cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13274816.v1
title: Identification of novel bacterial biomarkers to detect bird scavenging by invasive rats

description: We found that the rat samples (n = 51: 28 fecals, 23 stomachs) we collected included rats that had consumed birds recently and rats that had not consumed bird recently. We identified 20 rat samples that contained bird DNA (n = 7 feces, n = 13 stomachs). We identified 11 rat samples that contained no bird DNA (n = 9 feces, n = 2 stomachs). We had 20 samples that we could not unambiguously confirm the presence or absence of bird DNA. Ambiguous samples were had either repeatedly low quality sequences, of mixed sequences or the sequence was of high quality, but matched a non-bird taxon (often earthworms and moths). All sequences and their associated data are provided here.
DOI: 10.5281/zenodo.4317540
title: Chiral photoresponsive LCs - photoresponse in mesophase

description: Supplementary video file for a manuscript entitled " Chiral photoresponsive liquid crystalline materials derived from 4´-pentyl-4-cyanobiphenyl (5-CB) "submitted to the special issue Photosensitive Liquid Crystals of Crystals (MDPI journal).
DOI: 10.5281/zenodo.4192516
title: Chiral photoresponsive LCs - photoresponse in mesophase

description: Supplementary video file for a manuscript entitled " Chiral photoresponsive liquid crystalline materials derived from 4´-pentyl-4-cyanobiphenyl (5-CB) "submitted to the special issue Photosensitive Liquid Crystals of Crystals (MDPI journal).
DOI: 10.17037/data.00001989
title: Search strategies to investigate STI testing amongst PrEP users

description: Search strategies were developed for two concepts: sexually transmitted infections; and pre-exposure prophylaxis to inform systematic reviews on related topics. Searches were run across 8 bibliographic databases on 08 December 2020. Complete search strategies are provided for each database. This is an update of the search found at https://doi.org/10.17037/DATA.00001778.
DOI: 10.34740/kaggle/dsv/1734560
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.15454/lyxyt5/xic2qa
title: pytest.ini

description: :unav
DOI: 10.15454/lyxyt5/pibo62
title: modules.rst

description: :unav
DOI: 10.15454/lyxyt5/zokizj
title: __init__.py

description: :unav
DOI: 10.15454/lyxyt5/foubaw
title: eldam_comparison_with_difference.png

description: :unav
DOI: 10.15454/lyxyt5/jyzrvd
title: simapro2excel.svg

description: :unav
DOI: 10.15454/lyxyt5/lj1nsa
title: elda_b.xlsm

description: :unav
DOI: 10.15454/lyxyt5/dcku0l
title: elda_to_simapro.py

description: :unav
DOI: 10.15454/lyxyt5/2atdmt
title: comparing-simapro-export-with-elda.rst

description: :unav
DOI: 10.15454/lyxyt5/2hbioh
title: test_write_elda.py

description: :unav
DOI: 10.15454/lyxyt5/icxgsn
title: continue.svg

description: :unav
DOI: 10.15454/lyxyt5/rqpwmq
title: VBA_project_warning.png

description: :unav
DOI: 10.15454/lyxyt5/uq4xoa
title: Capture.PNG

description: :unav
DOI: 10.15454/lyxyt5/5gdzvz
title: documentation.rst

description: :unav
DOI: 10.15454/lyxyt5/cyl8du
title: libcrypto-1_1.dll

description: :unav
DOI: 10.15454/lyxyt5/7stmbb
title: xlsx_a_exported_from_edition_window.XLSX

description: :unav
DOI: 10.15454/lyxyt5/7hultt
title: base_widgets.py

description: :unav
DOI: 10.15454/lyxyt5/afbu1t
title: __init__.py

description: :unav
DOI: 10.15454/lyxyt5/lahv5q
title: elda_b.xlsm

description: :unav
DOI: 10.21258/1576667
title: Inventario forestale nazionale svizzero - Tabella n. 899316
DOI: 10.21258/1578797
title: Inventario forestale nazionale svizzero - Tabella n. 891900
DOI: 10.21258/1591416
title: Inventario forestale nazionale svizzero - Tabella n. 897434
DOI: 10.21258/1536308
title: Inventaire forestier national suisse - Tableau no 898349
DOI: 10.21258/1593721
title: Inventario forestale nazionale svizzero - Tabella n. 897460
DOI: 10.21258/1570318
title: Inventaire forestier national suisse - Tableau no 898974
DOI: 10.21258/1611329
title: Inventario forestale nazionale svizzero - Tabella n. 898967
DOI: 10.21227/vgkn-0409
title: ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)

