Skip to main content
Powered by ShareScore

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.

187

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

187 results for “tide”

Learn how ShareScore rates datasets ↗
edi60/100

Water samples collected for dissolved inorganic carbon and nutrient analysis during tidal creek lateral exchange measurements approximately every 15 minutes from beginning of flood tide to the following low tide, Rowley, MA, PIE LTER.

Measurement of the lateral exchange of nutrients, sediment, and carbon in tidal creek systems draining predominantly low-elevation marsh dominated by Spartina alterniflora and high-elevation marsh dominated by Spartina patens located in Rowley, MA.

openCC (other)Jun 2025View details →
edi56/100

High and Low Tides of Hog Island Bay, Redbank, VA, and Oyster, VA for the Virginia Coast Reserve 2007-2025

This dataset is a summary version of the 12-minute tide data. It records the date, time and level of tides at high and low tide (as indicated by the data). Water temperatures are also recorded.

openCustomJun 2025View details →
edi56/100

Tide Data for Hog Island (1991-), Redbank (1992-), Oyster (2007-)

Tide data from VCR/LTER tide stations. It is available as a single large comma-separated-value file (size >50MB) or as individual years. Zip files contain annually-segmented data in two forms. The file tideYY.dat contains the data for year YY in a column format. The file tideYY.csv contains the same data in a comma-delimited format. For several sites and time periods, water temperatures are also recorded. All dates and times are in Eastern Standard Time.

openCustomJun 2025View details →
zenodo48/100

Water levels at tide gauges from: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution

