cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/9g5l4d
title: Replication Data for: Robust Inference for Interrupted Time Series Models with Serial Dependent Disturbances

description: Replication Data for: Robust Inference for Interrupted Time Series Models with Serial Dependent Disturbances
DOI: 10.25314/bd59a8ee-6c74-4dc9-b541-3b9e08dc4490
title: Glacial History and Landform Genesis in the Lac de Gras Area, Northwest Territories

description: The Quaternary geology of the Lac de Gras area was studied by 1:20 000 surficial geology mapping of 770 km2 and investigating the genesis of enigmatic landforms. Three distinct flow directions of the Laurentide Ice Sheet are recorded: flow to the southwest, then west, and finally to the west northwest. Digital mapping with high-resolution orthoimagery and a 30 cm lidar DEM provides insight into the deglacial history. ‘Subglacial meltwater corridors’ are prominent in the area. These are tracts that roughly parallel the final ice-flow direction, where basal till has been eroded, bedrock is exposed, and glaciofluvial sediments have been deposited; enigmatic, glaciofluvial mounds composed of sandy diamicton are common. These mounds have highly variable morphologies and occur in groups. They are typically 50 m wide and rise up to 15 m above the surrounding topography. Subglacial meltwater corridors and enigmatic mounds likely formed when supraglacial lakes drained catastrophically during deglaciation. This dataset was originally deposited in the Simon Fraser University institutional repository.
DOI: 10.6084/m9.figshare.30208537
title: Raw pictures of L saxatilis for morphometric study

description: Understanding morphological variation is crucial for the study of speciation and for conservation as it helps in assessing biodiversity and predicting responses to environmental changes. These approaches are broadly applicable but are especially valuable in marine environments, where species are often elusive, difficult to study, and face heightened threats from rapid environmental shifts. The marine snail <i>Littorina saxatilis</i> is notable for its extensive polymorphism in shell shape, size, and colour, with ecotypes that evolve in response to environmental forces including wave exposure and crab predation. Morphometric tools have been central to investigating the mechanisms driving this phenotypic divergence; yet, a direct comparison of their methodological efficacy is lacking. Here, we took advantage of <i>L. saxatilis’</i> ecotypes to contrast three morphometric approaches: elliptical Fourier analysis (EFA), landmarks-based geometric morphometrics (GM), and the growth-based model implemented in the <i>ShellShaper</i> software (SS). We assessed their clustering power, biological interpretability, robustness to measurement error and transferability among datasets. Our findings provide insights to guide method selection in studies aimed at exploring morphological variation: EFA is better suited for high-throughput screening and describing intermediate shapes; SS offers superior clustering power with highly interpretable growth parameters; and GM is best for detailed anatomical studies but is less efficient for large datasets. We provide guidelines to align method selection with specific research goals, balancing analytical efficiency with the required morphological and biological insight. By following this framework, researchers can ensure that robust morphological analysis is achieved, which is essential not only for elucidating mechanisms of adaptation and speciation but also for effective management and conservation of marine biodiversity.
DOI: 10.6084/m9.figshare.30208537.v1
title: Raw pictures of L saxatilis for morphometric study

description: Understanding morphological variation is crucial for the study of speciation and for conservation as it helps in assessing biodiversity and predicting responses to environmental changes. These approaches are broadly applicable but are especially valuable in marine environments, where species are often elusive, difficult to study, and face heightened threats from rapid environmental shifts. The marine snail <i>Littorina saxatilis</i> is notable for its extensive polymorphism in shell shape, size, and colour, with ecotypes that evolve in response to environmental forces including wave exposure and crab predation. Morphometric tools have been central to investigating the mechanisms driving this phenotypic divergence; yet, a direct comparison of their methodological efficacy is lacking. Here, we took advantage of <i>L. saxatilis’</i> ecotypes to contrast three morphometric approaches: elliptical Fourier analysis (EFA), landmarks-based geometric morphometrics (GM), and the growth-based model implemented in the <i>ShellShaper</i> software (SS). We assessed their clustering power, biological interpretability, robustness to measurement error and transferability among datasets. Our findings provide insights to guide method selection in studies aimed at exploring morphological variation: EFA is better suited for high-throughput screening and describing intermediate shapes; SS offers superior clustering power with highly interpretable growth parameters; and GM is best for detailed anatomical studies but is less efficient for large datasets. We provide guidelines to align method selection with specific research goals, balancing analytical efficiency with the required morphological and biological insight. By following this framework, researchers can ensure that robust morphological analysis is achieved, which is essential not only for elucidating mechanisms of adaptation and speciation but also for effective management and conservation of marine biodiversity.
DOI: 10.15468/dl.3znc3m
title: Occurrence Download

description: A dataset listing the 237 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-70.049 41.782,-69.967 41.782,-69.967 41.896,-70.049 41.896,-70.049 41.782))",
 "HasCoordinate is true",
 "TaxonKey is Aves",
 "Year 2017-2026"
 ]
}

