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4,182 results for “universities”

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zenodo40/100

Ponderosa Pine smoldering study at Oregon State University

<p>Images and other supplemental data for project used to identify the significance of moisture content, inorganic content, organic bulk density, and fuel thickness in influencing horizontal spread rate and surface temperatures within&nbsp;smoldering ponderosa pine (Pinus ponderosa) duff.</p> <p>These images and data were used for the publication, effects of fuel characteristics on spread rate and surface temperatures of smoldering duff</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

Coulomb blockade thermometry beyond the universal regime

<p>Raw datasets, figure data and source code for the paper &quot;Coulomb blockade thermometry beyond the universal regime&quot;. See comments in the source code for usage instructions, and FILE_DESCRIPTION.txt for each figure dataset for data description.</p>

opencc-by-4.0Aug 2020View details →
zenodo40/100

Role of residential air circulation and cooling for universal household electrification

<p>This repository contains the data to replicate the analysis of the paper &#39;Role of residential air circulation and cooling for universal household electrification&#39; by Giacomo Falchetta.&nbsp;</p> <p>Replication code and instruction are hosted at&nbsp;<a href="https://github.com/giacfalk/cooling_electrification">https://github.com/giacfalk/cooling_electrification</a></p> <p>To replicate the analysis:</p> <ol> <li>Clone the Github repository on your machine</li> <li>Download the Zenodo archive and extract it in the home folder of the cloned Github repository</li> <li>Ensure Python (Anaconda 3) and R 3.5.1+ are installed on your local machine</li> <li>Run the &#39;wrapper.R&#39; file.</li> </ol> <p>&nbsp;</p>

opencc-by-4.0Aug 2020View details →
zenodo40/100

Silene seeds from the Laboratory of Plant Ecology and Adaptation, University of Lodz (Poland)

<p>Seeds of <em>Silene </em>for the analysis of morphology (Mart&iacute;n G&oacute;mez et al.) obtained from the Laboratory of Plant Ecology and Adaptation, University of Lodz (Poland)Photos contains 40 seeds of:</p> <p><em>S. dioica</em>; <em>S. latifolia</em>; <em>S. latifolia</em> ssp. <em>alba </em>(x2); &nbsp;<em>S. mellifera</em>; <em>S. nutans </em>ssp.<em> dubia;&nbsp; S. uniflora.</em></p>

opencc-by-4.0Sep 2020View details →
zenodo40/100

Conclusions of the online assessment debate held on July 2, 2020, at the University of Salamanca (Spain)

<p>Conclusions of the online assessment debate held on July 2, 2020, at the University of Salamanca (Spain)</p>

opencc-by-4.0Oct 2020View details →
zenodo40/100

Data set for paper Predicting time to graduation at a large enrollmentAmerican university

<p>A longitudinal data set of student grades, demographics, course participation, etc. for attending a large American university.</p>

opencc-by-4.0Oct 2020View details →
zenodo40/100

SugarPy facilitates the universal, discovery-driven analysis of intact glycopeptides

<p>Protein glycosylation is a complex post-translational modification with crucial cellular functions in all domains of life. Currently, large-scale glycoproteomics approaches rely on glycan database dependent algorithms and are thus unsuitable for discovery-driven analyses of glycoproteomes. Therefore, we devised SugarPy, a glycan database independent Python module, and validated it on the glycoproteome of human breast milk. We further demonstrated its applicability by analyzing glycoproteomes with uncommon glycans stemming from the green algae <em>Chlamydomonas reinhardtii </em>and the archaeon <em>Haloferax volcanii</em>. SugarPy also facilitated the novel characterization of glycoproteins from the red alga <em>Cyanidioschyzon merolae</em>.</p> <p>Provided here are, for each species:</p> <ul> <li>input files (mzML)</li> <li>SugarPy result files</li> </ul> <p>In addition, for <em>Homo sapiens</em> and <em>Chlamydomonas reinhardtii</em>, the following is included:</p> <ul> <li>SugarQb result files</li> <li>pGlyco result files</li> <li>MSFragger-Glyco result files</li> </ul> <p>Furthermore, a SugarPy example_data folder is provided that can be used with the SugarPy example scripts.</p> <p>The source code for SugarPy can be found on GitHub: https://github.com/SugarPy/SugarPy</p>

opencc-by-4.0Oct 2020View details →
zenodo40/100

Poster for the Physics Divisional Library of the Göttingen State and University Library

