cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7893582
title: Dynamic interplay between target search and recognition for a Type I CRISPR-Cas system

description: CRISPR-Cas effector complexes enable the defense against foreign nucleic acids and have recently been exploited as molecular tools for precise genome editing at a target locus. To bind and cleave their target, the CRISPR-Cas effectors have to interrogate the entire genome for the presence of a matching sequence. Here we dissect the target search and recognition process of the Type I CRISPR-Cas complex Cascade by simultaneously monitoring DNA binding and R-loop formation by the complex. We directly quantify the effect of DNA supercoiling on the target recognition probability and demonstrate that Cascade uses facilitated diffusion for its target search. We show that target search and target recognition are tightly linked and that DNA supercoiling and limited 1D diffusion need to be considered when understanding target recognition and target search by CRISPR-Cas enzymes and engineering more efficient and precise variants.
DOI: 10.3886/e190001v1
title: Data and Code for: The Stock Connect to China

description: As a bridge between Chinese mainland and international financial markets, the Stock Connect program allows investors on both sides to gain mutual access. By analyzing how cross-border flows respond to macro-related shocks, we show that compared with possibly homemade foreign investors, genuine foreign investors are more likely affected by the U.S. monetary shocks, the exchange rate risk, the U.S. market performance as well as the cross-market valuation disparity. The paper highlights the importance of profiling different groups of cross-border participants over market integration. <br>
DOI: 10.6084/m9.figshare.20464254
title: Emihu2 data files

description: Genome, transcriptome and proteome level data relating to the Skeffington et al Emiliania huxleyi proteomics paper. See README file in the archive as well as the pre-print / publication for details.
DOI: 10.6084/m9.figshare.20464254.v1
title: Emihu2 data files

description: Genome, transcriptome and proteome level data relating to the Skeffington et al Emiliania huxleyi proteomics paper. See README file in the archive as well as the pre-print / publication for details.
DOI: 10.6084/m9.figshare.22748963
title: Data Used in Statistical Analyses

description: Data used in statistical analyses
DOI: 10.6084/m9.figshare.22748963.v1
title: Data Used in Statistical Analyses

description: Data used in statistical analyses
DOI: 10.5281/zenodo.7838537
title: Scanned data in support of "Paleomagnetic Study of Antarctic Deep-Sea Cores: Paleomagnetic study of sediments in a revolutionary method of dating events in Earth's History"

description: Data files contain paleomagnetic data in an archival format, scanned into PDF documents. Data files contain 11 columns and include: Column 1) Sample identifier with cruise, core, and sample depth Column 2) Demagnetization field or temperature Column 3) Sample Magnetization Column 8) Declination Column 9) Inclination PDFs include paleomagnetic data for: V16-132 V16-133 V16-134 V18-72 V16-57 V16-60 V16-66
description: {"references": ["Opdyke et al., (1966) Paleomagnetic Study of Antarctic Deep-Sea Cores: Paleomagnetic study of sediments in a revolutionary method of dating events in Earth's History, Science, vol. 154, no. 3747, pp. 349-357."]}
DOI: 10.5281/zenodo.7838538
title: Scanned data in support of "Paleomagnetic Study of Antarctic Deep-Sea Cores: Paleomagnetic study of sediments in a revolutionary method of dating events in Earth's History"

description: Data files contain paleomagnetic data in an archival format, scanned into PDF documents. Data files contain 11 columns and include: Column 1) Sample identifier with cruise, core, and sample depth Column 2) Demagnetization field or temperature Column 3) Sample Magnetization Column 8) Declination Column 9) Inclination PDFs include paleomagnetic data for: V16-132 V16-133 V16-134 V18-72 V16-57 V16-60 V16-66
description: {"references": ["Opdyke et al., (1966) Paleomagnetic Study of Antarctic Deep-Sea Cores: Paleomagnetic study of sediments in a revolutionary method of dating events in Earth's History, Science, vol. 154, no. 3747, pp. 349-357."]}
DOI: 10.15784/601685
title: 3-km Surface Mass and Energy Budget for the Larsen C Ice Shelf

