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.
4
datasets available to search
ShareScore release 0.9.0
Dataset results
4 results for “MODIS imagery”
Global leaf chlorophyll content (LCC) product from MODIS imagery (2000-2020)
<p>The spatial and temporal distribution of leaf chlorophyll content (LCC) is critical for understanding the capacity of vegetation photosynthesis. Here, a global 8-day leaf chlorophyll content (LCC) dataset at 500-m resolution was generated from MODIS data using a matrix system with two pairs of vegetation indices. </p> <p><strong>The following paper should be cited when using the data:</strong></p> <p>Xu, M., Liu, R., Chen, J.M., Liu, Y., Wolanin, A., Croft, H., He, L., Shang, R., Ju, W., Zhang, Y., He, Y., Wang, R., 2022. A 21-year time-series of global leaf chlorophyll content maps from MODIS imagery. IEEE Trans. Geosci. Remote Sens. <a href="https://doi.org/10.1109/TGRS.2022.3204185">https://doi.org/10.1109/TGRS.2022.3204185</a>.</p> <p>Detailed description of data organization can be found in the uploaded document "1Readme.docx".</p> <p>The whole dataset of MODIS LCC product is from 2000 to 2020. <strong>Due to the data volume limitation of Zenodo, currently the data from 2000-2010 can be downloaded through Google Drive sharing link:</strong></p> <p><a href="https://drive.google.com/drive/folders/11eXetjsAB_ZjFqGs8SXEWzd6byr_8LoW?usp=sharing">https://drive.google.com/drive/folders/11eXetjsAB_ZjFqGs8SXEWzd6byr_8LoW?usp=sharing</a></p> <p><strong>Related dataset: </strong>Mingzhu, X., Liu, R., Chen, J. M., Shang, R., & Liu, Y. (2022). Global leaf chlorophyll content product from MERIS imagery (GLOBMAP MERIS LCC) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.10467919">https://doi.org/10.5281/zenodo.10467919</a></p> <p>For any other questions, please send email to Mingzhu Xu (<a href="mailto:xumzhu@gmail.com">xumzhu@gmail.com</a>).</p>
FABIAN: a daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000-2021 based on MODIS imagery using Google Earth Engine
<p>This is a supplementary data set for FABIAN: a daily product of Fractional Austral-summer Blue Ice over ANtarctica during<br> 2000{2021 based on MODIS imagery using Google Earth Engine</p> <p>The files include:</p> <p>(1) Snow spectra modelled by TARTES, a two-stream radiative transfer model for light in snow (Libois et al., 2013).</p> <p>(2) Spectra extracted from MODIS, using AUTO-EM.</p> <p>(3) Endmember selection results, including ESS, EMC, and AMUSES.</p> <p>The other hyperspectral data from field measurements can be acquired by contact the original authors.</p> <p>Libois, Q., Picard, G., France, J., Arnaud, L., Dumont, M., Carmagnola, C., King, M., 2013. Influence of grain shape on light penetration in snow. The Cryosphere 7, 1803-1818.</p>
Ice Floe Segmentation of MODIS imagery
<p>In the segmentation output folder you will find:</p> <ul> <li>for each day of analysis: <ul> <li>YYYY-MM-DD-JD_terra_final.tif: the final georeferenced masked floes</li> <li>YYYY-MM-DD-JD_terra.csv: the properties tables for the floes. see https://scikit-image.org/docs/stable/api/skimage.measure.html#skimage.measure.regionprops for a full description of each parameter. The columns are: <ul> <li>label: corresponding number in the .tif file</li> <li>area (in number of pixels)</li> <li>centroid-0: centroid of the floe (row)</li> <li>centroid-1: centroid of the floe (column)</li> <li>axis_major_length</li> <li>axis_minor length</li> <li>orientation: angle between 0th axis (rows) and major axis</li> <li>perimeter: in pixel units</li> <li>intensity mean: average red channel value of floe</li> </ul> </li> </ul> </li> <li>for each year: mask_values_YYYY.txt : text files with columns: <ul> <li>doy: day of year</li> <li>ice area (pixels)</li> <li>total area for analysis (not cloud or land mask)</li> <li>sea ice concentration</li> </ul> </li> <li>reproj_land.tif: the land mask</li> </ul> <ul> <li>df_all_withloc.csv: includes all floe properties from all years- same columns as individual days plus: <ul> <li>year</li> <li>doy: julian day of year</li> <li>perim_km (perimeter in km)</li> <li>area_km (area in km^2)</li> <li>circ: C = 4*pi *area / (perim^2)</li> <li>lon_ps: polar stereographic x values epsg:3413</li> <li>lat_ps: polar stereographic y values epsg:3413</li> <li>lon: epsg:4326</li> <li>lat: epsg:4326</li> </ul> </li> </ul> <p>outisde of the segmnetation output folder:</p> <p>df_stats_all2.csv: a combination of all the mask value files with additional columns:</p> <ul> <li>floe area: total area of floes within the image</li> <li>floe count: total number of floes in the image</li> </ul> <p> </p>
AMSRIce03 MODIS Imagery, Version 1
This data set contains Moderate Resolution Imaging Spectroradiometer (MODIS) imagery of the Alaska, USA area, complementing the joint in situ and aircraft Advanced Microwave Scanning Radiometer Sea Ice Product Validation (AMSRIce03) campaign.
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.