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12,237 results for “2019”
Datasets to "Piecewise quadratic growth during the 2019 novel coronavirus epidemic"
<pre>This directory contains an index.html file with links to the run directories for Figs.8-11 and idl plotting routines with secondary data for the other figures for the paper "Piecewise quadratic growth during the 2019 novel coronavirus epidemic" by Axel Brandenburg (Nordita) with the URL https://arxiv.org/abs/2002.03638 </pre>
Aerocargo Trafic Argentina - from 2014 to 2019 (no covid-19 data included) Critical Infrastructure Risk Research Program
<p>Proyectos Bianuales de Investigación</p> <p>Universidad Nacional de Cuyo</p> <p>Propuestas metodológicas y modelos de concepción, operación y gestión<br> para la reducción de vulnerabilidad e incremento de la resiliencia en la<br> nueva generación de infaestructuras crítica de américa latina.<br> Código Sigeva: B083<br> Resolución Nro.: Otorgamiento: RES 4142/2019-R- Expediente de pago: NOTA-<br> CUY:38892/2019<br> </p>
ECMWF data for analysing smoked-charged vortices after the 2019-2020 Australian wildfires
<p>The dataset contains GRIB2 files produced from the operational IFS model and assimilation system of the European Centre for Medium Range Weather Forecast (ECMWF).</p> <p>OPZLWDA2020mmdd-SH.grd files contain log of surface pressure, zonal wind, meridional wind, temperature, relative vorticity and ozone mixing ratio for the 137 levels of the model on a 1°x1° grid in the southern hemisphere for the long window analysis at 6UTC and 18UTC every day from 1st January 2020 to 31 March 2020.</p> <p>OPZFCST2020mmdd-SH.grd files contain log of surface pressure, temperature, relative vorticity and ozone mixing ratio for the 137 levels of the model on a 1°x1° grid in the southern hemisphere every day for the 10-day forecast run starting at 00UTC every four days from 7 January 2020 to 31 March 2020.</p> <p>For basic access, these files are readable using python tools. The package pygrib available under conda-forge is recommended. The eccode library that allows read from C or Fortran is freely available from ECMWF and is installed along pygrib. Reading with eccode library is also possible in C and Fortran.</p> <p>A simple reader using pygrib is provided. </p> <p>Dedicated packages for the project are available on github/bernard-legras/STC/STC-Australia with dependencies in github/bernard-legras/STC/STC/pylib. The package that reads and process ECMWF data is github/bernard-legras/STC/STC/pylib/ECMWF_N.py. This package needs setup modification to discover the files where they have been copied.</p> <p>All requirements should be made to bernard.legras@lmd.ipsl.fr</p>
Raw data for the publication "Effect of graphene substrate type on formation of Bi2Se3 nanoplates", Sci. Rep. 9, 4791, 2019. https://doi.org/10.1038/s41598-019-41178-1
<p>This dataset contains the raw AFM and SEM measurement data used for the study of stages of formation of Bi2Se3 nanoplates on different substrates and for the statistical analysis of sizes and thicknesses of the nanoplates. The results are published in Sci. Rep. 9, 4791, 2019. https://doi.org/10.1038/s41598-019-41178-1</p>
Analysis of performance indicators for German Library Statistics in 2019
<p>Analyse der Berechenbarkeit von Kennzahlen der ISO 11620:2014 auf Basis der Deutschen Bibliotheksstatistik des Berichtsjahres 2019.</p> <p>Analysis of the calculability of performance indicators of ISO 11620:2014 on the basis of the German Library Statistics of the reporting year 2019.</p>
2019 EMDataResource Model Metrics Challenge Dataset
<p>This is the full dataset of the 2019 Cryo-EM Map-based Model Metrics Challenge sponsored by EMDataResource (<a href="http://www.emdataresource.org">www.emdataresource.org</a>, <a href="http://challenges.emdataresource.org">challenges.emdataresource.org</a>, <a href="http://model-compare.emdataresource.org">model-compare.emdataresource.org</a>). The goals of this challenge were (1) to assess the quality of models that can be produced using current modeling software, (2) to check the reproducibility of modeling results from different software developers and users, and (3) compare the performance of current metrics used for evaluation of models. The focus was on near-atomic resolution maps with an innovative twist: three of four target maps formed a resolution series (1.8 to 3.1 Å) from the same specimen and imaging experiment. Tools developed in previous challenges were expanded for managing, visualizing and analyzing the 63 submitted coordinate models, and several new metrics were introduced.