 The dataset's 237 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004204-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/crcvya
title: County level analysis comprising public data for Family Medicine-Gen Surg Dyads

description: Linked datasets 
• AMA Masterfile: Physician specialty and county of practice location data
• County Health Rankings: Age-adjusted premature mortality data
• Area Health Resource Files: Hospital location and disease-specific death rates
• EPA Air Quality Index: Percentage of days with poor air quality
• U.S. Census Data: Poverty rates, health insurance coverage, and population centers within counties
• Centers for Medicare & Medicaid Services: Geographic inflation-adjusted medical costs and risk scores using hierarchical condition categories
DOI: 10.7910/dvn/4aphmj
title: Replication Data for: Towards room-temperature quantum optical magnetometry with alkali-free noble gases

description: This dataset contains the Python code used to generate all calculations and figures for the paper on the feasibility of two-photon direct optical magnetometry with xenon. The repository includes a calculation class that implements the physical model (including signal generation, projection noise, photon shot noise, detector noise, and technical relative intensity noise), as well as scripts that reproduce the figures presented in the manuscript.

All experimental and hardware parameters are defined in JSON configuration files to ensure reproducibility. Running the main script regenerates all figures directly from the model without manual intervention. The code depends on NumPy, SciPy, and Matplotlib and is structured to allow straightforward modification of experimental parameters for future studies.
DOI: 10.7910/dvn/wsqhwm
title: Replication data for The Sustainability Dilemma Among Gen Z Consumers

description: The dataset (The Sustainability Dilemma Among Gen Z Consumers) serves the purpose of providing full transparency and replicability for the novel theoretical framework introduced in this study, which conceptualizes the "subjective social dilemma" as an internal psychological conflict experienced by young consumers during sustainable consumption decisions.

Nature of the Data: The dataset comprises survey responses from 360 Generation Z consumers collected in a Latin American context. It includes raw data for all latent constructs measured in the study: collectivism, perceived environmental self-efficacy, environmental concern, and the subjective social dilemma construct. The file contains demographic variables and all items used in the measurement scales, allowing for full inspection of the data distribution and properties.

Scope and Technical Documentation: The uploaded materials include: (1) the complete dataset in [appropriate format, e.g., .csv or .sav]; (2) the Covariance-Based Structural Equation Modeling (CB-SEM) analysis file with AMOS outputs, including path coefficients, model fit indices (CFI, RMSEA, SRMR), and standardized residuals; (3) comprehensive reliability analysis showing Cronbach's alpha coefficients for each construct, (4) Variance Inflation Factor (VIF) statistics confirming the absence of multicollinearity concerns among the predictor variables; and (5) the correlation matrix for all latent variables. This dataset enables researchers to verify our counterintuitive findings
DOI: 10.5281/zenodo.18746408
title: Supplementary Data: Pollinator, Pest, or Neither? Long-term Dynamics and Functional Role of Cyclocephaline Beetles on Macaúba Palm

description: Supporting Dataset for article entitled: Pollinator, Pest, or Neither? Long-term Dynamics and Functional Role of Cyclocephaline Beetles on Macaúba Palm
DOI: 10.5281/zenodo.18746407
title: Supplementary Data: Pollinator, Pest, or Neither? Long-term Dynamics and Functional Role of Cyclocephaline Beetles on Macaúba Palm

description: Supporting Dataset for article entitled: Pollinator, Pest, or Neither? Long-term Dynamics and Functional Role of Cyclocephaline Beetles on Macaúba Palm
DOI: 10.5281/zenodo.17520507
title: Dataset from the field study on Soviet Nostalgia in Uzbekistan

description: This dataset presents the findings of a study conducted in different regions of Uzbekistan between June 9 and August 31, 2025. The primary objective of the research is to examine nostalgic tendencies toward the Soviet era in Uzbek society within a sociological and historical context. The data was collected online from a total of 120 participants, primarily using a convenience sampling method. The main demographic variables include age, gender, education level, occupational group, and place of residence. This dataset is a valuable resource for researchers working on collective memory, identity construction, and political culture in post-Soviet Uzbekistan. The dataset is published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
DOI: 10.5281/zenodo.17520506
title: Dataset from the field study on Soviet Nostalgia in Uzbekistan

