cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26950378
title: DATA FOR ANALYSIS_RICHARD OTI

description: This study explores the role of Social Studies in developing essential soft skills and compares its impact with STEM (Science, Technology, Engineering, and Mathematics) education. While STEM is often prioritized for its link to technological and economic growth, Social Studies has been marginalized despite its important role in fostering interpersonal and ethical competencies. This research addresses this gap by examining how Social Studies contributes to soft skills development and proposes strategies for better integrating it with STEM education.A mixed-methods research design was employed, using stratified random sampling to select 500 students (split between Social Studies and STEM), 100 educators, and 50 employers. Surveys assessed the perceived importance of soft skills. For qualitative insights, purposive sampling was used to conduct two focus groups with 16 students (8 each from Social Studies and STEM) and in-depth interviews with 15 educators and 10 employers. The findings show that Social Studies significantly fosters critical soft skills, with higher levels of critical thinking, empathy, and ethical reasoning compared to STEM. Employers emphasized the growing importance of these skills in the workplace. The study recommends curriculum reforms that integrate both Social Studies and STEM to ensure a balanced approach in preparing students for the modern workforce.
DOI: 10.6084/m9.figshare.26950378.v1
title: DATA FOR ANALYSIS_RICHARD OTI

description: This study explores the role of Social Studies in developing essential soft skills and compares its impact with STEM (Science, Technology, Engineering, and Mathematics) education. While STEM is often prioritized for its link to technological and economic growth, Social Studies has been marginalized despite its important role in fostering interpersonal and ethical competencies. This research addresses this gap by examining how Social Studies contributes to soft skills development and proposes strategies for better integrating it with STEM education.A mixed-methods research design was employed, using stratified random sampling to select 500 students (split between Social Studies and STEM), 100 educators, and 50 employers. Surveys assessed the perceived importance of soft skills. For qualitative insights, purposive sampling was used to conduct two focus groups with 16 students (8 each from Social Studies and STEM) and in-depth interviews with 15 educators and 10 employers. The findings show that Social Studies significantly fosters critical soft skills, with higher levels of critical thinking, empathy, and ethical reasoning compared to STEM. Employers emphasized the growing importance of these skills in the workplace. The study recommends curriculum reforms that integrate both Social Studies and STEM to ensure a balanced approach in preparing students for the modern workforce.
DOI: 10.5281/zenodo.13695957
title: Importance of non-consumptive effects of Nabis americoferus in biological control strategies including trap crops against the Tarnished plant bug, Lygus lineolaris

description: Dataset on polyphagous tarnished plant bug (TPB), Lygus lineolaris (Palisot de Beauvois) (Hemiptera: Miridae)  host preferences and reproductive behaviors under various integrated pest management approaches.
DOI: 10.5281/zenodo.13695958
title: Importance of non-consumptive effects of Nabis americoferus in biological control strategies including trap crops against the Tarnished plant bug, Lygus lineolaris

description: Dataset on polyphagous tarnished plant bug (TPB), Lygus lineolaris (Palisot de Beauvois) (Hemiptera: Miridae)  host preferences and reproductive behaviors under various integrated pest management approaches.
DOI: 10.15468/dl.skzp2x
title: Occurrence Download

description: A dataset containing 1061677 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Celastraceae"
 ]
}

 The dataset includes 1061677 records from 3569 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117867-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57783/w24e-nw55
title: Minnesota HCUP
DOI: 10.57783/548a-8428
title: Minnesota HCUP
DOI: 10.13140/rg.2.2.11185.85601/1
title: When GRC and Heatmaps Do More Harm Than Good to Cyber Risk Management -Building the Language of Cyber Risk
DOI: 10.15468/dl.umpfm2
title: Occurrence Download

description: A dataset containing 27905691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 27905691 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010332-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15482/usda.adc/28887146
title: Data from: Evaluation of Mating Disruption for Suppression of Plodia interpunctella Populations in Retail Stores

