cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/2xp8yf
title: Replication Data for: Navigating the Range of Statistical Tools for Inferential Network Analysis

description: The last decade has seen substantial advances in statistical techniques for the analysis of network data, and a major increase in the frequency with which these tools are used. These techniques are designed to accomplish the same broad goal, statistically valid inference in the presence of highly interdependent relationships, but important differences remain between them. We review three approaches commonly used for inferential network analysis---the Quadratic Assignment Procedure, Exponential Random Graph Model, and Latent Space Network Model---highlighting the strengths and weaknesses of the techniques relative to one another. An illustrative example using climate change policy network data shows that all three network models outperform standard logit estimates on multiple criteria. This paper introduces political scientists to a class of network techniques beyond simple descriptive measures of network structure, and helps researchers choose which model to use in their own research.
description: This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill.
<br>
Note: The Odum Institute verification team found slight differences in the LSM estimates for Table 1 from the authors. This may be caused by an issue with the latentnet package used in the analysis; however, this does not impact the conclusion or primary findings presented in the article.
<br>
The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the Center for Open Science.<br>
DOI: 10.7910/dvn/gy8pxp
title: Replication Data for: Local Economic Benefits Increase Positivity toward Foreigners

description: Can exposure to discernible economic benefits associated with the presence of a high-socioeconomic status immigrant group reduce xenophobic and antiforeigner attitudes? We explore this question using the case of Chinese internationals in the United States and an exogenous influx of foreign capital associated with their presence. Using a difference-in-differences design with panel data, along with analyses of pooled cross-sectional data, we find that immigration attitudes, as well as views towards China, became more positive over time among Americans residing in locales whose economies were stimulated by Chinese foreign investments. Our findings have implications for research on public attitudes towards immigration in an era of growing flows of high-socioeconomic status immigrants to the United States and other immigrant-receiving nations.
DOI: 10.7910/dvn/io2flm
title: Replication Data for: Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson’s disease

description: This dataset contains the data required for replication of the results published in the paper titled "Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson’s disease". The abstract for the paper is below:

Brain signal decoding promises significant advances in the development of clinical brain computer interfaces (BCI). In Parkinson’s disease (PD), first bidirectional BCI implants for adaptive deep brain stimulation (DBS) are now available. Brain signal decoding can extend the clinical utility of adaptive DBS but the impact of neural source, computational methods and PD pathophysiology on decoding performance are unknown. This represents an unmet need for the development of future neurotechnology. To address this, we developed an invasive brain-signal decoding approach based on intraoperative sensorimotor electrocorticography (ECoG) and subthalamic LFP to predict grip-force, a representative movement decoding application, in 11 PD patients undergoing DBS. We demonstrate that ECoG is superior to subthalamic LFP for accurate grip-force decoding. Gradient boosted decision trees (XGBOOST) outperformed other model architectures. ECoG based decoding performance negatively correlated with motor impairment, which could be attributed to subthalamic beta bursts in the motor preparation and movement period. This highlights the impact of PD pathophysiology on the neural capacity to encode movement kinematics. Finally, we developed a connectomic analysis that could predict grip-force decoding performance of individual ECoG channels across patients by using their connectomic fingerprints. Our study provides a neurophysiological and computational framework for invasive brain signal decoding to aid the development of an individualized precision-medicine approach to intelligent adaptive DBS.
DOI: 10.7910/dvn/s3lp6o
title: Replication Data for: How Political Careers affect Prime-Ministerial Performance: Evidence from Central and Eastern Europe

description: Even though Prime Ministers (PMs) are the central actors in
parliamentary democracies, little comparative research explores what
makes them perform successfully in office. This article investigates how
the political careers of PMs affect their performance. For this purpose, we
make use of a unique expert survey covering 131 cabinets in eleven
Central and Eastern European countries between 1990 and 2018.
Performance is defined as a two-dimensional set of tasks PMs ought to
fulfill: first, managing the cabinet and directing domestic affairs as tasks
delegated to their office, second, ensuring support of parliament and
their own party, who constitute the direct principals. The findings
indicate that a simple political insider career is not sufficient to enhance
prime-ministerial performance. Rather, PMs who served as party leaders
have the best preconditions to succeed in office.
DOI: 10.7910/dvn/s3p5qs
title: Executive Agreements Database, Background Statement Regarding the basic Exchange and Cooperative Agreement Between The United States and Denmark concerning Mapping, Charting and Geodesy Cooperation, with Glossary and Annex Signed At Fairfax and Vadbaek Dec 20, 1995 and Feb 7, 1996

