cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10070282.v1
title: Supplementary Material, Ashford et al. 'A chemosynthetic ecotone – ‘chemotone’ – in the sediments surrounding deep-sea methane seeps'

description: Supplementary material, Ashford et al. 'A chemosynthetic ecotone – ‘chemotone’ – in the sediments surrounding deep-sea methane seeps'. Limnology & Oceanography.Includes: Supplementary Material 1: Figure S1 (sediment sampling locations for all seep sites); Table S1 (average physical distances amongst samples within and between habitat categories for each seep site investigated); Table S2 (Trait groupings and trait modalities used to quantify trait attributes of sampled macrofaunal families); Table S3 (Full SIMPER results for species composition data); Table S4 (Full SIMPER results for functional trait composition data); Table S5 (Details of Generalised Linear Models constructed).Supplementary Material 2: Functional trait scoring references.Dataset S1: Biological and geochemical attributes of samples analysed.Dataset S2: Species and trait assemblages of samples. Dataset S3: Functional trait scoring for all sampled macrofaunal families.Dataset S4: Details of specimens analysed for carbon and nitrogen isotopic characterisation.<br>
DOI: 10.6084/m9.figshare.5840736.v2
title: Spalax TCR dataset

description: Spalax TCR data
DOI: 10.6084/m9.figshare.5840736.v1
title: T cell immunity does not age in a long-lived rodent species

description: In this work we have analysed TCR alpha and beta chain repertoires in Spalax of different age groups. We demonstrated that unlike mice and humans TCR repertoire in Spalax does not shrink with age.
DOI: 10.6084/m9.figshare.5035682.v2
title: Cu-catalyzed addition of azides to iodoalkynes

description: Inputs, outputs and orbitals for all molecules described in<br><br>Pedro J. Silva and Carlos E. P. Bernardo (2018), Influence of Alkyne and Azide Substituents on the Choice of the Reaction Mechanism of the Cu+-Catalyzed Addition of Azides to Iodoalkynes <i>J. Phys. Chem. A,</i> 122, 7497-7507<br>Each file is labelled according to the following table, depending on the specific iodoalkyne/azide combination present<br>A CH3-CC-I and HN3<br>B CH3-CC-I and CH3-N3<br>C CH3-CC-I and PhN3<br>D CH3-CC-I and p-MePhN3<br>E CF3-CC-I and HN3<br>F CH3CH2-CC-I and HN3<br>G Ph-CC-I and HN3<br>H CF3-CC-I and CH3-N3<br>I CH3CH2-CC-I and CH3-N3<br>J Ph-CC-I and CH3-N3<br>K CF3-CC-I and PhN3<br>L CH3CH2-CC-I and PhN3<br>M Ph-CC-I and PhN3<br>N CF3-CC-I and p-MePhN3<br>O CH3CH2-CC-I and p-MePhN3<br>P Ph-CC-I and p-MePhN3<br>Q CH3-CC-I and CF3N3<br>R CF3-CC-I and CF3N3<br>S CH3CH2-CC-I and CF3N3<br>T Ph-CC-I and CF3N3<br>U CH3-CC-I and p-NO2-PhN3<br>V CF3-CC-I and p-NO2-PhN3<br>W CH3CH2-CC-I and p-NO2-PhN3<br>X Ph-CC-I and p-NO2-PhN3<br><br><br><br><br>
DOI: 10.6084/m9.figshare.5035682.v1
title: Cu-catalyzed addition of azides to iodoalkynes

description: Inputs, outputs and orbitals for all molecules described in<br><br>Silva and Bernardo (2017) The reaction mechanism of the Cu+-catalyzed addition of azides to iodoalkynes. (in preparation)<br>
DOI: 10.6084/m9.figshare.1328031.v34
title: Manchester Fly Facility Resources

description: These resources were made available by the Manchester Fly Facility (see link below)
DOI: 10.6084/m9.figshare.1328031.v33
title: Manchester Fly Facility Resources

description: These resources were made available by the Manchester Fly Facility (see link below)
DOI: 10.6084/m9.figshare.13536779.v3
title: Supplementary Appendix 9 of "Toward a geography of community health workers in Niger: a geospatial analysis"