description: Mating disruption is a commercially available management tactic for pyralid moths that are pests of stored products. However, evaluations of efficacy have had limited replication which limits the ability to draw conclusions about effectiveness or impact of different variables on efficacy. We evaluated mating disruption of Plodia interpunctella in 33 retail pet supply stores, and the impact of factors such as insect density and application rate on efficacy. The objective of the project reported here was to evaluate how well mating disruption can suppress moth populations in retail pet stores, by assessing treatments under ‘real world’ conditions found in commercial operations. Data set included the characteristics of the stores including volume and geographic location, the mating disruption treatment types including the number and location of dispensers, and the captures of moths in pheromone baited traps over time before applying the mating disruption treatment and during the mating disruption treatment.
DOI: 10.15482/usda.adc/28887146.v1
title: Data from: Evaluation of Mating Disruption for Suppression of Plodia interpunctella Populations in Retail Stores

description: Mating disruption is a commercially available management tactic for pyralid moths that are pests of stored products. However, evaluations of efficacy have had limited replication which limits the ability to draw conclusions about effectiveness or impact of different variables on efficacy. We evaluated mating disruption of Plodia interpunctella in 33 retail pet supply stores, and the impact of factors such as insect density and application rate on efficacy. The objective of the project reported here was to evaluate how well mating disruption can suppress moth populations in retail pet stores, by assessing treatments under ‘real world’ conditions found in commercial operations. Data set included the characteristics of the stores including volume and geographic location, the mating disruption treatment types including the number and location of dispensers, and the captures of moths in pheromone baited traps over time before applying the mating disruption treatment and during the mating disruption treatment.
DOI: 10.15468/dl.7zsxuc
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Indonesia, Malaysia)",
 "TaxonKey is Rhinoplax vigil",
 "Year 2015-2025"
 ]
}

 The dataset includes 64 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010354-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2uaxxe
title: Occurrence Download

description: A dataset containing 1508624 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Congo, Democratic Republic of the"
 ]
}

 The dataset includes 1508624 records from 1214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010334-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kx4knz
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Occurrence evidence, Human Observation)",
 "Continent is North America",
 "Country is Mexico",
 "TaxonKey is Lindernia"
 ]
}

 The dataset includes 369 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010357-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/6htp-py25
title: "Long duration stitched and unstitched 8K\/30 fps stereoscopic 360\u00b0 videos"

description: "TODO"
DOI: 10.5066/p13bq5cj
title: Comparison of environmental DNA sampling protocols for detection of stream fishes in the Pacific Northwest, 2019 (ver. 2.0, November 2025)

description: This dataset contains environmental DNA (eDNA) data (field, extraction, and qPCR) for rainbow trout sampling efforts conducted in the Pacific Northwest in 2019. Samples were collected using three eDNA sampling methods. Also included are qPCR data for extraction negatives, no-template controls (NTC), and standard dilutions of rainbow trout gBlock. NTC and gBlock qPCR data were used to calculate maximum uninhibited internal positive control Cq values for each qPCR plate that contained field samples. These values were then used to calculate amplification delay for qPCR replicates of field samples. Data for two environmental covariates not collected in the field (stream discharge and rainbow trout abundance) were obtained from external sources (OBMEP 2020, USGS 2024, WSC 2024).
DOI: 10.15468/dl.fnhudh
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bryophryne gymnotis"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010358-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22ch8m
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bryophryne hanssaueri"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010360-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sm3aab
title: Occurrence Download

description: A dataset containing 8826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Euproctis chrysorrhoea",
 "Year 2020-2025"
 ]
}

