cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4543539
title: Model America - Clark County (Vegas) extract from ORNL's AutoBEM

description: Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (bit.ly/AutoBEM). <strong>Critical note: Building multipliers and models will be updated soon.</strong> Two sets of data are provided for 589,586 buildings located within the boundary of Clark County (Las Vegas) in the United States: <strong>Data (185MB *.csv) - minimalist list of each building (rows) for the following fields (columns)</strong> County - county name State - state name CZ - ASHRAE Climate Zone designation Clim_Zone - text label of climate zone est_year - estimated year of construction est_commercial - estimated building type (0=residential, 1=commercial) Centroid - building center location in latitude/longitude (from Footprint2D) Footprint2D - building polygon of 2D footprint (lat1/lon1_lat2/lon2_...) Height - building height (meters) ID - unique building ID Area2D - footprint area (ft<sup>2</sup>) BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings) NumFloors - number of floors (above-grade) Area - estimate of total conditioned floor area (ft<sup>2</sup>) Standard - building vintage <strong>Models (9.2GB *.tar.gz) - EnergyPlus building energy models named according to ID</strong> Each model has approximately 3,000 building input descriptors that can be extracted. Please see the EnergyPlus (v9.4) 2,784-page Input/Output Reference Guide for everything that can be retrieved or simulated from these models.
description: Integrated Multisector Multiscale Modeling (IM3) project - https://im3.pnnl.gov/
DOI: 10.5281/zenodo.4626137
title: Clark County (Vegas) Archetypes from ORNL's AutoBEM

description: Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (bit.ly/AutoBEM). To reduce computational demand for representing energy-related performance of a specific portion of the building sector, AutoBEM can dynamically generate archetype buildings along with multipliers based on conditioned floor area. This was performed for all residential and commercial buildings in Clark County, Nevada. For the original dataset of all 589,586 buildings, please refer to http://doi.org/10.5281/zenodo.4552901. <strong>Critical note: Building multipliers and models will be updated soon.</strong> Two sets of data are provided for 129 archetype models and 120 multipliers for Clark County (Las Vegas), Nevada in the United States. There are 129 models and only 120 multipliers since 9 building type*vintage categories contain only 1 building: <strong>Data (42kB *.csv) - minimalist list of each archetype building (rows) for the following fields (columns)</strong> County - county name State - state name CZ - ASHRAE Climate Zone designation Clim_Zone - text label of climate zone est_year - estimated year of construction est_commercial - estimated building type (0=residential, 1=commercial) Centroid - building center location in latitude/longitude (from Footprint2D) Footprint2D - building polygon of 2D footprint (lat1/lon1_lat2/lon2_...) Height - building height (meters) ID - unique building ID Area2D - footprint area (ft<sup>2</sup>) BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, average 40% for commercial buildings varying by building type) NumFloors - number of floors (above-grade) Area - estimate of total conditioned floor area (ft<sup>2</sup>) Standard - building vintage Area_Multiplier - amount simulation outputs should be multiplied by to represent all 589,586 buildings in Clark County <strong>Models (2.6MB *.zip) - EnergyPlus building energy models named according to ID</strong>
description: Integrated Multisector Multiscale Modeling (IM3) project - https://im3.pnnl.gov/
DOI: 10.25773/29kb-t479
title: Coastal Virginia Social Vulnerability Index at the Block Group Level
DOI: 10.13012/b2idb-1194770_v1
title: SBKS - Species Ambiguous Entity Mentions

description: Related to the raw entity mentions, this dataset represents the effects of the data cleaning process and collates all of the entity mentions which were too ambiguous to successfully link to the NCBI's taxonomy identifier system.
DOI: 10.6084/m9.figshare.20407329
title: Prototyping in Software Quality Assurance: A Survey With Software Practitioners - Complementary material

description: Survey on prototyping in the software development industry.
DOI: 10.6084/m9.figshare.20407329.v5
title: Prototyping in Software Quality Assurance: A Survey With Software Practitioners - Complementary material

description: Survey on prototyping in the software development industry.
DOI: 10.6084/m9.figshare.20407329.v4
title: Prototyping in Software Quality Assurance: A Survey With Software Practitioners - Complementary material

