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  • Data  (65)
  • Other Sources  (336)
  • 2020-2024  (50)
  • 2020-2023  (2)
  • 2015-2019  (162)
  • 2010-2014  (186)
  • 1940-1944  (1)
Collection
Source
Keywords
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Years
Year
  • 1
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    Collection data of the new species Tedania (Tedaniopsis) rappi (Demospongiae, Poecilosclerida, Tedaniidae) (2020)
    PANGAEA
    Details
    Publication Date: 2023-02-24
    Description: We report the first records of the new species Tedania (Tedaniopsis) rappi (Demospongiae, Poecilosclerida, Tedaniidae) from the Orphan Seamount, between 2999.88 and 3449.629 m in depth.
    Keywords: Area/locality; Campaign; Code; Collection; Conductivity; DATE/TIME; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Depth, bottom/max; DEPTH, water; Device type; Discovery (2013); DY081; DY081_5; DY081_ROV327; Event label; Habitat; HUD2010-029; HUD2010-029_1340-3; Hudson; ICY-LAB; LATITUDE; LONGITUDE; Palancre; PAoM_1905_2183; Reference/source; Remote operated platform for oceanography; Remote operated vehicle; ROPOS; ROV; Salinity; San_Juan_Archipelago; Species; SponGES; Station label; Tartar_Strait; Temperature, water; Treatment; Type; Vessel
    Type: Dataset
    Format: text/tab-separated-values, 53 data points
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  • 2
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    United States Groundwater Chemistry - Dissolved Organic Carbon Model (2019)
    PANGAEA
    In:  Supplement to: McDonough, Liza K; Santos, Isaac R; Andersen, Martin; O'Carroll, Denis; Rutlidge, Helen; Meredith, Karina; Oudone, Phetdala; Baker, Andy (2018): Changes in global groundwater organic carbon driven by climate change and urbanization. EarthArXiv Preprints, 11 pp, https://doi.org/10.31223/osf.io/vmaku
    Details
    Publication Date: 2023-03-14
    Description: This data set is predominantly sourced from the National Water Quality Monitoring Council (https://www.waterqualitydata.us/portal) and contains water quality data for the United States as well as climate and other ancillary data. This data was used to develop a model to explain groundwater dissolved organic carbon concentrations in the manuscript "Changes in global groundwater organic carbon driven by climate change and urbanization". Units for variables are included in the file "Units for Variables". --- National Water Quality Monitoring Council water chemistry data (https://www.waterqualitydata.us/portal) was obtained from: Chapelle, F. H., Bradley, P. M., Journey, C. A., & McMahon, P. B. (2013). Assessing the Relative Bioavailability of DOC in Regional Groundwater Systems. Ground water 51(3), doi:10.1111/j.1745-6584.2012.00987.x. --- Water table depth data obtained from: Fan, Y., Li, H., & Miguez-Macho, G. (2013). Global patterns of groundwater table depth. Science, 339, 940–943, doi:10.1126/science.1229881. --- Climatic data obtained from www.worldclim.org: Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005). Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 1965-1978, doi:10.1002/joc.1276. --- Land use data obtained from: Channan, S., Collins, K., & Emanuel, W. R. (2014). Global mosaics of the standard MODIS land cover type data. University of Maryland and the Pacific Northwest National Laboratory, College Park, Maryland, USA. Retrieved from University of Maryland and the Pacific Northwest National Laboratory. - Friedl, M. A., Sulla-Menasche, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., & Huang, X. (n.d.). MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets, 2001-2012. Collection 5.1 IGBP Land Cover. Boston University, Boston, MA, USA.
