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Using the NASA EOSDIS Common Metadata Repository

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  • 'Latent reserves' within the Swiss NFI

    https://cmr.earthdata.nasa.gov/search/concepts/C2789815280-ENVIDAT.xml
    Description:

    The files refer to the data used in Portier et al. "‘Latent reserves’: a hidden treasure in National Forest Inventories" (2020) *Journal of Ecology*. **'Latent reserves'** are defined as plots in National Forest Inventories (NFI) that have been free of human influence for >40 to >70 years. They can be used to investigate and acquire a deeper understanding of attributes and processes of near-natural forests using existing long-term data. To determine which NFI sample plots could be considered ‘latent reserves’, criteria were defined based on the information available in the Swiss NFI database: * Shrub forests were excluded. * Plots must have been free of any kind of management, including salvage logging or sanitary cuts, for a minimum amount of time. Thresholds of 40, 50, 60 and 70 years without intervention were tested. * To ensure that species composition was not influenced by past management, plots where potential vegetation was classified as deciduous by Ellenberg & Klötzli (1972) had to have an observed proportion of deciduous trees matching the theoretical proportion expected in a natural deciduous forest, as defined by Kienast, Brzeziecki, & Wildi (1994). * Plots had to originate from natural regeneration. * Intensive livestock grazing must never have occurred on the plots. The tables stored here were derived from the first, second and third campaigns of the Swiss NFI. The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php). **** The files 'Data figure 2' to 'Data figure 8' are publicly available and contain the data used to produce the figures published in the paper. The files 'Plot-level data for characterisation of 'latent reserves' and 'Tree-level data for characterisation of 'latent reserves' contain all the data required to reproduce the section of the article concerning the characterisation of 'latent reserves' and the comparison to managed forests. The file 'Data for mortality analyses' contains the data required to reproduce the section of the article concerning tree mortality in 'latent reserves'. The access to these three files is restricted as they contain some raw data from the Swiss NFI, submitted to the Swiss law and only accessible upon contractual agreement.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 45.81802 5.95587 47.80838 10.49203
    Polygon: 45.81802 10.49203 47.80838 10.49203 47.80838 5.95587 45.81802 5.95587 45.81802 10.49203

    ENVIDAT Short Name: latent-reserves-in-the-swiss-nfi Version ID: 1.0 Unique ID: C2789815280-ENVIDAT

  • 0.5 hour 1 M HCl extraction data for the Windmill Islands marine sediments

    https://cmr.earthdata.nasa.gov/search/concepts/C1214305813-AU_AADC.xml
    Description:

    These results are for the 0.5 hour extraction of HCl. See also the metadata records for the 4 hour extraction of HCl, and the time trial data for 1 M HCl extractions. A regional survey of potential contaminants in marine or estuarine sediments is often one of the first steps in a post-disturbance environmental impact assessment. Of the many different chemical extraction or digestion procedures that have been proposed to quantify metal contamination, partial acid extractions are probably the best overall compromise between selectivity, sensitivity, precision, cost and expediency. The extent to which measured metal concentrations relate to the anthropogenic fraction that is bioavailable is contentious, but is one of the desired outcomes of an assessment or prediction of biological impact. As part of a regional survey of metal contamination associated with Australia's past waste management activities in Antarctica, we wanted to identify an acid type and extraction protocol that would allow a reasonable definition of the anthropogenic bioavailable fraction for a large number of samples. From a kinetic study of the 1 M HCl extraction of two certified Certified Reference Materials (MESS-2 and PACS-2) and two Antarctic marine sediments, we concluded that a 4 hour extraction time allows the equilibrium dissolution of relatively labile metal contaminants, but does not favour the extraction of natural geogenic metals. In a regional survey of 88 marine samples from the Casey Station area of East Antarctica, the 4 h extraction procedure correlated best with biological data, and most clearly identified those sediments thought to be contaminated by runoff from abandoned waste disposal sites. Most importantly the 4 hour extraction provided better definition of the low to moderately contaminated locations by picking up small differences in anthropogenic metal concentrations. For the purposes of inter-regional comparison, we recommend a 4 hour 1 M HCl acid extraction as a standard method for assessing metal contamination in Antarctica. The fields in this dataset are Location Site Replicate Antimony Arsenic Cadmium Chromium Copper Iron Lead Manganese Nickel Silver Tin Zinc

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -66 110 -66 110

    AU_AADC Short Name: ASAC_2201_HCL_0.5 Version ID: 1 Unique ID: C1214305813-AU_AADC

  • 10 Days Synthesis of SPOT VEGETATION Images (VGT-S10)

    https://cmr.earthdata.nasa.gov/search/concepts/C2207472890-FEDEO.xml
    Description:

    The VGT-S10 are near-global or continental, 10-daily composite images which are synthesised from the 'best available' observations registered in the course of every 'dekad' by the orbiting earth observation system SPOT-VEGETATION. The products provide data from all spectral bands (SWIR, NIR, RED, BLUE), the NDVI and auxiliary data on image acquisition parameters. The VEGETATION system allows operational and near real-time applications, at global, continental and regional scales, in very broad environmentally and socio-economically critical fields. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -56 -180 75 180

