cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5284/1078327
title: Area A3, Castleward Phase 2, Derby. Archaeological Post-excavation Assessment (OASIS ID: wessexar1-328626)

description: Wessex Archaeology undertook an archaeological excavation on land off the corner of Carrington Street and Trinity Street, Derby. The work exposed the remnants of terraced housing comprising foundations, floor surfaces and other structural remains. To the rear of the houses, yard surfaces, outside toilets, drains and garden/property boundary walls were recorded. The housing was built in the mid-19th century and was demolished in the early 1970s. Overall the arrangement of the exposed remains matches the layout of the Site as portrayed on historic maps and photographs. Asbestos contamination prevented the investigation of the south-western quarter of the site. The finds assemblage largely represents mid/late 20th-century material and was largely recovered from demolition rubble. No environmental samples were collected. No further analysis is recommended on the project archive and the project results do not merit stand-alone publication beyond inclusion in a 'Recent Fieldwork in Derbyshire' summary in a forthcoming edition of the Derbyshire Archaeological Journal.
DOI: 10.25934/00003056.1
title: IPD datapackage for study 'A Multicenter Study of the Efficacy and Safety of the Human Anti-TNF Monoclonal Antibody Adalimumab in Subjects With Axial Spondyloarthritis' and research request: 'Clinical and MRI predictors of Clinical Response in Axial Spondyloarthritis'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6084/m9.figshare.12436289
title: Python dashboard

description: Possible image for python dashboard
DOI: 10.5281/zenodo.3878650
title: COST-ELTeC/ELTeC-fra: Release with 100 novels encoded at level 1.

description: Release v0.9.1 is a maintenance release. Release v0.9.0 brought many fixes to corpus composition, many enhancements to the metadata in the teiHeader and to the markup, as well as many improvements to the texts themselves, notably some newly spell-checked texts. Remaining issues should not affect the texts themselves, but rather concern enhancements to typography, markup and metadata. They will be fixed ahead of the next release (v1.0.0).
description: Created in the context of the COST Action Distant Reading for European Literary History (CA16204). Distant Reading is a COST Action funded by the Horizon 2020 Framework Programme of the EU.
DOI: 10.15482/usda.adc/1518763
title: Data from: Measured and simulated carbon dynamics in Midwestern US corn-soybean rotations

description: The dataset includes information on soil properties collected from two conventionally managed fields under corn-soybean rotation in October 2005 and October 2016, respectively. The fields are located in Story County, Central Iowa. 42 sampling locations per field and year were sampled within a 50 m × 50 m grid, and 1 to 2 samples per location were collected using a hydraulic soil sampler (d= 38.2 mm) from the 0 - 120 cm soil layer. The samples were analyzed to determine carbon and nitrogen concentration, and soil pH in five soil layers (0-15, 15-30, 30-60, 60-90, and 90-120 cm). Presented is the raw data per location (mean of duplicates) with which carbon and nitrogen content can be calculated with either the equivalent soil mass method or by using bulk density.
DOI: 10.5281/zenodo.3878504
title: Relative Sea Level records from merged proxy and tide-gauge data

description: This data set contains 16 relative sea level (RSL) time series obtained from merging proxy records from salt-marshes and nearby instrumental records from tide gauges, spanning the last three centuries. The method used to combine the two different sources of data is described in Marcos and Gehrels (submitted) and ensures that the output is statistically consistent with the inherent uncertainties of each original time series. The data provided consist of yearly RSL since 1700 and the 5-95% confidence intervals at each site.
DOI: 10.5281/zenodo.3878505
title: Relative Sea Level records from merged proxy and tide-gauge data