description: At the intersection of signal processing and information forensics, the Signal Processing Cup 2016 global competition has explored a time-varying location-dependent signature of power grids that can be intrinsically captured in media recordings. This signature is called the Electric Network Frequency (ENF) signals. Throughout the SP Cup 2016 competition, participants were provided with multiple training, practice, and testing datasets that consisted of recordings made in different grids and containing ENF traces. Participants were asked to extract the ENF signals from the recordings and use them to build a classification system that seeks to identify the grid-of-origin of an ENF-containing recording.
DOI: 10.21227/x5b9-yc88
title: ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)

description: At the intersection of signal processing and information forensics, the Signal Processing Cup 2016 global competition has explored a time-varying location-dependent signature of power grids that can be intrinsically captured in media recordings. This signature is called the Electric Network Frequency (ENF) signals. Throughout the SP Cup 2016 competition, participants were provided with multiple training, practice, and testing datasets that consisted of recordings made in different grids and containing ENF traces. Participants were asked to extract the ENF signals from the recordings and use them to build a classification system that seeks to identify the grid-of-origin of an ENF-containing recording.
DOI: 10.21258/1537515
title: Inventaire forestier national suisse - Tableau no 891685
DOI: 10.5281/zenodo.4317504
title: Fiji/CellProfiler cell migration timelapse data set and code

description: This zenodo upload consists of: Fiji IJMacro script create_LabelledMasks.ijm<br> CellProfiler pipeline TrackMate_CellProfiler.cppipe<br> Matlab script Plot_per_cell.m <br> <br> Saved manually curated TrackMate project crop_1_60_ManualCuration.xml<br> Saved Spots Results Table of manually curated TrackMate project: Spots in tracks statistics.csv<br> CellProfiler pipeline output cp_output.zip Example data set crop_1_60.tif - subset of image data previously described in: <strong>Shafqat-Abbasi, H., Kowalewski, J. M., Kiss, A., Gong, X., Hernandez-Varas, P., Berge, U., Jafari-Mamaghani, M., Lock, J. G., and Strömblad, S. 2016. An analysis toolbox to explore mesenchymal migration heterogeneity reveals adaptive switching between distinct modes. eLife 5:e11384–e11384.</strong><br> Many thanks to Staffan Strömblad et al. for sharing the data.
DOI: 10.21227/p3j7-0693
title: ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)

description: At the intersection of signal processing and information forensics, the Signal Processing Cup 2016 global competition has explored a time-varying location-dependent signature of power grids that can be intrinsically captured in media recordings. This signature is called the Electric Network Frequency (ENF) signals. Throughout the SP Cup 2016 competition, participants were provided with multiple training, practice, and testing datasets that consisted of recordings made in different grids and containing ENF traces. Participants were asked to extract the ENF signals from the recordings and use them to build a classification system that seeks to identify the grid-of-origin of an ENF-containing recording.
DOI: 10.21258/1623397
title: Inventario forestale nazionale svizzero - Tabella n. 897858
DOI: 10.21258/1594805
title: Inventario forestale nazionale svizzero - Tabella n. 897980
DOI: 10.5281/zenodo.4271722
title: Data for 'Ultrafast strain engineering and coherent structural dynamics from resonantly driven optical phonons in LaAlO3'