    Keywords: Age, comment; Alabama; Area/locality; Arkansas; Arsenic; Calcium; California; Carbon, organic, dissolved; Chloride; Colorado; Conductivity, electrical; Connecticut; Continent; Country; Delaware; Depth, groundwater table; Depth, well; ELEVATION; Event label; Florida; Fluoride; Georgia; Idaho; Illinois; Indiana; Iowa; Iron; Kansas; Land use; LATITUDE; Lithology/composition/facies; LONGITUDE; Louisiana; Magnesium; Manganese; Maryland; Massachusetts; Michigan; Minnesota; Mississippi; Missouri; MULT; Multiple investigations; Nebraska; Nevada; New Hampshire; New Jersey; New Mexico; New York; North Carolina; North Dakota; Number; Ohio; Oklahoma; Oxygen, dissolved; Pennsylvania; pH; Potassium; Precipitation, annual mean; Precipitation, mean; Precipitation of the driest month; Precipitation of the wettest month; Ratio; Sample ID; Silica, dissolved; Sodium; South Carolina; South Dakota; Sulfate; Temperature, annual range; Temperature, coldest month, minimum; Temperature, mean; Temperature, range daily; Temperature, warmest month, maximum; Temperature, water; Temperature, water, annual mean; Tennessee; Texas; United States; US-AL; US-AR; US-CA; US-CO; US-CT; US-DE; US-FL; US-GA; US-IA; US-ID; US-IL; US-IN; US-KS; US-LA; US-MA; US-MD; US-MI; US-MN; US-MO; US-MS; US-NC; US-ND; US-NE; US-NH; US-NJ; US-NM; US-NV; US-NY; US-OH; US-OK; US-PA; US-SC; US-SD; US-TN; US-TX; US-UT; US-VA; US-VT; US-WA; US-WI; US-WV; US-WY; Utah; Vermont; Virginia; Washington; West Virginia; Wisconsin; Wyoming
    Type: Dataset
    Format: text/tab-separated-values, 232522 data points
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  • 3
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    Decision evaluation in complex risk network systems (DecernsSDSS) demo and Black River case study (2012)
    PANGAEA
    In:  Supplement to: Convertino, Matteo; Baker, Kelsie; Lu, Connie; Vogel, John T; Suedel, Burton; Linkov, Igor (2013): Use of multi-criteria decision analysis to guide metrics selection for ecosystem restorations. Ecological Indicators, 26, 76-86, https://doi.org/10.1016/j.ecolind.2012.10.005
    Details
    Publication Date: 2023-01-13
    Description: The selection of metrics for ecosystem restoration programs is critical for improving the quality of monitoring programs and characterizing project success. Moreover it is oftentimes very difficult to balance the importance of multiple ecological, social, and economical metrics. Metric selection process is a complex and must simultaneously take into account monitoring data, environmental models, socio-economic considerations, and stakeholder interests. We propose multicriteria decision analysis (MCDA) methods, broadly defined, for the selection of optimal sets of metrics to enhance evaluation of ecosystem restoration alternatives. Two MCDA methods, a multiattribute utility analysis (MAUT), and a probabilistic multicriteria acceptability analysis (ProMAA), are applied and compared for a hypothetical case study of a river restoration involving multiple stakeholders. Overall, the MCDA results in a systematic, unbiased, and transparent solution, informing restoration alternatives evaluation. The two methods provide comparable results in terms of selected metrics. However, because ProMAA can consider probability distributions for weights and utility values of metrics for each criteria, it is suggested as the best option if data uncertainty is high. Despite the increase in complexity in the metric selection process, MCDA improves upon the current ad-hoc decision practice based on the consultations with stakeholders and experts, and encourages transparent and quantitative aggregation of data and judgement, increasing the transparency of decision making in restoration projects. We believe that MCDA can enhance the overall sustainability of ecosystem by enhancing both ecological and societal needs.
