cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16923688.v1
title: Country-level predictions for species with predicted zoonotic capacity above 0.5 from Predicting the zoonotic capacity of mammals to transmit severe acute respiratory syndrome coronavirus 2

description: A file showing each species-country for species above a predicted zoonotic capacity score of 0.5. The pairing of species to country is based on IUCN Red List polygons. For each row, columns represent the country, species name, whether they are in the top 10% of our predictions, whether this particular species-country pair intersects with available artificial terrestrial habitat (and the species is known to be found in such habitats), whether this species-country pair overlaps a region with 100,000 cumulative human SARS-CoV-2 cases (as of 17 May 2021), and whether this species is found in one or more of the panels in Figure 6 of the main text. Filename: ESM 2. countrypredictions.csv
DOI: 10.6084/m9.figshare.16923697.v1
title: Predictions of zoonotic capacity for 5,400 mammal species from Predicting the zoonotic capacity of mammals to transmit severe acute respiratory syndrome coronavirus 2

description: Predictions for 5,400 mammal species made using our best performing model for mammal zoonotic capacity (see Supplementary Table 3 for evaluation statistics for this model). All predictions are presented as a probability score ranging from 0 to 1. A low score means the species is unlikely to acquire and transmit SARS-CoV-2 infection. A score around 0.5 means high uncertainty for the classification of the species. High scores mean the species is likely susceptible to SARS-CoV-2. Columns reference the species name (species), the probability score (zoonotic_capacity_score), whether the species prediction is above 0.5 (above_50), whether the species is in the top 10% of predictions (top_10_percent), how many bootstrap predictions out of 50 are above 0.5 (bootstraps_above_50), the mean zoonotic capacity score for these 50 bootstrap predictions (mean_zoonotic_capacity_score), and the standard deviation of these 50 bootstrap predictions (sd_zoonotic_capacity_score). Filename: ESM1. speciespredictions.csv
DOI: 10.6084/m9.figshare.16923697
title: Predictions of zoonotic capacity for 5,400 mammal species from Predicting the zoonotic capacity of mammals to transmit severe acute respiratory syndrome coronavirus 2

description: Predictions for 5,400 mammal species made using our best performing model for mammal zoonotic capacity (see Supplementary Table 3 for evaluation statistics for this model). All predictions are presented as a probability score ranging from 0 to 1. A low score means the species is unlikely to acquire and transmit SARS-CoV-2 infection. A score around 0.5 means high uncertainty for the classification of the species. High scores mean the species is likely susceptible to SARS-CoV-2. Columns reference the species name (species), the probability score (zoonotic_capacity_score), whether the species prediction is above 0.5 (above_50), whether the species is in the top 10% of predictions (top_10_percent), how many bootstrap predictions out of 50 are above 0.5 (bootstraps_above_50), the mean zoonotic capacity score for these 50 bootstrap predictions (mean_zoonotic_capacity_score), and the standard deviation of these 50 bootstrap predictions (sd_zoonotic_capacity_score). Filename: ESM1. speciespredictions.csv
DOI: 10.5281/zenodo.5643183
title: IODP Expedition 341, Hole U1417E - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 341: Southern Alaska Margin Tectonics
DOI: 10.5281/zenodo.5643182
title: IODP Expedition 341, Hole U1417E - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 341: Southern Alaska Margin Tectonics
DOI: 10.6084/m9.figshare.16923766.v1
title: ERS Rasch.sav

description: ERS data
DOI: 10.6084/m9.figshare.16923766
title: ERS Rasch.sav

description: ERS data
DOI: 10.6084/m9.figshare.16923634
title: Data of WCVB paper.sav

description: The original data for the article about Work Commitment and Voice Behavior
DOI: 10.6084/m9.figshare.16923634.v1
title: Data of WCVB paper.sav

description: The original data for the article about Work Commitment and Voice Behavior
DOI: 10.5281/zenodo.5643202
title: IODP Expedition 341, Hole U1418F - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 341: Southern Alaska Margin Tectonics
DOI: 10.5281/zenodo.5643201
title: IODP Expedition 341, Hole U1418F - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 341: Southern Alaska Margin Tectonics
DOI: 10.5281/zenodo.5643210
title: Dataset for "Deep Learning with remote sensing data for image segmentation: example of rice crop mapping using Sentinel-2 images"