<p>Data to&nbsp;reproduce the analysis of the Hourly Coastal water levels with Counterfactual (HCC) dataset, presented in the publication "<strong>Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution</strong>" published in Earth System Science Data (ESSD).&nbsp;</p><p>Note that in this repository, water levels are only provided tide gauge locations which were used for the analysis presented in the paper. The full Hourly Coastal water levels with Counterfactual (HCC) dataset is published in the <a href="https://doi.org/10.48364/ISIMIP.749905">ISIMIP repository</a>.</p><h2>File Descriptions</h2><h4>HCC_analysis_and_plots.ipynb</h4><p>This jupyter-notebook contains all scripts to produce the plots presented in the paper. Make sure that all necessary python packages are installed. The script assumes all netCDF files from this repository to be stored in a sub-directory called "data".</p><h3>hcc_gesla3_99pctl_surge_2011_2015.nc</h3><p>Extreme surge levels from 2011-2015 at 999 GESLA-3 tide gauge stations with at least 90 percent of data in the considered period. As astronomical tides are removed from the modeled and observed water levels to yield the surge component. The file also contains monthly relative water levels and monthly geocentric water levels from 1900-2015 from the HCC dataset.</p><h4>Variables:</h4><ul><li><i>observed_99pctl_surge_level_anomaly</i> -- 99th percentile of daily maximum surge level anomalies from 2011-2015</li><li><i>hcc_99pctl_surge_level_anomaly -- </i>HCC surge level anomalies at the same time steps as <i>observed_99pctl_surge_level_anomaly</i></li><li><i>hcc_counterfactual_99pctl_surge_level_anomaly</i> -- HCC counterfactual surge levels at the same time steps as <i>observed_99pctl_surge_level_anomaly</i></li><li><i>hcc_water_level_monthly</i> – Monthly relative water level from 1900-2015</li><li><i>hcc_geocentric_water_level_monthly</i> – Monthly geocentric water level from 1900-2015</li></ul><h3>hcc_hr_psmsl_water_level_monthly_1900_2015.nc</h3><p>Monthly water levels at 663 PSMSL tide gauge stations of at least 20 year length and with at least 30 percent data coverage in the 1993-2012 period. The file contains data from the HCC, HR and PSMSL datasets. To align PSMSL and HR with HCC, the 1993-2012 average from PSMSL and HR is removed from each of those datasets respectively and the 1993-2012 average of HCC is added. The average is calculated only over all time steps where the associated observational record has valid data.</p><h4>Variables:</h4><ul><li><i>hcc_water_level_monthly</i> – Monthly relative water level from the HCC dataset</li><li><i>hr_aligned_water_level_monthly</i> -- Monthly relative water level from the HR dataset, aligned with <i>hcc_water_level_monthly</i></li><li><i>psmsl_aligned_water_level_monthly</i> -- Monthly relative water level from the PSMSL database, aligned with <i>hcc_water_level_monthly</i></li></ul><h3>hcc_codec_hr_gesla3_water_level_hourly_monthly_1979_2015.nc</h3><p>Hourly water levels at 1040 GESLA-3 tide gauge stations which have at least 30 percent of valid observations between 1979 and 2015. The file contains data from the HCC, CoDEC, HR and GESLA-3 datasets. The different records are not vertically aligned.</p><h4>Variables:</h4><ul><li><i>gesla3_water_level_hourly</i> -- Hourly relative water level from the GESLA3 database</li><li><i>hcc_water_level_hourly</i> -- Hourly relative water level from the HCC dataset</li><li><i>codec_water_level_hourly</i> &nbsp;-- Hourly relative water level from the CoDEC dataset</li><li><i>hr_water_level_monthly</i> &nbsp;-- Monthly relative water level from the HR dataset</li></ul><h3>&nbsp;</h3><h3>hcc_gesla3_water_level_hourly_2011_2015.nc</h3><p>Water levels from the HCC and GESLA-3 datasets, only for tide gauge stations with a complete record in the period 2011-2015 and associated HCC grid points.</p><h4>Variables:</h4><ul><li><i>gesla3_water_level_hourly</i> -- Hourly relative water level from the GESLA3 database</li><li><i>hcc_water_level_hourly</i> -- Hourly relative water level from the HCC dataset</li></ul><h3>slr_ds_psmsl_selected.nc</h3><p>Linear estimates of relative sea level rise from 1900 to 2015. Data is provided at 663 PSMSL tide gauge stations of at least 20 year length and with at least 30 percent data coverage in the 1993-2012 period. Estimates are calculated for the HCC, HR and PSMSL datasets.</p><h4>Variables:</h4><ul><li><i>psmsl_rslr, psmsl_rslr_lower, psmsl_rslr_upper</i> -- Relative sea level rise for PSMSL with lower and upper bounds for a 95 percent confidence interval</li><li><i>hcc_long_rslr, hcc_long_rslr_lower, hcc_long_rslr_upper </i>-- Relative sea level rise for HCC with lower and upper bounds for a 95 percent confidence interval</li><li><i>hr_rslr, hr_rslr_lower, hr_rslr_upper</i> -- &nbsp;Relative sea level rise for HR with lower and upper bounds for a 95 percent confidence interval</li></ul><h3>reg_mask_xr.nc</h3><p>Split of the world into 7 ocean basins: Indian Ocean - South Pacific, Northwest Pacific, East Pacific, South Atlantic, Subtropical North Atlantic, Subpolar North Atlantic West and Subpolar North Atlantic East.</p><h4>Variables:</h4><p><i>reg_mask</i> – Float value, representing the ocean basins</p><p>&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo48/100

The 2001 Hawaiian Ocean Mixing Experiment (HOME): Internal-tide Mode-1 Amplitude Data from the Southern Tomographic Array

<p>Ocean acoustic tomography was used to measure tides in the farfield of the Hawaiian Ridge in 2001 during the Hawaiian Ocean Mixing Experiment (HOME). &nbsp;&nbsp;The measurements were components of a suite of large- and small-scale measurements obtained during HOME with the aim of illuminating the pathways of tidal energy that may be driving deep-ocean mixing. &nbsp;Using reciprocal transmissions, the tomographic arrays were designed to measure the radiation of mode-1 internal tides from the Ridge, together with barotropic tidal currents. This publication makes available the tomographic estimates for mode-1 internal-waves derived<br>from the six paths of the southern HOME tomography array.</p>

opencc-by-4.0Jun 2024View details →
zenodo48/100

The 2001 Hawaiian Ocean Mixing Experiment (HOME): Internal-tide Mode-1 Amplitude Data from the Northern Tomographic Array

