cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18453/rosdok_id00002526
title: Data for: A Literature Review on Methods for the Extraction of Usage Statements of Software and Data

description: Software and data have become major components of modern research, which is also reflected by an increased number of software usages. Knowledge about used software and data would provide researchers a better understanding of the results of a scientific investigation and thus foster it's reproducibility. Software and data are, however, often not formally cited but their usage is mentioned in the main text. In order to assess the state of the art in extraction of such usage statements, we performed a literature review. We provide an overview of existing methods for the identification of usage statements of software and data in scientific articles. This analysis mainly focuses on technical approaches, the employed corpora, and the purpose of the investigation itself. We found four different classes of approaches that are used in the literature: 1.) term search, 2.) manual extraction, 3.) rule-based extraction, and 4.) extraction based on supervised learning.
DOI: 10.17632/8mdy856frh.6
title: Results of the 3D postioning user study
DOI: 10.5281/zenodo.3407570
title: La Palma Island NDWIs collection from 1984 to 2016

description: Normalized Difference Water Index (NDWI) (signed integer file, scale factor 0.001) of La Palma Island Protected Area (PA).
DOI: 10.5281/zenodo.3407571
title: La Palma Island NDWIs collection from 1984 to 2016

description: Normalized Difference Water Index (NDWI) (signed integer file, scale factor 0.001) of La Palma Island Protected Area (PA).
DOI: 10.17632/j6sdxytt46.8
title: 3D reconstruction data used to perform selection task

description: In the selection task, participants had to select the region of interest (a specified vessel segment) as explained in the "Experiment_description.pdf" file. They were asked to manipulate (i.e., translate, rotate and scale) a 3D box widget, initially positioned such that the region of interest covered all vessel structures displayed on the screen. Three 3D model files ("level1.vtk", "level2.vtk" and "level.3 vtk") were used to define three complexity levels of the selection task: Level 1 (simple) — one vessel; Level 2 (average) — two closely located vessels; Level 3 (complex) — three vessels, where two vessels are located close to each other. This project was funded by the University of Amsterdam and NWO. This is version 8 of the dataset to test RDM implementations
DOI: 10.5519/qd.1a9uwdps
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (96 records)
DOI: 10.5519/qd.hcz8a6ok
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (376 records)
DOI: 10.5281/zenodo.3407244
title: Snow cover duration maps for Bayerischer Wald

description: Number of days for which a pixel is covered by snow. The snow cover duration (SCD) is generated from the 250 meter resolution snow cover maps realized with the algorithm described in Notarnicola, Claudia, et al. "Snow cover maps from MODIS images at 250 m resolution, Part 1: Algorithm description." Remote Sensing 5.1 (2013): 110-126.
DOI: 10.5281/zenodo.3407245
title: Snow cover duration maps for Bayerischer Wald

description: Number of days for which a pixel is covered by snow. The snow cover duration (SCD) is generated from the 250 meter resolution snow cover maps realized with the algorithm described in Notarnicola, Claudia, et al. "Snow cover maps from MODIS images at 250 m resolution, Part 1: Algorithm description." Remote Sensing 5.1 (2013): 110-126.
DOI: 10.5281/zenodo.3407275
title: Snow cover duration maps for Gran Paradiso

description: Number of days for which a pixel is covered by snow. The snow cover duration (SCD) is generated from the 250 meter resolution snow cover maps realized with the algorithm described in Notarnicola, Claudia, et al. "Snow cover maps from MODIS images at 250 m resolution, Part 1: Algorithm description." Remote Sensing 5.1 (2013): 110-126.
DOI: 10.5281/zenodo.3407276
title: Snow cover duration maps for Gran Paradiso

description: Number of days for which a pixel is covered by snow. The snow cover duration (SCD) is generated from the 250 meter resolution snow cover maps realized with the algorithm described in Notarnicola, Claudia, et al. "Snow cover maps from MODIS images at 250 m resolution, Part 1: Algorithm description." Remote Sensing 5.1 (2013): 110-126.
DOI: 10.5519/qd.fj7aj166
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (12 records)
DOI: 10.21227/b96g-4c30
title: IEEE Access 2019 Supplementary materials

