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12,237 results for “2019”

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zenodo36/100

Cyclists survey, Salzburg, May 2019

<p>Results of an online survey in May 2019 with 125 participants in Salzburg on what would motivate them to cycle more often. Results have been reported in Stabauer P., Hornung-Pr&auml;hauser V. &amp; Schrempf B. (2019): Behavioral intervention design for scaling innovative services promoting smart sustainability. Paper presented at the 2019 ISPIM Innovation Conference, Florence, Italy, 16-19 June 2019.</p>

opencc-by-4.0Jun 2019View details →
zenodo36/100

Cyclists survey, Uppsala, September 2019

<p>Results of an online survey in September 2019 with 216 participants in Uppsala, Sweden, on what would motivate them to cycle more often.</p>

opencc-by-4.0Oct 2019View details →
zenodo36/100

Table 1: Publications found in the Scopus and Web of Science database from 2000 to 2019 (excluding duplicate articles) on the topic of biorefineries.

<p>Table referring to the study of systematic literature review on the social impact of small and medium-sized biorefineries.</p>

opencc-by-4.0Jul 2021View details →
zenodo36/100

Groundwater and surface water quantity and quality measurement results for groundwater dependent ecosystem in Kazu leja, Latvia in 2019 and 2020

<p>Groundwater and surface water quantity and quality measurement results and methodology of the investigations of the groundwater dependant ecosystem in Kazu leja, Latvia in 2019 and 2020 is presented. The data comprises:</p> <ol> <li>Methodology</li> <li>Measurement site data [2_observation_sites.csv]</li> <li>Field and laboratory measurement results [3_field_and_lab_results.csv]</li> <li>Measurement uncertainty [4_measurement_uncertainity.csv]</li> <li>Automated water level, temperature, and electrical conductivity measurements [5_level_temperature_electricConductivity_loggers.csv]</li> </ol>

opencc-by-4.0Jul 2021View details →
zenodo36/100

monthly time series in Qaidam basin from 2002 to 2019

<p>The time series of monthly precipitation in Qaidam basin is converted by&nbsp;monthly observations of five groud meteorological stations from 2002 to 2019. The origional observation data of five ground meteorological stations is downloaded from the website (http://data.cma.cn/en) with the permission.&nbsp;&nbsp;</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Data for the research article: "Detecting Seismo-ionospheric Anomalies Possibly Associated with the 2019 Ridgecrest (California) Earthquakes by GNSS, CSES and Swarm Observations"

<p>The zip archives contain 10 .mat files (MATLAB readable). Each .mat file can be loaded into the MATLAB workspace using the&nbsp;<em>load</em>&nbsp;command.</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Extracted Ethereum transactions for July 2019 from the Ethereum in BigQuery public dataset

<p>Extracted Ethereum transactions for July 2019 from the Ethereum in BigQuery public dataset.</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Animation of Sentinel-3 aerosol optical depth over Europe in 2019.

<p>Animation of Sentinel-3 aerosol optical depth over Europe in 2019. 14 day averages. Left: Sentinel-3 Synergy land product. Middle: Machine learning based retrieval. Right: POPCORN post-process corrected aerosol optical depth.</p>

opencc-by-4.0Aug 2021View details →
dryad36/100

Research funding for male reproductive health and infertility in the UK and USA [2016 – 2019]

<p>There is a paucity of data on research funding levels for male reproductive health (MRH). We investigated the research funding for MRH and infertility by examining publicly accessible webdatabases from the UK and USA government funding agencies. Information on the funding was collected from the UKRI-GTR, the NIHR's Open Data Summary, and the USA's NIH RePORT webdatabases. Funded projects between January 2016 and December 2019 were recorded and funding support was divided into three research categories: (i) male-based; (ii) female-based; and (iii) not-specified. Between January 2016 and December 2019, UK agencies awarded a total of £11,767,190 to 18 projects for male-based research and £29,850,945 to 40 projects for female-based research. There was no statistically significant difference in the median funding grant awarded within the male-based and female-based categories (p=0.56, W=392). The USA NIH funded 76 projects totalling $59,257,746 for male-based research and 99 projects totalling $83,272,898 for female-based research Again, there was no statistically significant difference in the median funding grant awarded between the two research categories (p=0.83, W=3834). This is the first study examining funding granted by main government research agencies from the UK and USA for MRH. These results should stimulate further discussion of the challenges of tackling male infertility and reproductive health disorders and formulating appropriate investment strategies.</p>

