Pandas : a library for data manipulation: https://pandas.pydata.org
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## API Quick how-to
The service URL is <b>nds.iaea.org/relnsd/v0/data?</b>
followed by parameters. For example:
<br> nds.iaea.org/relnsd/v0/data?<b>fields=decay_rads&nuclides=241am&rad_types=g</b>.<br>
The <a href=//nds.iaea.org/relnsd/vcharthtml/api_v0_guide.html><b>API v0 guide</b></a> gives the detailed description, here a short summary
<br><br>
<b>`fields=`</b> specifies what is retrieved (at the bottom of this notebook there is the list of the columns for each choice)
<br> these are the possible options<br><br>
ground_states <br> levels <br> gammas <br> decay_rads <br> cumulative_fy <br> independent_fy <br> bin_beta
<br><br>
for ground_states, levels, gammas, decay_rads, bin_beta it is mandatory to add the <b>nuclide</b> parameter<br>
`fields=levels&nuclides=135xe`
<br><br>
for decay_rads and bin_beta also the parameter <b>rad_types</b> is mandatory.
<br>For decay_rads values are a, bp, bm, g, e, x (alpha, beta+, beta-, gamma, electron, X-ray)
<br>For bin_beta values are bp, bm (beta+, beta-)
<br>
`fields=decay_rads&nuclides=135xe&rad_types=bm`
<br>Be aware e aware of the fields <b>"p_energy" and
"decay"</b>. For
the same nuclide there can
be more than one decay mode, and, in case of metastable states, more states than the simple ground
state. This might result in gamma lines having the
same energy, but emitted by different decays
<br><br>
for _cumulative_fy, independent_fy_ one has to specify the <b>parent</b> and/or the <b>product</b>. Parents are _232th, 233u, 235u, 238u, 237np, 239pu, 241pu, 241am_
<br>
`fields=cumulative_fy&parents=233u&product=135xe `
<div style="margin-top:10px;font-size:18pt;font-weight:bold;"> Examples</div>
<br>
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
# the service URL
livechart = "https://nds.iaea.org/relnsd/v1/data?"
# There have been cases in which the service returns an HTTP Error 403: Forbidden
# use this workaround
import urllib.request
def lc_pd_dataframe(url):
req = urllib.request.Request(url)
req.add_header('User-Agent', 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:77.0) Gecko/20100101 Firefox/77.0')
return pd.read_csv(urllib.request.urlopen(req))
fields=decay_rads specifies to retrieve the decay radiations, nuclides=241am specifies the parent of the decay (241am), rad_types=g for the radiation type (gamma).
# load data into a dataframe
df = lc_pd_dataframe(livechart + "fields=decay_rads&nuclides=241am&rad_types=g").query("p_energy==0")
df = df[pd.to_numeric(df['intensity'],errors='coerce').notna()] # remove blanks (unknown intensities)
df.intensity = df['intensity'].astype(float) # convert to numeric. Note how one can specify the field by attribute or by string
fig = px.scatter(df, x="energy", y="intensity", log_y=True) # plot in log scale
fig.show()
The fields to be retieved are decay_rads, the nuclide is 100-Nb, and the radiation type is bm
The transition types in the plot legend are not decoded. A stands for Allowed, 1NU for 1st non unique, ...
url = livechart+"fields=decay_rads&nuclides=100nb&rad_types=bm"
df=lc_pd_dataframe(url)[['transition_type','log_ft']] # optional:load only transition_type and log_ft
df = df[pd.to_numeric(df.log_ft,errors='coerce').notna()] # remove unknowns and convert to numeric values
df.log_ft = df.log_ft.astype(float)
ans = [pd.DataFrame(y) for x, y in df.groupby('transition_type', as_index=False)] # group log ft values by transition
fig = go.Figure()
for a in ans:
ct = pd.cut(a.log_ft, bins=10) # bin each grouping
tst = ct.apply(lambda x: x.mid).value_counts(sort=False) # assign the mid value to each bin
fig.add_trace(go.Scatter(x=tst.index.values, y = tst, mode="markers", line_shape='spline', name=a.transition_type.iloc[0]))
fig.show()
url=livechart+"fields=bin_beta&nuclides=135xe&rad_types=bm&metastable_seqno=1"
df=lc_pd_dataframe(url)
fig = px.scatter(df, x="bin_en", y="dn_de")
fig.add_trace(go.Scatter(x=df["bin_en"], y=df["dn_de_nu"]))
fig.show()
The pandas query function acts on the loaded dataset.