description: Survey on prototyping in the software development industry.
DOI: 10.5281/zenodo.6945252
title: Benchmarks from the paper titled "An SMT-LIB Theory of Heaps" submtted to SMT 2022

description: Benchmarks from the paper titled "An SMT-LIB Theory of Heaps" submtted to SMT 2022 <strong>benchmarks/</strong><br> This directory contains all benchmarks (excluding SV-Comp sources).<br> - <strong>benchmarks/heap</strong> contains all heap benchmarks (smt2). <br> - <strong>benchmarks/heap2array</strong> contains all heap2array encoded benchmarks (smt2). The source benchmarks from SV-Comp 2022 (`.c` and `.i` files together with their accompanying `.yml` files) are not provided in this repository due to licensing reasons, but the files are freely available for download: https://zenodo.org/record/5831003/export/hx
DOI: 10.5281/zenodo.6945251
title: Benchmarks from the paper titled "An SMT-LIB Theory of Heaps" submtted to SMT 2022

description: Benchmarks from the paper titled "An SMT-LIB Theory of Heaps" submtted to SMT 2022 <strong>benchmarks/</strong><br> This directory contains all benchmarks (excluding SV-Comp sources).<br> - <strong>benchmarks/heap</strong> contains all heap benchmarks (smt2). <br> - <strong>benchmarks/heap2array</strong> contains all heap2array encoded benchmarks (smt2). The source benchmarks from SV-Comp 2022 (`.c` and `.i` files together with their accompanying `.yml` files) are not provided in this repository due to licensing reasons, but the files are freely available for download: https://zenodo.org/record/5831003/export/hx
DOI: 10.5517/ccdc.csd.cc27vn6z
title: CCDC 2081191: Experimental Crystal Structure Determination

description: Related Article: Xuefeng Wang|2021|CSD Communication|||
description: Related Article: Xuefeng Wang, Jun Zhang, Qi Chen, Wei Zhou, Jie Wu|2022|Chin.Chem.Lett.|33|4860|doi:10.1016/j.cclet.2022.02.025
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21227/vqkd-7f86
title: Core Drilling Experiment Original Data by Automatic Electric Drive Drilling System

description: Various experimental data of automated drilling system
DOI: 10.6084/m9.figshare.15079074.v1
title: Supplemetary material final draft.docx

description: Evaluation of intestinal response to zinc restriction in pigs.Supplementary table 1 shows the growth performance of pigs in different treatment groups. Supplementary tables 2 and 3 show the differentially expressed genes (DEGs) in ZnR compared with ZnCl100 and ZnCl50 respectively.Supplementary tables 4-11 show the panther analysis of the DEGs. Supplementary figure 1 shows top three upregulated and downregulated canonical pathways through IPA analysis of differentially expressed genes in ZnCl100 compared with ZnCl50. Z-score &gt;2 or &lt;-2 were considered significantly upregulated (black columns) or downregulated (grey columns) respectively. n=8 for ZnCl100 and ZnCl50. Supplementary figure 2 shows independent examination of tissue samples by qPCR revealed significant changes similar to log2 fold change values in DEGs. * Mann-Whitney unpaired non-parametric test (p&lt;0.05 was considered significant). n=7 for ZnR, n=8 for ZnCl100 and ZnCl50.
DOI: 10.17632/jztcm84s96.1
title: Optogenetic Stim Study

description: Curated data from Experiments 1 and 2 of our optogenetic stimulation of transplanted cells study.
DOI: 10.17632/3wnzrgkz6j.1
title: Data for Corrosion of Stainless Steel with Carbon Nanotube Coatings

description: This data describes corrosion tests performed on samples of stainless steel that were coated with carbon nanotubes.
DOI: 10.17632/ktc6gbfsbh.1
title: Ames Mutagenicity Dataset for Multi-Task Learning 

description: The dataset contains 5536 molecular compounds represented by their SMILES code and 1360 molecular descriptors calculated with Mordred. In addition to this data, it contains the respective labels for each compound (1: mutagenic / 0: non-mutagenic) for each of the five strains (TA98, TA100, TA102, TA1535, TA1537) and a general label (Overall) that corresponds to the ground-truth consensus label used for evaluating the final Ames mutagenicity prediction. There is a third label on the dataset: -1 (undefined). Those compounds that have an undefined label in one or more strains, but have either positive or negative labels in the remaining strains can be considered in the multi-task modeling process.
The compounds listed were originally compiled by the Istituto Superiore di Sanita’ (https://www.iss.it/isstox) and result from an exhaustive pre-processing stage, consisting of different filtering, sanitization, and canonicalization steps. 