opencc-zeroAug 2021View details →
zenodo36/100

Fig. 1 in Abstracts of the Immature Beetles Meeting 2019 October 3-4, Prague, Czech Republic

Fig. 1. Most participants of the Immature Beetles Meeting 2019 during the

opencc-by-4.0Nov 2019View details →
zenodo36/100

Figures 1–2 in Validation of Chrysina valentini Zubov and Ivshin, 2019 (Coleoptera: Scarabaeidae: Rutelinae) by morphometric and cuticular reflectance analyses

Figures 1–2. Chrysina spp. male genital capsule

opencc-by-4.0Nov 2020View details →
zenodo36/100

Authorship Attribution - Twitter - 2019

<p>Dataset of tweets used for the research of authorship attribution of small messages. It was used in the work&nbsp;&nbsp;<a href="https://ieeexplore.ieee.org/document/8683747"><em>A Needle in a Haystack? Harnessing Onomatopoeia and User-specific Stylometrics for Authorship Attribution of Micro-messages</em></a>&nbsp;published at&nbsp;<a href="https://2019.ieeeicassp.org/"><em>2019 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP</em></a></p> <p>&nbsp;</p> <p>Format:</p> <p>A single file with one tweet ID per line. Total of 130,141,590 tweet IDs from more than 55,000 Twitter users.</p> <p>The tweets can be recovered from Twitter (hydrated) using the Twitter API or the code at&nbsp;<a href="https://github.com/theocjr/twitter-reader">twitter-reader</a>.</p>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Earthquake records and ambient noise cross correlations from ENAP Magallanes seismographs, Jan 2019- Mar 2020

<p>This archive contains selected data and data products from 8 seismic monitoring stations operated by Empresa Nacional del Petroleo, Magallanes (ENAP). The data are selected earthquake records from January 2019 through March 2020, and the data products are time-frequency phase-weighted stacks of ambient noise cross correlations between ENAP stations and nearby permanent and temporary seismographs for the period from January 2019 through March 2020. These data and data products can be used, along with other seismic data available from the IRIS DMC (including some data that is embargoed as of the time of writing), to reproduce the authors&#39; model for Vsv in Patagonia.</p>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Heliconius erato cyrbia, Cook Islands (New Zealand) 2016, 2019, 2021

