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.
945
datasets available to search
ShareScore release 0.7.1
Dataset results
945 results for “photographs”
Photographic dataset of random peppercorns
<p>This is an open access photographic dataset collected for testing image processing algorithms. The idea is to have sets of different but statistically similar images. The images show randomly distributed peppercorns.</p> <p>The dataset consists of ten high-resolution black and white images of peppercorn in TIFF file format. Documentation of the dataset is available at <a href="https://arxiv.org/abs/1603.01046">arxiv.org/abs/1603.01046</a>. See also <a href="https://www.fips.fi/photographic_dataset.php">www.fips.fi/photographic_dataset.php</a>.</p> <p>Example usage in Matlab:</p> <pre><code>im = imread('Peppercorn_1.tif'); im = double(im); % Converting to floating point data </code></pre> <p>The data is collected at the Industrial Mathematics Laboratory of the Department of Mathematics and Statistics of University of Helsinki.</p>
Photographic dataset of playing cards
<p>This is an open access photographic dataset collected for testing image processing algorithms. The idea is to have sets of identical photos with varying image noise. The images show playing cards.</p> <p>The dataset consists of seven high-resolution black and white images of playing cards in TIFF file format (*.tif files) with varying noise . Also included are nine MATLAB files to process the data (*.m files). Documentation of the dataset is available at <a href="https://arxiv.org/abs/1701.07354">arxiv.org/abs/1701.07354</a>. See also <a href="https://www.fips.fi/photographic_dataset.php">www.fips.fi/photographic_dataset.php</a>.</p> <p>Example usage in MATLAB:</p> <pre><code>im = imread('im_clean.tif'); im = double(im); % Converting to floating point data </code></pre> <p>The data is collected at the Industrial Mathematics Laboratory of the Department of Mathematics and Statistics of University of Helsinki.</p>
बोधगया Bodhgaya (बिहार). Photograph of Chinese Inscription.
<p><a href="https://siddham.network/inscription/inch0001/">INCH0001</a> बोधगया Bodhgaya (बिहार). Photograph of Chinese Inscription (with date equivalent to 1021-22 CE). British Museum 1897,0528.0.31 a, presented by A. W. Franks. © Trustees of the British Museum</p> <p>[This inscription is number 1 in Cunningham's listing (Cunningham 1892, 69). Note: Cunningham (1892), 69 refers to Plate XXX, fig. 2 but this is an error; he means fig.1. The find-spot is mentioned in Cunningham (1892), 38, location Z2, just east of the main temple.]</p>
Bodhgayā, Bihar. Photograph of Chinese Inscription. British Museum 1897,0528.0.30 a
<p>Bodhgayā, Bihar. Photograph of the Chinese Inscription dated in the second year of 明道 Míngdào (CE 1032-33) of the Song emperor 真宗 Zhēnzōng (see notes for explanation). Further data in SIDDHAM <a href="https://siddham.network/object/obch0004/">OBCH0004</a>. © British Museum.</p>
Malwa site survey : Bhopal District, photographic documentation (version 1, TIFF files)
<p>Malwa site survey : Bhopal District, photographic documentation, based on surveys conducted by Department of Archaeology and Museums, Madhya Pradesh.</p>
Malwa site survey : Sehore सीहोर District, Budni Tahsīl, photographic documentation (part 2)
<p>Malwa site survey: <a href="https://en.wikipedia.org/wiki/Sehore_district">Sehore District</a>, <a href="https://en.wikipedia.org/w/index.php?title=Budni&redirect=no">Budni</a> Tahsīl, photographic documentation (part 2), based on surveys conducted by Department of Archaeology and Museums, Madhya Pradesh.</p>
Malwa site survey : Sehore सीहोर District, Budni Tahsīl, photographic documentation (part 1)
<p>Malwa site survey: <a href="https://en.wikipedia.org/wiki/Sehore_district">Sehore</a> <a href="https://en.wikipedia.org/wiki/Sehore_district">District</a>, <a href="https://en.wikipedia.org/w/index.php?title=Budni&redirect=no">Budni</a> Tahsīl, photographic documentation (part 1), based on surveys conducted by Department of Archaeology and Museums, Madhya Pradesh.</p>
Malwa site survey: Bhopal District, Berasia Tahsīl, photographic documentation.