description: This data set contains 16 relative sea level (RSL) time series obtained from merging proxy records from salt-marshes and nearby instrumental records from tide gauges, spanning the last three centuries. The method used to combine the two different sources of data is described in Marcos and Gehrels (submitted) and ensures that the output is statistically consistent with the inherent uncertainties of each original time series. The data provided consist of yearly RSL since 1700 and the 5-95% confidence intervals at each site.
DOI: 10.25345/c52127
title: MassIVE MSV000085555 - GNPS - Environmental Metabolomics from Red Tide, Spring 2020 at Scripps Pier (San Diego, Southern California), TOM + SSA
title: NT LC-MS/MS based environmental metabolomics of TOM + SSA (PPL extracted) from Red Tide Spring 2020 at Scripps Pier (Southern California). Pos and Neg mode.
DOI: 10.5281/zenodo.3862525
title: Restore Centre of Excellence: High-resolution mapping of Louisina vegetation remote sensing data for surge modelling

description: Satellite derived Leaf Area Index map of the Louisiana coast, translated into plant dimensions using field data from CMRS stations and dedicated project sampling. Plant dimensions have been used to prescribe hydraulic roughness fields for a hydrodynamic model (Delft3D) used to asses the effect of wetlands on storm surge levels.
DOI: 10.5281/zenodo.3862526
title: Restore Centre of Excellence: High-resolution mapping of Louisina vegetation remote sensing data for surge modelling

description: Satellite derived Leaf Area Index map of the Louisiana coast, translated into plant dimensions using field data from CMRS stations and dedicated project sampling. Plant dimensions have been used to prescribe hydraulic roughness fields for a hydrodynamic model (Delft3D) used to asses the effect of wetlands on storm surge levels.
DOI: 10.5281/zenodo.3878581
title: Deep statistical solver : linear systems

description: Dataset of linear systems for the training and testing of a deep statistical solver
DOI: 10.14272/rdbwyswpxdshoe-uhfffaoysa-n.1
title: methyl 3-methyl-4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzoate
title: InChI=1S/C15H21BO4/c1-10-9-11(13(17)18-6)7-8-12(10)16-19-14(2,3)15(4,5)20-16/h7-9H,1-6H3

description: This dataset contains experimental data from a sample (methyl 3-methyl-4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzoate, InChI=1S/C15H21BO4/c1-10-9-11(13(17)18-6)7-8-12(10)16-19-14(2,3)15(4,5)20-16/h7-9H,1-6H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/rdbwyswpxdshoe-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (methyl 3-methyl-4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzoate)
title: InChI=1S/C15H21BO4/c1-10-9-11(13(17)18-6)7-8-12(10)16-19-14(2,3)15(4,5)20-16/h7-9H,1-6H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (125 MHz, CDCl3, ppm) δ = 167.5 (1C, CO2CH3), 145.0 (1C, Cq), 135.9 (1C, CH), 131.9 (1C, Cq), 130.6 (1C, CH), 125.7 (1C, CH), 84.0 (2C, Cq), 52.2 (1C, CO2CH3), 25.0 (4C, CH3), 22.2 (1C, ArCH3). 1 Carbon is missing (1C, Cq).
DOI: 10.14272/rdbwyswpxdshoe-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (methyl 3-methyl-4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzoate)
title: InChI=1S/C15H21BO4/c1-10-9-11(13(17)18-6)7-8-12(10)16-19-14(2,3)15(4,5)20-16/h7-9H,1-6H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2978, 2951, 2931, 1721, 1611, 1561, 1496, 1436, 1402, 1378, 1373, 1346, 1317, 1289, 1272, 1247, 1214, 1197, 1166, 1143, 1112, 1062, 1007, 983, 962, 905, 892, 857, 832, 806, 771, 728, 681, 666, 654, 579, 520 cm–1.
DOI: 10.17632/667fb7gt44.4
title: Data for: Statistical analysis of the interaction between wind-waves and currents during early wave generation

description: Twenty-two experiments were performed with two different wind speed values and eleven different current speed values (including zero values, absence of current), with a ratio of current speed to phase speed u_c=c = [-0.2, 0.25], measuring the instantaneous water level in different sections with ultrasonic probes. Raw data (water elevation).
DOI: 10.17632/nwmyvyyy2v.6
title: Data for: Predicting the Impacts of Mutations on Protein-Ligand Affinity Based on Molecular Dynamics Simulations and Machine Learning Methods