description: KAV 4524

cover memo
DOI: 10.7910/dvn/zalrzt
title: Replication data for: The Influence of Unobserved Factors on Position Timing and Content in the NAFTA Vote

description: A variety of factors have been shown to influence position timing and the content of positions taken by legislators on important issues. In addition to these observed factors, I argue that unobserved factors such as behind-the-scenes lobbying and party loyalty may also influence position timing and position content. Although hypotheses about observed factors can be tested using traditional methods, hypotheses about unobserved factors cannot. To test for systematic effects of unobserved factors on position timing and content, I develop a seemingly unrelated discrete-choice duration estimator and apply it to data from the vote for the North American Free Trade Agreement. The results indicate that even after controlling for observed factors, there is still evidence that unobserved factors such as Presidential lobbying and/or party loyalty influence both choices.
description: Subject: STANDARD DEPOSIT TERMS 1.0 Type: DATAPASS:TERMS:STANDARD:1.0 Notes: This study was deposited under the of the Data-PASS standard deposit terms. A copy of the usage agreement is included in the file section of this study.;
DOI: 10.7910/dvn/51xkco
title: Radiation-Induced Lung Toxicity in Mice Irradiated in a Strong Magnetic Field - Mouse 71

description: Mouse 71: Irradiated 05/25/2016 Pre Scan: 05/24/2016 Post Scan: 10/12/2016
DOI: 10.15468/dl.ue8dw2
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tylidae",
 "Year 2017-2019",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049840-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/aq18-8k05
title: "Shallot Dataset"

description: "This paper presents an edge-based forecasting framework for soil moisture and pH in shallot cultivation by leveraging a modified Temporal Fusion Transformer (TFT) architecture. Unlike conventional TFT, which employs an LSTM encoder\u2013decoder, the proposed model integrates a Cross-Attention mechanism to enhance parallelism, capture long-range dependencies more effectively, and improve interpretability through attention weights. To address noise and variability in IoT sensor data, a Savitzky\u2013Golay (SG) digital filter is applied as preprocessing. The experimental setup involved real-world data collected over a 74-day growth cycle of 300 shallot plants cultivated in Brebes, Indonesia, under three soil moisture conditions (Ideal, Wet, and Dry). The model was trained and deployed on an NVIDIA Jetson Orin edge device to ensure real-time inference. Evaluations used Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Coverage Probability, and Quantile Loss under Elastic Net and Weight Decay regularizations. Results show that Cross-Attention significantly improves predictive stability, especially for pH under Ideal and Wet conditions, while Static Enrichment enhances inter-sensor consistency. SG filtering reduced noise and error variance, leading to more robust forecasts. Benchmark comparisons with LSTM, Informer, Autoformer, and DeepAR confirmed that the proposed TFT\u2013Cross Attention achieves superior accuracy, robustness, and efficiency. With filtering, the model reached low-latency inference (0.12 ms\/sample, 8,505 samples\/s), while the unfiltered variant yielded slightly higher latency (0.13 ms\/sample) and lower throughput (7,651 samples\/s). Nevertheless, this study remains limited to one soil type and agroclimatic condition. Future work will expand to multiple crop varieties, soil textures, and agroclimates to validate generalizability. These findings highlight the potential of the proposed framework to support sustainable precision agriculture and broader smart farming systems"
DOI: 10.15468/dl.sv8nu3
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049842-250811113504898/datasets/export for details.
DOI: 10.15468/dl.8e49k2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Styloniscidae",
 "Year 1999-2001",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049841-250811113504898/datasets/export for details.
DOI: 10.15468/dl.7cubxq
title: Occurrence Download

description: A dataset containing 12994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens glandulifera",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12994 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049843-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33wqwq
title: Occurrence Download

description: A dataset containing 28881 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calyptocarpus vialis Less."
 ]
}

 The dataset includes 28881 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010088-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtr5h4
title: Occurrence Download

description: A dataset containing 652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes aegypti"
 ]
}

 The dataset includes 652 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000086-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bu6xqa
title: Occurrence Download

description: A dataset containing 842 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena accepta"
 ]
}