    Type: Dataset
    Format: application/zip, 3.2 MBytes
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  • 4
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    Abundances and indices for soil microbial biomarkers (brGDGTs and isoGDGTs) in eleven soil profiles along a Serengeti transect (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Soil profiles were collected along a transect across the Serengeti ecosystem, in Tanzania from 2-3S and 34-35.5E, 1153 to 1677 m above sea level and 0 to 1.6 m soil depth. The samples are modern soils and the temporal span of the soil depth profiles is unconstrained, likely centuries to millennia. The survey is intended to observe soil microbial lipid biomarkers that are commonly used as proxies for temperature and pH and to assess their robustness in alkaline carbonate-precipitating soil profiles, where soil carbonate proxies can also be applied. These modern calibrations can inform reconstructions of Eastern African paleoenvironments using the same proxies in geological archives. Lipid extractions and purifications were performed at USC in 2018-2019 and abundances of branched and isoprenoidal glycerol dialkyl glycerol tetraethers were obtained by high pressure liquid chromatography mass spectrometry, performed in 2020-2021 at the University of Arizona. Contextual data include total dissolved solids and pH measurements at the University of Houston in 2020-2021. For more information, please consult associated manuscript on the GDGTs within these soil profiles: Peaple et al., (2022) Identifying the drivers of GDGT distributions in alkaline soil profiles within the Serengeti ecosystem, Organic Geochemistry, in review. A publication on the bulk organics and compound specific carbon isotopic composition of plant waxes in the same soils: Zhang, et al. (2021) Carbon isotopic composition of plant waxes, bulk organics and carbonates from soils of the Serengeti grasslands, Geochimica et Cosmochimica Acta, 311, 316-331, doi:10.1016/j.gca.2021.07.005. That study includes stable hydrogen isotopic data on plant wax, available from doi:10.1594/PANGAEA.921002. A publication on multiple oxygen isotopes within carbonates in the same soil profiles can be found at: Beverly, E.J., Levin, N.E., Passey, B.H., Aron, P.G., Yarian, D.A., Page, M. and Pelletier, E.M. (2021) Triple oxygen and clumped isotopes in modern soil carbonate along an aridity gradient in the Serengeti, Tanzania. Earth and Planetary Science Letters, 567, 116952, doi:10.1016/j.epsl.2021.116952. That study includes stable carbon isotopic data on soil carbonates, available from doi:10.5281/zenodo.4919027.
    Keywords: GDGTs; pH; Salinity; Soil
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 5
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    Aerosol major ions and iodine specition over South China and Sulu Seas collected daily during SONNE cruise SO218 (2018)
    PANGAEA
    In:  Supplement to: Yodle, Chan; Baker, Alex R (2019): Influence of collection substrate and extraction method on the speciation of soluble iodine in atmospheric aerosols. Atmospheric-Environment-X, 1, 100009, https://doi.org/10.1016/j.aeaoa.2019.100009
    Details
    Publication Date: 2023-11-03
    Description: Total Suspended Particulate (TSP) aerosol samples were collected daily during the Stratospheric ozone: Halogen Impacts in a Varying Atmosphere (SHIVA) cruise (FS Sonne, SO218) during 16 - 28 November 2011 through the South China and Sulu Seas. The samples were collected by Birgit Quack and Anke Schneider of GEOMAR, Kiel, Germany. The aerosol sampler was situation on the roof of the ship's wheelhouse and collection time for each sample varied between 13.0 and 24.7 hours. Samples were extracted with ultrapure water and the major ions Na+, NH4+, Mg2+, K+, Ca2+, Cl-, NO3-, SO42-, oxalate and Br- were determined by ion chromatography (IC). Total soluble iodine (TSI) was determined by inductively coupled plasma - mass spectrometry (ICP-MS) and iodide (I-) and iodate (IO3-) were determined by IC-ICP-MS. The dataset contains the atmospheric concentrations of all measured soluble major ions (in nmol m-3) and iodine species (in pmol m-3). The data for iodine species are reported in “The influence of collection substrate and extraction method on the speciation of soluble iodine in atmospheric aerosols”, Chan Yodle, Alex R. Baker, in preparation for Analytical and Bioanalytical Chemistry.