<p>Malwa site survey: <a href="https://en.wikipedia.org/wiki/Bhopal_district">Bhopal District</a>, <a href="https://en.wikipedia.org/wiki/Berasia">Berasia</a> Tahsīl, photographic documentation.</p> <p> </p>
Malwa site survey : Bhopal District, photographic documentation (version 2, JPEG files)
<p>Malwa site survey : Bhopal District, photographic documentation (version 2, JPEG files), based on surveys conducted by Department of Archaeology and Museums, Madhya Pradesh.</p>
Malwa site survey: Bhopal District, Berasia Tahsīl, photographic documentation (with villages named)
<p>Malwa site survey: <a href="https://en.wikipedia.org/wiki/Bhopal_district">Bhopal District</a>, <a href="https://en.wikipedia.org/wiki/Berasia">Berasia</a> Tahsīl, photographic documentation (with villages named).</p>
Malwa site survey : Raisen District, Begamganj Tahsīl, photographic documentation
<p> Malwa site survey : <a href="https://en.wikipedia.org/wiki/Raisen_district">Raisen District</a>, <a href="https://en.wikipedia.org/wiki/Begamganj">Begamganj</a> Tahsīl, photographic documentation.</p>
Piprahwa (Siddharthnagar district, Uttar Pradesh). Photographic rendering of reliquary inscription by India Museum, Calcutta.
<p>Piprahwa (Siddharthnagar district, Uttar Pradesh). Photographic rendering of reliquary inscription by India Museum, Calcutta.</p>
Photographic record of land degradation and resilience in Dogu'a Tembien after the shock of the Tigray war (northern Ethiopia)
<p><span>Following two years of combat, blockade, and power outage, the Tigray war in northern Ethiopia has had a substantial negative impact on the environment (2020–2022). This photographic dataset, part of a rare study carried out by the same research team before and after a war, compares 26-year legacy data on land degradation, with post-war observations at 56 sites in the Dogu'a Tembien district of Tigray (13°39'N, 39°30'E), at elevations ranging from 1600 to 2800 meters.</span></p> <p><span>With 30 years of environmental research experience in Tigray, we remained as a lone research team after the start of the war and collected ground data at previous research sites during the war. This culminated in international partners returning to the Dogu'a Tembien district in 2023 after they had been absent for four years due to coronavirus restrictions and the Tigray War. We visited 56 previously investigated sites—which have been documented in 45 prior publications—through transect walks, where we mostly made qualitative observations and discussions regarding the processes of land degradation and recovery. This included degradation processes like sheet and rill erosion</span><span>, gully erosion</span><span>, landslides</span><span></span><span>, deforestation</span><span>, as well as the most common rehabilitation approaches, i.e. stone bunds</span><span>, check dams</span><span>, exclosures</span><span>, improved hydrological cycle</span><span>, and integrated catchment management</span><span>. Local farmers and other village residents, along with experts who either reside in or have a good understanding of the research area, participated in the group observations.</span></p>
Dataset of CT scans, slice photographs, and visual browning scores of 120 'Kanzi' apples
<p><strong>Summary</strong></p><p>This dataset is a collection of CT scans, slice photographs, and visual browning scores of 120 'Kanzi' apples.</p><p><br><strong>Description</strong></p><p><i>Sample information</i></p><p>In 2022, 120 'Kanzi' apples that had been stored under CA conditions (4 °C, 1 kPa O2, 1.5 kPa CO2) for 8 months were obtained from FruitMasters, The Netherlands. The fruit was grown in orchards surrounding Geldermalsen, the Netherlands, and harvested at physiological maturity in 2021.</p><p><i>CT acquisition</i></p><p>The dataset is acquired in the FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. The CT scanner consists of a cone-beam microfocus polychromatic X-ray point source, and a 1944x1536 pixel, 14-bit, flat detector panel (Dexela1512NDT). Full details can be found in [Coban 2020]. A cone beam geometry with a circular trajectory was used to acquire 1440 projection images at an exposure time of 100ms, a tube peak voltage of 90kV, a current of 550uA, and 2 times binning, halving the detector resolution. Volumes were reconstructed with the FDK algorithm and a voxel size of 129.3um. Beam hardening correction was used from the FleXbox package [Kostenko 2020]. To make sure that the grey values could be compared between scans the spectral sensitivity of the scanner was first estimated for each scan individually and the average of these estimates was used for beam hardening correction on all CT scans. All apples were scanned with the stem side on top. Moreover, a line was drawn on all apples from the stem to the calyx. The apples were put in the CT scanner so that the line was facing the X-ray source.