cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8316805
title: Venus coronae topographic (a)symmetry classification (from Gülcher et al., 2023, JGR Planets)

description: This is a PDF file of the coronae classification that accompanies the manuscript "Tectono-magmatic evolution of asymmetric coronae on Venus: Topographic classification and 3D thermo-mechanical modeling" by Gülcher et al. (2023) in Journal of Geophysical Research: Planets, 128, e2023JE007978, https://doi.org/10.1029/2023JE007978 This database consists of the 150 largest coronae (those with a diameter equal to or larger than 300 km) in the publicly available Venusian coronae nomenclature database (USGS Planetary Nomenclature, (https://planetarynames.wr.usgs.gov/Page/VENUS/target) and the database of Stofan et al. (1992, JGR, https://doi.org/10.1029/92je01314) combined, and five additional smaller coronae. The (a)symmetry of these coronae is defined based on the topographic features (e.g., troughs, rims, rises) and their variability across the coronae. For further information on this classification, please see the main paper. The global distribution of this classification is illustrated in Figure 1 in the main paper and Figure S1 in the Supplementary Information SI1.
DOI: 10.5281/zenodo.8320280
title: Seismic node array data for iMUSH shot Y4

description: Matlab file containing waveform data with a sample rate of 250 Hz from 20 s before to 120 s after shot Y4.
DOI: 10.5519/qd.v6pov2fw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (273385 records)
DOI: 10.6084/m9.figshare.21759176
title: Leavenworthia trait records

description: Table containing measurements of traits recorded from greenhouse experiment that were analyzed in this study. Distributions were assessed for normality and homoscedasticity, and trait distributions that did not meet normality assumptions were log-transformed prior to analysis. ANOVA models were run on non-transformed and transformed data for comparison; results and patterns of significance were comparable. Both untransformed and log transformed data are provided in this table.
DOI: 10.4121/uuid:868c025a-1b30-42a8-b722-e6cb66b0ae22
title: Round-trip airborne flat-floating sounding system (RTAFSS) data-2

description: Based on the experiment of the intelligent sounding system, the high-resolution data obtained by the balloon flying is used to study the horizontal atmospheric environment in the stratosphere.
DOI: 10.5281/zenodo.8231113
title: RAP-Chem Model Output for the Beckwourth Complex Fire

description: RAP-Chem data for the Beckwourth Complex Fire between 7/7/2021 and 7/14/2021.
DOI: 10.17632/zj6hrgj5z4.1
title: Meta-analysis_Whipple_et_al_iScience2023

description: Data for pollinator/climate change species response publication submitted to iScience April 2023. Submission ISCIENCE-D-23-02368. UNDER REVIEW. Further information and requests for resources should be directed to and will be fulfilled by the corresponding author, Sarah Whipple (sarahemmawhipple@gmail.com).
DOI: 10.5067/aqua/modis/l3m/pic/2022
title: Aqua MODIS Level 3 Mapped Particulate Inorganic Carbon Data, Version R2022.0
DOI: 10.5281/zenodo.7693759
title: Williams Flats WRF-Fire Output Contain for FMC

description: Configuration and output files for a WRF-Fire simulation starting on August 6th for the contain-FMC sensitivity.
DOI: 10.5067/measures/aer/data204
title: TROPOMI/Sentinel-5P Near UV Aerosol Optical Depth and Single Scattering Albedo L2 1-Orbit Snapshot 7.5 km x 3 km V1
DOI: 10.5281/zenodo.10060593
title: GRWSE-global river  water surface elevation from sentinel-3

description: This dataset includes time series of Water Surface Elevation (WSE) of large rivers at over 3000 virtual stations. The WSE time series were created using Sentinel-3A and Sentinel-3B altimetry data.
DOI: 10.5281/zenodo.4407051
title: ELC10: European 10 m resolution land cover map 2018

