cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kwydrvscym
title: Southeast Texas Networked Flood Monitoring Sensors

description: Floods are common natural disasters worldwide and pose substantial risks to life, property, food production, and natural resources. Effective measures for flood mitigation and warning are important. Southeast Texas is still at substantial risk of flooding and Lamar University is assisting the region with asset management of a flood sensor network for flooding events. This network provides real-time water stage information. To make these data more useful for flood monitoring and mapping, Lamar University developed a program to measure elevation and coordinates for the various sensor locations. This paper overviews the measurement of the elevation and coordinates of 74 networked flood sensors and various thresholds at critical points used by flood decision-makers for reference at each site. These sensors, in the first phase of this program, were deployed throughout a 7-county region spanning nearly 6000 square miles in Southeast Texas. The latitude and longitude of the sensors, along with their elevations, were determined using survey-grade Global Navigation Satellite System (GNSS) technology. This is an accurate, rapid, and relatively low-cost surveying method. Various Continually Operating Reference Stations (CORS) were examined during post-processing to achieve the most accurate horizontal and vertical results. After differential corrections were applied, accuracies of 0.4 in. (or better) were achieved. Each site's critical points and thresholds were also established using this method. The thresholds, elevations, and positions of these sensors and their surrounding critical points are transmitted to various dashboards on websites. These data are used to aid with decisions related to road closures or modeling efforts by mitigation decision-makers, emergency managers, and the public, including the Texas Department of Transportation, Houston Transtar, the National Weather Service, and the Sabine River Authority of Texas (SRA). This data may also be used in the development of flood hydrological models in Southeast Texas watersheds and sub-basins. This program currently involves the Flood Coordination Study team which is part of the Center for Resiliency at Lamar University in collaboration with various entities such as the U.S. Department of Homeland Security Science and Technology Directorate, the Southeast Texas Flood Control District, and various other regional agencies, municipalities, and industries.
DOI: 10.6084/m9.figshare.14632665.v2
title: Psychological Factors Affecting Dietary Habits of University Students: a cross-sectional study

description: A cross-sectional study was conducted among 529 students at the University of Sharjah. Participants completed a self-administered questionnaire on dietary habits, and psychological factors. The height and weight of the students were also measured, and the body mass index (BMI) was calculated.
DOI: 10.6084/m9.figshare.22682611.v2
title: SpatialcoGCN_data

description:  The simulated ST data for  <strong>SpatialcoGCN.</strong>
DOI: 10.6084/m9.figshare.29162648.v1
title: Questionnaire items （250528）

description: The application of AI technology has improved the allocation efficiency of marketing resources for enterprises and platforms, driving the continuous evolution of their marketing strategies. However, there are significant differences in academic views regarding the impact of AI technology application on consumers' purchase intention.
DOI: 10.17632/7wcmg4bv6z
title: Examination of Carbon Dioxide Emissions and Renewables in Southeast Asian Countries Based on a Panel Vector Autoregressive Model

description: Data and econometrics method for the paper called "Examination of Carbon Dioxide Emissions and Renewables in Southeast Asian Countries Based on a Panel Vector Autoregressive Model", what is accepted for publication in the Journal of Cleaner Production.
DOI: 10.17632/f39n2kpk79
title: MATLAB/HOMER Polygeneration HESS link

description: The files attached contain a model coupling MATLAB and HOMER in order to optimize small-scale polygeneration systems for minimum lifetime costs. A publication draft titled "Techno-economic optimization model of polygeneration hybrid energy storage systems using biogas and batteries" has been submitted, where the model is further explained. The dataset contains: - 4 ".homer" files, which start the execution of the model. 2 are for the optimal polygeneration case, 2 are for the reference case. - 3 ".m" matlab files containing the Matlab code, where a significant part of the model is computed. - 2 Excel files: 1 containing electricity demand data, 1 containing biomass availability data.
DOI: 10.17632/m8g5cf5bvp
title: Dataset of WhatsApp Publication (2012-2019)

description: The WhatsApp research & publication dataset, which was indexed by Scopus from 2012 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.6084/m9.figshare.12554648.v2
title: Supporting data of genome assembly of the black tiger shrimp (Penaeus monodon)