</p><p>The CT volumes are saved as .tiff stacks. All volumes have been cropped to remove the background.</p><p><i>Slicing and photograph acquisition</i></p><p>One day after CT scanning, the apples were sliced using a modified meat-slicing machine (CaterChef, house brand of EMGA, Mijdrecht, The Netherlands), which is illustrated in the file slicing_machine_labels.png. The sliding surface of the meat-slicing machine was replaced by a transparent acrylic sheet, and a camera was placed behind the slicing surface. While in the machine, each apple was kept in place by a suction cup so that it could not rotate during the slicing. All apples were sliced from the stem end to the calyx end, with a slice thickness of roughly 4mm. Every time before slicing, a picture was taken of the remaining part of the apple through the transparent sliding surface. To ensure that all apples were roughly aligned to the CT scans, the apples were oriented so that the line drawn earlier was on top.</p><p>The slice photographs are saved as .png files. All photographs have been cropped to remove the background and to center the apple in the image.</p><p><i>Visual browning scores</i></p><p>After each apple was sliced it was also visually inspected, and a score from one to ten was given to describe the amount of browning in the apple.</p><p><strong>Related paper</strong></p><p>When using this dataset please consider citing the following paper. It explains how the dataset was collected and used for the first time:</p><p>Dirk Elias Schut, Rachael Maree Wood, Anna Katharina Trull, Rob Schouten, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg, "Detecting internal disorders in fruit by CT. Part 1: Joint 2D to 3D image registration workflow for comparing multiple slice photographs and CT scans of apple fruit", 2023, <a href="https://arxiv.org/abs/2310.01987">arXiv preprint arXiv:2310.01987</a></p><p><br><strong>Research group</strong><br>This dataset was produced in a collaboration between the Computational Imaging group at Centrum Wiskunde & Informatica (CWI), and GREEFA.</p><p><a href="https://www.cwi.nl/research/groups/computational-imaging">https://www.cwi.nl/research/groups/computational-imaging</a><br><a href="https://www.greefa.com/nl/">https://www.greefa.com/nl/</a></p><p><strong>Contact details</strong><br>dirk [dot] schut [at] cwi [dot] nl</p><p><strong>Acknowledgments</strong><br>This work was funded by the Dutch Research Council (NWO) through the UTOPIA project (ENWSS.2018.003). The authors also acknowledge TESCAN-XRE NV for their collaboration and support of the FleX-ray laboratory.</p>
A gonad photographs dataset for fish of commercial interest
<p>This dataset was established during a one year project under the IFREMER (Institut Français de Recherche pour l’Exploitation de la Mer) for the harmonisation of maturity data acquisition methods for bony fish of commercial interest, with the help of scientific campaign CGFS, EVHOE, IBTS and ACCOBIOM (Auber et al., 2021, Laffargue et al.,1987, Le Roy et al., 1988).</p> <p>This dataset contains 4133 standardised gonad’s macroscopic photos of 61 species of fish of commercial interests collected along the European coastal water and the Caribbean Sea. The scale used throughout this project is the ICES maturity scale “WKASMSF” (ICES, 2018). To have more details about the photography process used for photos in this database, check the “Fish gonads’ photography protocol” from Le Meleder et al. (2022).</p> <p>This dataset is associated with a GitHub page hosting tools to generate maturity identification forms for fish of commercial interest. To have more detail about identification forms files and have the latest update, check the GitHub page “MaturityScaleTools” (<a href="https://github.com/LM-Anna/MaturityScaleTools">LM-Anna/MaturityScaleTools: Maturity scale tools to identify visual maturity phases (github.com)</a>).</p> <p>This dataset is meant to be enriched with time. Photos may be added to complete the missing maturity phases for every species of the world. To have more details about the dataset or to add new photos, please contact annalemeleder@orange.fr or <a href="mailto:laurent.dubroca@ifremer.fr">laurent.dubroca@ifremer.fr</a>.