Find research datasets worth reusing

opencc-by-4.0Nov 2020View details →

Large-eddy simulation investigating the role of double-diffusive convection in basal melting of Antarctic ice shelves: model output

Model output used in the publication: M. G. Rosevear, B. Gayen, B. K. Galton-Fenzi, The role of double-diffusive convection in the basal melting of Antarctic ice shelves. Proc. Natl. Acad. Sci. (2021) https://doi.org/10.1073/pnas.207541118 See README.md for a description of the data.

opencc-by-4.0Sep 2018View details →

Data and code used in manuscript: Basal freeze-on generates complex ice-sheet stratigraphy

Mapped plumes location obtained from ice-sheet radio echo sounding data of North Greenland (https://data.cresis.ku.edu/data/rds/ for 2010-2014_Greenland files) and map of calculated freeze-on index are found in 'FreezeOnIndex_MappedPlume_Data.nc'. Model code of the three models used to obtain the findings shown in the manuscript 'Basal freeze-on generates complex ice-sheet stratigraphy'. As well as code to calculate the freeze-on index.

opencc-by-4.0Jul 2021View details →

Ensemble of ice shelf basal melt rates and ocean properties for tipped-over continental shelves

Summary: This dataset contains the reference and tipped states from several model configurations developed at the <a href="https://www.awi.de/en/">Alfred Wegener Institute (AWI)</a> and the <a href="https://www.ige-grenoble.fr/?lang=en">Institut des Géosciences de l’Environnement (IGE)</a>. They were gathered here in the context of the <a href="https://www.tipaccs.eu">TiPACCs European project</a> and constitute a useful ensemble of reference and tipped ocean–ice-shelf simulations that can be used to feed ice-sheet simulations or to train melt parameterizations. The simulations produced by AWI are based on the <a href="https://fesom.de">FESOM</a> global ocean–sea-ice model using either Z- or Sigma- coordinates and all show a cold-to-warm tipping point for Filchner-Ronne Ice Shelf. The two sets of simulations produced by IGE are based on the <a href="https://www.nemo-ocean.eu">NEMO</a> ocean–sea-ice model. They include a global configuration showing a cold-to-warm tipping point for Ross Ice Shelf, and regional Amundsen Sea configuration showing a warm-to-warmer transition (likely not a proper tipping point).  The files include 3-dimensional and sea-floor ocean temperatures and salinities, ice-shelf melt rates, as well as topographic and grid data. All variables are interpolated onto the common 8km stereographic grid that was used to provide ocean forcing in ISMIP6 (<a href="https://doi.org/10.5194/tc-14-2331-2020">Nowicki et al. 2020</a>). We provide the reference state and the anomaly, so that the tipped state is: <ul> <li>Tipped = Reference + Anomaly</li> </ul> To have an overview of the reference and tipped states, have a look at these figures: <ul> <li>figure_ref_and_anomalies_1.pdf</li> <li> figure_ref_and_anomalies_2.pdf </li> <li> figure_seafloor_temp_zooms.pdf </li> </ul>   _______________________________________________ Detailed Data Description:   <ul> <li>reference_high_FESOM_sigma_AWI_TiPACCs.nc <ul> <li>contact: Ralph Timmermann <a href="mailto:ralph.timmermann@awi.de">ralph.timmermann@awi.de</a>, Verena Haid <a href="mailto:verena.haid@awi.de">verena.haid@awi.de</a></li> <li>model: FESOM1.4, sigma-coordinates (global with refined grid around Antarctica)</li> <li>atmospheric forcing: HadCM3 20C</li> <li>provided average: 1990-1999 (10-year mean)</li> <li>more: <a href="https://doi.org/10.1007/s10236-013-0642-0">Timmermann and Hellmer (2013)</a></li> </ul> </li> </ul>   <ul> <li>reference_low_FESOM_sigma_AWI_TiPACCs.nc <ul> <li>contact: Ralph Timmermann <a href="mailto:ralph.timmermann@awi.de">ralph.timmermann@awi.de</a>, Verena Haid <a href="mailto:verena.haid@awi.de">verena.haid@awi.de</a></li> <li>model: FESOM1.4, sigma-coordinates (global with refined grid around Antarctica)</li> <li>atmospheric forcing: HadCM3 20C</li> <li>provided average: 1990-1999 (10-year mean)</li> <li>more: <a href="https://doi.org/10.5194/os-13-765-2017">Timmermann and Goeller (2017)</a></li> </ul> </li> </ul>   <ul> <li>reference_FESOM_z_AWI_TiPACCs.nc <ul> <li>contact: Verena Haid <a href="mailto:verena.haid@awi.de">verena.haid@awi.de</a></li> <li>model: FESOM1.4, Z-coordinates (global with refined grid around Antarctica)</li> <li>atmospheric forcing: ERA Interim</li> <li>provided average: 2008-2017 (10-year mean), i.e. model year 30-39</li> <li>more: same mesh as <a href="https://doi.org/10.5194/tc-13-2317-2019">Gürses et al. (2019)</a></li> </ul> </li> </ul>   <ul> <li>reference_NEMO4_eORCA025.L121_IGE_TiPACCs.nc <ul> <li>contact: Pierre Mathiot <a href="mailto:pierre.mathiot@univ-grenoble-alpes.fr">pierre.mathiot@univ-grenoble-alpes.fr</a></li> <li>model: NEMO-4.0, eORCA025.L121 (Global, 1/4°, 121 vertical levels)</li> <li>atmospheric forcing: JRA55do</li> <li>provided average: 2nd cycle of 1989-1998 (10-year mean); we first run 1979-2018, and we redo 1979-1998 starting from the 2018 state.</li> <li>more: <a href="https://pmathiot.github.io/NEMOCFG/docs/build/html/simu_eORCA025_OPM021.html">https://pmathiot.github.io/NEMOCFG/docs/build/html/simu_eORCA025_OPM021.html</a></li> </ul> </li> </ul>   <ul> <li>reference_NEMO3_AMUXL12.L75_IGE_TiPACCs.nc <ul> <li>contact: Nicolas Jourdain <a href="mailto:nicolas.jourdain@univ-grenoble-alpes.fr">nicolas.jourdain@univ-grenoble-alpes.fr</a></li> <li>model: NEMO-3.6, AMUXL12.L75 (Amundsen, 1/12°, 75 vertical levels)</li> <li>atmospheric forcing: MAR (<a href="https://doi.org/10.5194/tc-14-229-2020">Donat-Magnin et al. 2020</a>)</li> <li>provided average: 1989-2009 (21-year mean)</li> <li>more: similar model set-up as <a href="https://doi.org/10.1016/j.ocemod.2018.11.001">Jourdain et al. (2019)</a>.</li> </ul> </li> </ul>   <ul> <li>anomaly_high_FESOM_sigma_AWI_TiPACCs.nc <ul> <li>continuation of reference_high_FESOM_sigma_AWI_TiPACCs.nc</li> <li>forced with HadCM3 A1B</li> <li>provided average: 2190-2199 (10-year mean)</li> </ul> </li> </ul>   <ul> <li>anomaly_low_FESOM_sigma_AWI_TiPACCs.nc <ul> <li>continuation of reference_low_FESOM_sigma_AWI_TiPACCs.nc</li> <li>forced with HadCM3 A1B</li> <li>provided average: 2190-2199 (10-year mean)</li> </ul> </li> </ul>   <ul> <li>anomaly_high_FESOM_z_AWI_TiPACCs.nc <ul> <li>same model set-up as reference_FESOM_z_AWI_TiPACCs.nc</li> <li>atmospheric forcing south of 60°S HadCM3 A1B starting 2050, otherwise ERA Interim starting 1979</li> <li>provided average: model year 69-78 (10-year mean), i.e. 2008-2017 of 2nd 39yr-cycle</li> </ul> </li> </ul>   <ul> <li>anomaly_medium_FESOM_z_AWI_TiPACCs.nc <ul> <li>same model set-up as reference_FESOM_z_AWI_TiPACCs.nc</li> <li>atmospheric forcing: ERA Interim modified with a strong imprint of the seasonal cycle of HadCM3 A1B 2070-2089</li> <li>provided average: model year 69-78 (10-year mean), i.e. 2008-2017 of 2nd 39yr-cycle</li> </ul> </li> </ul>   <ul> <li>anomaly_low_FESOM_z_AWI_TiPACCs.nc <ul> <li>same model set-up as reference_FESOM_z_AWI_TiPACCs.nc</li> <li>atmospheric forcing: manipulated ERA Interim with prolongued summer and shorter, milder winter south of 50°S, additional modification of winds in Weddell Sea region</li> <li>provided average: model year 108-117 (10-year mean), i.e. 2008-2017 of 3rd 39yr-cycle</li> </ul> </li> </ul>   <ul> <li>anomaly_NEMO4_eORCA025.L121_IGE_TiPACCs.nc <ul> <li>similar to reference_NEMO4_eORCA025.L121_IGE_TiPACCs.nc</li> <li>perturbation of the model parameters: Different iceberg distribution and different sea-ice–ocean drag and snow conductivity on sea-ice, leading to less sea-ice production in the eastern Ross Sea.</li> <li>More: <a href="https://pmathiot.github.io/NEMOCFG/docs/build/html/simu_eORCA025_OPM020.html">https://pmathiot.github.io/NEMOCFG/docs/build/html/simu_eORCA025_OPM020.html</a></li> </ul> </li> </ul>   <ul> <li>anomaly_NEMO3_AMUXL12.L75_IGE_TiPACCs.nc <ul> <li>similar to reference_NEMO3_AMUXL12.L75_IGE_TiPACCs.nc</li> <li>perturbation of atmospheric forcing: MAR forced by the CMIP5 multi-model anomaly under the RCP8.5 scenario (<a href="https://doi.org/10.5194/tc-15-571-2021">Donat-Magnin et al. 2021</a>).</li> <li>provided average: 2080-2100 (21-year average)</li> </ul> </li> </ul>