description: This folder contains all the raw data required to generate the figures in the work 'Ultrafast strain engineering and coherent structural dynamics from resonantly driven optical phonons in LaAlO3'. <strong>Contents</strong> <em>Figure 2:</em> (a) Time resolved balanced reflection data for the short and long time periods: LongTimeData.txt and ShortTimeData.txt. The corresponding Fourier spectra shown in the inset: InsetFourier_LongTimeData.txt and InsetFourier_ShortTimeData.txt (b) Time resolved polarization rotation data for the short and long time periods: LongTimeData.txt and ShortTimeData.txt. The corresponding Fourier spectra shown in the inset: InsetFourier_LongTimeData.txt and InsetFourier_ShortTimeData.txt <em>Figure 3:</em> (a) Time-resolved polarization rotation data after excitation at two different pump photon energies: trace_85meV_excitation.txt and trace_124meV_excitation.txt. Amplitude as function of central pump photon energy: Inset_Wavelength_dependence.txt and the absorption of LaAlO3: Inset_absorption.txt (b) The raw data for different polarizations: traces_angle_dependence.txt (c) The experimentally obtained (AmplitudeExperiment.txt) and DFT calculated values (AmplitudeDFT.txt). <em>Figure 4</em> (a) Fourier spectra (and double Gaussian fit) corresponding to time-resolved measurments after excitation at different central photon energies: FourierSpectraData.txt (and FourierSpectraFits). Inset: Extracted peak amplitude (Inset_StrainvsWavelength.txt) and Gaussian fit of the TA strain (Inset_GaussianFit.txt). (b)The TA/LA ratio as function of pump photon energy (SoundWaveRatio.txt) and the Lorentzian fit (RatioFit.txt). And the absorption of LaAlO3 (Absorption_coefficient.txt).
description: Funding: European Research Council, grant. No. 677458 (Alter-Materia) NWO/OCW as part of the VIDI program FRS-FNRS, consortium des Equipements de Calcul Intensif (CÉCI, grants No. 2.5020.11 and No. 1175545) Tier-1 supercomputer of the Fédération Wallonie-Bruxelles funded by the Walloon Region (Grant. No. 1117545)
DOI: 10.5281/zenodo.4271721
title: Data for 'Ultrafast strain engineering and coherent structural dynamics from resonantly driven optical phonons in LaAlO3'

description: This folder contains all the raw data required to generate the figures in the work 'Ultrafast strain engineering and coherent structural dynamics from resonantly driven optical phonons in LaAlO3'. <strong>Contents</strong> <em>Figure 2:</em> (a) Time resolved balanced reflection data for the short and long time periods: LongTimeData.txt and ShortTimeData.txt. The corresponding Fourier spectra shown in the inset: InsetFourier_LongTimeData.txt and InsetFourier_ShortTimeData.txt (b) Time resolved polarization rotation data for the short and long time periods: LongTimeData.txt and ShortTimeData.txt. The corresponding Fourier spectra shown in the inset: InsetFourier_LongTimeData.txt and InsetFourier_ShortTimeData.txt <em>Figure 3:</em> (a) Time-resolved polarization rotation data after excitation at two different pump photon energies: trace_85meV_excitation.txt and trace_124meV_excitation.txt. Amplitude as function of central pump photon energy: Inset_Wavelength_dependence.txt and the absorption of LaAlO3: Inset_absorption.txt (b) The raw data for different polarizations: traces_angle_dependence.txt (c) The experimentally obtained (AmplitudeExperiment.txt) and DFT calculated values (AmplitudeDFT.txt). <em>Figure 4</em> (a) Fourier spectra (and double Gaussian fit) corresponding to time-resolved measurments after excitation at different central photon energies: FourierSpectraData.txt (and FourierSpectraFits). Inset: Extracted peak amplitude (Inset_StrainvsWavelength.txt) and Gaussian fit of the TA strain (Inset_GaussianFit.txt). (b)The TA/LA ratio as function of pump photon energy (SoundWaveRatio.txt) and the Lorentzian fit (RatioFit.txt). And the absorption of LaAlO3 (Absorption_coefficient.txt).
description: Funding: European Research Council, grant. No. 677458 (Alter-Materia) NWO/OCW as part of the VIDI program FRS-FNRS, consortium des Equipements de Calcul Intensif (CÉCI, grants No. 2.5020.11 and No. 1175545) Tier-1 supercomputer of the Fédération Wallonie-Bruxelles funded by the Walloon Region (Grant. No. 1117545)
DOI: 10.21258/1602531
title: Inventario forestale nazionale svizzero - Tabella n. 899435
DOI: 10.21258/1616493
title: Inventario forestale nazionale svizzero - Tabella n. 897598
DOI: 10.21258/1530515
title: Inventaire forestier national suisse - Tableau no 892000
DOI: 10.21258/1600747
title: Inventario forestale nazionale svizzero - Tabella n. 891763
DOI: 10.6084/m9.figshare.12130980.v59
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.21258/1608102
title: Inventario forestale nazionale svizzero - Tabella n. 891961
DOI: 10.21258/1568298
title: Inventaire forestier national suisse - Tableau no 896951
DOI: 10.21258/1611557
title: Inventario forestale nazionale svizzero - Tabella n. 897018
DOI: 10.5066/p98guulu
title: Results of leaching experiments on 12 energy-related shales from the United States

