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Full-Text Articles in Physical Sciences and Mathematics

Precipitation Recorded In The Turkana Basin From 2005 To 2022., Acacia Leakey, Greg Henkes, Mae Saslaw, Dino Martins Jan 2023

Precipitation Recorded In The Turkana Basin From 2005 To 2022., Acacia Leakey, Greg Henkes, Mae Saslaw, Dino Martins

Geosciences Research Data

This is a dataset of precipitation recorded at three sites in northern Kenya near Lake Turkana using standard rain gauges. The data was recorded at the Koobi Fora Research Station (3.947736, 36.186166) from March 2003 until 2006, at the Turkana Basin Institute’s Ileret facility (4.28510, 36.262158) from 2006 to 2022 and at the Turkana Basin Institute’s Turkwel facility (3.140825, 35.864599) from 2012 to 2022. The data was collected manually by TBI staff observing gradation lines on the collectors following rainfall events and recorded as a single total for each 24 hour period.


Data Supporting: Scaling Of Turbulence And Microphysics In A Convection-Cloud Chamber Of Varying Height, Subin Thomas, Fan Yang, Mikhail Ovchinnikov, Will Cantrell, Raymond Shaw Jul 2022

Data Supporting: Scaling Of Turbulence And Microphysics In A Convection-Cloud Chamber Of Varying Height, Subin Thomas, Fan Yang, Mikhail Ovchinnikov, Will Cantrell, Raymond Shaw

Michigan Tech Research Data

The file contains the data corresponding to the figures in the paper. Abstract for the paper: The convection-cloud chamber enables measurement of aerosol and cloud microphysics, as well as their interactions, within a turbulent environment under steady-state conditions. Increasing the size of a convection-cloud chamber, while holding the imposed temperature difference constant, leads to increased Rayleigh, Reynolds and Nusselt numbers. Large-eddy simulation coupled with a bin microphysics model allows the influence of increased velocity, time, and spatial scales on cloud microphysical properties to be explored. Simulations of a convection--cloud chamber, with fixed aspect ratio and increasing heights of H=1, 2, …


Connecticut Embayment Characteristics 2022, Jamie M.P. Vaudrey, James E. O'Donnell Mar 2022

Connecticut Embayment Characteristics 2022, Jamie M.P. Vaudrey, James E. O'Donnell

Department of Marine Sciences

Data on Connecticut embayment characteristics. This Excel file is the centerpiece for capturing embayment characteristics as presented in RESPEC (2022), developed specifically for this project. Some parameters such as watershed size, embayment size, and tidal range were pulled from other sources described in Appendix A of RESPEC (2022), but much of the data and indicators in the Excel file were developed for this project. Each parameter included in the spreadsheet is fully defined in Appendix A of RESPEC (2022). All data available in the spreadsheet are provided by embayment in Appendix C of RESPEC (2022), including the results of bathymetric …


Seagrass Species Data Occurrence Recorded In Indonesia's Water, Susi Rahmawati, Udhi Hernawan, Kathryn M. Mcmahon Jan 2022

Seagrass Species Data Occurrence Recorded In Indonesia's Water, Susi Rahmawati, Udhi Hernawan, Kathryn M. Mcmahon

Research Datasets

This is the dataset of seagrass species occurrence compiled for the research project, titled “Prioritizing areas in Indonesia to conserve and enhance seagrass ecosystem functions under a changing climate”, funded by the 2021/2022 ANU Indonesia Project Research Grants.


Annual Concentration And Flux Of Non-Sea-Salt Sulfate In The Wais Divide Ice Core (Wdc) For The Last 11,000 Years, Jihong Cole-Dai Sep 2020

Annual Concentration And Flux Of Non-Sea-Salt Sulfate In The Wais Divide Ice Core (Wdc) For The Last 11,000 Years, Jihong Cole-Dai

Ice Core and Environmental Chemistry Lab Datasets and Publications

Annual concentration and flux of non-sea-slat sulfate in the WAIS Divide ice core (WDC) for the last 11,000 years.