opencc-by-4.0Sep 2023View details →

Saskatchewan Glacier Basal Icequake Event Repository

EPSL-D-23-00491 REV1 Repository Supplementary repository for manuscript: Stevens, N.T., Zoet, L.K., Hansen, D.D., Alley, R.B., Roland, C.J., Schwans, E., and Shepherd, C.S. (In Review) Icequake insights on transient glacier slip mechanics near channelized subglacial drainage. Earth Planet. Sci. Lett. This repository contains data and metadata for interested parties to reproduce seismic event analyses for 21915 events classified as basal icequakes recorded between August 1st and 19th 2019 at Saskatchewan Glacier, Alberta, Canada.

openOpenAug 2021View details →

SGS-LTER Ecosystem Stress Area - long-term point-frame (percent basal cover) dataset following nutrient enrichment stress on the Central Plains Experimental Range in Nunn, Colorado, USA 1982-2011, ARS Study Number 3 (Reformatted to the ecocomDP Design Pattern)

This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/521/7. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Water, nitrogen, and water-plus-nitrogen at levels beyond the range normally experience by shortgrass steppe communities were applied from 1971 through 1975, plant densities were sampled through 1977, and then sampling resumed in 1982, with sampling frequencies changing from annually to every other year. The initial sampling from 1970 to 1974 showed that the water and water plus nitrogen treatments had the strongest effect on plant community structure, both treatments increased biomass, and exotic weed species were noted on the water plus nitrogen treatment. Later sampling from 1982 to 1991 showed a ten-fold increase in exotic weed species on the water plus nitrogen plots as compared to the controls (Milchunas and Lauenroth 1995), a community change that has persisted on this site due to a chronic elevation of soil nitrogen caused by a plant tissue/soil organic matter feedback mec

openCC (other)Jul 2019View details →

Stable carbon and oxygen isotopes in tree rings and basal area increment from mature temperate forests within the AmeriFlux network.

Data were used to investigate long-term changes in tree intrinsic water use efficiency (iWUE, i.e., the ratio between CO2 assimilation and stomatal conductance) and the underlying physiological mechanisms. We used delta18O to estimate the 18O enrichment in leaf water above the source water, Delta18OLW. Moreover we assessed the relationship between isotope-derived parameters and atmospheric CO2 (ca) and climate factors. Isotope-related parameters included in the dataset are: alpha-cellulose delta13C, carbon isotope discrimination (Delta13C), intercellular CO2 concentration (ci) and the ratio of intercellular to atmospheric CO2 concentrations (ci/ca), alpha-cellulose delta18O, estimated delta18O in precipitation (see Method), oxygen isotope discrimination above the source water (Delta18O). The dataset includes also the following climate parameters: growing season temperature (Tgrs), precipitation (Pgrs) and vapor pressure deficit (VPDgrs) and mean annual temperature (Ta), precipitation (Pa) and vapor pressure deficit (VPDa), and standard precipitation-evaporation index relative to August, with 3 months lag (SPEI8_3) from the global database. Finally, we also include the ca values that were used to calculate delta13C, iWUE and ci/ca. All the equations used to calculate the isotope-derived parameters, including the leaf water Delta18O (see Figure 3 in Guerrieri et al. 2019 PNAS) are also provided.

openOpenMay 2023View details →

Pre and post-fire composition, density, basal area, and biomass for 212 sites that burned between 2004 and 2015 in Interior Alaska