    FEDEO Short Name: urn:ogc:def:EOP:VITO:VGT_S10 Version ID: 1 Unique ID: C2207472890-FEDEO

  • 10 m firn temperature data: LGB traverses 1990-95

    https://cmr.earthdata.nasa.gov/search/concepts/C1214313574-AU_AADC.xml
    Description:

    The Lambert Glacier Basin (LGB) series of five oversnow traverses were conducted from 1989-95. Ten metre depth (10 m) firn temperatures, as a proxy indicator of annual mean surface temperature at a site, were recorded approximately every 30 km along the 2014 km main traverse route from LGB00 (68.6543 S, 61.1201 E) near Mawson Station, to LGB72 (69.9209 S, 76.4933 E) near Davis Station. 10 m depth firn temperatures were recorded manually in field notebooks and the data transferred to spreadsheet files (MS Excel). Summary data (30 km spatial resolution) can be obtained from CRC Research Note No.09 'Surface Mass Balance and Snow Surface Properties from the Lambert Glacier Basin Traverses 1990-94'. This work was completed as part of ASAC projects 3 and 2216. Some of this data have been stored in a very old format. The majority of files have been updated to current formats, but some files (kaleidograph files in particular) were not able to be modified due to a lack of appropriate software. However, these files are simply figures, and can be regenerated from the raw data (also provided). The fields in this dataset are: Latitutde Longitude Height Cane Distance Elevation Density Mass Accumulation Year Delta Oxygen-18 Grain Size Ice Crusts Depth Hoar

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -77 54 -69 78

    AU_AADC Short Name: LGB_10m_traverse Version ID: 1 Unique ID: C1214313574-AU_AADC

  • 10 year trend of levels of organochlorine pollutants in Antarctic seabirds

    https://cmr.earthdata.nasa.gov/search/concepts/C1214305884-AU_AADC.xml
    Description:

    Metadata record for data from ASAC Project 2357 See the link below for public details on this project. ---- Public Summary from Project ---- Contaminants like PCBs and DDE have hardly been used Antarctica. Hence, this is an excellent place to monitor global background levels of these organochlorines. In this project concentrations in penguins and petrels will be compared to 10 years ago, which will show time trends of global background contamination levels. Data set description From several birds from Hop Island, Rauer Islands near Davis, samples were collected from preenoil (oil that birds excrete to preen their feathers. This preenoil was then analysed for organochlorine pollutants like polychlorinated biphenyls, (PCBs), hexachlorobenzene (HCB), DDE and dieldrin. The species under investigation were the Adelie penguin (Pygoscelis adeliae) and the Southern Fulmar (Fulmarus glacialoides). The samples were collected from adult breeding birds, and stored in -20 degrees C as soon as possible. The analysis was done with relatively standard but very optimised methods, using a gas-chromatograph and mass-selective detection. Data sheets: The data are available in excel-sheets, located at Alterra, The Netherlands (the affiliation of the PI Nico van den Brink.). Data are available on PCB153 (polychlorinated biphenyl congener numbered 153), hexachlorobenzene (HCB), DDE (a metabolite of the pesticide DDT), and dieldrin (an insecticide). The metadata are in 4 sheets (in meta data 2357.xls): 1. 'Concentrations fulmars' 2. 'Morphometric data fulmars' 3. 'Concentrations Adelies' 4. 'Morphometric data Adelies' The column headings are: 1. 'Concentrations fulmars' - Fulmar: bird number, corresponds with sheet 'morphometric data fulmars'. - PCB153: concentration of PCB-congener 153 (ng/g lipids) - HCB: concentration of hexachlorobenzene (ng/g lipids) - DDE: concentration of DDE (ng/g lipids) - Dieldrin: concentration of dieldrin (ng/g lipids) - Sample size weight of collected amount of preenoil 2. Morphometric data fulmars - Fulmar: bird number, corresponds with sheet 'Concentrations fulmars'. - Bill Length (mm): length of bill (tip to base) - Head Length (mm): length of head (tip of bill to back of head) - Tarsus (mm): length of tarsus - Wing Length (cm): length of right wing - Weight (kg): weight of bird (without bag) 3. 'Concentrations Adelies' Adelie: bird number, corresponds with sheet 'morphometric data Adelies'. - PCB153: concentration of PCB-congener 153 (ng/g lipids) - HCB: concentration of hexachlorobenzene (ng/g lipids) - DDE: concentration of DDE (ng/g lipids) - Dieldrin: concentration of dieldrin (ng/g lipids) - Sample size weight of collected amount of preenoil 4. 'Morphometric data Adelies' - Adelie: bird number, corresponds with sheet 'Concentrations Adelies'. - Bill (mm): length of bill (tip to base) - Head Length (mm): length of head (tip of bill to back of head) - Tarsus (mm): length of tarsus - Flipper Length (cm): length of right flipper (wing) - Weight (kg): weight of bird (without bag) In sheets on concentrations: less than d.l.: concentrations below detection limits.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -68.93 77.59 -68.755 77.99