description: This dataset includes the 3-km resolution budget terms of surface mass balance (SMB) and surface energy budget (SEB) for the Larsen C Ice Shelf during the melting season of 2017-18. The variables include the SMB budget terms of net surface mass balance, precipitation, runoff, blowing snow erosion, surface sublimation, and blowing snow sublimation, and the SEB budget terms of net surface energy budget, downwelling and upwelling longwave radiation, surface absorbed shortwave radiation, ground heat flux, and sensible / latent heat flux.
DOI: 10.6084/m9.figshare.22720309
title: Extremophile Protist Supplementary Material

description: TableS1_environmentalseqs: Sources of environmental 18s rRNA sequences included in the review, with number of sequences included, environment, sampling condition, and geographic locations. <br> TableS2_isolates: References for the cultivation conditions for each representative isolate are listed, including sampling location, GenBank Accessions, number of sequences included, and presence of published genome, if available. <br> TableS3_taxonomy: Taxonomic output and 18S sequence from DADA2 PR2 database for each sequence included in phylogenetic tree. <br> TableS4_genomefeatures: References of known genome adaptations of extremophile protists, with their form, taxonomic division, and extremophile type.
DOI: 10.6073/pasta/b8665214e6366161f3954c17a6cc8cf8
title: Harmful algal bloom and aquatic weeds data from the Sacramento-San Joaquin Delta, collected to evaluate the impact of the 2021 Temporary Urgency Change Order and Emergency Drought Barrier

description: Condition 8 of the June 2021 Temporary Urgency Change Order for the Central Valley Project (CVP) and State Water Project (SWP) requires a special study of harmful algal blooms (HABs) in the Sacramento–San Joaquin Delta (Delta) and the spread of submersed aquatic vegetation (SAV), and floating aquatic vegetation (FAV), also referred to as “aquatic weeds”. A report on the study was submitted to the State Water Resources Control Board on June 1, 2022. This data package contains all publicly available data used in the report, including visual cyanobacteria reports, cyanotoxin data, water quality, nutrients, flow/hydrodynamics, chlorophyll-a concentrations, temperature, coverage of SAV and FAV, use of herbicides, and human populations. Many of these data were derived from other datasets, though some were collected specifically for this study
DOI: 10.5519/qd.eu8wr4uo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1036456 records)
DOI: 10.58131/es1r-5y81/zijs1p
title: Datase Tabla 2

description: Dentro de las múltiples actividades adelantadas, durante la realización del ESTUDIO NACIONAL DE AGUAS (ENA), por Mejía Millán y Perry Ltda., se encuentra la formulación de un modelo de clasificación sapróbica simplificada para los cursos de agua del país. En este artículo se presenta un resumen de dicho trabajo, tratando de satisfacer los intereses de especialistas y neófitos en el tema a la vez. divulgando los elementos esenciales del modelo de calidad de agua formulado. El modelo, descrito como el modelo sapróbico del ENA, fue formulado como una herramienta de ayuda para las EMAR, Entidades de Manejo de Recursos , en la formulación y adopción de las políticas de administración del agua y control de vertimiento de residuos líquidos.
DOI: 10.6084/m9.figshare.22735193
title: Ketogenic diet-induced shifts in the gutmicrobiome associate with changes to inflammation and circulating brain-related miRNAs in children with autism spectrum disorder

description: This is an MS Excel file (.xlsx) containing the dataset of absolute abundance of 16s. The identifier is seq_number for each sample.
DOI: 10.6084/m9.figshare.22574533
title: COVID Pandemic childcare-policy response dataset (COVID-PCPR)

description: <strong>COVID-PCPR</strong> is an original dataset, capturing rules on modes of pandemic early childhood education and care services (ECEC) and school closures and reopenings in 28 European countries in the first COVID-19 pandemic year (March 2020 to April 2021). For full details see <strong>codebook</strong>.
DOI: 10.34740/kaggle/dsv/5595291
title: #ChatGPT 1000 Daily 🐦 Tweets
DOI: 10.6084/m9.figshare.22753487
title: Untitled Item <strong>Comparative mitogenomics of native European and alien Ponto-Caspian amphipods</strong>

description: <strong>Mitochondrial genomes and annotations of native European and alien Ponto-Caspian amphipods</strong>
DOI: 10.6084/m9.figshare.22753487.v1
title: Untitled Item <strong>Comparative mitogenomics of native European and alien Ponto-Caspian amphipods</strong>