description: Supplementary Appendix 9 contains the input datasets at 100m resolution and 1000m resolution used to derive the modelled outputs in the research article "Toward a geography of community health workers in Niger: a geospatial analysis" by Oliphant and colleagues. Files are available under the Creative Commons Attribution 4.0 International License. Attribution for input datasets prior to transformation is provided in Supplementary Appendix 1 of "Toward a geography of community health workers in Niger: a geospatial analysis" by Oliphant and colleagues.
DOI: 10.6084/m9.figshare.13536779.v2
title: Supplementary Appendix 9 of "Toward a geography of community health workers in Niger: a geospatial analysis"

description: Supplementary Appendix 9 contains the input datasets at 100m resolution and 1000m resolution used to derive the modelled outputs in the research article "Toward a geography of community health workers in Niger: a geospatial analysis" by Oliphant and colleagues. Files are available under the Creative Commons Attribution 4.0 International License. Attribution for input datasets prior to transformation is provided in Supplementary Appendix 1 of "Toward a geography of community health workers in Niger: a geospatial analysis" by Oliphant and colleagues.
DOI: 10.6084/m9.figshare.13547117.v1
title: Fully Printed Wearable Electrode Textile for Electrotherapy Application

description: The tensile stress–strain curve of novel dry electrode.the resistance change of electrode during bending test<br>proceeding 2021<br>
DOI: 10.6084/m9.figshare.12765797.v2
title: Data --- Self-Consistent Inductive Electric Field

description: Data --- Self-Consistent Inductive Electric Field
DOI: 10.6084/m9.figshare.13499655.v1
title: Data.xlsx

description: This is the data reported in the manuscript, entitled "Dissolved methane in the water column of the Saguenay Fjord", submitted to "Marine Chemistry" for consideration for publication.
DOI: 10.6084/m9.figshare.12393794.v1
title: Data from: The role of corals on the abundance of a fish ectoparasite in the Great Barrier Reef

description: Data from: The role of corals on the abundance of a fish ectoparasite in the Great Barrier Reef
DOI: 10.6084/m9.figshare.13551437.v3
title: Biographies of literature writers writen in Spanish language

description: This dataset contains 832 biographies of literature writers retrieved from the Spanish Wikipedia. There is a total of 416 biographies of women writers extracted from the category entitled “Escritoras de España” (https://es.wikipedia.org/wiki/Categoría:Escritoras_de_España) and 416 biographies of male writers extracted from the category “Escritores de España del siglo XX” (https://es.wikipedia.org/wiki/Categoría:Escritores_de_España_del_siglo_XX)
DOI: 10.6084/m9.figshare.13551437.v2
title: Biographies of literature writers writen in spanish language

description: This dataset contains 832 biographies of literature writers retrieved from the Spanish Wikipedia. There is a total of 416 biographies of women writers extracted from the category entitled “Escritoras de España” (https://es.wikipedia.org/wiki/Categoría:Escritoras_de_España) and 416 biographies of male writers extracted from the category “Escritores de España del siglo XX” (https://es.wikipedia.org/wiki/Categoría:Escritores_de_España_del_siglo_XX)
DOI: 10.6084/m9.figshare.13477101.v1
title: Excitation energy transfer kinetics of trimeric, monomeric and subunit-depleted Photosystem I from Synechocystis PCC 6803

description: We present spectroscopic comparison of trimeric Photosystem I from the cyanobacterium Synechocystis PCC 6803 with a monomeric complex from the Δ<i>psaL</i> mutant and a “minimal” monomeric complex ΔFIJL, containing only subunits A, B, C, D, E, K and M. We have collected UV-Vis absorption spectra, circular dichroism spectra and picosecond fluorescence kinetics, at room temperature and 77 K, of isolated Photosystem I complexes and thylakoid membrane fragments of the respective strains.<br><b>File abbreviations</b>CD - circular dichroismDAES - decay-associated emission spectraFIJL - mutant lacking subunits PsaF/I/J/LpsaL - Δ<i>psaL </i>mutantPSI - Photosystem I (isolated)RT - room temperatureThyl - thylakoid membranesTRF - time-resolved fluorescence (kinetics)<br>WT - wild-type Synechocystis PCC 6803 <br>
DOI: 10.6084/m9.figshare.9943274.v3
title: DIET-DlEd-Oct-2019-10-06.pdfDr. NEETU SINGH TOMAR, Post Doctoral Fellow, University Grant Commission New Delhi

