cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0159362.10fu
title: SH0159362.10FU

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/sh0159363.10fu
title: SH0159363.10FU

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/sh0159364.10fu
title: SH0159364.10FU

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: 10.5281/zenodo.15804057
title: Removal of fillers and chemical reagents from waste paper for its sustainable use
DOI: 10.15468/dl.88g8b6
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rangia cuneata",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021106-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ggmxc
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gleditsia triacanthos",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 366 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021107-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pczzc7
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tagetes minuta",
 "Country is Pakistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021110-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6j9gm
title: Occurrence Download

description: A dataset containing 2398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis catus",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2398 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021108-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7hxng
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Enosis"
 ]
}

 The dataset includes 269 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021109-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7vb89k93jn.1
title: CHINTEXDB-PERU28

description: The dataset contains 1,358 annotated images of Chinchero textiles with 28 classes of cultural motifs. Each image includes YOLO-format labels identifying traditional patterns, enabling machine learning applications in cultural heritage preservation and computer vision analysis.
DOI: 10.17632/yfb7trc2c8
title: Understanding Map Reading Strategies through Prior Knowledge

description: This dataset contains eye-tracking and performance data collected from participants completing 12 different geographic map-reading tasks. The dataset is organized as an Excel file with separate tabs for each task (M01-M12) and an additional summary tab ("Accuracy of answers") that compiles correctness data across all tasks.

Each task-specific tab includes the following columns:

Participant: Unique identifier for each participant. Participant P17 is a teacher of the students.
Correctness: Indicates whether the answer provided by the participant was correct (1), incorrect (2), no answer (0).
Answer: The specific response given by the participant.
Strategy: Qualitative description of the cognitive or visual strategy employed during the task.
Perception of legend: At least one fixation focused on legend AOI, Yes (1), No (0)
Work with legend: Indicating that they were actively working with the legend AOI, Yes (1), No (null)
Visually preferred area: Region of the map where the participant primarily focused their attention.
DwellTime (%) in pre-defined AOIs: Percentage of total dwell time spent in Areas of Interest (AOIs) defined for each task.
Trial Time [ms]: Total duration of the trial in milliseconds.
Fixation Count: Number of fixations recorded during the task.
Scanpath Length [px]: Total length of the visual scanpath in pixels, indicating the extent of eye movements during the task.

The "Accuracy" tab summarizes each participant’s overall performance across the 12 tasks, providing a quick reference for their accuracy scores.
DOI: 10.17632/yfb7trc2c8.1
title: Understanding Map Reading Strategies through Prior Knowledge

description: This dataset contains eye-tracking and performance data collected from participants completing 12 different geographic map-reading tasks. The dataset is organized as an Excel file with separate tabs for each task (M01-M12) and an additional summary tab ("Accuracy of answers") that compiles correctness data across all tasks.

Each task-specific tab includes the following columns:

Participant: Unique identifier for each participant. Participant P17 is a teacher of the students.
Correctness: Indicates whether the answer provided by the participant was correct (1), incorrect (2), no answer (0).
Answer: The specific response given by the participant.
Strategy: Qualitative description of the cognitive or visual strategy employed during the task.
Perception of legend: At least one fixation focused on legend AOI, Yes (1), No (0)
Work with legend: Indicating that they were actively working with the legend AOI, Yes (1), No (null)
Visually preferred area: Region of the map where the participant primarily focused their attention.
DwellTime (%) in pre-defined AOIs: Percentage of total dwell time spent in Areas of Interest (AOIs) defined for each task.
Trial Time [ms]: Total duration of the trial in milliseconds.
Fixation Count: Number of fixations recorded during the task.
Scanpath Length [px]: Total length of the visual scanpath in pixels, indicating the extent of eye movements during the task.

The "Accuracy" tab summarizes each participant’s overall performance across the 12 tasks, providing a quick reference for their accuracy scores.
DOI: 10.15468/dl.sf2uzw
title: Occurrence Download

description: A dataset containing 2043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tagetes minuta",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2043 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021111-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrh36w
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tagetes minuta",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021112-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.28161
title: Data for evaluation of explanation quality
title: Data for evaluation of explanation quality

description: The data of two groups is used to evaluate the explanation quality of learning feedback from XAI and XAI-LLMs.
description: The data of two groups is used to evaluate the explanation quality of learning feedback from XAI and XAI-LLMs.
DOI: 10.17632/htkkrpc9w5
title: Code in R for 'Several kilometers of global contraction on Mercury: A sample-size independent assessment of fault strain.'