description: Refer to preprint here: https://arxiv.org/abs/2104.10922 A land cover classification for Europe at 10 m resolution produced with a machine learning workflow driven by Sentinel optical and radar satellite imagery. The classification model was trained on land cover reference data form the LUCAS (Land Use/Cover Area frame Survey) dataset. The map represents conditions in 2018. The methodology is currently under review, but this will be updated as soon as the paper is available online. Please refer to the publication for accuracy estimates and usage guidelines. The map is split up into a number of raster tiles with the coordinate reference system "EPSG:3035 - ERTS89 / LAEA Europe".The filename of each tile is in the form baseFilename-yMin-xMin where xMin and yMin are the coordinates of each tile within the overall bounding box of the entire ELC10 image. The pixel values, their definitions and suggested hex color codes include: 0 (not mapped #000000), 1 (Artificial land, #CC0303), 2 (Cropland, #CDB400), 3 (Woodland, #235123), 4 (Shrubland, #B76124), 5 (Grassland, #92AF1F), 6 (Bare land, #F7E174), 7 (Water/permanent snow/ice, #2019A4), 8 (Wetland, #AEC3D6).
DOI: 10.6073/pasta/13940d0f82389887764ab8142a11ce69
title: Plant aboveground biomass data: Long-Term Nitrogen Deposition: Population, Community, and Ecosystem Consequences

description: The purpose of this experiment is to measure how adding nitrogen over a long time will affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. The experiment is being conducted within fields (A, B, C, and D) which were initially low in soil nutrients. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. There are 6 replicates of the 9 treatments in fields A, B, and C and 5 replicates in field D. The treatments were randomly assigned to the plots. In fields A, B, and C the plots are in 6 by 9 grids and are 4 by 4 meters in size with 1 meter aisles between plots. In field D the plots are 1.5 by 4 meters and are placed in a 3 by 17 grid. The plots are enclosed by a fence to keep out mammalian herbivores. Gophers are trapped and removed as they appear. Nitrogenfertilizer (NH4NO3) is applied twice per year, once in early May and once in late June. This experiment was begun in 1982 by David Tilman.
DOI: 10.17596/0002069
title: JAMSTEC Seismic Survey Database

description: Due to website renewal, the title was changed "JAMSTEC Seismic Survey Database" from "CRUSTAL STRUCTURAL DATABASE SITE" on July 17, 2020.
description: This is a site of crustal structural data based on the research programs of Frontier Research Program of Subduction Dymamics (1997-2001), the first phase of IFREE (Institute for Frontier Research on Earth Evolution, 2002-2004), the second phase of IFREE (Institute For Research on Earth Evolution, 2004-2009), the third phase of IFREE (Institute For Research on Earth Evolution, 2009-2014), CEAT (Research and Development Center for Earthquake and Tsunami, 2014-2019), and IMG (Research Institute for Marine Geodynamics, 2019-). Categories of accessible data are Multi-Channel Seismic reflection data (MCS), refraction and wide-angle seismic reflection data by Ocean Bottom Seismograph. Due to website renewal, the title was changed "JAMSTEC Seismic Survey Database" from "CRUSTAL STRUCTURAL DATABASE SITE" on July 17, 2020.
DOI: 10.17632/43dtn3zmwp.2
title: Data of the bioethanol dehydration to bioethylene production over doped zeolites

description: The presented data correspond to the study of bioethanol dehydration over doped H-ZSM-5 zeolites. For that, a series of  activity test over H-ZSM-5 zeolites with different Si/Al ratio (26, 280, and 371) were studied for the catalytic dehydration of crude bioethanol derived from distillation after sugarcane fermentation. In addition, Ce and Cu were incorporated as dopants to evaluate their effect on the activity and stability. 

In the folders you will find all the data obtained for each of the conducted experiments. In the folder called "Biothanol dehydration" there is an excel workbook called "Activity results" it contains the experimental data of the product distribution and yields obtained during bioethanol dehydration for different samples of bioethanol. Each of the worksheets corresponds to each catalyst sample. Also, there is a excel workbook called stability results" this field presents the results of a stability test for 140 h at 300 °C with Z26 and Ce-Z26 during bioethanol dehydration.