url=livechart+"fields=ground_states&nuclides=all"
df=lc_pd_dataframe(url)[['symbol','n','half_life_sec']].query('symbol=="Ac"') # further filter
fig = px.scatter(df, x="n", y="half_life_sec", log_y=True)
fig.show()
Use the mouse to rotate and zoom
url=livechart+"fields=cumulative_fy&parents=235u"
df = lc_pd_dataframe(url) [['z_daughter','a_daughter',"element_daughter",'cumulative_fast_fy']]
df = df[pd.to_numeric(df.cumulative_fast_fy,errors='coerce').notna()]
df.cumulative_fast_fy = df.cumulative_fast_fy.astype(float)
fig = go.Figure(data=[go.Scatter3d(
x=df["z_daughter"],
y=df["a_daughter"]-df["z_daughter"],
z=df["cumulative_fast_fy"],
mode='markers',
text = df['a_daughter'].apply(str) + df["element_daughter"],
marker=dict(
size=7
,color=df["cumulative_fast_fy"] # array/list of values setting the color
,colorscale='Viridis' # colorscale
)
)])
camera = dict( # initial spacial settings
up=dict(x=0, y=0, z=1),
center=dict(x=0, y=0, z=0),
eye=dict(x=0.1, y=2, z=-1.5) # view it from the bottom
)
fig.update_layout(scene_camera=camera, margin=dict(l=0, r=0, b=0, t=0), height=900)
fig.show()
# 2D plot
fig2 = go.Figure()
fig2.add_trace(go.Scatter( x=df[df.columns[1]], y=df['cumulative_fast_fy'], mode="markers", text= df['a_daughter'].apply(str) + df["element_daughter"]))
fig2.update_layout( height=600, xaxis_title="A", yaxis_title="Yield ")
fig2.show()
• Ground state
pd.set_option('display.max_columns', None)
pd.set_option("display.max_rows", 3)
# GS
df=lc_pd_dataframe(livechart+"fields=ground_states&nuclides=236np")
df
z | n | symbol | radius | unc_r | abundance | unc_a | energy_shift | energy | unc_e | ripl_shift | jp | half_life | operator_hl | unc_hl | unit_hl | half_life_sec | unc_hls | decay_1 | decay_1_% | unc_1 | decay_2 | decay_2_% | unc_2 | decay_3 | decay_3_% | unc_3 | isospin | magnetic_dipole | unc_md | electric_quadrupole | unc_eq | qbm | unc_qb | qbm_n | unc_qbmn | qa | unc_qa | qec | unc_qec | sn | unc_sn | sp | unc_sp | binding | unc_ba | atomic_mass | unc_am | massexcess | unc_me | me_systematics | discovery | ENSDFpublicationcut-off | ENSDFauthors | Extraction_date | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 93 | 143 | Np | NaN | NaN | NaN | NaN | NaN | 0 | NaN | NaN | 6(-) | 155000.0 | NaN | 1 | Y | 4.891324e+12 | 3.155693e+10 | EC | 87.8 | 0.2 | B- | 12 | 0.1 | A | 0.16 | 0.04 | NaN | NaN | NaN | NaN | NaN | 476.5854 | 50.3887 | -6875.5708 | 54.4139 | 5006.629 | 50.9333 | 933.512 | 50.433 | 5736.2687 | 50.4196 | 4829.6598 | 50.4139 | 7579.2148 | 0.2136 | 2.360466e+08 | 54.129 | 43378.094 | 50.421 | N | 1949 | 1-Apr-2022 | Shaofei Zhu | 2024-03-06 |
• Level
# LEVEL
df=lc_pd_dataframe(livechart+"fields=levels&nuclides=236np")
df
z | n | symbol | idx | energy_shift | energy | unc_e | ripl_shift | jp | jp_order | half_life | operator_hl | unc_hl | unit_hl | half_life_sec | unc_hl.1 | decay_1 | decay_1_% | unc_1 | decay_2 | decay_2_% | unc_2 | decay_3 | decay_3_% | unc_3 | isospin | magnetic_dipole | unc_mn | electric_quadrupole | unc_eq | ENSDF_publication_cut-off | ENSDF_authors | Extraction_date | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 93 | 143 | Np | 0 | NaN | 0 | NaN | NaN | 6(-) | 1 | 155000.0 | NaN | 1.0 | Y | 4.891324e+12 | 3.155693e+10 | EC | 87.8 | 0.2 | B- | 12.0 | 0.1 | A | 0.16 | 0.04 | NaN | NaN | NaN | NaN | NaN | 1-Apr-2022 | Shaofei Zhu | 2024-03-06 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