 The dataset includes 842 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000088-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/1518
title: RoomSpace

description: This dataset, associated with the IJCAI-24 paper "Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning", aims to enhance spatial reasoning evaluations in language models. Our benchmark encompasses a broad spectrum of qualitative spatial relationships, including topological, directional, and distance relations. These are presented with different viewing points, varied granularities, and density of relation constraints to mimic real-world complexities, promoting more accurate evaluation of language models' capabilities in spatial reasoning tasks.
DOI: 10.24339/696cbbf6-4d54-46cf-b8fe-1615ff9fbc17
title: Creating Suicide-Safer Schools: Evaluating the Impact of Brief Awareness Training on Staff Confidence, Language, and Emotional Readiness.

description: This dataset contains post-training evaluation responses collected following a Suicide Safer Community training session delivered to school staff in September 2023. The dataset comprises 88 individual submissions and 30 variables, capturing both quantitative and qualitative feedback from participants across multiple schools.

The data includes:
* Administrative fields, such as submission date and training location.
* Participant background information, including age group, gender, and (optionally) name and email address.
* Quantitative Likert-scale measures (scored from 1–10) assessing changes in knowledge, awareness, confidence, and attitudes related to suicide awareness, stigma, language use, warning signs, risk factors, and understanding of suicidal ideation following the training.
* Training evaluation metrics, including perceived quality and delivery of the session and likelihood of recommending the training to other schools or organisations.
* Future training interest, capturing respondents’ interest in additional suicide prevention or intervention training offerings.
* Open-ended qualitative responses, allowing participants to provide suggestions for improvement and general feedback on the training and facilitators.

Overall, the dataset provides a mixed-methods evaluation of the training’s effectiveness, combining structured numerical ratings with free-text qualitative reflections. 

Please note this dataset cannot be shared publicly as it includes personally identifiable information.
DOI: 10.17632/y2sxpcpwxf
title: 3D-Printed Superhydrophobic Copper Mesh for Oil/Water Separation and Microplastics Capture

description: Üsed photo of the article 3D-Printed Superhydrophobic Copper Mesh for Oil/Water Separation and Microplastics Capture
DOI: 10.17632/y2sxpcpwxf.1
title: 3D-Printed Superhydrophobic Copper Mesh for Oil/Water Separation and Microplastics Capture

description: Üsed photo of the article 3D-Printed Superhydrophobic Copper Mesh for Oil/Water Separation and Microplastics Capture
DOI: 10.17632/jkrfp9dn5g.1
title: Integrating GIS-Based Groundwater Potential Mapping and Geophysical Surveys in Fractured Aquifers: a case study in Brazil

description: This dataset was developed to support the study “Decision-Support Mapping for Sustainable Groundwater Use in Fractured Urban Aquifers: A GIS and Geophysical Approach in Brazil” and provides the spatial and geophysical information used to identify groundwater exploitation potential in a heterogeneous fractured aquifer system. The dataset compiles geological, geomorphological, hydrogeological, and geophysical attributes integrated within a Geographic Information System (GIS) framework to produce a groundwater potential map for an urban environment.

This dataset aims to ensure transparency, reproducibility, and reuse of the proposed methodology, enabling other researchers, water managers, and planners to apply, adapt, or compare the approach in similar geological and urban contexts. By reducing uncertainties in well siting and supporting sustainable groundwater management, the dataset contributes to broader efforts toward urban water security and the responsible use of fractured aquifer systems.
DOI: 10.17632/3pfhr7fyw3
title: Supporting Information for Research Letter: 'Circular RNAs are differentially expressed in cystic fibrosis bronchial epithelium and regulate ion conductance'

description: Supporting Information for the Research Letter 'Circular RNAs are differentially expressed in cystic fibrosis bronchial epithelium and regulate ion conductance' (Manuscript ID Red-2025-0313LE). This PDF file contains information on: biochemical characterization of cCD109 circRNA (pages 1-2), transfection efficiency (pages 2-4) and a representative trace for the Ussing chambers experiments shown in Figure 1D (page 4).
DOI: 10.17632/3pfhr7fyw3.1
title: Supporting Information for Research Letter: 'Circular RNAs are differentially expressed in cystic fibrosis bronchial epithelium and regulate ion conductance'

description: Supporting Information for the Research Letter 'Circular RNAs are differentially expressed in cystic fibrosis bronchial epithelium and regulate ion conductance' (Manuscript ID Red-2025-0313LE). This PDF file contains information on: biochemical characterization of cCD109 circRNA (pages 1-2), transfection efficiency (pages 2-4) and a representative trace for the Ussing chambers experiments shown in Figure 1D (page 4).
DOI: 10.17632/rkzs7hw88x
title: Data

