cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1217712.10fu
title: SH1217712.10FU

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/sh1217713.10fu
title: SH1217713.10FU

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/sh1217714.10fu
title: SH1217714.10FU

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/sh1217716.10fu
title: SH1217716.10FU

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/sh1217721.10fu
title: SH1217721.10FU

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/sh1217722.10fu
title: SH1217722.10FU

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.c23pqs
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus educta"
 ]
}

 The dataset includes 84 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080504-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14428100
title: Endophytic Fungus Aspergillus
DOI: 10.5281/zenodo.18485067
title: Table 1 in Seven New Species of Crayfish of the Genus Cherax (Crustacea, Decapoda, Parastacidae) from Western New Guinea, Indonesia

description: Table 1. Materials studied, with GenBank accession numbers. Sequences of species represented by more than one sequence are listed consecutively, as labeled in Table 1.
GenBank Acc. No.SpeciesLocation16SCOISourceCherax alyciaeUnnamed creek, Boven Digoel Regency, South Papua, Indonesia; 7 December 2016MH457588 MH457589 MH457590MH457597 MH457599 MH457598Lukhaup et al., 2018 [13]Cherax arguni n. sp.Unnamed tributary close to Rafa village, northern part of Kaimana Regency, West Papua, Indonesia; November 2024PV648009 PV648010 PV648011PV646611 PV646612 PV646613This studyCherax boesemaniAjamaru Lake, Maybrat Regency, Southwest Papua, Indonesia; 1 ◦ 17 ′ 19.97 ′′ S, 132 ◦ 14 ′ 49.14 ′′ E; 23 January 2016KY654089 KY654090KY654084 KY654085Lukhaup et al., 2017 [12]Cherax bomberai n. sp.Unnamed tributary of Otauar River drainage in the NE part of Fakfak Regency, West Papua, Indonesia; November 2024PV648007 PV648008PV646609 PV646610This studyCherax communisPaniai Lake, Paniai Regency, Central Papua, IndonesiaMH457602Lukhaup et al., 2018 [13]Cherax doberai n. sp.Nameless creek in Teluk Bintuni Regency, West Papua, Indonesia; May 2019PV648012This studyCherax farhadii n. sp.Nameless creek in Teluk Bintuni Regency, West Papua, Indonesia; May 2019PQ777191 PQ777192Lukhaup et al., 2024 [14] (as C. sp. A, Figure 6 in [14])Cherax gherardiiPet tradeKU821432KU821417Blaha et al., 2016 [30]Cherax holthuisiUter-Aitinjo Lake, Maybrat Regency, Southwest Papua, IndonesiaKU821433KU821419Blaha et al., 2016 [30]Cherax kaimana n. sp.Unnamed tributary close to Rafa village, northern part of Kaimana Regency, West Papua, Indonesia; November 2024PV648006PV646608This studyCherax misolicusMisool Island, Raja Ampat Regency, Southwest Papua, Indonesia (Leiden Museum)KJ920813Eprilurahman et al. (unpublished)Cherax monticolaBaliem River, Wamena, Jayawijaya Regency, Highland Papua, IndonesiaKF649851 KJ920818KF649851Gan et al., 2014 [31]
description: Published as part of Lukhaup, Christian, Eprilurahman, Rury & Rintelen, Thomas von, 2025, Seven New Species of Crayfish of the Genus Cherax (Crustacea, Decapoda, Parastacidae) from Western New Guinea, Indonesia, pp. 3 in arthropoda 3 (2) on page 3, DOI: 10.3390/arthropoda3020010, http://zenodo.org/record/18484894
DOI: 10.5281/zenodo.17250019
title: Attitudes towards Statistics and R

description: Please read the "READ ME" file before working with the data set and the code provided.
DOI: 10.5281/zenodo.17250018
title: Attitudes towards Statistics and R

description: Please read the "READ ME" file before working with the data set and the code provided.
DOI: 10.15468/dl.2gcpbq
title: Occurrence Download

description: A dataset listing the 46 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gerridae"
 ]
}

 The dataset's 46 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012022-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13345173
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 1995–1999

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 1995 through 1999. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.18436894
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 1995–1999

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 1995 through 1999. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.18436889
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2000–2004

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2000 through 2004. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.13345201
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2000–2004

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2000 through 2004. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.13345203
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2005–2009

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2005 through 2009. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.18436884
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2005–2009

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2005 through 2009. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.13345205
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2010–2014

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2010 through 2014. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.18436881
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2010–2014

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2010 through 2014. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.13345209
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2015–2019

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2015 through 2019. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.18436879
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2015–2019

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2015 through 2019. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.18436874
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2020–2024

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2020 through 2024. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.13345213
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2020–2024

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2020 through 2024. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.18436969
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2025–2029

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2025 through 2029. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.18436968
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2025–2029

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains vertical profiles of aerial biomass from 2025 through 2029. Vertical profiles for other years and time series data products can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.13345265
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Time Series Data from 1995–2025

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains summarized time series data from 1995 through 2025. Vertical profiles of biological activity, which are more detailed, can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.18433334
title: Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Time Series Data from 1995–2025

description: The US NEXRAD radar network has monitored the aerosphere over the US and its territories since the 1990s and archived over 290 million files that contain a wealth of information about the movements of birds, bats, and insects. We extracted measurements of biological activity from all files in the NEXRAD archive.

This data record contains summarized time series data from 1995 through 2025. Vertical profiles of biological activity, which are more detailed, can be found in related works.

Please visit https://github.com/darkecology/darkeco-dataset to access the full dataset, including download links, documentation, and examples.
DOI: 10.5281/zenodo.18485935
title: Supplementary Material for "Early water on Mars hindered subduction-driven plate tectonics"

description: This document contains extended results, Figures S1-S3, and Table S1.
DOI: 10.5281/zenodo.18485934
title: Supplementary Material for "Early water on Mars hindered subduction-driven plate tectonics"

description: This document contains extended results, Figures S1-S3, and Table S1.