4 | 93 | 143 | Np | 4 | NaN | 334 | 50.0 | NaN | (5-) | 1 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1-Apr-2022 | Shaofei Zhu | 2024-03-06 |
5 rows × 33 columns
•Gamma
# GAMMA transitions
df=lc_pd_dataframe(livechart+"fields=gammas&nuclides=135xe")
df
z | n | symbol | start_level_idx | start_level_energy | unc_sle | start_level_jp | end_level_idx | end_level_energy | unc_ele | end_level_jp | gamma_idx | energy | unc_en | relative_intensity | unc_ri | multipolarity | mixing_ratio | unc_mr | b_e1 | unc_be1 | b_e2 | unc_be2 | b_m1 | unc_bm1 | b_m2 | unc_bm2 | tot_conv_coeff | tce_unc | ensdf_publication_cut-off | ensdf_authors | Extraction_date | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 54 | 81 | Xe | 1 | 288.455 | 0.015 | 1/2+ | 0 | 0.0 | NaN | 3/2+ | 0 | 288.451 | 0.016 | 100.0 | NaN | [M1 E2] | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0.0463 | 0.0014 | 22-Jan-2008 | BALRAJ SINGH and ALEXANDER A. RODIONOV and YU... | 2024-03-06 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
96 | 54 | 81 | Xe | 37 | 3169.900 | 0.900 | NaN | 26 | 2356.5 | 0.8 | NaN | 1 | 813.400 | 0.900 | 75.0 | 20.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 22-Jan-2008 | BALRAJ SINGH and ALEXANDER A. RODIONOV and YU... | 2024-03-06 |
97 rows × 32 columns
•Cumulative fission
# CUMULATIVE_FISSION
df=lc_pd_dataframe(livechart+"fields=cumulative_fy&products=135xe")
df
z_daughter | a_daughter | element_daughter | z_parent | z_parent.1 | element_parent | daughter_level_idx | cumulative_thermal_fy | unc_ct | cumulative_fast_fy | unc_cf | cumulative_14mev_fy | unc_c14 | Extraction_date | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 54 | 135 | Xe | 92 | 235 | U | 0 | 0.066140 | 0.002249 | 0.063210 | 0.001833 | 0.064242 | 0.018117 | 2024-03-06 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
15 | 54 | 135 | Xe | 95 | 241 | Am | 2 | 0.020204 | 0.006154 | 0.020925 | 0.006764 | NaN | NaN | 2024-03-06 |
16 rows × 14 columns
•Independent fission
# INDEPENDENT FISSION
df=lc_pd_dataframe(livechart+"fields=independent_fy&parents=235u")
df
z_daughter | a_daughter | element_daughter | z_parent | a_parent | element_parent | daughter_level_idx | independent_thermal_fy | unc_it | independent_fast_fy | unc_if | independent_14mev_fy | unc_i14 | Extraction_date | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1 | 1 | H | 92 | 235 | U | 0 | 0.000017 | 0.000003 | 0.000027 | 0.000009 | 0.000026 | 0.000009 | 2024-03-06 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
1226 | 72 | 179 | Hf | 92 | 235 | U | 0 | NaN | NaN | NaN | NaN | 0.000000 | 0.000000 | 2024-03-06 |
1227 rows × 14 columns
•Decay radiation
# DECAY_RADIATION, type alpha
df=lc_pd_dataframe(livechart+"fields=decay_radiations&nuclides=238u&rad_types=a")
df
3 |
---|
# DECAY_RADIATION, type gamma
df=lc_pd_dataframe(livechart+"fields=decay_rads&nuclides=238u&rad_types=g")
