cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wft6gkhdyw
title: A Geotemporospatial and Causal Inference Epidemiological Exploration of Substance and Cannabinoid Exposure as Drivers of Rising US Pediatric Cancer Rates - Dataset

description: Data support a paper of this title: A Geotemporospatial and Causal Inference Epidemiological Exploration of Substance and Cannabinoid Exposure as Drivers of Rising US Pediatric Cancer Rates Data represent a compilation of various data inputs from numerous sources including the National Cancer Institute SEER*Stat National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database: NPCR and SEER Incidence – U.S. Cancer Statistics Public Use Research Database, 2019 submission (2001-2017), United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Released June 2020. Available at www.cdc.gov/cancer/public-use program; the National survey of Drug Use and Health conducted by the Substance Abuse and Mental Health Services Administration; and the US Census bureau. Data also include inverse probability weights for cannabis exposure. Data also include their geospatial linkage network constructed for all US states which makes Alaska and Hawaii spatially connected to the contiguous USA. Data also include the R script used to conduct and prepare the analysis.
DOI: 10.6084/m9.figshare.13725970.v1
title: Supplementary Figure – D614 vs N501 ( SARS-COV-2 ) Mutants Data Analysis

description: Bioenergetics data ( DEL2G ) of interaction between D614G mutants vs N501Y mutants are statistically analysed to find out the correlation study .
DOI: 10.17632/bmf5kf273b
title: Velocity datasets of a simplified two-layered terraced house by WTE

description: Velocity datasets of a simplified two-layered terraced house were obtained by wind-tunnel experiments. Hot-wire anemometry and particle image velocimetry were employed. The measurement were conducted at Tokyo Polytechnic University, Japan. The measurements were conduced by Dr. C. Hirose, Associate Professor W. Wang, Dr. MF Mohamad, and Associate Professor N.Ikegaya in a research group at Kyushu University, Japan.
DOI: 10.17632/s5bhv3ff7v
title: Adverse Childhood Experience, Resilience, and Mental Health Among Heterosexuals and Sexual Minorities: Dataset

description: This dataset was collected to study the difference between sexual orientation and mental health among a sample of 310 individuals, comprising 180 heterosexual and 130 sexual minority individuals. Specifically, the data numerically reports the complex relationship between mental health, adverse childhood experiences (ACEs), resilience, and resilience coping skills in heterosexuals and sexual minorities. It also provides insight into how these differences manifest when analyzing both samples as a single group. The investigators employed the Revised ACEs Self-Report Scale (Felitti et al., 1998) for ACEs assessment, the Brief Resilience Scale (Smith et al., 2008) to gauge resilience levels, the Brief Resilience Coping Scale (Sinclair & Wallston, 2004) for evaluating resilience coping, and the Mental Health Continuum Short Form (Keyes et al., 2008) to assess mental health. The dataset is a resource for researchers, psychologists, and public health professionals who study the disparities in mental health, ACEs, resilience, and resilience coping skills across diverse populations. Findings from the data may inform targeted interventions, policies, and support systems aimed at improving the well-being of both heterosexuals and sexual minorities. It is important to note that the data is anonymized to safeguard participant privacy and adherence to ethical guidelines. Proper citation of the source study is strongly encouraged when utilizing this dataset for research or analysis.
DOI: 10.17632/skpcgg8nt8
title: Data for: Early Agriculture in Sri Lanka: New Archaeobotanical Analyses and Radiocarbon Dates from the Early Historic Sites of Kirinda and Kantharodai

description: Phytolith counts from the archaeological sites of Kirinda and Kantharodai
DOI: 10.17632/vhj7cg9y68
title: Photo/Video Archive of In Situ Benthic Imagery from the St. Anns Bank Marine Protected Area

description: St. Anns Bank is an exceptional habitat that has many ecologically and biologically significant features. It has the highest annual sea surface temperature range on the Scotian Shelf, and provides important habitat for commercial and non-commercial species, such as Atlantic cod, redfish, white hake, witch flounder, and a variety of sponges, corals and sea pens. Scientific surveys have recorded more than 100 species and a wide variety of habitat types. In addition, St. Anns Bank is part of an important migration corridor for fish and marine mammals, including whales, moving in and out of the Gulf of St. Lawrence and St. Lawrence Estuary. For these reasons, a 4,364 km2  area encompassing St. Anns Bank was designated as a Marine Protected Area by Fisheries and Oceans Canada in June 2017 (https://www.dfo-mpo.gc.ca/oceans/mpa-zpm/stanns-sainteanne/index-eng.html).