The dataset aims to be a source for QSAR modeling of Ames mutagenicity. It provides information on the mutagenic potential for a variety of S. Typhimurium strains and the Overall label.

The .csv file contains the necessary information to be used for predictive modeling tasks. The columns "TA98", "TA100", "TA102", "TA1535", "TA1537" correspond to the labels calculated for each strain, while the column "Overall" corresponds to the consensus label used to evaluate the final prediction of mutagenicity. The "Partition" column shows three values: "Train", "Internal" and "External", which allows identifying the data partition to which each compound was assigned during our experimentation process. All remaining columns correspond to molecular descriptors calculated using Mordred.
DOI: 10.17632/7jsd4yfrg7.1
title: LINF_310007500

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/4bs4rtzy4b.1
title: LINF_310007400

description: polyadenylation complex protein | CstF64
Leishmania infantum (strain JPCM5)
DOI: 10.17632/9n8nctybvk.1
title: LINF_310007100

description: YTM1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/bkgrrrn4dr.1
title: LINF_310007000

description: nucleolar protein 2 | NOP2
Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.20412639
title: High-content imaging data

description: # Scope These are microscopy image datasets of a a primary screen and two secondary siRNA screens for histone regulators in the breast cancer cell line MDA-MD-231. The datset is part of an article by Bruhn et al., 2022 (Communications Biology). <br> # Associated sample information For each screen, a separate sample map is provided in tab-separated format. The "dataset" column designates the folder in which the associated data are stored. Other columns indicate the stainings (channels), the siRNA targets. <br> # Folder and file structure Each of the 3 screening folders contains one subfolder per screening plate. Each plate folder contains one subfolder per column group that was acquired within a single run. Each column group folder contains one subfolder per optical field with the nomenclature OPTICALFIELD_WELL Each OPTICALFIELD_WELL folder contains one subfolder per channel Each channel folder contains a subfolder "stack1" in which the image is stored in ets format (frame_t_0.ets) <br> # Additional information Detailed technical information on sample preparation and image evaluation can be found in the associated article.
DOI: 10.5281/zenodo.6950121
title: Supplementary videos behavior

description: Supplementary material of the titled research: Larval exposure to agrochemicals changes the behavior but not the gut microbiota of adults of the stingless bee <em>Partamona helleri</em>
DOI: 10.5281/zenodo.6950120
title: Supplementary videos behavior

description: Supplementary material of the titled research: Larval exposure to agrochemicals changes the behavior but not the gut microbiota of adults of the stingless bee <em>Partamona helleri</em>
DOI: 10.34740/kaggle/dsv/4017062
title: Elon Musk Tweets
DOI: 10.7284/104566
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise HRS110705BC using a RDI VmDas instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/108900
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise HRS110705BC using a SeaBird SBE-911+ instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6073/pasta/c5033b64fc57e2b3da45c8f8541bd98a
title: Analysis of papers produced and cited by synthesis center-type groups in the USA and France, 2010-2020, and open-source feedback from those groups

description: This data package supports Specht and Crowston "Interdisciplinary collaboration from diverse science teams can produce significant outcomes", an analysis of papers cited by twenty two synthesis-center-type groups in the USA and France from 2010 - 2020. This package contains three data objects: the first is a collation and classification by research field (using the Australia and New Zealand Fields of Research Classification) of publication outputs by these working groups. Second is a matrix (long format) matching research disciplines to citations of publications in these publication outputs. The third data object is a document of free-text, voluntary feedback from synthesis participants in response to the questions “how effective was group function”; “how satisfied were you with the function of the group?”; and “in your opinion, what were the primary factors that contributed to your working group’s effectiveness or lack thereof”. The groups studied were formed between 2010 and 2015 and sponsored by three organisations. Data collation ceased in August 2020. All data has been anonymized to ensure that none of the sponsoring organisations, synthesis groups or individuals can be identified.
DOI: 10.6084/m9.figshare.20415786
title: Ferrero et al GRK2 Interactome SupplData.xlsx