df
energy | unc_en | intensity | unc_i | start_level_energy | end_level_energy | multipolarity | mixing_ratio | unc_mr | conversion_coeff | unc_cc | p_z | p_n | p_symbol | p_energy_shift | p_energy | unc_pe | jp | half_life | operator_hl | unc_hl | unit_hl | half_life_sec | unc_hls | decay | decay_% | unc_d | q | unc_q | d_z | d_n | d_symbol | ensdf_publication_cut-off | ensdf_authors | Extraction_date | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 44.915 | NaN | NaN | NaN | 44.916 | 0.0 | E2 | NaN | NaN | NaN | NaN | 92 | 146 | U | NaN | 2557.9 | 0.5 | 0+ | 280.0 | NaN | 6 | ns | 2.800000e-07 | 6.000000e-09 | IT | 97.4 | 0.4 | NaN | NaN | 92 | 146 | U | 1-Jun-2014 | E. BROWNE and J. K. TULI | 2024-03-06 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
19 | 114.446 | NaN | 0.00798 | 0.00162 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 92 | 146 | U | NaN | 2557.9 | 0.5 | 0+ | 280.0 | NaN | 6 | ns | 2.800000e-07 | 6.000000e-09 | IT | 97.4 | 0.4 | NaN | NaN | 92 | 146 | U | 1-Jun-2014 | E. BROWNE and J. K. TULI | 2024-03-06 |
20 rows × 35 columns
# DECAY_RADIATION, type x-ray
df=lc_pd_dataframe(livechart+"fields=decay_rads&nuclides=238u&rad_types=x")
df
energy | unc_en | intensity | unc_i | type | shell | p_z | p_n | p_symbol | p_energy_shift | p_energy | unc_pe | jp | half_life | operator_hl | unc_hl | unit_hl | half_life_sec | unc_hls | decay | decay_% | unc_d | q | unc_q | d_z | d_n | d_symbol | ensdf_publication_cut-off | ensdf_authors | Extraction_date | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 15.784 | NaN | 7.32262 | 0.958957 | X | L | 92 | 146 | U | NaN | 0.0 | NaN | 0+ | 4.468000e+09 | NaN | 6 | Y | 1.409963e+17 | 1.893416e+14 | A | 100.0 | NaN | 4269.9 | 21.0 | 90 | 144 | Th | 1-Jun-2006 | E. BROWNE and J. K. TULI | 2024-03-06 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
11 | 114.446 | NaN | 0.00798 | 0.001620 | X | KpB2 | 92 | 146 | U | NaN | 2557.9 | 0.5 | 0+ | 2.800000e+02 | NaN | 6 | ns | 2.800000e-07 | 6.000000e-09 | IT | 97.4 | 0.4 | NaN | NaN | 92 | 146 | U | 1-Jun-2014 | E. BROWNE and J. K. TULI | 2024-03-06 |
12 rows × 30 columns
# DECAY_RADIATION, type beta-
df=lc_pd_dataframe(livechart+"fields=decay_rads&nuclides=135xe&rad_types=bm")
df
mean_energy | unc_me | intensity_beta | unc_ib | daughter_level_energy | max_energy | unc_me.1 | log_ft | unc_lf | transition_type | anti_nu_mean_energy | unc_ame | p_z | p_n | p_symbol | p_energy_shift | p_energy | unc_pe | jp | half_life | operator_hl | unc_hl | unit_hl | half_life_sec | unc_hls | decay | decay_% | unc_d | q | unc_q | d_z | d_n | d_symbol | ensdf_publication_cut-off | ensdf_authors | Extraction_date | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 26.9 | 1.1 | 0.123 | 0.006 | 1062.42 | 103 | 4 | 5.71 | 0.06 | NaN | NaN | NaN | 54 | 81 | Xe | NaN | 0.000 | NaN | 3/2+ | 9.14 | NaN | 2 | h | 32904.0 | 72 | B- | 100.0 | NaN | 1169 | 4 | 55 | 80 | Cs | 22-Jan-2008 | BALRAJ SINGH and ALEXANDER A. RODIONOV and YU... | 2024-03-06 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
