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.
517
datasets available to search
ShareScore release 0.9.0
Dataset results
517 results for “October”
FIG. 8. — A-C, E-G, Octoberaspis ushakovi n. gen., n in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 8. — A-C, E-G, Octoberaspis ushakovi n. gen., n. sp.; A, No. 35/735, 27 × 12 mm; B, No. 35/707, 26 × 12 mm; C, No. 35/339, 20 × 12 mm; E, No. 35/379, 27 × 12 mm; F, No. 35/713 (juvenile), 11 × 4 mm; G, No. 35/719 (juvenile), 8 × 3.5 mm; D, Chasmataspida incertae sedis, No. 35/174, 29 × 12 mm.
FIG. 2. — Paraduslia talimaae n. gen., n in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 2. — Paraduslia talimaae n. gen., n. sp., interpretative drawings of the specimens shown in Fig. 1; A, No. 35/700 (holotype); B, No. 35/702. Abbreviations: an, bases of antennae; fu, furca; ma, median axis of opisthosoma; sp, spines, probably lamellar spines; tg, tergite. Scale bars: 5 mm.
FIG. 15 in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 15. — Reconstruction of Elymocaris urvantsevi n. sp. in lateral view. Appendages reconstructed by comparison to other phyllocarids. Scale bar: 5 mm.
FIG. 5 in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 5. — Reconstruction of the dorsal surface of Paraduslia talimaae n. gen., n. sp. Scale bar: 5 mm.
FIG. 14. — Elymocaris urvantsevi n in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 14. — Elymocaris urvantsevi n. sp., interpretative drawings of the specimens shown in Fig. 13; A, No. 35/375; B, 35/782; C, 35/781; D, No. 35/378; E, No. 35/779. Abbreviations: ab, abdomen; at, anterior tubercle; cp, carapace pleural fold; gt, possible gut trace; fu, furca; mdp, median dorsal plate; rp, rostral plate; st, striae; tl, telson; abdominal segments numbered (note longer segment 7). Scale bars: 5 mm.
FIG. 4. — Paraduslia talimaae n. gen., n in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 4. — Paraduslia talimaae n. gen., n. sp., interpretative drawings of the specimens shown in Fig. 3; A, No. 35/701; B, No. 35/703. Abbreviations: cp, carapace (note raised, diamond-shaped central area); ma, median axis of opisthosoma; sp, spines, probably lamellar spines from appendages. Scale bar: 5 mm.
FIG. 7. — Octoberaspis ushakovi n. gen., n in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 7. — Octoberaspis ushakovi n. gen., n. sp., interpretative drawings of the specimens shown in Fig. 6; A, No. 35/324; B, Nos. 35/336 (holotype) (above) and 35/337 (below); C, No. 35/711; D, No. 35/712. Abbreviations: ap, prosomal appendage; cp, carapace; cr, marginal carapace rim; ep, epimera of pretelsonic segment; ga, genital appendage; gs, genal spine; le, lateral eye tubercle; me, median eye tubercle; ms, metastoma; op, opisthosomal operculae; pra, preabdomen; poa, postabdomen; tb, preabdominal tuberculation; tl, telson, opisthosomal segments numbered. Scale bar: 5 mm.
FIG. 10 in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 10. — Reconstruction of Octoberaspis ushakovi n. gen., n. sp. in both dorsal and ventral view. Chelicerae and leg coxae hypo- thetical, based on comparisons with eurypterids and xiphosurans. Scale bar: 5 mm.
FIG. 1. — Paraduslia talimaae n. gen., n in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 1. — Paraduslia talimaae n. gen., n. sp.; A, No. 35/700 (holotype), 29 × 16 mm; B, No. 35/702, 33 × 15 mm.
FIG. 9 in Arthropods from the Lower Devonian Severnaya Zemlya Formation of October Revolution Island (Russia)
FIG. 9. — Interpretative drawings of the specimens shown in Fig. 8; A-C, E-G, Octoberaspis ushakovi n. gen., n. sp., A, No. 35/735; B, No. 35/707; C, No. 35/339; E, No. 35/379; F, No. 35/713 (juvenile); G, No. 35/719 (juvenile); D, Chasmataspida incertae sedis, No. 35/714. Abbreviations: ap, prosomal appendage; cp, carapace; cr, marginal carapace rim; ep, epimera of pretelsonic segment; gs, genal spine; le, lateral eyes; me, median eyes; od, opisthosomal doublure where tergites tuck round onto ventral surface; pd, paddle (prosomal appendage VI?); pra, preabdomen; poa, postabdomen; tl, telson; vp, ventral plate underlying tergites. Scale bars: 5 mm.