description: Dataset for "Deep Learning with remote sensing data for image segmentation: example of rice crop mapping using Sentinel-2 images". image_prediction_pt1 and _pt2 have the same content as image_prediction.zip but split in two parts for faster downloading with Google Colab (to avoid time out) Contact Ricardo Dalagnol ricds@hotmail.com
DOI: 10.5281/zenodo.5498368
title: Dataset for "Deep Learning with remote sensing data for image segmentation: example of rice crop mapping using Sentinel-2 images"

description: Dataset for "Deep Learning with remote sensing data for image segmentation: example of rice crop mapping using Sentinel-2 images". image_prediction_pt1 and _pt2 have the same content as image_prediction.zip but split in two parts for faster downloading with Google Colab (to avoid time out) Contact Ricardo Dalagnol ricds@hotmail.com
DOI: 10.17633/rd.brunel.16803583.v1
title: Data Sets for CaRE Project

description: Mental Health professionals working during the pandemic were exposed to multiple, sudden and dynamic personal and inter-personal stressors. As new protocols were implemented for managing COVID-19, this challenged some of the social and systemic norms teams usually depended upon to provide high-quality patient care. (Aughterson et al., 2021; Magner et al., 2021; Prescott et al., 2020). Exposure to deaths of patients, media communications, resource limitations and poor support mechanisms left some teams with compassion fatigue, burnout, and high sickness rates (Azadnajafabad, 2020; Cox, 2020; Silistraru, 2021; Sumner & Kinsella, 2021; Uphoff et al., 2021). Mental Health services in central and northwest London sought to use their expertise to support not only the patients who were most in need, but also members of staff who were adversely impacted by the pandemic (Havsteen-Franklin & Grant, 2020). This data describes the results of a questionnaire for teams working in physical and mental health care after engaging in team focused arts-based creative exercises to mobilise reflection, team bonding, role values and strategic priorities. The method used a thematic analysis to identify themes from the feedback about helpful and unhelpful factors. The helpful factors were identified by the majority of participants as (1) Safe and supportive facilitation, (2) Getting to know the team in a meaningful way, (3) Creative expression and reflection, (4) Communicating and processing difficult feelings and resistances, (5) Team equality. Unhelpful factors were (1) More time needed to process, (2) Not everyone was heard, (3) Difficult to engage in creative exercises.
DOI: 10.5523/bris.n08fth26gqjn2txmgx2e04q75
title: Data for Electro-Lattice Actuator paper

description: Data to support the results reported in "Electro-Lattice Actuator: a compliant high-contractile active lattice structure", published in 'Smart materials and Structures'. Authors: Sam Hoh, Tim Helps, Richard Suphapol Diteesawat, Majid Taghavi and Jonathan Rossiter
DOI: 10.6069/4wt1-t595
title: Targeted mass spectrometry enables multiplexed quantification of immunomodulatory proteins in clinical biospecimens

description: Immunotherapies are revolutionizing cancer care, producing durable responses and potentially cures in a subset of patients. However, response rates are low for most tumors, grade 3/4 toxicities are not uncommon, and our current understanding of tumor immunobiology is incomplete. While hundreds of immunomodulatory proteins in the tumor microenvironment shape the anti-tumor response, few of them can be reliably quantified. To address this need, we developed a multiplex panel of targeted proteomic assays to 52 peptides representing 46 proteins using peptide immunoaffinity enrichment coupled to multiple reaction monitoring-mass spectrometry.  We validated the assays in tissue and plasma matrices, where performance figures of merit showed over 3 orders of dynamic range and median inter-day CVs of 5.2% (tissue) and 21% (plasma). A feasibility study in clinical biospecimens showed detection of 48/52 peptides in frozen tissue and 38/52 peptides in plasma. The assays are publicly available as a resource for the research community.
DOI: 10.6084/m9.figshare.16640257.v5
title: Augmented Intelligence Trainees - Raw data