We collated data on pre-fire and post-fire stand composition from 212 sites across interior Alaska that burned between the years 2004 and 2014.

openCC (other)Jan 2020View details →

Forest survey of species richness and basal area for two tidal forest plots at GCE 11 on the Altamaha River in Southeast Georgia in December 2013

We established two 0.1-ha plots in the Site 11 tidal forest in December 2013 to monitor forest composition. In each plot, we identified the species and measured DBH (diameter at breast height) of every tree using standard diameter tapes. We also used the DBH measurements to calculate the basal area of each tree.

zenodo44/100

joemacgregor/GBaTSv2: Greenland Ice Sheet Likely Basal Thermal State version 2 [dataset+code] FINAL

Greenland Ice Sheet Likely Basal Thermal State version 2, FINAL dataset+code to be published in The Cryosphere (tc-2022-40)

openother-openJul 2022View details →

zenodo44/100

GEOLAB-PEBSTER-Deltares: Small-scale experiments on Piled Embankments with Basal Steel Mesh Reinforcement - Measurements.

DOI: 10.5281/zenodo.12627309 <h1>Small-scale experiments on basal steel-mesh reinforced piled embankments (PEBSTER, a transnational access project of GEOLAB)</h1> Welcome to the GEOLAB-PEBSTER-Deltares project on Zenodo! This repository contains the measurement data from four small-scale experiments on Piled Embankments with Basal Steel Reinforcement (PEBSTER). Pile-supported (PS) embankments with basal geosynthetic reinforcement (GR) are commonly built in soft soil areas (van Eekelen and Han, 2020). Steel mesh reinforcement (SR) is particularly appealing for high embankments (Topolnicki et al., 2019). Its high axial stiffness, compared to geosynthetics, reduces horizontal deformation at the embankment base, minimizes bending moments in the piles, and ultimately enhances embankment stability. <h2>PEBSTER</h2> This dataset includes measurements from four small-scale tests on steel-reinforced piled embankments, conducted in the Deltares laboratory (van Eekelen et al., 2024a,b). These tests are part of a broader research initiative called Piled Embankments with Basal Steel Reinforcement (PEBSTER), which also includes a large-scale test (Schneider et al., 2024a,b). The small-scale tests were conducted at Deltares, Delft, Netherlands, while the large-scale test was conducted in Darmstadt, Germany, at the Institute of Geotechnics, Technical University of Darmstadt. <h2>GEOLAB</h2> GEOLAB is a project of the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 101006512, addressing Europe's Critical Infrastructure (CI) challenges in the water, energy, urban, and transport sectors. The GEOLAB Research Infrastructure (RI) consists of 11 unique installations across Europe to study subsurface behavior and its interaction with structural CI elements and the environment. During the GEOLAB Transnational Access (TA), users outside the consortium gained access to the GEOLAB installations to perform research and innovation. <h2>Dataset of four small-scale experiments</h2> Here, we share the measurement data from the small-scale experiments that were part of one of the GEOLAB TA projects: PEBSTER. Four piles (diameter 0.1 m, centre to centre 0.55m) passed through a steel plate, that supported a foam cushion, that was sealed and soaked. A tap allowed for drainage of the foam cushion, simulating the consolidation of the subsoil between the piles. The 0.55 m high embankment consisted of medium coarse sand, and was reinforced at its base with a steel mesh reinforcement. A surcharge load up to 100 kPa was applied with a water cushion. The load distribution is measured by pressure cells and load transducers. Soil strains and displacements were monitored at five elevations within the fill, utilizing distributed fibre optic sensing (DFOS) technology from the Nerve-Sensors family, as depicted in Figure 2. Additionally, the steel mesh reinforcement was extensively instrumented with optic fibres. <h2>PEBSTER Research group</h2> The project was conducted by a research group that includes Deltares, Netherlands, the Institute of Geotechnics of the Technical University of Darmstadt, Germany, Keller (Germany, France, Poland), SHM System, Poland, and FOLAB, Germany.

