cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ggb4vgv3fp
title: VBL_AL_EDA

description: This folder contains the processed dataset and Python scripts associated with the electrodermal activity (EDA) experiment conducted with N = 45 undergraduate students in an Operations Research course. The study compared a video-based lecture and an active learning activity, and the data provided here correspond to the cleaned and preprocessed signals used in the manuscript analyses. The repository includes subject-level summaries, paired statistical outputs, and the scripts used for feature extraction, inferential testing, and figure generation, ensuring transparency and reproducibility of the reported results.
DOI: 10.17632/ggb4vgv3fp.1
title: VBL_AL_EDA

description: This folder contains the processed dataset and Python scripts associated with the electrodermal activity (EDA) experiment conducted with N = 45 undergraduate students in an Operations Research course. The study compared a video-based lecture and an active learning activity, and the data provided here correspond to the cleaned and preprocessed signals used in the manuscript analyses. The repository includes subject-level summaries, paired statistical outputs, and the scripts used for feature extraction, inferential testing, and figure generation, ensuring transparency and reproducibility of the reported results.
DOI: 10.17632/6shkbw5ny8
title: Optimizing import patterns to reduce the environmental effects and risks of China’s grain imports

description: Table 1 presents the resource–environmental effects induced by China’s grain imports. Worksheet 1 reports the overall net effects, while Worksheets 2–5 report the environmental effects associated with China’s imports of different crops. Table 2 presents China’s grain import risk. Worksheet 1 reports the overall import risk, whereas Worksheets 2–5 report the import risk associated with China’s imports of different crops.
DOI: 10.15468/dl.6h7jru
title: Occurrence Download

description: A dataset containing 30855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Clepsis consimilana"
 ]
}

 The dataset includes 30855 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021837-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6shkbw5ny8.1
title: Optimizing import patterns to reduce the environmental effects and risks of China’s grain imports

description: Table 1 presents the resource–environmental effects induced by China’s grain imports. Worksheet 1 reports the overall net effects, while Worksheets 2–5 report the environmental effects associated with China’s imports of different crops. Table 2 presents China’s grain import risk. Worksheet 1 reports the overall import risk, whereas Worksheets 2–5 report the import risk associated with China’s imports of different crops.
DOI: 10.17632/6k5g93rytk
title: Digital Transformation and Supply Chain Risk: Evidence from Chinese Manufacturing Firms

description: The purpose of this package is to facilitate the replication of the results presented in the paper. The data on supply chain risk and city-level control variables are obtained from the China National Research Data Service (CNRDS) platform. Information on digital assets, firm-level financial metrics, and industry characteristics is sourced from the China Stock Market & Accounting Research Database (CSMAR). Global supply chain data are drawn from the FactSet Revere database. These databases are subscription-based commercial databases, and their raw data cannot be freely distributed. Therefore, due to licensing restrictions, we are unable to share the raw firm-level data used in the analysis. To address this issue, we provide the processed datasets sufficient to replicate all baseline and robustness regressions. Full replication of the paper requires access to these databases through the relevant institutions, or the use of alternative open sources with comparable microeconomic data.
DOI: 10.17632/6k5g93rytk.8
title: Digital Transformation and Supply Chain Risk: Evidence from Chinese Manufacturing Firms

description: The purpose of this package is to facilitate the replication of the results presented in the paper. The data on supply chain risk and city-level control variables are obtained from the China National Research Data Service (CNRDS) platform. Information on digital assets, firm-level financial metrics, and industry characteristics is sourced from the China Stock Market & Accounting Research Database (CSMAR). Global supply chain data are drawn from the FactSet Revere database. These databases are subscription-based commercial databases, and their raw data cannot be freely distributed. Therefore, due to licensing restrictions, we are unable to share the raw firm-level data used in the analysis. To address this issue, we provide the processed datasets sufficient to replicate all baseline and robustness regressions. Full replication of the paper requires access to these databases through the relevant institutions, or the use of alternative open sources with comparable microeconomic data.
DOI: 10.17632/gks82htjpw
title: 2026-JGR-Yi Yan-data

