cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13012/b2idb-8847584_v2
title: Stopwords and keywords for manual field assignment for the STI 2023 paper Assessing the agreement in retraction indexing across 4 multidisciplinary sources: Crossref, Retraction Watch, Scopus, and Web of Science

description: We used the following keywords files to identify categories for journals and conferences not in Scopus, for our STI 2023 paper "Assessing the agreement in retraction indexing across 4 multidisciplinary sources: Crossref, Retraction Watch, Scopus, and Web of Science".

The first four text files each contains keywords/content words in the form: 'keyword1', 'keyword2', 'keyword3', .... The file title indicates the name of the category:
file1: healthscience_words.txt
file2: lifescience_words.txt
file3: physicalscience_words.txt
file4: socialscience_words.txt

The first four files were generated from a combination of software and manual review in an iterative process in which we:
- Manually reviewed venue titles were not able to automatically categorize using the Scopus categorization or extending it as a resource.
- Iteratively reviewed uncategorized venue titles to manually curate additional keywords as content words indicating a venue title could be classified in the category healthscience, lifescience, physicalscience, or socialscience. We used English content words and added words we could automatically translate to identify content words. NOTE: Terminology with multiple potential meanings or contain non-English words that did not yield useful automatic translations e.g., (e.g., Al-MasƒÅq) were not selected as content words.

The fifth text file is a list of stopwords in the form: 'stopword1', 'stopword2, 'stopword3', ...
file5: stopwords.txt
This file contains manually curated stopwords from venue titles to handle non-content words like 'conference' and 'journal,' etc.

This dataset is a revision of the following dataset:
Version 1: Lee, Jou; Schneider, Jodi: Keywords for manual field assignment for Assessing the agreement in retraction indexing across 4 multidisciplinary sources: Crossref, Retraction Watch, Scopus, and Web of Science. University of Illinois at Urbana-Champaign Data Bank.

Changes from Version 1 to Version 2:
- Added one author
- Added a stopwords file that was used in our data preprocessing.
- Thoroughly reviewed each of the 4 keywords lists. In particular, we added UTF-8 terminology, removed some non-content words and misclassified content words, and extensively reviewed non-English keywords.
DOI: 10.15468/dl.28p2c7
title: Occurrence Download

description: A dataset listing the 313 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.92892 -2.18789,-79.91314 -2.18789,-79.91314 -2.16668,-79.92892 -2.16668,-79.92892 -2.18789))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 313 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032509-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vctd9k
title: Occurrence Download

description: A dataset containing 21196494 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 21196494 records from 971 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032508-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1v4bpm5
title: MITRE WaterSHEDs PFAS vulnerability model output for Upper Colorado River Basin at 1 km, 9 km, and 100 km hexagonal tessellations

description: Per- and polyfluoroalkyl substances (PFAS) in the aquatic environment present a water resource management challenge, in part due to the geospatial distribution of presumptive sources and their connections to the hydrological network. MITRE developed a geospatial model called Water Sensing and Hydrology for Environmental Decision Support (WaterSHEDS) that assigns stream-vulnerability scores based on a limited number of presumptive PFAS sources and the hydrologic network from NHDPlus High Resolution. This model is intended to inform decisions on where to sample for PFAS based on upstream presumptive hazard sources. Presumptive PFAS sources within the watershed were assigned relative weights based on their industries. The presence of presumptive sources upstream from each flowline, their relative industry weighting, and distance from the flowline were used to estimate a vulnerability score for each stream reach. A low vulnerability score indicates the absence of presumptive PFAS sources in the contributing catchment, and higher score indicates the presence of many high-weighted potential sources near the stream segment of interest. These vulnerability scores were aggregated into 1 km, 9 km, and 100 km hexagonal tessellations. The WaterSHEDS model is intended to be flexible in the number and type of hazard data sources used, and in how the attributes within the hazard sources and the USGS hydrology data layers are used to calculate an integrated vulnerability.
DOI: 10.15468/dl.p23frx
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032538-250811113504898/datasets/export for details.
DOI: 10.15468/dl.kghamq
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Python molurus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032539-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/02956
title: Chandra X-ray Observatory ObsId 02956

description: SIMULTANEOUS HST, CHANDRA AND FUSE OBSERVATIONS OF INTRINSIC ABSORBERS IN AGN
DOI: 10.15468/dl.cqf2bc
title: Occurrence Download

description: A dataset containing 116529 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany"
 ]
}

 The dataset includes 116529 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032517-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16927111
title: Dataset for "Inverse Microparticle Design for Enhanced Optical Trapping and Detection Efficiency in All Six Degrees of Freedom"
DOI: 10.5281/zenodo.16927112
title: Dataset for "Inverse Microparticle Design for Enhanced Optical Trapping and Detection Efficiency in All Six Degrees of Freedom"
DOI: 10.25574/03147
title: Chandra X-ray Observatory ObsId 03147

description: SIMULTANEOUS CHANDRA-HST OBSERVATIONS OF SEYFERT 1 GALAXY NGC 7469
DOI: 10.25574/18622
title: Chandra X-ray Observatory ObsId 18622

description: Deciphering the ionised outflows in NGC 7469
DOI: 10.25574/18623
title: Chandra X-ray Observatory ObsId 18623

description: Deciphering the ionised outflows in NGC 7469
DOI: 10.15468/dl.r26anw
title: Occurrence Download

description: A dataset containing 116872 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Bat winter roosts counts (per individual) Flanders, Belgium"
 ]
}

