cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4298978
title: WRF data for downscaling, used in Learned multi-resolution dynamical downscaling for precipitation

description: This study uses regional climate model (RCM) simulated precipitation at low and high spatial resolution, to develop convolution neural network (CNN) based approaches, that can emulate high resolution modeled data using low resolution modeled data with cheaper computational resource than running dynamical downscaling at the high spatial resolution. Specifically, we define two types of CNNs, one that stacks variables directly and one that encodes each variable before stacking, and train each CNN type both with a conventional loss function, such as Mean Square Error (MSE), and with a conditional generative adversarial network (CGAN), for a total of four CNN variants. We compare the four new CNN-derived high resolution precipitation with precipitation generated from a bi-linear interpolater and the state-of-the-art CNN-based super-resolution (SR) technique, using the original high resolution precipitation from the RCM as ground truth. We find that SR technique produces similar results to the interpolator with smoother spatial and temporal distributions and smaller data variabilities and extremes than ground truth shows. While the new CNNs trained by MSE generate better results over some regions than the interpolator and SR technique, their predictions are still not as close as ground truth. The CNNs trained by CGAN generate more realistic and physically reasonable results. This advanced technique improves not only the data variability in time and space, and but also the extremes, such as intense and long-lasting events, based on event-feature tracking algorithm.
DOI: 10.5281/zenodo.804474
title: Application Domain Of 5,000 Github Repositories

description: We provide a manual classification of the application domain of 5,000 GitHub repositories (the most popular ones, by number of stars, on January, 2017).<br>
<br>
We classified each system in one of the following application domains:


	<strong>Application software:</strong> systems that provide functionalities to end-users, like browsers and text editors (e.g., WordPress/WordPress and adobe/brackets).
	<strong>System software:</strong> systems that provide services and infrastructure to other systems, like operating systems, middleware, and databases (e.g., torvalds/linux and mongodb/mongo).
	<strong>Web libraries and frameworks</strong> (e.g., twbs/bootstrap and angular/angular.js).
	<strong>Non-web libraries and frameworks</strong> (e.g., google/guava and facebook/fresco).
	<strong>Software tools:</strong> systems that support development tasks, like IDEs, package managers, and compilers (e.g., Homebrew/homebrew and git/git).
	<strong>Documentation:</strong> repositories with documentation, tutorials, source code examples, etc. (e.g., iluwatar/java-design-patterns).


To cite the dataset, please use the following paper (which proposes and uses a first dataset version):

Hudson Borges, Andre Hora, Marco Tulio Valente. <em>Understanding the Factors that Impact the Popularity of GitHub Repositories</em>. In 32nd IEEE International Conference on Software Maintenance and Evolution (ICSME), pages 334-344, 2016.
DOI: 10.5281/zenodo.842988
title: Cdn List

description: CDN IP range.
DOI: 10.5287/bodleian:eqapevan8
title: Cities database
DOI: 10.6084/m9.figshare.20938039
title: M2020 Perverance Mars Pressure Analysis

description: Data analisis for figures in the paper: Mars 2020 Perseverance rover studies of the Martian atmosphere over Jezero from pressure measurements JGR-Planets
DOI: 10.18141/1828278
title: Southeast-PA-Diabase

description: Computed tomography and high-resolution core log data associated with the technical report "Computed Tomography Scanning and Geophysical Measurements of the Southeastern Pennsylvania Triassic Diabase Core" Schmitt, R.; Paronish, T.; Crandall, D.; Moore, J.; Neubaum, J.; Andrews, G. "Computed Tomography Scanning and Geophysical Measurements of the Southeastern Pennsylvania Triassic Diabase Core; DOE.NETL-2021.2843; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2021; p 104
DOI: 10.5281/zenodo.7254963
title: China Air Quality Observation

description: 20171007-20171010 China Air Quality Observation uesd in the sutdy“Impact of aerosols on convective system over the North China Plain: a numerical case study in autumn”
DOI: 10.13026/3akn-b287
title: VinDr-CXR: An open dataset of chest X-rays with radiologist annotations

