images of historical menu cards from the Menükarten-Sammlung of the Berlin State Library, mostly spanning the period from 1880 to approximately 1913. The collection offers a rich visual and cultural archive of dining culture across Europe, capturing the evolution of public restaurants, elite hospitality, and bourgeois social life during the late 19th and early 20th centuries.

 

The cards originate from diverse contexts: royal and imperial courts (including Kaiser Wilhelm II’s court), private celebrations (weddings, club dinners), major public events (e.g., the opening of the Nord-Ostsee-Kanal and Cologne Cathedral), luxury hotels (e.g., Frankfurter Hof, Hotel Schweizerhof), and transatlantic cruise ships. Many feature intricate designs and illustrations.

Dataset Structure

The dataset consists of a single compressed zip file with directories which are named using the unique identifier PPN of each digitised item. Furthermore, a .csv file containing metadata for each item is provided. The .csv file contains, in the first column, the PPN of each individual digitised item. The metadata for each work has been extracted from METS/MODS files describing the contents and structure of a digital object published in the digitised collections.
DOI: 10.5281/zenodo.17245334
title: On the Menu: Historical Menu Cards (State Library Collection)

description: This dataset comprises 2,403 images of historical menu cards from the Menükarten-Sammlung of the Berlin State Library, mostly spanning the period from 1880 to approximately 1913. The collection offers a rich visual and cultural archive of dining culture across Europe, capturing the evolution of public restaurants, elite hospitality, and bourgeois social life during the late 19th and early 20th centuries.

 

The cards originate from diverse contexts: royal and imperial courts (including Kaiser Wilhelm II’s court), private celebrations (weddings, club dinners), major public events (e.g., the opening of the Nord-Ostsee-Kanal and Cologne Cathedral), luxury hotels (e.g., Frankfurter Hof, Hotel Schweizerhof), and transatlantic cruise ships. Many feature intricate designs and illustrations.

Dataset Structure

The dataset consists of a single compressed zip file with directories which are named using the unique identifier PPN of each digitised item. Furthermore, a .csv file containing metadata for each item is provided. The .csv file contains, in the first column, the PPN of each individual digitised item. The metadata for each work has been extracted from METS/MODS files describing the contents and structure of a digital object published in the digitised collections.
DOI: 10.25574/25230
title: Chandra X-ray Observatory ObsId 25230

description: Sleuthing the star cluster X-ray sources in the outer halo of the giant elliptical Cen A
DOI: 10.25574/25697
title: Chandra X-ray Observatory ObsId 25697

description: Mapping the Activity of the LINER I NGC 5005 from ~30 pc out to kpc scales
DOI: 10.25574/27500
title: Chandra X-ray Observatory ObsId 27500

description: Measuring The Expansion of the SNR N132D in X-rays
DOI: 10.6073/pasta/d7602fd0e62c7d222651f2b41009c79b
title: City of Seattle, Seattle Public Utilities, Marbled Murrelet Baseline Surveys 2005-2007, Cedar River Municipal Watershed, King County, WA

description: From 2005 to 2007, Seattle Public Utilities (SPU) hired consultants to use ornithological radar and protocol audio-visual (AV) surveys to establish baseline information on the distribution and abundance of Marbled Murrelets (Brachyramphus marmoratus) in the Cedar River Municipal Watershed (CRMW), Washington. Across the three years, radar surveys were conducted on 100 mornings at 18 sites, and AV surveys on 92 mornings at 12 sites. The study recorded murrelet targets via radar in all years, with 65 detections in 2005, 89 in 2006, and 25 in 2007. Mean daily landward radar counts ranged between 0 and 4 per morning, and did not differ significantly across years. Although overall radar counts were low, high day-to-day variability was observed (coefficients of variation from 130% to 173%). Monte Carlo simulations showed that with repeated surveys using the same methods, the monitoring program could detect an annual increase of 2–3% in Marbled Murrelet abundance over approximately 25–50 years. AV surveys confirmed murrelet occupancy at two sites: the Rex River in 2005 and the South Fork Cedar River in 2006. No murrelets were detected by AV in 2007, though radar data suggested low-level murrelet presence at several additional sub-basins. The findings indicate that Marbled Murrelets occur at low densities in the CRMW, likely limited by both high inland distance and relatively sparse old-growth forest structure suitable for nesting. The four radar stations established and resampled during the study provide an opportunity for long-term monitoring, offering sufficient power to detect changes in murrelet activity as ongoing forest restoration efforts in the CRMW progress.
DOI: 10.15468/dl.3bj2u3
title: Occurrence Download

description: A dataset containing 7441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fragaria chiloensis",
 "BasisOfRecord is one of (Specimen, Human Observation, Occurrence evidence, Material sample, Living Specimen)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7441 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036942-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/d08f-bvpw-rd07
title: Sterling ICICLE Ground Suite. Version 1.0

