cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25061435
title: Supplementary Material for: Association of Cancer and Its Interaction with Conventional Risk Factors on Cardiovascular Disease Risk

description: Introduction We sought to examine the association of cancer history with the incidence of individual cardiovascular disease events and to clarify whether the history of cancer modifies the relationship between conventional cardiovascular risk factors and incident cardiovascular disease. 
Methods This retrospective cohort study used the JMDC Claims Database, including 3,531,683 individuals. The primary endpoint was the composite cardiovascular disease outcome, which included myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation. 
Results During a follow-up, 144,162 composite endpoints were recorded. Individuals with a history of cancer had a higher risk of developing composite cardiovascular disease events (HR 1.26, 95% CI 1.22-1.29). The HRs for myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation were 1.11 (95% CI 0.98-1.27), 1.15 (95% CI 1.10-1.20), 1.11 (95% CI 1.05-1.18), 1.39 (95% CI 1.34-1.44), and 1.22 (95% CI 1.13-1.32), respectively. Individuals who required chemotherapy for cancer had a higher risk of developing cardiovascular disease. Although conventional risk factors (e.g., overweight/obesity, hypertension, and diabetes) were associated with incident composite cardiovascular disease even in individuals with a history of cancer, the total population-attributable fractions of conventional risk factors were less in individuals with a history of cancer. 
Conclusion Individuals with a history of cancer (particularly those requiring chemotherapy) have a higher risk of cardiovascular disease. Traditional risk factors are important in the development of cardiovascular disease in individuals with and without a history of cancer. In individuals with a history of cancer, however, the total population-attributable fractions of conventional risk factors decreased.
DOI: 10.21227/42v0-jz14
title: Photovoltaic power and weather parameters

description: This dataset includes PV power production measured on the SolarTech Lab, Politecnico di Milano, Italy. Data are freely available for scientific research purpose and further data validation.In particular, the dataset is composed of the following variables and specifics, with a time resolution of 1 minute:Timestamp: column with time recordings; the data format is “dd-MM-yyyy hh:mm:ss”, with the time always expressed in Central European Time (CET).Pm: power recordings from the PV module (W); module tilt: 30°.Tair: ambient temperature (°C) measured by the weather station described in SolarTech Lab website (http://www.solartech.polimi.it/instrumentation/).GHI: measured Global Horizontal Irradiance (W/m2).GPOA: global irradiance measured on the plane of array (30°).Ws: measured wind speed (m/s).Wd: measured wind direction (°), assuming 0° east, positive south.It is worth noticing that this dataset includes original measurements, i.e. these raw data can be used for any additional post-processing, validation and further research. When a value is missing in the original measurements recording, a “NaN” is reported.
DOI: 10.24432/c53k6z
title: Mammographic Mass
DOI: 10.25578/j5dg3w
title: NoiseCapture data extraction from August 29, 2017 until August 28, 2020 (3 years)

description: PosgreSQL 10.15 PostGIS 2.5 In order to restore: - create an empty database - first init PostGIS into the database - finally use pg_restore program You can find fields description in this document: https://github.com/Ifsttar/NoiseCapture/blob/v1.2.19/onomap-geoserver/geoserver/src/test/resources/org/noise_planet/noisecapturegs/inith2.sql
DOI: 10.3886/icpsr03484.v4
title: Census of State and Local Law Enforcement Agencies (CSLLEA), 2000: [United States]
title: Version 4

description: To ensure an accurate sampling frame for its Law Enforcement Management and Administrative Statistics (LEMAS) survey, the Bureau of Justice Statistics periodically sponsors a census of the nation's state and local law enforcement agencies. This census, known as the Directory Survey, includes all state and local law enforcement agencies that are publicly funded and employ at least one full-time or part-time sworn officer with general arrest powers. As in previous years, the 2000 Directory Survey collected data on the number of sworn and nonsworn personnel employed by each agency, including both full-time and part-time employees. The pay period that included June 30, 2000, was the reference date for all personnel data. A 97.4 percent response rate was obtained from the 17,784 state and local law enforcement agencies operating in the United States. This data collection contains June 2000 data from the fourth Directory Survey. Previous directory censuses were conducted in 1986 (DIRECTORY OF LAW ENFORCEMENT AGENCIES, 1986: [UNITED STATES] [ICPSR 8696]), 1992 (DIRECTORY OF LAW ENFORCEMENT AGENCIES, 1992: [UNITED STATES] [ICPSR 2266]), and 1996 (DIRECTORY OF LAW ENFORCEMENT AGENCIES, 1996: [UNITED STATES] [ICPSR 2260]). Variables include personnel totals, type of government, type of agency, and whether the agency had the legal authority to hold a person beyond arraignment for 48 or more hours.
description: inap.
description: Datasets: DS1: Census of State and Local Law Enforcement Agencies (CSLLEA), 2000: [United States]
description: All police and sheriffs' departments that were publicly funded and employed at least one full-time or part-time sworn officer with general arrest powers.
DOI: 10.5066/p9iymei2
title: Effects of Wetland Management and Associated Abiotic Processes on Rare Plant Communities of Spring-fed Arid Wetlands at Bitter Lake National Wildlife Refuge 2019-2020