<p>EN:</p> <p>This upload contains photographs taken by Amin Ghane and Gabriela Montejo-Kovacevich in the Butterfly Genetics Group at the University of Cambridge from the June/July/August (CAM045001-CAM045330)&nbsp;in three batches, indicated in the csv table.&nbsp;These two batches might have slightly different zoom/light settings.</p> <p>This batch contains Quentin Paynter and&nbsp;Gabriela Montejo-Kovacevich specimen collection from the Cook Islands, wild Heliconius erato cyrbia.<br> <br> They&nbsp;have&nbsp;a colour standard for calibration. Information on the individual IDs can additionally be found in the csv.</p> <p>Nomenclature</p> <p>CAMXXXXXX : unit ID corresponding to individual samples<br> _v _d: ventral or dorsal<br> &nbsp;</p> <p>Information on individual samples from the Butterfly Genetics Group Collection can be found on the public database Earthcape (click&nbsp;<a href="https://heliconius.ecdb.io/#ViewID=ContentPage_DetailView&amp;ObjectKey=843e8ec1-41a6-4706-9622-f643132da859&amp;ObjectClassName=EarthCape.Module.Core.ContentPage&amp;mode=View">here</a>&nbsp;for the database, and&nbsp;<a href="http://heliconius.zoo.cam.ac.uk/databases/earthcape-specimen-database/">here</a>&nbsp;for FAQ)</p> <p>Please contact Chris Jiggins (c.jiggins[at]zoo.cam.ac.uk) for requests.</p> <p>&nbsp;</p> <p>------------------------------------------------------</p> <p>ES:</p> <p>Este repositorio contiene fotograf&iacute;as tomadas en el Butterfly Genetics Group de la Universidad de Cambridge</p> <p>Este lote contiene la colecci&oacute;n de espec&iacute;menes silvestres de las Islas Cook (Nueva Zelanda) colectadas por Quentin Paynter. Las fotograf&iacute;as se tomaron en tres grupos, con zoom y condiciones lum&iacute;nicas algo distintas.</p> <p>Nomenclatura</p> <p>CAMXXXXXX: ID de unidad correspondiente a muestras individuales<br> _v _d: ventral o dorsal<br> &nbsp;</p> <p>Puede encontrar informaci&oacute;n sobre muestras individuales de Butterfly Genetics Group Collection en la base de datos p&uacute;blica Earthcape (haga clic&nbsp;<a href="https://heliconius.ecdb.io/#ViewID=ContentPage_DetailView&amp;ObjectKey=843e8ec1-41a6-4706-9622-f643132da859&amp;ObjectClassName=EarthCape.Module.Core.ContentPage&amp;mode=View">aqu&iacute;</a>&nbsp;para la base de datos, y&nbsp;<a href="http://heliconius.zoo.cam.ac.uk/databases/earthcape-specimen-database/">aqu&iacute;</a>&nbsp;para preguntas frecuentes)</p> <p>Por favor, p&oacute;ngase en contacto con Chris Jiggins (c.jiggins [arroba] zoo.cam.ac.uk) con sus preguntas o peticiones.</p>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Dataset of impacts of weather and climate services on farming in Burkina Faso 2019 and 2020

<p>The dataset contains the results of two surveys realized in 2019 and 2020 in the Municipality of Tenado, Burkina Faso. The surveys were conducted in October 2019 and in November 2020 using structured questionnaires translated and administered in the local language by trained enumerators. Moreover, yield plots were placed in farmers&rsquo; fields and yield was measured on site. The sample at the Tenado site consisted for each survey in approximately 300 farmers (150 treated and 150 control) in 12 villages for each year. The treatment is the&nbsp;training in the use of Weather and Climate Services in agriculture. The control group is random and represents the entire population. The treatment group is also random, from the participants in training. Observed variables are:&nbsp;</p> <p>N. seedings</p> <p>Quantity of seeds (kg/ha)</p> <p>N. fertilizations</p> <p>Quantity fertilizers (kg/ha)</p> <p>Working days</p> <p>Yield (kg/ha)</p> <p>Costs (FCFA/ha)</p> <ul> <li>Seeds cost (FCFA/ha)</li> </ul> <ul> <li>Fertilizers cost (FCFA/ha)</li> </ul> <ul> <li>Labor cost (FCFA/ha)</li> </ul> <p>Income (FCFA/ha)</p> <p>Gross benefit (FCFA/ha)</p> <p>The market price of sorghum and the cost of seeds, fertilizer and labor were considered stable over the 2 years and in particular the sorghum price was 200 FCFA per kg, while the costs were 350 FCFA for 1 kg of seeds, and 450 FCFA for 1 kg of fertilizer. Labor cost is accounted as the opportunity costs of working time considering that 1,500 FCFA is the daily wage in agriculture. Income was computed multiplying yield by the price of sorghum and the gross benefit is the income minus the costs.</p>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Roach et al. (2019) coupled wave-ice model output (hourly coupling version): Beaufort Sea 2012-2019