</p> <p>File Descriptions:</p> <ul> <li>2019-EMDataResource-Challenge-web.pdf: Archive of News, Goals, Timeline, Targets, Modelling Instructions, Process, FAQ, Submission Instructions, Submission Summary Statistics source from the <a href="https://challenges.emdataresource.org">EMDR Challenges</a> website</li> <li>correlation-images.tar.gz: Pairwise correlation tables for selected metric scores from the <a href="https://model-compare.emdataresource.org">EMDR Model Compare</a> website</li> <li>maps.tar.gz: The maps used for Fit-to-Map analyses in the Challenge</li> <li>models.tar.gz: The 63 models submitted by the modelling teams</li> <li>results.tar.gz: The output logs for all of the analysis methods</li> <li>Scores.xlsx: Scores for each model and analysis method, compiled into spreadsheet format</li> <li>targets.tar.gz: The reference models used in the analysis</li> </ul> <p>Post submission correction to the web archive PDF document: The full list of EMDataResource members on the model committee is as follows: Cathy Lawson, Andriy Kryshtafovych, Greg Pintilie, Mike Schmid, Helen Berman, Wah Chiu.</p>
Flick SMART multi-catch rodent station and bait station data sets: Council of the city of Sydney, October 2019 to July 2020
<p>Shortly after the enactment of preventative measures aimed at limiting the spread of COVID-19, local governments and public health authorities around the world reported an increased sighting of rats. We combined multi-catch rodent station data, rodent bait stations data, and rodent-related residents' complaints data to explore the effects that social distancing and lockdown measures might have had on the rodent population within the City of Sydney, Australia. We found that rodent captures, activity, and rodent related residents' complaints increased during the COVID-19 related lockdown period, followed by a steep decline post-lockdown. We found no changes in the geographical distribution of any of our indices of rodent abundance. We hypothesize that lockdown measures resulted in an increase in rodent activity driven by a reduction in human-derived food resources. This might have increased the mortality rate triggering a population crash. There is a high chance that the surviving individuals might be rodenticide resistant. It is possible that the onset of COVID-19 might have disrupted commensal rodent populations, with profound implications for the future management of these species. Here we make available multi-catch rodent station data and rodent bait stations data. We do not include rodent-related residents' complaints data due to potential identifier data that could be seen as a breach of private information sharing.</p>
Land Use and Land Cover 2019 of Ribaue Mountains (Mount Ribaue and Mount M'paluwe) in Mozambique
<p>This repository includes the land use and land cover map of the Ribaue Mountains and surroundings (Ribaue district, Nampula province, Mozambique), using remote sensing.</p> <p>The Ribaue massif is a series of granite inselbergs in northern Mozambique near the town of Ribaue in Nampula Province. The main area of the massif is made up of the Serra de Ribaue to the west and the Serra de M'paluwe to the east. The inselbergs rise from a relatively flat landscape at ca 500-600 m altitude up to 1675 m on Monte M'paluwe. They form part of a belt of granite rock outcrops, inselbergs and mountains, running NE-SW across Nampula and Zambezia provinces and including Mt Inago (1804 m) and Mt Namuli (2419 m) to the southwest of the Ribaue massif.</p> <p>This belt is considered as a center of endemism. Overall the site supports 15 nationally endemic plant taxa (plants that only occur in Mozambique), 11 near-endemics (plants that are restricted to Mozambique and neighbouring countries) and 10 taxa that are threatened with extinction on the Global IUCN Red List. Steeply sloping granite rock outcrops, mid-altitude moist forest and miombo woodland are the dominant habitat types at the Ribaue massif. The site also includes smaller areas of gallery forest, marsh, seasonal stream gullies, seepage on granite rock, and shaded granite cliffs.</p> <p>The methodology used in this study is based on a classical approach of remote sensing: satellite image collection (cloud-free and shadow free Sentinel 2, 10 m resolution, two season), identification of land use typology (based on field campains), delineation of training plots, supervised classification of land use using a machine learning algorithm (Random Forest) and finally, calculation of land occupation statistics.</p> <p>The methodology and statistics are presented in the report included in the repository.</p>
Cartes d'affectations des terres en 2016 et 2019 dans le Sud-Est de la Côte d'Ivoire