description: The data of "Dynamic and Transformation Mechanisms of an Earthquake‒Induced Liquefied Loess Landslide‒Earth flow Hazard Chain on a Gentle Irrigated Terrace: Insights from the Cascade Hazard Induced by the 2023 Jishishan Earthquake"
DOI: 10.17632/gks82htjpw.1
title: 2026-JGR-Yi Yan-data

description: The data of "Dynamic and Transformation Mechanisms of an Earthquake‒Induced Liquefied Loess Landslide‒Earth flow Hazard Chain on a Gentle Irrigated Terrace: Insights from the Cascade Hazard Induced by the 2023 Jishishan Earthquake"
DOI: 10.17632/xmt27wch4s
title: Replication material for "Covered Interest Parity in Emerging Markets: Measurement and Drivers", by Mai Chi Dao and Pierre-Olivier Gourinchas

description: Data and codes to replicate all results (Figures, Tables and Appendix) in the final version of the paper. README file explains the procedures step by step.
DOI: 10.17632/xmt27wch4s.1
title: Replication material for "Covered Interest Parity in Emerging Markets: Measurement and Drivers", by Mai Chi Dao and Pierre-Olivier Gourinchas

description: Data and codes to replicate all results (Figures, Tables and Appendix) in the final version of the paper. README file explains the procedures step by step.
DOI: 10.17632/ygrtnp9y7w
title: CIFAR-100

description: The CIFAR-10 and CIFAR-100 are labeled subsets of the 80 million tiny images dataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton.
The CIFAR-100 dataset consists of 60000 32x32 colour images in 100 classes, with 600 images per class. There are 50000 training images and 10000 test images.
The dataset can be used in tensorflow and is available in tensorflow.keras.datasets.
DOI: 10.17632/ygrtnp9y7w.1
title: CIFAR-100

description: The CIFAR-10 and CIFAR-100 are labeled subsets of the 80 million tiny images dataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton.
The CIFAR-100 dataset consists of 60000 32x32 colour images in 100 classes, with 600 images per class. There are 50000 training images and 10000 test images.
The dataset can be used in tensorflow and is available in tensorflow.keras.datasets.
DOI: 10.17632/p384bgyzz3
title: Arabic Scam and Legitimate Call Conversation Dataset (ASLC-448)

description: ## Description

This dataset presents a novel multi-dialect Arabic scam and legitimate telephone call conversation corpus designed for training and evaluating scam detection models. The dataset addresses a critical gap in Arabic-language fraud detection research, where no publicly available scam call datasets currently exist.

The dataset contains 448 annotated conversations covering nine Arabic dialects: Modern Standard Arabic (MSA), Egyptian, Gulf, Jordanian, Saudi, Yemeni, Sudanese, Iraqi, and Syrian. Each conversation simulates a realistic telephone interaction structured as a multi-turn dialogue between a caller and a receiver over five utterance turns (three caller turns and two receiver turns).

## Data Structure

The Excel file contains 18 columns per conversation:

| Column | Type | Description |
|--------|------|-------------|
| conversation_id | String | Unique identifier (CONV_0001 to CONV_0448) |
| full_conversation | String | Complete conversation text with speaker labels |
| caller_turn_1 | String | First caller utterance |
| receiver_turn_1 | String | First receiver response |
| caller_turn_2 | String | Second caller utterance |
| receiver_turn_2 | String | Second receiver response |
| caller_turn_3 | String | Third caller utterance |
| label | String | Binary class label: scam or not_scam |
| category | String | Fine-grained category (23 categories) |
| dialect | String | Arabic dialect (9 dialects) |
| urgency_score | Integer | Time pressure intensity (0–5) |
| sensitive_info_requests | Integer | Confidential data solicitation (0–2) |
| financial_pressure_score | Integer | Monetary demands intensity (0–5) |
| threat_score | Integer | Threat/intimidation level (0–3) |
| impersonation_score | Integer | Identity deception level (0–2) |
| conversation_length | Integer | Total characters in conversation |
| word_count | Integer | Total words in conversation |
| label_binary | Integer | Binary encoding: 1 = scam, 0 = not_scam |

| File | Description |
|------|-------------|
| arabic_scam_dataset_complete.xlsx | Complete text dataset with 448 conversations, labels, categories, dialects, risk scores, and metadata (18 columns) |
| audio_dataset/scam/*.wav | Synthesized audio files for scam conversations (16 kHz, mono, WAV) |
| audio_dataset/not_scam/*.wav | Synthesized audio files for legitimate conversations (16 kHz, mono, WAV) |



---

## License

CC BY 4.0 (Creative Commons Attribution 4.0 International)
DOI: 10.17632/p384bgyzz3.1
title: Arabic Scam and Legitimate Call Conversation Dataset (ASLC-448)

description: ## Description

This dataset presents a novel multi-dialect Arabic scam and legitimate telephone call conversation corpus designed for training and evaluating scam detection models. The dataset addresses a critical gap in Arabic-language fraud detection research, where no publicly available scam call datasets currently exist.

