cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0156715.10fu
title: SH0156715.10FU

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/sh0156716.10fu
title: SH0156716.10FU

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/sh0156717.10fu
title: SH0156717.10FU

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/sh0156718.10fu
title: SH0156718.10FU

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/sh0156719.10fu
title: SH0156719.10FU

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.859893
title: Swath sonar bathymetry during POLARSTERN cruise ARK-XXVII/2 with links to multibeam raw data files

description: Contact mailto:infobathy@awi.de for data access.
DOI: 10.1594/pangaea.974749
title: 100km-scale isotopic (d18O, dD) variability of the top-meter between B31 and Kohnen, Dronning Maud Land (R samples)

description: Isotopic composition of the top-meter of the snowpack along a 115km traverse between B31 and D50, near Kohnen station, Dronning-Maud Land, East-Antarctica. Site D2 refers to the firn core drilling site B31. At each sampling site, profiles were sampled at 10 m distance in 90 m long trenches:_R samples using the dual-tube sampling technique (Dallmayr et al., 2020), 3 subsections of the top-1m were sampled and at sites C4, C5, D2, D7, D24, D38, the top-1m of the trenches were sampled with the dual-tube and 5 single liners were taken and subsampled to 1 - 3 cm resolution (Hirsch, Nora; Hörhold, Maria; Dallmayr, Remi; Laepple, Thomas; Freitag, Johannes; Meyer, Hanno; Weiner, Mikaela (2023): Stable water isotopologues of arrays of high resolution 1 m snow cores from across Dronning Maud Land, East Antarctic Plateau [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.956273)_M samples: Mixed 4 subsections of the top-1.2m of the 90m long trenches excavated by Pistenbully. All isotopic analysis were realized by CRDS (Cavity-Ring-Down Spectroscopy) measurements at the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar-und Meeresforschung in Bremerhaven (instrument models L-2120-i, L-2140-i, Picarro Inc.). The samples were shipped frozen to the Alfred-Wegener-Institut and stored at -25°C. Prior to measurements the samples were melted in the sample bags at room temperature. The measurement set-up followed the Van-Geldern Protocol. Each sample was injected four times and the standard deviation is computed.
DOI: 10.1594/pangaea.974778
title: 100km-scale isotopic (d18O, dD) variability of the top-meter between B31 and Kohnen, Dronning Maud Land (M samples)

description: Isotopic composition of the top-meter of the snowpack along a 115km traverse between B31 and D50, near Kohnen station, Dronning-Maud Land, East-Antarctica. Site D2 refers to the firn core drilling site B31. At each sampling site, profiles were sampled at 10 m distance in 90 m long trenches:_R samples using the dual-tube sampling technique (Dallmayr et al., 2020), 3 subsections of the top-1m were sampled and at sites C4, C5, D2, D7, D24, D38, the top-1m of the trenches were sampled with the dual-tube and 5 single liners were taken and subsampled to 1 - 3 cm resolution (Hirsch, Nora; Hörhold, Maria; Dallmayr, Remi; Laepple, Thomas; Freitag, Johannes; Meyer, Hanno; Weiner, Mikaela (2023): Stable water isotopologues of arrays of high resolution 1 m snow cores from across Dronning Maud Land, East Antarctic Plateau [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.956273)_M samples: Mixed 4 subsections of the top-1.2m of the 90m long trenches excavated by Pistenbully. All isotopic analysis were realized by CRDS (Cavity-Ring-Down Spectroscopy) measurements at the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar-und Meeresforschung in Bremerhaven (instrument models L-2120-i, L-2140-i, Picarro Inc.). The samples were shipped frozen to the Alfred-Wegener-Institut and stored at -25°C. Prior to measurements the samples were melted in the sample bags at room temperature. The measurement set-up followed the Van-Geldern Protocol. Each sample was injected four times and the standard deviation is computed.
DOI: 10.1594/pangaea.936681
title: 100km-scale isotopic (δ18O, δD) variability of the top-meter between B31 and Kohnen, Droning Maud Land

description: 100km-scale isotopic (d18O, dD) variability of the top-meter between B31 and Kohnen, Droning Maud Land. Isotopic composition of the top-meter of the snowpack along a 115km traverse between B31 and D48, near Kohnen station, Droning-Maud Land, East-Antarctica. Site D2 refers to the firn core drilling site B31. At each sampling site, 90m long trenches were sampled: 1/ Using the dual-tube sampling technique (Dallmayr et al., 2020), 3 subsections of the top-1m were sampled, each at a relative distance. 2/ Mixed 4 subsections of the top-1.2m of the 90m long trenches excavated by Pistenbully. 3/ At sites D2, D7, D24, D38, the top-1m of the trenches were sampled. Mean values of the first 50 meters (analyzed at AWI-Postdam), and further subsections sampled at relative distances (missing samples at sites D7 and D24). All isotopic analysis were realized by CRDS (Cavity-Ring-Down Spectroscopy, L-2120-i, L-2140-i, Picarro Inc.) at the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar-und Meeresforschung in Bremerhaven and vy CRDS- L-2130-i in Potsdam, Germany.
description: A newer version is available here, please see the "Replaced by" Reference.
DOI: 10.1594/pangaea.976825
title: Processed water-column current velocity and acoustic reflectivity data from a mining trial at the Belgian (GSR) contract area in the Clarion Clipperton Zone during the MANGAN 2021 expedition