</p> <p> </p> <p><strong>Images:</strong></p> <ul> <li> <p><strong>Photo_MATURITY.zip</strong> : archive in zip format of 4133 macroscopic photographs of gonads (.JPG; 2Mo-6Mo; sRGB; 1080p). Each photo was taken with the same camera (OLYMPUS / Tough F2.0), on the same white background, with homogeneous lighting to avoid glints from overexposure. Since there are no duplicated photos’ names because all photos were taken with the same camera, names correspond to the one generated by the camera. Photos are sorted under three levels of directories :</p> <ul> <li> <p><strong>First level :<em> species’ scientific name</em></strong> (Example : <em>Dicentrarchus labrax</em>) : there are currently 61 different species listed</p> </li> <li> <p><strong>Second level :<em> F or M</em> </strong>: the sex, with F from females and M for male</p> </li> <li> <p><strong>Third level : <em>A, B, C, D, E or F</em> </strong>: the maturity phases of the ICES 2018 scale. In each folder are assigned the corresponding gonadic photos.</p> </li> </ul> </li> </ul> <p> </p> <p><strong>Data frames:</strong></p> <ul> <li> <p><strong>photo_mat.xlsx</strong> (13 columns / 4133 rows): data table (Excel format) listing all photos in the Photo_MATURITY database, as well as the data associated with the photos. The data table is presented as followed, for each photo :</p> <ul> <li> <p>Name : Name of the photo</p> </li> <li> <p>Type : Type of gonad photo (INT = inside without organs, INT ORG = inside with organs, EXT = outside, EXT OUV = outside and open, FLUANT = fluent)</p> </li> <li> <p>sppeng : English vernacular name of the species or species group established for identification forms</p> </li> <li> <p>Species : Scientific name of the species or species group established for identification guides</p> </li> <li> <p>Sex : Sex of the fish (M = male, F = female)</p> </li> <li> <p>phase ID : visually estimated maturity phase (ICES WKASMSF scale : A, B, C, D, E or F)</p> </li> <li> <p>Link : Link to the photo, to change depending on your path to the downloaded dataset =LIEN_HYPERTEXTE(« (Your path to the dataset)\Photo_MATURITE\« &H<sub>n</sub>& »\« &E<sub>n</sub>& »\« &F<sub>n</sub>& »\« &A<sub>n</sub>& ».JPG »)*</p> </li> <li> <p>spplatTRUE : Scientific name of the species without taking species groups into account</p> </li> <li> <p>sppengTRUE : English vernacular name of the species without taking species groups into account</p> </li> <li> <p>Date : Date the photo was added to the dataset (the year correspond to the year the photo was took)</p> </li> <li> <p>Campaign : Survey during which the photo was taken</p> </li> <li> <p>Area : Geographical area (ICES or not) where the scientific survey occurred (Caribbean sea = Caribbean waters area, IVb-c = ICES area for the IBTS campaign, NA = unknown area, VIId = ICES area for NourManche campaign, VIId/VIIe = ICES area for CGFS campaign, VIIg/VIIj/VIIh/VIIIa-b = ICES area for EVHOE campaign)</p> </li> <li> <p>Commentary : Comments about the photo.</p> </li> </ul> </li> </ul> <p> </p> <p><strong>CAUTION</strong> : When using this database, please make sure to modify the link to the photos in the “Link” column with the link where you downloaded the Photo_MATURITY.zip file, and to check if it works by clicking it.</p> <p> </p> <p>*<sub>n</sub> = row number</p>
Multiple Element Limitation in Northern Hardwood Ecosystems (MELNHE): Litter Photographs, 2021-2022
Freshly senesced leaf litter was collected during autumn in New Hampshire at the Bartlett Experimental Forest, Hubbard Brook Experimental Forest, and Jeffers Brook as part of the Multiple Elementation Limitation in Northern Hardwood Ecosystems (MELNHE) study. Leaf litter was collected in October 2021 and 2022 at peak litterfall (i.e., mid-October) during a rain-free period. These leaf-litter samples were analyzed for nutrient concentrations for use in resorption analyses. This dataset includes photos of all of the leaf-litter samples used for chemical analysis. For the corresponding chemistry data, please see the following data package: Zukswert, J., K. Gonzales, S. Hong, C. See, B. Quintero, and R.D. Yanai. 