Secchi Disk Measurements In Turbid Water: Supporting Data, D. G. Bowers, E. M. Roberts, A. M. Hoguane, K. A. Fall, Grace M. Massey, Carl T. Friedrichs Jan 2020

Secchi Disk Measurements In Turbid Water: Supporting Data, D. G. Bowers, E. M. Roberts, A. M. Hoguane, K. A. Fall, Grace M. Massey, Carl T. Friedrichs

Data

No abstract provided.


Seagrass Losses Since Mid-20th Century Fuelled Co2 Emissions From Soil Carbon Stocks [Dataset], Cristian Salinas, Carlos M. Duarte, Paul S. Lavery, Pere Masque, Ariane Arias-Ortiz, Javier Leon, David Callaghan, Gary A. Kendrick, Oscar Serrano Jan 2020

Seagrass Losses Since Mid-20th Century Fuelled Co2 Emissions From Soil Carbon Stocks [Dataset], Cristian Salinas, Carlos M. Duarte, Paul S. Lavery, Pere Masque, Ariane Arias-Ortiz, Javier Leon, David Callaghan, Gary A. Kendrick, Oscar Serrano

Research Datasets

The database compiles published data (in Salinas et al. 2020) on biogeochemical characteristics (density, organic carbon, stable carbon isotopes, sediment grain size) of cores from Posidonia australis and sinuosa soil in Cockburn Sound, Western Australia.

Enquiries about the dataset may be sent to Cristian Salinas: c.salinaszapata@ecu.edu.au


Data Supporting The Paper "Extensive Soot Compaction By Cloud Processing From Laboratory And Field Observations", Janarjan Bhandari, Swarup China, Kamal Kant Chandrakar, Greg Kinney, Will Cantrell, Raymond Shaw, Lynn R. Mazzoleni, Giulia Girotto, Noopur Sharma, Kyle Gorkowski, Stefania Gilardoni, Stefano Decesari, Maria Cristina Facchini, Nicola Zanca, Giulia Pavese, Francesco Esposito, Manvendra Dubey, Allison Aiken, Rajan K. Chakrabarty, Hans Moosmüller, Timothy B. Onasch, Rahul A. Zaveri, Barbara Scarnato, Paolo Fialho, Claudio Mazzoleni Feb 2019

Data Supporting The Paper "Extensive Soot Compaction By Cloud Processing From Laboratory And Field Observations", Janarjan Bhandari, Swarup China, Kamal Kant Chandrakar, Greg Kinney, Will Cantrell, Raymond Shaw, Lynn R. Mazzoleni, Giulia Girotto, Noopur Sharma, Kyle Gorkowski, Stefania Gilardoni, Stefano Decesari, Maria Cristina Facchini, Nicola Zanca, Giulia Pavese, Francesco Esposito, Manvendra Dubey, Allison Aiken, Rajan K. Chakrabarty, Hans Moosmüller, Timothy B. Onasch, Rahul A. Zaveri, Barbara Scarnato, Paolo Fialho, Claudio Mazzoleni

Department of Physics Publications

No abstract provided.


Data Supporting The Paper "Scaling Of An Atmospheric Model To Simulate Turbulence And Cloud Microphysics In The Pi Chamber", Subin Thomas, Mikhail S. Ovchinnikov, Fan Yang, Dennis Van Der Voort, Will Cantrell, Steven K. Krueger, Raymond Shaw Feb 2019

Data Supporting The Paper "Scaling Of An Atmospheric Model To Simulate Turbulence And Cloud Microphysics In The Pi Chamber", Subin Thomas, Mikhail S. Ovchinnikov, Fan Yang, Dennis Van Der Voort, Will Cantrell, Steven K. Krueger, Raymond Shaw

Department of Physics Publications

No abstract provided.