LPL16 - October 2022
<p>Measurements of LPL16 (Caceres) in October 2022</p> <p>Provincia de Cáceres</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL16">info</a></p>
LPL2 - October 2022
<p>Measurements of LPL2 (Caldera de Taburiente NP) in October 2022</p> <p>La Palma</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
LPL7 - October 2022
<p>Measurements of LPL7 (Archipielago Chinijo) in October 2022</p> <p>Archipielago Chinijo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL7">info</a></p>
LPL15 - October 2022
<p>Measurements of LPL15 (Badajoz) in October 2022</p> <p>Provincia de Badajoz</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL15">info</a></p>
Datasets of groundwater level and surface water budget in a central Mediterranean site (June 21, 2017 - October 1, 2022)
<p>The datasets contain data of groundwater levels and surface water budget measured in the Salento University Campus ‘Ecotekne’, in Lecce province, Italy (40°20’ N, 18°06’ E) between June 2017 and October 2022. The groundwater data are obtained from two historic wells (FW and BW) hand dug in the Miocene karst Aquifer of Central-Eastern Salento. They are close (few hundreds of meters) to the micrometeorological station of the CNR-ISAC (National Research Council Institute for Atmospheric Science and Climate), that provided the surface water budget data. </p> <p> </p>
Pyrolysis Model Data Set Contribution for the MaCFP-3 Workshop October 2023
<p>Pyrolysis model data set contribution for the <a href="https://iafss.org/macfp/">MaCFP-3 workshop October 2023</a></p> <p>The contributions are also available via the materials database <a href="https://github.com/MaCFP/matl-db">MaCFP git repository.</a></p> <p>For the inverse modelling in general, please see the manuscript <a href="https://doi.org/10.48550/arXiv.2303.17446">"PMMA Pyrolysis Simulation -- from Micro- to Real-Scale"</a></p> <p> </p> <p>There are three different ZIP archives provided:</p> <ul> <li>"MaCFP_Gasification" contains the simulations reproducing the NIST Gasification Apparatus for validation of the parameter sets, as requested per MaCFP. There are three different runs conducted, two for the originally submitted parameter sets (BUW-FZJ Approach A/B). No changes to the parameter sets are conducted. A new parameter set is provided to the MaCFP repository (BUW-FZJ PMMA01) and its validation simulations are provided as well. Furthermore, Jupyter notebooks are provided to process the simulation data.</li> <li>"PyrolysisKinetics_PMMA01" contains the inverse modelling run to determine the pyrolysis reaction kinetics.</li> <li>"Thermophysical_PMMA01" contains the inverse modelling run to determine the thermophysical parameters.</li> </ul>
Full dataset of carbonyl sulfide URBAG measurement campaign May and October 2020
<p>The following table shows the concentrations (ppt) of carbonyl sulfide (OCS) that were sampled during the URBAG measurement campaign during the months of May and October 2020 (see urbag.eu for more information). Air samples were taken at the eight sites in the Metroolitan Area of Barcelona, representing the heterogeneity of land use as follows: agricultural area (located in the Gavà and Prat areas), urban forest (Tibidabo and Collserola), urban green (Montjuic and Guinardó) and urban built environment (Sagrada Familia and Poble Nou). Wind direction is given in degrees; Wind speed m/s; temperature in ºC, and Pressure is QFE in hPa; relative humidity (RH) is in %; PBLH is extracted from WRF model and is in m. This data set is publically available as part of the Open Research section of the manuscript “Exploring the influence of land use on the urban carbonyl sulfide budget: a case study of the Metropolitan Area of Barcelona”, recently submitted to JGR Atmospheres. </p>
coSIF Data Product for February, April, July, and October 2021
<p>The monthly, 0.05-degree resolution coSIF predictions and corresponding root-mean-squared prediction errors (RMSPEs) for each of February, April, July, and October 2021 over North America. Each NetCDF file corresponds to one of the four months and contains two variables: "cosif_prediction" and "cosif_rmspe." For example, "coSIF_202102.nc4" corresponds to February 2021. All units are Watts per square meter, per steradian, and per micrometer (W \ m^2 \ sr \ <span class="math-tex">\(\mu\)</span>m).</p> <p>As described in Jacobson et. al. (2023), predictions and RMSPEs for July 2021 were produced using cokriging. For all other months, predictions and RMSPEs were produced using kriging.</p>
AIS heatmap: North Sea and Dutch Inland Waterways for the months January, April, July, October in 2019
<p>This dataset contains information on vessel movements in the North Sea and Dutch Inland Waterways for the months January, April, July, and October in 2019. It provides a heatmap representation of vessel traffic density during these specific months, which can be useful for various maritime and environmental analyses.</p> <p>1. File Formats</p> <p>The dataset is provided in the following file formats:</p> <ul> <li>NetCDF : The primary data files are available in netcdf format. For each grid cell the variables sog (Speed Over Ground) and count (Number of AIS messages) are available</li> <li>GeoTIFF (Georeferenced Tagged Image File Format): Heatmap images are provided in GeoTIFF format, suitable for geographic visualization.</li> </ul> <p>The dataset is split into tiles. Each tile conforms to the <a href="https://wiki.openstreetmap.org/wiki/Tiles">OSM tiling</a> naming scheme.</p> <p>2. Variables </p> <p>The dataset includes the following key variables:</p> <ul> <li><strong>Speed Over Ground (SOG)</strong>: The average vessel's speed over the ground for all the messages.</li> <li><strong>Count</strong>: The number of AIS messages received in this location</li> </ul> <p>3. Data Collection Method </p> <p>The AIS data used in this dataset was collected from AIS transponders on vessels operating in the North Sea and Dutch Inland Waterways. These transponders transmit information such as vessel position, speed, and identification. The dataset aggregates this information to create heatmap images for analysis. We did this on all the messages. Some ships emit more messages than others. Ships emit messages at higher frequency when sailing than when stationary. </p> <p>4. Source of Original Data</p> <p>The original AIS data used to create this dataset was sourced from the AIS archive from Rijkswaterstaat. This dataset was analysed for the purpose of a <a href="https://ais-scrolly.netlify.app/">storymap</a>.</p> <p> </p> <p> </p>
Model output tracking smoke from agricultural fires in south Florida from October 2022 - May 2023
Open the record for dataset details and reuse information.
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.