    Keywords: Air volume; Ammonium, soluble; Ammonium, soluble, standard deviation; Bromide, soluble; Bromide, soluble, standard deviation; Calcium, soluble; Calcium, soluble, standard deviation; Chloride, soluble; Chloride, soluble, standard deviation; CT; DATE/TIME; Elemental species separation and detection (IC-ICP-MS); Inductively coupled plasma - mass spectrometry (ICP-MS); Iodate, soluble; Iodate, soluble, standard deviation; Iodide, soluble; Iodide, soluble, standard deviation; Iodine, soluble; Iodine, soluble, standard deviation; Ion chromatography; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Magnesium, soluble; Magnesium, soluble, standard deviation; Nitrate, soluble; Nitrate, soluble, standard deviation; Oxalate, soluble; Oxalate, soluble, standard deviation; Potassium, soluble; Potassium, soluble, standard deviation; Quality code; Sample ID; SO218; SO218-track; Sodium, soluble; Sodium, soluble, standard deviation; Sonne; SONNE-SHIVA; South China Sea; Sulfate, soluble; Sulfate, soluble, standard deviation; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 330 data points
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  • 6
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    Concentrations and relative abundance of GDGT soil profiles along a Serengeti transect (2022)
    PANGAEA
    Details
    Publication Date: 2023-12-22
    Keywords: Archaeol; Archaeol and Caldarchaeol Ecometric index; Banagi; Branched and isoprenoid tetraether index; Branched glycerol dialkyl glycerol tetraether; Branched glycerol dialkyl glycerol tetraether, Ia; Branched glycerol dialkyl glycerol tetraether, Ia, fractional abundance; Branched glycerol dialkyl glycerol tetraether, Ib; Branched glycerol dialkyl glycerol tetraether, Ib, fractional abundance; Branched glycerol dialkyl glycerol tetraether, Ic; Branched glycerol dialkyl glycerol tetraether, Ic, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIa; Branched glycerol dialkyl glycerol tetraether, IIa, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIa'; Branched glycerol dialkyl glycerol tetraether, IIa', fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIb; Branched glycerol dialkyl glycerol tetraether, IIb, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIb'; Branched glycerol dialkyl glycerol tetraether, IIb', fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIc; Branched glycerol dialkyl glycerol tetraether, IIc, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIc', fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIa'; Branched glycerol dialkyl glycerol tetraether, IIIa', fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIb; Branched glycerol dialkyl glycerol tetraether, IIIb, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIb'; Branched glycerol dialkyl glycerol tetraether, IIIb', fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIc; Branched glycerol dialkyl glycerol tetraether, IIIc, fractional abundance; Branched glycerol dialkyl glycerol tetraether, IIIc'; Branched glycerol dialkyl glycerol tetraether, IIIc', fractional abundance; Carbon, organic, total; Cyclization ratio of branched tetraethers; DEPTH, soil; Depth comment; Elevation of event; Event label; Isomer ratio of 6-methyl branched glycerol dialkyl glycerol tetraethers; Isoprenoid acyclic glycerol dialkyl glycerol tetraether; Isoprenoid acyclic glycerol dialkyl glycerol tetraether, fractional abundance; Isoprenoidal glycerol dialkyl glycerol tetraethers; Isoprenoid dicyclic glycerol dialkyl glycerol tetraether; Isoprenoid dicyclic glycerol dialkyl glycerol tetraether, fractional abundance; Isoprenoid glycerol dialkyl glycerol tetraether, 5; Isoprenoid glycerol dialkyl glycerol tetraether, 5, fractional abundance; Isoprenoid glycerol dialkyl glycerol tetraether, 5'; Isoprenoid glycerol dialkyl glycerol tetraether, 5', fractional abundance; Isoprenoid glycerol dialkyl glycerol tetraether, per unit mass total organic carbon; Isoprenoid glycerol dialkyl glycerol tetraether/branched glycerol dialkyl glycerol tetraether