The conservation objectives for the MPA are:
•	Conserve and protect all major benthic, demersal (i.e., close to the sea floor) and pelagic (i.e., in the water column) habitats within the MPA, along with their associated physical, chemical, geological and biological properties and processes;
•	Conserve and protect marine areas of high biodiversity at the community, species, population and genetic levels within the MPA; and
•	Conserve and protect biological productivity across all trophic levels so that they are able to fulfill their ecological role in the ecosystems of the MPA.

Here we provide benthic imagery (566 photos, 2 video transects) collected from two research cruises conducted by Fisheries and Oceans Canada in 2009 and 2015, prior to the establishment of the MPA. The imagery can be used in future to monitor the effectiveness of the MPA and were obtained from drop camera systems. In 2009, two photo transects were obtained from the 4KCam (Geological Survey of Canada) and two photo transects from Campod (Fisheries and Oceans Canada). The Campod transects also had associated forward and downward facing video. In 2015, five photo transects were conducted with the 4KCam. The 4KCam houses a Canon Rebel EosTi 12 megapixel camera triggered automatically when the system touches the seafloor. Campod is an instrumented tri-pod equipped with a downward-facing Nikon D300 12 megapixel camera. Technical details for both camera systems can be found in Korabik et al. (2021): https://publications.gc.ca/collections/collection_2021/mpo-dfo/Fs97-6-3430-eng.pdf .
DOI: 10.17632/z93gzbptf7
title: PV Panel: Irradiance, Temperature, Partial Shading - IV Curves

description: The datasets contain data points of various I-V curves of a  PV panel - which is subjected to uniform irradiance as well as partially shaded conditions - that are obtained by varying irradiance and temperature.
From these I-V curves, the important points such as Vmp,Imp; Voc; Isc are extracted and consolidated in a separate file for uniform irradiance and partially-shaded condition.
DOI: 10.17632/z9w23xvhbt
title: MaRoReS (Machining, Roughness and Residual Stresses generated in turning of 42CrMo4+QT steel)

description: This repository is part of the MaRoReS (Machining, Roughness and Residual Stress) project, with which the authors aim to determine the influence of the main turning parameters (here feed rate (mm/rev), cutting speed (m/min), depth of cut (mm), and insert radius(mm)) on the roughness and residual surface stress of a 42CrMo4+QT steel. 

For this purpose, a large experimental campaign was designed using a CCD-type design of experiments in which 68 different specimens were machined under different cutting conditions. The turning process was fully monitored regarding forces, accelerations, sound, and current consumed by the lathe. Once the specimens were machined, surface roughness and longitudinal residual stress were measured.

The repository is organized as follows. Initially, the user will find two folders: "Raw Data" and "Processed Data". On the one hand, the first folder is subdivided into 3 subfolders containing respectively the raw data obtained from the roughness measurement, the surface residual stresses, and the data obtained from monitoring the turning process. On the other hand, the second folder is dedicated to entering the post-processed data. A more detailed explanation of each folder can be found by double-clicking on them. In addition, in the section "Steps to reproduce", the reader will find an exhaustive explanation of the acquisition methods and the post-processing analysis implemented in each case.
DOI: 10.6084/m9.figshare.25847716.v1
title: Turnip rape SNP marker (MAF0.05Hetrozygosity20%)

description: This set of SNP markers was utilized for GWAS and genomic prediction analysis in 170 turnip rape accessions. These markers were generated using the GBS method and underwent a stringent quality check to ensure their reliability.
DOI: 10.17632/svwrdmkwb9
title: Preferred and perceived healthiest body size and muscularity
DOI: 10.17632/vwbn2gcgv3
title: Data for: Seasonal variations of Carbon Dioxide, Water Vapor and Energy Fluxes in Indian tropical mangrove forest of Pichavaram.