description: Statistics of the original data set, including the mutation type, the ID of the corresponding mutant in the protein data bank (PDB), the PDB ID of the wild type protein, the ID of the ligand, the type of ligand-binding sites (multiple or single), the impact of mutation on the protein-ligand affinity (decreased or increased) and the affinity fold change. For mutation types, XIY means a substitution from residue X to residue Y at position I, and XIY/AIIB indicates a dual mutation at positions I and II.
DOI: 10.26300/pmqv-td23
title: Living with HIV Clinic Results
DOI: 10.5281/zenodo.3878679
title: Xie_et_al raw data for ' Vertcal Inhomogeneity Effect of Frozen Hydrometeor Habits in All-sky Passive Microwave Simulations'

description: Raw Data 'Inhomogeneity Effect of Frozen Hydrometeor Habits in All-sky Passive Microwave Simulations'
DOI: 10.14272/rdbwyswpxdshoe-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (methyl 3-methyl-4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzoate)
title: InChI=1S/C15H21BO4/c1-10-9-11(13(17)18-6)7-8-12(10)16-19-14(2,3)15(4,5)20-16/h7-9H,1-6H3

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 20 °C): 276 (43) [M]+, 261 (54) [M–CH3]+, 245 (16) [M–OCH3]+, 219 (100) [M–CH3–C(CH3)2]+. HRMS–EI (m/z): [M]+ calcd for C15H21BO4, 276.1533; found, 276.1531.
DOI: 10.14272/rdbwyswpxdshoe-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (methyl 3-methyl-4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzoate)
title: InChI=1S/C15H21BO4/c1-10-9-11(13(17)18-6)7-8-12(10)16-19-14(2,3)15(4,5)20-16/h7-9H,1-6H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 7.82 (s, 1H, CH), 7.80 (s, 2H, CH), 3.91 (s, 3H, CO2CH3), 2.57 (s, 3H, ArCH3), 1.35 (s, 12H, CH3).
DOI: 10.21227/bhdv-n475
title: Highly Immersive Environments

description: Motion platforms have been widely used in Virtual Reality (VR) systems for decades to simulate motion in virtual environments. Currently, the development of new VR immersive systems faces unique challenges to respond to user’s requirements, such as introducing high resolution 360° panoramic images and videos. This new visual information lacks the possibility of calculating the motion properties (acceleration) and makes traditional control systems for motion platforms fail. This paper presents a new method for generating non-real time gravito-inertial cues for motion platforms using a system based on VR and video imagery. It is a hybrid method where part of the gravito-inertial cues (those with acceleration information) are generated using a classical approach, through the application of physical modeling in a VR scene utilizing washout filters. The motion cues generated by the washout filter were modified according to the contributions of different experts based on a successive approximation method. In addition, part of the gravito-inertial cues (the ones coming from synthetic images and video, without acceleration information) were generated ad-hoc in a semi-manual way. The performance evaluation of this proposed method showed that 84% of the participants preferred the hybrid system versus a system based solely on the classical washout. Our approach has been tested with three different experts, and the final system, developed as part of an international road safety education campaign, had more than ten thousand attendees.
DOI: 10.5281/zenodo.3878677
title: Deep statistical solver: AC power flow 14 nodes

description: Dataset of AC power flow problems on the IEEE 14 nodes
DOI: 10.5281/zenodo.3878678
title: Xie_et_al raw data for ' Vertcal Inhomogeneity Effect of Frozen Hydrometeor Habits in All-sky Passive Microwave Simulations'

description: Raw Data 'Inhomogeneity Effect of Frozen Hydrometeor Habits in All-sky Passive Microwave Simulations'
DOI: 10.21227/69zy-e098
title: Highly Immersive Environments

