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4,182 results for “universities”
Flower–visitor specimens preserved in the Kyoto University Museum
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Data from: The first set of universal nuclear protein-coding loci markers for avian phylogenetic and population genetic studies
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Data from: Major histocompatibility complex class I evolution in songbirds: universal primers, rapid evolution and base compositional shifts in exon 3
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Data from: Between geometry and biology: the problem of universality of the species-area relationship
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Data from: Validity, applicability and universality of fractal scaling laws for natural lakes
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Social network matrices data from sociology university classrooms
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LeWoS: A universal leaf‐wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR
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Data from: Genome-wide analyses suggest parallel selection for universal traits may eclipse local environmental selection in a highly mobile carnivore
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Canadian university syllabuses with academic and non-academic assigned readings identified.
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Data on universities offering undergraduate degrees that train students for soil science careers at universities in the USA and its territories
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Data from: Exploring the universal ecological responses to climate change in a univoltine butterfly
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Data from: Quaternary land bridges have not been universal conduits of gene flow
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Data from: A universal probe set for targeted sequencing of 353 nuclear genes from any flowering plant designed using k-medoids clustering
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Michigan State University, Landscape Position project, 2003
This database is from a field study conducted by Sherry Martin, a MS students in the Dept of Fisheries and Wildlife at Michigan State University, and P.A. Soranno. 71 stratified (max depth > 3 m and area > 0.2 km2) lakes were sampled one time in summer 2003 from mid-july to august across 3 HUC8 watersheds in Michigan’s lower peninsula: Muskegon, Au Sable, and Thunder Bay. Within each HUC8, 3-5 lakes were randomly chosen that were along a landscape position gradient using the ‘lake hydrology’ classification.. Details on the analysis are provided in Martin and Soranno 2006.
Michigan State University, Sonar project, 1998-2000
This database is from a short-term research study designed to assess the effect of application of low doses of the herbicide fluridone (Sonar®) on Eurasian watermilfoil (EWM), other plant species, and water quality in lakes in 7 lakes in southern Michigan. Low doses of fluridone are expected to only impact EWM and not the rest of the plant community. Three of the lakes had no herbicide treatment done on them (Big Seven, Clear and Heron), three of the lakes had treatment done on them such that EWM decreased in the lake during treatment years (Big Crooked, Camp, and Lobdell); and one lake had treatment that was unsuccessful in changing the plant community (Wolverine). Treatment was done in 1998 during the first year of water chemistry sampling. The plant community did not change drastically, and so treatment did not affect water quality (Bremigan et al. 2005). The responses of aquatic invertebrates (Cheruvelil et al 2000, Cheruvelil et al. 2002) and fish (Valley and Bremigan 2002a,b) were also assessed.
University of Rhode Island Watershed Watch (URIWW), RI: water quality monitoring, 1988-2010
The URI Watershed Watch (URIWW) is a volunteer water quality monitoring program that works with local communities to assess water quality. Led by trained scientists, URI Watershed Watch helps local governments, watershed, tribal and other organizations recruit and train volunteers to become citizen scientists gathering detailed, quality assured monitoring data. This watershed-based program focuses on long-term environmental monitoring of RI's fresh and salt water resources including lakes, ponds, streams and coastal waters. URIWW staff provides training, equipment, supplies and analytical services tailored to organizational needs, while meeting strict quality assurance and quality control guidelines in the field and in our state-certified water testing laboratory. Sites included for LAGOS purposes are classified as Lakes by URIWW program. Tidally-influenced or salt pond sites were excluded. A single site was selected for the handful of lakes/reservoirs with 2 sampling site records, and a limited number of other lakes were excluded if they were sampled in only 1 year and for a subset of variables. Otherwise, all sites classified as lakes by URIWW are included in the LAGOS-relevant files.
Weather Data, 1940-2016, Adirondack Long-Term Ecological Monitoring Program by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York, USA
These datasets include information collected from 1940 to 2016 in or around Huntington Wildlife Forest at the Adirondack Ecological Center in Newcomb, New York. Data were collected daily and include minimum and maximum daily temperature, precipitation, snowfall, and sometimes additional measurements (e.g., wind direction, weather events). These data were collected as part of the Adirondack Long Term Ecological Monitoring Program (ALTEMP).