description: IEEE Access 2019 Supplementary materials
DOI: 10.21227/vv2t-sq88
title: IEEE Access 2019 Supplementary materials

description: IEEE Access 2019 Supplementary materials
DOI: 10.5281/zenodo.1475196
title: Costal operating wind farms: two datasets with concurrent SCADA, LiDAR and turbulent fluxes

description: This data collection consists of two datasets from a micrometeorological experiment conducted in two distinct operating wind farms in a coastal area of the northeast region of Brazil, called Pedra do Sal Wind Farm (UEPS) and Beberibe Wind Farm (UEBB). These wind farms are located on the northeast coast of Brazil where meteorological conditions are strongly influenced by trade winds and sea breeze. Both datasets represent a full-year of measurements from August/2013 to July/2014. On both operating wind farms it was commissioned a fully instrumented IEC-compliant 100m met mast, with five levels of first-class calibrated cup anemometers and one level (100m) with 3D sonic anemometer. Additionally at UEPS there's an extra 3D sonic at 20m height on the met mast, as well as a VAISALA LEOSPHERE Windcube8 doppler wind lidar with a range up to 500m height and located 2.5D upwind of one of the wind turbines. The Pedra do Sal wind farm (UEPS) has an installed capacity of 18MW, with 20 Enercon E-44 installed at 55m a.g.l. At Beberibe wind farm (UEBB) there are 32 Enercon E-48 wind turbines installed at 75m a.g.l. The dataset includes 10min SCADA data for all wind turbines on both wind farms. This dataset has a high-quality combination of meteorological, SCADA and turbulent flux data of two operating wind farms in Brazil. During a full-year of measurements both datasets had a high data recovery rate (see attached tables). The dataset has already been used to assess the impact of atmospheric stability on the wind farm performance, as well as the effect of mesoscale patterns on the wind profile and wind farm power production. Recirculation of the sea breeze and the development of an internal boundary layer upwind the wind turbines were also characterized. For more details on the experimental layout, wind turbine locations, meso and microcale wind conditions and any other information not stated in the NetCDF4 files, please refer to the reference material or contact one of the authors.
description: This dataset was created with the support by the Brazilian Electricity Regulatory Agency (ANEEL) under R&D project 0403 − 0020/2011, funded by ENGIE Brazil. The authors also acknowledge support from the National Council for Scientific and Technological Development of Brazil (CNPq).
description: {"references": ["10.1007/978-3-319-17777-9_80", "arXiv:1405.5158", "https://repositorio.ufsc.br/handle/123456789/188968"]}
DOI: 10.5519/qd.4h5n1d2y
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.k735t2zm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.zm8rpftt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/5grf-dx87
title: Supplementary materials: communities GO analysis

description: IEEE Access 2019 Supplementary materials
DOI: 10.5519/qd.4xm76o5z
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.5519/qd.6zk6ugwt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.17632/6hgv9m8ts8.1
title: Data for: The preliminary validation of laser Doppler flowmetry in systemic sclerosis in accordance with the OMERACT filter: a systematic review

description: This dataset contains the results of the literature review on the use of a single probe laser Doppler flowmetry in the assessment of the digital microvasculopathy in systemic sclerosis patients.
DOI: 10.21227/av2g-z517
title: Supplemental materials: communities GO analysis

description: IEEE Access 2019 Supplementary materials
DOI: 10.25606/surf.578c6039-e6092fde
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-701)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 701 of the 2048³ resolution collection.
DOI: 10.14469/hpc/6097
title: Test for metadata release

description: Just a test
DOI: 10.5281/zenodo.3407663
title: Kruguer Natl. Park NDVIs collection from 1984 to 2000

description: Collection of Normalized Difference Vegetation Index (NDVI) (double data type) of Kruguer Natl. Park Protected Area (PA).
DOI: 10.5281/zenodo.3407664
title: Kruguer Natl. Park NDVIs collection from 1984 to 2000

description: Collection of Normalized Difference Vegetation Index (NDVI) (double data type) of Kruguer Natl. Park Protected Area (PA).
DOI: 10.5281/zenodo.3407827
title: Implementation of Genomic Variant Calling Using GATK4, SPARK, WDL, CROMWELL and DOCKER Over Simulated Ebola NGS Dataset.