description: This dataset presents the findings of a study conducted in different regions of Uzbekistan between June 9 and August 31, 2025. The primary objective of the research is to examine nostalgic tendencies toward the Soviet era in Uzbek society within a sociological and historical context. The data was collected online from a total of 120 participants, primarily using a convenience sampling method. The main demographic variables include age, gender, education level, occupational group, and place of residence. This dataset is a valuable resource for researchers working on collective memory, identity construction, and political culture in post-Soviet Uzbekistan. The dataset is published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
DOI: 10.15468/dl.h7jdqs
title: Occurrence Download

description: A dataset containing 5773855 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Natural History Museum (London) Collection Specimens"
 ]
}

 The dataset includes 5773855 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004198-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/c051dk
title: Replication Data for: Voluntary Practice Tests improve Exam Performance: Evidence from an Introductory Economics Cours

description: Striking the right balance between mandatory requirements and voluntary practice opportunities is a universal challenge for teachers. While voluntary practice tests offer a way for students to self-calibrate effort, their effectiveness is difficult to assess because participation is endogenously selected. We address this challenge using quasi-experimental methods in a German university setting where voluntary practice tests are rewarded with bonus points on the final exam but are not mandatory. We find that incentivized voluntary testing increases final-exam performance by 11–17%, with no evidence of negative spillovers to performance in other same-semester courses. Using an honest causal forest, we further document substantial treatment-effect heterogeneity, with the largest gains among mid-performing students. Overall, we contribute methodologically with placebo-validated causal estimates in a highly endogenous setting, and policy-wise by showing that modest incentives for voluntary testing can yield sizable learning improvements.
DOI: 10.7910/dvn/1zieo4
title: Heterogenous CO2 Corrosion Dataset

description: Combination of field, simulated and experimental data got from literature.
DOI: 10.15468/dl.5xfypt
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "StateProvince is Tamaulipas",
 "TaxonKey is Lathyrus parvifolius"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004213-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18746450
title: Water potential data related to "Will epiphyte loss exacerbate climate change effects in tropical montane cloud forests?"
DOI: 10.5281/zenodo.18746449
title: Water potential data related to "Will epiphyte loss exacerbate climate change effects in tropical montane cloud forests?"
DOI: 10.15468/dl.mnecdw
title: Occurrence Download

description: A dataset listing the 1759 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.82796 43.73296,-79.83439 43.72732,-79.80038 43.70289,-79.78558 43.69168,-79.77533 43.68584,-79.76889 43.68203,-79.76798 43.672,-79.76617 43.65745,-79.77295 43.65314,-79.76984 43.64054,-79.76178 43.6352,-79.75526 43.63405,-79.74564 43.62729,-79.74161 43.62514,-79.73657 43.63025,-79.7468 43.63745,-79.75632 43.64392,-79.76255 43.6456,-79.76479 43.65008,-79.75848 43.65464,-79.75799 43.66321,-79.75836 43.67234,-79.75872 43.68111,-79.76238 43.6861,-79.76969 43.69158,-79.78052 43.69633,-79.82796 43.73296))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1759 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004210-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qt6y27
title: Occurrence Download

description: A dataset containing 16648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Herpestes ichneumon"
 ]
}

 The dataset includes 16648 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004217-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ah3dts
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "StateProvince is Oaxaca",
 "TaxonKey is Bothrops asper"
 ]
}

 The dataset includes 138 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004218-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vs44bn
title: Occurrence Download

description: A dataset containing 606665 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 606665 records from 282 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004181-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/rv9awf
title: Replication materials for: Why Biden-era clean energy investment policies had limited political returns

description: The Biden Administration enacted the largest federal policy framework to incentivize clean energy and decarbonization in U.S. history. We examine whether Biden-era green investments produced political returns by affecting public opinion. Using geolocated survey data linked to investment records and a database of company and politician statements, we assess project visibility and credit attribution. People closer to new renewable energy and green manufacturing facilities are more likely to notice these investments but are not more likely to credit the Biden Administration. Instead, the public sees governors as most responsible. This credit allocation pattern aligns with the political message environment: governors more frequently claim credit than the White House and companies spread recognition broadly across political actors. This fragmented information environment illustrates the limits of using less traceable forms of green spending to generate electoral gains and public support for climate policy.
DOI: 10.7910/dvn/veztmi
title: Replication Data for: The Power of Persuasion or the Persuasion of Power: The mechanisms of foreign policy opinion formation in China

