cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16741444
title: Semantically enriched statewide building dataset based on the Lower Saxony 3D Building Model for urban planning applications

description: This dataset provides a semantically enriched, GIS-compatible representation of all residential buildings across the federal state of Lower Saxony, Germany. It is derived from the official statewide 3D building model (AdV-CityGML 1.0, Level of Detail 2 – LoD2), as published by the Landesamt für Geoinformation und Landesvermessung Niedersachsen (LGLN) via OpenGeoData.NI.

The original CityGML format is highly suitable for modeling detailed and hierarchically structured 3D building geometries (e.g., roof, wall, and ground surfaces). However, its complexity and nested structure pose significant challenges for geospatial processing and large-scale spatial and data analysis — particularly in open-source GIS environments or data science workflows, which typically rely on flat, tabular data structures such as Shapefiles, GeoPackages, or CSV files. Furthermore, the highly detailed 3D geometries introduce considerable computational overhead, making statewide analysis across millions of buildings prohibitively expensive in terms of processing time and hardware requirements.

To address these challenges, the original dataset was algorithmically transformed into a lightweight, analysis-ready representation. Complex 3D geometries were generalized into 2D building footprints, while key semantic attributes — including building height, roof type, usage class, and 3D surface areas — were retained in structured form. This significantly reduces data volume and enables efficient geospatial analyses even on standard computing systems.

The dataset is made available in two interoperable formats:





GeoPackage (.gpkg), which provides native 2D geometries with enriched attribute data and supports spatial operations such as overlays, buffer zones, or proximity calculations in tools like QGIS or Python (GeoPandas).




CSV (.csv), a flat tabular version containing identical attributes, with building geometries expressed as Well-Known Text (WKT), allowing seamless use in data science environments such as Python (pandas, seaborn, matplotlib), R, or Excel.



By bridging semantic richness and technical accessibility, this dataset enables full-coverage, statewide spatial analysis at scale, supporting a wide range of applications in urban planning, environmental assessment, and geospatial research.
DOI: 10.17632/bhfrz9669r
title: The Mediating Effect of Aggression in the Relationship Between Attitude Toward Sports and Digital Game Addiction

description: This dataset accompanies a study investigating the mediating role of aggression in the relationship between adolescents’ attitude toward sports and digital game addiction. Data were collected from 652 middle school students in early adolescence. The dataset includes responses to validated scales on sport-oriented attitudes, digital game addiction, aggression, and perceived academic achievement, along with demographic variables.
DOI: 10.17632/bhfrz9669r.1
title: The Mediating Effect of Aggression in the Relationship Between Attitude Toward Sports and Digital Game Addiction

description: This dataset accompanies a study investigating the mediating role of aggression in the relationship between adolescents’ attitude toward sports and digital game addiction. Data were collected from 652 middle school students in early adolescence. The dataset includes responses to validated scales on sport-oriented attitudes, digital game addiction, aggression, and perceived academic achievement, along with demographic variables.
DOI: 10.17632/rm663xttj4
title: Wing patch size predicts assortative mating but not reproductive outcomes in the Daurian Redstart Phoenicurus auroreus

description: Assortative mating, where individuals select partners based on phenotypic similarity or dissimilarity, is a common phenomenon in natural populations and plays an essential role in individual reproductive success. Although it has been studied for many years, how assortative mating influences fitness remains unclear. The Daurian Redstart Phoenicurus auroreus is a socially monogamous passerine species that exhibits pronounced sexual size dimorphism (SSD). While both sexes possess white wing patches, males have significantly larger wing patch size (WPS) than females. In this study, based on 5-year data collected from a redstart population in northeastern China, we aimed to investigate: (1) whether WPS serves as a principal trait of assortative mating in Daurian Redstarts, i.e. whether individuals prefer mates with similar or dissimilar WPS; and (2) whether the SSD of white wing patch in Daurian Redstarts affects their reproductive outcomes. We found a significant positive correlation between WPS among paired Daurian Redstarts, i.e. individuals tend to select mates with WPS similar to their own. However, we found no significant association between WPS and clutch size, brood size, or nestling body condition. This suggests that WPS-based assortative mating has no effects on reproductive outcomes in Daurian Redstarts.
DOI: 10.17632/rm663xttj4.1
title: Wing patch size predicts assortative mating but not reproductive outcomes in the Daurian Redstart Phoenicurus auroreus