Wamsi 2 - Kmrp [Kimberley Marine Research Program] Project 2.2.9: Historical Water Quality Using Sediment Records, John Keesing, Dongyan Liu, Zineng Yuan, Yajun Peng, Yujue Wang, Pierre Richard, Pere Masque´, Yingjun Che, Yin Fang Jan 2019

Wamsi 2 - Kmrp [Kimberley Marine Research Program] Project 2.2.9: Historical Water Quality Using Sediment Records, John Keesing, Dongyan Liu, Zineng Yuan, Yajun Peng, Yujue Wang, Pierre Richard, Pere Masque´, Yingjun Che, Yin Fang

Research Datasets

The remote Kimberley coast of north-western Australia is one of the few marine environments domains on earth largely unaffected by human use. However, the region is undergoing increasing economic importance as a destination for tourism and significant coastal developments associated with oil and gas exploration. The objective of the project was to reconstruct a timeline of inferred water quality changes from the sediment record for a selected set of sites in the Kimberley, Western Australia. The project made use of palaeoecological approaches to reconstruct a chronology of change over the last approximately 100 years using a series of biogeochemical proxies …


Data Supporting The Paper "Dispersion Aerosol Indirect Effect In Turbulent Clouds: Laboratory Measurements Of Effective Radius", K. K. Chandrakar, Will Cantrell, A. Kostinski, R. A. Shaw Sep 2018

Data Supporting The Paper "Dispersion Aerosol Indirect Effect In Turbulent Clouds: Laboratory Measurements Of Effective Radius", K. K. Chandrakar, Will Cantrell, A. Kostinski, R. A. Shaw

Department of Physics Publications

No abstract provided.


Ultrahigh Resolution Ft-Icr Ms Data For Biomass Burning Emissions-Influenced Fog And Aerosol From The Po Valley, Matthew Brege, Lynn Mazzoleni Mar 2018

Ultrahigh Resolution Ft-Icr Ms Data For Biomass Burning Emissions-Influenced Fog And Aerosol From The Po Valley, Matthew Brege, Lynn Mazzoleni

Lynn Mazzoleni

This dataset and the methods used to obtain it were described in "Molecular insights on aging and aqueous phase processing from ambient biomass burning emissions-influenced Po Valley fog and aerosol” submitted to Atmospheric Chemistry and Physics in March of 2018. Briefly, two samples of ambient fog water and two samples of ambient aerosol collected in the Po Valley (Italy) during the 2013 Supersito field campaign were analyzed using negative mode electrospray ionization Fourier transform ion cyclotron mass spectrometry (FT-ICR MS). The extent of “fresh” vs. “aged” biomass burning influence was estimated prior to FT-ICR MS analysis using proton nuclear magnetic …


Ultrahigh Resolution Ft-Icr Ms Data For Biomass Burning Emissions-Influenced Fog And Aerosol From The Po Valley, Matthew Brege, Lynn Mazzoleni Mar 2018

Ultrahigh Resolution Ft-Icr Ms Data For Biomass Burning Emissions-Influenced Fog And Aerosol From The Po Valley, Matthew Brege, Lynn Mazzoleni

Department of Chemistry Publications

This dataset and the methods used to obtain it were described in "Molecular insights on aging and aqueous phase processing from ambient biomass burning emissions-influenced Po Valley fog and aerosol” submitted to Atmospheric Chemistry and Physics in March of 2018. Briefly, two samples of ambient fog water and two samples of ambient aerosol collected in the Po Valley (Italy) during the 2013 Supersito field campaign were analyzed using negative mode electrospray ionization Fourier transform ion cyclotron mass spectrometry (FT-ICR MS). The extent of “fresh” vs. “aged” biomass burning influence was estimated prior to FT-ICR MS analysis using proton nuclear magnetic …


Ultrahigh Resolution Ft-Icr Ms Data Of Long-Range Transported Free Tropospheric Aerosol Collected At The Pico Mountain Observatory In The Azores, Simeon K. Schum, Lynn Mazzoleni Mar 2018