description: 1. Filename: Tables_RawData_v5.xlsx<br><br>a) original diagnosis in natural languageb) dx_codec) conversion table (ALIAS sheet)<br>d) demographics of patients e) accuracy/sensitivity/specificity/PPV/NPV.<br><br>f) the cases determined by clinicopathological correlation <br><br>2. Filename : protocol_v3.pdfStudy protocol
DOI: 10.25345/c5fg24
title: MassIVE MSV000088304 - Systems-wide adaptations in Arabidopsis thaliana plant lines grown in 1g and in microgravity environments, ISS Flight 1
title: This research used Arabidopsis thaliana, aiming to identify systems-wide adaptations when plant lines are grown in 1g and microgravity environments. Both leaf and stem samples of WT plants and arogenate dehydratase mutants (adt5, adt45, adt3456) as well as carbon capturing mutants WTCCM and adt3456CCM were grown and analyzed for two separate repeat experiments on board the International Space Station (ISS) as compared to plants grown at 1g at Kennedy Space Center (KSC). These two experiments are named Flight 1 and Flight 2. This work builds upon our recent progress in a) modulating lignin contents and vascular apparatus performance, via manipulating the arogenate dehydratase (ADT) multi-gene family, and b) enhancing carbon concentrating mechanisms (CCMs) to improve photosynthetic carbon assimilation and water use efficiency (WUE), alone and/or in combination with altered lignin levels. The knowledge gained will be essential for optimizing plants for spaceflight exploration and utilization (such as on Moon or Mars bases), as well as gaining new insights and knowledge into the various network interdependencies including, for example, photo-/gravi-tropisms, lignification, and WUE. Samples were digested with trypsin, labeled with 8-plex iTRAQ, then analyzed by LC-MS/MS. Data was searched with MS-GF+ using PNNL's DMS processing pipeline.
DOI: 10.5281/zenodo.5643181
title: Limnodromus scolopaceus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5643180
title: Limnodromus scolopaceus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.4543275
title: Targeted Next-Generation Sequencing indicates a frequent oligogenic involvement in Primary Ovarian Insufficiency onset

description: Raw data resulting from targeted NGS analysis for Primary Ovarian Insufficiency (POI): - Patients 1-49_raw data: annotated .vcf file of 295 candidate genes analyzed in 49 women with POI; - Patients 50-60_raw data: annotated .vcf file of 9 POI genes analyzed in 11 women with POI.
DOI: 10.5281/zenodo.4543274
title: Targeted Next-Generation Sequencing indicates a frequent oligogenic involvement in Primary Ovarian Insufficiency onset

description: Raw data resulting from targeted NGS analysis for Primary Ovarian Insufficiency (POI): - Patients 1-49_raw data: annotated .vcf file of 295 candidate genes analyzed in 49 women with POI; - Patients 50-60_raw data: annotated .vcf file of 9 POI genes analyzed in 11 women with POI.
DOI: 10.5066/p9htergk
title: Update of the Mineral Resources Data System for California including Mineral Deposit Types