2025. Multiple Element Limitation in Northern Hardwood Ecosystems (MELNHE): Fresh Litter Chemistry ver 3. Environmental Data Initiative. https://doi.org/10.6073/pasta/f52a613213855e4b4a03fa4a0e2f2922 (Accessed 2025-01-14). These leaf litter samples correspond with green foliage samples collected in late July and early August of the same years: the green foliage data can be found in the following data package: Zukswert, J.M., S.D. Hong, K.E. Gonzales, C.R. See, and R.D. Yanai. 2025. Multiple Element Limitation in Northern Hardwood Ecosystems (MELNHE): Foliar Chemistry 2008-2022 in Bartlett, Hubbard Brook, and Jeffers Brook ver 4. Environmental Data Initiative. https://doi.org/10.6073/pasta/ef3696a753150d0a420fd9009f73b1e9 (Accessed 2025-01-14). Photos of the corresponding foliage samples can be found in the following data package: Zukswert, J.M. 2024. Multiple Element Limitation in Northern Hardwood Ecosystems (MELNHE): Foliage Scans and Photographs ver 2. Environmental Data Initiative. https://doi.org/10.6073/pasta/7d93f50f9f2e848805b4aac9ed24689c (Accessed 2025-01-14). Additional detail on the MELNHE project, including a datatable of site descriptions and a pdf file with the project description and diagram of plot configuration can be found in this data package
Repeat, ground-based photographs of microplots at the three Conmod Pilot study locations at Jornada Basin LTER, 2008-2016
This data package contains ground-based, repeat photographs taken at plots in the Connectivity Modifier (Conmod) Pilot study on the Jornada Experimental Range from 2008-2016. There were 3 sites for this study: Gravelly Ridges, Aeolian, and Dona Ana. Within each site, there were 8 study plots, 4 of which were treatment plots where connectivity modules (conmods) were installed to decrease gap sizes between perennial vegetation. The plots were 8 x 8 meters and had an 8 x 8 meter buffer zone on both sides of the plot (upwind and downwind). Beginning in 2008, photographs were taken once to twice per year at ten microplots located within the 8 study plots per site to document plant litter, plant germination and growth, and soil deposition/removal by wind and water transport. Five photos were taken of each microplot: One overhead (from directly over the microplot) and 4 lateral views at ground level from each cardinal direction. This data package only contains archives with the overhead photographs, but lateral view photos are available on request. Photo filenames are fully descriptive of the site, plot, microplot, photo view, and date taken (see Methods description for details). This study is complete (finished in 2016) and was the pilot study to the newer Cross Scale Interactions Study.
Aerial view of part of the Bisti badlands from an elevation of approximately 8500 feet. Exposed here are the Upper Cretaceous Fruitland and Kirtland Formations. Photograph taken the morning of 13 April 1992. Copyright © Paul L. Sealey. 1992. in Stratigraphy, paleontology and age of the Fruitland and Kirtland Formations (upper Cretaceous), San Juan Basin, New Mexico
Aerial view of part of the Bisti badlands from an elevation of approximately 8500 feet. Exposed here are the Upper Cretaceous Fruitland and Kirtland Formations. Photograph taken the morning of 13 April 1992. Copyright © Paul L. Sealey. 1992.
PsPM-trSP4: SCR measurement in response to face photographs withangry, neutral, and fearful expression while subjected to auditory distractors
<p>This dataset includes skin conductance response (SCR) measurements for each of 42 healthy unmedicated participants (21 males and 21 females aged 25.2 +/- 4.0 years) in response to 38 face photographs (modified from the Karolinska Directed Emotional Faces set, KDEF), each presented once with angry, neutral, and fearful expression for 1 s each. Meanwhile, participants were listening to regular or random distractor sounds, as described in Bach et al. (2015). ITI was selected randomly on each trial from 7.5 s, 9.0 s, or 10.5 s (misprinted in the publications), plus a variable delay of around 0.1 s for image loading. The experiment was preceded by a 2-minute resting period and divided into 3 blocks, separated by resting periods. Each resting period begins and ends with an event marker in the SCR recordings.</p>
Fig. 17. Begonia burkillii Dunn. A. Leaf pattern. B. Male flowers. Photograph A in A revision and one new species of Begonia L. (Begoniaceae, Cucurbitales) in Northeast India
Fig. 17. Begonia burkillii Dunn. A. Leaf pattern. B. Male flowers. Photograph A courtesy of Aaron Matsumoto and photograph B courtesy of Earl I-Lan of plants in cultivation in private collections.
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.