description: <strong>Mitochondrial genomes and annotations of native European and alien Ponto-Caspian amphipods</strong>
DOI: 10.5281/zenodo.7893767
title: Remote sensing and ecological variables related to Influenza A prevalence and subtype diversity in wild birds in the Lluta wetland of northern Chile

description: Supplemental material for manuscript, tables 1 and 2
DOI: 10.5281/zenodo.7893768
title: Remote sensing and ecological variables related to Influenza A prevalence and subtype diversity in wild birds in the Lluta wetland of northern Chile

description: Supplemental material for manuscript, tables 1 and 2
DOI: 10.5519/qd.9kjk46aq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (65 records)
DOI: 10.5281/zenodo.7893722
title: Wind2Loads 6D load simulation database statistics

description: 1. An Excel file providing a list of the environmental conditions used to generate the load simulations. Column names correspond to the variables that are used as load simulation inputs. An "F" prefix in the variable means this is the cumulative distribution function (CDF) of the distribution used to generate the random sample. If there is no F-prefix, the column corresponds to the physical value of the variable. 2. Files containing the 10-minute statistics of load simulations. Files are delimited with semicolon ";" - Filenames specify details about the simulation: "PointNo" corresponds to the sample number listed in the "conditions list" Excel file. "SetNo" corresponds to the random realization (there are 5-8 random realization at each sample point). Each sample realization corresponds to 1h simulations, but the simulation data are split in parts of 10min (so there are 6 "parts" in each realization) - the "part" in the filename indicates which part of the realization this is. - The columns of each stats file are organized as follows (first column considered to have index 1): Column 1: File name For load channel number j, j = 1: n_channels: Column 7*(j-1) + 2: mean value of channel j Column 7*(j-1) + 3: standard deviation of channel j Column 7*(j-1) + 4: minimum of channel j Column 7*(j-1) + 5: maximum of channel j Column 7*(j-1) + 6: DEL4 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 4, for channel j Column 7*(j-1) + 7: DEL8 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 8, for channel j Column 7*(j-1) + 8: DEL12 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 12, for channel j
DOI: 10.5281/zenodo.7893721
title: Wind2Loads 6D load simulation database statistics

description: 1. An Excel file providing a list of the environmental conditions used to generate the load simulations. Column names correspond to the variables that are used as load simulation inputs. An "F" prefix in the variable means this is the cumulative distribution function (CDF) of the distribution used to generate the random sample. If there is no F-prefix, the column corresponds to the physical value of the variable. 2. Files containing the 10-minute statistics of load simulations. Files are delimited with semicolon ";" - Filenames specify details about the simulation: "PointNo" corresponds to the sample number listed in the "conditions list" Excel file. "SetNo" corresponds to the random realization (there are 5-8 random realization at each sample point). Each sample realization corresponds to 1h simulations, but the simulation data are split in parts of 10min (so there are 6 "parts" in each realization) - the "part" in the filename indicates which part of the realization this is. - The columns of each stats file are organized as follows (first column considered to have index 1): Column 1: File name For load channel number j, j = 1: n_channels: Column 7*(j-1) + 2: mean value of channel j Column 7*(j-1) + 3: standard deviation of channel j Column 7*(j-1) + 4: minimum of channel j Column 7*(j-1) + 5: maximum of channel j Column 7*(j-1) + 6: DEL4 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 4, for channel j Column 7*(j-1) + 7: DEL8 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 8, for channel j Column 7*(j-1) + 8: DEL12 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 12, for channel j
DOI: 10.34740/kaggle/dsv/5595404
title: Spotify Daily Top 50 Of 63 countries + Global
DOI: 10.34740/kaggle/dsv/5595418
title: Spotify Daily Top 50 Of 63 countries + Global
DOI: 10.5519/qd.zomd1sg9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (23033 records)
DOI: 10.25345/c5n01040k
title: MassIVE MSV000091848 - Comparing synaptic proteomes across five mouse models for autism reveals converging 2 molecular similarities including deficits in oxidative phosphorylation and Rho GTPase signaling
title: Specific and effective treatments for autism spectrum disorders (ASD) are lacking due to a poor understanding of disease mechanisms. Here, we test the idea that similarities between diverse ASD mouse models are caused by deficits in shared molecular pathways at neuronal synapses. To do this, we leverage the availability of multiple genetic models of ASD that exhibit shared synaptic and behavioral deficits and use quantitative mass spectrometry with isobaric tandem mass tagging (TMT) to compare their hippocampal synaptic proteomes.
DOI: 10.34740/kaggle/dsv/5595444
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.5281/zenodo.7893841
title: MORFITT : A multi-label corpus of French scientific articles in the biomedical domain