<p>This poster has been created to celebrate the Physics Divisional Library of the G&ouml;ttingen State and University Library.<br> https://www.sub.uni-goettingen.de/en/locations-facilities/locations-and-opening-hours/physics-divisional-library/</p>

opencc-by-4.0Oct 2020View details →
zenodo40/100

University of Nebraska-Lincoln Mobile Mesonet files from LAPSE-RATE

<p>This dataset includes files from the University of Nebraska-Lincoln mobile mesonets operated during the LAPSE-RATE field campaign.&nbsp;</p>

opencc-by-4.0Mar 2020View details →
zenodo40/100

Closure of the 9th European Summer University in Digital Humanities "Culture & Technology"

<p>Closure of the 9th European Summer University in Digital Humanities &quot;Culture &amp; Technology&quot;</p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

Opening of the 9th European Summer University in Digital Humanities "Culture & Technology"

<p>Opening of the 9th European Summer University in Digital Humanities &quot;Culture &amp; Technology&quot;</p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

The Relationship between Vitamin D Status, Intake and Exercise Performance in UK University-level Athletes and Healthy Inactive Controls

<p>The potential ergogenic effects of vitamin D (vitD) in high performing athletes has received considerable attention in the literature and media. However, little is known about non-supplemented university athletes and students residing at a higher latitude. This study aimed to investigate the effects of vitD (biochemical status and dietary intake) on exercise performance in UK university athletes and sedentary students. Physically healthy male and female university students and athletes from the University of Surrey (51.2&ordm;N) were recruited between January and March (2018) to take part in this study. A total of 50 participants (n= 24 males, n= 26 females) were included, 34 (n=18 male, n=16 female) were university athletes competing in a variety of sports.&nbsp;</p> <p>Fasted serum vitD status and sunlight exposure were assessed using LC-MS/MS and dosimetry, respectively. Body composition was measured through the use of a dual-energy x-ray absorptiometry (DEXA) whole body scan (Hologic QDR, Hologic inc. USA). Muscular strength of the upper and lower body was assessed using dominant arm handgrip and knee extensor dynamometry (KE) of the non-dominant leg.&nbsp; Countermovement jump (CMJ) and aerobic fitness were measured using an Optojump and VO<sub>2max</sub> test using a stationery cycle ergometer, respectively.</p>

opencc-by-4.0Feb 2021View details →
zenodo40/100

Epidemiology, risk factors and clinical course of SARS-CoV-2 infected patients in a Swiss university hospital: an observational retrospective study

<p>This is the dataset of the study called &quot;Epidemiology, risk factors and clinical course of SARS-CoV-2 infected patients in a Swiss university hospital: an observational retrospective study&quot;.&nbsp;<br> <br> <strong>Abstract:&nbsp;</strong></p> <p>Background<br> Coronavirus disease 2019 (COVID-19) is now a global pandemic with Europe and the USA at its epicenter. Little is known about risk factors for progression to severe disease in Europe. This study aims to describe the epidemiology of COVID-19 patients in a Swiss university hospital.</p> <p>Methods<br> This retrospective observational study included all adult patients hospitalized with a laboratory confirmed SARS-CoV-2 infection from March 1 to March 25, 2020. We extracted data from electronic health records. The primary outcome was the need to mechanical ventilation at day 14.&nbsp; We used multivariate logistic regression to identify risk factors for mechanical ventilation. Follow-up was of at least 14 days.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br> <br> Results<br> 200 patients were included, of whom 37 (18&middot;5%) needed mechanical ventilation at 14 days. The median time from symptoms onset to mechanical ventilation was 9&middot;5 days (IQR 7.00, 12.75). Multivariable regression showed increased odds of mechanical ventilation in males (3.26, 1.21-9.8; p=0.025), in patients who presented with a qSOFA score &ge;2 (6.02, 2.09-18.82; p=0.001), with bilateral infiltrate (5.75, 1.91-21.06; p=0.004) or with a CRP of 40 mg/l or greater (4.73, 1.51-18.58; p=0.013).&nbsp;&nbsp;&nbsp;&nbsp;<br> <br> Conclusions<br> This study gives some insight in the epidemiology and clinical course of patients admitted in a European tertiary hospital with SARS-CoV-2 infection. Male sex, high qSOFA score, CRP of 40 mg/l or greater and a bilateral radiological infiltrate could help clinicians identify patients at high risk for mechanical ventilation.</p>

