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12,237 results for “2019”
National Checklists 2019: Hong Kong Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Hong Kong collected using effechecka and geonames polygons
National Checklists 2019: Serbia Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Serbia collected using effechecka and geonames polygons
National Checklists 2019: Guinea Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Guinea collected using effechecka and geonames polygons
Comprehensive List of Non-Native Species Established in Three Major Regions of the U.S: Simpson et al, 2019
Simpson, Annie; Eyler, Meghan C.; Sikes, Derek; Bowser, Matt; and Sellers, Elizabeth A. (2020) A comprehensive list of non-native species established in three major regions of the United States: Version 3.0, (ver. 3.0, 2020): U.S. Geological Survey data release, <p></p>https://doi.org/10.5066/P9E5K160.<p></p>Simpson, A., Eyler, M.C., Sikes, D., Bowser, M., Sellers, E., Guala, G.F., Cannister, M., Libby, R., and Kozlowski, N., 2019, A comprehensive list of non-native species established in three major regions of the United States: Version 2.0, (ver. 2.0, 2019): U.S. Geological Survey data release, <p></p>https://doi.org/10.5066/P9E5K160.
Kawahara et al, 2019
Kawahara, A.Y., Plotkin, D., Hamilton, C.A. et al. Diel behavior in moths and butterflies: a synthesis of data illuminates the evolution of temporal activity. Org Divers Evol 18, 13–27 (2018). <p></p>https://doi.org/10.1007/s13127-017-0350-6<p></p>
PMF-LP: the first 10 m plastic-mulched farmland distribution map (2019-2021) in the Loess Plateau of China generated using training sample generation and classifier transfer method
<p>This dataset provides 10-m resolution plastic-mulched farmland distribution map in the Loess Plateau of China from 2019 to 2021</p> <p>*** The data file is in ".tif" format</p> <p>*** Temporal resolution: Annually</p> <p>*** Temporal coverage: 2019-2021</p> <p>*** Pixel size: 10 m</p> <p>*** Projection information: EPSG: 4326</p> <p>*** Values: 1 denotes plastic-mulched farmland (PMF) and 0 denotes non-plastic-mulched farmland (non-PMF)</p>
North-America-Jan-2019-Forcing-Data
<p>This is the forcing data for North America that was used as part of PAW-ATM 2024 workshop that is held in conjunction with SC24.</p>
Mapped Industrial Tree Plantations (ITP) in Caraga Region, Mindanao, Philippines for the Year 2019
<p>The Esri Shapefile, in UTM 51 WGS 1984 coordinate reference system, contains polygons of industrial tree plantation species (Falcata, Bagras, Yemane, and Mangium) in the Caraga Region, Mindanao, Philippines. The plantations were mapped through the classification of year 2019 Sentinel-2 satellite images, complemented by high-resolution satellite images available in Google Earth, as well as field surveys conducted between October 1, 2019 to September 30, 2021.</p> <p>Please refer to the Project 1 terminal report (<a href="../records/13735736" target="_blank" rel="noopener">https://zenodo.org/records/13735736</a>) for more details.</p>
Nests of Northern Wheatears Oenanthe oenanthe in Val Piora, Switzerland (2019 to 2022)
<p>Nests and pseudo-absence sites of Northern Wheatears <em>Oenanthe oenanthe</em> in Val Piora, Switzerland (2019 to 2022) with habitat predictors and success</p>
Southern Baltic Eddies from Model Data (2019-2023) with associated scripts in MATLAB
<p>The data regarding the eddies are located in the MATLAB file 'eddies.mat' and are structured into a single variable eddies{day,time}{eddy,1}.params, where day refers to consecutive days of the non-leap year Julian calendar (365 days in the model year), time denotes one of the 4 six-hour averages, and eddy numbers the subsequent eddies. params = {year, month, day, avgNo, is_ended_flag, xs, ys, sizes, omegas, duration}. The figures used in the article were generated using the script 'eddies_statistics.m'. The file 'constants.mat' contains the variables used to produce the figures. The 'calculate_g1.m' function was used to calculate the Gamma_1 function, 'eddy_size.m' for calculating the eddy sizes, 'cluster_points.m' for clustering points, and 'lat_lon_to_x_y.m' for converting geographic longitude and latitude into local x, y coordinates.</p>
Augmented Spaces and Maps, research project 2015–2019
<div> <p>"Augmented Space” (2015-2019) is a research project initiated by Dr. Christine Schranz which brings together both theoretical and and practical parts as a basic introduction to the field of digital cartographies. Complementary to the book publication “Augmented Spaces and Maps. Das Design von kartenbasierten Interfaces”, the AR application offers a historical perspective on the Campus of the Arts (formerly the site of the Basel bonded warehouse) and combines this view with a contemporary critique of the practice of art-related bonded warehouses. The project was carried at the FHNW Academy of Arts and Design in Basel, with the support from the Swiss National Science Foundation (SNSF).</p> <p>Principal Investigator, Book Editor: Dr. Christine Schranz</p> <p>Video Production: Maria Smigielska</p> </div>
