cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0191249.10fu
title: SH0191249.10FU

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/sh0191250.10fu
title: SH0191250.10FU

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/sh0191251.10fu
title: SH0191251.10FU

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/sh0191252.10fu
title: SH0191252.10FU

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/sh0191253.10fu
title: SH0191253.10FU

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/sh0191254.10fu
title: SH0191254.10FU

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: 10.1594/pangaea.707388
title: Fig. 3&4 Time series of primary production and calcification data from water samples at station Anse des Cuivres, NW Mediterranean sea
DOI: 10.1594/pangaea.614450
title: Vertical profiles of downwelling irradiance and upwelling radiance measured with a free-fall spectroradiometer during POLARSTERN cruise ANT-XXIII/1
DOI: 10.1594/pangaea.611979
title: Particulate organic carbon and nitrogen measured in surface water during POLARSTERN cruise ANT-XXIII/1
DOI: 10.1594/pangaea.614505
title: Optical backscattering profiles (downcast) during POLARSTERN cruise ANT-XXIII/1
DOI: 10.1594/pangaea.611978
title: Particulate organic carbon and nitrogen measured on water bottle samples during POLARSTERN cruise ANT-XXIII/1
DOI: 10.1594/pangaea.717852
title: Seawater carbonate chemistry and calcification at Anse des Cuivres, NW Mediterranean, 2004

description: The community metabolism of a shallow infralittoral ecosystem dominated by the calcareous macroalgae Corallina elongata was investigated in Marseilles (NW Mediterranean), by monitoring hourly changes of seawater pH and total alkalinity over 6 d in February 2000. Fair weather conditions prevailed over the study period as indicated by oceanographic (temperature, salinity, and current velocity and direction) and meteorological variables, which validated the standing water hypothesis. This temperate ecosystem exhibited high community gross primary production (GPP = 519 ± 106 mmol C m-2 d-1, n = 6) and also supported high rates of community respiration (R). As a result, the system was slightly autotrophic (net community production, NCP = 20 mmol C m-2 d-1), with a GPP/R ratio of 1.06. NCP exhibited circadian variations with 2- to 3-fold changes in community respiration, both in the light and in the dark. Rates of net community calcification also exhibited circadian variations, with positive rates (up to 24 mmol CaCO3 m-2 h-1) for irradiance values &gt;300 W m-2 (about 1380 µmol photon m-2 s-1). Below this irradiance threshold, net community dissolution prevailed. Daily net calcification (G) was on average 8 mmol CaCO3 m-2 d-1. CO2 fluxes generated by primary production, respiration, and calcification suggest that the study site was a potential atmospheric CO2 sink of 15 mmol CO2 m-2 d-1 at the time of measurement.
description: In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Lavigne and Gattuso, 2011) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI).
description: Supplement to: Bensoussan, Nathaniel; Gattuso, Jean-Pierre (2007): Community primary production and calcification in a NW Mediterranean ecosystem dominated by calcareous macroalgae. Marine Ecology Progress Series, 334, 37-45
DOI: 10.1594/pangaea.886619
title: DS3 Ocean Optics Dataset

description: This dataset represents a compilation of in situ measurements of ocean spectral remote-sensing reflectance coupled with subsurface measurements of absorption and backscattering coefficients. The data is used in the validation of an inverse model for estimating inherent optical properties of seawater from ocean remote-sensing reflectance, as described in the article:Loisel, H., D. Stramski, D. Dessaily, C. Jamet, L. Li, and R. A. Reynolds. 2018. An inverse model for estimating the optical absorption and backscattering coefficients of seawater from remote-sensing reflectance over a broad range of oceanic and coastal marine environments. Journal of Geophysical Research: Oceans, doi:10.1002/2017JC013632The measurements in this dataset were collected or compiled by the Scripps Institution of Oceanography Ocean Optics Research Laboratory (https://scripps.ucsd.edu/labs/oceanoptics/), and are referred to in the above article as dataset DS3.
DOI: 10.1594/pangaea.614557
title: Beam attenuation profiles (upcast) during POLARSTERN cruise ANT-XXIII/1
DOI: 10.1594/pangaea.888580
title: (Table 3, page 78) Element composition versus depth of layers inside manganese nodules of the Madeira Abyssal Plain

description: Before analysis the samples were digested in HF and evaporated from a HClO4-HNO 3 mixture. The residue was dissolved in 50 ml of 1N HCl.From 1983 until 1989 NOAA-NCEI compiled the NOAA-MMS Marine Minerals Geochemical Database from journal articles, technical reports and unpublished sources from other institutions. At the time it was the most extended data compilation on ferromanganese deposits world wide. Initially published in a proprietary format incompatible with present day standards it was jointly decided by AWI and NOAA to transcribe this legacy data into PANGAEA. This transfer is augmented by a careful checking of the original sources when available and the encoding of ancillary information (sample description, method of analysis...) not present in the NOAA-MMS database.
DOI: 10.1594/pangaea.888581
title: (Table 4, page 80) Element composition versus depth inside sediment cores taken from the Madeira Abyssal Plain