The dataset contains 448 annotated conversations covering nine Arabic dialects: Modern Standard Arabic (MSA), Egyptian, Gulf, Jordanian, Saudi, Yemeni, Sudanese, Iraqi, and Syrian. Each conversation simulates a realistic telephone interaction structured as a multi-turn dialogue between a caller and a receiver over five utterance turns (three caller turns and two receiver turns).

## Data Structure

The Excel file contains 18 columns per conversation:

| Column | Type | Description |
|--------|------|-------------|
| conversation_id | String | Unique identifier (CONV_0001 to CONV_0448) |
| full_conversation | String | Complete conversation text with speaker labels |
| caller_turn_1 | String | First caller utterance |
| receiver_turn_1 | String | First receiver response |
| caller_turn_2 | String | Second caller utterance |
| receiver_turn_2 | String | Second receiver response |
| caller_turn_3 | String | Third caller utterance |
| label | String | Binary class label: scam or not_scam |
| category | String | Fine-grained category (23 categories) |
| dialect | String | Arabic dialect (9 dialects) |
| urgency_score | Integer | Time pressure intensity (0–5) |
| sensitive_info_requests | Integer | Confidential data solicitation (0–2) |
| financial_pressure_score | Integer | Monetary demands intensity (0–5) |
| threat_score | Integer | Threat/intimidation level (0–3) |
| impersonation_score | Integer | Identity deception level (0–2) |
| conversation_length | Integer | Total characters in conversation |
| word_count | Integer | Total words in conversation |
| label_binary | Integer | Binary encoding: 1 = scam, 0 = not_scam |

| File | Description |
|------|-------------|
| arabic_scam_dataset_complete.xlsx | Complete text dataset with 448 conversations, labels, categories, dialects, risk scores, and metadata (18 columns) |
| audio_dataset/scam/*.wav | Synthesized audio files for scam conversations (16 kHz, mono, WAV) |
| audio_dataset/not_scam/*.wav | Synthesized audio files for legitimate conversations (16 kHz, mono, WAV) |



---

## License

CC BY 4.0 (Creative Commons Attribution 4.0 International)
DOI: 10.17632/fmh38c7trk
title: Dataset on Hyper-Local Particulate Matter and Environmental Parameters Collected via IoT Mobile Sensors in Dhaka

description: This dataset contains high-resolution environmental data collected using a custom-developed IoT monitoring device. It focuses on multi-fraction Particulate Matter (PM) concentrations, providing a granular view of air quality that includes PM1, PM2.5, PM4, and PM10.

Unlike standard monitoring stations that often only track PM2.5 and PM10, this dataset captures a wider spectrum of particle sizes, allowing for more detailed respiratory health and environmental analysis. The data is geo-tagged (Latitude/Longitude) and time-stamped, enabling spatiotemporal analysis of pollution hotspots alongside meteorological variables (Temperature and Humidity).
DOI: 10.17632/fmh38c7trk.1
title: Dataset on Hyper-Local Particulate Matter and Environmental Parameters Collected via IoT Mobile Sensors in Dhaka

description: This dataset contains high-resolution environmental data collected using a custom-developed IoT monitoring device. It focuses on multi-fraction Particulate Matter (PM) concentrations, providing a granular view of air quality that includes PM1, PM2.5, PM4, and PM10.

