cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/ela-p6h-lg0
title: †Palorbitolina lenticularis (Blumenbach, 1805)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/50a-yyv-rcc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jac-w3s-m25
title: †Plectorecurvoides alternans Noth, 1952

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.656st4
title: Occurrence Download

description: A dataset containing 816 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Parkia multijuga Benth.)"
 ]
}

 The dataset includes 816 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002466-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55znz5
title: Occurrence Download

description: A dataset containing 1679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is CC-BY-NC 4.0",
 "TaxonKey is Charadrius asiaticus Pallas, 1773"
 ]
}

 The dataset includes 1679 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002467-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3nngpv
title: Occurrence Download

description: A dataset containing 1058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (France, Germany, Belgium, Spain)",
 "License is CC-BY-NC 4.0",
 "TaxonKey is Charadrius morinellus Linnaeus, 1758"
 ]
}

 The dataset includes 1058 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002469-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hbhq2
title: Occurrence Download

description: A dataset containing 1125 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Hymenaea parvifolia Huber)"
 ]
}

 The dataset includes 1125 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002470-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10840258
title: Investigation of Oil Well Blowouts Triggered by Wastewater Injection in the Permian Basin, USA.

description: This dataset is a part of research work titled: "Investigation of Oil Well Blowouts Triggered by Wastewater Injection in the Permian Basin, USA."

Authors: Vamshi Karanam, Zhong Lu, Jin-Woo Kim, Roger P Denlinger

The folder contains five datasets. They are explained in detail below.

1. Deformation rate mapfilename: deformation_rate.geojsonThe data can be accessed using QGIS, ArcGIS or other GIS softwareThe attribute table contains:field_0: point numberfield_1:Codefield_2:heightfield_3: height standard deviationfield_4:deformation rate (mm/yr)field_5:standard deviation of deformation ratefield_6: Coherencefield_7: effective area

2. Monthly njection volumesfilename: injection_volumes.geojsonThe data can be accessed using QGIS, ArcGIS or other GIS softwareThe attributes table contains:field_0: API Numberfield_1 to field_150: Monthly injection volumes from 20100101 to 20220601 (m^3)field_151: Longitudefield_152 : Latitude

3. Depth to the top of formationsfilename: main_formations_new.geojsonThe data can be accessed using QGIS, ArcGIS or other GIS softwareThe attribute table contains:field_0: API Numberfield_1 to field_12: Depth to top of different formations (m)field_13: True depth of the well (m)field_14: Latitudefield_15: Longitude

4. Blowout Modeling resultsThis dataset contains six files as follows:i. blowout_bestfit_alpha.mat: best fit parameters for the Modeling of sill alpha. ii. blowout_bestfit_alpha_summary.mat: summary of the best fit parameters for the Modeling of sill alphaiii. blowout_bestfit_beta.mat: best fit parameters for the Modeling of sill betaiv. blowout_bestfit_beta_summary.mat: summary of the best fit parameters for the Modeling of sill betav. blowout_bestfit_results.csv: Best fit results of the penny crack modeling. The csv file contains five columns: Longitude, Latitude, Observed deformation, Modeled deformation and Residualvi. blowout_input_data.mat: Input data for the modeling of blowout. The mat file contains five files. InSAR Phase (Phase), Incidence angle (Inc), Heading angle (Heading), Longitude (Lon), Latitude (Lat)

5. Cumulative uplift Modeling resultsThis dataset contains six files as follows:i. uplift_bestfit_alpha.mat: best fit parameters for the Modeling of sill alpha. ii. uplift_bestfit_alpha_summary.mat: summary of the best fit parameters for the Modeling of sill alphaiii. uplift_bestfit_beta.mat: best fit parameters for the Modeling of sill betaiv. uplift_bestfit_beta_summary.mat: summary of the best fit parameters for the Modeling of sill betav. uplift_bestfit_results.csv: Best fit results of the penny crack modeling. The csv file contains five columns: Longitude, Latitude, Observed deformation, Modeled deformation and Residualvi. uplift_input_data.mat: Input data for the modeling of cumulative uplift. The mat file contains five files. InSAR Phase (Phase), Incidence angle (Inc), Heading angle (Heading), Longitude (Lon), Latitude (Lat)
DOI: 10.5281/zenodo.10070150
title: All the data produced during Leone Costi's research on remote palpation