description: Motion platforms have been widely used in Virtual Reality (VR) systems for decades to simulate motion in virtual environments. Currently, the development of new VR immersive systems faces unique challenges to respond to user’s requirements, such as introducing high resolution 360° panoramic images and videos. This new visual information lacks the possibility of calculating the motion properties (acceleration) and makes traditional control systems for motion platforms fail. This paper presents a new method for generating non-real time gravito-inertial cues for motion platforms using a system based on VR and video imagery. It is a hybrid method where part of the gravito-inertial cues (those with acceleration information) are generated using a classical approach, through the application of physical modeling in a VR scene utilizing washout filters. The motion cues generated by the washout filter were modified according to the contributions of different experts based on a successive approximation method. In addition, part of the gravito-inertial cues (the ones coming from synthetic images and video, without acceleration information) were generated ad-hoc in a semi-manual way. The performance evaluation of this proposed method showed that 84% of the participants preferred the hybrid system versus a system based solely on the classical washout. Our approach has been tested with three different experts, and the final system, developed as part of an international road safety education campaign, had more than ten thousand attendees.
DOI: 10.6084/m9.figshare.12436289.v2
title: Python dashboard

description: Possible image for python dashboard
DOI: 10.21227/1m3b-8m12
title: Data of the paper Modeling the hydro production function in MILP

description: - Turbine hydro production functions of the plants.- Daily and weekly water inflow profiles of the reservoirs.- Daily and weekly energy price profiles.
DOI: 10.21227/yzj5-pp32
title: Data of the paper Modeling the hydro production function in MILP

description: - Turbine hydro production functions of the plants.- Daily and weekly water inflow profiles of the reservoirs.- Daily and weekly energy price profiles.
DOI: 10.15161/oar.it/23712
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.3879050
title: Extended RAM Legacy Stock Assessment Database version 4.41

description: Extended RAM Legacy Stock Assessment Database version 4.41 Please be aware that this ‘mdl’ ('model fits included') version 4.41 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes data not contained in the assessments themselves, but generated from assessment data. Generated data are used to fill in gaps where possible, for example, if stock assessments do not include reference point estimates. Supplemented data include calculations from assessment values, conversions of biomass variables, and reference points estimated post-hoc with surplus production models. The ‘Documents’ folder includes documentation files on the methods used for these calculations, conversions and model fitting. When assessment data are available, they are used preferentially in all cases.<br> <br> Although we identify data that were supplemented from data that were derived from stock assessments, some collector variables in RAMLDB include both of these data sources (with assessment values preferred). We recommend that the average user does not use this 'mdl' version of RAMLDB because of the additional assumptions and calculations involved. Instead, to avoid confusion between assessment-derived values and supplemented values, we recommend using the ‘asmt’ ('assessment data only') version of RAMLDB version 4.41. This 'asmt' version (10.5281/zenodo.2542927) is also available in our Zenodo repository: https://zenodo.org/communities/rlsadb/
DOI: 10.5281/zenodo.3879051
title: Extended RAM Legacy Stock Assessment Database version 4.41

description: Extended RAM Legacy Stock Assessment Database version 4.41 Please be aware that this ‘mdl’ ('model fits included') version 4.41 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes data not contained in the assessments themselves, but generated from assessment data. Generated data are used to fill in gaps where possible, for example, if stock assessments do not include reference point estimates. Supplemented data include calculations from assessment values, conversions of biomass variables, and reference points estimated post-hoc with surplus production models. The ‘Documents’ folder includes documentation files on the methods used for these calculations, conversions and model fitting. When assessment data are available, they are used preferentially in all cases.<br> <br> Although we identify data that were supplemented from data that were derived from stock assessments, some collector variables in RAMLDB include both of these data sources (with assessment values preferred). We recommend that the average user does not use this 'mdl' version of RAMLDB because of the additional assumptions and calculations involved. Instead, to avoid confusion between assessment-derived values and supplemented values, we recommend using the ‘asmt’ ('assessment data only') version of RAMLDB version 4.41. This 'asmt' version (10.5281/zenodo.2542927) is also available in our Zenodo repository: https://zenodo.org/communities/rlsadb/
DOI: 10.5281/zenodo.3880446
title: Execution Environment Information

description: Output generated by the <code>collect_environment.sh</code> script available at https://github.com/SC-Tech-Program/Author-Kit.
DOI: 10.24431/rw1k44w
title: A stock assessment method for North Pacific fish and invertebrate stocks which allows for age and length dynamics