description: None
DOI: 10.17632/rkzs7hw88x.1
title: Data

description: None
DOI: 10.17632/968kvv98m4.2
title: MONOBHAV: A Large-Scale Bengali Dataset for Fine-Grained Sentiment Analysis

description: MONOBHAV is a Bengali dataset for fine-grained sentiment analysis. It contains 10,000 Bengali texts collected from social media platforms and newspaper websites. Each text is manually annotated by native Bengali speakers into five sentiment classes - Strongly Negative, Negative, Neutral, Positive, and Strongly Positive. This dataset enhances the resources available for Bengali sentiment analysis and supports the development and evaluation of more accurate sentiment models for the language.
DOI: 10.17632/9kvv7bv25m.8
title: Food Restriction Patterns and Their Impact on Growth and Nutrition in Chinese Pediatric Atopic Dermatitis

description: Supplemental material for "Food Restriction Patterns and Their Impact on Growth and Nutrition in Chinese
Pediatric Atopic Dermatitis"
DOI: 10.17632/4j6sygkbtx
title: Metagenomic data of soil sulfur cycling under green manure treatments

description: The dataset includes metagenomic sequencing data related to soil sulfur cycling under different long-term green manure treatments in paddy soil. The data were generated from field experiments and comprise functional gene abundance and taxonomic annotations associated with sulfur metabolism. These data support the analyses of microbial community composition and sulfur cycling functional pathways presented in this study and can be used for further comparative and meta-analyses of soil biogeochemical processes.
DOI: 10.17632/4j6sygkbtx.1
title: Metagenomic data of soil sulfur cycling under green manure treatments

description: The dataset includes metagenomic sequencing data related to soil sulfur cycling under different long-term green manure treatments in paddy soil. The data were generated from field experiments and comprise functional gene abundance and taxonomic annotations associated with sulfur metabolism. These data support the analyses of microbial community composition and sulfur cycling functional pathways presented in this study and can be used for further comparative and meta-analyses of soil biogeochemical processes.
DOI: 10.17632/dpzjjnh6hf.1
title: ENDID_IV

description: This repository reproduces the paper’s main empirical results from:

“Difference-in-differences with endogenous externalities: Model and application to climate econometrics”
Papers in Regional Science, 104 (2025) 100125.

The code implements the paper’s strategy by combining (i) a PPML first stage to predict bilateral flows and construct a country–year exposure instrument, and (ii) an IV second stage to estimate causal effects on country–year outcomes.

First stage (PPML). We estimate a Poisson model with high-dimensional fixed effects (exporter–importer and year) using fixest::fepois. From the estimated coefficients, we compute predicted bilateral flows and build WD_row_hat, an instrument that measures country i’s exposure in year t to shocks occurring in node j (e.g., drought). Exposure is weighted by shares derived from predicted bilateral flows, using either row-standardization (by exporter-year) or a year-global normalization, depending on the option selected.

Second stage (IV). We estimate country–year panel models for outcomes such as ln_production (and optionally ln_area, ln_yield) as functions of observed exposure WD_row_obs, treated as endogenous and instrumented by WD_row_hat. Specifications include fixed effects and climate/structural controls (temperature, precipitation, irrigation, and drought indicators), estimated with fixest::feols using its IV formula syntax.

Inference. Standard errors are obtained via a two-level bootstrap: (1) draw PPML coefficient vectors from a multivariate normal approximation based on the first-stage variance–covariance matrix; (2) resample country clusters (or a user-defined cluster key) with replacement and re-estimate the second-stage and IV models for each replication. This yields bootstrap standard errors that incorporate both first-stage uncertainty and within-cluster dependence. Parallelization uses foreach/doParallel, and reproducibility is ensured via doRNG with a fixed seed.

Inputs are: (a) a bilateral panel (isoi, isoj, year) for the PPML stage and (b) a country–year panel (iso, year) for the IV stage. Running the replication script produces point estimates and a coefficient table with bootstrap standard errors and key diagnostics (e.g., first-stage F-statistics when available).
DOI: 10.5517/ccdc.csd.cc2klvdf
title: CCDC 2371605: Experimental Crystal Structure Determination

description: Related Article: F. Calzaferri, H. Daher, J. Gilbert, Y. Yang, M. Tauziet, C. Jallet, Y. Bessin, A. van der Lee, P. B. Arimondo, I. Krimm, E. Julien, M. Lopez|2025|J.Med.Chem.|68|10704|doi:10.1021/acs.jmedchem.4c02075
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.