cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3582619
title: 10XG CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 2 of 2)

description: Here we propose novel algorithms to characterize large (&gt;40 Kbp) interspersed segmental duplications, (&gt; 80 Kbp) inversions, (&gt; 100 Kbp) deletions, and (&gt; 100 Kbp) translocations using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules. <br> Our methods rely on split molecule sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous. <br> We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large <br> structural variation. We implement our new algorithms in a new software package, called VALOR2.
description: 10XG simulation CRAM files. Aligned to GRCh37 using Long Ranger / Lariat Part 2. Part 1 is available at 10.5281/zenodo.3581185. Simulation fasta and truth files available at 10.5281/zenodo.3380054
DOI: 10.5281/zenodo.3582618
title: 10XG CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 2 of 2)

description: Here we propose novel algorithms to characterize large (&gt;40 Kbp) interspersed segmental duplications, (&gt; 80 Kbp) inversions, (&gt; 100 Kbp) deletions, and (&gt; 100 Kbp) translocations using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules. <br> Our methods rely on split molecule sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous. <br> We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large <br> structural variation. We implement our new algorithms in a new software package, called VALOR2.
description: 10XG simulation CRAM files. Aligned to GRCh37 using Long Ranger / Lariat Part 2. Part 1 is available at 10.5281/zenodo.3581185. Simulation fasta and truth files available at 10.5281/zenodo.3380054
DOI: 10.5281/zenodo.3581185
title: 10XG CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 1 of 2)

description: Here we propose novel algorithms to characterize large (&gt;40 Kbp) interspersed segmental duplications, (&gt; 80 Kbp) inversions, (&gt; 100 Kbp) deletions, and (&gt; 100 Kbp) translocations using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules. <br> Our methods rely on split molecule sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous. <br> We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large <br> structural variation. We implement our new algorithms in a new software package, called VALOR2.
description: 10XG simulation CRAM files. Aligned to GRCh37 using Long Ranger / Lariat Part 1. Part 2 is available at 10.5281/zenodo.3582619. Simulation fasta and truth files available at 10.5281/zenodo.3380054
DOI: 10.5281/zenodo.3581184
title: 10XG CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 1 of 2)

description: Here we propose novel algorithms to characterize large (&gt;40 Kbp) interspersed segmental duplications, (&gt; 80 Kbp) inversions, (&gt; 100 Kbp) deletions, and (&gt; 100 Kbp) translocations using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules. <br> Our methods rely on split molecule sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous. <br> We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large <br> structural variation. We implement our new algorithms in a new software package, called VALOR2.
description: 10XG simulation CRAM files. Aligned to GRCh37 using Long Ranger / Lariat Part 1. Part 2 is available at 10.5281/zenodo.3582619. Simulation fasta and truth files available at 10.5281/zenodo.3380054
DOI: 10.5066/p976iwws
title: Mean annual water-budget components for the Island of Maui, Hawaii, for a set of eight future climate and land-cover scenarios

description: These shapefiles represent the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii for a set of eight future climate and land-cover scenarios. The future climate conditions used in the water-budget analyses were derived from two end-of-century downscaled climate projections including (1) a projected future climate condition representative of phase 3 of the Coupled Model Intercomparison Project (CMIP3) A1B 2080-99 scenario climate described in Zhang and others (2016a, 2016b) and (2) a projected future climate condition representative of phase 5 of the Coupled Model Intercomparison Project (CMIP5) Representative Concentration Pathway 8.5 (RCP8.5) 2080-99 scenario climate described in Elison Timm and others (2015). The four future land-cover scenarios developed by Brewington (2018) were used to define the land-cover conditions and model subareas. A unique set of water-budget components for each model subarea was computed for each combination of projected climate conditions and future land-cover using a water-budget model developed by Johnson and others (2018) and later modified by Mair and others (2019). The shapefile attribute information associated with each subarea (or polygon) present an estimate of mean annual rainfall, fog interception, irrigation, septic system leachate, seepage from reservoirs and cesspools, runoff, canopy evaporation, total evapotranspiration, and total recharge. These shapefiles also include select geographic and land-cover attributes of the model subareas. Brief descriptions of the water-budget components and attributes are included in this metadata file. Refer to Mair and others (2019) and Brewington and others (2019) for further details of the methods and sources used to determine these components and attributes.
DOI: 10.5281/zenodo.3585545
title: A dataset with news messages from a Russian and a Ukrainian TV news channels