description: There are more than 42,000 entries in the USGS Mineral Resources Data System (MRDS) for the State of California. Previously, the field for deposit type was sparsely populated, which made it difficult to evaluate mine sites needing environmental remediation. This has been rectified by populating the deposit type field using 100 deposit types cited in previous USGS publications, and 137 provisional deposit types described here. Other categories listed in the deposit type field include 29 types of mineral processing facilities, 6 miscellaneous categories used previously in MRDS, and 56 unclassified categories tied to primary commodity. References are provided for each deposit type, as available, including descriptive models, grade-tonnage models, and geo-environmental models. The new information on deposit type will be useful to federal, state, and local agencies concerned with prioritizing abandoned mine sites for environmental assessment. A version of the MRDS database for California with deposit types is provided in the files MRDS_CA_Enhanced_with_Deposit_Moel_Data.xlsx. and .csv. Other updates from the version of MRDS available at https://mrdata.usgs.gov/mrds/ include a column identifying duplicate entries (column C, dup_id) and improved consistency in columns representing commodity type (column K, com_type) and primary commodity (column L, commod1). No effort was made to remove or merge duplicate records. Deposit model number (column X, model_no) and model name (column Y, model_name) are explained in the metadata, and in tables 2 through 7. A data dictionary for tables 2 through 7 is provided in table 1. Table 2 T2_Depsosit-type-comparison.xlsx and .csv includes a comparison of USGS model types and provisional model types described here with mineral deposit classification systems used in Brazil and Canada. Table 3 T3_California-deposit-types.xlsx and .csv includes reference citations for the USGS deposit types identified in California, information on commodities and tectonic classification, and an example of each deposit type in California and outside California. Table 4 T4_Provisional-deposit-types.xlsx and .csv lists descriptions of provisional deposit types and an example within California. Table 5 T5_Miscellaneous-categories.xlsx and .csv lists several miscellaneous categories included in MRDS. Table 6 T6_Deposit-types-by-county.xlsx and .csv lists the number of occurrences of each deposit type in each of the 58 counties of California. Table 7 T7_Deposit-types-by-county-sorted-by-abundance.xlsx and .csv lists the same information as in Table 6 sorted by the total number of occurences of each deposit type. The file References_Tables2-4.pdf includes references cited in Tables 2, 3, and 4.
DOI: 10.6073/pasta/a47da4438cb69796e2dfb9c1c5ee488a
title: Meteorological data from El Verde Field Station: NADP Tower

description: Meteorological sensors are located at the top of a 20 m tower, the NADP Tower, behind the main buildings of El Verde Field Station, 350 masl. No large trees are present near the tower. Sensors are connected to a Campbell 1000X data logger, with a storage module, and downloaded every two weeks using a wireless radio connection from the laboratory to the tower. Data are compiled at the station before it is made available. The station was initiated in 2000. Complementary manual measurements of rainfall and maximum and minimum air temperatures are taken on a daily basis at a separate physical location.
DOI: 10.5281/zenodo.5643224
title: IODP Expedition 340T, Hole U1309D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 340T: Atlantis Massif Oceanic Core Complex
DOI: 10.5281/zenodo.5643223
title: IODP Expedition 340T, Hole U1309D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 340T: Atlantis Massif Oceanic Core Complex
DOI: 10.7302/xtvh-tq17
title: MHD-AEPIC simulation data of the geomagnetic storm event
DOI: 10.5281/zenodo.5599729
title: Reproduction package for "Searching for low radio-frequency gravitational wave counterparts in wide-field LOFAR data"

description: This is a basic reproduction package for the paper "Searching for low radio-frequency gravitational wave counterparts in wide-field LOFAR data" by Gourdji et al. (2021) published in MNRAS. It describes the software and settings used to obtain the final data products of the analysis. It also includes a Jupyter notebook and required data to reproduce the tables and figures of this paper.
DOI: 10.5281/zenodo.5599728
title: Reproduction package for "Searching for low radio-frequency gravitational wave counterparts in wide-field LOFAR data"

description: This is a basic reproduction package for the paper "Searching for low radio-frequency gravitational wave counterparts in wide-field LOFAR data" by Gourdji et al. (2021) published in MNRAS. It describes the software and settings used to obtain the final data products of the analysis. It also includes a Jupyter notebook and required data to reproduce the tables and figures of this paper.
DOI: 10.5517/ccdc.csd.cc27t44c
title: CCDC 2079732: Experimental Crystal Structure Determination

description: Related Article: Helmar Görls, Robert Kretschmer, Geng-Hua Chang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27t45d
title: CCDC 2079733: Experimental Crystal Structure Determination

description: Related Article: Helmar Görls, Robert Kretschmer, Geng-Hua Chang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27t46f
title: CCDC 2079734: Experimental Crystal Structure Determination

description: Related Article: Helmar Görls, Robert Kretschmer, Geng-Hua Chang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27t47g
title: CCDC 2079735: Experimental Crystal Structure Determination