description: LETTER REGARDING "PRACHARY-SHIKSHAK HEEN Evam SHIKSHAN-PPASHIKSHAN VIHEEN DEGREE COLLEGON MEN SANCHALIT D. El. Ed. PATHYAKRAMON MEN MANKEEY SHIKSHAN Ke JABARDAST UPEKSHA AUR PAREEKSHA NAKAL-PASS KE GARANTEE Se PRABAVIT CHHATRON Ke HITON-BHAVISYA KEE SURAKSHA HETU"
DOI: 10.6084/m9.figshare.9943274.v2
title: DIET-DlEd-Oct-2019-10-06.pdf

description: LETTER REGARDING "PRACHARY-SHIKSHAK HEEN Evam SHIKSHAN-PPASHIKSHAN VIHEEN DEGREE COLLEGON MEN SANCHALIT D. El. Ed. PATHYAKRAMON MEN MANKEEY SHIKSHAN Ke JABARDAST UPEKSHA AUR PAREEKSHA NAKAL-PASS KE GARANTEE Se PRABAVIT CHHATRON Ke HITON-BHAVISYA KEE SURAKSHA HETU"
DOI: 10.6084/m9.figshare.7582178.v3
title: Dr. Neetu Singh Tomar Ka Farrukhabad Janpad Men Jansampark Aur Vyaktion Ka VivranDr. NEETU SINGH TOMAR, Post Doctoral Fellow, University Grant Commission New Delhi

description: Dr. Neetu Singh Tomar Ka Farrukhabad Men Jansampark-Vyakti Vivran (Dated 07-02-2015 to Dated 05-02-2018)
DOI: 10.6084/m9.figshare.7582178.v2
title: Dr. Neetu Singh Tomar Ka Farrukhabad Janpad Men Jansampark Aur Vyaktion Ka Vivran

description: Dr. Neetu Singh Tomar Ka Farrukhabad Men Jansampark-Vyakti Vivran (Dated 07-02-2015 to Dated 05-02-2018)
DOI: 10.48370/ofd/8jp4bs/aogcij
title: Betula pendula_liście zainfekowane Bacillus subtilis - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/8jp4bs
title: Betula pendula_liście zainfekowane Bacillus subtilis - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.6084/m9.figshare.11382102.v1
title: Data and code for "Sporopollenin chemistry and its durability in the geological record: an integration of extant and fossil chemical data across the seed plants"

description: All datasets and R code needed to run the analyses in the paper. Each dataset and accompanying metadata are provided as .txt files that can read straight into R. There is a readme file included here as well, which provides details on each of the separate files.
DOI: 10.6084/m9.figshare.13574606.v2
title: y5b’2a smFISH conditioning

description: y5b’2a smFISH conditioning
DOI: 10.6084/m9.figshare.13574606.v1
title: y5b’2a smFISH conditioning

description: y5b’2a smFISH conditioning
DOI: 10.6084/m9.figshare.13603586.v1
title: Metabarcoding lemur diet dataset one - Ber-Luthien COI primer set

description: These datasets are associated with the paper titled "Exploratory analysis reveals arthropod consumption in ten lemur species using DNA metabarcoding" accepted in the American Journal of Primatology. <br>Each dataset contains paired .fastq files for 192 samples <br>These data were generated by sequencing faecal samples from lemurs (sampled following all correct protocols - see paper) and detecting arthropod DNA in their diet. <br>We generated the sequences in this dataset by extracting total DNA from faecal samples collected from various lemur species. PCRs were then conducted using two primer sets. <br>Dataset one contains the amplicons generated using primers we coded "Ber-Luthien", sequences from Cuff et al 2020 (Ecological Entomology, doi.org/10.1111/een.12957) which targets a 312bp region of arthropod COI <br>Dataset two contains the amplicons generated using primers we coded "ZBJ", sequences from Zeale et al 2010 (Molecular ecology resources, doi.org/10.1111/j.1755-0998.2010.02920.x) which targets a different region of the arthropod COI gene and generates a shorter fragment (157bp)<br>All amplicons were pooled and sequencing using Illumina MiSeq (250bp PE)<br>The sample ID (AKR#) and the corresponding lemur species from which the lemur faecal sample was analysed can be found in the file SampleInfo.xlsx<br>Data was analysed using the mBRAVE platform (www.mbrave.net)
DOI: 10.6084/m9.figshare.13607276.v1
title: Support for 5G Mission-Critical Applications in Software-Defined IEEE 802.11 Networks