Ultrahigh Resolution Ft-Icr Ms Data Of Long-Range Transported Free Tropospheric Aerosol Collected At The Pico Mountain Observatory In The Azores, Simeon K. Schum, Lynn Mazzoleni

Lynn Mazzoleni

This dataset and the methods used to obtain it were described in “Molecular and physical characteristics of aerosol at a remote marine free troposphere site: Implications for atmospheric aging” submitted to Atmospheric Chemistry and Physics in February 2018. Briefly, three long-range transported organic aerosol samples were analyzed using negative mode electrospray ionization Fourier transform ion cyclotron mass spectrometry (FT-ICR MS) with a mass resolving power of 400,000 (defined at m/z 400). FLEXPART retroplume simulations indicated that two of the samples (PMO-1 & PMO-3) were influenced by North American wildfire emissions transported in the free troposphere and one (PMO-2) by North …


Ultrahigh Resolution Ft-Icr Ms Data Of Long-Range Transported Free Tropospheric Aerosol Collected At The Pico Mountain Observatory In The Azores, Simeon K. Schum, Lynn Mazzoleni Feb 2018

Ultrahigh Resolution Ft-Icr Ms Data Of Long-Range Transported Free Tropospheric Aerosol Collected At The Pico Mountain Observatory In The Azores, Simeon K. Schum, Lynn Mazzoleni

Department of Chemistry Publications

This dataset and the methods used to obtain it were described in “Molecular and physical characteristics of aerosol at a remote marine free troposphere site: Implications for atmospheric aging” submitted to Atmospheric Chemistry and Physics in February 2018. Briefly, three long-range transported organic aerosol samples were analyzed using negative mode electrospray ionization Fourier transform ion cyclotron mass spectrometry (FT-ICR MS) with a mass resolving power of 400,000 (defined at m/z 400). FLEXPART retroplume simulations indicated that two of the samples (PMO-1 & PMO-3) were influenced by North American wildfire emissions transported in the free troposphere and one (PMO-2) by North …


Seagrass Soil Archives Reveal Centennial-Scale Metal Smelter Contamination While Acting As Natural Filters [Dataset], Anna Lafratta, Oscar Serrano, Pere Masque´, Miguel-Angel Mateo, Milena Fernandes, Sam Gaylard, Paul Lavery Jan 2018

Seagrass Soil Archives Reveal Centennial-Scale Metal Smelter Contamination While Acting As Natural Filters [Dataset], Anna Lafratta, Oscar Serrano, Pere Masque´, Miguel-Angel Mateo, Milena Fernandes, Sam Gaylard, Paul Lavery

Research Datasets

The database compiles published data (in Lafratta et al. 2019, STOTEN) on physical, biogeochemical and chemical characteristics (density, organic carbon, sediment grain size, metals concentration, Pb isotopes ratio) of soils underneath seagrass meadows in Port Pirie, South Australia. Pb-210 concentrations of the first 12 cm are also included. The dataset includes data for a total of two cores, A12 and A15 that are 147 and 96 cm long respectively.


Cruise Data For Neuston Net And Paired Bongo Net Tows From 47 Stations In The Northern Gulf Of Mexico From R/V Pelican Cruise Lf2017a July 2017, Jay R. Rooker, R.J. David Wells Oct 2017

Cruise Data For Neuston Net And Paired Bongo Net Tows From 47 Stations In The Northern Gulf Of Mexico From R/V Pelican Cruise Lf2017a July 2017, Jay R. Rooker, R.J. David Wells

DEEPEND Datasets

Shelf and slope waters in the Deep Water Horizon oil spill (DWHOS) area are known to serve as critical spawning, nursery, and foraging habitat of several important oceanic species including billfishes (e.g. blue marlin, white marlin, sailfish), tunas (bluefin tuna, yellowfin tuna), and other pelagic taxa (swordfish, dolphinfishes). The aim of this component was to further investigate potential ecological effects of the DWHOS on pelagic fishes during the early life period. Larval fishes were sampled from 48 stations in the northern Gulf of Mexico and cruise data was collected at each site including latitude/longitude, date, time and environmental data (sea …