description: The black tiger shrimp, <i>Penaeus monodon</i> (Fabricius, 1798) is a valuable commercial marine species in the inshore region of India Ocean and Southeast Asia. Even with extensive application of sequencing, genome resources are still lack in shrimp because of high heterozygosity and extremely high proportion of repeat sequences. In this study, the genome assembly of the black tiger shrimp was constructed in a hybrid strategy with Pacbio long reads and Illumna short reads. The contig N50 and scaffold N50 of the preliminary assembly were 116.8 kb and 268.5 kb, respectively. The scaffolds were anchored into chromosome-level assembly with Hi-C. The chromosome-level assembly was 2.1 Gb, accounting for 90.2% of the estimated genome size, and consisted of 53.7% of repeat sequences. A total of 29,387 protein-coding genes were predicted, 75.6% of which were successfully annotated with putative function. Furthermore, divergence between the black tiger shrimp and Pacific white shrimp was estimated to be 2.79 million years ago. And the population size of black tiger shrimp had been increasing since 50,000 years ago. This assembly is the second chromosome-level assembly in shrimp, and will be a valuable genomic resource for conservation and breeding studies of the black tiger shrimp in the future research.
DOI: 10.6084/m9.figshare.19750330.v1
title: Datasets of experiments on the sediment transport along pool-riffle unit

description: The data repository includes the data of bed surface grain size, grain size of sediment mixture, sediment transport, bedload texture, flow, and particle dispersions.
DOI: 10.6084/m9.figshare.28815137.v1
title: The USP8 Mutational Status in Combination with Postsurgical Cortisol Levels for Predicting Recurrence of Cushing Disease

description: Figure 1S. Receiver-operating characteristic curve comparing postsurgical MSC, LNSC, 1 mg DST, ACTH, and 24h UFC
DOI: 10.6084/m9.figshare.8235491.v1
title: 3D dataset.zip

description: This dataset contains 3D gene expression patterns in Drosophila blastoderm embryos. The pattern is from reporter constructs where LacZ driven by the Hunchback P2 enhancer or a variant, or where potential regulators of Hunchback P2 have been perturbed by RNAi.
DOI: 10.6084/m9.figshare.26063092.v1
title: Data for Modelling paper.xlsx

description: This study investigates the accurate model for predicting the impact of recycled concrete aggregates (RCA) on the mechanical properties of self-compacted geopolymer concrete (SCGC). According to the experimental results, linear regression and Artificial Neural Networks (ANN) models were developed to study the impact of RCA rate and treatment on the mechanical properties of SCGC mixes.
DOI: 10.6084/m9.figshare.27170211.v2
title: <b>Moderate </b><b>drought constrains </b><b>crop growth without altering soil organic carbon dynamics in perennial cup-plant and silage maize</b>_MetaData_Abdalla et al. 2024_GCB Bioenergy.xlsx

description: The data collected about our scientific publication at GCB Bioenergy under titled "<b>Moderate </b><b>drought constrains </b><b>crop growth without altering soil organic carbon dynamics in perennial cup-plant and silage maize"</b>
DOI: 10.17632/pz735r8rw5
title: DADOS E MATERIAL: Artigo Turismo, stakeholders e fluxo informacional: panorama bibliométrico de pesquisa

description: Os conjuntos de dados gerados e/ou analisados durante o presente estudo.
DOI: 10.17632/w33vbvjtdy
title: MTBF-33: A multi-temporal building footprint dataset for 33 U.S. counties at annual resolution (1900-2015)

description: We collected open and publicly available data resources from the web from administrative, county- or state-level institutions in the United States and integrated and harmonized cadastral parcel data, tax assessment data, and building footprint data for 33 counties, where building footprint data and building construction year information was available. The result of this effort is a unique dataset which we call the Multi-Temporal Building Footprint Dataset for 33 U.S. Counties (MTBF-33). MTBF-33 contains over 6.2 million building footprints including their construction year, and is available in ESRI Shapefile format, and in two spatial reference systems: (a) WGS84 (EPSG:4326), and (b) NAD1983 Albers Conic Equal Area Projection (EPSG:5070; aka ESRI:102039 or SR-ORG:7480), organized per county.
We compared the MTBF-33 dataset quantitatively to other building footprint data sources, achieving an overall F-1 score of 0.93. Moreover, we compared the MTBF-33 dataset qualitatively to urban extents from historical maps and find high levels of agreement.
The MTBF-33 dataset can be used to support historical building stock assessments, to derive retrospective depictions of built-up areas from 1900 to 2015, at fine spatial and temporal grain and can be used for data validation purposes, or to train statistical learning approaches aiming to extract historical information on human settlements from remote sensing data, historical maps, or similar data sources.