description: "Code for Mercury Contraction in R.txt" contains the code used to calculate the amount Mercury contracted using multiple thrust fault data with the R coding language. This is the methodology used in the paper titled 'Several kilometers of global contraction on Mercury: A sample-size independent assessment of fault strain.' which follows the works of Twiss and Marrett (2010a&b). To use, copy and paste the text in this file into your R command line.
DOI: 10.17632/htkkrpc9w5.1
title: Code in R for 'Several kilometers of global contraction on Mercury: A sample-size independent assessment of fault strain.'

description: "Code for Mercury Contraction in R.txt" contains the code used to calculate the amount Mercury contracted using multiple thrust fault data with the R coding language. This is the methodology used in the paper titled 'Several kilometers of global contraction on Mercury: A sample-size independent assessment of fault strain.' which follows the works of Twiss and Marrett (2010a&b). To use, copy and paste the text in this file into your R command line.
DOI: 10.15468/dl.42epaw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lophognathus gilberti)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021114-250717081556266/datasets/export for details.
DOI: 10.57760/sciencedb.19468
title: Hb Molecular Dynamics
title: Hb Molecular Dynamics

description: Included within this repository are all protein models (.pdb) used for molecular dynamics studies of methemoglobin from different agriculturally relevant species (i.e. trout and cattle). Also included are all simulation trajectory (.xtc) files for all replicates. Models and their corresponding trajectory files can be visualized in common molecular visualization software (e.g. PyMol, Chimera). Each folder is named according to its contents. Within each folder is the model and trajectory files of all simulation replicates performed. The corresponding article has been submitted to the ACS Journal of Agriculture and Food Chemistry.All models were generated from previously published crystal structures in CHARMM GUI, and output files were generated suing GROMACS molecular dynamics software. Each replicate was trajectory was produced using random velocity generation.File size:Models files (.pdb) = ~8 MBTrajectory files (.xtc) = 200-500 MB
description: Included within this repository are all protein models (.pdb) used for molecular dynamics studies of methemoglobin from different agriculturally relevant species (i.e. trout and cattle). Also included are all simulation trajectory (.xtc) files for all replicates. Models and their corresponding trajectory files can be visualized in common molecular visualization software (e.g. PyMol, Chimera). Each folder is named according to its contents. Within each folder is the model and trajectory files of all simulation replicates performed. The corresponding article has been submitted to the ACS Journal of Agriculture and Food Chemistry.All models were generated from previously published crystal structures in CHARMM GUI, and output files were generated suing GROMACS molecular dynamics software. Each replicate was trajectory was produced using random velocity generation.File size:Models files (.pdb) = ~8 MBTrajectory files (.xtc) = 200-500 MB
DOI: 10.15468/dl.cpu4qc
title: Occurrence Download

description: A dataset containing 2395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lophognathus gilberti)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 2395 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021115-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48320/688febff-91d0-4b72-a1a9-6ba221a85692
title: Covid-19 Knowledge, Attitudes, and Practices Monitor 2020
DOI: 10.57760/sciencedb.28175
title: Secondary strengthening phenomenon and δ phase precipitation behavior of wire arc additive manufactured Inconel 718 alloy by room temperature tension
title: Secondary strengthening phenomenon and δ phase precipitation behavior of wire arc additive manufactured Inconel 718 alloy by room temperature tension

description: The room tensile strength of Inconel 718 alloy, fabricated by wire arc additive manufacturing, exhibited an obvious "M"-shaped trend (i.e. secondary strengthening) with increasing solution time within 890 - 980 ℃, and two strength peak positions showed obvious backward trend with the increasing solution temperature. The experimental results indicated that first strength peak obtains some fine granular δ phases at grain boundaries, but would not affect the volume fraction ratio of γ'' strengthening phases. However, when solution time is extended to second strength peak, the volume fraction of γ'' strengthening phases decreases slightly but its average particle size is invariant, accompanied by a notable increase in the number of fine granular δ phases at grain boundaries. Based on the fracture model established for δ phase, it is demonstrated that the multiple fractures of slender needle-shaped δ phase is the main reason for the obvious rise in the number of fine granular δ phases at grain boundaries of the second strength peak. Relative to MC carbide fracture, TEM results finally demonstrate that multiple fractures of δ phase introduce more fine granular δ phases, but this fracture behavior cannot cause for IN718's failure because of its lower lattice mismatch.
description: The room tensile strength of Inconel 718 alloy, fabricated by wire arc additive manufacturing, exhibited an obvious "M"-shaped trend (i.e. secondary strengthening) with increasing solution time within 890 - 980 ℃, and two strength peak positions showed obvious backward trend with the increasing solution temperature. The experimental results indicated that first strength peak obtains some fine granular δ phases at grain boundaries, but would not affect the volume fraction ratio of γ'' strengthening phases. However, when solution time is extended to second strength peak, the volume fraction of γ'' strengthening phases decreases slightly but its average particle size is invariant, accompanied by a notable increase in the number of fine granular δ phases at grain boundaries. Based on the fracture model established for δ phase, it is demonstrated that the multiple fractures of slender needle-shaped δ phase is the main reason for the obvious rise in the number of fine granular δ phases at grain boundaries of the second strength peak. Relative to MC carbide fracture, TEM results finally demonstrate that multiple fractures of δ phase introduce more fine granular δ phases, but this fracture behavior cannot cause for IN718's failure because of its lower lattice mismatch.
DOI: 10.57760/sciencedb.28188
title: NMR, Raman, XRD, and ICP Datasets
title: NMR, Raman, XRD, and ICP Datasets