 The dataset includes 8826 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010361-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-8653-32
title: Business Insights and Conditions Survey: Waves 1-141, 2020-2025: Secure Access
title: BICS; Business Impact of COVID-19 Survey

description: &lt;div&gt;The &lt;span style="font-style: italic;"&gt;Business Insights and Conditions Surve&lt;/span&gt;&lt;span style="font-family: &quot;Helvetica&quot;, sans-serif;"&gt;&lt;span style="font-style: italic;"&gt;y&lt;/span&gt; (BICS, formerly&lt;/span&gt;&lt;span style="font-size:11.0pt;font-family:&quot;Helvetica&quot;,sans-serif;
mso-fareast-font-family:Calibri;mso-fareast-theme-font:minor-latin;mso-ansi-language:
EN-GB;mso-fareast-language:EN-US;mso-bidi-language:AR-SA"&gt;&lt;/span&gt;&lt;span style="font-style: italic;"&gt; the Business Impact of COVID-19 Survey)&lt;/span&gt; is a voluntary fortnightly survey of businesses developed to deliver timely indicators to help understand the impact of the coronavirus pandemic (COVID-19).  The scope of the survey has been expanded to explore other economic-related issues such as the European Union transition period (Brexit).  The survey captures businesses responses on how their turnover, workforce, prices, trade and business resilience have been affected in the two week reference period.&lt;br class="Apple-interchange-newline"&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;The data should be treated with caution as results reflect the characteristics of those who responded and not necessarily the wider business population. Comparison of the proportions of businesses' trading status between waves should be treated with caution because of the voluntary nature of the survey, the difference in response rates and dependency on those businesses that only responded in particular waves. These data should not be used in place of official statistics. The survey was designed to give an indication of the impact of the coronavirus on businesses and a timelier estimate than other surveys. The latest publications from the survey can be found on the ONS &lt;a href="https://www.ons.gov.uk/businessindustryandtrade/business/businessservices" target="_blank"&gt;Business Services&lt;/a&gt; webpage. &lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;div&gt;&lt;span style="font-style: italic;"&gt;Linking to other business studies&lt;/span&gt;&lt;/div&gt;&lt;div&gt;These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;The "wowref" variable is removed from Wave 136 onwards.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;For the 32nd edition (November 2025), data and documentations for Waves 136 to 141 were added to the study.&lt;/div&gt;
DOI: 10.17605/osf.io/k6h3v
title: Greek clustering scheme & spelling file for Semantic Verbal Fluency data analysis in Python with SNAFU

description: A scheme and spelling/synonymes list of Greek animal words organized in semantic categories. It is especially adapted for analyzing Greek data of Semantic Verbal Fluency with SNAFU python library (Zemla, et al. 2020).
DOI: 10.6084/m9.figshare.30727238
title: Makalawena Water Quality Public Data

description: KK opaeula and loko waiopae WQ work. Public data and scripts
DOI: 10.6084/m9.figshare.30727238.v1
title: Makalawena Water Quality Public Data

description: KK opaeula and loko waiopae WQ work. Public data and scripts
DOI: 10.15468/dl.73uaqs
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.21_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Podocnemis unifilis",
 "Year 2000-2025"
 ]
}

 The dataset includes 127 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010362-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13884953
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15482/usda.adc/29927297.v1
title: Data from: Social Context Influence on Urban Gardener Perceptions of Pests and Management Practices

description: Community gardens are important urban green spaces with a variety of social and ecological benefits, one of which is access to healthy food. Similar to rural agriculture, the quantity and quality of the food produced can be compromised by pest damage. In fact, many urban gardeners report crop damages caused by vertebrate and invertebrate pests. Yet, because the food produced in community gardens is mostly for self-consumption and thus not under market quality standards, the damage thresholds and the point when gardeners perceive a pest problem and how they decide to manage it, may greatly vary from gardener to gardener. Here, we investigated how socio-demographic factors and experience affect whether gardeners report having a pest problem and which pest management practices they use. We surveyed 187 gardeners from 18 different urban community gardens in three counties in the California central coast, USA. We also collected information about gardener socio-demographic factors (age, gender, ethnicity), as well as education, and years of experience in agriculture. The majority of gardeners reported having pests in their plots but their ethnicity, the amount of time they spend in the gardens, and whether they work in agricultural-related employment or not influenced the likelihood of reporting pests.We found that themajority of gardeners use curative, non-synthetic practices for managing pests, but that some use preventive practices and some don’t do anything to control pests. The likelihood of using practices that are curative depended on gardeners’ ethnicity, the amount of time they spend in the gardeners, and their gender. Our results suggest that the agricultural knowledge of urban community gardeners and the practices they use varies greatly and that, in order to be successful, extension programs may need to take this diversity into account when promoting the agroecological paradigm in urban agricultural (UA) systems.
DOI: 10.15482/usda.adc/29927297
title: Data from: Social Context Influence on Urban Gardener Perceptions of Pests and Management Practices