description: We describe here a dataset of more than 100,000 chest X-ray scans that were
retrospectively collected from two major hospitals in Vietnam. Out of this raw
data, we release 18,000 images that were manually annotated by a total of 17
experienced radiologists with 22 local labels of rectangles surrounding
abnormalities and 6 global labels of suspected diseases. The released dataset
is divided into a training set of 15,000 and a test set of 3,000. Each scan in
the training set was independently labeled by 3 radiologists, while each scan
in the test set was labeled by the consensus of 5 radiologists. All images are
in DICOM format and the labels from training and test sets are made publicly
available.
DOI: 10.13026/c2h59w
title: PAF Prediction Challenge Database

description: This database of two-channel ECG recordings has been created for use in the Computers in Cardiology Challenge 2001, an open competition with the goal of developing automated methods for predicting paroxysmal atrial fibrillation (PAF). See the challenge announcement for information about the competition, and see Predicting Onset of Atrial Fibrillation for a brief overview of the clinical problem, its significance, and suggestions for further reading on the subject.
DOI: 10.5066/p98pc526
title: Quantitation of estrogens in water, alone and in combination with atrazine, using two chemically-activated luciferase expression, CALUX, bioassays and quadrupole-time of flight ultraperformance liquid chromatography/mass spectrometry, UPLC-MS

description: This data describes the relative luminescence units and relative fluorescence units of lysates of two estrogen responsive chemically-activated luciferase expression human breast VM7Luc4E2 and VM7LucERbc9 cells which were exposed for 24 hours to estrone and 17beta-estradiol dilutions alone and in mixture with atrazine or water extracts collected from dilutor tanks during a fish exposure study utilizing estrone and atrazine. The data for corresponding measurements of estrone in the water extracts by liquid chromatography-mass spectrometry are also shown. This data also describes relative fluorescence units of bovine serum albumin standards which were used to convert the relative fluorescence units of the cell lysates to protein with which to normalize the relative luminescence units of the cell lysates.
DOI: 10.5281/zenodo.3778646
title: The DSI dataset for Wi-Fi fingerprinting using mobile devices

description: The provided data were collected at the first floor of building 11 of the University of Minho, Portugal, Azurém Campus (Department of Information Systems – DSI), between 2 and 3 of May 2016. Data was collected by a single person, using a Nvidia Shield tablet running Android 6.0.
DOI: 10.5281/zenodo.7033943
title: WRF dataset for soil moisture initialization experiments

description: Modeling results of "Role of Land–Atmosphere Interaction in the 2016 Northeast Asia Heat Wave: Impact of Soil Moisture Initialization", by Yoon et al. (submitted). Data contains the modeling outputs (500GPH, SAT and soil moisture) from CTL and LIS experiments. Detailed description can be founded in the research paper.
DOI: 10.1285/i20356609v10i3p896
title: Emotions in Inter-Action in Environmental Resistances. The case of Comité Salvabosque in Mexico

description: The article analyzes the role of emotions in the experience of a grassroots Mexican group, that is defending an urban forest threated by residential developments. The resistance of this group, started in 2005, is marked by significant place attachment, which has been nurtured and enhanced all along the struggle. The aim of the article is to understand how place attachment is strengthened in urban contexts and why it is a core affective bond for defending the territory. Our hypothesis is that it is a dynamic and mobilizing bond, and its relevance resides in the emotions it generates, which in turn have different effects on the protest. In order to confirm our hypothesis we have analyzed the emotional dimension of the resistances in defense of the forest, through in-depth interviews. The analysis will specifically focus on emotions that strengthen and go together with place attachment.
DOI: 10.5281/zenodo.2422561
title: Standardized Project Gutenberg Corpus

description: <strong>Standardized Project Gutenberg Corpus</strong><br>
version: SPGC-2018-07-18<br>
number of books: 55905<br>
uncompressed size: 3GB (counts) + 18GB (tokens)

<strong>Publication</strong><br>
https://arxiv.org/abs/1812.08092<br>
[ journal link ]

<strong>Project Site</strong><br>
https://pgcorpus.github.io/

<strong>Github</strong><br>
https://github.com/pgcorpus/gutenberg
DOI: 10.5281/zenodo.3363987
title: OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information