description: Eddy covariance based - Half hourly raw and processed carbon, water, energy fluxes data for annual scale from Indian mangrove forest.
DOI: 10.17632/3sp4d3sdkt
title: daspro

description: students' achievement
DOI: 10.17632/4wr58rrc8r
title: Measuring the importance of the Global Supply Chain for economic development based on diachronic data of the Logistics Performance Index (LPI)

description: Research Hypotheses
Our research focuses on understanding the relationship between the Logistics Performance Index (LPI) and GDP per capita across 169 countries over a span of 16 years, from 2007 to 2023. The hypothesis driving this study is twofold:
1. Primary Hypothesis: There is a statistically significant and positive correlation between a country’s LPI and its GDP per capita. This hypothesis is grounded in the understanding that higher logistics performance, as measured by the LPI, reflects more efficient trade and economic activities, which in turn should contribute to higher economic outputs and, therefore, higher GDP per capita.
2. Secondary Hypothesis: Among various indicators related to supply chain efficiency, the LPI is the most accurate predictor of GDP per capita. 
To test these hypotheses, we compiled a dataset that includes annual LPI scores, other supply chain performance variables and GDP per capita values for 169 countries from 2007 to 2023
Data Analysis
The data was analyzed using SPSS, a statistical software package widely used in academic research. The analysis involved several key steps:
• Correlation Analysis: Pearson correlation coefficients were calculated to assess the strength and direction of the relationship between LPI and GDP per capita across different countries and years.
• Multivariate Linear Regression: A series of regression models were developed to determine the extent to which LPI and other logistics-related variables predict GDP per capita. 
• Proximity to Mean Analysis: This analysis was conducted to evaluate the consistency of the relationship between LPI and GDP per capita across different contexts, identifying variables that showed a stable and significant impact on economic outcomes.
How to Interpret the Data
The dataset provides a comprehensive view of the relationship between logistics performance and economic output. When analyzing the data, the following points should be considered:
1. Correlation Between LPI and GDP per Capita:
o The data reveals a strong positive correlation between the LPI and GDP per capita, indicating that countries with higher logistics performance tend to have higher economic output per person. This suggests that improvements in logistics efficiency, such as better customs procedures and infrastructure, can significantly contribute to economic growth.
2. Significance of LPI Components:
o Each component of the LPI plays a role in the overall score, and understanding these components can provide deeper insights into specific areas of strength or weakness in a country’s logistics performance. 
3. Impact of External Factors:
o The data spans a period that includes significant global events, such as the 2008 financial crisis and the COVID-19 pandemic. These events may cause noticeable fluctuations in both LPI scores and GDP per capita.
DOI: 10.17632/bk5cm9gb2m
title: Verification of the success of pseudo germ-free mice model with antibiotics

description: Verification of the success of pseudo germ-free mice model with antibiotics
DOI: 10.17632/t5h8bzdb2b
title: IR and point cloud data visulization

description: IR and point cloud data visulization
DOI: 10.6084/m9.figshare.1372304.v1
title: EXPLORING THE OPEN EDUCATIONAL RESOURCES IN LIBRARIES

description: As India marches rapidly towards an ambitious agenda of economic and social advancement, Younger generation is changing their mindset and the greatest challenges is faces to provide extensive access to quality higher education opportunities. An evident and expanding Open Education Resources movement offers great promise for meeting this challenge through initiatives that make quality tools, content and practice widely available. Accordingly, India’s National Knowledge Commission launched a process to explore and leverage these initiatives for adoption and adaptation, as well as to serve as a model for further indigenous efforts. This paper outlines issues and recommendations that address organisational considerations and infrastructure readiness as part of a systemic and sustainable strategy to make effective use of Open Educational Resources for scaling educational opportunity and excellence in the Indian context.
DOI: 10.6084/m9.figshare.24136695.v1
title: Data relating to: "Developing Loop Mediated Isothermal Amplification (LAMP) assays for rapid, presumptive DNA detection of an invasive reptile (<i>Boa constrictor</i>)"

