cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17074854
title: A Multi-Motivational Approach to Understanding Polarized Discourse

description: Dataset for A Multi-Motivational Approach to Understanding Polarized Discourse

This is the dataset for the published paper "A Multi-Motivational Approach to Understanding Polarized Discourse". The dataset was disclosed per requested by the review commitee and in support of open science.

This dataset is for the review process only. Reuse of the dataset of any research or commerical purpose requires permissions from the original authors.

Additional Information and materials are available on our GitHub repository.https://github.com/research-repo-open/A-Multi-Motivational-Approach-to-Understanding-Polarized-Discourse.gitAbstract. Discourse in politically polarized environments is often shaped by layered, psychologically complex motivations that challenge traditional analytic methods. While Quantitative Ethnography (QE) enables structured coding and visualization of discourse patterns, such tools may implicitly assume that utterances reflect singular, codable constructs. This study combines three techniques to explore the possibility of multiple, codable constructs. They include ENA discourse coding, expert psychological analysis, and Ordered Network Analysis (ONA). Using an AI-generated social media thread designed to simulate politically charged commentary, the analysis models relationships among motivational constructs. Three licensed mental health experts interpreted the same dataset, generating divergent but plausible psychological narratives. These differences illustrate the interpretive ambiguity inherent in discourse and underscore the value of multiple analytical lenses. By integrating ONA, the study offers a novel means of visualizing temporal sequencing and affective escalation. However, ethical caution is warranted when applying motivational modeling to real individuals, particularly public figures. This work contributes to efforts within the QE community to refine tools for analyzing affectively charged discourse.
DOI: 10.5281/zenodo.17074855
title: A Multi-Motivational Approach to Understanding Polarized Discourse

description: Dataset for A Multi-Motivational Approach to Understanding Polarized Discourse

This is the dataset for the published paper "A Multi-Motivational Approach to Understanding Polarized Discourse". The dataset was disclosed per requested by the review commitee and in support of open science.

This dataset is for the review process only. Reuse of the dataset of any research or commerical purpose requires permissions from the original authors.

Additional Information and materials are available on our GitHub repository.https://github.com/research-repo-open/A-Multi-Motivational-Approach-to-Understanding-Polarized-Discourse.gitAbstract. Discourse in politically polarized environments is often shaped by layered, psychologically complex motivations that challenge traditional analytic methods. While Quantitative Ethnography (QE) enables structured coding and visualization of discourse patterns, such tools may implicitly assume that utterances reflect singular, codable constructs. This study combines three techniques to explore the possibility of multiple, codable constructs. They include ENA discourse coding, expert psychological analysis, and Ordered Network Analysis (ONA). Using an AI-generated social media thread designed to simulate politically charged commentary, the analysis models relationships among motivational constructs. Three licensed mental health experts interpreted the same dataset, generating divergent but plausible psychological narratives. These differences illustrate the interpretive ambiguity inherent in discourse and underscore the value of multiple analytical lenses. By integrating ONA, the study offers a novel means of visualizing temporal sequencing and affective escalation. However, ethical caution is warranted when applying motivational modeling to real individuals, particularly public figures. This work contributes to efforts within the QE community to refine tools for analyzing affectively charged discourse.
DOI: 10.15468/dl.6e39s4
title: Occurrence Download

description: A dataset containing 61963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-79.06627085435983 43.095068402252295, -79.06963827467536 43.09596622547593, -79.07318006928384 43.0963652370932, -79.07676003368707 43.09625009115783, -79.08024049231221 43.095625216209676, -79.08348760447393 43.09451464454842, -79.08637652129606 43.09296108583588, -79.08879619335734 43.09102428106339, -79.09065364281702 43.08877870085959, -79.09187753515191 43.08631067748775, -79.09242091345416 43.08371508168366, -79.09226299128878 43.08109167287204, -79.09140993699258 43.07854126362337, -79.0898946214858 43.0761618460276, -79.08777534159192 43.074044828763355, -79.0851335699768 43.072271529034516, -79.08207081965445 43.070910053468694, -79.07870474424395 43.070012686948736, -79.0751646236348 43.06961388879059, -79.07158640747393 43.06972897244331, -79.06810750518004 43.07035351884901, -79.06486152050117 43.0714635457256, -79.06197313066444 43.07301642634984, -79.05955330486235 43.07495252296315, -79.05769504434137 43.077197472747756, -79.05646980710146 43.079665039415914, -79.05592475480006 43.08226042176092, -79.0560809287233 43.08488389285517, -79.05693242668835 43.08743463064629, -79.05844661471227 43.089814593026674, -79.06056536762055 43.09193228837922, -79.06320729297629 43.093706296267236, -79.06627085435983 43.095068402252295))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 61963 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042793-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17079921
title: Chirality-Induced Spin Selectivity: A Minimal Model. Open data set

description: Data supporting Figures 1, 2, 3, 4 of the related publication.
DOI: 10.5281/zenodo.17079920
title: Chirality-Induced Spin Selectivity: A Minimal Model. Open data set

description: Data supporting Figures 1, 2, 3, 4 of the related publication.
DOI: 10.15468/dl.sj7brq
title: Occurrence Download

description: A dataset containing 21214 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capparis spinosa"
 ]
}