description: <strong>OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information</strong> This repository contains the official data from a USDOE-funded project at Carnegie Mellon University and Bosch Research Pittsburgh. The primary goal of the project was to investigate the relationship between indoor commercial building occupant thermal comfort and various biometric and environmental predictors. We performed 77 individual comfort experiments, approved by our Institutional Review Board (IRB) and in satisfaction of participant consent guidelines. Our goal was to generate a dataset than enables comprehensive study of human thermal comfort preferences, in a commercial building environment, across a wide range of indoor environmental conditions. The data is comprised of the following feature groups: depth camera frames, biometrics sensor data, body shape information, subjective comfort data from the mobile device application, environmental sensor data from the commercial building HVAC system, and outdoor weather station data. This is the official dataset release for the following conference paper: Jonathan Francis*, Matias Quintana*, Nadine von Frankenberg, Sirajum Munir, and Mario Bergés. 2019. OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information. In BuildSys '19: ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, November 13–14, 2019, New York, NY. ACM, New York, NY, USA, 10 pages. To use this dataset, first download <strong>all</strong> the files. Next, issue the following commands on, e.g., Linux terminal: <pre><code class="language-bash">&gt;$ cd /path/to/dataset/files &gt;$ cat occutherm_dataset_v0-0-0.tar.gza* &gt; archive.tar.gz &gt;$ tar -xvzf archive.tar.gz</code></pre> Modeling and mobile application code are available in our project repository: https://github.com/jonfranc/occutherm If you find the repository or the dataset useful, please cite our paper: <pre><code>@inproceedings{francis_buildsys2019, author = {Francis, Jonathan and Quintana, Matias and von Frankenberg, Nadine and Munir, Sirajum and Berges, Mario}, title = {OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information}, booktitle = {Proceedings of the 6th International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation}, series = {BuildSys '19}, year = {2019}, isbn = {978-1-4503-7005-9/19/11}, location = {New York, NY}, numpages = {10}, acmid = {3360858}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {Thermal Comfort, Human Studies, Machine Learning}, }</code></pre>
DOI: 10.5281/zenodo.3653856
title: Dataset of "Primers or Reminders? The Effects of Existing Review Comments on Code Review"

description: Dataset of "Primers or Reminders? The Effects of Existing Review Comments on Code Review". See README.md for more information.
DOI: 10.6084/m9.figshare.21865284
title: Supplementary Material for: CYP3A5 Expressor Genotype of the Transplanted Kidney Increases the Risk of Preterm Graft Loss and Acute Rejection

description: <b><i>Introduction:</i></b> Tacrolimus is metabolized mainly in the liver by the CYP3A enzyme family, with a particularly well-documented role of CYP3A5. CYP3A5 is also expressed in the renal tissue and is present in the transplanted kidney. To date, the association between donor <i>CYP3A5</i> polymorphisms and transplant outcome remains poorly understood. The aim of this study was to assess the effect of donor CYP3A5 expression on early and long-term transplant outcomes. <b><i>Methods:</i></b> A retrospective cohort study including 207 patients who received kidney grafts from 110 deceased donors was conducted at a single Central European Center. Tissue samples from all donors were studied for <i>CYP3A5</i> single-nucleotide polymorphism (rs776746). Death-censored graft loss within 5-year follow-up, acute rejection occurrence, and kidney function, measured using serum creatinine and MDRD eGFR, were compared between groups of patients with allografts from rs776746 carriers (CYP3A5 expressors) and noncarriers (CYP3A5 nonexpressors). <b><i>Results:</i></b> Recipients who received kidneys from CYP3A5 expressors (<i>n</i> = 24) were at significantly higher risk of death-censored graft loss within 5-year follow-up (adjusted HR, 95% CI: 6.82, 2.01–23.12; <i>p</i> = 0.002) and acute rejection within the 1st posttransplant year (adjusted OR, 95% CI: 4.62, 1.67–12.77; <i>p</i> = 0.003) than those who did not (<i>n</i> = 183). The median time to loss of function was 1.93 [IQR; 0.77–3.19] years. <b><i>Conclusions:</i></b> Donor CYP3A5 expressor status is associated with worse renal graft survival and a higher risk of acute rejection. Determination of donor <i>CYP3A5</i> genotype is a potentially useful tool that may improve kidney transplant outcomes.
DOI: 10.5281/zenodo.3342526
title: Wi-Fi Fingerprinting dataset with multiple simultaneous interfaces