description: This record includes data relating to the manuscript "Developing Loop Mediated Isothermal Amplification (LAMP) assays for rapid, presumptive DNA detection of an invasive reptile (<i>Boa constrictor)</i>" as part of our Data availability statement. This includes the DNA extracts sheet (named Extract_quants), which contains: DNA extract ID, Volume used in quantification, Quantus reading, Sample type and Species for all of the DNA extractions relevant to the manuscript. The second sheet contains the mean hue measurements for all the colorimetric LAMP (targeting the mitochondrial control region for <i>B. constrictor</i>) reactions following 30, 45 and 60 minutes of incubation at 65C. This sheet (named Colorimetric_Hue) contains columns: Sample, Time, Conc (DNA concentration (ng/uL)), Primer.conc, Hue.mean, Hue.max, Pixels and Primer. The final sheet contains the Cq values for the fluorescent LAMP reactions for the mitochondrial control region of <i>B. constrictor </i>with a common threshold of 40,000 set on the Applied Biosystems Design Analysis Software. All reactions were conducted at 65C for 30 minutes spread across 20 second periods spanning 90 intervals on the QuantStudio™ 6 Flex Real-Time PCR System (Applied Biosystems, USA). This sheet contains time to detection (Cq) and melt curve temperatures (Tm1) relevant to our study, with columns: Sample, Target, Cq, Amp Status, Tm1.
DOI: 10.17632/mx4587rtsr
title: Raw data for the database on the nonlinear optical properties of graphene based materials

description: This data (.cvs file) shows a comprehensive comparison of the NLO parameters (NLA/NLR/Is/Fth) investigated under various laser parameters (wavelength/ laser power/energy/intensity) derived from Z-scan experimental studies for metal decorated G/GDs, 2D-TMDs, post-TMTs-G/GDs, semiconductor-graphene based materials, G/GDs dispersed in various solutions and single/few/multilayer graphene based materials and many others. The data (.txt file) also contains a compilation of research articles (total 71) and represents the year-wise bifurcated research publications in the field of nonlinear optical properties of graphene and its derivations, determined experimentally from the Z-scan technique.
DOI: 10.6084/m9.figshare.19182632.v1
title: Appendix S3: Biodiversity and NCP relationship table

description: The data contains two distinct tables showing the relationship between biodiversity and 17 NCPs. ---<br> Content: <br> 1. "Vertebrates x NCPs relationship" 250 vertebrates and 9 NCPs considered <br> 2."Tracheoph x NCPs relationship" 1817 tracheophytes (vascular plants) and 16 NCPs --- Appendix from Rey et al 2023 <strong>Article Title : </strong>Linking plant and vertebrate species to Nature’s Contributions to People in the Swiss Alps <strong>DOI : </strong>10.1038/s41598-023-34236-2
DOI: 10.17632/8bxkdw4nfw
title: Additively manufactured metal honeycombs

description: This data set consists of data related to the investigation on the mechanical performance of metal honeycombs fabricated by laser powder-bed fusion, as an additive manufacturing technique. The results and discussion associated with this data set have been published as an open access article in the Journal of Thin-walled Structures and can be accessed via this link:

https://doi.org/10.1016/j.tws.2022.109864
DOI: 10.17632/z9zw7nt5h2
title: Twitter Sentiments Dataset

description: The dataset has three sentiments namely, negative, neutral, and positive. It contains two fields for the tweet and label.
DOI: 10.6084/m9.figshare.12336338.v1
title: Tabla 1. Evaluación del modelo de medida.xlsx

description: Tabla 1. Evaluación del modelo de medida para el modelo relativo al uso de herramientas web 2.0 en las universidades españolas en la era de covid-19
DOI: 10.17632/5m7jp4nb4y
title: EQMO: Equation of motion method for efficient electronic structure calculations

description: Equation of motion method has proven efficient for electronic structure calculations of very large systems, i.e. containing several million atoms. In this work, we redesign its previously published implementation and hereby release a revised software tool, EQMO, now capable of solving a crystalline TiO2 test sample of nearly a quarter of a billion atoms on NEC SX-Aurora TSUBASA vector computer. The legacy code has been rewritten in modern free-form Fortran, and the main developments include MPI support and optimisations for parallel execution. The previous version of this program may be found at https://doi.org/10.1016/0010-4655(92)90011-M.
DOI: 10.17632/d2jr97dk73
title: Transcriptome sequencing data

description: Transcriptome sequencing data
DOI: 10.17632/x8cvmf3wcx
title: Data for: Investigation of dynamic heat generation-transfer behavior and energy dissipation for nonlinear synchronous belt transmission

description: These data are related to heat generation rate calculation of hysteresis and meshing friction.
DOI: 10.17632/st4twzwwyf
title: “Knowledge Regarding Cardiopulmonary Resuscitation among Nurses and Paramedics Working at Tertiary Care Center: A Descriptive Cross-Sectional Study”

