cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5970919
title: Svalbox-DOM_2021-0016_Kapp-Morton

description: <strong>Model description: </strong><br> Digital outcrop model of the Kapp Morton beach, in Van Mijenfjorden. Exhibiting outcrops of the Carolinefjellet Formation.<br> <br> <strong>Data availability:</strong><br> All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.2.12040).<br> Ground control point data use CRS epsg:4326.Exported model data use CRS epsg:32633.<br> <br> <strong>Show and visualise on Svalbox.no:</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5281/zenodo.5970918
title: Svalbox-DOM_2021-0016_Kapp-Morton

description: <strong>Model description: </strong><br> Digital outcrop model of the Kapp Morton beach, in Van Mijenfjorden. Exhibiting outcrops of the Carolinefjellet Formation.<br> <br> <strong>Data availability:</strong><br> All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.2.12040).<br> Ground control point data use CRS epsg:4326.Exported model data use CRS epsg:32633.<br> <br> <strong>Show and visualise on Svalbox.no:</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5281/zenodo.5151563
title: Svalbox-DOM_2020-0004_Hanaskogelva

description: <strong>Model description: </strong><br> Model of the outcrops in outer Hanaskogdalen, Svalbard, close to Revneset.<br> <br> <strong>Data availability:</strong><br> The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.1.11797).<br> Exported model data use CRS epsg:32633.<br> <br> <strong>Show and visualise on Svalbox.no:</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5281/zenodo.5151562
title: Svalbox-DOM_2020-0004_Hanaskogelva

description: <strong>Model description: </strong><br> Model of the outcrops in outer Hanaskogdalen, Svalbard, close to Revneset.<br> <br> <strong>Data availability:</strong><br> The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.1.11797).<br> Exported model data use CRS epsg:32633.<br> <br> <strong>Show and visualise on Svalbox.no:</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5281/zenodo.5134999
title: Svalbox-DOM_2020-0002_Janusfjellet

description: <strong>Model description</strong><br> Folding and faulting at Janusfjellet affecting several sandstone (including through the Festningen sandstone) and shale units. Compressive setting with fault-propagation folds.<br> <br> <strong>Metadata</strong><br> The included processing report specifies processing parameters that were used as input for the processing software (Agisoft Metashape, v1.6.3.10732).<br> Exported model data use CRS epsg:32633.<br> <br> <strong>Svalbox.no</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective virtual outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5281/zenodo.5134998
title: Svalbox-DOM_2020-0002_Janusfjellet

description: <strong>Model description</strong><br> Folding and faulting at Janusfjellet affecting several sandstone (including through the Festningen sandstone) and shale units. Compressive setting with fault-propagation folds.<br> <br> <strong>Metadata</strong><br> The included processing report specifies processing parameters that were used as input for the processing software (Agisoft Metashape, v1.6.3.10732).<br> Exported model data use CRS epsg:32633.<br> <br> <strong>Svalbox.no</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective virtual outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5281/zenodo.5137749
title: Svalbox-DOM_2020-0003_Eistradalen-West

description: <strong>Model description:</strong><br> Outcrop on western side of Eistradalen West, Agardhdalen area. Sassendalen and Kapp Toscana groups, including a reverse fault.<br> <br> <strong>Data availability:</strong><br> The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.1.11797). Exported model data use CRS epsg:32633<br> <br> <strong>Show and visualise on Svalbox.no:</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5281/zenodo.5137748
title: Svalbox-DOM_2020-0003_Eistradalen-West

description: <strong>Model description:</strong><br> Outcrop on western side of Eistradalen West, Agardhdalen area. Sassendalen and Kapp Toscana groups, including a reverse fault.<br> <br> <strong>Data availability:</strong><br> The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.1.11797). Exported model data use CRS epsg:32633<br> <br> <strong>Show and visualise on Svalbox.no:</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.6084/m9.figshare.18316241
title: Taylor Allometry article for Bull ESA 2022 - data for Fig 1: Data for Taylor 2022 "Allometry-based field, laboratory and desktop exercises for marine ecology students" Bulletin of the Ecological Society of America

description: Abundance and body size data for rocky shore animals at High Island, Whangarei Heads, New Zealand.<br>
DOI: 10.6084/m9.figshare.18316241.v1
title: Taylor Allometry article for Bull ESA 2022 - data for Fig 1: Data for Taylor 2022 "Allometry-based field, laboratory and desktop exercises for marine ecology students" Bulletin of the Ecological Society of America

description: Abundance and body size data for rocky shore animals at High Island, Whangarei Heads, New Zealand.<br>
DOI: 10.6084/m9.figshare.18316265
title: Taylor Allometry article for Bull ESA 2022 - data for Fig 3: Data for Taylor 2022 "Allometry-based field, laboratory and desktop exercises for marine ecology students" Bulletin of the Ecological Society of America