description: This data was used in the following publications: 1. Koltsova, O., & Pashakhin, S. (2019). Agenda divergence in a developing conflict: Quantitative evidence from Ukrainian and Russian TV newsfeeds. Media, War & Conflict, 1750635 21982987. https://doi.org/10.1177/1750635219829876 2.Pashakhin S. Topic Modeling for Frame Analysis of News Media // Proceedings of the AINL FRUCT 2016. С. 103-105 – URL: http://fruct.org/publications/abstract-AINL-FRUCT-2016/files/Pas.pdf The dataset contains 45,009 news messages collected from official websites of a Russian (Channel One) and a Ukrainian (Channel 5) TV channels. Ukrainian news items were translated into Russian. The dataset has six variables: text -- a news item; channel -- a source of an item ('first' -- Russian TV channel, 'five' -- Ukrainian TV channel); date -- the date of publishing; url -- links to original news messages.
description: {"references": ["Koltsova, O., & Pashakhin, S. (2019). Agenda divergence in a developing conflict: Quantitative evidence from Ukrainian and Russian TV newsfeeds. Media, War & Conflict. https://doi.org/10.1177/1750635219829876"]}
DOI: 10.5281/zenodo.3585544
title: A dataset with news messages from a Russian and a Ukrainian TV news channels

description: This data was used in the following publications: 1. Koltsova, O., & Pashakhin, S. (2019). Agenda divergence in a developing conflict: Quantitative evidence from Ukrainian and Russian TV newsfeeds. Media, War & Conflict, 1750635 21982987. https://doi.org/10.1177/1750635219829876 2.Pashakhin S. Topic Modeling for Frame Analysis of News Media // Proceedings of the AINL FRUCT 2016. С. 103-105 – URL: http://fruct.org/publications/abstract-AINL-FRUCT-2016/files/Pas.pdf The dataset contains 45,009 news messages collected from official websites of a Russian (Channel One) and a Ukrainian (Channel 5) TV channels. Ukrainian news items were translated into Russian. The dataset has six variables: text -- a news item; channel -- a source of an item ('first' -- Russian TV channel, 'five' -- Ukrainian TV channel); date -- the date of publishing; url -- links to original news messages.
description: {"references": ["Koltsova, O., & Pashakhin, S. (2019). Agenda divergence in a developing conflict: Quantitative evidence from Ukrainian and Russian TV newsfeeds. Media, War & Conflict. https://doi.org/10.1177/1750635219829876"]}
DOI: 10.17632/pfbr97bbsw.1
title: Data for: Ramachandran Conformational Energy Maps for Disaccharide Linkages found in Burkholderia multivorans Biofilm Polysaccharides

description: energies of D-rhamnose ring conformers; time series of rhamnose ring puckers from MD simulations in aqueous solution; probability densities for the alpha-D-mannopyranose-(1-2)-alpha-D-rhamnopyranose disaccharide calculated from MD simulations in vacuum and aqueous solution
DOI: 10.5285/9a333481e9a34c7a8f78902f77ad3fe7
title: ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v1.0

description: This dataset contains permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the Beta version of their Climate Research Data Package (CRDP v0). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v0 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m , 10m) for the Northern Hemisphere (north of 30°) for the period 2003-2017.
DOI: 10.17632/895t4bjv6g.1
title: Data for: Gender aspects in co-creation oriented and traditional businesses