description: This dataset contains all the data created while researching the topic of remote palpation.
This contains the data used in the following papers:
'Comparative Analysis of Model-Based Predictive Shared Control for Delayed Operation in Object Reaching and Recognition Tasks With Tactile Sensing'
'Soft Morphing Interface for Tactile Feedback in Remote Palpation'
'Magneto-Active Elastomer Filter for Tactile Sensing Augmentation Through Online Adaptive Stiffening'
'Soft Control Interface for Highly Dexterous Unilateral Remote Palpation'
'Comparative Study of Hand-Tracking and Traditional Control Interfaces for Remote Palpation'
'How the Environment Shapes Tactile Sensing: Understanding the Relationship Between Tactile Filters and Surrounding Environment'
'Barometric Soft Tactile Sensor for Depth Independent Contact Localization'
and the pre-print:
'Multi-silicone Bilateral Soft Physical Twin as an Alternative to Traditional User Interfaces for Remote Palpation: a Comparative Study'
DOI: 10.5281/zenodo.10212147
title: Data used in '3D Printable Self-Sensing Magnetorheological Elastomer'

description: This dataset contains the data used in the publication '3D Printable Self-Sensing Magnetorheological Elastomer'
DOI: 10.15468/dl.8peg9x
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "OccurrenceStatus is Present",
 "TaxonKey is Orthosiphon aristatus (Blume) Miq."
 ]
}

 The dataset includes 83 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002473-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d893r3
title: Occurrence Download

description: A dataset containing 4793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is CC-BY-NC 4.0",
 "TaxonKey is Bartramia longicauda (Bechstein, 1812)"
 ]
}

 The dataset includes 4793 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002472-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13020/9qjh-8x11
title: Genomes to Fields Initiative Flight Data - Missouri C5A 2020

description: This dataset (DRUM 4 of 8) is a subset of the flight data collected through the Genomes to Fields Initiative in 2020 and 2021. In conjunction with equivalent datasets on similar material at alternate locations, this data provides a valuable resource for evaluating the performance and stability of hybrid maize across many environments. Many flights throughout the growing season were conducted at these locations (Delaware, Minnesota, Missouri, Nebraska, and Texas) and this dataset includes the orthomosaics, digital elevation models, plot shapefiles, and extracted plant height values for each of those flights following the pipeline from Anderson, Steven L., II, Seth C. Murray, Lonesome Malambo, Colby Ratcliff, Sorin Popescu, Dale Cope, Anjin Chang, Jinha Jung, and J. Alex Thomasson. 2019. “Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems.” The Plant Phenome Journal 2 (1): 1–15.. This maize experiment consisted of over 1000 maize hybrids grown in partial replication across 8 environments in 2 years. A set of common hybrids were grown in every location in order to establish a connection between environments, Within the partially replicated set, hybrids were produced by the cross of double haploids derived from the WI-SS-MAGIC population to the inbred testers PHK76, PHP02, and PHZ51 with the tester choice depending on the relative maturity zone of the location. For this location (Missouri 2020) all testers were used. A modified randomized complete block design was used for testing.
description: MO_PHTs_2020_merged.csv contains all extracted height values at various percentiles. YYYYMMDD-G2F-Missouri-C5A-RGB-Orthos_LZW.tif is a compressed orthomosaic file for each flight. YYYYMMDD-G2F-Missouri-C5A-RGB-DEMs.zip is a zip folder containing all DEM files for an individual flight date. Plot_Shapefiles.zip is a zip folder containing all plot shapefiles for all flights at a location. Extracted_Values.zip is a zip folder containing all extracted value flights for each flight individually within a location.
DOI: 10.17632/yw4r8r9c6b.1
title: Cross-cultural adaptation and psychometric validation of CTSR Scale

description: Raw data for psychometric validation of Continuous Traumatic Stress Response Scale
DOI: 10.6084/m9.figshare.25264781
title: Influence of bio-deposited recycled aggregate on the concrete properties

description: Recycling construction wastes for their utilisation as aggregates will overcome the dumping and scarcity problems. However, their higher porosity affects the properties of concrete. Hence, this study examines the potential use of microbial-induced calcium carbonate precipitation techniques to improve the quality of recycled coarse aggregates (RCA). The natural coarse aggregate (NCA) was replaced with 50, 100% of RCA and bio-deposited recycled coarse aggregate (BRCA). The aggregate properties were tested and observed that the water absorption and crushing index of RCA were increased by 85.10% and 19.10%, whereas for BRCA, the water absorption and crushing index were increased by only 5.20% and 5.80%. The concrete mixture prepared with optimised and complete percentages of RCA and BRCA was tested for their fresh, hardened, and durable properties. It is observed that the strength of the RAC was 36% lesser than NAC, whereas the strength of the BRAC was 33.40% more compared to the RAC at 28 days. Also, the water absorption and sorptivity of BRAC were reduced by 33.68% and 15.50% and the resistance to carbonation and chloride ingression of BRAC was enhanced by 15.50% and 29.73% when compared to RAC. The microstructural investigations performed through SEM and XRD evident the CaCO<sub>3</sub> precipitation that improves the quality of RCA.
DOI: 10.6084/m9.figshare.25264781.v1
title: Influence of bio-deposited recycled aggregate on the concrete properties