 The dataset includes 21214 records from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042845-250827131500795/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.30076309
title: gouteng.chrom_level.fa

description: We used a combination of multiple sequencing platforms to assemble the chromosome-scale genome of UR, including Oxford Nanopore (ONT) long reads, DNBseq short reads, and high-throughput chromosome conformation capture (Hi-C) reads. Based on the UR genome, <b>genome-wide analysis of cytochrome P450 genes were mined to obtain candidates involved in </b><b>the biosynthesis of oxindole alkaloids.</b>
DOI: 10.6084/m9.figshare.30076309.v1
title: gouteng.chrom_level.fa

description: We used a combination of multiple sequencing platforms to assemble the chromosome-scale genome of UR, including Oxford Nanopore (ONT) long reads, DNBseq short reads, and high-throughput chromosome conformation capture (Hi-C) reads. Based on the UR genome, <b>genome-wide analysis of cytochrome P450 genes were mined to obtain candidates involved in </b><b>the biosynthesis of oxindole alkaloids.</b>
DOI: 10.25574/25535
title: Chandra X-ray Observatory ObsId 25535

description: A Systematic Survey of Extreme X-ray Variability of Weak-Line Quasars
DOI: 10.15468/dl.879a3t
title: Occurrence Download

description: A dataset containing 665376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is Field Museum of Natural History (Botany) Seed Plant Collection"
 ]
}

 The dataset includes 665376 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042816-250827131500795/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.30076399
title: Psychological Distress and Health-Related Quality of Life Among Cancer patients receiving Radiotherapy and Chemotherapy

description: Research on Psychological Distress and Health-Related Quality of Life Among Cancer patients receiving Radiotherapy and Chemotherapy
DOI: 10.6084/m9.figshare.30076399.v1
title: Psychological Distress and Health-Related Quality of Life Among Cancer patients receiving Radiotherapy and Chemotherapy

description: Research on Psychological Distress and Health-Related Quality of Life Among Cancer patients receiving Radiotherapy and Chemotherapy
DOI: 10.15468/dl.hq2fbe
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Taraxacum kok-saghyz"
 ]
}

 The dataset includes 137 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042848-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16752398
title: Tree-Based Deep Learning to Ranking Symbolic Integration Algorithms

description: Datasets for the paper "Tree-Based Deep Learning to Ranking Symbolic Integration Algorithms". This is the preprocessed data that can be read by train.py and inference.py
DOI: 10.5281/zenodo.16754656
title: Tree-Based Deep Learning to Ranking Symbolic Integration Algorithms

description: Datasets for the paper "Tree-Based Deep Learning to Ranking Symbolic Integration Algorithms". This is the preprocessed data that can be read by train.py and inference.py
DOI: 10.48597/p2us-tys2
title: Measurement of Aerosol_absorption_coefficient at Payerne

description: Measurement of Aerosol_absorption_coefficient at Payerne
DOI: 10.48597/yxmr-ujqe
title: Aerosol_absorption_coefficient at Payerne

description: Measurement of Aerosol_absorption_coefficient at Payerne
DOI: 10.5281/zenodo.17079894
title: EXPERIMENTAL INVESTIGATION OF DIESEL, AQUEOUS AMMONIA AND COMPRESSED NATURAL GAS BLENDS ON PERFORMANCE AND EMISSIONS IN A COMPRESSION IGNITION ENGINE

description: This dataset comes from experiments on a compression ignition (CI) engine fueled with diesel, ammonia (NH₃), and compressed natural gas (CNG) in different blends. Tests include baseline diesel runs as well as mixtures with varying NH₃ and CNG proportions to study their effects on engine performance and emissions.
DOI: 10.5281/zenodo.17079895
title: EXPERIMENTAL INVESTIGATION OF DIESEL, AQUEOUS AMMONIA AND COMPRESSED NATURAL GAS BLENDS ON PERFORMANCE AND EMISSIONS IN A COMPRESSION IGNITION ENGINE

description: This dataset comes from experiments on a compression ignition (CI) engine fueled with diesel, ammonia (NH₃), and compressed natural gas (CNG) in different blends. Tests include baseline diesel runs as well as mixtures with varying NH₃ and CNG proportions to study their effects on engine performance and emissions.
DOI: 10.48597/h8eh-k2vb
title: VOC (volatile organic compounds) at Beromünster