Unlike standard monitoring stations that often only track PM2.5 and PM10, this dataset captures a wider spectrum of particle sizes, allowing for more detailed respiratory health and environmental analysis. The data is geo-tagged (Latitude/Longitude) and time-stamped, enabling spatiotemporal analysis of pollution hotspots alongside meteorological variables (Temperature and Humidity).
DOI: 10.17632/4fgtzdtbth
title: Dataset for Transient Thermal Response of Banana–Bagasse Fiber Hybrid Biocomposite Laminates with Conch Shell Filler under Active Infrared Thermography

description: This dataset contains raw extracted master temperature–time data and representative thermal video recordings obtained from transient convective heating experiments conducted on seven banana–bagasse fiber hybrid biocomposite laminate configurations, including neat epoxy (EP100) and filler-modified systems containing 0–5 wt% conch shell powder.

Active infrared thermography was used to monitor surface temperature evolution under a standardized thermal loading protocol consisting of 30 s convective heating (approximately 100 °C hot air) followed by 60 s natural cooling. Temperature data were recorded at 1 frame per second over a total duration of 90 s. Each laminate configuration was tested in triplicate (n = 3), and the master dataset includes all replicate measurements.

The dataset includes:

• Raw time-resolved temperature data (0–90 s) for all seven laminate systems
• Extracted thermographic metrics (T0, T30, Tmax, T90, heating rate Rh, cooling rate Rc, and thermal retention ratio TR)
• Master compiled dataset used for statistical analysis
• Sample thermal video files for each laminate plate demonstrating the transient heating and cooling behavior

All quantitative metrics reported in the associated manuscript were derived from raw, unsmoothed temperature data. The thermal videos provide visual validation of surface temperature evolution and phase transitions during heating and cooling.

This dataset supports the manuscript entitled:
“Transient Thermal Response of Banana–Bagasse Fiber Hybrid Biocomposite Laminates with Conch Shell Filler Using Active Infrared Thermography.”
DOI: 10.17632/4fgtzdtbth.1
title: Dataset for Transient Thermal Response of Banana–Bagasse Fiber Hybrid Biocomposite Laminates with Conch Shell Filler under Active Infrared Thermography

description: This dataset contains raw extracted master temperature–time data and representative thermal video recordings obtained from transient convective heating experiments conducted on seven banana–bagasse fiber hybrid biocomposite laminate configurations, including neat epoxy (EP100) and filler-modified systems containing 0–5 wt% conch shell powder.

Active infrared thermography was used to monitor surface temperature evolution under a standardized thermal loading protocol consisting of 30 s convective heating (approximately 100 °C hot air) followed by 60 s natural cooling. Temperature data were recorded at 1 frame per second over a total duration of 90 s. Each laminate configuration was tested in triplicate (n = 3), and the master dataset includes all replicate measurements.

The dataset includes:

• Raw time-resolved temperature data (0–90 s) for all seven laminate systems
• Extracted thermographic metrics (T0, T30, Tmax, T90, heating rate Rh, cooling rate Rc, and thermal retention ratio TR)
• Master compiled dataset used for statistical analysis
• Sample thermal video files for each laminate plate demonstrating the transient heating and cooling behavior

All quantitative metrics reported in the associated manuscript were derived from raw, unsmoothed temperature data. The thermal videos provide visual validation of surface temperature evolution and phase transitions during heating and cooling.

This dataset supports the manuscript entitled:
“Transient Thermal Response of Banana–Bagasse Fiber Hybrid Biocomposite Laminates with Conch Shell Filler Using Active Infrared Thermography.”
DOI: 10.5281/zenodo.18399501
title: Testdata Feeding Buzz Classification across Bat Guilds in Central Europe
title: Bat feeding buzz predictions: Across classifiers and guilds

description: TestData_Resampled_zipped.zip - The zipped files contains all the bat sequences that were used to test the classification of FB. File number
DOI: 10.17632/fvb66pndk4.1
title: Endometriosis

description: Dataset of Luoshi Neiyi Prescription in the Treatment of EMs in Rats
DOI: 10.17632/23w7vpbrfd
title: Replication files for "Central bank signals, behavioral biases, and information flow"

description: Replication data and code for "Central bank signals, behavioral biases, and information flow," published in Economic Modelling. Contains daily asset returns (2004–2023), R code for all simulations and empirical analyses, and a README with instructions.
DOI: 10.17632/23w7vpbrfd.1
title: Replication files for "Central bank signals, behavioral biases, and information flow"

description: Replication data and code for "Central bank signals, behavioral biases, and information flow," published in Economic Modelling. Contains daily asset returns (2004–2023), R code for all simulations and empirical analyses, and a README with instructions.
DOI: 10.15470/jskgvb
title: Biodiversity monitoring in the restored quarry La Chanta

description: La Chanta was a limestone quarry currently owned by Holcim Spain, located in Alcarria de Alcal?, in the municipality of Corpa. It is the result of Holcim's biodiversity strategy, a corporation that has opted for a new model of rehabilitation of mining spaces, demonstrating that it is possible to achieve a positive net balance in biodiversity after its restoration.