description: In this set of data we are showing some metrics used to assess the co-creation attitude and the gender balance of businesses. The co-creation metrics are based on data collected by using business intelligence tool aimed to count the occurrences of regular expressions on websites and corporate documents. The gender balance metric is assessed by comparing the number of men and women in the businesses’ board of directors. For each file, each row corresponds to a given company (whose web-site is reported in column AD). For each company we are reporting * the relative occurrence of the co-creation associated keywords reported in columns C-Z * data used to assess the gender balance in the businesses board of directors, in columns AA-AC We are reporting these metrics for firms belonging to three different samples: the first is composed of companies listed on the FTSE; the second is composed of companies listed on the NASDAQ; the third is composed of companies engaged in OSS projects that were found in reviewed value co-creation literature. Data are useful to decision-makes, local and national authorities, gender experts and researchers about innovation and co-creation.
DOI: 10.5519/qd.kr3oipkt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.3467101
title: Data related to upward lightning events from the Säntis Tower (Switzerland) during the LMA summer campaign 2017

description: This dataset is associated with the paper titled "Meteorological aspects of self-initiated upward lightning at the Säntis tower (Switzerland)" accepted for publication in Journal of Geophysical Research – Atmospheres (19 September 2019) The data includes lightning mapping array (LMA) data from 3 days of the summer of 2017 measurement campaign that was carried out in the surroundings of the Säntis Mountain (2,505 m ASL, Switzerland). The LMA was deployed to measure upward lightning activity at the Säntis tower. Additional data used in the analysis includes lightning currents from the instrumented Säntis Tower (EPFL and HEIG-VD); Polarimetric weather radar data from the Albis C-band radar (MeteoSwiss); Vertical temperature profiles from the COSMO model and; Wind data from the Säntis meteorological station (MeteoSwiss).
description: This work was supported in part by the Swiss National Science Foundation (Project No. 200020_175594), the European Union's Horizon 2020 research and innovation program under grant agreement No 737033-LLR, and the Spanish Ministry of Economy and the European Regional Development Fund (FEDER) ESP2015-69909-C5-5-R and ESP2017-86263-C4-2-R
description: {"references": ["Pineda et al., Meteorological aspects of self-initiated upward lightning at the S\u00e4ntis tower (Switzerland)"]}
DOI: 10.5281/zenodo.3467102
title: Data related to upward lightning events from the Säntis Tower (Switzerland) during the LMA summer campaign 2017

description: This dataset is associated with the paper titled "Meteorological aspects of self-initiated upward lightning at the Säntis tower (Switzerland)" accepted for publication in Journal of Geophysical Research – Atmospheres (19 September 2019) The data includes lightning mapping array (LMA) data from 3 days of the summer of 2017 measurement campaign that was carried out in the surroundings of the Säntis Mountain (2,505 m ASL, Switzerland). The LMA was deployed to measure upward lightning activity at the Säntis tower. Additional data used in the analysis includes lightning currents from the instrumented Säntis Tower (EPFL and HEIG-VD); Polarimetric weather radar data from the Albis C-band radar (MeteoSwiss); Vertical temperature profiles from the COSMO model and; Wind data from the Säntis meteorological station (MeteoSwiss).
description: This work was supported in part by the Swiss National Science Foundation (Project No. 200020_175594), the European Union's Horizon 2020 research and innovation program under grant agreement No 737033-LLR, and the Spanish Ministry of Economy and the European Regional Development Fund (FEDER) ESP2015-69909-C5-5-R and ESP2017-86263-C4-2-R
description: {"references": ["Pineda et al., Meteorological aspects of self-initiated upward lightning at the S\u00e4ntis tower (Switzerland)"]}
DOI: 10.5285/1ee56c42cf6c4ef698693e00a63795f4
title: ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Active Layer Thickness for the Northern Hemisphere, v1.0

description: This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the beta version of their Climate Research Data Package (CRDP v0). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v0 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness. It covers the Northern Hemisphere (north of 30°) for the period 2003-2017.
DOI: 10.17632/pnyn2ccfhg.1
title: Annotated Impact Echo Dataset (IE2020)