description: Measurement of VOC (volatile organic compounds) at Beromünster
DOI: 10.48597/q5mw-fmny
title: Measurement of VOC (volatile organic compounds) at Beromünster

description: Measurement of VOC (volatile organic compounds) at Beromünster
DOI: 10.48597/3ywb-q7vm
title: Measurement of VOC (volatile organic compounds) at Beromünster

description: Measurement of VOC (volatile organic compounds) at Beromünster
DOI: 10.48597/4d8f-pjzs
title: Measurement of Aerosol_absorption_coefficient at Payerne

description: Measurement of Aerosol_absorption_coefficient at Payerne
DOI: 10.48597/mu7y-aswc
title: Measurement of Aerosol_absorption_coefficient at Payerne

description: Measurement of Aerosol_absorption_coefficient at Payerne
DOI: 10.48597/c4ku-xdgx
title: Measurement of Aerosol_absorption_coefficient at Payerne

description: Measurement of Aerosol_absorption_coefficient at Payerne
DOI: 10.48597/3mzu-p7fr
title: Measurement of Aerosol_absorption_coefficient at Payerne

description: Measurement of Aerosol_absorption_coefficient at Payerne
DOI: 10.5281/zenodo.17079819
title: Unusual Excimer/Dimer Behavior of a Highly Soluble C,N Platinum(II) Complex with a Spiro-Fluorene Motif

description: This dataset presents calculated geometries of the studied platinum(II) complex and its dimer, in the standard xyz format readible by all relevant software.
DOI: 10.5281/zenodo.17079820
title: Unusual Excimer/Dimer Behavior of a Highly Soluble C,N Platinum(II) Complex with a Spiro-Fluorene Motif

description: This dataset presents calculated geometries of the studied platinum(II) complex and its dimer, in the standard xyz format readible by all relevant software.
DOI: 10.5281/zenodo.15608584
title: CO-OPS Coastal Water Temperature

description: The NOAA Center for Operational Oceanographic Products and Services (CO-OPS) is the authoritative source for reliable, accurate, and timely data on tides, water levels,currents, and other coastal oceanographic and meteorological information, including coastal water temperature. CO-OPS services support safe and efficient maritimecommerce and transportation, safeguard public health and safety, and foster resilient coastal communities.

Coastal water temperature monitoring is essential for safe navigation, as it impacts ocean density and circulation patterns, and for assessing the health of coastal flora and fauna, as many species are sensitive to rapid changes in temperature. An understanding of the seasonal patterns and trends in water temperature aids coastal communities and practitioners in decision-making, and helps marine and freshwater biologists understand climate variability and its effects on local ecosystems, thereby enhancing knowledge for nature-based solutions.

The integration of continuously-recording water temperature thermistors into the National Water Level Observation Network (NWLON) and the CO-OPS Physical Oceanographic Real-Time Systems (PORTS) began in the early 1990s. As of December 2024, there are over 220 water temperature sensors along the U.S. coastsand in the Great Lakes region. Of these, 174 stations meet the NWLON requirement of a minimum of 19 years of continuous operation (Dusek et al 2024) in regards to theirwater temperature data records. This study establishes a robust quality control methodology and assesses the quality of CO-OPS coastal water temperature data for climate timescales studies.

To enhance data reliability, an automated Quality Assurance/Quality Control (QA/QC) procedure was developed that streamlines processing, minimizes human biases, andemploys various QC strategies, including incorporating data from backup sensors as necessary. Daily average temperatures and a seasonal based daily residual were produced for each station as well as regional groupings.

This repository contains notebooks and data to visualize the cleaned daily water temperature and a csv listing the stations and regions used in the analysis for NOAA Technical Report: Evaluation and Quality Control of CO-OPS Coastal Water Temperature Data.
DOI: 10.5281/zenodo.15608585
title: CO-OPS Coastal Water Temperature

description: The NOAA Center for Operational Oceanographic Products and Services (CO-OPS) is the authoritative source for reliable, accurate, and timely data on tides, water levels,currents, and other coastal oceanographic and meteorological information, including coastal water temperature. CO-OPS services support safe and efficient maritimecommerce and transportation, safeguard public health and safety, and foster resilient coastal communities.

Coastal water temperature monitoring is essential for safe navigation, as it impacts ocean density and circulation patterns, and for assessing the health of coastal flora and fauna, as many species are sensitive to rapid changes in temperature. An understanding of the seasonal patterns and trends in water temperature aids coastal communities and practitioners in decision-making, and helps marine and freshwater biologists understand climate variability and its effects on local ecosystems, thereby enhancing knowledge for nature-based solutions.