description: This dataset was collected within the context of a research project aiming to develop an indoor positioning system for autonomous industrial vehicles. This positioning system is based on fusing data from Wi-Fi sensors, magnetic encoders, and an IMU, using a particle filter. Wi-Fi data is first processed using Wi-Fi fingerprinting. One of the unique characteristics of this system is that it uses Wi-Fi fingerprints collected simultaneously from multiple, synchronised, Wi-Fi interfaces. Some results about the benefits of using multiple Wi-Fi interfaces are described in: Moreira, A., Silva, I., Meneses, F., Nicolau, M. J., Pendao, C., & Torres-Sospedra, J. (2017, September). Multiple simultaneous Wi-Fi measurements in fingerprinting indoor positioning. In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN) (pp. 1-8). IEEE. http://dx.doi.org/10.1109/IPIN.2017.8115914 These data were collected at a university building that resembles an industrial floor plant, with a total area of around 1000 m2. The data were collected in July 2017. The data collection setup was based on a Raspberry Pi 3 Model B with its internal Wi-Fi interface, and four additional USB Wi-Fi interfaces (Edimax EW-7811un).
description: This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundação para a Ciência e Tecnologia within the scope of project UID/CEC/00319/2019, by the Portugal Incentive System for Research and Technological Development in the scope of projects in co-promotion no 002814/2015 (iFACTORY 2015-2018).
DOI: 10.17188/1313324
title: Materials Data on GeAs by Materials Project

description: GeAs is Hittorf-derived structured and crystallizes in the monoclinic C2/m space group. The structure is one-dimensional and consists of two GeAs ribbons oriented in the (0, 1, 0) direction. there are three inequivalent Ge3+ sites. In the first Ge3+ site, Ge3+ is bonded in a trigonal non-coplanar geometry to three As3- atoms. There are one shorter (2.48 Å) and two longer (2.49 Å) Ge–As bond lengths. In the second Ge3+ site, Ge3+ is bonded in a trigonal non-coplanar geometry to three As3- atoms. There are one shorter (2.49 Å) and two longer (2.50 Å) Ge–As bond lengths. In the third Ge3+ site, Ge3+ is bonded in a trigonal non-coplanar geometry to three As3- atoms. There are two shorter (2.50 Å) and one longer (2.52 Å) Ge–As bond lengths. There are three inequivalent As3- sites. In the first As3- site, As3- is bonded in a distorted T-shaped geometry to three Ge3+ atoms. In the second As3- site, As3- is bonded in a distorted T-shaped geometry to three Ge3+ atoms. In the third As3- site, As3- is bonded in a distorted T-shaped geometry to three Ge3+ atoms.
DOI: 10.21951/1781642
title: Hydropower Infrastructure - LAkes, Reservoirs, and RIvers (HILARRI)

description: HILARRI is a database of links between major datasets of operational hydropower dams and powerplants (National Inventory of Dams (2019), Global Reservoir and Dam Database (GRanD v1.3), Existing Hydropower Assets (EHA 2020), and inland water bodies (NHDPlusV2 river network, NHD water bodies, NHD Watershed Boundary Dataset, HydroLAKES).
DOI: 10.3886/e140961v1
title: Data and Code for: Mistakes, Overconfidence and the Effect of Sharing on Detecting Lies

description: Mistakes and overconfidence in detecting lies could help lies spread. Participants in our experiments observe videos in which senders either tell the truth or lie, and are incentivized to distinguish between them. We find that participants fail to detect lies, but are overconfident about their ability to do so. We use these findings to study the determinants of sharing and its effect on lie detection, finding that even when incentivized to share truthful videos, participants are more likely to share lies. Moreover, the receivers are more likely to believe shared videos. Combined, the tendency to believe lies increases with sharing.
description: other;
DOI: 10.5281/zenodo.4281271
title: Global, Regional, and National Fossil-Fuel CO2 Emissions: 1751-2017

description: This data product is a time series of Carbon Dioxide (CO2) emissions from fossil fuel combustion and cement manufacture. Estimates of CO2 emissions are included for the globe and by nation back to 1751, and include emissions from solid fuel consumption, liquid fuel consumption, gas fuel consumption, cement production, and gas flaring. Per capita CO2 emissions and emissions from international trade (bunker fuels) are included as well; bunker fuels are not included in country totals, but are assigned to the country in which loading took place. Estimates are generated using the United Nations Energy Statistics database and the United States Geologic Survey’s cement statistics. Datasets produced from this group at Appalachian State University are located at https://data.ess-dive.lbl.gov/view/doi:10.15485/1712447, and are also located at https://energy.appstate.edu/research/work-areas/cdiac-appstate. Historic CDIAC data from Oak Ridge National Laboratory are located here: https://data.ess-dive.lbl.gov/view/doi:10.3334/CDIAC/00001_V2017. This dataset is the foundational dataset for the annual global carbon budget and other carbon cycle analyses that need relevant fossil fuel CO2 data. Within this data package are spreadsheets (.csv) of global and national estimates of CO2 emissions as well as text files of the ranking of each country’s total CO2 emissions and per capita for that year
DOI: 10.5281/zenodo.4438721
title: Last interglacial (MIS 5e) sea-level proxies in Cyprus, Eastern Mediterranean