description: Before analysis the samples were digested in HF and evaporated from a HClO4-HNO 3 mixture. The residue was dissolved in 50 ml of 1N HCl.From 1983 until 1989 NOAA-NCEI compiled the NOAA-MMS Marine Minerals Geochemical Database from journal articles, technical reports and unpublished sources from other institutions. At the time it was the most extended data compilation on ferromanganese deposits world wide. Initially published in a proprietary format incompatible with present day standards it was jointly decided by AWI and NOAA to transcribe this legacy data into PANGAEA. This transfer is augmented by a careful checking of the original sources when available and the encoding of ancillary information (sample description, method of analysis...) not present in the NOAA-MMS database.
DOI: 10.1594/pangaea.888579
title: (Table 1, page 76) 10Be concentration in a manganese coating and sediment from the Madeira Abyssal Plain, Atlantic Ocean

description: From 1983 until 1989 NOAA-NCEI compiled the NOAA-MMS Marine Minerals Geochemical Database from journal articles, technical reports and unpublished sources from other institutions. At the time it was the most extended data compilation on ferromanganese deposits world wide. Initially published in a proprietary format incompatible with present day standards it was jointly decided by AWI and NOAA to transcribe this legacy data into PANGAEA. This transfer is augmented by a careful checking of the original sources when available and the encoding of ancillary information (sample description, method of analysis...) not present in the NOAA-MMS database.
DOI: 10.1594/pangaea.614506
title: Optical backscattering profiles (upcast) during POLARSTERN cruise ANT-XXIII/1
DOI: 10.1594/pangaea.614556
title: Beam attenuation profiles (downcast) during POLARSTERN cruise ANT-XXIII/1
DOI: 10.1594/pangaea.888451
title: (Table 1, page 76) 10Be concentration in manganese nodules from the Madeira Abyssal Plain, Atlantic Ocean

description: Before analysis the samples were digested in HF and evaporated from a HClO4-HNO 3 mixture. The residue was dissolved in 50 ml of 1N HCl.From 1983 until 1989 NOAA-NCEI compiled the NOAA-MMS Marine Minerals Geochemical Database from journal articles, technical reports and unpublished sources from other institutions. At the time it was the most extended data compilation on ferromanganese deposits world wide. Initially published in a proprietary format incompatible with present day standards it was jointly decided by AWI and NOAA to transcribe this legacy data into PANGAEA. This transfer is augmented by a careful checking of the original sources when available and the encoding of ancillary information (sample description, method of analysis...) not present in the NOAA-MMS database.
DOI: 10.1594/pangaea.949570
title: Seasonal lipid classes of the cold-water coral Desmophyllum dianthus from Comau Fjord, Chile

description: Between September 2016 and August 2017, we conducted year-long reciprocal transplantation experiments using the cold-water coral Desmophyllum dianthus along natural oceanographic horizontal and vertical gradients (vertically: 20 m to 300 m depth and horizontally: head to mouth of fjord) in Comau Fjord to study seasonal changes and the acclimatisation potential of its lipid composition. Seasonal lipid classes of native and novel (cross-transplanted) corals were measured at six shallow (A-F, 20 m) and one deep station (Ed, 300 m) during autral summer (January), autumn (May) and winter (August).
DOI: 10.15468/dl.7g55mn
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.25139 11.11565,-74.09545 11.11565,-74.09545 11.21908,-74.25139 11.21908,-74.25139 11.11565))",
 "TaxonKey is Mollusca"
 ]
}

 The dataset includes 442 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018028-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em6cpc
title: Occurrence Download

description: A dataset containing 5598910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 2000-2024"
 ]
}

 The dataset includes 5598910 records from 2804 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018015-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vh9xxu
title: Occurrence Download

description: A dataset containing 107265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calamagrostis arenaria (L.) Roth",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 107265 records from 484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022632-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.js2mdk
title: Occurrence Download

description: A dataset containing 107265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calamagrostis arenaria (L.) Roth",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 107265 records from 484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022631-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x75y5k
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "TaxonKey is Olea ferruginea (Aiton) Steud."
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022700-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ets7mx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "TaxonKey is Opuntia bergeriana F.A.C.Weber ex A.Berger"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022722-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15161/oar.it/212154
title: Carta Geologica d'Italia alla scala 1:50.000, F. 291 Pergola

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1971 e il 1973) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15161/oar.it/212155
title: Carta Geologica d'Italia alla scala 1:50.000, F. 291 Pergola

