cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gdgcvzwnrd.1
title: Wallumbilla agricultural catchment study 1982-2000 (Queensland, Australia)

description: A catchment study was established in 1983 on one of the major soil types (a brigalow brown clay) of the western Darling Downs. The objective of this 18 year duration study was to explore changes in soil water, catchment hydrology and water quality associated with different soil surface conditions i.e. tillage, stubble management, gypsum, roughness. The site was chosen to represent clay soils with high water holding capacity in the Maranoa region, where fallowing to store water for later crop growth is an essential risk management tool.
Rainfall, soil water, runoff, suspended sediment concentration, cover and all agronomic operations were monitored on four contour bay catchments. Different tillage practices and a pasture were used to create a range of soil cover and roughness conditions in order to explore functional relationships between land management, soil conditions, hydrology and water quality. This study aimed to compliment similar studies at Greenmount and Greenwood on the eastern Darling Downs.
This dataset provides benchmark data for further hydrologic and water quality studies.

Key findings
Daily runoff was determined strongly by soil water content which was strongly influenced by antecedent rainfall, water use and evaporation patterns. Surface cover and roughness had subtle influences on runoff, and a greater effect on suspended sediment concentrations. Runoff and suspended sediment movement was considerably lower under pasture than cropping.
Accumulation of soil water in fallows was inefficient, with fallow efficiencies ranging from -7 to 40% due to high evaporation and runoff losses. 
Runoff and sediment concentration were both inversely related to surface cover and total soil movement was greatly reduced by surface cover. Greater than 75% of the variance in soil movement from single events was explained by surface cover and peak runoff rate.
Differences in hydrology and water quality associated with different management (tillage) were more subtle than experienced on two similar sites on the eastern Darling Downs (Greenmount and Greenwood), mainly due to the lower levels of stubble available after winter crops due to the drier climate. Tillage (roughness) was equally influential as cover on runoff.
DOI: 10.17632/kpxrhy5tj9.2
title: Isotopic and Trace Elemental Signatures in Ancient Anthropogenic Carbonate: Refining Radiocarbon Dating Sample Selection

description: Supplemental dataset of our study. The data includes carbon and oxygen isotopes, trace elements, radiocarbon dating, as well as XRD and FTIR spectral data.
DOI: 10.17632/p3wfzhc5yh.1
title: County-Level Cropland Fragmentation in China (1990–2023): A Bidirectional Transformation Perspective

description: From a bidirectional transformation perspective, we reassess county-level cropland fragmentation in China (1990–2023).
DOI: 10.17632/x2yvv2b58p.1
title: Productive Capabilities and Trade Agreements Database (PCTAD): A Panel Dataset of Bilateral Trade Relations, 2011-201

description: This dataset provides a comprehensive framework for analyzing the relationship between productive capabilities and trade agreement formation across 95 countries from 2011 to 2017. It combines bilateral trade agreement status, productive capability measures, and sectoral productivity differentials for 8,575 unique country pairs, creating a novel resource for studying economic development and trade integration.
The database merges information from multiple authoritative sources: trade agreement indicators from the CEPII Gravity database, maritime distances from CERDI-SeaDistance, productive capability measures from UNCTAD's Productive Capabilities Index (PCI), and sectoral productivity differentials from the RPROD database. Each observation represents a bilateral country relationship in a given year, with detailed information on trade agreement status, economic capabilities, geographic distance, and productivity measures.
Key variables include:

-Binary indicators for active trade agreements
-Productive Capability Index (PCI) for both origin and destination countries
-Balassa-Samuelson effect measures capturing sectoral productivity differentials
-Bilateral maritime distances and connectivity measures
-Trade flow values and related economic indicators

This unified dataset is particularly valuable for researchers studying:

-Trade agreement formation and economic development
-Productive capability thresholds in international trade
-Regional patterns in economic integration
-Development policy and trade liberalization sequencing