9 | 641.4 | 1.7 | 0.600 | 0.600 | 0.00 | 1692 | 4 | 8.50 | NaN | 1U | NaN | NaN | 54 | 81 | Xe | NaN | 526.551 | 0.013 | 11/2- | 15.29 | NaN | 5 | m | 917.4 | 3 | B- | 0.6 | NaN | 1169 | 4 | 55 | 80 | Cs | 22-Jan-2008 | BALRAJ SINGH and ALEXANDER A. RODIONOV and YU... | 2024-03-06 |
10 rows × 36 columns
# DECAY_RADIATION, type electron
df=lc_pd_dataframe(livechart+"fields=decay_rads&nuclides=238u&rad_types=e")
df
energy | unc_en | intensity | unc_i | type | shell | p_z | p_n | p_symbol | p_energy_shift | p_energy | unc_pe | jp | half_life | operator_hl | unc_hl | unit_hl | half_life_sec | unc_hls | decay | decay_% | unc_d | q | unc_q | d_z | d_n | d_symbol | ensdf_publication_cut-off | ensdf_authors | Extraction_date | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 13.113 | NaN | 8.061035 | 1.047936 | AU | L | 92 | 146 | U | NaN | 0.0 | NaN | 0+ | 4.468000e+09 | NaN | 6 | Y | 1.409963e+17 | 1.893416e+14 | A | 100.0 | NaN | 4269.9 | 21.0 | 90 | 144 | Th | 1-Jun-2006 | E. BROWNE and J. K. TULI | 2024-03-06 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
29 | 2512.371 | NaN | 0.000301 | 0.000074 | CE | O | 92 | 146 | U | NaN | 2557.9 | 0.5 | 0+ | 2.800000e+02 | NaN | 6 | ns | 2.800000e-07 | 6.000000e-09 | IT | 97.4 | 0.4 | NaN | NaN | 92 | 146 | U | 1-Jun-2014 | E. BROWNE and J. K. TULI | 2024-03-06 |
30 rows × 30 columns
# DECAY_RADIATION, type beta+/electron capture
df=lc_pd_dataframe(livechart+"fields=decay_rads&nuclides=236np&rad_types=bp")
df
mean_energy | unc_me | intensity_beta | unc_ib | daughter_level_energy | energy_ec | unc_eec | intensity_ec | unc_ie | log_ft | unc_lf | transition_type | nu_mean_energy | unc_ame | p_z | p_n | p_symbol | p_energy_shift | p_energy | unc_pe | jp | half_life | operator_hl | unc_hl | unit_hl | half_life_sec | unc_hls | decay | decay_% | unc_d | q | unc_q | d_z | d_n | d_symbol | ensdf_publication_cut-off | ensdf_authors | Extraction_date | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | NaN | NaN | NaN | NaN | 309.788 | 620 | 50 | 87.0 | 4.0 | 14.1 | 0.10 | 1NU | NaN | NaN | 93 | 143 | Np | NaN | 0 | NaN | 6(-) | 155000.0 | NaN | 1 | Y | 4.891324e+12 | 3.155693e+10 | EC | 87.8 | 0.2 | 934 | 50 | 92 | 144 | U | 1-Apr-2022 | Shaofei Zhu | 2024-03-06 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
4 | NaN | NaN | NaN | NaN | 0.000 | 987 | 71 | 40.0 | 7.0 | 7.1 | 0.11 | 1NU | NaN | NaN | 93 | 143 | Np | NaN | 57 | 51.0 | 1(-) | 22.5 | NaN | 4 | h | 8.100000e+04 | 1.440000e+03 | EC | 51.0 | 1.0 | 934 | 50 | 92 | 144 | U | 1-Apr-2022 | Shaofei Zhu | 2024-03-06 |
5 rows × 38 columns
•Beta and Neutrino spectra
df=lc_pd_dataframe(livechart+"fields=bin_beta&nuclides=135xe&rad_types=bm&metastable_seqno=1")
df
p_z | p_n | p_symbol | p_energy | d_z | d_n | d_symbol | bin_en | dn_de | unc_dn_de | dn_de_nu | unc_dn_de_nu | extraction_date | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 54 | 81 | Xe | 526.551 | 55 | 80 | Cs | 0.0 | 0.00171 | 0.000062 | 0.000000 | 0.000000 | 2024-03-06 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
384 | 54 | 81 | Xe | 526.551 | 55 | 80 | Cs | 915.2 | 0.00000 | 0.000000 | 0.002075 | 0.000525 | 2024-03-06 |
385 rows × 13 columns