description: Related Article: Helmar Görls, Robert Kretschmer, Geng-Hua Chang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27t48h
title: CCDC 2079736: Experimental Crystal Structure Determination

description: Related Article: Helmar Görls, Robert Kretschmer, Geng-Hua Chang|2021|CSD Communication|||
DOI: 10.5281/zenodo.5643138
title: Terremotos volcán de Cumbre Vieja (15/09/21-22/09/21)

description: El contexto del trabajo se enmarca en la situación actual que está viviendo la isla canaria de La Palma con la erupción del volcán de Cumbre Vieja y la gran sismicidad medida en la zona. La información se ha recolectado desde la página web del Instituto Geográfico Nacional o IGN, que se encarga de la planificación y gestión de sistemas de detección y comunicación a las instituciones de los movimientos sísmicos ocurridos en territorio nacional. El conjunto de datos representa los terremotos en España de los 4 días previos y posteriores a la erupción del volcán de Cumbre Vieja, de intensidad entre II y IV (sentidos), magnitud en el rango entre 2 y 5 y una profundidad entre 0 y 30 km. La información está sujeta a modificaciones como consecuencia de la continua revisión del análisis sísmico. Este <em>dataset </em>se ha realizado para completar el trabajo de la Práctica 1 de la asignatura Tipología y Ciclo de Vida de los Datos del Máster en Ciencias de Datos de la UOC.
DOI: 10.5281/zenodo.5643137
title: Terremotos volcán de Cumbre Vieja (15/09/21-22/09/21)

description: El contexto del trabajo se enmarca en la situación actual que está viviendo la isla canaria de La Palma con la erupción del volcán de Cumbre Vieja y la gran sismicidad medida en la zona. La información se ha recolectado desde la página web del Instituto Geográfico Nacional o IGN, que se encarga de la planificación y gestión de sistemas de detección y comunicación a las instituciones de los movimientos sísmicos ocurridos en territorio nacional. El conjunto de datos representa los terremotos en España de los 4 días previos y posteriores a la erupción del volcán de Cumbre Vieja, de intensidad entre II y IV (sentidos), magnitud en el rango entre 2 y 5 y una profundidad entre 0 y 30 km. La información está sujeta a modificaciones como consecuencia de la continua revisión del análisis sísmico. Este <em>dataset </em>se ha realizado para completar el trabajo de la Práctica 1 de la asignatura Tipología y Ciclo de Vida de los Datos del Máster en Ciencias de Datos de la UOC.
DOI: 10.5281/zenodo.5643148
title: Proteomics and phosphoproteomics datasets

description: The proteome and phosphoproteome datafiles.
DOI: 10.6084/m9.figshare.14974050
title: data & script

description: This contains 3 datasets in csv format (; separated) and an annotated R script for replicating the analyses presented in the paper "Sex reversal and performance in fitness-related traits during early life in agile frogs" by Veronika Bókony, Nikolett Ujhegyi, Zsanett Mikó, Réka Erös, Attila Hettyey, Nóra Vili, Zoltán Gál, Orsolya Ivett Hoffmann, and Edina Nemesházi. See the included readme text file for further details.
DOI: 10.6084/m9.figshare.14974050.v1
title: data & script.zip

description: This zip file contains 3 datasets in csv format and an annotated R script for replicating the analyses presented in the paper "Sex reversal and performance in fitness-related traits during early life in agile frogs" by Veronika Bókony, Nikolett Ujhegyi, Zsanett Mikó, Réka Erös, Attila Hettyey, Nóra Vili, Zoltán Gál, Orsolya Ivett Hoffmann, and Edina Nemesházi. See the included readme text file for further details.
DOI: 10.17632/3dwkjjc85m.1
title: "The H3.3K27M oncohistone affects replication stress outcome and provokes genomic instability in pediatric glioma" by Bockaj, Martini, de Camargo Magalhães et al, PLoS Genetics 2021

description: Raw data accompanying the manuscript "The H3.3K27M oncohistone affects replication stress outcome and provokes genomic instability in pediatric glioma" by Bockaj, Martini, de Camargo Magalhães et al, PLoS Genetics, 2021.