The data structure allows for both cross-sectional and longitudinal analyses, providing a rich foundation for investigating how domestic economic capabilities influence international trade relations. The time period (2011-2017) represents a relatively stable era in international trade, making it ideal for studying structural relationships without the confounding effects of major global disruptions.
DOI: 10.17632/yw6xcwh9md.2
title: Supporting Data for Icelandic Riverine Freshwater Distribution, Offshore Export, and Alongshelf Connectivity

description: This dataset contains the supporting data for figures in “Icelandic Riverine Freshwater Distribution, Offshore Export, and Alongshelf Connectivity,” a manuscript for Estuarine, Coastal and Shelf Science by Michael M. Whitney (affiliated with the University of Connecticut). This study simulates Iceland’s shelf and open-ocean waters to investigate riverine freshwater distributions and transports. Tracers are applied to determine flushing times and quantify exports to the open ocean relative to downshelf transports. Results have broader relevance to Iceland’s coastal ecosystems and transports on other continental shelves. The dataset includes MATLAB data files that contain all the output data presented in the corresponding figures within the manuscript. Details about variables and units are described within the figure captions and manuscript text. Modified model code, settings, and input files are included for the Regional Ocean Model System (ROMS) application. The FORTRAN code files have the modifications for tracers that allow for decay in deep waters. The manuscript contains complete descriptions of methods, analysis, and interpretation.

List of MATLAB data files:
Figure01_data.mat
Figure02_data.mat 
Figure03_data.mat 
Figure04_data.mat 
Figure05_data.mat 
Figure06_data.mat 
Figure07_data.mat 
Figure08_data.mat 

List of modified ROMS code files:
def_info.F
mod_scalars.F
read_phypar.F
step3d_t.F
wrt_info.F
ana_passive.h
ana_psource.h

List of ROMS settings and input files:
iceland.h
roms.in
boundary2km_lonlatgrid.nc
rivers2km_with_additional_rivers_lonlatgrid.nc
grid_iceland2km_lonlatgrid.nc
iceland2km_lonlatgrid_tideforcing_M2_NA_phase010119.nc
initial2km_lonlatgrid_yearend_dyes.nc
windforcing2km_lonlatgrid.nc
DOI: 10.17632/2wyc8c6m53.1
title: LINF_040015900

description: TCF25-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/jdkgjszfc5.1
title: Cellular dsRNA interactome captured by K1 antibody reveals the regulatory map of exogenous RNA sensing

description: Unprocessed gel image data for "Cellular dsRNA interactome captured by K1 antibody reveals the regulatory map of exogenous RNA sensing" by Lim et al.
DOI: 10.17632/pjmh2rxwxz.1
title: LINF_040016300

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/s2cvcs37xb.1
title: Data on forage mass production, crude protein yield and methane emission reduction potential of tropical forage options for crop-livestock systems in Ethiopia

description: Tropical forages have the potential to enhance livestock productivity and simultaneously limit the growing enteric methane emissions from ruminant livestock in countries in eastern African countries where emission per unit livestock product is high largely due to poor nutrition. This dataset was compiled from field experiments and laboratory analyses conducted at 2 sites representative of highland crop-livestock farming systems with contrasting edapoclmatic conductions in Ethiopia from 2021 to 2023. The study compared the effect of different tropical forage crops on forage production (quantity and quality) and methane production. These forage crops were selected based on their performance at other sites with similar environmental conditions, and international and local experts’ opinion. The data provide information on seasonal herbage yields and cumulative forage mass production; chemical composition and crude protein yield. The dataset also includes methane production (g/kg incubated dry matter) and proportion of methane to total gas production potential of the tested crops. It consists an excel file in raw format. This dataset can be valuable for extension officers, policy makers and researchers seeking to develop new source of feed to balance livestock productivity with environmental sustainability in Ethiopian highlands.
DOI: 10.17632/sjwjn276hw.1
title: Reducing Active Commuters’ Exposure to Traffic Air Pollution, Noise, and Urban Heat Through Urban Green Space: A Scoping Review

description: The study aims to identify global trends in UGS studies and their effectiveness in reducing active commuters’ exposure to Traffic-related air pollution (TRAP), Traffic noise (TN), and Urban heat island (UHI). The data show the number of previous studies that have assessed the significant impact of green spaces in reducing TRAP, TN, and UHI.
DOI: 10.17632/kd994sftcs.1
title: Transcriptome of human pancreatic ductal cell line (HPDEC/H6C7) at different pH

description: Transcriptome of human ductal cell line (HPDEC/H6C7) at different pH
DOI: 10.17632/vgbfzz5pdg.1
title: Supply Shocks, Inflation Expectations and Second-Round Effects

description: Data used for the paper "A Note on Supply Shocks, Inflation Expectations and Second-Round Effects"
DOI: 10.17632/8b7cy856x2.1
title: Supplemental Data - Novel Therapeutic Approach Targeting CXCR3 to Treat Immunotherapy Myocarditis

description: Flow cytometry data for "Novel Therapeutic Approach Targeting CXCR3 to Treat Immunotherapy Myocarditis"
- CXCR3 Blockade transwell assay
- CD49d expression after CXCL9/10 Stimulation assay
- Cardiomyocytes apoptosis assay
- anti-PD1/CTLA-4 Immunotherapy Model
- 10-02-23 in Vitro rmCXCL9 rmCXCL10
- 9-21-23 in Vitro CXCL9 CXCL10 Blockade