description: Community gardens are important urban green spaces with a variety of social and ecological benefits, one of which is access to healthy food. Similar to rural agriculture, the quantity and quality of the food produced can be compromised by pest damage. In fact, many urban gardeners report crop damages caused by vertebrate and invertebrate pests. Yet, because the food produced in community gardens is mostly for self-consumption and thus not under market quality standards, the damage thresholds and the point when gardeners perceive a pest problem and how they decide to manage it, may greatly vary from gardener to gardener. Here, we investigated how socio-demographic factors and experience affect whether gardeners report having a pest problem and which pest management practices they use. We surveyed 187 gardeners from 18 different urban community gardens in three counties in the California central coast, USA. We also collected information about gardener socio-demographic factors (age, gender, ethnicity), as well as education, and years of experience in agriculture. The majority of gardeners reported having pests in their plots but their ethnicity, the amount of time they spend in the gardens, and whether they work in agricultural-related employment or not influenced the likelihood of reporting pests.We found that themajority of gardeners use curative, non-synthetic practices for managing pests, but that some use preventive practices and some don’t do anything to control pests. The likelihood of using practices that are curative depended on gardeners’ ethnicity, the amount of time they spend in the gardeners, and their gender. Our results suggest that the agricultural knowledge of urban community gardeners and the practices they use varies greatly and that, in order to be successful, extension programs may need to take this diversity into account when promoting the agroecological paradigm in urban agricultural (UA) systems.
DOI: 10.15468/dl.dkp969
title: Occurrence Download

description: A dataset containing 4879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus maritimus"
 ]
}

 The dataset includes 4879 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010364-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aanw6j
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caecilia degenerata"
 ]
}

 The dataset includes 92 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010363-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6srbr7
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caecilia guntheri"
 ]
}

 The dataset includes 42 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010365-251120083545085/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.30727241
title: Scarcity Mindset as Predictor of Cryptocurrency Investments

description: The often lottery-like, speculative process of cryptocurrency investing may be particularly interesting to investors with a scarcity mindset because the prospect of large gains can be attractive when financial resources are considered to be inadequate to satisfy needs or wants. Data of the National Financial Capability Study for 2021 (n=2,364) and 2018 (n=1,634) confirm a direct and positive association between a scarcity mindset and cryptocurrency investing, controlling for established predictors of investment behavior. The role of scarcity mindset holds for other risky investments. The study extends the understanding of behavioral mechanisms that explain risky financial decisions.
DOI: 10.6084/m9.figshare.30727241.v1
title: Scarcity Mindset as Predictor of Cryptocurrency Investments

description: The often lottery-like, speculative process of cryptocurrency investing may be particularly interesting to investors with a scarcity mindset because the prospect of large gains can be attractive when financial resources are considered to be inadequate to satisfy needs or wants. Data of the National Financial Capability Study for 2021 (n=2,364) and 2018 (n=1,634) confirm a direct and positive association between a scarcity mindset and cryptocurrency investing, controlling for established predictors of investment behavior. The role of scarcity mindset holds for other risky investments. The study extends the understanding of behavioral mechanisms that explain risky financial decisions.