description: This project developed a package to apply age-, size- and age-size-structured models. The tool will be available for use by stock assessment analysts, and is fully documented in Chapter 3 (technical description) and 7 (user manual) of the report of NPRB project 1304. The code for the model is written using Auto-differentiation Model Builder (http://www.admb-project.org/), which is freely available. The code can be compiled for Windows, Mac and Linux, but testing was restricted to the Windows platform. The code for the model will be made available via the Puntlab website (http://puntlab.washington.edu/). There are 3 data files archived for this project: EBSTannerCrab.DAT, EBSPacificCod, DAT, PribBlue.DAT. These files are raw-text input files that have been formatted to meet the model input specifications. They are based on re-formatted source datasets that are cited in the Methods section of this record. There are additional separate files, in tab-seperated format, describing the larger datasets used in the model, such as size-frequency of samples for a species. This dataset was generated under NPRB project 1304.
DOI: 10.5281/zenodo.3879785
title: GDSC1

description: GDSC1 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3879786
DOI: 10.5281/zenodo.3879786
title: GDSC1

description: GDSC1 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3879786
DOI: 10.5281/zenodo.3880445
title: Execution Environment Information

description: Output generated by the <code>collect_environment.sh</code> script available at https://github.com/SC-Tech-Program/Author-Kit.
DOI: 10.15468/yuks2q
title: Taxonomy of Guatemalan water beetles in the genus Hydrochus (Coleoptera: Hydrochidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Perkins, Philip D. (2020): Taxonomy of Guatemalan water beetles in the genus Hydrochus (Coleoptera: Hydrochidae). Acta Entomologica Musei Nationalis Pragae 60 (1): 291-301, DOI: 10.37520/aemnp.2020.016
DOI: 10.5281/zenodo.3878952
title: Performance results of LeanMD on the Joliot-Curie supercomputer using different load balancing algorithms

description: This dataset contains the raw output files generated from the execution of LeanMD on the Joliot-Curie supercomputer (20 SKL Irene nodes), the scripts used to generate them, and the scripts used to parse these results for statistical analysis and plotting. <strong>Software information</strong>: OS: Red Hat Enterprise Linux 7.6 OpenMPI: version 2.0.4 Compilers: C/C++ Intel 17.0.6.256 Charm++ version: v6.9.0-rc3, build mpi-linux-x86_64 --with-production LeanMD source: https://charm.cs.illinois.edu/gerrit/gitweb?p=benchmarks/leanmd.git Additional load balancers source: https://github.com/viniciusmctf/packing-schemes/tree/packs_2019-v1 Charm++, LeanMD, and the load balancers were compiled with -O3 <strong>File information</strong>: The raw result files are organized in four directories (oct18, oct23, oct24, and oct24_2).<br> Each directory contains the results of one batched execution in the supercomputer.<br> Each batch is composed of 10 repetitions of a set of experiments.<br> Each set of experiments includes different load balancing algorithms and different problem sizes.<br> Each set is randomly ordered to avoid interference coming from a specific order of execution.<br> Each raw file contains the appended output of the application and its load balancer for all 10 repetitions.<br> The name of the files indicate the load balancer and size of the problem.<br> For instance, `PackStealLB.240` means that the application was run with PackStealLB and the problem size parameter is 240. <strong>Problem sizes</strong>: 80: 80×11×5 cells of dimensions 15×15×30 120: 120×11×5 cells of dimensions 15×15×30 160: 160×11×5 cells of dimensions 15×15×30 240: 240×11×5 cells of dimensions 15×15×30 320: 320×11×5 cells of dimensions 15×15×30 Each execution of LeanMD ran for 301 iterations with load balancing calls at iterations 40, 140, and 240. <strong>Raw output files</strong>: Each raw output file starts with a Charm++ header providing information on the execution. For each step of the application, its execution time in ms is provided. Load balancing calls usually provide information about their start time, end time, and duration. Depending on the load balancer, more information is provided. Each raw file contains ten executions of the application with a given load balancer and input size. <strong>Generating plots</strong>: The analysis of the results can be done by running the Jupyter notebook named "Analysis of load balancing results.ipynb"