<p>Ocean acoustic tomography was used to measure tides in the farfield of the Hawaiian Ridge in 2001 during the Hawaiian Ocean Mixing Experiment (HOME). &nbsp; The measurements were components of a suite of large- and small-scale measurements obtained during HOME with the aim of illuminating the pathways of tidal energy that may be driving deep-ocean mixing. &nbsp;Using reciprocal transmissions, the tomographic arrays were designed to measure the radiation of mode-1 internal tides from the Ridge, together with barotropic tidal currents. This publication makes available the tomographic estimates for mode-1 internal-waves derived<br>from the six paths of the northern HOME tomography array.</p>

opencc-by-4.0Jun 2024View details →
edi48/100

PIE LTER Year 2017, 15 minute measurements of conductivity, water temperature at the Ipswich River head of tide, Sylvania Dam in Ipswich, MA.

Year 2017, continuous measurements, every 15 minutes were made of conductivity, water temperature in the Ipswich River behind the head of tide Sylvania Dam in Ipswich, MA. The datalogger was retrieved in August, 2017 and returned to Dr. Green.

openCC (other)Jan 2020View details →
edi48/100

Measurements of tidal creek discharge measurements during tidal creek lateral exchange measurements approximately every 15 minutes from beginning of flood tide to the following low tide, Rowley, MA, PIE LTER.

Measurement of the volume of water during lateral exchange measurements in tidal creek systems draining predominantly low-elevation marsh dominated by Spartina alterniflora (LM1 and LM2) and high-elevation marsh dominated by Spartina patens (West, Nelson, HM1). Creeks are located in Rowley, MA, PIE LTER.

openCC (other)Jan 2020View details →
edi48/100

Water-column conductivity, salinity, dissolved oxygen, turbidity, and pH by deployed sonde during tidal creek lateral exchange measurements approximately every 5 minutes from beginning of flood tide to the following low tide, Rowley, MA, PIE LTER.

Measurement of water-column conductivity, salinity, temperature, dissolved oxygen, turbidity, and pH logged by deployed sonde in tidal creek systems draining predominantly low-elevation marsh dominated by Spartina alterniflora (LM1 and LM2) and high-elevation marsh dominated by Spartina patens (West, Nelson, HM1). Creeks are located in Rowley, MA, PIE LTER.

openCC (other)Jan 2020View details →
zenodo44/100

Data set for the article "Tides, topography, and seagrass cover controls on the spatial distribution of Pinna nobilis on a coastal lagoon tidal flat"

<p>Data set includes:&nbsp;coordinates of the GNSS points (reference system WGS84 UTM33N);&nbsp;density of P. nobilis&nbsp;and cover of C.nodosa&nbsp;detected in the orthophoto in the 25m<sup>2</sup> cells;&nbsp;tidal levels measured (and, for comparison, simulated with the hydrodynamic model) corrected with respect to the IGM datum; number of emersions and flood duration for different levels of the tidal flat; statistics. The first Excel sheet includes a detailed description of the data.</p>