ratio; Isoprenoid monocyclic glycerol dialkyl glycerol tetraether; Isoprenoid monocyclic glycerol dialkyl glycerol tetraether, fractional abundance; Isoprenoid tricyclic glycerol dialkyl glycerol tetraether; Isoprenoid tricyclic glycerol dialkyl glycerol tetraether, fractional abundance; Kemarishe; Kirawira; Latitude of event; Longitude of event; Makoma; Malambo Road; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether; MULT; Multiple investigations; Musabi; Naabi Hill; Ndabakal; Nyaruswiga; Optional event label; Precipitation, annual mean; Sample code/label; Serengeti; Serengeti_soil_Banagi; Serengeti_soil_Kemarishe; Serengeti_soil_Kirawira; Serengeti_soil_Makoma; Serengeti_soil_Malambo_Road; Serengeti_soil_Musabi; Serengeti_soil_Naabi_Hill; Serengeti_soil_Ndabaka; Serengeti_soil_Nyaruswiga; Serengeti_soil_Shifting_Sands; Serengeti_soil_Simba_Kopjes; Shifting Sands; Simba Kopjes; Temperature, annual mean
    Type: Dataset
    Format: text/tab-separated-values, 1352 data points
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  • 7
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    Aerosol chemical composition (major ions and iodine speciation) during the TransBrom cruise in the western Pacific Ocean, October 2009 (2021)
    PANGAEA
    Details
    Publication Date: 2023-12-12
    Description: Size segregated aerosol samples were collected during the Very short lived bromine compounds in the ocean and their transport pathways into the stratosphere (TransBrom) cruise (FS Sonne, SO202) during 9 - 25 October 2009 in the western Pacific Ocean (~141 E - 146 E, 20 S – 43 N). The samples were collected by Christian Müller, Sebastian Wache and Arne Lanatowitz of GEOMAR, Kiel, Germany. The aerosol sampler was situated on the roof of the ship's wheelhouse. Samples were collected using a Sierra-type cascade impactor to separate the aerosol particles at an aerodynamic diameter cutoff of 1 µm. Collection time for the samples varied between 20.3 and 26.8 hours. Samples were extracted with ultrapure water and the major ions Na+, NH4+, Mg2+, K+, Ca2+, Cl-, NO3-, SO42-, oxalate, Br- and methanesulfonate were determined by ion chromatography (IC). Total soluble iodine (TSI) was determined by inductively coupled plasma - mass spectrometry (ICP-MS) and iodide (I-) and iodate (IO3-) were determined by IC-ICP-MS. The dataset contains the atmospheric concentrations of all measured soluble major ions (in nmol/m³) and iodine species (in pmol/m³).
    Keywords: Air volume; Ammonium, soluble; Ammonium, soluble, standard deviation; Bromide, soluble; Bromide, soluble, standard deviation; Calcium, soluble; Calcium, soluble, standard deviation; Chloride, soluble; Chloride, soluble, standard deviation; Date/Time of event; Date/Time of event 2; Elemental species separation and detection (IC-ICP-MS); Event label; high-volume aerosol collection; High volume aerosol collector (Graseby-Anderson type); Inductively coupled plasma - mass spectrometry (ICP-MS); Iodate, soluble; Iodate, soluble, standard deviation; Iodide, soluble; Iodide, soluble, standard deviation; Iodine, soluble; Iodine, soluble, standard deviation; Ion chromatography; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; Magnesium, soluble; Magnesium, soluble, standard deviation; Methane sulfonic acid; Methane sulfonic acid, standard deviation; Nitrate, soluble; Nitrate, soluble, standard deviation; Oxalate, soluble; Oxalate, soluble, standard deviation; Potassium, soluble; Potassium, soluble, standard deviation; Sample code/label; Size fraction; size-segregated aerosol particles; SO202/2; SO202/2_I01; SO202/2_I02; SO202/2_I03; SO202/2_I04; SO202/2_I05; SO202/2_I06; SO202/2_I07; SO202/2_I08; SO202/2_I09; SO202/2_I10; SO202/2_I11; SO202/2_I12; SO202/2_I13; Sodium, soluble; Sodium, soluble, standard deviation; Sonne; Sulfate, soluble; Sulfate, soluble, standard deviation; TransBrom; Western Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 776 data points
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  • 8