description: Assortative mating, where individuals select partners based on phenotypic similarity or dissimilarity, is a common phenomenon in natural populations and plays an essential role in individual reproductive success. Although it has been studied for many years, how assortative mating influences fitness remains unclear. The Daurian Redstart Phoenicurus auroreus is a socially monogamous passerine species that exhibits pronounced sexual size dimorphism (SSD). While both sexes possess white wing patches, males have significantly larger wing patch size (WPS) than females. In this study, based on 5-year data collected from a redstart population in northeastern China, we aimed to investigate: (1) whether WPS serves as a principal trait of assortative mating in Daurian Redstarts, i.e. whether individuals prefer mates with similar or dissimilar WPS; and (2) whether the SSD of white wing patch in Daurian Redstarts affects their reproductive outcomes. We found a significant positive correlation between WPS among paired Daurian Redstarts, i.e. individuals tend to select mates with WPS similar to their own. However, we found no significant association between WPS and clutch size, brood size, or nestling body condition. This suggests that WPS-based assortative mating has no effects on reproductive outcomes in Daurian Redstarts.
DOI: 10.17632/sf88fz9zc6.3
title: Entropy Variability Factor Test

description: The proposed Entropy Variability Factor (EVF) framework can reliably detect subtle structural changes in the local irregularity of time-series data. Specifically, we hypothesize that:
Rolling Shannon entropy can serve as a sensitive local measure of disorder.
Combining this with a two-sample Z-test and an empirically derived ±2% null zone provides a robust statistical test to distinguish genuine changes from random background variation.
The EVF framework performs consistently across synthetic and real-world datasets and remains stable under a range of practical parameter settings.This shared dataincludes all MATLAB scripts and input data files used to implement the proposed Entropy Variability Factor (EVF) framework as presented in the manuscript.
The data includes:
Synthetic signals: These are generated under controlled conditions to simulate known structural patterns, constant variance scenarios (stable conditions), and abrupt variance shifts (change detection scenarios).
Real-world data: Includes a time series from publicly available COVID-19 community mobility datasets (Google Community Mobility Reports), segmented around the onset of COVID-19 to test the framework on real behavioral changes.
Contents:
1. Benchmark 1: MATLAB script demonstrating the intuitive response of rolling Shannon entropy for simple signals with known structures.

2. Benchmark 2: MATLAB script for testing the EVF framework under constant-variance conditions to establish the empirical ±2% null zone.

3. Benchmark 3: MATLAB script for detecting controlled synthetic variance shifts, showing the test’s detection performance.

4. Benchmark 4: MATLAB script for applying the EVF framework to real-world COVID-19 mobility data, including signal segmentation and test output.
5. Benchmark 5: MATLAB script for applying the EVF framework to real-world 2021 Texas power crisis -Feb-2021 data, including signal segmentation and test output.
6. Sensitivity Analysis: Scripts that systematically vary the number of histogram bins, rolling window sizes, and segment lengths to assess the framework’s robustness across realistic parameter ranges 
Notes: 
 1. All codes were developed and run using MATLAB R2022a.
 2. Some scripts and functions may require additional time to execute, especially when processing large time-series with high-resolution rolling windows and multiple bin configurations.
 3. The provided code and data have been tested for reproducibility and transparency. Users are encouraged to adjust the window size, bin count, and other parameters as needed to replicate the benchmarks or adapt the Entropy Variability Factor (EVF) test for their own datasets at different variables.
DOI: 10.15468/dl.95zgbp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parakneria malaissei)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015165-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f7cf9n7x
title: Mean tidal range in salt marsh units of Edwin B. Forsythe National Wildlife Refuge, New Jersey

description: This dataset displays the spatial variation mean tidal range (i.e. Mean Range of Tides, MN) in the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. MN was calculated as the difference in height between mean high water (MHW) and mean low water (MLW) using the VDatum (v3.5) software (http://vdatum.noaa.gov/). The input elevation was set to zero in VDatum to calculate the relative difference between the two datums. 