description: Using artificial intelligence, deep learning in particular, requires datasets that are accurately annotated. An annotated impact echo dataset (IE2020) is formed to benchmark, develop, and apply deep learning models for concrete bridge deck evaluation using non-destructive evaluation and testing methods. IE2020 includes impact echo waveforms stored in text files where the first column represents the time and the second column represents the amplitude of the signal. IE2020 is segmented in two folders, each contains impact echo waveforms collected from defected (D) and sound (S) concrete. IE2020 is the first dataset of its kind that is validated with the ground truth (known location and geometry of the defects).
DOI: 10.5281/zenodo.3585612
title: Supplemental Document 01 Figueiredo et al Water 2019

description: <strong>Supplemental Document: Publications used to generate Figure 1.</strong>
DOI: 10.5281/zenodo.3585613
title: Supplemental Document 01 Figueiredo et al Water 2019

description: <strong>Supplemental Document: Publications used to generate Figure 1.</strong>
DOI: 10.15468/tlnlaz
title: MATERIAL EMÉTODOS

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ely e Silva, Eduardo J., Fernandes, José A. M., Grazia, Jocélia (2006): MATERIAL EMÉTODOS. Iheringia, Sér. Zool. 96 (3): 345-362, DOI: 10.1590/S0073-47212006000300012
DOI: 10.5281/zenodo.3585628
title: COMP6 (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from https://github.com/isayev/COMP6. For more information, see http://qcarchive.molssi.org/apps/TODO.
DOI: 10.5281/zenodo.3585660
title: Small RNA dataset whitefly - tomato

description: Datasets for IHSM - UvA collaboration.
DOI: 10.5281/zenodo.3585626
title: Chapter II

description: Thesis title: Effects of sedimentary humic acids on endophytic microbiomes: implications and agronomical potential. Supplementary information of the Chapter II.
DOI: 10.5281/zenodo.3585627
title: Chapter II

description: Thesis title: Effects of sedimentary humic acids on endophytic microbiomes: implications and agronomical potential. Supplementary information of the Chapter II.
DOI: 10.5281/zenodo.3585701
title: Versailles, Urban driving, Automated Driving and VRU detection

description: Scenario description: cyclist and pedestrian detection during automated driving. Session description: Automated Driving part of the trip only. Two rounds: the first one without IoT (VRUs not connected) then with IoT (pedestrian with smartphone/watch and cyclist with connected bike). Datasets descriptions: <strong>AUTOPILOT_Versailles_UrbanDriving_Vehicle: </strong>Data generated from the vehicle sensors Vehicle datasets generated by the vehicle sensors during urban driving at Versailles. This includes the data coming from the CAN bus and GPS. It includes following kind of datasets: Vehicle: general data (speed, battery), PositioningSystem: data from GPS, VehicleDynamics: data about dynamic (acceleration...), Accel: acceleration data, EnvironmentSensorsAbsolute: environment sensors in absolute coordinates <strong>AUTOPILOT_Versailles_UrbanDriving_V2X: </strong>V2X messages during uraban driving sessions Data exchanged with other vehicles and pedestrian during urban driving. SortOfCam: messages sent or received from bicycles <strong>AUTOPILOT_Versailles_UrbanDriving_IoT: </strong>Data extracted from IoT oneM2M platform This dataset refers to messages exchanged by urban driving and car sharing application with vehicle, across oneM2M platform. oneM2M: car sharing status data <strong>AUTOPILOT_Versailles_UrbanDriving_CAM: </strong>CAM messages This dataset refers to messages captured inside the vehicle during car sharing.
DOI: 10.5281/zenodo.3585702
title: Versailles, Urban driving, Automated Driving and VRU detection

