% This file contains a station summary listing for a temperature 
% station in the Berkeley Earth database.  This station is identified as: 
% 
%    Berkeley ID#:  36443
%    Primary Name:  ASHLAND 2 NE
%    Record Type:   TAVG
%    Country:       United States
%    State:         NE
%    Latitude:        41.05000 +/- 0.00500
%    Longitude:      -96.35000 +/- 0.00500
%    Elevation (m): 329.12 +/- 15.01
%    # of Months:   51
%
%    Alternate Names: Missing Station ID - 250372
%
%    IDs: coop - 250372
%         ghcnd - USC00250372
%         ncdc - 20013164
%
%    Sources: US Cooperative Summary of the Day
%             Global Historical Climatology Network - Daily
%             Multi-network Metadata System
% 
%    Site Hash:     10234057bff3420f628fdb953faa4a31
%    Raw Data Hash: 911865fd9e82c3795f180f5d187dfc6e
%    Adj Data Hash: 602e8dffe9b220ee2f650bd40522fd9e
% 
% The data for this station is presented below in several columns and in 
% several forms.  The temperature values are reported as "raw", 
% "adjusted", and "regional expectation".  
%
% The "raw" values reflect the observations as originally ingested by 
% the Berkeley Earth system from one or more originating archive(s).  
% These "raw" values may reflect the merger of more than one temperature 
% time series if multiple archives reported values for this location.
% Alongside the raw data we have also provided a flag indicating which 
% values failed initial quality control checks.  A further column 
% dates at which the raw data may be subject to continuity "breaks" 
% due to documented station moves (denoted "1"), prolonged measurement 
% gaps (denoted "2"), documented time of observation changes (denoted "3")
% and other empirically determined inhomogeneities (denoted "4"). 
%
% In many cases, raw temperature data contains a number of artifacts, 
% caused by issues such as typographical errors, instrumentation changes, 
% station moves, and urban or agricultural development near the station.  
% The Berkeley Earth analysis process attempts to identify and estimate 
% the impact of various kinds of data quality problems by comparing each 
% time series to neighboring series.  At the end of the analysis process, 
% the "adjusted" data is created as an estimate of what the weather at 
% this location might have looked like after removing apparent biases.  
% This "adjusted" data will generally to be free from quality control 
% issues and be regionally homogeneous.  Some users may find this 
% "adjusted" data that attempts to remove apparent biases more 
% suitable for their needs, while other users may prefer to work 
% with raw values.
%
% Lastly, we have provided a "regional expectation" time series, based 
% on the Berkeley Earth expected temperatures in the neighborhood of the 
% station.  This incorporates information from as many weather stations as 
% are available for the local region surrounding this location.  Note
% that the regional expectation may be a systematically a bit warmer or
% colder than the weather stations by a few degrees due to differences 
% in mean elevation and other local characteristics.
%
% For each temperature time series, we have also included an "anomaly" 
% time series that removes both the seasonality and the long-term mean.
% These anomalies may provide an easier way of seeing changes through 
% time.
%
% Reported temperatures are in Celsius and reflect monthly averages.  As
% these files are intended to be summaries for convenience, additional 
% information, including more detailed flagging and metadata, may be 
% available in our whole data set files.
%
% The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48
% 
%                   Raw Data           QC    Continuity     Adjusted Data      Regional Expectation
% Year, Month, Temperature, Anomaly, Failed,   Breaks,   Temperature, Anomaly, Temperature, Anomaly
 
  1894     1         NaN       NaN     NaN       NaN           NaN       NaN      -7.381    -0.838
  1894     2         NaN       NaN     NaN       NaN           NaN       NaN      -6.324    -3.523
  1894     3         NaN       NaN     NaN       NaN           NaN       NaN       5.155     2.364
  1894     4         NaN       NaN     NaN       NaN           NaN       NaN      12.441     1.626
  1894     5         NaN       NaN     NaN       NaN           NaN       NaN      17.293     0.221
  1894     6         NaN       NaN     NaN       NaN           NaN       NaN      22.872     0.595
  1894     7         NaN       NaN     NaN       NaN           NaN       NaN      24.672    -0.173
  1894     8         NaN       NaN     NaN       NaN           NaN       NaN      24.808     1.211
  1894     9         NaN       NaN     NaN       NaN           NaN       NaN      18.784     0.192
  1894    10         NaN       NaN     NaN       NaN           NaN       NaN      12.422     0.141
  1894    11         NaN       NaN     NaN       NaN           NaN       NaN       1.945    -1.944
  1894    12         NaN       NaN     NaN       NaN           NaN       NaN      -0.195     2.642
  1895     1      -6.130    -0.861       0         0        -6.130    -0.861      -9.077    -2.534
  1895     2      -5.992    -4.467       0         0        -5.992    -4.467      -6.477    -3.676
  1895     3       2.599    -1.468       0         0         2.599    -1.468       2.033    -0.758
  1895     4      15.333     3.243       0         0        15.333     3.243      13.787     2.972
  1895     5      19.624     1.276       0         0        19.624     1.276      17.360     0.288
  1895     6         NaN       NaN     NaN       NaN           NaN       NaN      21.163    -1.115