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    Drip water δ2H (VSMOW) for site 1A, 1IV, 2B and 2E from the Golgotha Cave in southwest Western Australia (2022)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: cave monitoring; DATE/TIME; Determined according to Treble et al. (2013); dripwater; Golgotha_Cave; water isotopes; Western Australia; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 246 data points
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  • 9
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    Drip water rates for site 1A, 1IV, 2B and 2E from the Golgotha Cave in southwest Western Australia (2022)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: cave monitoring; Counted (manually timed); DATE/TIME; Drip rate; dripwater; Golgotha_Cave; water isotopes; Western Australia
    Type: Dataset
    Format: text/tab-separated-values, 361 data points
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  • 10
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    Drip water analysis of site 1A, 1IV, 2B and 2E from the Golgotha Cave in southwest Western Australia (2022)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: Dripwater was collected every 4-6 weeks from Golgotha Cave (34.1°S, 115.1°E) in southwest Western Australia from 2005 until 2019, although beginning in 2008 for site 2E and in 2013 for site 1IV. Cave location is rounded to nearest tenth of a degree as exact locations not disclosed for cave conservation purposes. Dripwaters were collected for paleoclimate and paleohydrology studies. Data from August 2005 until March 2012 were previously published in Treble et al. (2013) and the longer dataset in Treble et al (2021). Please cite Treble et al. (2013, 2021) when using these data. Dripwaters were collected at 4-6 week intervals from bulk 1 L high-density polyethylene collection vessels, fitted with funnels, that were emptied following collection of water for analyses. Drip rates were manually timed during each collection visit. The drip sites pair with stalagmites collected from these locations as follows: site 1A (GL-S1), site 1IV (GL-S4), site 2B (GL-S2), site 2E (GL-S3). Stable water isotopes (δ18O and δ2H) collected between August 2005 and April 2011 were determined by: 1. offline equilibration technique at the Research School of Earth Sciences, Australian National University; 2. using an LGR-24 d cavity ringdown mass spectrometer at the University of New South Wales for samples from May 2011-March 2012; and 3. using Picarro L2120-I Water Analyser at ANSTO from 2012 onwards. Analytical error all techniques was 0.1 ‰ (1 s.d.; calculated from within-run internal references materials). See citations in Treble et al. (2013) for details of methods. Golgotha Cave is located in Eucalyptus forest with dense understorey in the Leeuwin-Naturaliste National Park. The hostrock is Quaternary aeolinite and the soil thickness is variable with measurements ranging from 0.3 – 3 m deep. The cave entrance is 70 m above sea level. Dripwater sites 1A, 1IV are located approximately 60 m from the entrance where the limestone thickness overhead is 30 m while dripwater sites 2B and 2E are located approximately 90 m from the entrance where the limestone thickness overhead is 40 m. Mean annual site temperature is 15.6 ±0.5°C and mean annual rainfall is 1101±157 mm (1911-2018 period; Australian Bureau of Meteorology AWRA-L dataset http://www.bom.gov.au/water/landscape. Inside the cave, temperature ranges from 14.5-14.8°C, windspeed is low (≤0.03 m s-1) and relative humidity ranges from 98-100% (Treble et al 2019). Rainfall water isotope measurements from Calgardup Cave, located 5 km from Golgotha Cave and complimentary to this dataset, are available from the IAEA Water Isotope System for data analysis, visualization and Electronic Retrieval, https://nucleus.iaea.org/wiser/ using station code 9564101.
    Keywords: cave monitoring; dripwater; water isotopes; Western Australia
    Type: Dataset
    Format: application/zip, 3 datasets
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