Automated Quantification Script
imagej-script.txt
DOI: 10.17632/nsvx7f9z5h.1
title: Characterizing a Novel Medical Student-Focused Dermatology Research Initiative: A Comprehensive Analysis of the Brigham and Women’s Hospital Dermatologic Symposium 2021-2024

description: Supplemental Figure I: This infographic provides an overview of the Brigham and Women’s Hospital Dermatology Medical Student Virtual Symposium (DMSVS). It outlines the key components of the event, including its structure, research categories (such as medical, surgical, pediatric dermatology, dermatopathology, and more), and the submission process. It also highlights the specific features of the symposium, such as the plenary talks, interactive poster sessions, and spotlight presentations by faculty members. The infographic emphasizes the event's focus on fostering research engagement among medical students in dermatology.

Supplemental Figure II: This figure presents the survey administered to participants of the DMSVS. The survey aims to collect demographic information, gather feedback on participants' experiences, and assess the symposium’s impact on their professional development. It includes questions about how attendees learned about the event, their motivations for participation, any barriers they faced in presenting dermatology research, and their overall experience with the symposium. The results provide valuable insights into the demographics of the participants and their feedback for future symposium improvements.
DOI: 10.17632/x26px3xnmy.1
title: Cauliflower Dataset

description: The dataset comprises images of cauliflower plants classified based on the various diseases attacking them. The dataset is meant for applications in plant disease classification and prediction methods. It is aimed at helping plant pathologists and farmers to identify the diseases affecting cauliflower at an early stage, thus preventing their occurrence.

The dataset comprises of images of cauliflower and leaves which fall into six classes:
A. Cauliflower Categories:
1. Alternaria Brassicae
2. Bacterial Soft Rot
3. Bacterial Spot
4. Black Rot
5. Healthy
6. Purple Tinges

B. Leaf Categories:
1. Alternaria Leaf Spot
2. Downy Mildew
3. Healthy

Images are collected from a variety of sources including publicly available agricultural datasets and field captures.
The dataset has been preprocessed and labeled to ensure accurate classification.
DOI: 10.17632/r5d8fjj7pp.1
title: ecommerce research

description: This is a stata dta file containing the MELI and EBAY stock data
DOI: 10.17632/shs97w8jtb.1
title: Behavioral Risk Factor Surveillance System (BRFSS)

description: These BRFSS datasets were downloaded prior to them being taken offline on January 31st, 2025. Special thanks to James Bailey & Doug Livingston who made earlier years of BRFSS data available! 

Data 2000-2023 are provided in SAS, Stata, and R formats. Data for 1987-1999 are provided in CSV format.

This repository has a DOI assigned if you need to cite it.
DOI: 10.17632/z282pw22sd.1
title: The peroxiredoxin Tsa1 extends the lifespan of budding yeast by maintaining the stability of the ribosomal RNA gene cluster
DOI: 10.17632/z282pw22sd.2
title: The peroxiredoxin Tsa1 extends the lifespan of budding yeast by maintaining the stability of the ribosomal RNA gene cluster

description: Raw data for "The peroxiredoxin Tsa1 extends the lifespan of budding yeast by maintaining the
stability of the ribosomal RNA gene cluster".
DOI: 10.17632/px3xtbw574.1
title: Sustainable facility management practices among hospitals

description: This data was gathered from public hospitals in Ghana to assess their level of sustainability practices comprising environmental, social, and economic sustainability. It also covers the aspects of compliance and innovation and technology.
DOI: 10.17632/jppkxvy5w9.1
title: Replication Package for "Announcements, Expectations, and Stock Returns with Asymmetric Information"