description: This dataset contains ground-based measurements collected from the Sterling ICICLE Ground Suite during the ICICLE (In-Cloud ICing and Large-drop Experiment) field campaign from 27 January - 8 March 2019. Primary information included in the dataset are ground-based measurements of precipitation accumulation and rate, ice accretion, present weather type, atmospheric state parameters, winds, hydrometeor size distributions and velocities, and visibility. Data has been reviewed for quality and known data gaps exist due to power outages etc.
DOI: 10.15468/dl.hybb2v
title: Occurrence Download

description: A dataset containing 3613 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-80.16734 34.80216,-80.16575 34.79374,-80.1608 34.78619,\n-80.15213 34.78594,-80.14203 34.78925,-80.13776 34.79721,-80.13746 34.8027,\n-80.14333 34.80781,-80.15351 34.81347,-80.16432 34.81037,-80.16734 34.80216))"
 ]
}

 The dataset includes 3613 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036944-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4aughj
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neonauclea wenzelii"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036943-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z23ren
title: Occurrence Download

description: A dataset containing 115632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hippophae rhamnoides)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 115632 records from 580 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036929-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qve84f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rodolia cardinalis",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036945-250920141307145/datasets/export for details.
DOI: 10.15468/dl.jk2wtj
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rodolia cardinalis",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036946-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9rdda
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rodolia cardinalis",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036947-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/33h3-h9ee-7m0f
title: UAH MIPS Parsivel Disdrometer Data. Version 1.0

description: This dataset contains University of Alabama - Huntsville Mobile Integrated Profiling System (UAH MIPS) Parsivel Disdrometer Data collected from 6 December 2013 to 28 January 2014 as part of the Ontario Winter Lake-effect Systems (OWLeS) project. Data were collected at 10 second intervals.
DOI: 10.6084/m9.figshare.21878025
title: MAP2B_GTDB_db_20230112

description: MAP2B_GTDB_db_20230112
DOI: 10.6084/m9.figshare.21878025.v2
title: MAP2B_GTDB_db_20230112

description: MAP2B_GTDB_db_20230112
DOI: 10.6084/m9.figshare.21878025.v1
title: MAP2B_GTDB_db_20230112

description: MAP2B_GTDB_db_20230112
DOI: 10.15468/dl.9w7p29
title: Occurrence Download

description: A dataset containing 634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acosmium nitens",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation",
 "Continent is South America"
 ]
}

 The dataset includes 634 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036948-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddsspj
title: Occurrence Download

description: A dataset containing 2272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.16734 34.80216,-80.16575 34.79374,-80.1608 34.78619,\n-80.15213 34.78594,-80.14203 34.78925,-80.13776 34.79721,-80.13746 34.8027,\n-80.14333 34.80781,-80.15351 34.81347,-80.16432 34.81037,-80.16734 34.80216))",
 "TaxonKey is Lepidoptera",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2272 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036950-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.df8g3v
title: Occurrence Download

description: A dataset containing 37064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nautilida"
 ]
}

 The dataset includes 37064 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036949-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/7rwc-fc33-m50c
title: UAH MIPS X-Band Profiling Radar (XPR) Data. Version 1.0

description: This data set contains data from the X-Band Profiling Radar (XPR) that was at locations coincident with the MIPS profiling system during the Ontario Winter Lake-effect Systems (OWLeS) project. The data were provided by the University of Alabama-Huntsville and are in Universal Format (UF). Please contact the author of this dataset for information on these data. These data are available for the following dates/IOPs: 20131206-20131208: IOP1 20131210-20131212: IOP2b 20131212-20131213: IOP3 20131215-20131216: IOP4 20131218-20131219: IOP5 20140106-20140107: IOP7a 20140107-20140108: IOP7b 20140118-20140118: IOP12 20140127-20140128: IOP21 20140128-20140128: IOP23
DOI: 10.15468/dl.durgfn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rodolia cardinalis",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036952-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.16794692
title: Global Fire Emissions Database version 5 (GFED5)

description: Data and code accompanying the publication "Landscape fire emissions from the 5th version of the Global Fire Emissions Database (GFED5)" published in Scientific Data.

Updates for recent years as well as ancillary data can be retrieved (sftp) via https://www.globalfiredata.org. This repository contains the following files:



GFED5.1_monthly.zip contains monthly burned area and trace gas emissions (1997-2022)

GFED5.1_daily.zip contains daily trace gas emissions (1997-2022)

GFED5.1_ecosystem.zip contains monthly burned area and carbon emissions, including a breakdown in categories (2002-2022)

GFED5.1_code.zip contain Python scripts used to construct the netcdf files, figures, and tables in the publication above