 The dataset includes 116872 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032518-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/18733
title: Chandra X-ray Observatory ObsId 18733

description: Deciphering the ionised outflows in NGC 7469
DOI: 10.25574/18734
title: Chandra X-ray Observatory ObsId 18734

description: Deciphering the ionised outflows in NGC 7469
DOI: 10.25574/18735
title: Chandra X-ray Observatory ObsId 18735

description: Deciphering the ionised outflows in NGC 7469
DOI: 10.25574/18736
title: Chandra X-ray Observatory ObsId 18736

description: Deciphering the ionised outflows in NGC 7469
DOI: 10.25574/18737
title: Chandra X-ray Observatory ObsId 18737

description: Deciphering the ionised outflows in NGC 7469
DOI: 10.25574/18738
title: Chandra X-ray Observatory ObsId 18738

description: Deciphering the ionised outflows in NGC 7469
DOI: 10.5066/p1jmvrcj
title: Swan Lake National Wildlife Refuge pre-restoration orthoimagery and elevation products, spring 2025

description: The products presented here document conditions at the Swan Lake National Wildlife Refuge, Missouri from March to May, 2025. Imagery was collected to document conditions at areas in the north (“N_wetlands”) and east (“E_wetlands”) portions of the refuge prior to restoration to modify hydrology and habitat and improve future management capabilities. Imagery also captured a section of levee near the Silver Lake spillway that had failed in late 2024 (“blowout”), in order to inform adaptations to the planned restoration actions. Images were collected using low-altitude flights of unoccupied aerial systems (UAS, or “drones”) and processed using structure-from-motion techniques to generate three dimensional products including the point cloud, digital elevation model, and orthoimage in this data set. Images and derived elevation products provide baseline information about current terrestrial communities against which to compare changes following restoration of terrestrial areas.
DOI: 10.15468/dl.vqyve4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Leptinotarsa decemlineata",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032541-250811113504898/datasets/export for details.
DOI: 10.15468/dl.jz7vfz
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Bombus terrestris",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032542-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tr2py
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poecilia teresae)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032543-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16927865
title: BERT and RoBERTa model checkpoints for Offensive Language Detection on Potato-Prolific Dataset
DOI: 10.5281/zenodo.16927866
title: BERT and RoBERTa model checkpoints for Offensive Language Detection on Potato-Prolific Dataset
DOI: 10.15468/dl.t6gssm
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nomorhamphus weberi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032544-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfdxu8
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Pseudomyrmex gracilis",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032545-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsxmqc
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032547-250811113504898/datasets/export for details.
DOI: 10.6073/pasta/4694ed8ea0abee4223fb36a6218b6d55
title: Data from: 'A large, infrequent ecosystem subsidy (cicada carcasses) and warming additively accelerate development and increase growth of larval amphibians'

description: These data are from an experiment designed to quantify how ecosystem subsidies and elevated temperatures affect pond food webs, focusing on the response of frogs and the mechanisms affecting their responses. The subsidy we examined was the deposition of periodical cicada carcasses into ponds, simulating a large subsidy event that happens only every 17 years. The 7-week experiment was conducted in outdoor tanks using a factorial design with four treatments: Control (no subsidy, ambient temperature); Cicadas (cicada carcasses added in one large pulse); Warming (temperature elevated about 2.6°C above ambient); and Cicadas & Warming. The data set includes two frog response variables: time to metamorphosis (days) and size at metamorphosis (g wet mass). It also includes temperature in each tank, measured at 30-minute intervals. In addition, it includes data designed to characterize resource supply to frogs, including the abundance of periphyton and phytoplankton measured as chlorophyll concentration; periphyton and phytoplankton composition at the Division level using data from a spectrofluoroprobe; and water column nutrient concentrations, including ammonium, nitrate, total nitrogen, soluble reactive phosphorus, and total phosphorus. In addition, we estimated algal gross primary production using data on dissolved oxygen measured at 30-minute intervals, and include oxygen data here. Finally, we measured the rate at which cicada carcasses and leaf litter decomposed, and dissolved organic carbon concentrations at the end of the experiment, as these data may shed light on factors affecting nutrient supply to algae as well as ecosystem respiration rates, which are used to estimate gross primary production rates. Thus, we include data on the mass of cicada carcasses and leaf litter on several dates, as well as DOC concentrations on the last day of the experiment.
DOI: 10.34894/ocpoh9
title: Disinformation for Hire