description: Scenario description: cyclist and pedestrian detection during automated driving. Session description: Automated Driving part of the trip only. Two rounds: the first one without IoT (VRUs not connected) then with IoT (pedestrian with smartphone/watch and cyclist with connected bike). Datasets descriptions: <strong>AUTOPILOT_Versailles_UrbanDriving_Vehicle: </strong>Data generated from the vehicle sensors Vehicle datasets generated by the vehicle sensors during urban driving at Versailles. This includes the data coming from the CAN bus and GPS. It includes following kind of datasets: Vehicle: general data (speed, battery), PositioningSystem: data from GPS, VehicleDynamics: data about dynamic (acceleration...), Accel: acceleration data, EnvironmentSensorsAbsolute: environment sensors in absolute coordinates <strong>AUTOPILOT_Versailles_UrbanDriving_V2X: </strong>V2X messages during uraban driving sessions Data exchanged with other vehicles and pedestrian during urban driving. SortOfCam: messages sent or received from bicycles <strong>AUTOPILOT_Versailles_UrbanDriving_IoT: </strong>Data extracted from IoT oneM2M platform This dataset refers to messages exchanged by urban driving and car sharing application with vehicle, across oneM2M platform. oneM2M: car sharing status data <strong>AUTOPILOT_Versailles_UrbanDriving_CAM: </strong>CAM messages This dataset refers to messages captured inside the vehicle during car sharing.
DOI: 10.7910/dvn/kg2apr/2yh7ir
title: date2w-access.tab

description: :unav
DOI: 10.7910/dvn/kg2apr/5lztq3
title: access.tab

description: :unav
DOI: 10.7910/dvn/kg2apr/ldnwi3
title: estimates-dga-date2w.Rdata

description: :unav
DOI: 10.7910/dvn/kg2apr/sohqgl
title: merged-records-details.RData

description: :unav
DOI: 10.7910/dvn/kg2apr/81aakc
title: 10-main-analysis.R

description: :unav
DOI: 10.7910/dvn/kg2apr/cnxdeg
title: classified_data-xgboost.RData

description: :unav
DOI: 10.7910/dvn/kg2apr/cqu485
title: 03-import-access.R

description: :unav
DOI: 10.7910/dvn/kg2apr/e6ncnv
title: SYR_adm1.dbf

description: :unav
DOI: 10.7910/dvn/kg2apr/hjbwdc
title: 12-make_oosperformance_table.R

description: :unav
DOI: 10.7910/dvn/kg2apr/hqdxpd
title: 00master.R

description: :unav
DOI: 10.7910/dvn/kg2apr/jp2tic
title: 05-import-viol-for-est.R

description: :unav
DOI: 10.7910/dvn/kg2apr/jwwxqc
title: 02-xgboost_functions.R

description: :unav
DOI: 10.7910/dvn/kg2apr/uzbgtt
title: SYR_adm1.shp

description: :unav
DOI: 10.7910/dvn/kg2apr/ax3nrl
title: README.txt

description: :unav
DOI: 10.7910/dvn/kg2apr/qk26ot
title: 00Codebook.pdf

description: :unav
DOI: 10.7910/dvn/kg2apr/sgujsx
title: 06-estimate_r.R

description: :unav
DOI: 10.21223/p3/2sd9wm/44rxgu
title: SWEETPOv2.1_Setup.rar

description: :unav
DOI: 10.5281/zenodo.3585655
title: PIC: a data reduction algorithm for integral field spectrographs / data and reductions

description: This zip file contains the data and reductions presented in the paper "PIC: a data reduction algorithm for integral field spectrographs"
DOI: 10.5281/zenodo.3585656
title: PIC: a data reduction algorithm for integral field spectrographs / data and reductions

description: This zip file contains the data and reductions presented in the paper "PIC: a data reduction algorithm for integral field spectrographs"
DOI: 10.5281/zenodo.3585633
title: QM7 (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from qmml.org and quantum-machine.org. For more information, see http://qcarchive.molssi.org/apps/TODO.
DOI: 10.5281/zenodo.3585605
title: COMP6 (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from https://github.com/isayev/COMP6. For more information, see http://qcarchive.molssi.org/apps/TODO.
DOI: 10.17861/4248c758-58a6-47b4-b509-3d55a8aaff84
title: Observing mode-dependent wavelength-to-time mapping in few-mode-fibers using TCSPC-SPAD arrays

description: Raw data to calculate arrival time, dispersion, relative modal delay, and refractive index differences of spatial modes