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102 results for “water ice”

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zenodo36/100

A pronounced deep water cooling in the Indian Ocean during ~ 3.3 – 2.3 Ma linked to a major increase in Antarctic ice volume

<p><strong>Benthic foraminifera population abundance and stable isotope data from ODP Site 709. The dataset has been used to reconstruct the bottom water changes in the Indian ocean since 6.5 Ma.</strong></p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Data and Software for: Evidence for Water Ice in Lunar Permanently Shadowed Regions using neutrons, topography and temperature

<p>This archive contains both Data and Software archives that were used to develop and are described in the paper "Evidence for Widespread Hydrogen Sequestration within the&nbsp;Moon&rsquo;s South Polar Cold Traps"<strong>.&nbsp;&nbsp;</strong>The paper is accepted in the Planetary Science Journal (PSJ), designated AAS46467R3</p> <p>The archive is a tarr'ed and compressed file with a Data and Software subdirectories.</p> <p>Software directory contains several programs written in the Interactive Data Language v. 8.8.3</p> <p>Data directory contains figures and output that were derived for the publication, in several forms</p> <p>The software analyzes public domain lunar south polar neutron, topography and temperature observations to show evidence for water ice in permanently shadowed regions and the latitude extent of observed water ice to 77 deg S.&nbsp; &nbsp; Input data are provided by NASA's Planetary Data System (PDS).</p> <p>Keywords:&nbsp; LEND, Lunar, LRO, topography, water, hydrogen, south pole, permanently shadowed region, temperature</p> <p>&nbsp;</p> <p>&nbsp;</p>

opennasa1.3Oct 2023View details →
zenodo36/100

trajectory 61 ice nucleus in supercooled water tip4p/ice

<p>Gromacs MD trajectories of the evolution of ice nuclei in supercooled water with the tip4p/ice model. Also included center of mass of the nucleus (length units in nm) in long range corrections to the pressure (in bar).</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

trajectory 53 ice nucleus in supercooled water tip4p/ice

<p>Gromacs MD trajectories&nbsp;of the&nbsp;evolution of&nbsp;ice nuclei&nbsp;in supercooled water with the&nbsp;tip4p/ice model. Also included center of mass of the nucleus (length units in nm) in long range corrections to the pressure (in bar).&nbsp;</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

trajectory 65 ice nucleus in supercooled water tip4p/ice

<p>Gromacs MD trajectories&nbsp;of the&nbsp;evolution of&nbsp;ice nuclei&nbsp;in supercooled water with the&nbsp;tip4p/ice model. Also included center of mass of the nucleus (length units in nm) in long range corrections to the pressure (in bar).&nbsp;<br> &nbsp;</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

trajectory 67 ice nucleus in supercooled water tip4p/ice

<p>Gromacs MD trajectories of the evolution of ice nuclei in supercooled water with the tip4p/ice model. Also included center of mass of the nucleus (length units in nm) in long range corrections to the pressure (in bar).</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

trajectory 72 ice nucleus in supercooled water tip4p/ice

<p>Gromacs MD trajectories&nbsp;of the&nbsp;evolution of&nbsp;ice nuclei&nbsp;in supercooled water with the&nbsp;tip4p/ice model. Also included center of mass of the nucleus (length units in nm) in long range corrections to the pressure (in bar).&nbsp;<br> &nbsp;</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Data for "Gullies on Mars could have formed by melting of water ice during periods of high obliquity."

<p>Code, movies and climate model outputs for &quot;Gullies on Mars could have formed by melting of water ice during periods of high obliquity&quot; by Dickson et al.&nbsp;Science, 2023.</p>

opencc-by-4.0May 2023View details →
zenodo36/100

NEEM seasonal dO18 data for "Climate information preserved in seasonal water isotope at NEEM: relationships with temperature, circulation and sea ice"

<p>NEEM seasonal dO18 data over the period 1855-2004.</p> <p><strong>Please cite the following reference when using the data:</strong></p> <p>Zheng, M., Sjolte, J., Adolphi, F., Vinther, B. M., Steen-Larsen, H. C., Popp, T. J., and Muscheler, R.: Climate information preserved in seasonal water isotope at NEEM: relationships with temperature, circulation and sea ice, Climate of the Past, 14, 1067-1078, <a href="https://doi.org/10.5194/cp-14-1067-2018">https://doi.org/10.5194/cp-14-1067-2018</a>, 2018.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2021View details →
dryad36/100

Past intrusion of circumpolar deep water in the Ross Sea: Impacts on the ancient Ross Ice Shelf

Open the record for dataset details and reuse information.

publicMay 2025View details →
edi36/100

North Temperate Lakes site, station Allequash Lake, study of time in a year that a body of water is free of ice in units of days on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains time in a year that a body of water is free of ice measurements in days units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Big Muskellunge Lake, study of time in a year that a body of water is free of ice in units of days on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains time in a year that a body of water is free of ice measurements in days units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Bog 27-2 (Crystal Bog), study of time in a year that a body of water is free of ice in units of days on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains time in a year that a body of water is free of ice measurements in days units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Crystal Lake, study of time in a year that a body of water is free of ice in units of days on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains time in a year that a body of water is free of ice measurements in days units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Sparkling Lake, study of time in a year that a body of water is free of ice in units of days on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains time in a year that a body of water is free of ice measurements in days units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Bog 12-15 (Trout Bog), study of time in a year that a body of water is free of ice in units of days on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains time in a year that a body of water is free of ice measurements in days units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Trout Lake, study of time in a year that a body of water is free of ice in units of days on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains time in a year that a body of water is free of ice measurements in days units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
zenodo32/100

Data in support of manuscript submitted to JGR-Planets "Strong variability of Martian water ice clouds during dust storms revealed from ExoMars Trace Gas Orbiter/NOMAD"

<p>These files contain data underlying figures&nbsp;for the submission version of:</p> <p>Strong variability of Martian water ice clouds during dust storms revealed from ExoMars Trace Gas Orbiter/NOMAD</p> <p>which was submitted to JGR: Planets for review.&nbsp;</p> <p>The access to the dataset will be closed until the final version of the paper is accepted.</p>

opencc-by-4.0Feb 2020View details →
zenodo32/100

Modelling plastic concentrations in sea ice and the water column

<p>Results for the last year of a 50-year simulation of the dispersion of plastics in the global ocean using the NEMO modelling framework in configuration ORCA1-LIM2. These are NetCDF. Variable names are largely self-explanatory. PLASTIC_1 to PLASTIC_3 refer to buoyant, neutrally boyant and non-buoyant plastic concentrations in water; plt1 to plt3 are the corresponding concentrations in sea ice. Data for years 1-to-49 will be made available by the authors upon request.</p>

opencc-by-4.0Sep 2020View details →
zenodo32/100

Data and codes for figures in "Open water in sea ice causes high bias in polar low-level clouds in GFDL CM4"

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2023View details →

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Allen Brain Atlas

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
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abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
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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