LBA-ECO CD-06 Isotopic Composition of Carbon Fractions, Amazon Basin River Water
简介
该数据集包含 1991 年至 2003 年期间采集自亚马逊河流域 60 个地点的样品，包括标准地球化学变量：溶解二氧化碳、溶解无机碳（DIC）、溶解有机碳（DOC）、细颗粒有机碳（FPOC）和粗颗粒有机碳（CPOC）（Mayorga 等人，2005）。1991 年至 2003 年期间采集的样品测量了 DIC 的 14C 和 13C 同位素组成。1995 年至 1996 年期间采集的样品测量了有机碳组分的 14C 组成。
此数据集包含四个逗号分隔的数据文件。请注意，站点描述包含根据海拔 1,000 米以上流域面积百分比对每个站点按地形进行分类（Mayorga 等人，2005 年）。仅提供地球化学和碳分数结果的平均值。提供单独的 13C 和 14C 测量值以及平均值。
摘要
File #1: Sample_site_descriptions.csv
Column Heading Units/format Description
1 Site_category Sites are categorized based on proportion of their drainage area at elevations greater than 1,000 m
2 River Name of the river sampled
3 Site_name Name given to the sampling location. A few sites represent aggregated data from distinct sites in relative proximity.
4 Latitude decimal degrees Sampling location: latitude in decimal degrees (s)
5 Longitude decimal degrees Sampling location: longitude in decimal degrees (w)
6 Area km2 Site drainage area in square kilometers
7 Elev_site m Elevation at the sampling site in meters
8 Elev_basin_mean m Mean elevation of the site drainage area in meters
9 Elev_1000 % Percent of the site drainage area with elevation greater than 1,000 m
File #2: Geochemical_property_means.csv
Column Heading Units/format Description
1 Site_category Sites are categorized based on proportion of the site drainage area at elevations greater than 1,000 m
2 River Name of the river
3 Site_name Name given to the sampling location
4 Site_ID Each sampling site was assigned a unique numeric site ID
5 Temperature degrees C Mean water temperature reported in degrees Celsius
6 pH Mean river water pH
7 Alkalinity ueq per L Mean river water alkalinity either measured by Gran titration or estimated from temperature, DIC and pH; reported in microequivalents per liter (ueq per L)
8 FSS mg per L Concentration of fine suspended sediments reported in milligrams per liter of water
9 Perc_FPOC %wt Percent of fine suspended sediments composed of FPOC calculated as column 8 divided by column 13 and reported in percent
10 CO2 ppm Mean river water CO2 concentrations were either measured directly by headspace equilibration or estimated from temperature, pressure, pH, DIC, and alkalinity and reported in parts per million (ppm)
11 DIC umol per L Concentration of DIC reported in micromoles per liter (umol per L)
12 DOC mg C per L Concentration of DOC reported in milligrams C per liter (mg per L)
13 FPOC mg C per L Concentration of dissolved FPOC reported in milligrams C per liter (mg per L)
14 CPOC mg C per L Concentration of dissolved CPOC reported in milligramsC per liter (mg per L)
Missing data are represented by -9999
Mean geochemical properties were based on samples analyzed for carbon isotopes
File #3: C_fraction_delta_values_ind_samples.csv
Column Heading Units/format Description
1 Site_category Sites are categorized based on proportion of the site drainage area at elevations greater than 1,000 m
2 Site_ID Each sampling site was assigned a unique numeric site ID
3 Date YYYYMMDD Sample date (YYYYMMDD)
4 C_fraction Carbon fraction analyzed: DIC= dissolved inorganic carbon; CO2= carbon dioxide; DOC= dissolved organic carbon; FPOC= fine particulate organic carbon; CPOC= coarse particulate organic carbon: analyses for CO2 fraction were calculated; all others were measured directly
5 Delta_14C per mil Isotopic ratio of 14C to 12C: Delta (capital greek Delta) 14C data are reported as [[14C/12C ratio of the sample divided by 0.95 times the 14C/12C of the Oxalic Acid I standard, decay corrected to 1950] -1]1000 (as defined in Stuiver and Polach, 1977). A mass-dependent 13C correction has been applied
6 delta_13C per mil Isotopic ratio of 13C to 12C: delta (lowercase greek delta) 13C data are reported as [[13C/12C ratio of the sample divided by the 13C/12C of the PeeDee Belemnite standard] -1]1000, or the deviation in parts per thousand of the 13C/12C ratio of the standard from the 13C/12C of the PDB standard
Missing data are represented by -9999
File #4: Mean_C_fraction_delta_values.csv
Column Heading Units/format Description
1 Site_category Sites are categorized based on proportion of their drainage area at elevations greater than 1,000 m
2 Carbon_fraction Identification of the carbon fraction ( CO2= carbon dioxide; DIC= dissolved inorganic carbon; DOC= dissolved organic carbon; FPOC= fine particulate organic carbon and CPOC= coarse particulate organic carbon)
3 N_samples Number of samples included in the calculation of the mean value
4 Delta_14C per mil Mean Delta 14C value for this carbon fraction and site category combination reported in parts per mil
5 Std_dev_D14C per mil Standard deviation of the mean Delta 14C value
6 delta_13C per mil Mean delta 13C value for this carbon fraction and site category combination reported in parts per mil
7 Std_dev_d13C per mil Standard deviation of the mean delta 13C value
missing data are represented by -9999
Site boundaries: (All latitude and longitude given in decimal degrees)
Site (Region) Westernmost Longitude Easternmost Longitude Northernmost Latitude Southernmost Latitude Geodetic Datum
Rondonia, BrazilAmazon Basin (Amazon Basin) -74.572 -58.798 -1.817 -16.472 World Geodetic System, 1984 (WGS-84)
代码
!pip install leafmap
!pip install pandas
!pip install folium
!pip install matplotlib
!pip install mapclassify
import pandas as pd
import leafmap
url = "https://github.com/opengeos/NASA-Earth-Data"
df = pd.read_csv(url, sep="\t")
df
leafmap.nasa_data_login()
results, gdf = leafmap.nasa_data_search(
short_name="CD06_C_Isotopes_1120",
cloud_hosted=True,
bounding_box=(-74.57, -16.47, -58.8, -1.82),
temporal=("1991-08-12", "2003-01-26"),
count=-1, # use -1 to return all datasets
return_gdf=True,
)
gdf.explore()
leafmap.nasa_data_download(results[:5], out_dir="data")
引用
Mayorga, E., A.K. Aufdenkampe, C.A. Masiello, A.V. Krusche, J.I. Hedges, P.D. Quay, J.E. Richey, and T.A. Brown. 2012. LBA-ECO CD-06 Isotopic Composition of Carbon Fractions, Amazon Basin River Water. Data set. Available on-line [http://daac.ornl.gov ] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.