    AU_AADC Short Name: ASAC_2357 Version ID: 2 Unique ID: C1214305884-AU_AADC

  • 10-HS Pfynwald

    https://cmr.earthdata.nasa.gov/search/concepts/C2789815241-ENVIDAT.xml
    Description:

    Continuous measurement of soil water content at 10 and 80 cm depth (3 replications) with 10-HS soil moisture probes (Decagon Incorporation, Pullman, WA, USA). ### Purpose: ### Monitoring of the soil water matrix potential ### Paper Citation: ### * Dobbertin, M.; Eilmann, B.; Bleuler, P.; Giuggiola, A.; Graf Pannatier, E.; Landolt, W.; Schleppi, P.; Rigling, A., 2010: Effect of irrigation on needle morphology, shoot and stem growth in a drought-exposed Pinus sylvestris forest. Tree Physiology, 30, 3: 346-360. [doi: 10.1093/treephys/tpp123](http://doi.org/10.1093/treephys/tpp123)

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 46.30279 7.61211 46.30279 7.61211
    Point: 46.30279 7.61211

    ENVIDAT Short Name: envidat-lwf-34 Version ID: 2019-03-06 Unique ID: C2789815241-ENVIDAT

  • 12 Hourly Interpolated Surface Air Pressure from Buoys

    https://cmr.earthdata.nasa.gov/search/concepts/C1214600618-SCIOPS.xml
    Description:

    Optimally interpolated atmospheric surface pressure over the Arctic Ocean Basin. Temporal format - twice daily (0Z and 12Z) Spatial format - 2 degree latitude x 10 degree longitude - latitude: 70 N - 90 N - longitude: 0 E - 350 E

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 70 -180 90 180

    SCIOPS Short Name: 12_hourly_interpolated_surface_air_pressure_from_buoys Version ID: Not provided Unique ID: C1214600618-SCIOPS

  • 12,000 year record of sea spray and minerogenic input from Emerald Lake, Macquarie Island

    https://cmr.earthdata.nasa.gov/search/concepts/C2102891784-AU_AADC.xml
    Description:

    Reconstructed sea spray and minerogenic data for a 12,000 year lake sediment record from Emerald Lake, Macquarie Island. Proxies are based on biological (diatoms) and geochemical (micro x-ray fluorescence and hyperspectral imaging) indicators. Data correspond to the figures in: Saunders et al. 2018 Holocene dynamics of the Southern Hemisphere westerly winds and possible links to CO2 outgassing. Nature Geoscience 11:650-655. doi.org/10.1038/s41561-018-0186-5. Detailed supplementary information: https://static-content.springer.com/esm/art%3A10.1038%2Fs41561-018-0186-5/MediaObjects/41561_2018_186_MOESM1_ESM.pdf Abstract: The Southern Hemisphere westerly winds (SHW) play an important role in regulating the capacity of the Southern Ocean carbon sink. They modulate upwelling of carbon-rich deep water and, with sea ice, determine the ocean surface area available for air–sea gas exchange. Some models indicate that the current strengthening and poleward shift of these winds will weaken the carbon sink. If correct, centennial- to millennial-scale reconstructions of the SHW intensity should be linked with past changes in atmospheric CO2, temperature and sea ice. Here we present a 12,300-year reconstruction of wind strength based on three independent proxies that track inputs of sea-salt aerosols and minerogenic particles accumulating in lake sediments on sub-Antarctic Macquarie Island. Between about 12.1 thousand years ago (ka) and 11.2 ka, and since about 7 ka, the wind intensities were above their long-term mean and corresponded with increasing atmospheric CO2. Conversely, from about 11.2 to 7.2 ka, the wind intensities were below their long-term mean and corresponded with decreasing atmospheric CO2. These observations are consistent with model inferences of enhanced SHW contributing to the long-term outgassing of CO2 from the Southern Ocean.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -54.77772 158.77441 -54.4828 158.94951

    AU_AADC Short Name: AAS_4156_Macquarie_Island_Emerald_Lake Version ID: 1 Unique ID: C2102891784-AU_AADC

  • 12-Hourly Interpolated Surface Position from Buoys

    https://cmr.earthdata.nasa.gov/search/concepts/C1214600619-SCIOPS.xml
    Description:

    This data set contains Arctic Ocean daily buoy positions interpolated to hours 0Z and 12Z.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 60 -180 90 180

    SCIOPS Short Name: 12-hourly_interpolated_surface_position_from_buoys Version ID: Not provided Unique ID: C1214600619-SCIOPS

  • 12-Hourly Interpolated Surface Velocity from Buoys

    https://cmr.earthdata.nasa.gov/search/concepts/C1214600621-SCIOPS.xml
    Description:

    This data set contains 12-hourly interpolated surface velocity data from buoys. Point grid: Latitude 74N to 90N - 4 degree increment Longitude 0E to 320E - 20 and 40 degree increment.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 74 -180 90 180

    SCIOPS Short Name: 12-hourly_interpolated_surface_velocity_from_buoys Version ID: Not provided Unique ID: C1214600621-SCIOPS