Cruise Data For Neuston Net And Paired Bongo Net Tows From 48 Stations In The Northern Gulf Of Mexico From R/V Blazing Seven Cruises Lf2016a And Lf2016b, June-July 2016, Jay R. Rooker, R.J. David Wells Mar 2017

Cruise Data For Neuston Net And Paired Bongo Net Tows From 48 Stations In The Northern Gulf Of Mexico From R/V Blazing Seven Cruises Lf2016a And Lf2016b, June-July 2016, Jay R. Rooker, R.J. David Wells

DEEPEND Datasets

Shelf and slope waters in the Deep Water Horizon oil spill (DWHOS) area are known to serve as critical spawning, nursery, and foraging habitat of several important oceanic species including billfishes (e.g. blue marlin, white marlin, sailfish), tunas (bluefin tuna, yellowfin tuna), and other pelagic taxa (swordfish, dolphinfishes). The aim of this component was to further investigate potential ecological effects of the DWHOS on pelagic fishes during the early life period. Larval fishes were sampled from 48 stations in the northern Gulf of Mexico and cruise data was collected at each site including latitude/longitude, date, time and environmental data (sea …


Presence/Absence And Density Data For Epipelagic Tows From 48 Stations In The Northern Gulf Of Mexico From R/V Blazing Seven Cruises Lf2015a And Lf2015b June 2015 And July 2015, Jay R. Rooker, R.J. David Wells Mar 2017

Presence/Absence And Density Data For Epipelagic Tows From 48 Stations In The Northern Gulf Of Mexico From R/V Blazing Seven Cruises Lf2015a And Lf2015b June 2015 And July 2015, Jay R. Rooker, R.J. David Wells

DEEPEND Datasets

Larval catch data after the oil spill is being used to improve our understanding of the causes of temporal variability as it relates to the Deep Water Horizon oil spill (DWHOS). Bongo and neuston net tows were conducted at 48 stations in both June and July, 2015 in the northern Gulf of Mexico. Cruise data collected at each site included latitude/longitude, date, time and environmental data (temperature, salinity, dissolved oxygen). The occurrence and density of selected epipelagic (e.g., billfishes, tunas, dolphinfishes, flyingfishes) and deep pelagic (e.g., lanternfishes, bristlemouths, marine hatchetfishes) fish larvae were quantified and are being used to extend …


Cruise Data For Neuston Net And Paired Bongo Net Tows From 48 Stations In The Northern Gulf Of Mexico From R/V Blazing Seven Cruises Lf2015a And Lf2015b June 2015 And July 2015, Jay R. Rooker, R.J. David Wells Feb 2017

Cruise Data For Neuston Net And Paired Bongo Net Tows From 48 Stations In The Northern Gulf Of Mexico From R/V Blazing Seven Cruises Lf2015a And Lf2015b June 2015 And July 2015, Jay R. Rooker, R.J. David Wells

DEEPEND Datasets

Shelf and slope waters in the Deep Water Horizon oil spill (DWHOS) area are known to serve as critical spawning, nursery, and foraging habitat of several important oceanic species including billfishes (e.g. blue marlin, white marlin, sailfish), tunas (bluefin tuna, yellowfin tuna), and other pelagic taxa (swordfish, dolphinfishes). The aim of this component was to further investigate potential ecological effects of the DWHOS on pelagic fishes during the early life period. Larval fishes were sampled from 48 stations in the northern Gulf of Mexico and cruise data was collected at each site including latitude/longitude, date, time and environmental data (sea …


A Marine Heat Wave Drives Massive Losses From The World’S Largest Seagrass Carbon Stocks [Dataset], Ariane Arias-Ortiz, Oscar Serrano, Pere Masqué, Paul Lavery, Ute A. Mueller, Gary A, Kendrick, Mohammad Rozaimi, Alba Esteban, James W, Fourqurean, Núrià N. Marbà, Miquel-Angel Mateo, Kathy Murray, Michael Rule, Carlos M. Duarte Jan 2017