Data sources:
Boulder County (Colorado) Open Data Catalog / Florida Geographic Data Library / Hillsborough County, Florida / City of Tampa / Manatee County, Florida / Sarasota County, Florida / City of Evansville, Vanderburgh County, Indiana / Baltimore County Government, Maryland / Bureau of Geographic Information (MassGIS), Commonwealth of Massachusetts, Executive Office of Technology and Security Services / City of Boston / MetroGIS, Minnesota Geospatial Commons, Minnesota Geospatial Information Office, Anoka County, Carver County, Dakota County, Hennepin County, Ramsey County, and Washington County, Minnesota / Monmouth County, New Jersey / City of New York / Mecklenburg County, North Carolina. Data scraping was performed in 2016.
DOI: 10.6084/m9.figshare.17109338.v1
title: count-data-heart-annotated.rds

description: tissue-specific single-cell read count data showing the changes with parabiosis
DOI: 10.17632/pcggh2rzm3
title: In-Shoe Plantar Shear Stress Sensor Design, Calibration and Evaluation for the Diabetic Foot.

description: This is the data repository for the raw, anonymised dataset of the study regarding in-shoe plantar shear stress sensor design, calibration and evaluation for the diabetic foot. This work was partially funded by Engineering and Physical Sciences Research Council (EPSRC) grant number EP/W00366X/1. This study was supported by the National Institute for Health and Care Research Exeter Biomedical Research Centre. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. The study received approval from the NHS Health Research Authority and Health and Care Research Wales (HCRW) Ethics Committee (REC reference: 22/NW/0216), and all participants provided written consent. Trial Registration number: NCT05865353.
DOI: 10.6084/m9.figshare.1112572.v1
title: Establishment of a rat model of portal vein ligation combined with in situ splitting

description: <strong>Establishment of a rat model of portal vein ligation combined with in situ splitting</strong> The higher HRR in the PVL+ISS compared with the PVL confirmed that we had successfully established a PVL+ISS model in rats. <strong><br></strong>
DOI: 10.6084/m9.figshare.13336793.v1
title: COREQ Checklist for factors influencing non-adherence to opioids in cancer patients.pdf

description: Factors influencing non-adherence to opioids in cancer patients: a mixed-methods cross-sectional study
DOI: 10.6084/m9.figshare.1404239.v1
title: S5 Table. Principal components analysis

description: Principal components analysis
DOI: 10.6084/m9.figshare.21821913.v2
title: Author citation data

description: The database consist of 235,749 Google Scholar links (different authors), with their metadata: list of citation to each of their articles - "<strong>citations</strong>" number of publications - "<strong>Npub</strong>" total number of citations - "<strong>Ncit</strong>" gini coefficient - "<strong>gini</strong>" Hirsch index - "<strong>h-index</strong>" Kolkata index - "<strong>k-index</strong>" The data is organized into a json file. <br> Example of loading data: data = json.load(open("google_scholar.json")) key = "https://scholar.google.com/citations?user=1fatN9EAAAAJ&hl=en&oe=Latin2" citations = json.loads(data[key]["citations"]) Npub = data[key]["Npub"] Ncit = data[key]["Ncit"] gini = data[key]["gini"] h_index = data[key]["h-index"] k_index = data[key]["k-index"]
DOI: 10.6084/m9.figshare.23531107.v1
title: Electron transfer processes associated with structural Fe in clay minerals