description: This article presents MORFITT, the first multi-label corpus in French annotated in specialties in the medical field. MORFITT is composed of 3~624 abstracts of scientific articles from PubMed, annotated in 12 specialties for a total of 5,116 annotations. We detail the corpus, the experiments and the preliminary results obtained using a classifier based on the pre-trained language model CamemBERT. These preliminary results demonstrate the difficulty of the task, with a weighted average F1-score of 61.78%.
DOI: 10.5281/zenodo.7893840
title: MORFITT : A multi-label corpus of French scientific articles in the biomedical domain

description: This article presents MORFITT, the first multi-label corpus in French annotated in specialties in the medical field. MORFITT is composed of 3~624 abstracts of scientific articles from PubMed, annotated in 12 specialties for a total of 5,116 annotations. We detail the corpus, the experiments and the preliminary results obtained using a classifier based on the pre-trained language model CamemBERT. These preliminary results demonstrate the difficulty of the task, with a weighted average F1-score of 61.78%.
DOI: 10.5281/zenodo.7869222
title: Opaline

description: Data related to a Paper in preparation: Liking for bitter vegetables in infancy: A longitudinal study from pregnancy to 24 months on the associations with sensory sensitivity, flavor and food experience and maternal feeding style, Nicklaus, S., Chabanet, C., Lange, C., Monnery-Patris, S., Schwartz. C., Visalli, M., Laval, C., Marlier, L., Schaal, B., Wagner, S., Rigal, N., Schlich, P., Boggio, V., Issanchou, S.
DOI: 10.5281/zenodo.7869221
title: Opaline

description: Data related to a Paper in preparation: Liking for bitter vegetables in infancy: A longitudinal study from pregnancy to 24 months on the associations with sensory sensitivity, flavor and food experience and maternal feeding style, Nicklaus, S., Chabanet, C., Lange, C., Monnery-Patris, S., Schwartz. C., Visalli, M., Laval, C., Marlier, L., Schaal, B., Wagner, S., Rigal, N., Schlich, P., Boggio, V., Issanchou, S.
DOI: 10.5281/zenodo.7893819
title: Wind2Loads 9D load simulation database statistics

description: 1. An Excel file providing a list of the environmental conditions used to generate the load simulations. Column names correspond to the variables that are used as load simulation inputs. An "F" prefix in the variable means this is the cumulative distribution function (CDF) of the distribution used to generate the random sample. If there is no F-prefix, the column corresponds to the physical value of the variable. 2. Files containing the 10-minute statistics of load simulations. Files are delimited with semicolon ";" - Filenames specify details about the simulation: "PointNo" corresponds to the sample number listed in the "conditions list" Excel file. "SetNo" corresponds to the random realization (there are 5-8 random realization at each sample point). Each sample realization corresponds to 1h simulations, but the simulation data are split in parts of 10min (so there are 6 "parts" in each realization) - the "part" in the filename indicates which part of the realization this is. - The columns of each stats file are organized as follows (first column considered to have index 1): Column 1: File name For load channel number j, j = 1: n_channels: Column 7*(j-1) + 2: mean value of channel j Column 7*(j-1) + 3: standard deviation of channel j Column 7*(j-1) + 4: minimum of channel j Column 7*(j-1) + 5: maximum of channel j Column 7*(j-1) + 6: DEL4 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 4, for channel j Column 7*(j-1) + 7: DEL8 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 8, for channel j Column 7*(j-1) + 8: DEL12 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 12, for channel j
DOI: 10.5281/zenodo.7893818
title: Wind2Loads 9D load simulation database statistics