description: This dataset consists of three datafiles: 1) vegetation, 2) abiotic factors, and 3) groundwater levels. Vegetation data were collected twice per month between July and September of 2019 and 2020. Data was collected by establishing 1m x 1m subplots within 12 5m-radius sampling plots distributed across the management units of Bitter Lake National Wildlife Refuge. Subplots were established to represent plot-level vegetation structure and facilitate estimates of rare plant relative abundance. The abiotic factors dataset includes observations of surface soil moisture, salinity, groundwater quality data, and rare plant presence taken weekly between March ? October 2019 and May ? October 2020 at each established plot within management units of Bitter Lake National Wildlife Refuge. Surface soil conditions were measured using a handheld TEROS 12 soil moisture and salinity sensors (METER group Inc., Pullman, Washington). Groundwater quality data was measured using an YSI handheld multi-parameter (YSI Inc., Yellow Springs, Ohio). The groundwater level dataset includes groundwater depth data. Groundwater depth was monitored by installing an In-Situ Rugged TROLL 100 water level recorder (In-Situ Inc., Fort Collins, Colorado) in 4 wells within 4 different management units. Each recorder was programmed to conduct readings every 6 hours from March 2019 to October 2020. Groundwater level data was calibrated by installing one In-Situ Rugged BaroTROLL barometric pressure transducer at a midpoint. Groundwater data was downloaded to the Win Situ 5 software, where the data was gathered, calibrated, organized and exported as a .csv file. This dataset summarizes this information and was used for analysis.
DOI: 10.5281/zenodo.11053624
title: Analysis scripts and dataset for Zhang et. al. (2024)

description: This archive contains post-processed data and scripts for analyses in Zhang et al. (2024) "A Machine Learning Bias Correction on Large-Scale Environment of High-Impact Weather Systems in E3SM Atmosphere Model". These data are derived from the model outputs from the simulations conducted with DOE's E3SM Atmosphere Model Version 2 (EAMv2).  There are two groups of simulations. The first group consists of three model simulations were conducted with EAMv2, including one preset-day and two pseudo-global warming simulations with prescribed perturbations on sea surface temperature (SST) and sea ice concentrations (SICs). The second group contains the three same simulations that were post-processed with a machine learning bias correction model.  A detailed description of the model and simulations can be found in Zhang et. al. (2024).
DOI: 10.5281/zenodo.12794728
title: Raw data to "Quantum melting of long-range ordered quantum antiferromagnets investigated by momentum-space continuous similarity transformations"

description: This collection of data is complementary to the publication "Quantum melting of long-range ordered quantum antiferromagnets investigated by momentum-space continuous similarity transformations", Dag-Björn Hering, Matthias R. Walther, Kai P. Schmidt, Götz S. Uhrig, arXiv:2405.13768 (https://arxiv.org/abs/2405.13768).

It contains three data sets:



raw_data: Contains the results and metadata of individual CST runs in a ".json" format

processed_data: Contains processed raw data in a “.pkl” format, where derived quantities are directly accessible (sublattice magnetization, second derivative of the ground-state energy) 

plot_data: Contains the data points used in Figs 4,6,7,8,910,11,12 and 13 in a “.csv” format


For details on the CST, the used error estimates and physical quantities we refer the the publication.

For details on the format, we recommend the README.md files.
DOI: 10.6075/j0vq32w2
title: Data from: Observations and Numerical Simulations of the Onset and Growth of Langmuir Circulations

description: Data were collected using the SIO Modular Aerial Sensing System (MASS), Liquid Robotics SV2/3 Wave Gliders, Del Mar Oceanographic Wire Walkers, and research vessel R/V Sally Ride, equipped with the SIO Multiscale Ocean Dynamics FastCTD. Data were processed using Matlab (R2023b).