description: Ebola genome is manually mutated to contain non-structural as well as structural variants. One ebola genome contains non-structural variants - 10 SNPs, 10 INDELs, 05 TRANSLOCATIONs, 05 INSERSIONs and their reverse complements. Similarly, other two set of mutated genomes contain structural variants. Each set contains seven mutated ebola genome each one for large deletion, insertion, duplication, translocation, inversion, complex variant1 (consecutive three mutations - insertion, duplication and deletion) and complex variants2 (consecutive three mutations - deletion, duplication and deletion). All insertions are novel sequence insertion.
description: Simulated Ebola paired-end RNASEQ reads.
DOI: 10.5281/zenodo.3407828
title: Implementation of Genomic Variant Calling Using GATK4, SPARK, WDL, CROMWELL and DOCKER Over Simulated Ebola NGS Dataset.

description: Ebola genome is manually mutated to contain non-structural as well as structural variants. One ebola genome contains non-structural variants - 10 SNPs, 10 INDELs, 05 TRANSLOCATIONs, 05 INSERSIONs and their reverse complements. Similarly, other two set of mutated genomes contain structural variants. Each set contains seven mutated ebola genome each one for large deletion, insertion, duplication, translocation, inversion, complex variant1 (consecutive three mutations - insertion, duplication and deletion) and complex variants2 (consecutive three mutations - deletion, duplication and deletion). All insertions are novel sequence insertion.
description: Simulated Ebola paired-end RNASEQ reads.
DOI: 10.5281/zenodo.3385168
title: Underlying data for "Interpretation of Hydrogen-Deuterium Exchange Data by Maximum-Entropy Reweighting of Simulated Structural Ensembles"

description: This dataset contains code, data, and figures used in the article "Interpretation of Hydrogen-Deuterium Exchange Data<br> by Maximum-Entropy Reweighting of Simulated Structural Ensembles". Contents: code/* - Underlying code used to analyze molecular dynamics trajectories and calculate predicted HDX-MS data, used to reweight structural ensembles to best fit target HDX-MS data, and used to structurally cluster simulation frames after reweighting data/* - Simulation trajectories of the TeaA protein, along with two sub-trajectories corresponding to only 'closed' or 'open' TeaA frames, and predicted HDX-MS deuterated fractions used as target data in simulation reweighting. Also simulation trajectories of the LeuT protein, in either 'outward-facing' or 'inward-facing' conformational states embedded in a DMPC bilayer, and experimental HDX-MS deuterated fractions used as target data in simulation reweighting figures/* - Underlying data and scripts used to create all figures and movies used in the article. Where appropriate, README files include instructions for regenerating data used in the article, and details of the Python packages used to run Python scripts are available in conda_environment.yml
description: {"references": ["Bradshaw R.T., Marinelli F. et al., Structural Interpretation of Hydrogen-Deuterium Exchange with Maximum-Entropy Simulation Reweighting, 2019, Biorxiv 769398"]}
DOI: 10.5281/zenodo.3385169
title: Underlying data for "Structural Interpretation of Hydrogen-Deuterium Exchange with Maximum-Entropy Simulation Reweighting"

description: This dataset contains code, data, and figures used in the article "Structural Interpretation of Hydrogen-Deuterium Exchange with Maximum-Entropy Simulation Reweighting". Contents: code/* - Underlying code used to analyze molecular dynamics trajectories and calculate predicted HDX-MS data, used to reweight structural ensembles to best fit target HDX-MS data, and used to structurally cluster simulation frames after reweighting data/* - Simulation trajectories of the TeaA protein, along with two sub-trajectories corresponding to only 'closed' or 'open' TeaA frames, and predicted HDX-MS deuterated fractions used as target data in simulation reweighting. figures/* - Underlying data and scripts used to create all figures and movies used in the article. Where appropriate, README files include instructions for regenerating data used in the article, and details of the Python packages used to run Python scripts are available in conda_environment.yml
description: {"references": ["Bradshaw R.T., Marinelli F. et al., Structural Interpretation of Hydrogen-Deuterium Exchange with Maximum-Entropy Simulation Reweighting, 2019, Biorxiv 769398"]}
DOI: 10.5281/zenodo.3407685
title: Data for Contrast Enhanced Prostate MRI paper