  1895     7      25.914    -0.206       0         0        25.914    -0.206      22.981    -1.864
  1895     8      24.588    -0.285       0         0        24.588    -0.285      22.820    -0.778
  1895     9      22.889     3.023       0         0        22.889     3.023      20.798     2.207
  1895    10      10.484    -3.071       0         0        10.484    -3.071       9.692    -2.588
  1895    11       4.259    -0.905       0         0         4.259    -0.905       2.371    -1.518
  1895    12      -0.358     1.203       0         0        -0.358     1.203      -2.199     0.638
  1896     1      -1.362     3.906       0         0        -1.362     3.906      -4.084     2.460
  1896     2       0.996     2.522       0         0         0.996     2.522      -0.358     2.443
  1896     3       0.968    -3.098       0         0         0.968    -3.098      -0.706    -3.497
  1896     4      14.944     2.855       0         0        14.944     2.855      13.825     3.010
  1896     5      19.839     1.491       0         0        19.839     1.491      18.892     1.819
  1896     6      23.444    -0.108       1         0           NaN       NaN      21.815    -0.462
  1896     7      24.892    -1.228       0         0        24.892    -1.228      23.506    -1.339
  1896     8      24.014    -0.858       0         0        24.014    -0.858      22.650    -0.948
  1896     9      16.296    -3.570       0         0        16.296    -3.570      15.337    -3.254
  1896    10      10.699    -2.856       0         0        10.699    -2.856      10.266    -2.014
  1896    11       2.111    -3.053       0         0         2.111    -3.053      -0.894    -4.783
  1896    12       1.523     3.085       0         0         1.523     3.085       1.090     3.927
  1897     1      -6.389    -1.121       0         0        -6.389    -1.121      -7.452    -0.909
  1897     2      -2.718    -1.193       0         0        -2.718    -1.193      -2.825    -0.024
  1897     3       1.667    -2.400       0         0         1.667    -2.400       0.754    -2.037
  1897     4       9.500    -2.590       0         0         9.500    -2.590      10.023    -0.792
  1897     5      17.814    -0.534       0         0        17.814    -0.534      15.826    -1.246
  1897     6      24.241     0.688       0         0        24.241     0.688      22.127    -0.150
  1897     7      27.944     1.824       0         0        27.944     1.824      25.459     0.613
  1897     8      22.993    -1.880       0         0        22.993    -1.880      21.463    -2.134
  1897     9      23.831     3.965       0         0        23.831     3.965      22.337     3.746
  1897    10      14.749     1.194       0         0        14.749     1.194      14.748     2.468
  1897    11       1.926    -3.238       0         0         1.926    -3.238       2.023    -1.866
  1897    12      -4.892    -3.331       0         0        -4.892    -3.331      -6.425    -3.589
  1898     1      -1.452     3.817       0         0        -1.452     3.817      -4.227     2.317
  1898     2      -0.397     1.129       0         0        -0.397     1.129      -2.142     0.659
  1898     3       3.996    -0.070       0         0         3.996    -0.070       2.874     0.083
  1898     4      11.259    -0.831       0         0        11.259    -0.831      10.129    -0.686
  1898     5      17.419    -0.928       0         0        17.419    -0.928      15.638    -1.434
  1898     6      23.481    -0.071       1         0           NaN       NaN      22.809     0.532
  1898     7      25.699    -0.421       0         0        25.699    -0.421      23.799    -1.046
  1898     8      25.896     1.023       0         0        25.896     1.023      23.995     0.397
  1898     9      19.630    -0.237       0         0        19.630    -0.237      18.914     0.323
  1898    10       8.477    -5.078       0         0         8.477    -5.078       9.844    -2.436
  1898    11       1.426    -3.738       0         0         1.426    -3.738       0.898    -2.991
  1898    12      -5.771    -4.209       0         0        -5.771    -4.209      -6.184    -3.347
  1899     1      -5.072     0.197       0         0        -5.072     0.197      -5.973     0.571
  1899     2     -10.397    -8.871       0         0       -10.397    -8.871     -10.124    -7.324
  1899     3      -1.971    -6.038       0         0        -1.971    -6.038      -3.434    -6.226
  1899     4      10.870    -1.219       0         0        10.870    -1.219      10.251    -0.563
  1899     5         NaN       NaN     NaN       NaN           NaN       NaN      16.769    -0.303
  1899     6         NaN       NaN     NaN       NaN           NaN       NaN      22.247    -0.030
  1899     7         NaN       NaN     NaN       NaN           NaN       NaN      23.430    -1.415
  1899     8         NaN       NaN     NaN       NaN           NaN       NaN      24.221     0.623
  1899     9         NaN       NaN     NaN       NaN           NaN       NaN      17.916    -0.675
  1899    10         NaN       NaN     NaN       NaN           NaN       NaN      15.278     2.998
  1899    11         NaN       NaN     NaN       NaN           NaN       NaN       7.400     3.510
  1899    12         NaN       NaN     NaN       NaN           NaN       NaN      -4.124    -1.287
  1900     1         NaN       NaN     NaN       NaN           NaN       NaN      -2.987     3.556
  1900     2         NaN       NaN     NaN       NaN           NaN       NaN      -8.005    -5.205
  1900     3         NaN       NaN     NaN       NaN           NaN       NaN       1.101    -1.690
  1900     4         NaN       NaN     NaN       NaN           NaN       NaN      12.515     1.700