description: Supplemental data for "<strong>Proteomic and Systemic Analysis of the Cardiomyocyte GRK2 Interactome Uncovers Injury-Dependent Signaling Bias"</strong>
DOI: 10.5066/p9nxnx61
title: Seafloor Elevation Change from the 1930s to 2016 Along the Florida Reef Tract, USA

description: The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes along the Florida Reef Tract (FRT) from Miami to Key West within a 982.4 square-kilometer area. USGS staff calculated changes in seafloor elevation from the 1930s to 2016 using digitized historical hydrographic surveys (H-sheets) acquired by the U.S. Coast and Geodetic Survey (USCGS) in the 1930s and light detection and ranging (lidar)-derived digital elevation models (DEMs) acquired by the National Oceanic and Atmospheric Administration (NOAA) in 2016 and 2017. Most of the elevation data from the 2016/2017 time period were collected during 2016, so as an abbreviated naming convention, we refer to this time frame as 2016. An elevation change analysis between the 1930s and 2016 data was performed to quantify and map impacts to seafloor elevation and to determine elevation and volume change statistics for 14 habitat types found within the study area along the FRT. Data were collected under Florida Keys National Marine Sanctuary permit FKNMS-2016-068.
DOI: 10.6084/m9.figshare.20393277
title: Data of Proximate Drivers of Population-Level Lizard Gut Microbial Diversity: Impacts of Diet, Insularity, and Local Environment

description: Raw data of the study
DOI: 10.6084/m9.figshare.20393277.v1
title: Data of Proximate Drivers of Population-Level Lizard Gut Microbial Diversity: Impacts of Diet, Insularity, and Local Environment

description: Raw data of the study
DOI: 10.6084/m9.figshare.20415843
title: Table S2

description: Table S2 pangenomic summary .csv file.
DOI: 10.6084/m9.figshare.20415843.v1
title: Table S2

description: Table S2 pangenomic summary .csv file.
DOI: 10.6084/m9.figshare.20415852
title: Table S3

description: Table S3 cell volume calculations
DOI: 10.6084/m9.figshare.20415852.v1
title: Table S3

description: Table S3 cell volume calculations
DOI: 10.6084/m9.figshare.20415825
title: Carbon Sequestration of Dwarf Red Mangrove in The Bahamas

description: Dataset supporting the publication: Carbon Sequestration of Dwarf Red Mangrove in The Bahamas
DOI: 10.6084/m9.figshare.20415825.v1
title: Carbon Sequestration of Dwarf Red Mangrove in The Bahamas

description: Dataset supporting the publication: Carbon Sequestration of Dwarf Red Mangrove in The Bahamas
DOI: 10.7284/103423
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise MV1102 using a SeaBird SBE-911+ instrument system onboard the platform RV Melville

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/103440
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise MV1104 using a SeaBird SBE-911+ instrument system onboard the platform RV Melville

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.20412375.v2
title: Referencias bibliográficas - Cordillera del Cóndor y Kutukú

description: Base de datos de referencias bibliográficas sobre el tema de biodiversidad de la Cordillera del Cóndor
DOI: 10.6084/m9.figshare.20412162.v3
title: Referencias bibliográficas - Tapirus pinchaque

description: Base de datos bibliográfica sobre Tapirus pinchaque
DOI: 10.5255/ukda-sn-855861
title: ASPIRE COVID-19 Work Package 2: National Stakeholders Interviews, the Netherlands, 2020-2022