<p>Ce répertoire contient deux cartes d'occupations du sol dans le Sud-Est de la Côte d'Ivoire respectivement pour les années de référence 2016 et 2019.</p> <p>La méthodologie utilisée pour produire ces cartes est basée sur l’utilisation d’images Sentinel-2 à 10 mètres de résolution sur une zone couvrant 22 014 km2 avec seize catégories d’affectations des terres. Après prétraitements, les images Sentinel-2 ont été soumises à une analyse automatisée sous R en plusieurs étapes dont la classification supervisée avec l’algorithme Random Forest et l’évaluation de la qualité du modèle de classification. Les cartes présentant des précisions globales satisfaisantes (92% pour la carte de 2016 et 87% pour celle de 2019) ont ensuite servi à produire les cartes des conversions des diverses formations forestières. </p> <p>Ces cartes ont été produites dans le cadre des travaux de recherche sur les conversions forestières dans trois régions du Sud-Est de la Côte d'Ivoire et l'analyse des causes de la déforestation. Ce travail a été soumis à la revue Bois et Forêts des Tropiques et est en cours de relecture.</p>
1 km Monthly Maximum Temperature Dataset for China from 1952 to 2019 (ChinaClim_timeseries)
<p>ChinaClim_timeseries is a monthly temperatures and precipitation dataset in China for the period of 1952-2019 of 1km spatial resolution, the data was generated by superimposing monthly anomaly surface and baseline climatology surface (ChinaClim_baseline) based on climatologically aided interpolation (CAI). The scale factor of the data is 0.1.</p>
1 km Monthly Precipitation Dataset for China from 1952 to 2019 (ChinaClim_timeseries)
<p>ChinaClim_timeseries is a monthly temperatures and precipitation dataset in China for the period of 1952-2019 of 1km spatial resolution, the data was generated by superimposing monthly anomaly surface and baseline climatology surface (ChinaClim_baseline) based on climatologically aided interpolation (CAI). The scale factor of the data is 0.1.</p>
Fieldwork conducted in Bykovsky (2019)
<p>These photos were taken during the fieldwork conducted in Bykovsky in July 2019. </p>
Fieldwork conducted in Tiksi (2019)
<p>Photos taken during the social sciences fieldwork conducted in Tiksi (July 2019). </p>
Large-eddy Observatory, Voitsumra Experiment 2019 (LOVE19)
<p>The weak-wind Stable Boundary Layer (wwSBL) is poorly described by theory and breaks basic assumptions necessary for observations of turbulence. Understanding the wwSBL requires distributed observations capable of separating between submeso and turbulent scales. To this end, we present the Large Eddy Observatory, Voitsumra Experiment 2019 (LOVE19) which featured 1350m of fiber optic distributed sensing of air temperature and wind speed, as well as an experimental wind direction method, at scales as fine as 1s and 0.127m, in addition to a suite of point observations of turbulence and ground-based remote sensing. Additionally, flights with a fiber optic cable attached to a tethered balloon provide an unprecedented detailed view of the boundary layer structure with a resolution of 0.254m and 10s between 1-200m height.<br> <br> We anticipate that these data will be of interest to boundary layer researchers, but also may be applicable to other communities that study the exchange between the atmosphere and the surface. The novelty of the DTS data, supported by additional observations, hopefully allows the investigation of research questions that could not be adequately addressed before.<br> <br> A pdf detailing the experiment documentation (LOVE19_AE-Documentation.pdf) is provided to give an overview of the experiment and data in addition to a submitted (and hopefully future) Earth System Science Data (ESSD) manuscript. The AE-Documentation is volume 65 of the Arbeitsergebnisse, Universität Bayreuth, Mikrometeorologie publication series.</p> <p>All data are provided as self-describing netcdfs. Two example scripts (as python-based Jupyter Notebooks) are provided, reconstructing the example figures from the ESSD paper. The examples demonstrate the unique capabilities of the LOVE19 data for examining boundary layer processes: 1) FODS observations between 1m and ~200m height during a period of gravity waves propagating across the entire boundary layer and 2) tracking a near-surface, transient submeso structure that causes an intermittent burst of turbulence.</p>
Appendix 4 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Species list change tracker
<p>For more details see: http://iasreport.sanbi.org.za</p> <p>SANBI and CIB 2020. Appendix 4 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Species list change tracker. South African National Biodiversity Institute, Kirstenbosch and DSI-NRF Centre of Excellence for Invasion Biology, Stellenbosch. http://dx.doi.org/10.5281/zenodo.3947778</p>
Appendix 5 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Pathways change tracker
<p>For more details see: http://iasreport.sanbi.org.za</p> <p>SANBI and CIB 2020. Appendix 5 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Pathways change tracker. South African National Biodiversity Institute, Kirstenbosch and DSI-NRF Centre of Excellence for Invasion Biology, Stellenbosch. http://dx.doi.org/10.5281/zenodo.3947799</p>