Supplementary Table S1. Combined analysis of variance containing the degrees of freedom (DF), mean squares (MS), P value (P val.), mean, coefficient of experimental variation (CEV%) and selective accuracy (SA) for the traits of luminosity (L*), chromaticity a* (a*), chromaticity b* (b*), grain length (length, mm), grain width (width, mm), grain thickness (thickness, mm), mass of 100 grains (Mass, g), normal grains (Ng, %), water absorption (absorption, %), cooking time (Ct, min:s), and concentrations of potassium (K, g kg-1 dry matter - DM), phosphorus (P, g kg-1 DM), calcium (Ca, g kg-1 DM), magnesium (Mg, g kg-1 DM), iron (Fe, mg kg-1 DM), zinc (Zn, mg kg-1 DM), and copper (Cu, mg kg-1 DM) obtained in 25 common bean cultivars evaluated in four experiments carried out from 2019 to 2021
<p><strong><span>Table S1.</span></strong><span> Combined analysis of variance.</span></p> <p><strong><span>Indirect selection for multiple technological and nutritional traits in common bean cultivars under different degrees of multicollinearity</span></strong></p> <p><strong><span>Bragantia, 2024.</span></strong></p>
Plant-Bee Pollen Interaction Networks Based on Epanthidium tigrinum Nests in Fortaleza, Brazil (2019-2020)
<p>This dataset contains detailed ecological data on the interactions between the solitary bee species <em>Epanthidium tigrinum</em> and various flowering plants in an urban area of Fortaleza, Ceará, Brazil. The data were collected from May 2019 to November 2020, focusing on pollen analysis from nests of <em>E. tigrinum</em> using black cardboard trap nests.</p> <p><strong>Data Includes:</strong></p> <ul> <li><strong>LOCALITY</strong>: Geographic location of the study.</li> <li><strong>BEE_SPECIE</strong>: The species of bee studied, exclusively <em>Epanthidium tigrinum</em>.</li> <li><strong>FLOWER_SPECIES</strong>: Identified plant species based on pollen grains found in the nests.</li> <li><strong>INTERACTION_FREQUENCY</strong>: The frequency of interactions between <em>E. tigrinum</em> and flowering plants, quantified through pollen presence across analyzed slides.</li> <li><strong>NESTING_PERIOD</strong>: Classification of the nesting periods into <strong>High Nesting Period</strong> (June to September) and <strong>Low Nesting Period</strong> (remaining months).</li> <li><strong>YEAR</strong>: The years of data collection (2019 and 2020).</li> </ul> <p><strong>Potential Uses:</strong> This dataset is valuable for researchers studying plant-pollinator interactions, urban ecology, and the role of solitary bees in ecosystem services. It can be utilized in ecological modeling, conservation planning, and understanding the dynamics of pollinator communities in urban settings. Additionally, it may aid in the assessment of the impact of urbanization on pollinator behavior and plant diversity.</p>
Dades històriques de les accions de les empreses més actives de Yahoo Finance (2019-2024)
<p>Aquest dataset conté informació històrica sobre les accions de les empreses més actives de <a href="https://finance.yahoo.com/markets/stocks/most-active/">Yahoo Finance</a>. Inclou preus diaris com ara els preus d'obertura, màxim, mínim, tancament i tancament ajustat, així com el volum de negociació de cada empresa. Les dades corresponen als darrers cinc anys i ofereixen una visió històrica del rendiment de les accions i les tendències de les empreses.</p> <p>Els camps que s’inclouen al dataset són els següents:</p> <ul> <li> <p>Date: La data del registre, en format YYYY-MM-DD.</p> </li> <li> <p>Open: El preu d'obertura de l'acció en el dia especificat.</p> </li> <li> <p>High: El preu més alt que l'acció durant el dia.</p> </li> <li> <p>Low: El preu més baix que l'acció durant el dia.</p> </li> <li> <p>Close: El preu de tancament de l'acció al final del dia.</p> </li> <li> <p>Adj Close: El preu de tancament ajustat (tenint en compte dividends i splits).</p> </li> <li> <p>Volume: El volum de transaccions de l’acció. </p> </li> <li> <p>Company: El nom de l'empresa a la qual pertany l'acció.</p> </li> </ul> <p> </p>
Acid blood gases including fetal hemoglobin from newborns, 2019-2023, General University Hospital in Prague
<p>This anonymized data is from the e-health database of the General University Hospital. It has blood gases that include the parameter of fetal hemoglobin percentage.</p> <p>The variables are as follows</p> <p>birthweight - birthweight</p> <p>EGA - gestational age in decimals</p> <p>day_of_life - postnatal day of life when the sample was taken</p> <p>blood_type - source of blood sample (a - arterial, c - capillary, v - venous)</p> <p>nr_of_preceding_trf - the amount of transfusions the patient has received preceding this blood sample</p> <p>hb - hemoglobin (g/l)</p> <p>F-hbf - fetal hemoglobin percentage</p> <p>pco2 - partial pressure of carbon dioxide (kPa)</p> <p>po2 - partial pressure of oxygen (kPa)</p> <p>so2 - oxygen saturation (ratio of oxyhemoglobin to total)</p> <p>pH - pH</p> <p>PO2 - partial pressure of oxygen (mmHg)</p> <p>estPaO2 - estimated partial pressure of oxygen at the given oxygen saturation according to the Severinghaus equation (mmHg)</p> <p>PaO2-extPO2 - difference between actual measured and estimated partial pressure of oxygen at the given oxygen saturation</p> <p>PCO2 - partial pressure of carbon dioxide (mmHg)</p>