description: Recycling construction wastes for their utilisation as aggregates will overcome the dumping and scarcity problems. However, their higher porosity affects the properties of concrete. Hence, this study examines the potential use of microbial-induced calcium carbonate precipitation techniques to improve the quality of recycled coarse aggregates (RCA). The natural coarse aggregate (NCA) was replaced with 50, 100% of RCA and bio-deposited recycled coarse aggregate (BRCA). The aggregate properties were tested and observed that the water absorption and crushing index of RCA were increased by 85.10% and 19.10%, whereas for BRCA, the water absorption and crushing index were increased by only 5.20% and 5.80%. The concrete mixture prepared with optimised and complete percentages of RCA and BRCA was tested for their fresh, hardened, and durable properties. It is observed that the strength of the RAC was 36% lesser than NAC, whereas the strength of the BRAC was 33.40% more compared to the RAC at 28 days. Also, the water absorption and sorptivity of BRAC were reduced by 33.68% and 15.50% and the resistance to carbonation and chloride ingression of BRAC was enhanced by 15.50% and 29.73% when compared to RAC. The microstructural investigations performed through SEM and XRD evident the CaCO<sub>3</sub> precipitation that improves the quality of RCA.
DOI: 10.15468/dl.yq852d
title: Occurrence Download

description: A dataset containing 32108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "StateProvince is CHihuahua",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 32108 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002475-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kg2urd
title: Occurrence Download

description: A dataset containing 5553 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Dialium guianense (Aubl.) Sandwith, Dialium divaricatum (Willd.) Vahl)"
 ]
}

 The dataset includes 5553 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002474-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4xkev
title: Occurrence Download

description: A dataset containing 5792 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "License is CC-BY-NC 4.0",
 "TaxonKey is Xenus cinereus (Güldenstädt, 1775)"
 ]
}

 The dataset includes 5792 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002476-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxewuv
title: Occurrence Download

description: A dataset containing 5179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is France",
 "License is CC-BY-NC 4.0",
 "TaxonKey is Arenaria interpres (Linnaeus, 1758)"
 ]
}

 The dataset includes 5179 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002477-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24798594.v1
title: code.zip

description: Seung Bae Jeon code
DOI: 10.17632/jzzcsrfdwt.2
title: The Influence of Adjustment, Mental Health, Motivation on Learning Strategies: A Spotlight on Graduate Students During COVID-19 Global Pandemic

description: An anonymous Qualtrics survey was administered, which included a demographic questionnaire, College Adjustment Test (CAT), Depression, Anxiety, and Stress Scale (DASS-21), and selected subscales from the Motivated Strategies for Learning Questionnaire (MSLQ). A total of 301 graduate students at a large southeastern university in the United States completed the survey. Data were analyzed using the Structural Equation Model.
DOI: 10.15468/dl.nsmfbv
title: Occurrence Download

description: A dataset containing 630445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Month is June",
 "Year 2000-2024"
 ]
}

 The dataset includes 630445 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002459-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jzzcsrfdwt.1
title: The Influence of Adjustment, Mental Health, Motivation on Learning Strategies: A Spotlight on Graduate Students During COVID-19 Global Pandemic

description: An anonymous Qualtrics survey was administered, which included a demographic questionnaire, College Adjustment Test (CAT), Depression, Anxiety, and Stress Scale (DASS-21), and selected subscales from the Motivated Strategies for Learning Questionnaire (MSLQ). A total of 301 graduate students at a large southeastern university in the United States completed the survey. Data were analyzed using the Structural Equation Model.
DOI: 10.15468/dl.qma46k
title: Occurrence Download

description: A dataset containing 593262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "StateProvince is CHihuahua"
 ]
}

 The dataset includes 593262 records from 753 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002451-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1386375.10fu
title: SH1386375.10FU

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/sh1386377.10fu
title: SH1386377.10FU

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/sh1386378.10fu
title: SH1386378.10FU

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/sh1386379.10fu
title: SH1386379.10FU

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/sh1386380.10fu
title: SH1386380.10FU

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.