A Marine Heat Wave Drives Massive Losses From The World’S Largest Seagrass Carbon Stocks [Dataset], Ariane Arias-Ortiz, Oscar Serrano, Pere Masqué, Paul Lavery, Ute A. Mueller, Gary A, Kendrick, Mohammad Rozaimi, Alba Esteban, James W, Fourqurean, Núrià N. Marbà, Miquel-Angel Mateo, Kathy Murray, Michael Rule, Carlos M. Duarte

Research Datasets

The database compiles published data (in Arias-Ortiz et al., 2018) on biogeochemical characteristics (density, organic carbon, stable carbon isotopes and sediment grain size) of soils underneath seagrass meadows in Shark Bay, Western Australia. Pb-210 concentrations of the first 20 cm are included along with C-14 raw ages. The dataset compiles data for a total of 49 cores, 25 - 300 cm-long (11 cores with Pb-210 and C-14 data). Enquiries about the dataset may be sent to Ariane Arias-Ortiz: ariane.arias@uab.cat


Variability In The Carbon Storage Of Seagrass Habitats And Its Implications For Global Estimates Of Blue Carbon Ecosystem Service [Dataset], Paul Lavery, Miguel-Angel Mateo, Oscar Serrano, Mohammad Rozaimi Feb 2016

Variability In The Carbon Storage Of Seagrass Habitats And Its Implications For Global Estimates Of Blue Carbon Ecosystem Service [Dataset], Paul Lavery, Miguel-Angel Mateo, Oscar Serrano, Mohammad Rozaimi

Research Datasets

The dataset compiles published data (in Lavery et al. 2013, PLoS ONE 8(9): e73748. doi:10.1371/journal.pone.0073748) on biogeochemical variables (organic matter, organic carbon and CO3 contents, and stable carbon isotope signatures of the organic carbon) in sediment core from seagrass meadows in Australia. The cores studied were up to 29 cm long, and ecompass tropical, subtropical and temperate seagrass meadows in intertidal and subtidal habitats. Enquiries about the dataset may be sent to Paul Lavery p.lavery@ecu.edu.au.


Seagrass Sediments Reveal The Long-Term Deterioration Of An Estuarine Ecosystem [Dataset], Oscar Serrano, Paul S. Lavery, Pere Masque, Karina Inostroza, James Bongiovanni, Carlos Duarte Jan 2016

Seagrass Sediments Reveal The Long-Term Deterioration Of An Estuarine Ecosystem [Dataset], Oscar Serrano, Paul S. Lavery, Pere Masque, Karina Inostroza, James Bongiovanni, Carlos Duarte

Research Datasets

The database compiles published data (in Serrano et al. 2016, Global Change Biology, doi:10.1111/gcb.13195) on temporal trends in biogeochemical variables in the Posidonia australis sediment core from Oyster Harbour, Western Australia. The core studied encompasses the last 500 years of history. Data on dry bulk density, carbonate content, sedimentso.serranogras@ecu.edu.au.


Key Biogeochemical Factors Affecting Soil Carbon Storage In Posidonia Meadows [Dataset], Oscar Serrano, Aurora M. Ricart, Paul S. Lavery, Miguel-Angel Mateo, Ariane Arias-Ortiz, Pere Masque, Andy Steven, Carlos M. Duarte Jan 2016

Key Biogeochemical Factors Affecting Soil Carbon Storage In Posidonia Meadows [Dataset], Oscar Serrano, Aurora M. Ricart, Paul S. Lavery, Miguel-Angel Mateo, Ariane Arias-Ortiz, Pere Masque, Andy Steven, Carlos M. Duarte