opencc-by-4.0May 2021View details →
zenodo44/100

M2 internal tide modal energy terms from a global HYCOM simulation

<p>This data set contains modal energy terms from a forward global HYCOM&nbsp;simulation (22.1) with realistic tide and atmospheric forcing as discussed in&nbsp;<a href="https://doi.org/10.1016/j.ocemod.2020.101656">https://doi.org/10.1016/j.ocemod.2020.101656</a>&nbsp;(On the interplay between horizontal resolution and wave drag and their effect on tidal baroclinic mode waves in realistic global ocean simulations, 2020,&nbsp;MC Buijsman, GR Stephenson, JK Ansong, BK Arbic, JAM Green, ... Ocean Modelling 152, 101656). <strong>Please cite this article when using these data.&nbsp;</strong></p> <p>This is a 4-km simulation with 41 layers. All data is on the native tripole grid. Data is stored as netcdf4 classic. The 2D data sets are&nbsp;7055 x 9000 (lat x lon).</p> <p>The data set contains</p> <ol> <li>The time-mean and depth-integrated M2 mode 1-5 energy terms: x (eastward) and y (northward) fluxes, KE, APE, conversion, flux divergence, and the intermodal energy conversion (topographic mode coupling) term. The terms are computed for a two-week time series starting on GMT 01-Sep-2016 01:00:00. For details see the paper.</li> <li>Positive seafloor depth, and latitude and longitude coordinates</li> </ol> <p>The M2 mode-1 SSH of the same simulation can be found here: https://doi.org/10.5281/zenodo.5514226</p> <p><a href="https://sites.google.com/site/maartenbuijsman/">https://sites.google.com/site/maartenbuijsman/</a></p>

opencc-by-4.0Apr 2022View details →
zenodo44/100

WACCM-X simulation output in support of publication "Impact of upward propagating migrating diurnal and semidiurnal tides on the ionosphere-thermosphere seasonal variation"

<p>This dataset contains simulation output from the Whole Atmosphere Community Climate Model with thermosphere-ionosphere eXtension (WACCM-X) in support of the publication "Impact of upward propagating migrating diurnal and semidiurnal tides on the ionosphere-thermosphere seasonal variation". Data files include the simulation results for a five-member ensemble of free-running simulations, simulations without the upward propagating diurnal migrating tide (DW1), and simulations without the upward propagating semidiurnal migrating tide (SW2).&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo44/100

Migrating Tides in the Stratosphere from COSMIC Radio Occultation Data

<p>These analyses of the migrating tides in temperature, microwave refractivity, and geopotential in the Earth&rsquo;s stratosphere are analyzed using GPS radio occultation (RO) data obtained by the COSMIC&nbsp;constellation of six satellites in orbit planes separated by 30&deg; in ascending node. The tides are analyzed monthly, beginning with November 2006 and ending with December 2016. The radio occultation retrievals used as input to the analyses are obtained from the Climate Data Record v1 of the EUMETSAT Radio Occultation Meteorology Satellite Application Facility (ROM SAF; romsaf.org). The reference model that is used for the sake of comparison are the 3-, 6-, 9-, and 12-hr forecasts of the ERA-Interim reanalysis project.&nbsp;</p>

opencc-by-4.0Sep 2021View details →
edi44/100

DroughtNet: Establishing the International Drought Experiment at Cedar Creek tIDE (trait IDE): Aboveground Biomass

Droughts are forecast to become increasingly frequent and intense in many regions worldwide, likely impacting community structure, ecosystem functioning, and ecosystem services. The International Drought Experiment (IDE) is a coordinated, multi-site drought experiment requiring only a moderate investment of time and resources by investigators. This coordinated, distributed experiment will quantify the impacts of extreme drought across a wide range of terrestrial ecosystems based on a common experimental design and a comparable suite of measurements. We aim to establish two stand-alone experiments following the IDE design at Cedar Creek. Precipitation reduction shelters will be established during spring 2017 to simulate a 1 in 100 year dry event, which at our site corresponds to removing 43% of annual precipitation. The tIDE (trait IDE) study will be established in e248 plots in the Big Biodiversity experiment field. The three precipitation treatments described above will be applied at the subplot level and fully crossed with the two current irrigation treatments (ambient or ambient plus ~2 cm per week of irrigation) and with two of the current fertilization treatments (unamended or 14 g N m-2), with six true replicate plots for each of the 12 treatment combinations, for a total of 72 subplots. Standard measurements across these two experiments and all other DroughtNet sites will include peak aboveground biomass clipping, soil carbon and nitrogen content, plant community composition from % cover, plant traits, and meteorological measurements (daily precipitation, air temperature). Many sites will also measure light availability, root biomass, soil moisture, and decomposition rates of tea bags and tongue depressors. Pre-treatment data will be collected during 2016. The experiment is expected to have minimal impacts on Cedar Creek and on other projects.

