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.
32
datasets available to search
ShareScore release 0.9.0
Dataset results
32 results for “storage time”
Pre SWOT Hydrology Global Lake/Reservoir Storage Time Series V2
The Global Lake/Reservoir Storage Time Series is derived from the Surface Water Height Time Series and Surface Water Extent Mask Time Series products. The purpose of this dataset is to provide surface water storage estimates for several hundred lakes and reservoirs across the globe. These time series potentially span a 25 year time period, from late 1992 to 2017, satisfying the project goal of ESDR creation with a suitable level of quality that supports long-term trend analysis and global water dynamics models. This product is readily accessible and is of direct use to both water managers and the scientific community worldwide, and allows for improved assessment and modeling of the human impact on the global water cycle. These pre SWOT data are derived from satellites to provide hydrological measurements. The Surface Water and Ocean Topography (SWOT) mission will have hydrology as one of its objectives. This dataset does not have the same variables as SWOT, but does provide hydrological measurements with typical quality flagging typical of satellite data. Not only does it provide science information, it can also assist hydrological users new to satellite data with the satellite data formats and variables before SWOT launches.
RNA-seq of mouse heart with different storage time followed by reperfusion
GEO Series GSE174342. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
Time-dependent transcriptomic responses of Daphnia magna exposed to metabolic disruptors that enhanced storage lipid accumulation.
GEO Series GSE119329. Daphnia magna. 24 samples. Type: Expression profiling by array.
Full sequencing dataset of payload segments for "A Base Multilayer DNA Storage Architecture Enables Real-Time Decoding to Overcome Latency" (Part 2, FASTA file)
<p><span lang="EN-US">This is the full sequencing dataset of payload segments for the manuscript "A Base Multilayer DNA Storage Architecture Enables Real-Time Decoding to Overcome Latency", which is submitted for review.</span></p> <p><span lang="EN-US">We successfully encoded the first color film "Becky Sharp" (54.79 MB) into ~10.08 million DNA strands, achieving a sustained readout throughput of 459 kbit/s.</span></p> <p><span lang="EN-US">This full sequencing dataset contains all base-called data (in BIN and FASTA) of the payload segments. It can be used for recovery of the 28-layer color film data with the <br>DNA-LC software. </span></p> <p><span lang="EN-US">Due to size limitations, the dataset is divided into two parts. Part 1 contains all the files in BIN format, and Part 2 contains the corresponding files in FASTA format. This link is for Part 2.</span></p>
Full sequencing dataset of payload segments for "A Base Multilayer DNA Storage Architecture Enables Real-Time Decoding to Overcome Latency" (Part 1, BIN file)
<p><span lang="EN-US">This is the full sequencing dataset of payload segments for the manuscript "A Base Multilayer DNA Storage Architecture Enables Real-Time Decoding to Overcome Latency", which is submitted for review.</span></p> <p><span lang="EN-US">We successfully encoded the first color film "Becky Sharp" (54.79 MB) into ~10.08 million DNA strands, achieving a sustained readout throughput of 459 kbit/s.</span></p> <p><span lang="EN-US">This full sequencing dataset contains all base-called data (in BIN and FASTA) of the payload segments. It can be used for recovery of the 28-layer color film data with the<br>DNA-LC software. </span></p> <p><span lang="EN-US">Due to size limitations, the dataset is divided into two parts. Part 1 contains all the files in BIN format, and Part 2 contains the corresponding files in FASTA format. This link is for Part 1.</span></p>
Verification dataset of "A Base Multilayer DNA Storage Architecture Enables Real-Time Decoding to Overcome Latency"
<p>This is a dataset for the proposed base-layered DNA data storage. </p> <p>The first color film “Becky Sharp” (54.79 MB) was encoded into ~10.08 million DNA strands<span lang="EN-US">, achieving a sustained readout throughput of 459 kbit/s</span>.</p> <p>For the film, it was used to verify the performance of the proposed DNA data storage method, only for academic research, not related to the content.</p> <p>The dataset consists of three categories: the original data, the oligo sequence data, and the sequencing data (in BIN and FASTA formats).</p>
Efficacy of Local Food Extracts at Different Storage Times
ClinicalTrials.gov study NCT02774629. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Long-time Human Sperm Storage in Liquid Nitrogen on Semen Parameters
ClinicalTrials.gov study NCT06448000. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Efficacy of Lyophilized Food Extracts for Skin Prick Tests and Atopy Patch Test at Different Storage Time
ClinicalTrials.gov study NCT03645629. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Storage time does not modify the gene expression profile of cryopreserved human metaphase II oocytes
GEO Series GSE69768. Homo sapiens. 10 samples. Type: Expression profiling by array.
CDDIS MEaSUREs SESES products Change in Water Storage Time Series
Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products are grids of changes in total water storage over the continental U.S.; continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S.
Global estimates of the storage and transit time of water through vegetation
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.