<p>Wavewatch III model output from Roach et al. (2019) coupled wave-ice model with hourly coupling from the central Beaufort Sea, spanning 2012-2019.</p> <p>See manuscript below for further details:</p> <p>Roach, L., C. Bitz, C. Horvat, and S. Dean (2019), Advances in modelling interactions between sea ice and ocean surface waves. Journal of Advances in Modeling Earth Systems</p>

opencc-by-4.0Oct 2021View details →
zenodo36/100

2019 SCOPE Gradients, Water Column Data

<p>This dataset is from the Gradients 3 cruise (KM1906) conducted April 10- April 29, 2019 in the North Pacific Ocean.&nbsp;CTD/rosette profiles were taken down to 1000 meters and samples were collected from niskin bottles attached to the CTD and used to generate concentrations of oxygen, inorganic nutrients, and pigment concentrations.&nbsp;Temperature and salinity were derived from CTD sensors.&nbsp;Details on methods used are available at&nbsp;https://hahana.soest.hawaii.edu/hot/methods/chl.html.&nbsp;The Gradients 3 cruise is a component of the SCOPE-Gradients program (http://scope.soest.hawaii.edu/data/gradients/gradients.html) and was designed to test conceptual and mathematical models of biogeochemical organization across transition zones between different ecosystems.</p>

opencc-by-4.0Oct 2021View details →
zenodo36/100

Svalbox-DOM_2019-0002_Agardhbukta-beach

<p><strong>Model description: </strong><br> Model of the beach cliff outcrop at Agardhbukta. The model gives an overview of the De Geerdalen, Flatsalen, and Svensk&oslash;ya formations. Further reading in Olaussen et al. (2017).<br> <br> <strong>Data availability:</strong><br> All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.1.11797).<br> Exported model data use CRS epsg:32633.<br> <br> <strong>Show and visualise on <a href="http://svalbox.no/?page_id=3554">Svalbox.no</a>:</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level &ndash; with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.</p>

opencc-by-nc-4.0Oct 2021View details →
dryad36/100

Supplemental material for: Increased large vessel occlusive strokes following the Christchurch 2019 March 15 terror attack

<div class="WordSection1"> <p><b>Background:</b> The impact of sudden catastrophic events such as terror attacks on stroke is unclear. We investigated the association between the 2019 March 15 Christchurch terror attack and ischaemic stroke admissions and reperfusion therapies.</p> <p><b>Methods:</b> We used a Bayesian Poisson model to estimate the effect of the terror attack on ischaemic stroke admissions, the numbers of intracranial large vessel occlusion (LVO) and reperfusion therapy, in the week after the attack compared with weekly data from 1st January 2018 until 21st April 2019. These analyses were repeated for the rest of New Zealand with Christchurch data omitted. The probability of the rate observed in the week following the terror attack being higher than the background rate was calculated for each measure, with a probability higher than 99.5% providing strong evidence of an effect.</p> <p><b>Results:</b> In the week starting on Monday, three days after the terror attack, there was an increase in the number of patients with intracranial LVOs (10, background mean rate=2.4, probability P&gt;99.9%) and those receiving reperfusion therapy (9, mean rate=2.6, P=99.9%), compared with the baseline rates. There was no difference in the total number of ischemic stroke admissions (26, mean rate=27). There was no strong evidence of a change in the numbers of reperfusion therapies or ischaemic stroke admissions in the rest of New Zealand.</p> <p><b>Conclusion: </b>Sudden catastrophic events such as terror attacks may increase the numbers of patients developing intracranial LVO requiring stroke reperfusion therapies within the affected community.</p> </div>

opencc-zeroOct 2021View details →
zenodo36/100

KilometricGrid_BiodiveristyIndicator_France-Gers-E-part_2019

<p>The NIVA UC1b has developed a set of tools to compute agro-environmental indicators about carbon storage, nitrate leaching and biodiversity.</p> <p>Tier1 Indicators are basic indicators using only public data, such as Sentinel images, agricultural parcel from the information systems of Paying Agencies (IACS) or topographic data.</p> <p>This dataset relates to UC1B tool that&nbsp;provides biodiversity indicator the cells on a kilometric grid, based on landscape I characteristics (parcel size, quantity of semi-natural elements, diversity and richness of crops)</p>

opencc-by-4.0Oct 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

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