description: Fe-bearing clay minerals are widely distributed in soils, sediments, and rocks, representing a significant Fe pool in the Earth’s crust. The electron transfer (ET) from/to structural Fe in clay minerals is a crucial electron and energy flux in the natural environment, which drives numerous biogeochemical processes and contaminant transformation. Depending on the types and properties of both clay minerals and exogenous reactants as well as aqueous chemistry, the ET processes could involve interfacial ET through edge/basal planes and interior ET inside clay minerals. This paper reviews the important ET reactions between Fe-bearing clay minerals and various reactants, including Fe-cycling microbes, redox-active organic compounds, and heavy metals. Moreover, we discuss the physical-chemical mechanisms of interfacial and interior ET processes and develop models to illustrate the thermodynamic and kinetic constraints on the ET rate and extent. On this basis, we emphasize the environmental implications of ET associated with clay minerals, such as their roles in serving as biogeobatteries for biogeochemical processes and contaminant transformation, coevolution with microbes, and regulation of greenhouse gas formation. Finally, research needs are proposed to advance our molecular-scale understanding of ET processes and utilize them for environmental mitigation and human health.
DOI: 10.17632/jkjw83rtmh
title: Data for Button (2019) Do tax incentives affect business location and economic development? Evidence from state film incentives

description: Data for Button, Patrick. 2019. "Do tax incentives affect business location and economic development? Evidence from state film incentives." Regional Science and Urban Economics, 77, 315–339. https://doi.org/10.1016/j.regsciurbeco.2019.06.002 This includes code and the data that I can share publicly. I can share everything except the individual-level IMDb and Studio System data. The IMDb data should be publicly available but to access it you have to agree to specific terms.
DOI: 10.17632/p7cg3pgfs3
title: Replication Files: Impact of Air Pollution on Cognitive Performance: Evidence from a Natural Experiment

description: Air pollution affects respiratory health, the central nervous system, and cognitive development, which may in turn affect student performance on standardized tests. To estimate the causal relationship between air pollution and students’ test scores, I use the collapse of I-35W Mississippi River Bridge in Minneapolis, Minnesota as a natural experiment which lead to a year-long improvement in air quality for nearby schools. Using a Two-way Fixed Effects (TWFE) model as well as a Synthetic Difference-in-Differences model, I do not find any evidence that improved air quality lead to improved test scores, which suggests that test-day exposure to air pollution may have a distinct cognitive effect compared to long-term exposures.
DOI: 10.6084/m9.figshare.1439301.v1
title: MS in COPD

description: Database for published study. Contact for more info or how to interpret it.
DOI: 10.17632/my4t9yt4y5
title: Imaginary time propagation code for large-scale two-dimensional eigenvalue problems in magnetic fields

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We present a code for solving the single-particle, time-independent Schrödinger equation in two dimensions. Our program utilizes the imaginary time propagation (ITP) algorithm, and it includes the most recent developments in the ITP method: the arbitrary order operator factorization and the exact inclusion of a (possibly very strong) magnetic field. Our program is able to solve thousands of eigenstates of a two-dimensional quantum system in reasonable time with commonly available hardware. Th... Title of program: itp2d Catalogue Id: AENR_v1_0 Nature of problem Numerical calculation of the lowest energy solutions (up to a few thousand, depending on available memory), of a single-particle, time-independent Schrödinger equation in two dimensions with or without a homogeneous magnetic field. Versions of this program held in the CPC repository in Mendeley Data AENR_v1_0; itp2d; 10.1016/j.cpc.2012.09.029
DOI: 10.6084/m9.figshare.21586065.v1
title: TCS.tar.gz

description: EukProt v3 TCS dataset
DOI: 10.6084/m9.figshare.26403829.v1
title: Appendix 3. Maps to Riches.xlsx

description: Appendix 3 and Mass Balance Model for Chapter 3 Maps to Riches.
DOI: 10.6084/m9.figshare.27987716.v3
title: Orange cup coral (<i>Tubastraea coccinea</i>) genome

description: Coral reefs are among the most biodiverse and economically significant ecosystems worldwide, yet they are rapidly degrading due to global climate change and local human activities. The sun coral <i>Tubastraea coccinea</i> are obligate heterotroph, which lack the symbiotic algae known as zooxanthellae. With the ability to tolerate conditions that produce bleaching and mortality in zooxanthellate species, <i>T. coccinea</i> were widespread, low-latitude distribution in multiple oceans. As highly invasive species, <i>T.coccinea </i>have been reported to establish and spread in ways that negatively affect native species, harm the local environment and cause social impacts that require management actions. Despite concentrated efforts to comprehend the biology of these organisms, they remain insufficiently explored at the molecular level. To comprehend its genetic structure, facilitate future conservation efforts, and manage and control this invasive species, we generated a draft genome assembly of <i>T. coccinea</i> using PacBio Hi-Fi long reads. The resulting assembly has a total size of 875.9 Mb and a scaffold N50 of 694.3 kb. Additionally, BUSCO analysis produced a completeness score of 97.4%. A total of 37,307 protein-coding sequences were identified, with 95.2% functionally annotated through comparisons with established protein databases. This reference genome serves as an important resource for comprehensive investigations into the adaptive strategies of corals in response to environmental changes.
DOI: 10.6084/m9.figshare.28928273.v1
title: Harmonic Shell Structures in MaDCoWS2 Clusters: Empirical Validation of Oscillatory Field Genesis (OFG)