description: Inorganic compositions of flowback and co-produced waters from hydrocarbon extraction have been studied directly and through laboratory experiments that seek to replicate subsurface water-rock interaction. Here a broad analysis is made of compositions from the U.S. Geological Survey Produced Waters Database (v2.3) and leachates (water, hydrochloric acid, artificial brine) for 12 energy-resource related shales from across the United States. The database illustrates common ranges for 26 elements in 4 produced water types and enhanced solubility with increasing ionic strength is observed for Al, Ba, Fe, Li, Mn, Rb, Sr, and possibly 11 other elements. Differences are observed between laboratory leachates and produced waters. Reasons for those differences include: (1) ionic strength effects and low ionic strength of some leachates relative to subsurface brines, (2) pH-sensitivity of constituents and leachate offsets from produced water pH values, (3) oxidative conditions and enhanced pyrite oxidation in leachates compared to subsurface conditions, (4) kinetic controls on reaction rates and insufficient durations for leaching experiments, (5) leachate water-rock ratios that are commonly 3 or 4 orders of magnitude greater than in the subsurface. The findings provide important context for interpreting produced water compositions and efforts to simulate them in the laboratory.
DOI: 10.21258/1592747
title: Inventario forestale nazionale svizzero - Tabella n. 899427
DOI: 10.21258/1545363
title: Inventaire forestier national suisse - Tableau no 897542
DOI: 10.21258/1570004
title: Inventaire forestier national suisse - Tableau no 897920
DOI: 10.21258/1610617
title: Inventario forestale nazionale svizzero - Tabella n. 891762
DOI: 10.21258/1587148
title: Inventario forestale nazionale svizzero - Tabella n. 898031
DOI: 10.21258/1617716
title: Inventario forestale nazionale svizzero - Tabella n. 898067
DOI: 10.21258/1536229
title: Inventaire forestier national suisse - Tableau no 897671
DOI: 10.21429/y6tv-5h64
title: Local demographic rates and CTMax values of four Eleutherodactylus frogs in Puerto Rico, 2017-2019

description: We determined their critical thermal maximum (CTMax) of four species of Eleutherodactylus frogs (E. wightmanae, E. brittoni, E. antillensis, E. coqui) to understand their response to warming temperatures. Data consist of capture history, body condition, and temperature at which the frog exhibited spasms and erratic behavior, which may impair predator avoidance. Our results underscored the potential vulnerability of Eleutherodactylus species exhibiting lower CTMax to the forecasted warming of tropical zones (e.g., E. wightmanae, E. brittoni).
Child Items (0)
DOI: 10.21258/1588925
title: Inventario forestale nazionale svizzero - Tabella n. 891736
DOI: 10.21258/1614885
title: Inventario forestale nazionale svizzero - Tabella n. 891910
DOI: 10.5281/zenodo.4317771
title: ASI RESOXS EXP 2020 Dec

description: ASI RESOXS EXP 2020 Dec
DOI: 10.5281/zenodo.4317770
title: ASI RESOXS EXP 2020 Dec

description: ASI RESOXS EXP 2020 Dec
DOI: 10.21258/1622588
title: Inventario forestale nazionale svizzero - Tabella n. 892959
DOI: 10.25387/g3.13363646.v1
title: Supplemental Material for Xue et al., 2020

description: This is a datasheet transferred from a gtf file, it shows the annotation of a genome we worked in our study and as the supplementary table 1 in our manuscript
DOI: 10.25387/g3.13363646
title: Supplemental Material for Xue et al., 2020