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1971 e il 1973) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.5281/zenodo.14845256
title: Dataset for Measuring Immersion in Virtual Reality Leveraging Linkography for Evaluation

description: This dataset contains the raw experimental data collected for the study "Measuring Immersion in Virtual Reality Leveraging Linkography for Evaluation". The study investigates the use of Linkography, traditionally applied in creativity assessment, as a novel tool for measuring immersion in Virtual Reality (VR) experiences. The dataset includes participant responses, Linkography entropy calculations, and immersion scores obtained from Visual Guidance in VR (VGVR) questionnaire, which incorporates elements from the Slater-Usoh-Steed (SUS) model and the Aesthetic Experience Questionnaire (AEQ).

Included Files:



Linkography Data.xlsx – Linkography-based entropy calculations for each participant.

Visual Guidance Scores.xlsx – Data related to different visual guidance methods in VR (No Guidance, Forced Rotation, Object to Follow).


Methodology:

Participants watched VR animations incorporating three visual guidance techniques—No Guidance, Forced Rotation, and Object (firefly) to Follow. They then completed VGVR questionnaires and Linkography diagrams, allowing for a comparison between subjective immersion reports and entropy-based cognitive engagement metrics.

Usage and Licensing:

This dataset is provided under a Creative Commons Attribution 4.0 (CC BY 4.0) license, allowing researchers to use, modify, and distribute the data while citing the original study.

Citation:

If you use this dataset in your research, please cite the corresponding paper:
DOI: 10.5281/zenodo.14845257
title: Dataset for Measuring Immersion in Virtual Reality Leveraging Linkography for Evaluation

description: This dataset contains the raw experimental data collected for the study "Measuring Immersion in Virtual Reality Leveraging Linkography for Evaluation". The study investigates the use of Linkography, traditionally applied in creativity assessment, as a novel tool for measuring immersion in Virtual Reality (VR) experiences. The dataset includes participant responses, Linkography entropy calculations, and immersion scores obtained from Visual Guidance in VR (VGVR) questionnaire, which incorporates elements from the Slater-Usoh-Steed (SUS) model and the Aesthetic Experience Questionnaire (AEQ).

Included Files:



Linkography Data.xlsx – Linkography-based entropy calculations for each participant.

Visual Guidance Scores.xlsx – Data related to different visual guidance methods in VR (No Guidance, Forced Rotation, Object to Follow).


Methodology:

Participants watched VR animations incorporating three visual guidance techniques—No Guidance, Forced Rotation, and Object (firefly) to Follow. They then completed VGVR questionnaires and Linkography diagrams, allowing for a comparison between subjective immersion reports and entropy-based cognitive engagement metrics.

Usage and Licensing:

This dataset is provided under a Creative Commons Attribution 4.0 (CC BY 4.0) license, allowing researchers to use, modify, and distribute the data while citing the original study.

Citation:

If you use this dataset in your research, please cite the corresponding paper:
DOI: 10.5281/zenodo.14845337
title: The time of wetness and grid data for each of the seven geographical regions of China in 2013 and 2022.
DOI: 10.5281/zenodo.14845338
title: The time of wetness and grid data for each of the seven geographical regions of China in 2013 and 2022.
DOI: 10.5281/zenodo.14839562
title: unimpeded: klcdm bao.sdss_dr16+planck_2018_CamSpec_nolens

description: cosmological model:klcdm, dataset:bao.sdss_dr16+planck_2018_CamSpec_nolens
DOI: 10.5281/zenodo.14839563
title: unimpeded: klcdm bao.sdss_dr16+planck_2018_CamSpec_nolens

description: cosmological model:klcdm, dataset:bao.sdss_dr16+planck_2018_CamSpec_nolens
DOI: 10.17866/rd.salford.13221965
title: Presentation for the Performance and Death Symposium, co-produced by Sick Festival and The New Adelphi Theatre University of Salford

description: Presentation for the Performance and Death Symposium, co-produced by Sick Festival and The New Adelphi Theatre University of Salford
DOI: 10.17866/rd.salford.13221965.v1
title: Presentation for the Performance and Death Symposium, co-produced by Sick Festival and The New Adelphi Theatre University of Salford

description: Presentation for the Performance and Death Symposium, co-produced by Sick Festival and The New Adelphi Theatre University of Salford
DOI: 10.5281/zenodo.14839546
title: unimpeded: klcdm bicep_keck_2018+sn.pantheon

description: cosmological model:klcdm, dataset:bicep_keck_2018+sn.pantheon
DOI: 10.5281/zenodo.14839547
title: unimpeded: klcdm bicep_keck_2018+sn.pantheon

description: cosmological model:klcdm, dataset:bicep_keck_2018+sn.pantheon