On farm field experiments testing TOMRES rootstocks under water stress (Season 2019-2020)
<p>This experiment aims to test EDYPRO biostimulants on farm application. The commercial variety Elpida F1 was either treated with biostimulants or not and cultivated under 2 water/nutritional regimens (standard water/nutrient supply vs 20% irrigation reduction/no nutrient supply).</p>
Multi-parameter thematic maps for VRT (2019)
<p>“Optimization of VRT technology to the resilient tomato lines”, during year 2019 an additional set of field surveys has been conducted by Casella using the MECS-CROP sensors made available to the TOMRES project, in order to describe and map spatial variability of field-grown tomato. All collected data have been statistically processed, analyzed and interpreted in order to assess the potential in increasing tomato stress resilience, production and quality by means of the tested smart farming techniques (variable rate fertilization, irrigation and spraying).</p>
A dataset for tracking the activity and abundance of Bogong moths at Mt Kosciuszko, NSW in the austral summer of 2019-2020
<p>This dataset contains images captured using wildlife cameras outside Bogong moth aestivation caves on Mt Kosciuszko, 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>
Dissolved organic matter degradation in the freshwater portion of the St. Lawrence River (2019)
<p>During the summer of 2019, we sampled a 207 km transect of the St. Lawrence, a large temperate river in which flows two strikingly distinct water masses in terms of origin as well as chemical and physical properties. We then assessed dissolved organic matter bio- and photo-reactivity at 40 sites along the river through a series of standardized incubations and exposure to simulated sunlight, and then used water irradiance and morphometric profiles to estimate in situ areal rates of processing across the river. The main variables presented are DOC concentrations and DOM composition data generated by a PARAFAC model. In addition, this dataset also includes results for a suite of standard physical and chemical variables as well as light attenuation profiles obtained with a profiling radiometer.</p>
Looking in the medicine cabinet: methods for using real-world data to assess the impact of measles, mumps and rubella (MMR) and recombinant adjuvanted varicella-zoster vaccines on coronavirus disease 2019 (COVID-19) prevention and case fatality
<p>Supplementary File S1. 20210712_vx_off_target_pubdraft_S1 (Tables, Graphs and scripts associated with publication)</p> <p>Data file 1. Basic_Analysis.R (descriptive analysis script in R, for use with cleaned data files 3, 4 and 6)<br> Data file 2. Cleaning (Script demonstrating how Cerner data was cleaned upon download)<br> Data file 3. COVID_all_cleaned (CSV file with all COVID+ subjects in Cerner institutions)<br> Data file 4. COVID_mmr_data_cleaned (CSV file with COVID+ patients between 25-64 years old, including institution id, age category, gender, whether patient is in emergency department or inpatient, flu vaccine history, MMR vaccine history and mortality outcomes)<br> Data file 5. COVID_mmr_data_matched (CSV file matching MMR vaccine-exposed cases to controls based on propensity scores)<br> Data file 6. COVID_zoster_data_cleaned (CSV file with COVID+ patients above 50 years old, including institution id, age category, gender, whether patient is in emergency department or inpatient, flu vaccine history, zoster vaccine history and mortality outcomes)<br> Data file 7. COVID_zoster_data_matched (CSV file matching zoster vaccine-exposed cases to controls based on propensity scores)<br> Data file 8. General_25_64_data_cleaned (CSV file, all patients in Cerner institutions between 25 – 64 years old, including institution id, age category, gender, whether patient is in emergency department or inpatient, flu vaccine history, MMR vaccine history, SARS-CoV-2 infection and COVID-19 mortality outcomes ).<br> Data file 9. General_over50_data_cleaned (CSV file, all patients in Cerner institutions above 50 years old, including institution id, age category, gender, whether patient is in emergency department or inpatient, flu vaccine history, zoster vaccine history, SARS-CoV-2 infection and COVID-19 mortality outcomes).<br> Data file 10. Included_tenants (CSV file, institution IDs whose contributed cases comprise at least 0.5% of the aggregate sample size).<br> Data file 11. MMR_ps (R script to run for MMR-related files analysis)<br> Data file 12. Zoster_ps (R script to run for zoster-related files analysis)</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.