description: Data regarding experiments with network slicing and traffic shaping on IEEE 802.11 networks. The results have been published in a scientific paper.
DOI: 10.6084/m9.figshare.13483599.v1
title: Dataset: unsupervised evaluation of home-based exercise programmes with different types of instructions

description: Background: Benefits from home-based physical therapy programmes are conditioned to the proper execution of the exercises during unsupervised treatment. Different types of instructions, such as videotaped demonstrations and brochures, may influence patient performance at home. Methods: A total of thirty healthy volunteers (mean age of 31 years) had their movements captured with wearable inertial sensors, after video recordings of five exercises with different levels of complexity were demonstrated to them. Participants were then randomised to receive videotaped, written or illustrated instructions, along with wearable sensors for a second unsupervised data capture at home. Movement consistency between the participants’ recordings was assessed with metrics of movement smoothness, intensity, consistency and control. Results: Irrespective of group allocation, subjects executed all the exercises consistently when recording at home and as compared with their performance in the lab. However, all the considered modes of instruction were ineffective in setting the pace, as participants executed all movements faster compared to the demonstrated video footages. Conclusion: Since patient performance is unaffected by the type of the prescribed instructions, healthcare professionals may recommend material based on patient preference in order to improve satisfaction levels. A wearable system with real-time performance metrics and feedback would better aid in therapeutic exercises that ought to be performed with appropriate intensity and range of motion.<br>
DOI: 10.6084/m9.figshare.13199834.v2
title: Daily data of seven stock indices

description: Data provided includes daily values (High, Low, Open, Close values) and 13 technical indicators for 7 stock indices for period of 12 years(2005-17)
DOI: 10.6084/m9.figshare.4711363.v2
title: Upscaling the in-situ measured iso/anisohydry of 102 species to 1-degree resolution using GBIF species occurrence and MODIS land cover data

description: See more details in Li et al 2017 JGR.<b>Data file:</b><br><strong>1. gbif_isohydricity.nc</strong><br>The final upscaled GBIF isohydricity at 1 degree<b>2. MartinezVilalta_IsohydryDatabase_v1.xlsx</b>This is the isohydry database for 102 species from Martínez-Vilalta, J., Poyatos, R., Aguadé, D., Retana, J., Mencuccini, M., 2014. A new look at water transport regulation in plants. New Phytol. 204, 105–115. doi:10.1111/nph.12912<b>3. species_occurence_results_2fields.csv.tar.gz<br></b>The 102 species occurrence records extracted from the huge GBIF plant occurrence database (output of <i>extract_species_occurrence_record.py</i>). Each occurrence record comes with latitude and longitude information. <br><b>4. species_grid_2fields.npy.tar.gz</b>The 102 species occurrence record aggregated to 1-degree grid cell.<b>5. MODIS_LC_fraction_multiple_res.mat</b>MODIS land cover fraction (17 classes) at multiple spatial resolutions (0.05, 0.25, 0.5, 1, and 2 degree).<br><b>Code: </b><b>1. extract_species_occurrence_record.py (Python)</b>Extract occurrence records for the 102 species from GBIF data file<b>2. construct_spatial_record_land_cover.py (Python)</b>Calculate grid cell isohydricity value for each PFT group based on species occurrence. It also gives the number of record, and the number of species at the grid cell. The outputs are 3 (variables) x 7 (PFT group)=21 text files. <b>3. func_gbif_isohydricity_map.m (Matlab)</b>It utilize the text files outputed from <i>construct_spatial_record_land_cover.py to </i>calculate grid cell weighed isohydricity value based on the areal fraction of each PFT group.<br>Find more details inYan Li, Kaiyu Guan, Pierre Gentine, Alexandra G. Konings, Frederick C. Meinzer, John S. Kimball, Xiangtao Xu, William R. L. Anderegg, Nate G. McDowell, Jordi Martínez-Vilalta, David G. Long, Stephen P. Good. Estimating global ecosystem iso/anisohydry using active and passive microwave satellite data, Journal of Geophysical Research, Biogeosciences, 2017.<br>
DOI: 10.6084/m9.figshare.4711363.v1
title: Upscaling the in-situ measured iso/anisohydry of 102 species to 1-degree resolution using GBIF species occurrence and MODIS land cover data