Additional software required to generate figures include the following packaged from the Matlab Central File Exchange:

--- cmocean
Thyng, Kristen, et al. “True Colors of Oceanography: Guidelines for Effective and Accurate Colormap Selection.” Oceanography, vol. 29, no. 3, The Oceanography Society, Sept. 2016, pp. 9–13, https://doi.org10.5670/oceanog.2016.66.

--- cbrewer2
Scott Lowe (2023). cbrewer2 (https://github.com/scottclowe/cbrewer2), GitHub. Retrieved November 22, 2023

--- colorspace
Pascal Getreuer (2023). Colorspace Transformations (https://www.mathworks.com/matlabcentral/fileexchange/28790-colorspace-transformations), MATLAB Central File Exchange. Retrieved November 22, 2023.

--- subtightplot
Felipe G. Nievinski (2023). subtightplot (https://www.mathworks.com/matlabcentral/fileexchange/39664-subtightplot), MATLAB Central File Exchange. Retrieved November 22, 2023.

--- imagescnan
Carlos Adrian Vargas Aguilera (2023). imagescnan.m v2.1 (Aug 2009) (https://www.mathworks.com/matlabcentral/fileexchange/20516-imagescnan-m-v2-1-aug-2009), MATLAB Central File Exchange. Retrieved November 22, 2023.

--- scale_quivers
https://www.mathworks.com/matlabcentral/fileexchange/69374-scale_quivers

--- inpaint_nans
John D'Errico (2023). inpaint_nans (https://www.mathworks.com/matlabcentral/fileexchange/4551-inpaint_nans), 
MATLAB Central File Exchange. Retrieved November 22, 2023.

--- ellipse
David Long (2023). ellipse.m (https://www.mathworks.com/matlabcentral/fileexchange/289-ellipse-m), MATLAB Central File Exchange. Retrieved November 22, 2023.
description: This dataset contains observational data and numerical simulations relevant to the associated publication on observations of Langmuir circulations. Observational data were collected in November 2020 from airborne instruments (MASS) and in-situ from autonomous wave gliders, drifting instruments, and ship-based measurements, collected by researchers at the Scripps Institution of Oceanography at UC San Diego. Numerical simulations were run between 2021 and 2023 by researchers at Johns Hopkins Applied Physics Laboratory. The dataset contains the data and the processing routines necessary to generate the figures in Andriatis et al. 2024.
DOI: 10.6084/m9.figshare.25903453.v1
title: Predicting Avian Diversity Based on Land Use and Cover on a National Scale

description: This study explores the relationship between landscape elements and avian diversity in South Korea, examining both taxonomic and functional diversity. The Korean Peninsula serves as a pivotal habitat for resident bird species and a migratory pathway in the East Asia-Pacific flyway. Using a national dataset compiled at a scale of 2’30” × 2’30” blocks of angular measurements (each side ranging approximately 3.5-4.5 kilometers), we found that less urbanized open plains exhibit higher taxonomic diversity, while coastal regions with diverse water bird populations show higher functional diversity. These findings underscore the significance of conserving the existing land types and qualities in specific regions to substantially impact bird distribution and regional biodiversity. Remarkably, closed forests display diversity patterns akin to urban/built-up areas, despite their disparate land use characteristics. The stability of bird diversity indices across different land use types enables us to predict bird diversity indices based on the particular land use and land cover configurations. This study emphasizes the complementary nature of functional biodiversity indices in comprehending bird distribution patterns alongside taxonomic diversity indices.
DOI: 10.15156/bio/1279042
title: Full mothur UNITE+INSD dataset 1

description: This dataset comprises of all quality filtered unclustered UNITE + INSD fungal sequences included in the UNITE Species Hypotheses in mothur format.
DOI: 10.15485/1596312
title: Blodgett Forest CA Warming Experiment Soil Gas Well Data March 2014 to June 2017