The folder called "Catalyst characterization" have three excel workbooks which contain the data obtained by XRD, carbon deposition and acid sites. Also, there is a folder called "DRIFTS" that contains the excel workbooks of the experiments for all the tested samples.  All these files contain the results obtained for each of the catalyst used and fresh samples.
DOI: 10.17632/spvftz7gbs.1
title: lifts accidents UK and France

description: UK and France lists accidents
DOI: 10.23708/vjeemu
title: Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability

description: This archive is the supplementary material accompanying the manuscript "Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability" by Paul Taconet, Dieudonne Diloma Soma, Barnabas Zogo, Karine Mouline, Frederic Simard, Alphonsine Amanan Koffi, Roch Kounbobr Dabiré, Cedric Pennetier, and Nicolas Moiroux. The manuscript has been posted as a preprint on biorXiv (https://doi.org/10.1101/2022.08.20.504631). In this data-mining work, we modeled a set of indicators of physiological resistances to insecticide (prevalence of three target-site mutations) and biting behaviours (early- and late-biting, exophagy) of anopheles mosquitoes in two rural areas of West-Africa, located in Burkina Faso and Cote d'Ivoire. To this aim, we used mosquito field collections along with heterogeneous, multisource and multi-scale environmental data. The objectives were i) to assess the small-scale spatial and temporal heterogeneity of the indicators, ii) to better understand their drivers, and iii) to assess their spatio-temporal predictability, at scales that are consistent with operational action. The explanatory variables covered a wide range of potential environmental determinants of vector resistance to insecticide or feeding behaviour: vector control, human availability and nocturnal behaviour, macro and micro-climatic conditions, landscape, etc. The supplementary information is composed of 5 files: Supplementary file 1: Plots and maps of the spatio-temporal distributions of the independent variables used in the models; Supplementary file 2: Graphical representation of the modeling workflow; Supplementary file 3: Plots of the spatio-temporal distribution of mosquito abundance; Supplementary file 4: Results of the GLMM (coefficients / odd ratios, confidence intervals, p-values); Supplementary file 5: Evaluation of the explanatory and predictive performance of the models: boxplots of observed resistance status vs. predicted probabilities for all the GLMM and RF models.
DOI: 10.5066/p9vw97ao
title: Database of invasive annual grass spatial products for the western United States January 2010 to February 2021

description: Invasive annual grasses (IAGs) present a persistent challenge for the ecological management of rangelands, particularly the imperiled sagebrush biome in western North America. Cheatgrass (Bromus tectorum), medusahead (Taeniatherum caput-medusae), and Ventenata spp. are spreading across sagebrush rangelands and already occupy at least 200,000 kilometers squared (km sq.) of the intermountain west. The loss and degradation of native plant communities caused by IAGs threatens the persistence of sagebrush obligate species such as the Greater Sage-grouse (Centrocercus urophasianus) and pygmy rabbit (Brachylagus idahoensis). IAGs convert sagebrush landscapes to monocultures of non-native grasslands that substantially increase the risk of wildfire and degrade important ecosystem services including forage production and quality, soil stability, and carbon sequestration. As a result, the economic consequences of IAGs are substantial. Successful management of IAG invasions depends on extensive and accurate geospatial data that is accessible and interpretable by those charged with managing landscapes across the sagebrush biome. The past decade has seen a rapid growth in these products, yet researchers and managers both report a persistent research-implementation gap between the availability of products and their application. To address this problem, we first conducted a systematic literature review to inventory spatial products released over the past decade that map cheatgrass, medusahead, and Ventenata within the western U.S. at regional and national scales. We then developed a series of informational data resources to guide land managers in understanding and selecting the best available spatial data for their management needs. This Excel-readable .xlsx file version database product represents a searchable, filterable, and sortable collection of summary information for each IAG spatial data product, published from January 2010 to February 2021, we summarized as part of our review. An additional, machine-readable .csv file version of the database is also available for users.
DOI: 10.5281/zenodo.5576833
title: Trajectories and metadata for Bach et al.: 'Holistic re-evaluation of Southern Ocean Iron Fertilization for atmospheric CO2 removal'