description: DICOM and MATLAB .mat data files used in paper: "<strong>Optimisation of contrast enhanced MR sequences for detection of prostate cancer"</strong> This data is referred to in the code as 20Mar2018. Associated MATLAB .m files are on the GitHub site: https://github.com/UCL/CEPMRI-opt
DOI: 10.5519/qd.h8fis6zm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22 records)
DOI: 10.5519/qd.rkoboitj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (122 records)
DOI: 10.17632/7p2h8zsfv8.1
title: Data for: Springwater provenance and flowpath evaluation in Blue Lake, Bonneville basin, Utah

description: Groundwater chemistry data are in a study area of Northwestern Utah and Northeastern Nevada Some data aggregated with that of Gardner and Heilweil, 2014; Gardner and Masbruch, 2015.
DOI: 10.5281/zenodo.3407318
title: Wet snow cover for Gran Paradiso

description: Series of wet snow cover area maps derived from Sentinel-1 using the algorithm proposed in Nagler T, Rott H, Ripper E, Bippus G, Hetzenecker M. Advancements for snowmelt monitoring by means of Sentinel-1 SAR. Remote Sensing. 2016 Apr 20;8(4):348.
DOI: 10.5281/zenodo.3407226
title: Sierra Nevada NDVIs collection from 1984 to 2016

description: Collection of Normalized Difference Vegetation Index (NDVI) (double data type) of Sierra Nevada Protected Area (PA).
DOI: 10.5281/zenodo.3407227
title: Sierra Nevada NDVIs collection from 1984 to 2016

description: Collection of Normalized Difference Vegetation Index (NDVI) (double data type) of Sierra Nevada Protected Area (PA).
DOI: 10.5281/zenodo.3407317
title: Wet snow cover for Gran Paradiso

description: Series of wet snow cover area maps derived from Sentinel-1 using the algorithm proposed in Nagler T, Rott H, Ripper E, Bippus G, Hetzenecker M. Advancements for snowmelt monitoring by means of Sentinel-1 SAR. Remote Sensing. 2016 Apr 20;8(4):348.
DOI: 10.5061/dryad.088kq34/1
title: Meade2019_AmNat_data

description: These data are from an experiment examining fertility and reproductive organ size of males that do or do not carry sex-ratio meiotic drive. Males were mated to 1 or 5 females or left unmated. Females were allowed to lay eggs, and fertilised/unfertilised eggs were counted. Male testis and accessory glands were dissected out and measured.
DOI: 10.5061/dryad.80725jn/1
title: R scripts and data

description: The zip-file contains data files and r code to reproduce all analyses. The data were originally published in Theriot, E. C., S. C. Fritz, C. Whitlock, and D. J. Conley. 2006. Late Quaternary rapid morphological evolution of an endemic diatom in Yellowstone Lake, Wyoming. Paleobiology 32:38–54.
DOI: 10.5281/zenodo.3407325
title: Soil moisture for Lake Ohrid

description: H-SAF H109 Metop ASCAT The soil moisture product represents the water content in the upper soil layer (&lt; 2 cm) in relative units between totally dry conditions (0%) and total water capacity (100%). The time series are available on a discrete global grid (DGG) with a spatial resolution of 25 km (grid spacing 12.5 km). The temporal sampling rate is irregular (every 1-2 days) and depends on the latitude. Each surface soil moisture estimate has an associated noise value, indicating the uncertainty. The soil moisture product has not been pre-filtered, meaning that a masking of invalid measurements (e.g. frozen ground, snow cover) by the user is highly recommended before further processing.
DOI: 10.5281/zenodo.3407326
title: Soil moisture for Lake Ohrid