openCC0Feb 2024View details →
edi44/100

DroughtNet: Establishing the International Drought Experiment at Cedar Creek tIDE (trait IDE): Percent Cover

Droughts are forecast to become increasingly frequent and intense in many regions worldwide, likely impacting community structure, ecosystem functioning, and ecosystem services. The International Drought Experiment (IDE) is a coordinated, multi-site drought experiment requiring only a moderate investment of time and resources by investigators. This coordinated, distributed experiment will quantify the impacts of extreme drought across a wide range of terrestrial ecosystems based on a common experimental design and a comparable suite of measurements. We aim to establish two stand-alone experiments following the IDE design at Cedar Creek. Precipitation reduction shelters will be established during spring 2017 to simulate a 1 in 100 year dry event, which at our site corresponds to removing 43% of annual precipitation. The tIDE (trait IDE) study will be established in e248 plots in the Big Biodiversity experiment field. The three precipitation treatments described above will be applied at the subplot level and fully crossed with the two current irrigation treatments (ambient or ambient plus ~2 cm per week of irrigation) and with two of the current fertilization treatments (unamended or 14 g N m-2), with six true replicate plots for each of the 12 treatment combinations, for a total of 72 subplots. Standard measurements across these two experiments and all other DroughtNet sites will include peak aboveground biomass clipping, soil carbon and nitrogen content, plant community composition from % cover, plant traits, and meteorological measurements (daily precipitation, air temperature). Many sites will also measure light availability, root biomass, soil moisture, and decomposition rates of tea bags and tongue depressors. Pre-treatment data will be collected during 2016. The experiment is expected to have minimal impacts on Cedar Creek and on other projects.

openCC0Feb 2024View details →
edi44/100

PIE LTER Year 2016, 15 minute measurements of conductivity, water temperature at the Parker River head of tide, Central St. Dam in Newbury, MA.

Year 2016, continuous measurements, every 15 minutes were made of conductivity, water temperature in the Parker River behind the head of tide Central St. Dam in Newbury, MA.

openCC (other)Jan 2020View details →
edi44/100

PIE LTER Year 2017, 15 minute measurements of conductivity, water temperature at the Parker River head of tide, Central St. Dam in Newbury, MA.

Year 2017, continuous measurements, every 15 minutes were made of conductivity, water temperature in the Parker River behind the head of tide Central St. Dam in Newbury, MA.

openCC (other)Jan 2020View details →
edi44/100

PIE LTER Year 2018, 15 minute measurements of conductivity, water temperature at the Parker River head of tide, Central St. Dam in Newbury, MA.

Year 2018, continuous measurements, every 15 minutes were made of conductivity, water temperature in the Parker River behind the head of tide Central St. Dam in Newbury, MA. The datalogger was removed in August and returned to Dr. Green at Plymouth State University.

openCC (other)Jan 2020View details →
edi44/100

PIE LTER Year 2016, 15 minute measurements of conductivity, water temperature at the Ipswich River head of tide, Sylvania Dam in Ipswich, MA.

Year 2016, continuous measurements, every 15 minutes were made of conductivity, water temperature in the Ipswich River behind the head of tide Sylvania Dam in Ipswich, MA.

openCC (other)Jan 2020View details →
edi44/100

PIE LTER Year 2016, 15 minute measurements of dissolved oxygen, water temperature at the Ipswich River head of tide, Sylvania Dam in Ipswich, MA.

Year 2016, continuous measurements, every 15 minutes, were made of dissolved oxygen, water temperature in the Ipswich River behind the head of tide dam in Ipswich, MA.

openCC (other)Jan 2020View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record