A dataset for tracking the activity and abundance of Bogong moths at Ken Green Bogong, near South Ram's Head, NSW in the austral summer of 2019-2020
<p>This dataset contains images captured using wildlife cameras outside two Bogong moth aestivation caves on Ken Green Bogong, near South Ram's Head, NSW in the austral summer of 2019-2020. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (<a href="https://github.com/J-Wall/camfi">https://github.com/J-Wall/camfi</a>).</p>
Domestic and wild native herbivores combined are still overgrazing Patagonia rangelands: A response to Marino et al. (2019)
<p>1. Oliva et al. (2019) based upon primary productivity estimates concluded that, after long periods of overgrazing, Patagonia´s domestic stocks adjusted to regional-scale herbivore carrying capacity at the end of last century. Guanaco populations, a native camelid, increased thereafter driving combined grazing pressures once again over carrying capacity in some areas.</p> <p>2. Marino, Rodriguez and Schroeder (2019) argued that domestic grazing is not really at equilibrium because domestic stocks are concentrated in areas that remain overgrazed. They support the idea that guanacos auto-regulate their density by resource-defence territoriality and are weak competitors with domestic herbivores, occupying marginal areas. In their view Oliva et al. (2019) put guanacos in the role of scapegoats, leaving domestic stocks unchecked. </p> <p>3. Equilibrium at regional scale does not preclude over and under-grazing at smaller (local) scales. By separating areas with and without domestic stocks Marino et al. (2019) estimated 28% and 73% overgrazing in the provinces of Chubut and Santa Cruz, respectively. We recalculated these estimates and found overgrazing of 28% and 47% for Chubut and Santa Cruz, respectively. But when combined with guanaco densities overgrazing increases to 48 and 108% for Chubut and Santa Cruz, respectively.</p> <p>4. We question the hypothesised lack of competitive value and effective self-regulating mechanisms in guanacos. A data set of 13 sheep farms show densities of 12-61 (mean 27) guanacos.km-2 with a combined grazing pressure above carrying capacity. Populations in a protected area in Chubut reached 42 guanacos.km-2, crashed during drought with 60% mortality, and increased thereafter to 70 guanacos.km-2, but even at peak numbers recruitment population rates remained extremely high. </p> <p>5. Synthesis and applications. Marino et al 2019 are right to question the apparent equilibrium of domestic stocks with carrying capacity, as they are concentrated in part of the territory that may be still overgrazed. But ground assessments show that guanaco populations can reach densities well over carrying capacity with or without sheep. This only stresses our conclusion that joint management of the native-domestic herbivore system is urgently needed. Farm management plans may transform an apparent competitor into a valuable natural complementary resource to sheep raising</p>
Dataset of the European Light Microscopy Initiative 2019 Core Facility Large Survey
<p>In occasion of the 2019 ELMI meeting held in Brno, Czech Republic the organizers of the Core Facility day (Laurent Gelman, Marco Marcello, Roland Nitschke, Laure Plantard, Stefan Terjung) launched a Large Core Facility Survey.<br> This repository contains the screenshots of the original survey, a formatted list of questions, and the anonymised data from this survey, a total of 226 responses from 25 countries distributed over 5 continents. Results are subdivided in 5 Areas, Staff, Finances, Equipment, Quality control, IT and Data Management.</p>
Research Data Services in Academic Libraries: A Survey of North American Academic Libraries in 2019
<p>To determine the extent to which research data services (RDS) are supported in academic libraries and how that has changed over a decade, in 2019 a research team led by Carol Tenopir at the University of Tennessee Center for Information and Communication Studies, in collaboration with ACRL-Choice, surveyed academic library directors in the United States and Canada. This survey allowed us to compare results with a similar survey conducted in 2012. The goal of both studies was to discover the types of data services offered, the staffing deployed or anticipated for such services, the training necessary to support RDS, and RDS plans for the future.</p> <p>The associated white paper can be accessed at <a href="http://www.choice360.org/librarianship/whitepaper">http://www.choice360.org/librarianship/whitepaper</a> and downloaded at <a href="https://www.research.net/r/CHOICERDSWP">https://www.research.net/r/CHOICERDSWP</a></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.