description: Replication Package for "Announcements, Expectations, and Stock Returns with Asymmetric Information" ,
Journal of Monetary Economics
- This package contains the codes for numerical solutions of the dynamic model and simulation results. 
- Replication procedures and codes for all empirical exercises can be found at Leyla Han's personal website: https://www.leylahan.com
DOI: 10.17632/59d4xm9zvm.1
title: Engagement Inventory EFA 2019 Ossio

description: Data collected for the pilot and Exploratory Factor Analysis for a new inventory to measure employee engagement (in Spanish). The items are 5 point likert were made to measure four dimensions of engagement proposed by Kahn (1992): Attentiveness (items 1-7), Conection (8-19), Integration (20-24), and Focus (25-36). Reverse items are: 12, 13, 14, 19 (already reversed in the dataset). Missing values = 999. 215 responses collected on paper in 2019.
DOI: 10.17632/6h29j57hhx.1
title: Complement C3a and C5a Receptors are Differentially Presented in Mouse Sciatic and Human Sural Nerves and Selectively Modulate the Neuronal Function of Large-Caliber Fibers in Mice SB

description: Electrophysiology data
DOI: 10.17632/t2h7j69hkw.1
title: Oncolytic Viral Therapy for Non-Melanoma Skin Cancers and Cutaneous Lymphomas – A Systematic Review

description: Supplementary Material 
Appendix A: Standardized form for data extraction for eligible studies 
Appendix B: Quality Assessment of Included Studies 
Appendix C: Standardized form for data extraction for clinical trials 
Appendix D: List of References for Included Studies
DOI: 10.17632/hpt5nytvhb.1
title: sparse reconstruction method

description: The D_V_BTT folder contains the code for the method proposed in this paper, which includes the construction of the sensing matrix based on both displacement and velocity information, along with the non-convex optimization algorithm.
The D_BTT folder contains the code for the displacement-based method, which also utilizes the same non-convex optimization algorithm.
The V_BTT folder contains the code for the velocity-based method, again using the same non-convex optimization algorithm.
The Comparison with D-BTT and V-BTT folder includes the spectral data reconstructed by all three methods for different vibration orders, along with the plotting scripts.
It is important to note that, due to the manuscript not being officially published yet, we are currently only able to share part of the code. This part includes the key components for constructing the compressed sensing matrix using displacement and velocity information, along with the sparse reconstruction algorithm. The code for extracting the blade tip displacement and velocity from the waveforms will be made available after the manuscript is officially accepted for publication.
DOI: 10.17632/z6c3n8v97f.1
title: Dataset on the Customer Satisfaction on Economic Empowerment Programs among Marginalized Community in Malaysia

description: The dataset was derived from a time cross-sectional empirical survey to assess customer satisfaction with the implementing partners of economic empowerment programs. The survey targeted 290 microentrepreneurs in Malaysia, with 268 valid responses. The questionnaire was developed using scales grounded in existing literature, encompassing dimensions such as customer satisfaction, assurance, empathy, reliability, responsiveness, Shariah compliance, and tangibility. Reliability and validity tests confirmed that the measurement items were appropriate
DOI: 10.17632/z6c3n8v97f.2
title: Dataset on the Customer Satisfaction on Economic Empowerment Programs among Marginalized Microentrepreneurs Community in Malaysia

description: The dataset was derived from a time cross-sectional empirical survey to assess customer satisfaction with the implementing partners of economic empowerment programs. The survey targeted 290 microentrepreneurs in Malaysia, with 268 valid responses. The questionnaire was developed using scales grounded in existing literature, encompassing dimensions such as customer satisfaction, assurance, empathy, reliability, responsiveness, Shariah compliance, and tangibility. Reliability and validity tests confirmed that the measurement items were appropriate
DOI: 10.17632/z6c3n8v97f.3
title: Dataset on the Customer Satisfaction on Economic Empowerment Programs among Marginalized Microentrepreneurs Community in Malaysia

description: The dataset was derived from a time cross-sectional empirical survey to assess customer satisfaction with the implementing partners of economic empowerment programs. The survey targeted 290 microentrepreneurs in Malaysia, with 268 valid responses. The questionnaire was developed using scales grounded in existing literature, encompassing dimensions such as customer satisfaction, assurance, empathy, reliability, responsiveness, Shariah compliance, and tangibility. Reliability and validity tests confirmed that the measurement items were appropriate
DOI: 10.17632/z6c3n8v97f.4
title: Dataset on the Customer Satisfaction on Economic Empowerment Programs among Marginalized Microentrepreneurs Community in Malaysia