opencc-by-4.0Jul 2024View details →

openOpenAug 2021View details →

SGS-LTER Ecosystem Stress Area - long-term point-frame (percent basal cover) dataset following nutrient enrichment stress on the Central Plains Experimental Range in Nunn, Colorado, USA 1982-2011, ARS Study Number 3 (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/331/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/521/7. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Water, nitrogen, and water-plus-nitrogen at levels beyond the range normally experience by shortgrass steppe communities were applied from 1971 through 1975, plant densities were sampled through 1977, and then sampling resumed in 1982, with sampling frequencies changing from annually to every other year. The initial sampling from 1970 to 1974 showed that the water and water plus nitrogen treatments had the strongest effect on plant community structure, both treatments increased biomass, and exotic weed species were noted on the water plus nitrogen treatment. Later sampling from 1982 to 1991 showed a ten-fold increase in exotic weed species on the water plus nitrogen plots as compared to the controls (Milchunas and Lauenroth 1995), a community change that has persiste

openOpenNov 2009View details →

White Spruce NPP: Tree density and basal area by diameter sizeclass in upland and floodplain mid- and late-successional stands: 1989-2008

This data set is derived from BNZ LTER inventory plots. Stand density and basal area are listed by diameter size class of live white spruce trees for each replicate stand within mid-successional and mature white spruce stands within both floodplain and upland landscapes by year from 1989-2008.

openOpenDec 2009View details →

Aspen NPP: Tree density and basal area by diameter sizeclass in upland mid- and late-successional stands: 1989-2008

This data set is derived from BNZ LTER inventory plots. Stand density and basal area are listed by diameter size class of live aspen trees for each replicate stand within mid-successional upland landscapes by year from 1989-2008.

openOpenDec 2009View details →

Birch NPP: Tree density and basal area by diameter sizeclass in upland and flooplain mid- and late-successional stands: 1989-2008

This data set is derived from BNZ LTER inventory plots. Stand density and basal area are listed by diameter size class of live Alaskan paper birch trees for each replicate stand within mid- and late- successional upland upland and landscapes by year from 1989-2008.

openOpenDec 2009View details →

Balsam Poplar NPP: Tree density and basal area by diameter sizeclass in upland and flooplain mid- and late-successional stands: 1989-2008

This data set is derived from BNZ LTER inventory plots. Stand density and basal area are listed by diameter size class of live balsam poplar trees for each replicate stand within mid- and late-successional upland and floodplain landscapes by year from 1989-2008.

openOpenDec 2015View details →

Post-fire succession in Delta Junction burns: Measurements of pre-fire stand basal area in 1987, 1990, 1994 and 1999 burns

This dataset contains measurements of pre-fire stand basal area taken during summer 2008 in 4 burns located near Delta Junction (1987, 1994, 1999) and Tok (1990). These data can be found in Shenoy et al. 2011.

openOpenMar 2016View details →

Post-fire succession in 1994 Hajdukovich Creek Burn: measurements of average basal area increment for the years 2000-2010 for aspen and spruce

This dataset contains measurements of average basal area increment from 2000-2010 in aspen and spruce individuals regenerating in the 1994 Hajdukovich Creek burn.

openOpenSep 2003View details →

Tree regeneration after fire: Delta 1994 burn surveys, pre-fire stem counts and basal areas, for species other than black spruce

Data for this study were collected in 2001 and 2002 by Jill Johnstone (University of Alaska Fairbanks) and Eric Kasischke (University of Maryland). Sites were located within the perimeter of the 1994 burn southeast of Delta Junction Alaska, USA, bordering the Alaska Highway to the North and the Gerstle River to the West. Sites were selected from satellite classifications prepared by Eric Kasischke to represent different levels of burn severity and post-fire vegetation canopy greenness (NDVI). Site selection was constrained by road access, and only areas where all trees had been killed by the fire were selected. At each site, a central point was located in an area of visually homogeneous vegetation. Five parallel transects, each 50 m long, were laid out as follows: 1) the first transect started at the central point and followed a randomly-selected compass direction, 2) two additional transects were established parallel to the first, but at a random distance from the central transect up to 25 m distant. Vegetation was sampled in a 2-m wide belt centered on each transect, and soil samples were made at intervals along the transect line. Vegetation measurements included: a) basal diameters of all pre-fire trees greater than 1.3 m in height, b) counts of all post-fire tree seedlings, and c) basal diameters of tree seedlings and willows, measured in a randomly chosen 5x2 m portion of each transect. General notes were made on visual percent cover of different vegetation growth forms at the site. Destructive measurements of tree seedlings and willows made in 2001 were used to develop allometric equations to predict dry biomass from basal diameter. Measurements of soil organic layer depth were made at 5 m intervals with the use of a spade to excavate small chunks of sod. At one randomly-selected sample point per transect, a 10x10 cm sample of the organic layer was collected for bulk density measurements. Bulk density samples were dried in a 60degC oven for 48 hours and then w