description: &lt;p dir="ltr"&gt;The replication material includes the do files and datasets to replicate the results in tables, figures and text of the main manuscript and the appendix. The code constructs the results from the field data and additional experiments we ran on Prolific and MTurk. The material contains 4 code files, all ending with “.do”. The code was last run using Stata (version 18.0) on MacOS. The replicator should expect the code to run under 5 minutes on a standard (2024) desktop machine.&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;Background&lt;/b&gt; The spread of misinformation has been linked to increased social divisions and adverse health outcomes, but less is known about the production of disinformation, which is misinformation intended to mislead.&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;Method&lt;/b&gt; The main data used in this paper has been collected by the authors using the Mturk interface (Field Experiment) or Qualtrics (Manipulation Check, Downstream Consequences, and Platform Interventions). It is available in the replication package. Our survey design and selection eligibility are included in the Supplementary Document in this depository.&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;Results&lt;/b&gt; In a field experiment on MTurk (N=1,197), we found that while 70% of workers accepted a control job, 61% accepted a disinformation job requiring them to manipulate COVID-19 data. To quantify the trade-off between ethical and financial considerations in job acceptance, we introduced a lower-pay condition offering half the wage of the control job; 51% of workers accepted this job, suggesting that the ethical compromise in the disinformation task reduced the acceptance rate by about the same amount as a 25% wage reduction.&lt;/p&gt;&lt;p dir="ltr"&gt;A survey experiment with a nationally representative sample shows that viewing a disinformation graph from the field experiment negatively affected people’s beliefs and behavioral intentions related to the COVID-19 pandemic, including increased vaccine hesitancy.&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;Conclusion&lt;/b&gt; Using a “wisdom-of-crowds” approach, we highlight how online labor markets can introduce features, such as increased worker accountability, to reduce the likelihood of workers engaging in the production of disinformation. Our findings emphasize the importance of addressing the supply side of disinformation in online labor markets to mitigate its harmful societal effects.&lt;/p&gt;
description: This entry is a twenty-two-file data package totaling 9.2 MB, containing files in .txt, .pdf, .sav, .odt, .dta, .do, .csv and .ods formats.If you use this dataset, please cite: Stoop, Jan; Cohn, Alain (2024). Disinformation for Hire. Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.27868341
DOI: 10.15468/dl.v7werd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Python reticulatus",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032549-250811113504898/datasets/export for details.
DOI: 10.34894/qvklpl
title: Data set of "Falling and failing (to learn)"

description: &lt;p dir="ltr"&gt;Data set of "Falling and failing (to learn): Evidence from a Nation-Wide Cybersecurity Field Experiment with SMEs"&lt;/p&gt;&lt;p dir="ltr"&gt;Accepted for publication in the Journal of Economic Behavior and Organization &lt;/p&gt;&lt;p dir="ltr"&gt;Abstract:&lt;/p&gt;&lt;p dir="ltr"&gt;Prior experiences are crucial in shaping risk prevention behavior. Previous studies have shown that experiencing a simulated phishing attack (a ``phishing drill") reduces the likelihood of clicking on unsafe links and disclosing one's password. In a large field experiment involving 670 small and medium-sized enterprises (SMEs) and their 33,000 employees, we examined the impact of experience on individuals' ability to detect cyber-security threats, and whether this effect persisted over several months. We collected data at both the company and individual levels, including risk preference, time preference, and trust. Our findings indicate only a non-systematic, short-term effect of previous phishing emails on clicking behavior. A cluster of individuals with greater patience, trust, and risk seeking was more likely to click on phishing links in the first place but then also more likely to benefit from phishing drills.&lt;/p&gt;
description: This entry is a nine-file data package totaling 4.2 MB, containing files in .txt, .pdf, .R and .ods formats.If you use this dataset, please cite: Baillon, Aurelien; Capozza, Francesco; Gonzalez-Jimenez, David (2025). Data set of "Falling and failing (to learn)". Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.28123376
DOI: 10.5281/zenodo.16928667
title: Dataset for "Inverse Microparticle Design for Enhanced Optical Trapping and Detection Efficiency in All Six Degrees of Freedom"
DOI: 10.5281/zenodo.16928668
title: Dataset for "Inverse Microparticle Design for Enhanced Optical Trapping and Detection Efficiency in All Six Degrees of Freedom"
DOI: 10.15468/dl.x28cwy
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ulex europaeus"
 ]
}

 The dataset includes 179 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032551-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w78yjt
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Python reticulatus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032550-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3artt
title: Occurrence Download

description: A dataset containing 24367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Koeleria spicata"
 ]
}

 The dataset includes 24367 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032548-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e52et9
title: Occurrence Download

description: A dataset containing 6352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies mariesii Mast.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Japan"
 ]
}

 The dataset includes 6352 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002102-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15294156
title: References - Self-consumption and self-sufficiency in energy sharing communities in Germany: What is the impact of wind energy?

description: This document contents  references for the article "Self-consumption and self-sufficiency in energy sharing communities in Germany: What is the impact of wind energy?".
DOI: 10.5281/zenodo.15294157
title: References - Self-consumption and self-sufficiency in energy sharing communities in Germany: What is the impact of wind energy?

description: This document contents  references for the article "Self-consumption and self-sufficiency in energy sharing communities in Germany: What is the impact of wind energy?".