description: Studies have frequently shown that the Chinese government is effective in shaping public opinions on foreign policies. However, when the government successfully persuades citizens, is it the messages or the messenger that matter more? We address this question through a survey experiment on foreign policy attitudes. Assigning the respondents randomly into three groups: a control group receiving only nationalist-leaning policy background information, a treatment group exposed to anonymous counterarguments, and a treatment group exposed to identical counterarguments but endorsed by the government, we find that the government-endorsed counterarguments lead to much more dovish opinions compared to anonymous counterarguments. Further analysis explores whether this endorsement effect is moderated by political fear and/or political trust. Our findings indicate that political fear conditions government endorsement much more than political trust. Our study deepens the understanding of the nature of political persuasion in an authoritarian context.
DOI: 10.7910/dvn/vwagjk
title: Data from: Effectiveness of exercise snacks in mitigating adolescent problematic smartphone use: A four-wave cluster randomized controlled trial

description: This dataset contains de-identified longitudinal data from a four-wave cluster randomized controlled trial evaluating the effectiveness of a school-based exercise snacks intervention on mitigating problematic smartphone use among adolescents. The trial involved 386 participants and spanned six months. The dataset includes demographic variables, subjective smartphone addiction severity (SAS-SV), objective daily screen time, basic psychological need satisfaction (SDT), psychological distress (DASS-21), state-level well-being (WHO-5), and stable psychological traits (RSES, CYRM). Furthermore, it includes continuous objective physical activity metrics, specifically daily steps and calorie expenditure, captured via wearable devices. Data were collected at baseline, month 2, month 4 (end of intervention), and month 6 (follow-up).
DOI: 10.34740/kaggle/dsv/14934856
title: 5G Network KPI Dataset
DOI: 10.6084/m9.figshare.31391304
title: Causal Inference Using Antidotal Variables

description: This paper shows that incorporating what we call antidotal variables (AV) into a causal treatment effects analysis can with one cross-sectional regression identify the causal effect, the spillover effect, as well as possible biases from selectivity. We apply the AV technique to analyze leave taking arising from the California Paid Family Leave (CPFL) program. Our analysis yields between a 55% and 70% larger treatment effect than the traditional DID methods, which we attribute to confounding effects and spillovers, neither of which are found in traditional studies.
DOI: 10.6084/m9.figshare.31391304.v1
title: Causal Inference Using Antidotal Variables

description: This paper shows that incorporating what we call antidotal variables (AV) into a causal treatment effects analysis can with one cross-sectional regression identify the causal effect, the spillover effect, as well as possible biases from selectivity. We apply the AV technique to analyze leave taking arising from the California Paid Family Leave (CPFL) program. Our analysis yields between a 55% and 70% larger treatment effect than the traditional DID methods, which we attribute to confounding effects and spillovers, neither of which are found in traditional studies.
DOI: 10.7910/dvn/nyxchi
title: KROSS (Korean studies Research on Overseas Scholar citationS)

description: &lt;p&gt;&lt;b&gt;Analyzing Knowledge Circulation across Korean Literature and English Literature in Korea Using KCI Metadata&lt;/b&gt;&lt;/p&gt;

&lt;p&gt;This collaborative research project investigates knowledge circulation and theoretical hegemony across two disciplinary fields in the Korean academic landscape: Korean Literature (국문학) and English Literature in Korea (영문학). Despite their scholarly affinity, these fields have long been institutionally and culturally separated, leaving the intersections between them largely unexamined.&lt;/p&gt;

&lt;p&gt;By reframing both under a unified lens of "Literature" in Korea, this project traces how concepts and discourses transform as they travel across disciplinary boundaries. It also extends the scope of analysis to "world literature" discourses that exist beyond the Korean academic field, examining the dynamics of theoretical influence and knowledge transfer between domestic and international scholarship.&lt;/p&gt;

&lt;p&gt;Crucially, this project understands knowledge not as abstract and disembodied, but as necessarily mediated by embodied actors. Accordingly, we examine how generation, gender, and other sociocultural factors are entangled with and intervene in these knowledge flows.&lt;/p&gt;

&lt;p&gt;The primary data source is metadata from the KCI (Korea Citation Index) database.&lt;/p&gt;