description: The dataset was derived from a time cross-sectional empirical survey to assess customer satisfaction with the implementing partners of economic empowerment programs. The survey targeted 290 microentrepreneurs in Malaysia, with 268 valid responses. The questionnaire was developed using scales grounded in existing literature, encompassing dimensions such as customer satisfaction, assurance, empathy, reliability, responsiveness, Shariah compliance, and tangibility. Reliability and validity tests confirmed that the measurement items were appropriate
DOI: 10.17632/dnfx7b2g9s.1
title: Engagement inventory CFA 2020 Ossio

description: Data collected for the Confirmatory Factor Analysis for a new inventory to measure employee engagement (in Spanish). The items are 5 point likert were made to measure four dimensions of engagement proposed by Kahn (1992): Attentiveness (items 1-4), Conection (5-7), Integration (8-13), and Focus (14-16). Reverse items are: 5, 6, 7 (already reversed in the codified sheet). Missing values = 999. 541 responses collected on Surveymonkey.com in 2020.
DOI: 10.17632/73n3kz2k4k.1
title: Panoramic Dental Xray Dataset

description: This dataset consists of 107 panoramic dental radiography images 107 images of size 2964 × 1464. All data were obtained from two dental clinics on Sidi Bouzid, Tunisia. This dataset is used as the basis for master's project "Automatic Tooth Instance Segmentation
and Identification From Panoramic X-Ray Images Using Deep CNN"
DOI: 10.17632/73n3kz2k4k.2
title: Panoramic Dental Xray Dataset

description: This dataset consists of 107 panoramic dental radiography images 107 images of size 2964 × 1464. All data were obtained from two dental clinics on Sidi Bouzid, Tunisia. This dataset is used as the basis for master's project "Automatic Tooth Instance Segmentation
and Identification From Panoramic X-Ray Images Using Deep CNN"
DOI: 10.17632/73n3kz2k4k.3
title: Panoramic Dental Xray Dataset

description: This dataset is divided into three distinct parts:

The first part includes 107 images, each with a resolution of 2964 × 1464 pixels, accompanied by annotations enabling tooth instance segmentation.

The second part contains 60 images, each with a resolution of 1024 × 512 pixels, annotated with the following classes: canine, central incisor, first molar, first premolar, lateral incisor, second molar, second premolar, and third molar.

The third part consists of 54 high-resolution panoramic radiographs, each with a resolution of 2888 × 1309 pixels.

The first two parts were acquired using the Orthoralix 9200 system (70 kV, 8 mA, and a 0.5 mm focal point). In contrast, the third part was obtained using the Dentio III digital panoramic and cephalometric imaging equipment (50-90 kV, CMOS sensor).

This dataset is used in a project aimed at leveraging deep convolutional neural networks (CNNs) to automate the segmentation and identification of teeth in panoramic dental radiographs.

When using this dataset, please cite the following two papers:

Brahmi, W., Jdey, I., & Drira, F. (2024). Exploring the role of Convolutional Neural Networks (CNN) in dental radiography segmentation: A comprehensive Systematic Literature Review. Engineering Applications of Artificial Intelligence, 133, 108510.

Brahmi, W., & Jdey, I. (2024). Automatic tooth instance segmentation and identification from panoramic X-Ray images using deep CNN. Multimedia Tools and Applications, 83(18), 55565–55585.
DOI: 10.17632/29fbd2nn4x.1
title: Supplementary file 2. Granulosa cell proteomics from Silva et al., 2025 JDS

description: Supplementary file 2 from manuscript by Silva et al., 2025 in Journal of Dairy Science, titled: "Omega-3 fatty acids supplementation from late pregnancy to early lactation attenuates the endocannabinoid system and immune proteome in preovulatory follicles and endometrium of Holstein dairy cows" by P. dos S. Silva, Y. Butenko, G. Kra, S. Malitsky, M. Itkin, Y. Levin, U. Moallem, and M. Zachut. Volcani Institute, Israel. 
The proteomic analysis was of granulosa cells collected from pre-ovulatory follicles of dairy cows that were supplemented from late pregnancy to early lactation with omega-3 fatty acids. The follicular aspiration was conducted at 58 days in lactation. The data presents the differential proteins between controls (fed saturated fat) and cows supplemented with omega-3.