description: H-SAF H109 Metop ASCAT The soil moisture product represents the water content in the upper soil layer (&lt; 2 cm) in relative units between totally dry conditions (0%) and total water capacity (100%). The time series are available on a discrete global grid (DGG) with a spatial resolution of 25 km (grid spacing 12.5 km). The temporal sampling rate is irregular (every 1-2 days) and depends on the latitude. Each surface soil moisture estimate has an associated noise value, indicating the uncertainty. The soil moisture product has not been pre-filtered, meaning that a masking of invalid measurements (e.g. frozen ground, snow cover) by the user is highly recommended before further processing.
DOI: 10.5281/zenodo.3407704
title: Montado NDVIs collection from 1984 to 2015

description: Collection of Normalized Difference Vegetation Index (NDVI) (double data type) of Montado Protected Area (PA).
DOI: 10.5281/zenodo.3407705
title: Montado NDVIs collection from 1984 to 2015

description: Collection of Normalized Difference Vegetation Index (NDVI) (double data type) of Montado Protected Area (PA).
DOI: 10.5061/dryad.3124p62/1
title: Experimental and field survey data for amphipods and leaf litter

description: CODE: The analysis for this manuscript can be performed using the R code contained in the R markdown file DEF_code_Little_et_al.Rmd. GIS FILES: There are 11 shapefiles in this folder which are used in the R code. EXPERIMENTAL AND FIELD DATA: There are eight CSV files of data which are described below. Variable names and metadata are described in the README. GF_densitytreatments_weights.csv: This file contains weights of Gammarus fossarum amphipods used in the experiments, in milligrams. Each row represents an individual amphipod. DV_densitytreatments_weights.csv: This file contains weights of Dikerogammarus villosus amphipods used in the experiments, in milligrams. Each row represents an individual amphipod. GF_weight_and_survival_data_corrected.csv: This file contains information on the survival of G. fossarum amphipods in the density experiment, as well as the mass loss of the leaves used in the experiment. Each row represents one experimental unit (mesocosm) used in the experiment. DV_weight_and_survival_data.csv: This file contains information on the survival of D. villosus amphipods in the density experiment, as well as the mass loss of the leaves used in the experiment. Each row represents one experimental unit (mesocosm) used in the experiment. Combined_Data_amphipods.csv: This file contains the amphipod abundance information from the April 2015 field surveys (also described in Little & Altermatt 2018 Proceedings B). Each row represents one sampling point. Combined_Data_leaves.csv: This file contains the benthic leaf litter and amphipod abundance information from four sampling bouts: April 2015, July 2015, November 2015, and January 2016 (also described in Little & Altermatt 2018 Proceedings B and Little & Altermatt 2018 Landscape Ecology). Each row represents one sampling point at one sampling bout. leaf_litter_trap_cumulative.csv: This file contains the data from leaf litter traps deployed between September and December, 2015, near Lake Constance (also presented in Little & Altermatt 2018 Landscape Ecology). Traps were first deployed on September 8, 2015, for all sites. Each row represents a sampling interval at a specific site; the traps were emptied and redeployed at each site several times over the course of the autumn, so each site has several rows of data. Rows contain information about the total amount of plant material accrued in the traps between the start of sampling and the end of a given sampling interval, that is, a cumulative total during the leaf drop period. Land_use_in_buffers.csv: This file contains data about the area (square meters) of three types of land cover in a 1-meter buffer on either side of the stream channels in each catchment. Land cover in the buffer zones was calculated from Swisstopo GIS layers in ArcMap as described in the methods section of the manuscript.
DOI: 10.5519/qd.kbs5qu9u
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1236 records)
DOI: 10.15151/esrf-es-187021802
title: Measles Virus Full-Length Nucleocapsid Structure
DOI: 10.5061/dryad.kc7186p/1
title: Dryad Item 10.5061/DRYAD.KC7186P/1

description: (:tba)