The integration of continuously-recording water temperature thermistors into the National Water Level Observation Network (NWLON) and the CO-OPS Physical Oceanographic Real-Time Systems (PORTS) began in the early 1990s. As of December 2024, there are over 220 water temperature sensors along the U.S. coastsand in the Great Lakes region. Of these, 174 stations meet the NWLON requirement of a minimum of 19 years of continuous operation (Dusek et al 2024) in regards to theirwater temperature data records. This study establishes a robust quality control methodology and assesses the quality of CO-OPS coastal water temperature data for climate timescales studies.

To enhance data reliability, an automated Quality Assurance/Quality Control (QA/QC) procedure was developed that streamlines processing, minimizes human biases, andemploys various QC strategies, including incorporating data from backup sensors as necessary. Daily average temperatures and a seasonal based daily residual were produced for each station as well as regional groupings.

This repository contains notebooks and data to visualize the cleaned daily water temperature and a csv listing the stations and regions used in the analysis for NOAA Technical Report: Evaluation and Quality Control of CO-OPS Coastal Water Temperature Data.
DOI: 10.15468/5rpuzd
title: MARINe/PISCO: Intertidal: MARINe Coastal Biodiversity Surveys: Point Contact Surveys Summarized

description: Long-Term Monitoring and Biodiversity Surveys done by the Multi-Agency Rocky Intertidal Network (MARINe) occur throughout the year at sites ranging from Southeast Alaska to Mexico. Long Term Monitoring surveys assess within-site community change over time, while Biodiversity surveys were designed to capture among-site patterns of community structure (abundance and spatial distribution of species). In combination, the long-term, targeted species approach and the biodiversity surveys provide a wealth of information about the structure and dynamics of rocky intertidal communities along the Pacific Coast of North America.

This metadata record documents the Point Contact surveys for the MARINe Biodiversity Surveys. Biodiversity surveys are comprised of four components, all sampled along the same transects: (1) point contact estimates of intertidal cover and substrate characteristics, (2) swath transects to estimate the density of seastars and abalone, (3) quadrat sampling to estimate the density of mobile invertebrates, and (4) topography (elevation relative to mean low low water (mllw)). Selected sites are resampled on a 3-5 year cycle. A site is defined as a contiguous rocky bench of at least 30m. Point Contact sampling consists of recording the diversity and abundance of invertebrates and algae along 11 transects of variable length extending from the upper intertidal to the low intertidal. Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the United States Navy. For a comprehensive dataset, please contact the data set owner(s).

For more information about the data described in this metadata record, please visit pacificrockyintertidal.org.

The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884
DOI: 10.5281/zenodo.17079841
title: Free energy calculations - Results of mmPBSA calculations
DOI: 10.15468/dl.59uqq8
title: Occurrence Download

description: A dataset containing 5672361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carassius auratus, Carassius carassius, Ctenopharyngodon idella, Cyprinus carpio, Esox lucius, Leuciscus idus, Leuciscus leuciscus, Micropterus salmoides, Oreochromis mossambicus, Oreochromis niloticus, Perca fluviatilis, Rutilus rutilus, Sander lucioperca, Scardinius erythrophthalmus, Silurus glanis, Tinca tinca, Carassius gibelio, Polyodon spathula, Gobio gobio)",
 "HasCoordinate is true",
 "DecimalLatitude is less than 90",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is less than 180",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 5672361 records from 1557 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042807-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xdnbh
title: Occurrence Download

description: A dataset containing 26584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Anaxyrus fowleri (Hinckley, 1882))"
 ]
}

 The dataset includes 26584 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001113-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7u74hs
title: Occurrence Download

description: A dataset containing 100272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Syzygium Gaertn."
 ]
}

 The dataset includes 100272 records from 676 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190888-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hay85v
title: Occurrence Download

description: A dataset containing 5157 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Talinum fruticosum (L.) Juss."
 ]
}

 The dataset includes 5157 records from 338 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046492-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5opimi
title: Occurrence Download

description: A dataset containing 3906 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thamnophis cyrtopsis (Kennicott, 1860)"
 ]
}

 The dataset includes 3906 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002150-150512124619364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epcchg
title: Occurrence Download

description: A dataset listing the 183907 species recorded in GBIF matching the query:
{
 "Country" : [
 "is China"
 ]
}

 The dataset's 183907 records were derived from 3562 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042531-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-141966
title: Congo sketches, 1950

description: [description english/roman)] William F.P. Burton's apologetic to validate the importance of mission work based on the transformation of the indigenous Congolese tribal peoples with illustrations drawn and painted by Burton [196 pages].
DOI: 10.57745/ozsfgp
title: Disposable_Income_2001.gpkg

description: :unav