description: This dataset contains the first empirical validation of Oscillatory Field Genesis (OFG), a novel framework proposing that cosmic structures emerge from interactions between a curvature-memory field (Φ) and coherence-phase field (Θ). Analyzing 22,971 galaxy clusters from MaDCoWS2 DR2, we demonstrate: 

- **Harmonic shell spacings** (λ = 2π/|∇Φ·∇Θ|) in high-z clusters (z ≥ 1.5) 
- **Phase-locked redshift distributions** via Lomb-Scargle periodograms 
- **Predictive templates** for LSST void lensing (Δκ ≥ 0.5) and SPHEREx spectral harmonics 

Includes: 
- Cluster spacing histograms (`Cluster_Spacing_Histogram.csv`) 
- Redshift-phase coherence data (`theta_oscillation_peaks.csv`) 
- High-z cluster catalog (`High-Redshift_Cluster_z.csv`) 
- Full analysis code (Python/Jupyter) <br><br>Related Publications**: 
 - Gonzalez et al. (2024) MaDCoWS2 DR2 Catalog (ApJ, 967, 123) 
 - OFG Theoretical Framework (J.D.S. 2025, DeepSeek-verified) 
- **Tools Required**: Python 3.10+, NumPy, Pandas, Astropy 
- **Experiment Type**: Observational/Cosmological Simulation
DOI: 10.6084/m9.figshare.6473873.v1
title: PHEME dataset Preprocessed for Multitask Learning for Rumour Verification

description: This is pre-processed data to be used with the code https://github.com/kochkinaelena/Multitask4Veracity<br>This is code and preprocessed data for models described in "All-in-one: Multi-task Learning for Rumour Verification" Elena Kochkina, Maria Liakata, Arkaitz Zubiaga
DOI: 10.17632/3vsmmhhrtp
title: Codes for the article “Predicting your children's returns to schooling”, Portuguese Economic Journal, version for revise and resubmit.

description: These codes help to replicate all the empirical analysis in the article: “Predicting your children's returns to schooling”, Portuguese Economic Journal, revise and resubmit. It helps to replicate all the main results tables: Tables 6, 7, 8, 9, 10, 11, A.3, A.4, A.5, A.6 and A.7. It also includes the GMM estimator function used to obtain the results.

This research used The Beginning School Study, 1982--2002 (Log# 01293) dataset (made accessible in 2004, numeric data files). These data were collected by Karl L. Alexander and Doris R. Entwisle and are available through the Henry A. Murray Research Archive of the Institute for Quantitative SocialScience at Harvard University, Cambridge, Massachusetts (Producer and Distributor).
DOI: 10.17632/sf9x4h5jfk
title: Meteorological indicator dataset for selected European NUTS 3 regions

description: The harmonization of data granularity in spatial and temporal terms is an important pre-step to any econometric and machine learning applications. Researchers, who wish to statistically test hypotheses on the relationship between agro-meteorological and economic outcomes, often observe that agro-meteorological data is typically stored in gridded and temporally detailed form, while many relevant economic outcomes are only available on an aggregated level. This dataset intends to aid empirical investigations by providing a dataset with monthly meteorological indicators on a European NUTS 3 regional level for 13 countries for the period from 1989 to 2018. We created this dataset from daily data in a grid of 25km x 25km provided by the Joint Research Centre of the European Commission. We matched the map with the raw data to a map with the administrative boundaries of European NUTS3 regions. After appropriately weighting, we calculated the monthly, regional mean, variance and kurtosis of the following variables: daily maximum, minimum, average air temperature in degrees Centigrade, sum of precipitation in mm per day and snow depth in cm. We report the covariance between the average temperature and the precipitation as well.