description: Fish age-size data from fishbase.org<br>
DOI: 10.6084/m9.figshare.18316265.v1
title: Taylor Allometry article for Bull ESA 2022 - data for Fig 3: Data for Taylor 2022 "Allometry-based field, laboratory and desktop exercises for marine ecology students" Bulletin of the Ecological Society of America

description: Fish age-size data from fishbase.org<br>
DOI: 10.6084/m9.figshare.19388489
title: white throated sparrow variant calling format

description: WGS of 62 white throated sparrows. VCF file using Tan reference genome
DOI: 10.6084/m9.figshare.3761562.v2163
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.6371655
title: The SIAEW Corpus of Spanish Iso-Accented English Words

description: The SIAEW Corpus (Spanish Iso-Accented English Words) is a collection of monosyllabic English words in which one segment (the 'target') is replaced with its Spanish-accented counterpart, at one of 5 gradations of accentedness. Steps are equally-spaced in accentedness as judged by native listeners. The procedure used to generate the Corpus is described in detail in Pérez Ramón, García Lecumberri and Cooke (submitted to Interspeech 2022); for a preprint contact rperez.ram@gmail.com. Please refer to the document SIAEW.pdf for a longer description of the SIAEW Corpus contents.
DOI: 10.5281/zenodo.6371654
title: The SIAEW Corpus of Spanish Iso-Accented English Words

description: The SIAEW Corpus (Spanish Iso-Accented English Words) is a collection of monosyllabic English words in which one segment (the 'target') is replaced with its Spanish-accented counterpart, at one of 5 gradations of accentedness. Steps are equally-spaced in accentedness as judged by native listeners. The procedure used to generate the Corpus is described in detail in Pérez Ramón, García Lecumberri and Cooke (submitted to Interspeech 2022); for a preprint contact rperez.ram@gmail.com. Please refer to the document SIAEW.pdf for a longer description of the SIAEW Corpus contents.
DOI: 10.5281/zenodo.6371658
title: GPT-J Code Clone Detection

description: This is GPT-J code clone detection.
DOI: 10.5281/zenodo.6371668
title: Training dataset of Hela cells for oneat network training

description: Here we present the tif files to be used to trainthe Oneat networks for detection of division events for Hela cells imaged under different imaging modalities and presented originally here: https://zenodo.org/record/6139958#.Yjcjl3rMJD8
description: Computational support provided by Jean Zay dynamic access grant: AD011013396
DOI: 10.5281/zenodo.6371667
title: Training dataset of Hela cells for oneat network training

description: Here we present the tif files to be used to trainthe Oneat networks for detection of division events for Hela cells imaged under different imaging modalities and presented originally here: https://zenodo.org/record/6139958#.Yjcjl3rMJD8
description: Computational support provided by Jean Zay dynamic access grant: AD011013396
DOI: 10.25919/v0d1-sp80
title: RV Investigator Voyage IN2021_V03 End of Voyage (EOV) Archive

description: This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage IN2021_V03, titled "Integrated Marine Observing System: monitoring of East Australian Current property transports at 27 degrees South (multi-year)." The voyage took place from Hobart (TAS) to Brisbane (QLD) between May 8 and June 3, 2021 (AEST). For further information please refer to the voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Greenhouse Gas Analysers (Picarro), Cloud Condensation Nuclei counter (CCN), Condensation Particle Counters (CPC), Disdrometer, Radon and Ozone sensors, CTD, Hydrochemistry, Gravimeter, pCO2, Multibeam Echosounder (EM710, EM122), Fisheries echosounder (ME70), Sub-bottom Profiler (SBP120), GPS Positioning System, Doppler Velocity Log, Thermosalinographs (TSG), Fluorometer, Oxygen optode, Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), Multiangle Absorption Photometer (MAAP), Nephelometer, Atmospheric Temperature, Humidity, Pressure, Wind and Rain sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Starboard and Portside Radiometers, Ultra Short BaseLine Underwater Positioning System (USBL), Triaxus, Weather Radar, Wildlife observations (seabirds, cetaceans and seals), Expendable Bathythermographs (XBTs). Voyage-specific measurements: Autonomous Surface Vehicle CO2 sensor (ASVCO2), Beam Trawl, Biogeochemical (BGC) Argo floats, Core Argo floats, Bongo Net, Plankton Net, Cosmic Ray Detector, Moorings. The archive for the IN2021_V03 EOV raw data is curated by the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via NCMI_DataLibrarians@csiro.au.
DOI: 10.15156/bio/sh0800552.10fu
title: SH0800552.10FU

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/sh0800553.10fu
title: SH0800553.10FU

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/sh0800554.10fu
title: SH0800554.10FU

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/sh0800555.10fu
title: SH0800555.10FU

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/sh0800556.10fu
title: SH0800556.10FU

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/sh0800557.10fu
title: SH0800557.10FU

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/sh0800558.10fu
title: SH0800558.10FU

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.