description: *The dataset is a collection of data undertaken by the members of Work Package 2 (WP2), of the ASPIRE COVID-19 project, funded by the Economic and Social Research Council (ESRC), as part of UK Research and Innovation’s rapid response to COVID-19 [grant number ES/V004581/1]. Full details of the main study are available via ResearchRegistry (researchregistry5911) and via UKRI Gateway (https://gtr.ukri.org/projects?ref=ES%2FV004581%2F1). This dataset contains interviews (n=13) with leads (stakeholders in maternal and neonatal care) in relevant national governmental, professional, and service user organisations in the Netherlands (See section WP2 – point 3). *13 anonymised semi-structured interviews – transcribed (NL only). *The relevant UK dataset can be found here: https://doi.org/10.17030/uclan.data.00000319
DOI: 10.5255/ukda-sn-855862
title: ASPIRE COVID-19 Work Package 2: Babies Born Better Survey, United Kingdom and the Netherlands, 2020

description: This is a collection of data undertaken by the members of Work Package 2 (WP2), of the ASPIRE COVID-19 project, funded by the Economic and Social Research Council (ESRC), as part of UK Research and Innovation’s rapid response to COVID-19 [grant number ES/V004581/1]. The collection contains two datasets: 1) Anonymised Babies Born Better survey responses (quantitative only) recorded between 18th June 2020 and December 31st 2020 for women who gave birth to their most recent baby between 2017 and December 2020 in the UK and the Netherlands(available under standard Safeguarded access); 2) Anonymised Babies Born Better survey responses (qualitative only) recorded between 18th June 2020 and December 31st 2020 for women who gave birth to their most recent baby between 2017 and December 2020 in the UK and the Netherlands (available under Permission Only Saefguarded access).
DOI: 10.6084/m9.figshare.19962915
title: Presence of aflatoxins in hazelnut paste in Turkey and a risk assessment study

description: Two hundred and two hazelnut paste samples from various hazelnut processing plants in the Black Sea Region of Turkey were analysed for the incidence of aflatoxins (AFs) by liquid chromatography coupled with fluorescence detection (LC-FLD). All 202 (100%) hazelnut paste samples were contaminated with various AFs ranged from 0.17 to 12.96 µg kg<sup>−1</sup>. AF contamination level of four (1.98%) samples exceeded legal limits. Risk assessment for hazelnut paste was determined by using AF incidence results, and the margin of exposure (MOE) and hepatocellular carcinoma (HCC) risk approach were applied. For the adult Turkish population (15+ years age group), the average lower bound (LB) and upper bound (UB) exposure levels for aflatoxin B1 (AFB1) and total aflatoxins (AFT) were 0.0106–0.0107 ng kg<sup>−1</sup> body weight (bw) per day and 0.0250 ng kg<sup>−1</sup> bw per day, respectively. MOE estimates for mean and 95th percentile exposures to AFB1 for hazelnut paste were higher than 10,000, which indicates no potential health concern for Turkish adults. HCC for the Turkish population was 0.00023 cases per 100,000 people per year. The study indicates that Turkish population is not under this toxicological risk when consuming hazelnut paste containing food products.
DOI: 10.6084/m9.figshare.20240742
title: Dietary contribution to total urinary arsenic in Mexican women

description: Exposure to inorganic arsenic (iAs) damages health in many ways. The main routes of human exposure are consumption of contaminated water and diet, but evidence regarding the dietary contribution of iAs is limited. The objective of this work was to determine the foods and beverages that contribute to urinary total arsenic levels (TAs). This is a secondary analysis of an original study of breast cancer cases and population controls carried out in northern Mexico during the period 2007–2011, from which 1,462 women without a history of diabetes were selected. We estimated the consumption of the food and beverage groups with a frequency questionnaire. We measured the concentrations of urinary iAs metabolites by high performance liquid chromatography inductively coupled plasma mass spectrometry (HPLC-ICP-MS). Total arsenic ranged from 0.5 to 2,360 µg/g creatinine. After adjusting for covariates, we observed a positive association between TAs (with arsenobetaine) with non-bottled drinking water intake, as well as the consumption of root vegetables, vegetables and fruits rich in water, eggs, fish and shellfish. Our findings highlight the relevance of water consumption and some foods for TAs exposure. Food quality monitoring deserves attention in high-risk regions of arsenic contamination.