description: These are soil gas data from the whole soil profile warming experiment at the University of California Blodgett Forest Research Station, in the Sierra Nevada foothills near Georgetown, CA at 1370 m above sea level. Mean annual precipitation is 1774 mm with most of it occurring from November through April and mean annual temperature is about 12.5°C . The experiment is in a thinned 80-year-old stand of mixed conifers including ponderosa pine (Pinus ponderosa), sugar pine (Pinus lambertiana), incense cedar (Calodefrus decurrens), white fir (Abies concolor), and douglas fir (Pseudotsuga menziesii). The soils are Holland series: fine-loamy, mixed, superactive, mesic Ultic Haploxeralfs of granitic origin with thick, &gt;5 cm O horizons, minimal carbonates , and a pH that ranges from 5.6 to 6.5. The warming experiment warms the top meter of the soil profile to +4°C above ambient. These data include depth-resolved measurements of CO2 concentrations, 13CO2, apparent respiration quotients, soil temperature, and soil moisture (VWC). These data can be used to model CO2 production rates across the soil profile or to track how the sources and processes contributing to soil respiration change seasonally and with warming.
DOI: 10.17603/ds2-5tzv-qz91
title: Response and Fragility Modeling of Aging Bridges Subjected to Earthquakes and Truck Loads

description: This project performs simulations to study the seismic response of seven different bridge classes. The contributions of this project are: 1) the finite element models are parameterized to facilitate regional level probabilistic seismic performance assessment; and 2) they allow inclusion of deterioration due to aging and environmental exposure when assessing seismic behavior. The simulation results could be used for developing parameterized fragility models, i.e. models for conditional probability of exceeding a given damage state. They also offer a dataset for testing alternative machine learning techniques or surrogate modeling approaches for bridge seismic response prediction.
DOI: 10.17632/3vc56ddjhw.1
title: CottonFabricImageBD

description: 1. Content: Colored cotton fabric (Dimension: 900p x 1200p )
2. Format of Files: JPG
3. Number of Class: 13 (30%, 40%, 50%, 53%, 58%, 60%, 63%, 65%, 66%, 80%, 95%, 98%, and 99%) based on the percentages of the cotton in a fabric.
4. Number of Zooming Range of each class: 03 (4px, 8px and 10px)
5. Original Image: 1248 (In each zooming range: 32; in each class: 96)
6. Augmented Image: 27300 (In each zooming range: 700; in each class: 2100)
7. How data are acquired: The dataset of the percentage of cotton was collected from sources like fabric stores, and clothing manufacturers
8. Where applicable: To automate the percentage of cotton in a fabric measurement
9. Folder Structure: Provided in the readme file.
DOI: 10.21227/3ycm-px23
title: Assamese and Telugu Handwritten Text Dataset

description: This is a dataset comprising of handwritten text in Assamese and Telugu. Individuals from Assam and Andhra Pradesh were approached to give the handwritten text samples on a plain paper. These texts were captured using a mobile camera and 300 dpi resolution. These text images can be used for language recognition as well as segmentation at different levels such as line, word and character. Our dataset consisted of 200 samples of Assamese and 222 samples of Telugu handwritten text. Each text consist of 5-10 text lines of essay and short stories. Each sample has a unique handwriting style.
DOI: 10.21954/ou.rd.24981669
title: OpenMARS MY34-35 database

description: The Open access to Mars Assimilated Remote Soundings (OpenMARS) database is a reanalysis product combining past spacecraft observations with a state-of-the-art Mars Global Circulation Model (GCM). The OpenMARS product is a global surface/atmosphere reference database of key variables for multiple Mars years.Spacecraft observations of column dust optical depth and temperature profiles from the Mars Climate Sounder (MCS) instrument on the Mars Reconnaissance Orbiter spacecraft, water vapour profiles and water vapour column from the Nadir and Occultation for MArs Discovery (NOMAD) instrument and water vapour and temperature profiles from the Atmospheric Chemistry Suite (ACS) on the ExoMars Trace Gas Orbiter (TGO) spacrcraft are combined with a Mars GCM used at the Open University. The database includes hourly output of key atmospheric and surface variables such as water vapour volume mixing ratio, zonal/meridional wind, temperature as a function of altitude and column dust optical depth.Extended details on this dataset can be found in the OpenMARS-MY34-35-reference-manual.pdf document included in this repository.
DOI: 10.24378/exe.4986
title: Real-time millimeter wave holography with an arrayed detector (dataset)

