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.
198
datasets available to search
ShareScore release 0.9.0
Dataset results
198 results for “SG”
Cipher Machine Schlüsselgerät SG 41_surface meshes (Inv. 2017-803)
<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>
Text-fig. A3. a: Leaf morphotype 1 Tebano MSF SG 049. b: Leaf morphotype 2 Oriolo MSF 631. c: Leaf morphotype 3 Oriolo MSF n.n. d, f: Leaf morphotype 4. d: Oriolo MSF 891. e: Oriolo MSF 856. f: Oriolo MSF 858. g: Leaf morphotype 5 Oriolo MSF 783. h: Leaf morphotype 6 Oriolo MSF 952. i: Leaf morphotype 7 Oriolo MSF 862. j, l: Leaf morphotype 8. j: Oriolo MSF 912. k: Oriolo MSF 662. l: Oriolo MSF 662-1. m: Leaf morphotype 9 Oriolo MSF 715. n: Leaf morphotype 10 Oriolo MSF 716. o: Leaf morphotype 11, overview and detail of margin Oriolo MSF 880. p–z: Various rosaceous leaves/ leaflets. p: Oriolo MSF 943. q: Oriolo MSF 890. r: Oriolo MSF 950. s: Oriolo MSF 958. t: Oriolo MSF 966 aff. Sorbus. u: Oriolo MSF 956. v: Oriolo MSF 961. w: Oriolo MSF 962. x: Oriolo MSF 874. y: Oriolo MSF 883. z: Oriolo MSF 960. in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. A3. a: Leaf morphotype 1 Tebano MSF SG 049. b: Leaf morphotype 2 Oriolo MSF 631. c: Leaf morphotype 3 Oriolo MSF n.n. d, f: Leaf morphotype 4. d: Oriolo MSF 891. e: Oriolo MSF 856. f: Oriolo MSF 858. g: Leaf morphotype 5 Oriolo MSF 783. h: Leaf morphotype 6 Oriolo MSF 952. i: Leaf morphotype 7 Oriolo MSF 862. j, l: Leaf morphotype 8. j: Oriolo MSF 912. k: Oriolo MSF 662. l: Oriolo MSF 662-1. m: Leaf morphotype 9 Oriolo MSF 715. n: Leaf morphotype 10 Oriolo MSF 716. o: Leaf morphotype 11, overview and detail of margin Oriolo MSF 880. p–z: Various rosaceous leaves/ leaflets. p: Oriolo MSF 943. q: Oriolo MSF 890. r: Oriolo MSF 950. s: Oriolo MSF 958. t: Oriolo MSF 966 aff. Sorbus. u: Oriolo MSF 956. v: Oriolo MSF 961. w: Oriolo MSF 962. x: Oriolo MSF 874. y: Oriolo MSF 883. z: Oriolo MSF 960.
ParticleSize_SG+Li2CO3
<p>Here are reported the FESEM microgrphs of the powders of commercial G018-402 glass and Li2CO3 used for preparing inks for robocasting deposition of glass material for joining alumina. The images are coupled with the report file generated by the FESEM software and .xlsx files containing the dimension of the particles measured by ImageJ software on the FESEM micrographs. The images saved by ImageJ, reporting the measured particles, were also apploaded</p>
ECOCLIMAP-SG-ML: an ensemble land cover map for numerical weather prediction
<p>This dataset contains ensemble land cover maps for numerical weather prediction at 60 m resolution over Europe. As they were<br>generated thanks to machine learning, the weights and the training data are also provided.</p>
Photographs of Stygiomedusa gigantea specimen UM14_IYGPT500_Sg (DLSI163)
<p>Photographs of sequenced individual of <em>Stygiomedusa gigantea</em> collected during the Collaborative East Antarctic Marine Census (CEAMARC) for the Census of Antarctic Marine Life (CAML, IPY Project 53) on board the TRV <em>Umitaka Maru</em> using an International Young Gadoid Pelagic Trawl (IYGPT) in the 0-500 m depth layer on 29 January 2008 off the Adelie Coast (Station UM14: 62˚01.5'S, 140˚02.5'E). Photographed using a Canon EOS 5D digital camera with Canon EF 24-70mm f/2.8L USM lens by Dhugal Lindsay. Identified by Dhugal Lindsay.</p>
Abb. 5. Die zufriedenen Mitglieder v.l.n.r in Der Vereinsausflug des EVB nach Amden (SG)
Abb. 5. Die zufriedenen Mitglieder v.l.n.r. Daniel Roesti, Charles Huber, Christoph Germann, Markus Fluri, Salome Steiner und Jürgen Hensle. (Foto: Ursula Beutler)
Abb. 1–4. 1. Der tiefblaue Wildsee auf dem Pizol. 2 in Der Vereinsausflug des EVB nach Amden (SG)
Abb. 1–4. 1. Der tiefblaue Wildsee auf dem Pizol. 2. Das wohlverdiente Bier in Amden mit Blick auf ein heranziehendes Gewitter aus den Glarner Alpen (v.l.n.r. Jürgen Hensle, Ursula Beutler, Lea und Michael Gilgen-Kamber, Markus Fluri und Charles Huber). 3. Die Gipfelstürmer beim «Zmittag» auf dem Mattstock (Markus Fluri, Charles Huber und Daniel Rösti). 4. Flora, Geranium pratense L., mit Fauna – der Rüsselkäfer Cleopomiarus graminis (Gyllenhal, 1813) beim Nektarraub. (Bilder: Ch. Germann)
Cipher Machine Schlüsselgerät SG 41 (private collection)
<p>This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine.</p> <p>object details:<br> name: Schlüsselgerät SG 41<br> private collector</p> <p>file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1921<br> grid size y: 1759<br> grid size z: 957<br> color depth: 16Bit</p> <p>ownership & image acquisition:<br> project: <a href="https://digital.deutsches-museum.de/en/projects/3d-cipher">3D-Cipher</a><br> collection: private<br> license: <a href="https://creativecommons.org/licenses/by/4.0/deed.en">Creative Commons BY-SA 4.0</a><br> scanning facility: <a href="https://www.iis.fraunhofer.de/en/ff/zfp.html">Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS</a><br> scanning device: High Energy CT XXL-CT<br> Funding attribution: <a href="https://www.bmbf.de/bmbf/en">German Federal Ministry of Education and Research</a><br> acknowledgement: <a href="https://www.cryptomuseum.com">CryptoMuseum</a> (as main source for informations about the cipher machines)</p>
SG - October 2023
<p>Measurements of SG (Global) in October 2023</p> <p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
SG - November 2023
<p>Measurements of SG (Global) in November 2023</p> <p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
SG - March 2024
<p>Measurements of SG (Global) in March 2024</p> <p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
SG - November 2024
<p>Measurements of SG (Global) in November 2024</p> <p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
SG - December 2021
<p>Measurements of SG (Global) in December 2021</p> <p> </p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
SG - November 2021
<p>Measurements of SG (Global) in November 2021</p> <p> </p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
SG - September 2021
<p>Measurements of SG (Global) in September 2021</p> <p> </p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
SG - October 2021
<p>Measurements of SG (Global) in October 2021</p> <p> </p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
SG - January 2022
<p>Measurements of SG (Global) in January 2022</p><p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
SG - February 2022
<p>Measurements of SG (Global) in February 2022</p><p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
SG - March 2022
<p>Measurements of SG (Global) in March 2022</p><p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
SG - April 2022
<p>Measurements of SG (Global) in April 2022</p> <p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></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.