Research Datasets

The database compiles published data (in Serrano et al. 2015, Biogeosciences, doi:10.5194/bgd-12-18913-2015) on biogeochemical characteristics (age, density, organic carbon, inorganic carbon, stable carbon isotopes and sediment grain size) of sediments underneath seagrass meadows (Posidonia sinuosa) along a bathymetric gradient (from 2 to 8 m) and adjacent un-vegetated patches in Garden Island (Perth, Western Australia). The dataset compiles data on biogeochemical sediment characteristics (including organic and inorganic carbon stocks and burial rates) for a total of 5 cores (4 cores from seagrass meadows and 1 core from adjacent un-vegetated sediments). Enquiries about the dataset may be sent to Oscar …


Can Mud (Silt And Clay) Concentration Be Used To Predict Soil Organic Carbon Content Within Seagrass Ecosystems? [Dataset], Oscar Serrano, Paul Lavery, Carlos M. Duarte, Gary A. Kendrick, Antoni Calafat, Paul York, Andy Steven, Peter Macreadie Jan 2016

Can Mud (Silt And Clay) Concentration Be Used To Predict Soil Organic Carbon Content Within Seagrass Ecosystems? [Dataset], Oscar Serrano, Paul Lavery, Carlos M. Duarte, Gary A. Kendrick, Antoni Calafat, Paul York, Andy Steven, Peter Macreadie

Research Datasets

The database compiles published data (in Serrano et al. 2016, Biogeosciences, doi:10.5194/bg-2015-598) on biogeochemical characteristics (%organic carbon, stable carbon isotopes and mud content) of sediments underneath seagrass meadows and bare sediments in Australia and Spain. Details on habitat characteristics (latitude/longitude, water depth, seagrass species and geomorphology) and sediment depth are also provided for each location studied. The data set includes 1345 data entries from 100 sediment cores, encompassing 10 seagrass species in estuarine and coastal habitats. Enquiries about the dataset may be sent to Oscar Serrano o.serranogras@ecu.edu.au.


Impact Of Mooring Activities On Carbon Stocks In Seagrass Meadows [Dataset], Oscar Serrano, Radhiyah Ruhon, Paul S. Lavery, Gary A. Kendrick, Sharyn Hickey, Pere Masque, Ariane Arias-Ortiz, Andy Steven, Carlos M. Duarte Jan 2016

Impact Of Mooring Activities On Carbon Stocks In Seagrass Meadows [Dataset], Oscar Serrano, Radhiyah Ruhon, Paul S. Lavery, Gary A. Kendrick, Sharyn Hickey, Pere Masque, Ariane Arias-Ortiz, Andy Steven, Carlos M. Duarte

Research Datasets

The database compiles published data (in Serrano et al. 2016, Scientific Reports, in press) on biogeochemical characteristics (density, organic carbon, calcium carbonate, stable carbon isotopes and sediment grain size) of sediments underneath seagrass meadows and adjacent un-vegetated patches after mooring disturbances in Rottnest Island (Perth, Western Australia). The dataset compiles data on biogeochemical sediment characteristics for a total of 16 cores, 50 cm-long (4 cores from seagrass meadows and 4 cores from adjacent bare sediments at Thompson Bay, and 4 cores from seagrass meadows and 4 cores from adjacent bare sediments at Stark Bay). Enquiries about the dataset may be …


Sfa Weather Station - Monthly And Annual Rainfall - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University Jan 2011

Sfa Weather Station - Monthly And Annual Rainfall - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Monthly and annual rainfall statistics for the years 1901 to 2011.


Sfa Weather Station - Monthly And Annual Raindays - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University Jan 2011

Sfa Weather Station - Monthly And Annual Raindays - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Monthly and annual raindays for the years 1901 to 2011.


Sfa Weather Station - Monthly And Annual Mean Minimum Air Temperature 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University Jan 2011

Sfa Weather Station - Monthly And Annual Mean Minimum Air Temperature 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Monthly and annual mean minimum air temperature statistics for the years 1901 to 2011.


Sfa Weather Station - Maximum Daily Rainfall - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University Jan 2011

Sfa Weather Station - Maximum Daily Rainfall - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Maximum daily rainfall statistics from 1901 to 2011.