description: Trajectory and metadata files from a Southern Ocean surface particle release experiment using Connectivity Modeling System (Paris et al. 2013, https://github.com/beatrixparis/connectivity-modeling-system) run offline in the MOM01 model (Stewart et al., 2017; Spence et al., 2017; Morrison et al., 2020), a global 0.1° ocean sea-ice model, based on version 5 of the Modular Ocean Model (MOM) code (mom-ocean.github.io) (Griffies, 2012). Here particle trajectories are are split into 28 netcdf files (numbered traj_file_01.nc through traj_file_28.nc), and uploaded altogether as a single .tar.gz compressed file. Metadata files are also uploaded containing information on the CMS setup and release locations. Netcdf files contain particle trajectory positions, along with temperature, salinity, status in or out of the mixed layer, release date, and particle exit status (see CMS user guide for details on trajectory files). Other CMS setup files included in each release directory are nest_1.nml, runconf.list, ibm.list, and releaseFile_matchtransport. These input files contain information needed to reproduce the experiment using the MOM01 model output, and are explained in detail in the CMS user guide. Citation of associated paper: Bach, L., V. Tamsitt, K. Baldry, J. McGee, E. Laurenceau-Cornec, R. Strzepek, Y. Xie, P. W. Boyd, 2021. Holistic re-evaluation of Southern Ocean Iron Fertilization for atmospheric CO<sub>2</sub> removal, <em>submitted </em> References: Griffies, S. M. (2012). Elements of the modular ocean model (MOM). <em>GFDL Ocean Group Tech. Rep</em>, 7(620), 47. Morrison, A. K., Hogg, A. M., England, M. H., & Spence, P. (2020). Warm Circumpolar Deep Water transport towards Antarctic driven by local dense water export in canyons. <em>Science Advances</em>, 6(18), eaav2516. Paris, C. B., Helgers, J., van Sebille, E., & Srinivasan, A. (2013). Connectivity Modeling System: A probabilistic modeling tool for the multi-scale tracking of biotic and abiotic variability in the ocean. <em>Environmental Modelling and Software</em>, 42, 47-54. Spence, P., Holmes, R. M., Hogg, A. M., Gries, S. M., Stewart, K. D., & England, M. H. (2017). Localized rapid warming of West Antarctic subsurface waters by remote winds. <em>Nature Climate Change</em>, 7(8), 595. Stewart, K., Hogg, A. M., Gries, S., Heerdegen, A., Ward, M., Spence, P., & England, M. H. (2017). Vertical resolution of baroclinic modes in global ocean models. <em>Ocean Modelling</em>, 113, 50-65.
DOI: 10.5281/zenodo.7719223
title: Geodetic datasets for analysis of southern San Andreas fault geometry from 2017-2021 shallow creep

description: Line-of-sight (LOS) Sentinel-1 InSAR velocities, residual fault-parallel velocities, GNSS vectors, and fault nodes used a study of the shallow structure of the Southern San Andreas Fault in the Coachella Valley.
DOI: 10.13026/kyjw-p786
title: Integration of Electroencephalogram and Eye-Gaze Datasets for Performance Evaluation in Fundamentals of Laparoscopic Surgery (FLS) Tasks

description: Laparoscopic surgery represents a significant advancement in healthcare,
aiming to enhance patient outcomes. However, evaluating performance in
laparoscopic surgery tasks can be challenging due to subjective assessments.
To address this, this study provides a comprehensive description and public
access to electroencephalogram (EEG) and eye-gaze data collected from 25
participants with varying levels of robotic surgery experience. The
participants performed Fundamentals of Laparoscopic Surgery (FLS) tasks using
a trainer box (Pyxus®), focusing on three standard FLS elements. The dataset,
named the NIBIB-RPCCC-FLS dataset, includes performance scores assessed by a
rater after each task attempt. Each participant completed the tasks five
times, with some subjects performing them only twice. The data collection
received support from the National Institute of Biomedical Imaging and
Bioengineering (NIBIB) and Roswell Park Comprehensive Cancer Center (RPCCC),
with the goal of facilitating objective performance evaluation in FLS tasks.
The dataset consists of 315 EEG recordings in the ".edf" format, 315 eye-gaze
recordings in the ".csv" format, performance scores, and participant
demographic data, such as age, gender, dominant hand, and dominant eye.
Notably, this dataset is the first shared collection to include EEG and eye-
gaze data from participants with different experiences in robotic surgery who
performed FLS tasks.
DOI: 10.17632/rf8x3wp6ss.1
title: CCAP: A multi-center and multi-class chest CT dataset for pneumonia identification.