description: The data were acquired with 13 ADCP sensors mounted on 12 seafloor platforms at successive distances (50 m to 1800 m) from the collector impact site in the Belgian (GSR) contract area in the Clarion Clipperton Zone (CCZ). The sensors used are Teledyne RDI Workhorse Sentinel ADCP at 300kHz, Teledyne RDI Workhorse Sentinel ADCP at 1.2 MHz and Nortek ADCP at 2 MHz. The data processing is described in Gazis et al. 2025. The data format is compatible with Digital Earth Viewer (https://digitalearthviewer-glodap.geomar.de/ )
DOI: 10.15468/dl.ekkran
title: Occurrence Download

description: A dataset containing 1995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Greenwayodendron suaveolens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1995 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014464-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18497938
title: Coilsets and Scripts from Augmented Lagrangian Methods for Stellarator Coils

description: The zip file from this repository contains all the data and scripts from the paper 'Efficient Computation of Stellarator Coils with an Augmented LagrangianOptimization Method', currently available in https://arxiv.org/abs/2507.12681. At the present time, in order to be able run the scripts it is necessary to import simsopt and clone the repository present in https://github.com/PedroFranciscoGil/simsopt/tree/auglag_coils.
DOI: 10.5281/zenodo.18497939
title: Coilsets and Scripts from Augmented Lagrangian Methods for Stellarator Coils

description: The zip file from this repository contains all the data and scripts from the paper 'Efficient Computation of Stellarator Coils with an Augmented LagrangianOptimization Method', currently available in https://arxiv.org/abs/2507.12681. At the present time, in order to be able run the scripts it is necessary to import simsopt and clone the repository present in https://github.com/PedroFranciscoGil/simsopt/tree/auglag_coils.
DOI: 10.5281/zenodo.18248651
title: Supporting information for "Global and regional Pleistocene benthic δ18O stacks on age models with and without astronomical tuning"

description: Constructing accurate age models for Pleistocene marine sediments is crucial for our understanding of glacial-interglacial cycles and other climatic processes. Benthic foraminiferal δ18O stacks, a proxy for ice sheet and climate evolution, are often used for stratigraphic alignment and chronology development in deep-sea sedimentary records, in combination with biostratigraphy, paleomagnetism, and radioisotopic constraints. Selection of an appropriate benthic δ18O alignment target influences the derived chronology at a given site, and divergent regional trends in benthic δ18O highlight the need for ocean-specific benthic δ18O stacks. The specific scientific question to be addressed by a study may also influence whether the alignment target should include astronomical tuning. Here, we introduce three benthic δ18O stacks – Atlantic, Pacific, and global – with three distinct chronologies for the global stack that incorporate astronomical forcing constraints to various degrees. The new global stack utilizes data from 224 cores and includes 50% more data than the previous “ProbStack” (Ahn et al., 2017). Hand-tuned regional and global stacks, intended as updates to the “LR04” stack (Lisiecki and Raymo, 2005), incorporate chronologies transferred from absolutely dated archives during 0-654 thousand years ago (ka) and an astronomically forced ice sheet model during 654-2700 ka. Due to the heterogeneous nature of the age constraints used for these stacks, we call them BIGSTACKmixed, BIGSTACKmixedA, and BIGSTACKmixedP. For applications where astronomical tuning should be minimized, we present a global stack primarily constrained by geomagnetic reversal age estimates, BIGSTACKmagrev. We also develop a third age model, BIGSTACKauto, which uses an automated optimization algorithm to “minimally tune” the stack to the pervasive ~41 kyr obliquity cycle, while avoiding assumptions about astronomical phase relationships. This suite of stacks offers flexibility in choosing δ18O stratigraphic alignment targets, to allow a wide range of applications in paleoceanographic hypothesis testing.
DOI: 10.15468/dl.7b382q
title: Occurrence Download

description: A dataset containing 579422 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Forestry Inventory 2015"
 ]
}