opencc-by-4.0May 2020View details →
zenodo40/100

Universal safety distance alert device for road vehicles - Testing videos

<p>Testing the Universal safety distance alert device for road traffic in simulated and in real traffic.</p>

opencc-by-4.0Apr 2016View details →
zenodo40/100

Exit poll survey data from users of Helsinki University Library

<p>Survey data from exit poll user surveys at five Helsinki University Library locations collected from 2015 to 2016. Patrons coming out the library premises were asked about their user category (student at the University of Helsinki, researcher or lecturer, student at another institution, other library user) and the reason for their library visit. Also the duration of the visit was noted and wether they needed help during their stay at the library. The file contains 3084 rows of tabular data in CSV format. The language is Finnish.</p>

opencc-by-4.0Nov 2016View details →
zenodo40/100

Figure 3. from: Visual Parkinson's Disease Rating Scale: A Universal Iconic Questionnaire for Epidemiological Studies in India - Research Ideas and Outcomes 2: e8834 (03 May 2016) https://doi.org/10.3897/rio.2.e8834

Figure 3. - TimelineThis Gantt chart provides an estimate of the relative timing and duration for achieving each of the Aims.

opencc-by-4.0Feb 2017View details →
zenodo40/100

Figure 1. from: Visual Parkinson's Disease Rating Scale: A Universal Iconic Questionnaire for Epidemiological Studies in India - Research Ideas and Outcomes 2: e8834 (03 May 2016) https://doi.org/10.3897/rio.2.e8834

Figure 1. - First pass at a VPDRS static graphicFigure 1 corresponds to the first self-administered MDS-UPDRS question:1.7 SLEEP PROBLEMS.Over the past week, have you had trouble going to sleep at night or staying asleep through the night? Consider how rested you felt after waking up in the morning.0: Normal: No problems.1: Slight: Sleep problems are present but usually do not cause trouble getting a full night of sleep.2: Mild: Sleep problems usually cause some difficulties getting a full night of sleep.3: Moderate: Sleep problems cause a lot of difficulties getting a full night of sleep, but I still usually sleep for more than half the night.4: Severe: I usually do not sleep for most of the night."

opencc-by-4.0Feb 2017View details →
zenodo40/100

Figure 2. from: Visual Parkinson's Disease Rating Scale: A Universal Iconic Questionnaire for Epidemiological Studies in India - Research Ideas and Outcomes 2: e8834 (03 May 2016) https://doi.org/10.3897/rio.2.e8834

Figure 2. - Prototype for the mobile phone appThis screen shows a pre-release version of Node, which will support the VPDRS/UPDRS modules. Here we present a means by which a person administering a questionnaire can securely log into and manipulate patient information locally and through cloud services and lastly an example clinician-administered UPDRS question.

opencc-by-4.0Feb 2017View details →
zenodo40/100

Photonics4All - Children's Universities

<p>This video shows a presentation held by Pearl John (University of Southampton, UK) at the European Optical Society (EOS) Annual Meeting (EOSAM) in Berlin 2016 about the organisation of Children's Universities within the framework of the Project Photonics4All.</p>

opencc-by-4.0Jan 2017View details →
zenodo40/100

Cropped News Article from University of Potsdam News Site

<p>This data was cropped from the <a href="https://www.uni-potsdam.de/de/nachrichten">University of Potsdam news website</a>. The annotated labels are made by the writers of the articles.</p>

opencc-by-sa-4.0Nov 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.