description: This dataset includes Raman and ICP results of the glass samples, XRD data of both the glasses and the synthesized crystal, and NMR results related to ³¹P, ⁴⁵Sc, and ³⁹K nuclei.
description: This dataset includes Raman and ICP results of the glass samples, XRD data of both the glasses and the synthesized crystal, and NMR results related to ³¹P, ⁴⁵Sc, and ³⁹K nuclei.
DOI: 10.15468/dl.7y2wyb
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021113-250717081556266/datasets/export for details.
DOI: 10.17632/5cm68f2xwf.1
title: Consumers' preferences and willingness to pay for sustainable milk in Zimbabwe
DOI: 10.5281/zenodo.16262264
title: Covid-19 Knowledge, Attitudes, and Practices Monitor 2020

description: The Covid 19 outbreak has shook the world, and Georgia too has experienced wide ranging challenges as a result. From efforts to contain the spread of the virus to policy aimed at dampening the economic pain of the virus, policy makers have been presented with numerous decisions. In support of informing these efforts, CRRC Georgia conducted six surveys between late April and early June, with the support of the Embassy of the Kingdom of the Netherlands in Tbilisi. The results were presented on a weekly basis to stakeholders in the Government of Georgia, international organizations, diplomats, and NGOs working on the crisis.

Population: Adult population (18 years old and over), excluding the populations living in territories affected by military conflict (South Ossetia and Abkhazia). Besides nationwide, data is representative of Tbilisi, urban, and rural areas of Georgia.

Sample Design: Simple random sample of cell phone owners.

Survey mode: Computer-assisted telephone interview (CATI).

Date: late April and early June 2020

Interview languages: Georgian, Armenian, Azerbaijani, and Russian.
description: Published on Discuss Data, https://discuss-data.net/dataset/688febff-91d0-4b72-a1a9-6ba221a85692/
description: Method(s) of data collection: Quantitative Survey
DOI: 10.5281/zenodo.16262265
title: Covid-19 Knowledge, Attitudes, and Practices Monitor 2020

description: The Covid 19 outbreak has shook the world, and Georgia too has experienced wide ranging challenges as a result. From efforts to contain the spread of the virus to policy aimed at dampening the economic pain of the virus, policy makers have been presented with numerous decisions. In support of informing these efforts, CRRC Georgia conducted six surveys between late April and early June, with the support of the Embassy of the Kingdom of the Netherlands in Tbilisi. The results were presented on a weekly basis to stakeholders in the Government of Georgia, international organizations, diplomats, and NGOs working on the crisis.

Population: Adult population (18 years old and over), excluding the populations living in territories affected by military conflict (South Ossetia and Abkhazia). Besides nationwide, data is representative of Tbilisi, urban, and rural areas of Georgia.

Sample Design: Simple random sample of cell phone owners.

Survey mode: Computer-assisted telephone interview (CATI).

Date: late April and early June 2020

Interview languages: Georgian, Armenian, Azerbaijani, and Russian.
description: Published on Discuss Data, https://discuss-data.net/dataset/688febff-91d0-4b72-a1a9-6ba221a85692/
description: Method(s) of data collection: Quantitative Survey
DOI: 10.17632/k66f2gbgb4.1
title: MonolayerFFF

description: The MonolayerFFF dataset is comprised of 776 surface images that have been obtained from monolayer parts manufactured in the Fused Filament Fabrication (FFF) process under one of three classes (two corresponding to region-specific induced printing defects and one corresponding to normal printing). The complete description of the MonolayerFFF dataset is available on the "MonolayerFFF: An image dataset of monolayer FFF 3D printed parts with different fabrication conditions" article, current under revision.