 The dataset includes 579422 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014434-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-yj8p-hs62
title: Earthquake Infrastructure Damage (EID) Assessment Dataset for Social Media Images, in Enhancing the Fidelity of Social Media Image Datasets in Earthquake Disaster Assessment

description: This project introduces a novel 4-class Earthquake Infrastructure Damage (EID) assessment dataset compiled from a combination of images from several other social media image databases but with added emphasis on data quality. Unlike the previous datasets such as DAD and Crisis-Benchmark, the EID includes comprehensive labeling guidelines and a multi-class classification system aligned with established damage scales, such as HAZUS and EMS-98 to enhance the accuracy and utility of social media imagery for disaster response. By integrating detailed descriptions and clear labeling criteria, the labeling approach of EID reduces the subjective nature of image labeling and the inconsistencies found in existing datasets. The findings demonstrate a significant improvement in annotator agreement, reducing disagreement from 39.7% to 10.4%, thereby validating the efficacy of the refined labeling strategy. The EID, containing 13,513 high-quality images from five significant earthquakes, is designed to support community-level assessments and advanced computational research, paving the way for enhanced disaster response strategies through improved data utilization and analysis.
description: The development of artificial intelligence (AI) provides an opportunity for rapid and accurate assessment of earthquake-induced infrastructure damage using social media images. Nevertheless, data collection and labeling remain challenging due to limited expertise among annotators. This study introduces a novel 4-class Earthquake Infrastructure Damage (EID) assessment dataset compiled from a combination of images from several other social media image databases but with added emphasis on data quality. Unlike the previous datasets such as DAD and Crisis-Benchmark, the EID includes comprehensive labeling guidelines and a multi-class classification system aligned with established damage scales, such as HAZUS and EMS-98 to enhance the accuracy and utility of social media imagery for disaster response. The EID, containing 13,513 high-quality images from five significant earthquakes, is designed to support community-level assessments and advanced computational research, paving the way for enhanced disaster response strategies through improved data utilization and analysis. Please cite our paper if the dataset is useful for your research: Huang H, Zhang D, Masalava A, Roozbahani MM, Roy N, Frost JD. Enhancing the fidelity of social media image data sets in earthquake damage assessment. Earthquake Spectra. 2025;41(3):2616-2650. doi:10.1177/87552930251335649
DOI: 10.15468/dl.xxueem
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material citation, Material sample, Specimen)",
 "Geometry POLYGON((-70 -55.4,-66.4 -55.4,-66.4 -54.8,-70 -54.8,-70 -55.4))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Brachiopoda"
 ]
}

 The dataset's 4 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014435-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abhcu8
title: Occurrence Download

description: A dataset containing 575481 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Forestry Inventory 2010"
 ]
}

 The dataset includes 575481 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014431-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00012499.0
title: Available datapackage for study 'Reopening Schools Safely and Educating Youth Research Study'

description: The study has three aims and involves a clustered randomized controlled trial (RCT) where K-5 schools will be the unit of randomization. Aim 1 involves a qualitative assessment of rural Latino community's social, ethical, behavioral needs and resources for students to return to school and maintain onsite learning. Aim 2 includes a clustered RCT in schools. Aim 3 involves qualitative assessment of implementation outcomes of the Yakima School District (YSD) testing program and risk communication intervention with school stakeholders, parents, and children.
DOI: 10.5517/ccdc.csd.cc2pn5k3
title: CCDC 2492045: Experimental Crystal Structure Determination

description: Related Article: Russel Goldberg, Kevin J. A. Bozek, Vance E. Williams|2025|CSD Communication|||
description: Related Article: Russel  Goldberg, Kevin  Nickel, Kevin Bozek, John R Thompson, Vance Williams|2026|Can.J.Chem.|||doi:10.1139/cjc-2025-0230
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17605/osf.io/utf47
title: Self-licensing in online buying-shopping: The roles of conflict, resistance, and guilt

description: Individuals often rationalize tempting behaviors through self-licensing, justifying indulgence based on perceived deservingness or future compensation. This process is particularly prevalent in hedonic consumption behaviors like buying-shopping, where financial implications intensify self-regulatory conflicts. 

The present project examines three phenomena alongside self-regulatory conflict - conflict with other goals or activities, resistance against desire, and anticipated guilt - and how each uniquely interacts with self-licensing processes. When linked to goal-conflict, self-licensing may represent an intentional cognitive strategy to resolve goal discrepancies by actively deprioritizing competing long-term aims. When associated with resistance, self-licensing may act as a release mechanism, temporarily suspending inhibitory control and allowing suppressed desires to surface. In contrast, when tied to guilt, self-licensing may serve as an emotion-regulation strategy, mitigating anticipated shame or self-reproach following indulgence. 

This registration takes place after data collection and primarily aims to enable the upload of associated materials and data.
DOI: 10.15468/dl.bree23
title: Occurrence Download

description: A dataset containing 2139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cladium mariscus, Cladium mariscus, Cladium mariscus, Cladium germanicum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 2139 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014466-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18498109
title: METHODS USED IN STUDYING THE HISTORY OF RELIGIONS IN "АL-MILАL WА'N-NIHАL"

description: This three-part article discusses the life of Аbulfath Shahristani, who founded his school in the study of the history of religions, and the methods he used in the study of world religions in his book Аl-Milal wa-n-nihal. The first part of the article gives information about the importance of the work, the second part about the methods used by Shahristani in the study of religions, and the third part about the typological and geographical methods.

 





Keywords