description: See more details in Li et al 2017 JGR.<b>Data file:</b><br><strong>1. gbif_isohydricity.nc</strong><br>The final upscaled GBIF isohydricity at 1 degree<b>2. MartinezVilalta_IsohydryDatabase_v1.xlsx</b>This is the isohydry database for 102 species from Martínez-Vilalta, J., Poyatos, R., Aguadé, D., Retana, J., Mencuccini, M., 2014. A new look at water transport regulation in plants. New Phytol. 204, 105–115. doi:10.1111/nph.12912<b>3. species_occurence_results_2fields.csv.tar.gz<br></b>The 102 species occurrence records extracted from the huge GBIF plant occurrence database (output of <i>extract_species_occurrence_record.py</i>). Each occurrence record comes with latitude and longitude information. <br><b>4. species_grid_2fields.npy.tar.gz</b>The 102 species occurrence record aggregated to 1-degree grid cell.<b>5. MODIS_LC_fraction_multiple_res.mat</b>MODIS land cover fraction (17 classes) at multiple spatial resolutions (0.05, 0.25, 0.5, 1, and 2 degree).<br><b>Code: </b><b>1. extract_species_occurrence_record.py (Python)</b>Extract occurrence records for the 102 species from GBIF data file<b>2. construct_spatial_record_land_cover.py (Python)</b>Calculate grid cell isohydricity value for each PFT group based on species occurrence. It also gives the number of record, and the number of species at the grid cell. The outputs are 3 (variables) x 7 (PFT group)=21 text files. <b>3. func_gbif_isohydricity_map.m (Matlab)</b>It utilize the text files outputed from <i>construct_spatial_record_land_cover.py to </i>calculate grid cell weighed isohydricity value based on the areal fraction of each PFT group.<br>Find more details inYan Li, Kaiyu Guan, Pierre Gentine, Alexandra G. Konings, Frederick C. Meinzer, John S. Kimball, Xiangtao Xu, William R. L. Anderegg, Nate G. McDowell, Jordi Martínez-Vilalta, David G. Long, Stephen P. Good. Estimating global ecosystem iso/anisohydry using active and passive microwave satellite data, Journal of Geophysical Research, Biogeosciences, 2017.<br>
DOI: 10.6084/m9.figshare.13624457.v1
title: Ground motion intensity measures of the Ms 5.1 Tangshan, China Earthquake on July 12, 2020

description: On July 12, 2020, a <i>M</i><sub>s</sub> 5.1 moderate earthquake occurred on the north segment of the Tangshan fault in North China, which was the seismogenic fault of the 1976 <i>M</i><sub>s</sub> 7.8 Tangshan earthquake and numerous small-to-moderate earthquakes in recent decades in the Tangshan seismic zone. The <i>M</i><sub>s</sub> 5.1 event was well recorded by dense ground-motion observation stations, including the national strong-motion stations and seismic intensity stations. Totally, 242 three-component acceleration recordings were well processed and the ground motion intensity measures were calculated, including PGAs, PGVs, and 5%-damped PSAs.
DOI: 10.6084/m9.figshare.13619438.v3
title: Data for PONE-D-20-22017R1 210121UP

description: Dataset for PONE-D-20-22017R1
DOI: 10.6084/m9.figshare.13619438.v2
title: Data for PONE-D-20-22017R1 210121UP

description: Dataset for PONE-D-20-22017R1
DOI: 10.6084/m9.figshare.13641120.v1
title: Low-pass sequencing increases the power of GWAS and decreases measurement error of polygenic risk scores compared to genotyping arrays -- Illumina GSA genotype calls (batch 3)

description: Dataset accompanying the manuscript entitled "Low-pass sequencing increases the power of GWAS and decreases measurement error of polygenic risk scores compared to genotyping arrays". As part of Experiment E in this manuscript, we assayed 120 cell lines using the Illumina GSA v3.0 in triplicate. This dataset comprises VCFs containing variant calls from the third batch of replicates (out of three) of these assayed cell lines. The other two batches comprising the other two replicates of all these individuals can also be found on figshare.
DOI: 10.6084/m9.figshare.12130980.v73
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.