Biomass production is positively correlated with mean tidal range in salt marshes along the Atlantic coast of the United States of America. Recent studies support the idea that enhanced stability of the marshes can be attributed to increased vegetative growth due to increased tidal range. As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey has started a Wetland Synthesis Project to expand national assessment of  coastal change hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate their vulnerability and ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to both physical factors needs to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. EBFNWR was selected as a pilot study area.
DOI: 10.11588/duerer.online.68921144c336c
title: Loth flieht mit seiner Familie aus Sodom, https://d-nb.info/gnd/1184493855
DOI: 10.15468/dl.v9zmqb
title: Occurrence Download

description: A dataset containing 58554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-115.1647 37.65684,-115.378 37.67373,-115.4271 37.50599,-115.4504 37.61634,-115.6779 37.54731,-115.5296 37.24377,-115.7473 37.02409,-116.0185 37.27166,-115.928 36.99763,-115.9906 36.93546,-116.6995 36.9972,-116.8065 37.28315,-116.9092 37.19524,-117.0246 37.43963,-117.1808 37.52838,-117.879 37.40723,-117.9617 37.28309,-117.8731 37.28723,-117.7944 37.07732,-117.9544 37.00084,-117.9515 36.88746,-117.8227 36.66252,-117.5905 36.53221,-117.702 36.54888,-117.7001 36.33985,-117.8002 36.52408,-117.9937 36.60588,-118.0845 36.84138,-118.2462 36.70385,-118.0401 36.46577,-117.8747 35.6612,-118.1077 35.52994,-118.0064 35.30001,-118.067 35.21965,-118.7917 34.78093,-118.4387 34.71956,-117.4643 34.26589,-117.1769 34.41801,-116.4889 34.32896,-116.5167 34.16457,-116.3997 34.13626,-116.4803 34.10575,-116.3148 34.09686,-115.9023 33.67817,-115.4918 33.71225,-115.3721 33.95609,-115.2841 33.87187,-115.5649 34.39096,-115.3579 34.50802,-115.2336 34.50913,-115.1734 34.281,-115.0287 34.49015,-114.9045 34.48742,-114.8483 34.31828,-114.0637 34.52534,-113.7549 34.46349,-113.6928 34.6298,-113.9285 34.76649,-114.0439 35.11463,-113.8177 35.22367,-113.8187 35.40141,-113.7145 35.4153,-113.8815 35.71407,-114.0844 35.81357,-113.816 36.22755,-113.7161 36.52703,-113.7669 36.72443,-113.3502 36.84576,-113.2794 37.29557,-113.8386 37.20913,-113.9632 37.38364,-114.3332 37.26329,-114.575 37.38097,-114.8029 37.22457,-114.8184 37.32927,-114.9423 37.28012,-115.1626 37.47778,-115.1647 37.65684))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spinus psaltria"
 ]
}

 The dataset includes 58554 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015129-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f564wxsg99
title: Availability of essential maternal, neonatal and child health medicines and associated factors to their availability at selected high-volume public health facilities in Kampala city, Uganda: a cross-sectional study.

description: Availability of essential maternal, neonatal and child health medicines and associated factors to their availability at selected high-volume public health facilities in Kampala city, Uganda: a cross-sectional study.
DOI: 10.17632/f564wxsg99.1
title: Availability of essential maternal, neonatal and child health medicines and associated factors to their availability at selected high-volume public health facilities in Kampala city, Uganda: a cross-sectional study.

description: Availability of essential maternal, neonatal and child health medicines and associated factors to their availability at selected high-volume public health facilities in Kampala city, Uganda: a cross-sectional study.
DOI: 10.17632/99xpjdww8s.1
title: An empirical study on air transport promoting the coordinated regional economic development: A perspective of spatial interaction