description: Our study aims to assess the depth of Knowledge of Cardiopulmonary resuscitation among healthcare workers (nursing and paramedics). Nurses and paramedics are the frontliners during their duty where they are usually present at the bedside of the patient. Immediate response to the situation during cardiac arrest is highly expected from them before the arrival of help from the doctor. Our study advocates the need for effective CPR training and workshops for nurses and paramedics during their studies or their jobs so that quality of care is maintained.
DOI: 10.6084/m9.figshare.14207369.v2
title: Dataset of international migration among published researchers from and to the United Kingdom over 1996-2020

description: This dataset contains one of the main outputs of a study on international migration among published researchers from and to the United Kingdom. The migration flows are inferred from the changes of affiliation addresses in Scopus publications from 1996-2020. Scopus data is owned and maintained by Elsevier.<br>This dataset is provided under a CC BY-NC-SA Creative Commons v 4.0 license (Attribution-NonCommercial-ShareAlike). This means that other individuals may remix, tweak, and build upon these data non-commercially, as long as they provide citations to this data repository (10.6084/m9.figshare.14207369) and the reference article listed below, and license the new creations under the identical terms.<br>For more details about the study, please refer to Sanliturk et al. (2021).<br>The dataset is provided in a comma-separated values file (.csv file) and each row represents the migration flow of research-active scholars from a country to another country in a specific year. Either the origin country or the destination country is the United Kingdom.<br>The data can be used to produce migration models or possibly other measures and estimates. They can also be used as an edge list for creating a network model of migration flows (directed weighted edges) between the UK and other countries (nodes).
DOI: 10.6084/m9.figshare.1564739.v2
title: WEEK 4: Dataset 1 - Using a quadrat to determine RTUs

description: Description The experiment was conducted on Monday September 28nd at approximately 3:45 pm until 5:00. All the data was collected in the woodlot and corresponds to dataset 1. It was cloudly, windy and humid. The temperature was around 20 degrees celcius. Materials: Quadrat, 1m by 1m Method: 20 quadrats were used in total, 10 to be placed in the grassland and 10 to be placed in the woodlot. The selection of each quadrat in the habitat was randomized by first selecting a location and then the next one would be located 1.5 meters north to the previous location where the quadrat was placed. The quadrat was left in place for a duration of 2 minutes. After the desired time elapsed 2 minutes were spent counting the insects within the quadrat. The recognizable RTUs include dragonflies, mayflies, grasshoppers,bugs,butterflies,moths beetles, flies, ants, wasps, bees and spider.
DOI: 10.17632/hvvpbnt8r3
title: Janauaca Lake dataset

description: Janauaca Lake dataset : DEM, water level, ADCP measures
DOI: 10.17632/4rf8wnh639
title: Code and description for Emerging Markets Review publication "Oefele, Baur, and Smales (2025) The Effect of Currency Risk on Crypto Asset Utilization in Türkiye"

description: The attached files enable the full replication of the empirical analysis. All .ipynb files ending in _retrieve contain the code for retrieving data via the respective APIs.

We manually obtained the total global crypto asset market capitalization, as well as the market capitalization of each individual cryptocurrency and stablecoin, from CoinGecko. The data is stored as individual .csv files, which are imported into the .ipynb files. Additionally, we retrieve the following daily variables from DataStream: the TRY/USD exchange rate, MSCI World Index, TR2YT, US2YT, BIST 100, and S&P 500.

The dummy variable indicating month-to-month inflation shocks exceeding 5% is based on the file AppendixB_Türkiye_Inflation_figures_CSV_format.csv. The data in this file was manually obtained from the website of the Central Bank of the Republic of Türkiye (CBRT).

Descriptive statistics and empirical analysis are conducted in Stata. All figures are generated using the .ipynb file P3_Code_Python_figures.

Note that the categorization used in the published paper (MegaCap, LargeCap, MidCap), which follows FINRA’s classification of stocks by market capitalization, differs from the terminology in the code (LargeCap, MidCap, SmallCap). This discrepancy is purely nominal and does not affect the results.
DOI: 10.17632/68cbmgvc6r
title: Data for: Syntactic complexity of bifix-free regular languages

description: An implementation of the algorithm from the proof of Theorem 13.