description: This is a datasheet transferred from a gtf file, it shows the annotation of a genome we worked in our study and as the supplementary table 1 in our manuscript
DOI: 10.21258/1531327
title: Inventaire forestier national suisse - Tableau no 898955
DOI: 10.21258/1582229
title: Inventario forestale nazionale svizzero - Tabella n. 898013
DOI: 10.21258/1540663
title: Inventaire forestier national suisse - Tableau no 899497
DOI: 10.21258/1556148
title: Inventaire forestier national suisse - Tableau no 897503
DOI: 10.21258/1586274
title: Inventario forestale nazionale svizzero - Tabella n. 898723
DOI: 10.21258/1618391
title: Inventario forestale nazionale svizzero - Tabella n. 902042
DOI: 10.5281/zenodo.4317755
title: Supplementary Table S3.3

description: Allelic diversity of genes putatively involved in S. agalactiae virulence among ST17 and ST19 strains.
DOI: 10.5281/zenodo.4317754
title: Supplementary Table S3.3

description: Allelic diversity of genes putatively involved in S. agalactiae virulence among ST17 and ST19 strains.
DOI: 10.5281/zenodo.4317773
title: Supplementary Table S3.5

description: Antimicrobial resistance among ST17 and ST19 strains.
DOI: 10.5281/zenodo.4317762
title: Supplementary Table S3.4

description: Allelic diversity of genes putatively involved in S. agalactiae virulence among ST17 and ST19 strains.
DOI: 10.5281/zenodo.4317772
title: Supplementary Table S3.5

description: Antimicrobial resistance among ST17 and ST19 strains.
DOI: 10.5281/zenodo.4317761
title: Supplementary Table S3.4

description: Allelic diversity of genes putatively involved in S. agalactiae virulence among ST17 and ST19 strains.
DOI: 10.6084/m9.figshare.13368749
title: fly_sequences_for_phylogeny

description: Sequences for fly host species used to build phylogeny for the temperature study
DOI: 10.6084/m9.figshare.13368749.v1
title: fly_sequences_for_phylogeny

description: Sequences for fly host species used to build phylogeny for the temperature study
DOI: 10.5281/zenodo.4243000
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Tracy Fuentes, https://orcid.org/0000-0003-2238-2161. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.21258/1545441
title: Inventaire forestier national suisse - Tableau no 899467
DOI: 10.21227/54wz-2v56
title: AURORA, A multi sensor dataset for robotic ocean exploration

description: The current maturity of autonomous underwater vehicles (AUVs) has made their deployment practical and cost-effective, such that many scientific, industrial and military applications now include AUV operations. However, the logistical difficulties and high costs of operating at-sea are still critical limiting factors in further technology development, the benchmarking of new techniques and the reproducibility of research results. To overcome this problem, we present a freely available dataset suitable to test control, navigation, sensor processing algorithms and others tasks. This dataset combines AUV navigation data, side-scan sonar, multibeam echosounder data and seafloor camera image data, and associated sensor acquisition meta-data to provide a detailed characterisation of surveys carried out by the National Oceanography Centre (NOC) in the Greater Haig Fras Marine Conservazion Zone (MCZ) of the U.K in 2015.
DOI: 10.21258/1572475
title: Inventaire forestier national suisse - Tableau no 899280
DOI: 10.6084/m9.figshare.6653192
title: Drosophila genes used to build phylogeny

description: List of Genbank accession numbers for genes used for building phylogenic trees for Drosophila study
DOI: 10.6084/m9.figshare.6653192.v2
title: Drosophila genes used to build phylogeny

description: List of Genbank accession numbers for genes used for building phylogenic trees for Drosophila study
DOI: 10.21258/1579708
title: Inventario forestale nazionale svizzero - Tabella n. 899647
DOI: 10.21258/1611066
title: Inventario forestale nazionale svizzero - Tabella n. 891716
DOI: 10.5281/zenodo.4317822
title: A hierarchical Bayesian model for understanding trends in the U.S. tornado records

description: The directory includes the required information for running the exploratory analysis and Bayesian model.
description: {"references": ["United States Storm Prediction Center , https://www.spc.noaa.gov/wcm/", "National Oceanic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction (NCEP)", "The US Census Bureau, Population Division"]}
DOI: 10.21258/1545227
title: Inventaire forestier national suisse - Tableau no 891796
DOI: 10.21258/1595466
title: Inventario forestale nazionale svizzero - Tabella n. 891887