Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,188
datasets available to search
ShareScore release 0.9.0
Dataset results
1,188 results for “Delta”
Figure 28 in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 28. Directive file printcr for the output of characters used in a DELTA database. Th e numbers to the left of the directive file indicate different classes of directives (see in Table 1).
Figure 25 in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 25. Confor in the DELTA Editor asks the user to make a selection of directive files being exported.
Figure 30 in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 30. Directive file toint for generating the files needed for Intkey. Th e numbers to the left of the directive file indicate different classes of directives (see Table 3). Th e grey ovals show commands where input of the user might be required. (continued on next page)
Figure 34 in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 34. The ofiles directive file contains data for the automatic naming of files created with tonatsr. The numbers to left of the directive file indicate different classes of directives (see in Table 7). Th e grey oval shows command where input of the user might be required.
Figure 27a–b in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 27a–b. Information window of Confor informing the user of a successful output: a it was terminated correctly and b the path shows were the output files are located.
Figure 17a–g. Character state images. a in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 17a–g. Character state images. a the Images tab in the Character editor b Settings allow the selection of the path to the image directory and font details for the overlays c Display shows the selected image file in a window with the character and overlay boxes d feature text of the character e Hotspot selection box f character state overlay box g Cancel box. Th ese overlays are used in Intkey.
Figure 31 in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 31. The tonatr directive file contains the commands for producing natural language descriptions. The numbers to the left of the directive file indicate different classes of directives (see in Table 4). The grey ovals show commands where input of the user might be required. (continued on next page).
Figure 13. Inserting a in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 13. Inserting a taxon that was marked as a variant (Treat as variant) in the Taxon editor, indicated by (+) preceding the taxon name.
Figure 14a–h in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 14a–h. Attribute editor in the Grid view. a character feature text b taxon list c selection box shows character state 1 selected. Th e red dash of character 12 indicates that this character is inapplicable d the grey background in the box indicates that a comment in angle brackets was made to specify the character state e unrecorded character f character states explicitly marked unknown g character state pane, where aside from the input of the character state as a number comments can be made in angle brackets h character state selection check boxes.
Figure 12 in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 12. Recording the character states in the tree–like expanded character pane. It is possible to add comments in angle brackets, and other qualifying information, in the lower left pane.
Figure 6a–e in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 6a–e. Input of text characters with the Character editor and change of sequence of characters.
Figure 1a–f. DELTA Editor. a dropdown menus b in DELTA for Beginners. An introduction into the taxonomy software package DELTA
Figure 1a–f. DELTA Editor. a dropdown menus b pane for items (= taxa) c pane for characters d buttons for formatting selections e pane showing the character state description in number form and possible additional descriptions in angle brackets f pane for character state selection with check boxes.
Soil Dataset for Land evaluation in southwestern of Egyptian Delta
<p>Soil Dataset for Land evaluation in southwestern of Egyptian Delta</p>
Supplementary material 2: Bombus spp trapped in Delta Junction Alaska, 2010 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
1812 specimens of sixteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Supplementary material 1: Bombus spp trapped in Delta Junction Alaska, 2009 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
2,446 specimens of sixteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Gilbert delta laboratory experimental data
<p>The .mat file contains the data of three laboratory experiments on Gilbert delta progradation and stratification subject to base level change. The .txt file explains how the data is organized. </p>
SWAT river water, TN & TP loads to Limfjorden under climate change scenarios (Delta change) + baseline SWAT loads 2009-2018. Paper ". Impacts of climate change on water quality, benthic mussels and suspended mussel culture in a shallow, eutrophic estuary by Maar et al. Heliyon,
<p>SWAT river water, TN & TP loads to Limfjorden under climate change scenarios (Delta change) + baseline SWAT loads 2009-2018 </p>
ADCP and CTD data Rhine-Meuse Delta
<p>Dataset containing .mat scripts containing pre-processed ADCP and CTD data, retrieved in the Rhine-Meuse delta on 12 Aug 2014 and 14 Sep 2015. Described in detail in the upcoming publication Jongbloed and Hoitink 2015 (submitted to the Journal of Physical Oceanography).</p>
Functional Lake-to-Channel Connectivity Impacts Lake Ice in the Colville Delta, Alaska
<p>This data is public for a manuscript accepted in JGR Earth Surface. The article will be linked here once it is published. </p> <p>Corresponding code can be found on Github: <a href="https://github.com/whyana/colvilleConnectivity">https://github.com/whyana/colvilleConnectivity</a></p> <p>File and variable descriptions can be found in ReadMe_zenodo.docx OR on Github: <a href="https://github.com/whyana/colvilleConnectivity">https://github.com/whyana/colvilleConnectivity</a></p>
Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020
<p> Data includes remote sensing products from PhotoSpec (a scanning spectrometer) from August 2019-December 2020. We provide daily averaged vegetation indices for a mix of understory lichen and moss species in a black spruce dominated forest. We compute near-infrared vegetation index (NIRv), normalized difference vegetation index (NDVI), photochemical reflectance index (PRI), and chlorophyll-carotenoid index (CCI) averaged for three understory targets at NEON Delta Junction. We also provide daily averaged photosynthetically active radiation (PAR) and solar zenith angle (SZA). Finally, we provide the average diurnal profiles of all the aforementioned metrics for 4 20-day windows in winter, spring, summer, and fall. </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.