description: The data necessary to recreate the figures in the paper "Real-time millimeter wave holography with an arrayed detector".
description: The data necessary to recreate the figures in the paper "Real-time millimeter wave holography with an arrayed detector" are organised into folders according the the figure name. data types are '.dat','.png' and '.avi' General notes - video format files output by the TeraView software, used for Fig S4 + visualisations and phase-shifting data are for some reason upscaled by the software to 128x128. Fig 2 - 3 x .dat image matrices, camera intensities recorded for the off-axis interferogram with no object ('beam'), reference beam only ('ref_r') and 2 PTFE plates interferogram ('plates'). Reference beam only is used to isolate the object amplitude following equation 1. Fig 3 - 1 x chopper_or_exp4_loop.avi, video of the in-line interferogram as the stage is translated, adding phase shift, pausing, then returning. For the reconstructions in the paper the data was taken from (time) index 50:150. - 1 x beam_or_loop.avi, as above with no object in place, used for normalisation. - 1 x ref_r_exp4.dat image matrix, intensity of just the reference beam used to extract the object amplitude following equation 2. Fig 4 - 4 x .dat image matrices for the off-axis data, camera intensities recorded for the off-axis interferogram with no object ('beam'), reference beam only ('ref_r') and plastic chopper (=Siemens star) interferogram ('plasChopper') and phase wheel ('wheel')). - 3 x .avi files for the plastic chopper, phase wheel and no object beam following the same format as for described for Fig 3. Fig S2 - 1 x No obj .png used for intensity normalisation. - 13 x ruler .png at horizontal translations as named. Fig S3 - 1 x plasChopper_or_exp4_loop.avi, the same data as in Fig. 4, used here to test sampling dependency. Fig S4 - 4 x .avi files corresponding to the video outputs from TeraView software. - 4 x .dat image matrix 'NoObj...' files contain stills of the interferogram when no object is present and could be used for normalisation (as opposed to the first frame of the videos) - 4 x .dat image matrix 'o_...' files contain stills of the object beam with reference blocked. - 4 x .dat image matrix 'r_...' files contain stills of the reference beam with object blocked. The .dat files may be used to determine the amplitude of the reconstructed object (compensate for ref intensity), but note that they use a different scaling to the video format .avi files.
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/135239
DOI: 10.25318/1510000901-eng
title: English, French and non-official languages spoken at home by geography, 2001 to 2016

description: Data on languages spoken by the population of Canada and Canada outside Quebec, and of all provinces and territories, for Census years 2001 to 2016.
DOI: 10.25914/5c872258dc183
title: Conserving Land-Atmosphere Synthesis Suite (CLASS)  v 1.1
DOI: 10.48480/6mz1-zs78
title: Nationales Monitoring biogener Reststoffe, Nebenprodukte und Abfälle in Deutschland Teil 1 : Basisdaten zu Biomassepotenzialen
DOI: 10.5281/zenodo.10700084
title: Simulation dataset of annual yields, GHG emissions and SOC stocks under current and projected climate conditions for major crops with current and reduced fertiliser rates in Southwest, England

description: Using site specific spatial data and information, two agroecosystem models (SPACSYS and RothC) were integrated to quantify the effects of 3 fertiliser reductions (10%, 30% and 50%) under baseline and projected climate scenarios (RCP2.6, RCP4.5 and RCP8.5) in Southwest, England. 48 unique combinations of soil types, climate conditions and fertiliser inputs were evaluated for five major arable crops (winter wheat, maize, winter barley, spring barley, winter oilseed rape) plus ryegrass. Modelled annual estimates of crop yields, biomass, emissions of GHG gases (nitrous oxide, methane, carbon) and SOC stocks in the topsoil (0-30 cm) were tabulated with relevant metadata attached.
DOI: 10.5281/zenodo.10876207
title: Data generated from calculations in "Gauge Field Dynamics in a Multilayer Kitaev Spin Liquid"

description: The Kitaev honeycomb model hosts a quantum spin liquid in its ground state, where the excitations are gapless Majorana fermions and static Z2 gauge fluxes called visons. We consider Kitaev models stacked on top of each other, weakly coupled by Heisenberg interaction linear in J⊥. This inter-layer coupling breaks the integrability of the model and makes the gauge fields dynamic. While single visons stay static in this model, an inter-layer pair of visons can hop with a hopping amplitude linear in J⊥, but remains confined to a single plane. An intra-layer vison-pair, in contrast, is constrained to move along the stacking direction only. Depending on the anisotropy of the Kitaev couplings Kx,Ky,Kz, the intra-layer vison pairs show completely different dynamical behaviours. While coherent intra-layer tunnelling is possible for sufficiently strong anisotropies, only incoherent processes are possible in the isotropic case. When a magnetic field opens a gap for Majorana fermions, one can identify two types of intra-layer vison pairs, one bosonic and one fermionic. Only the bosonic pair obtains a hopping rate linear in J⊥. We argue that our results can be used to identify leading instabilities of the Kitaev phase induced by the inter-layer coupling.