Ohio Miami University reservoir water chemistry and foodweb data 1992-2010
This research examines how landscapes (watersheds) and food webs interact to regulate ecosystems, focusing on reservoirs of the Midwest USA. This research is collaborative with two other Miami faculty, María González and Bill Renwick, and many students. We are examining how watersheds and omnivorous fish influence lakes along a gradient of watershed land use, ranging from mostly forested watersheds to those that are nearly entirely agricultural. Data provided by Mike/Maria include dissolved nutrients, suspended sediments, DOC, temperature/oxygen profiles, and water clarity from 1992-2010 with frequency and duration of sampling varying among reservoirs. sampling was typically conducted at two sites: (a) a shallow ‘inflow’ cite at the upstream area of a reservoir where the inflowing lotic system is transitioning to a more lentic one, and a deeper ‘outflow’ site just upstream of the dam. Most samples for water chemistry analysis were collected with integrated samplers from the euphotic zone or epilimnion (which usually are the same for these lakes - Vanni comment). For most of our sampling (all the Acton sampling and other sampling done by MU), we measured the depth of the eophotic zone using a light meter (z_eup = depth where light = 1% of surface light). When the ODW collected samples, they did not have a light meter so we used the epilimnopn, which we defined as any depth where oxygen was > 2 mg/L. As I mentioned, because our lakes are pretty productive, oxygen concentrations are usually driven by phytoplankton production so the eiphotic and epilimnetic depths are the same. For some things, we take replicate integrated samples, and we run duplicates on both of those, for a total of 4 values. For example, for chlorophyll we take two samples (two bottles) and run duplicates on both and we label the samples 1a,1b,2a,2b. ….the data we sent you are always means of those values….’.
The results of model learning on base an annotated text, compiled on the basis of the English-language news feed of the Yuri Gagarin State Technical University of Saratov
<p>The results of model learning on base an annotated text, compiled from the English-language news feed of the Yuri Gagarin State Technical University of Saratov.</p> <p>This file can be used in conjunction with Data for Model Learning on base OPENNLP DOI 10.5281/zenodo.3550016</p> <p> </p> <p> </p>
Data for article: Normative drift and self-correction and self-regulation in scholarly publishing: The case of scholarly books published by academics at Makerere University
<p>University academics face multiple pressures to publish. These pressures emanate from contexts with different, often competing, social norms which result in academics publishing for reasons that may run counter to accepted scientific practice. This paper asks what decisions are being taken by academics when it comes to their choice of scholarly book publisher. An analysis of books selected from more than 2,500 self-reported scholarly publications produced by academics at Makerere University in Uganda from 2011 to 2017, reveals that 31 scholarly books were published. Of these books, more than half (54%) were published by publishers that do not follow accepted scholarly publishing practice. Findings also show that there was a sharp decline in books published with suspect publishers in the second half of the seven-year period. The article discusses possible reasons for the selection of suspect publishers and considers four factors that may account for the observable decline: (1) a cyclical downturn; (2) improved research management and reporting; (3) explication of the norms of science; and (4) self-correction.</p> <p><strong>METHODS</strong></p> <p>The specific interest of this study is the publication of scholarly books by academics at Makerere University. </p> <p>The sources of the publications data were the lists of research outputs published in Makerere University’s annual reports from 2011 to 2017. Digital copies of the annual reports in PDF format were downloaded from the university’s website. Data were scraped from the annual report PDFs by exporting the publication lists from the PDFs to MSWord, removing unnecessary line breaks and spacing to create a single publication per line, and copying the publication lists into MSExcel for cleaning and analysis. Data were cleaned to remove (1) duplicate entries (e.g. identical publications in the same annual report or a publication listed as ‘under review’ or ‘in press’ in one year and listed again as a publication in a following year); (2) publications listed as ‘submitted’, unpublished masters and PhD theses, speeches, lectures, responses or retractions; (3) incomplete entries (e.g. no article, book or journal title); and (4) publications prior to 2011 (e.g. a 2008 publication listed in the 2011 annual report).</p> <p>The cleaned data were then coded for ‘year of publication’ (2011 to 2017 inclusive), ‘college’ (any of the colleges at Makerere University to which the authors were affiliated), and ‘publication type’ (book chapter, journal article, edited volume, working paper, policy brief, monograph, conference paper, textbook, report, popular article, poster presentation, newsletter, essay, catalogue, poetry, handbook). Books or parts of books (i.e. ‘book chapter’, ‘edited volume’, ‘monograph’, ‘textbook’, ‘catalogue’, ‘poetry’ and ‘handbook’) were further coded for ‘publisher’ (name); ‘publisher location’ (city, country as indicated on the imprint page of the publication); and ‘URL’ (online reference to publisher or publication). In some cases, publications were listed by type in the annual reports. Where publication lists were not presented in this way, indicators such as ‘journal of’, ‘volume’, ‘issue’ and ISSNs were used to identify journals; conference names, ‘proceedings of’, dates and cities were used to identify conference papers and presentations; ‘news’, ‘magazine’, ISSNs and the absence of ‘journal of’ were used to identify periodicals; and place of publication, publisher and ISBNs were used to identify books. Where these indicators were insufficient to determine a publication type, an online search was done to find the missing data. </p> <p>A limitation of the adopted method is that it relies on self-reporting by the university colleges and the list can therefore not be assumed to be comprehensive. Without knowledge of the reporting guidelines, it is also not possible to know whether all colleges and schools used the same criteria when selecting what to submit for reporting purposes. For example, some colleges may have decided to include working papers, policy briefs or papers presented at conferences, while others may have decided not to do so. </p>
ScienceDex guides
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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.