description: This file is a record of relative sea level proxies of the last Interglacial sea-level (MIS 5e) along the Cyprus coastline. It has been exported from the World Atlas of Last Interglacial Shorelines - WALIS
DOI: 10.5281/zenodo.5095643
title: Inclusion and Exclusion Criteria in Software Engineering Tertiary Studies: A Systematic Mapping and Emerging Framework - Replication Package

description: Replication Package for the paper: D. Costal, C. Farré, X. Franch, C. Quer. 2021. Inclusion and Exclusion Criteria in Software Engineering Tertiary<br> Studies: A Systematic Mapping and Emerging Framework. ESEM '21, https://doi.org/10.1145/3475716.3484190 Please refer to the above paper if you want to cite/use this data.
DOI: 10.6084/m9.figshare.14178908.v1
title: Study of Antibodies to Cytolethal Distending Toxin B (CdtB) and Antibodies to Vinculin in Patients with Irritable Bowel Syndrome

description: biomarkers for irritable bowel.<br>
DOI: 10.6084/m9.figshare.21362493
title: SouthTRAC fligth 08. HALO-ALIMA data

description: Fligth number 8 during SouthTRAC campain. HALO (High Altitude and Long Range Research Aircraft) and ALIMA (airbone LIDAR)
DOI: 10.7927/h4pn93jj
title: Global Subnational Infant Mortality Rates, Version 2
title: Global Subnational Infant Mortality Rates, v2 (2014)

description: The Global Subnational Infant Mortality Rates, Version 2 consist of infant mortality rate (IMR) estimates for 234 countries and territories, 143 of which include subnational units. The data are benchmarked to the year 2015 (Version 1 was benchmarked to the year 2000), and are drawn from national offices, Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other sources from 2006 to 2014. Boundary inputs are derived primarily from the Gridded Population of the World, Version 4 (GPWv4). National and subnational data are mapped to grid cells at a spatial resolution of 30 arc-seconds (~1 km) allowing for easy integration with demographic, environmental, and other spatial data.
DOI: 10.5281/zenodo.1066041
title: Long-Term Wi-Fi fingerprinting dataset and supporting material

description: WiFi measurements database for UJI's library and supporting material. The measurements were collected by one person using one Android smartphone during 15 months at two floor of the library building from Universitat Jaume I, in Spain. It contains 63,504 WiFi fingerprints, which are organized into datasets. Each dataset is the result of a collection campaign. The supporting material includes Matlab® scripts to load and filter the desired data, and provides examples on possible studies that the database may enable. The supporting material also includes the bookshelve local coordinates. Citation request: G.M. Mendoza-Silva, P. Richter, J. Torres-Sospedra, E.S. Lohan, J. Huerta, "Long-Term<br> Wi-Fi fingerprinting dataset and supporting material", Zenodo repository, DOI 10.5281/zenodo.1066041.
description: Germán M. Mendoza-Silva gratefully acknowledges funding from grant PREDOC/2016/55 by Universitat Jaume I.
DOI: 10.5281/zenodo.7007362
title: HippUnfold HCP-YA Training Data

description: Hippocampal Tissue segmentations, T1w, T2w, and mean DWI b1000 images in upsampled 0.3mm left and right bounding boxes around the hippocampus. Subjects are from the HCP-1200 Young Adult dataset. These data were used to train the current HippUnfold U-net segmentation models. Unzip all the zip files, folders will be created for the labelmaps, T1w, T2w, and b1000 images for each hemisphere and subject. Left hipp labels are already L-R flipped to the right side. Labelmap lookup table: <pre>index name abbreviation 1 hippocampal grey matter GM 2 SRLM or 'dark band' SRLM 3 neocortex (entorhinal or parahippocampal) MTLC 4 pial surface Pial 5 hippocampal-amygdalar transition area HATA 6 indusium griseum IndGris 7 cysts Cyst 8 dentate gyrus DG</pre>