Following the execution of restoration activities in 2020, in March 2021 a stewardship agreement for five years and extendable in usufruct was signed between Holcim Spain and Brinzal.

Since then, Brinzal has been in charge of carrying out standardized and regularly maintained monitoring over time of an important variety of faunal and flora groups to objectively assess their evolution.
DOI: 10.17632/8kxj7gbjwn
title: Treatment of Rhinophyma in Skin of Color: Clinical Challenges and Treatment Considerations Supplementary Text 1

description: Detailed search algorithms for each database used for this review.
DOI: 10.17632/8kxj7gbjwn.1
title: Treatment of Rhinophyma in Skin of Color: Clinical Challenges and Treatment Considerations Supplementary Text 1

description: Detailed search algorithms for each database used for this review.
DOI: 10.17632/37ft7yckhw.1
title: Pitfalls of the Sustainable Development Goals? Transformation of regional development goals and strategic behaviors of local government

description: Pitfalls of the Sustainable Development Goals? Transformation of regional development goals and strategic behaviors of local government
DOI: 10.17632/989hfk5x2n
title: Numerical data for: Nanoscale mechanisms of mesocrystal formation during non-classical heterogeneous growth of manganese (hydr)oxides on ferrihydrite

description: Numerical data for: Nanoscale mechanisms of mesocrystal formation during non-classical heterogeneous growth of manganese (hydr)oxides on ferrihydrite
DOI: 10.17632/989hfk5x2n.1
title: Numerical data for: Nanoscale mechanisms of mesocrystal formation during non-classical heterogeneous growth of manganese (hydr)oxides on ferrihydrite

description: Numerical data for: Nanoscale mechanisms of mesocrystal formation during non-classical heterogeneous growth of manganese (hydr)oxides on ferrihydrite
DOI: 10.17632/d5zg52mwfs
title: Data for Physiological constraints decouple soil respiration and its temperature sensitivity across depth in saline-alkaline grasslands

description: Data for Physiological constraints decouple soil respiration and its temperature sensitivity across depth in saline-alkaline grasslands
DOI: 10.17632/d5zg52mwfs.1
title: Data for Physiological constraints decouple soil respiration and its temperature sensitivity across depth in saline-alkaline grasslands

description: Data for Physiological constraints decouple soil respiration and its temperature sensitivity across depth in saline-alkaline grasslands
DOI: 10.17632/s3wy23bkdd
title: LLM AUDIO
DOI: 10.17632/s3wy23bkdd.1
title: LLM AUDIO
DOI: 10.17632/wg49h59y6m
title: Raccoons optimally forage for information: exploration exploitation tradeoffs in innovation

description: Cognitive Task Description:
In May-July 2020, captive raccoons housed at the United States Department of Agriculture National Wildlife Research Center were presented with a multi-access puzzle box (MAB). The MAB had 3 solutions at three difficulty levels: easy, medium, and hard. The raccoons were first given the easy solutions and allowed to explore and solve as many solutions on the MAB as they chose, but were only given one food reward per trial. Once the raccoon successfully solved one solution 15 times it was moved to the next difficulty level, until it was presented with all three difficulty levels. 

Hypotheses:
The design of this task allowed us to determine whether exploration-exploitation tradeoffs applied to innovative problem solving. First, we asked whether raccoons would innovate solutions on the MAB even while known solutions were still available and solvable. We then asked whether their innovation rates would follow an exploration-exploitation tradeoff when solution difficulties changed.

We found that, as predicted by optimal foraging theory, raccoons will tradeoff between exploration and exploitation in a problem solving context. Raccoons are more likely to explore when presented with easier problems and more likely to exploit known solutions were presented with more difficult problems.