description: A multi-center and multi-class chest CT dataset that contains four types of pneumonia, i.e., COVID-19 pneumonia, non-COVID-19 viral pneumonia, bacterial pneumonia, mycoplasma pneumonia, and normal lung is constructed. The dataset is named COVID-19 & community-acquired pneumonia (CCAP)  and published for further research. How to cite this data:  Pak Kin Wong, Tao Yan, Huaqiao Wang, et al. Automatic detection of multiple types of pneumonia: open dataset and a multi-scale attention network. Biomedical Signal Processing and Control, 2021.
DOI: 10.18112/openneuro.ds004483.v1.0.0
title: ABSeqMEG
DOI: 10.23708/ix5z7u
title: REACT project (Burkina Faso and Côte d'Ivoire, 2016-2018): study sites information

description: This dataset lists the villages involved in the REACT project (Insecticide resistance management in Burkina Faso and Côte d'Ivoire: research on vector control strategies). Led by three scientific institutions – the Institut de Recherche pour le Développement (IRD, France), the Institut de Recherche en Science de la Santé (IRSS, Burkina Faso), and the Institut Pierre Richet (IPR, Côte d’Ivoire) – between 2016 ans 2018, the REACT project aimed to assess whether the addition of complementary vector control strategies to long-lasting insecticidal nets reduces malaria transmission and provides additional protection against malaria in rural areas with a high level of insecticide-resistant vectors. The aforementioned areas were those of Diébougou, southwestern Burkina Faso and Korhogo, northern Côte d'Ivoire. Towards this aim, several villages were selected in each area (27 in the Diébougou area and 28 in the Korhogo area) at the beginning of the project according to the following criteria: accessibility during the rainy season, 200 to 500 inhabitants per village, and distance between villages greater than 2 km. Various data (entomological, epidemiological, human behavioural, etc.) were then collected in these villages during the 2 years-long field phase of the project. This dataset lists the villages involved in the project and provides a set of useful information for each of them: geographic coordinates, population, type of vector control intervention deployed in the context of the project, name of the health center the village is depending on, and distance (euclidian and real) to such health center. This information may be useful for future use of the data that were collected in these villages during the project and subsequently opened (see metadata for the references of the main datasets).
DOI: 10.23708/lv8gew
title: Data and code for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability

description: These data and scripts are accompanying the manuscript "Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability" by Paul Taconet, Dieudonne Diloma Soma, Barnabas Zogo, Karine Mouline, Frederic Simard, Alphonsine Amanan Koffi, Roch Kounbobr Dabiré, Cedric Pennetier, and Nicolas Moiroux. The manuscript has been posted as a preprint on biorXiv (https://doi.org/10.1101/2022.08.20.504631). In this data-mining work, we modeled a set of indicators of physiological resistances to insecticide (prevalence of three target-site mutations) and biting behaviours (early- and late-biting, exophagy) of anopheles mosquitoes in two rural areas of West-Africa, located in Burkina Faso and Cote d'Ivoire. To this aim, we used mosquito field collections along with heterogeneous, multisource and multi-scale environmental data. The objectives were i) to assess the small-scale spatial and temporal heterogeneity of the indicators, ii) to better understand their drivers, and iii) to assess their spatio-temporal predictability, at scales that are consistent with operational action. The explanatory variables covered a wide range of potential environmental determinants of vector resistance to insecticide or feeding behaviour: vector control, human availability and nocturnal behaviour, macro and micro-climatic conditions, landscape, etc. ContentsInput datasets and the R script used for the data analyses are provided. Because the models may take very long to fit (due to the size of the raw data), they were pre-fit, saved as .rds files ('R Data Serialization' format), and made available in the "models" folder. The R script used to answer to one of the reviewer's question (reviewer n°1, question n°1) is also included.
DOI: 10.25318/1710013401-eng
title: Estimates of population (2016 Census and administrative data), by age group and sex for July 1st, Canada, provinces, territories, health regions (2018 boundaries) and peer groups

description: Estimated number of persons on July 1st, by age group and sex, for Canada, provinces and territories, health regions and peer groups.