description: The impact of China's civil aviation on Coordinated Regional Economic Development (CRED) is becoming increasingly significant. Constructing and validating the mechanism and effects of air transport on CRED constitutes fundamental theoretical research underpinning the strategic position of air transport. This research can provide policy implications for promoting CRED. Based on the exploratory construction of the "logical mechanism of air transport influencing CRED," this paper empirically tests theoretical hypotheses using panel data of "region-pairs" among the seven major civil aviation regions from 2008 to 2023. The results indicate that: (1) Air transport significantly promotes CRED. This conclusion remains robust after addressing endogeneity and conducting robustness checks. (2) "Spatial interactions" act as a mediating variable and represent the primary pathway for this effect. (3) Air transport significantly strengthens the diffusion effects of factor flows between regions, narrowing disparities in resource endowments. Consequently, this exerts a positive moderating effect on the relationship between air transport and CRED. (4) Regional and temporal heterogeneity analyses reveal that air transport exerts a more pronounced positive effect on CRED between the Northeast, Central-South, North China, and East China regions and other regions. However, the role of air transport in promoting CRED exhibits a gradual decline over time.
DOI: 10.17632/5pmkzpbtzt
title: Factors Influencing the Manufacturing Industry’s Pollution Emissions: Evidence from China

description: This replication package contains all the data, code, and instructions for the article "Li, Z., and Zhu, L. (2025). Factors Influencing the Manufacturing Industry's Pollution Emissions: Evidence from China. Economic Modelling."
DOI: 10.17632/5pmkzpbtzt.1
title: Factors Influencing the Manufacturing Industry’s Pollution Emissions: Evidence from China

description: This replication package contains all the data, code, and instructions for the article "Li, Z., and Zhu, L. (2025). Factors Influencing the Manufacturing Industry's Pollution Emissions: Evidence from China. Economic Modelling."
DOI: 10.15468/dl.vjtfgk
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 180 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015168-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j664hf3gxf.2
title: Data from "Exclusive Dealing and Price Outcomes: Evidence from Gas Stations"

description: The sample data used in "Exclusive Dealing and Price Outcomes: Evidence from Gas Stations" by J. Balaguer and J. Ripollés.
DOI: 10.15468/dl.qymrx8
title: Occurrence Download

description: A dataset containing 10456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrmothera campanisona)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 10456 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015166-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nd5fw3
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alticus thalassinus"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015169-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16745362
title: Microbial Contamination of Ready-to-Eat Fufu Produced from Fufu Pounding Machines in the Mampong Municipality of the Ashanti Region, Ghana"

description: This study investigated the microbial contamination of ready-to-eat fufu produced from fufu pounding machines in the Mampong Municipality of the Ashanti Region, Ghana. A total of 20 fufu samples were aseptically collected from three communities and analyzed in the laboratory for microbial load and presence of pathogens. Standard microbiological techniques were used to isolate and identify microorganisms such as Salmonella spp., Shigella spp., Klebsiella spp., Escherichia coli, and Staphylococcus aureus.

 

The results revealed that all samples had at least one of these organisms, with Shigella spp. and Staphylococcus aureus being the most frequently detected. Additionally, a structured questionnaire administered to machine operators showed poor hygienic practices, such as limited handwashing, lack of glove use, and uncovered hair during food handling.

 

The study concludes that ready-to-eat fufu from pounding machines poses a significant public health risk due to bacterial contamination. The findings call for stronger hygiene education and improved food safety measures among machine operators and food vendors.
DOI: 10.5281/zenodo.16745363
title: Microbial Contamination of Ready-to-Eat Fufu Produced from Fufu Pounding Machines in the Mampong Municipality of the Ashanti Region, Ghana"

description: This study investigated the microbial contamination of ready-to-eat fufu produced from fufu pounding machines in the Mampong Municipality of the Ashanti Region, Ghana. A total of 20 fufu samples were aseptically collected from three communities and analyzed in the laboratory for microbial load and presence of pathogens. Standard microbiological techniques were used to isolate and identify microorganisms such as Salmonella spp., Shigella spp., Klebsiella spp., Escherichia coli, and Staphylococcus aureus.

 

The results revealed that all samples had at least one of these organisms, with Shigella spp. and Staphylococcus aureus being the most frequently detected. Additionally, a structured questionnaire administered to machine operators showed poor hygienic practices, such as limited handwashing, lack of glove use, and uncovered hair during food handling.

 

The study concludes that ready-to-eat fufu from pounding machines poses a significant public health risk due to bacterial contamination. The findings call for stronger hygiene education and improved food safety measures among machine operators and food vendors.