description: 1. An Excel file providing a list of the environmental conditions used to generate the load simulations. Column names correspond to the variables that are used as load simulation inputs. An "F" prefix in the variable means this is the cumulative distribution function (CDF) of the distribution used to generate the random sample. If there is no F-prefix, the column corresponds to the physical value of the variable. 2. Files containing the 10-minute statistics of load simulations. Files are delimited with semicolon ";" - Filenames specify details about the simulation: "PointNo" corresponds to the sample number listed in the "conditions list" Excel file. "SetNo" corresponds to the random realization (there are 5-8 random realization at each sample point). Each sample realization corresponds to 1h simulations, but the simulation data are split in parts of 10min (so there are 6 "parts" in each realization) - the "part" in the filename indicates which part of the realization this is. - The columns of each stats file are organized as follows (first column considered to have index 1): Column 1: File name For load channel number j, j = 1: n_channels: Column 7*(j-1) + 2: mean value of channel j Column 7*(j-1) + 3: standard deviation of channel j Column 7*(j-1) + 4: minimum of channel j Column 7*(j-1) + 5: maximum of channel j Column 7*(j-1) + 6: DEL4 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 4, for channel j Column 7*(j-1) + 7: DEL8 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 8, for channel j Column 7*(j-1) + 8: DEL12 - fatigue damage-equivalent load (DEL) with S-N curve slope m = 12, for channel j
DOI: 10.6084/m9.figshare.3761562.v2575
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.18715/ipgp.2023.lgquie56
title: GRACE/-FO M-SSA Level-3 solution (2003-01 to 2022-09)

description: GRACE/-FO M-SSA Level-3 solution expressed in Equivalent Water Height (EWH) for the January 2003 to September 2022 period using Multichannel Singular Spectrum Analysis (M-SSA) to perfom gap filling and spatio-temporal filtering of CSR, GFZ, GRAZ and JPL GRACE/-FO Level-2 solutions.
DOI: 10.5281/zenodo.5831987
title: GMarc Normalized Data Compilation

description: Working Excel spreadsheet compilation of recently published GMarc normalized datasets mapped onto granular segments of canonical Luke and related statistical findings. There are now over 56400 word tokens mapped.
DOI: 10.5281/zenodo.5811127
title: GMarc Normalized Data Compilation

description: Working Excel spreadsheet compilation of recently published GMarc normalized datasets mapped onto granular segments of canonical Luke and related statistical findings. There are now over 56400 word tokens mapped.
DOI: 10.5281/zenodo.7893862
title: Ring Width Index (RWI) and Standard Precipitation Index (SPI) data for Atmospheric River reconstruction

description: These are the two datasets used for reconstructing atmospheric river activity along the U.S. west coast (under review at the Journal of Geophysical Research: Atmosphere). The first file rwi.mat contains the ring-width-index for the chronologies used to develop the second dataset (SPI_recon.nc). This file is used as the covariate to develop the AR reconstructions (with Poisson regression) and goes back to 1400 CE.
DOI: 10.5066/p9e0jz82
title: 30-Year (1990-2019) Annual Average of DAYMET Precipitation and Temperature for North America

description: This metadata record describes the 30-year annual average of precipitation in millimeters (mm) and temperature (Celsius) during the period 1990?2019 for North America. The source data were produced by and acquired from DAYMET daily climate data (2020) and presented here as a series of two 1-kilometer resolution GeoTIFF files. An open source python code file used to process the data is also included.
DOI: 10.5281/zenodo.7252642
title: CLDF dataset derived from 'West Old Turkic' by András Róna-Tas and Árpád Berta from 2011

description: Cite the source of the dataset as: Róna-Tas, András, & Berta, Árpád. (2011) West Old Turkic. Harrassowitz Verlag, Wiesbaden
DOI: 10.5281/zenodo.7252643
title: CLDF dataset derived from 'West Old Turkic' by András Róna-Tas and Árpád Berta from 2011

description: Cite the source of the dataset as: Róna-Tas, András, & Berta, Árpád. (2011) West Old Turkic. Harrassowitz Verlag, Wiesbaden
DOI: 10.5281/zenodo.7893910
title: CLDF dataset derived from 'West Old Turkic' by András Róna-Tas and Árpád Berta from 2011

description: Cite the source of the dataset as: Róna-Tas, András, & Berta, Árpád. (2011) West Old Turkic. Harrassowitz Verlag, Wiesbaden