% This file contains a station summary listing for a temperature 
% station in the Berkeley Earth database.  This station is identified as: 
% 
%    Berkeley ID#:  35916
%    Primary Name:  HACKNEY
%    Record Type:   TAVG
%    Country:       United States
%    State:         OH
%    Latitude:        40.65000 +/- 0.00500
%    Longitude:      -82.65000 +/- 0.00500
%    Elevation (m): 191.11 +/- 0.15
%    # of Months:   69
%
%    Alternate Names: Missing Station ID - 333460
%
%    IDs: coop - 333460
%         ghcnd - USC00333460
%         ncdc - 12004000
%
%    Sources: US Cooperative Summary of the Day
%             Global Historical Climatology Network - Daily
%             Multi-network Metadata System
% 
%    Site Hash:     357575f20e56195097bbb1e3f8f3be38
%    Raw Data Hash: 24b13afda569545fc61877aaefbe5216
%    Adj Data Hash: d258d727a58aa03b8df4fc64625d92bc
% 
% 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
 
  1892     2         NaN       NaN     NaN       NaN           NaN       NaN      -1.097     1.618
  1892     3         NaN       NaN     NaN       NaN           NaN       NaN      -0.007    -2.754
  1892     4         NaN       NaN     NaN       NaN           NaN       NaN       8.370    -1.055
  1892     5         NaN       NaN     NaN       NaN           NaN       NaN      13.930    -1.525
  1892     6         NaN       NaN     NaN       NaN           NaN       NaN      22.131     1.431
  1892     7         NaN       NaN     NaN       NaN           NaN       NaN      22.426    -0.356
  1892     8         NaN       NaN     NaN       NaN           NaN       NaN      21.755    -0.072
  1892     9         NaN       NaN     NaN       NaN           NaN       NaN      17.955    -0.162
  1892    10         NaN       NaN     NaN       NaN           NaN       NaN      10.804    -0.654
  1892    11         NaN       NaN     NaN       NaN           NaN       NaN       2.559    -2.255
  1892    12         NaN       NaN     NaN       NaN           NaN       NaN      -3.417    -1.949
  1893     1         NaN       NaN     NaN       NaN           NaN       NaN      -9.889    -5.605
  1893     2       1.210     2.223       0         0         1.210     2.223      -4.255    -1.539
  1893     3       4.229    -0.221       0         0         4.229    -0.221       2.052    -0.696
  1893     4      11.167     0.039       0         0        11.167     0.039       8.892    -0.533
  1893     5      15.125    -2.032       0         0        15.125    -2.032      13.528    -1.927
  1893     6      22.111    -0.291       0         0        22.111    -0.291      21.274     0.575
  1893     7      23.566    -0.919       0         0        23.566    -0.919      23.008     0.226
  1893     8      21.882    -1.648       0         0        21.882    -1.648      20.946    -0.881
  1893     9      18.481    -1.338       0         0        18.481    -1.338      17.934    -0.182
  1893    10      13.011    -0.150       0         0        13.011    -0.150      11.686     0.229
  1893    11       4.148    -2.369       0         0         4.148    -2.369       3.592    -1.222
  1893    12       0.824     0.589       0         0         0.824     0.589      -1.669    -0.201
  1894     1       1.344     3.925       0         0         1.344     3.925      -1.190     3.094
  1894     2      -0.298     0.715       0         0        -0.298     0.715      -4.106    -1.390
  1894     3       7.921     3.470       0         0         7.921     3.470       6.171     3.424
  1894     4      10.185    -0.943       0         0        10.185    -0.943       9.761     0.336
  1894     5      15.789    -1.369       0         0        15.789    -1.369      14.667    -0.787
  1894     6      21.926    -0.476       0         0        21.926    -0.476      21.822     1.123
  1894     7      23.746    -0.740       0         0        23.746    -0.740      23.246     0.464
  1894     8      22.724    -0.806       0         0        22.724    -0.806      20.885    -0.942
  1894     9      20.685     0.866       0         0        20.685     0.866      19.642     1.526
  1894    10      11.810    -1.351       0         0        11.810    -1.351      11.501     0.044
  1894    11       3.019    -3.498       0         0         3.019    -3.498       2.377    -2.436
  1894    12       1.039     0.804       0         0         1.039     0.804      -0.050     1.417
  1895     1      -3.584    -1.003       0         0        -3.584    -1.003      -7.098    -2.813
  1895     2      -5.972    -4.960       0         0        -5.972    -4.960      -8.481    -5.765
  1895     3       2.975    -1.476       0         0         2.975    -1.476       0.076    -2.672
  1895     4      12.000     0.872       0         0        12.000     0.872      10.164     0.739
  1895     5      16.918    -0.240       0         0        16.918    -0.240      15.615     0.161
  1895     6      22.685     0.283       0         0        22.685     0.283      22.025     1.326
  1895     7      23.074    -1.411       0         0        23.074    -1.411      21.410    -1.372
  1895     8      23.178    -0.352       1         0           NaN       NaN      22.122     0.296
  1895     9      20.593     0.773       0         0        20.593     0.773      20.073     1.957
  1895    10       9.835    -3.325       0         0         9.835    -3.325       7.335    -4.123
  1895    11       7.072     0.555       0         0         7.072     0.555       4.120    -0.694
  1895    12       1.531     1.295       0         0         1.531     1.295      -0.798     0.669
  1896     1       1.866     4.447       0         0         1.866     4.447      -3.718     0.567
  1896     2      -0.159     0.854       1         0           NaN       NaN      -2.989    -0.273
  1896     3       1.445    -3.006       0         0         1.445    -3.006      -0.911    -3.659
  1896     4      13.900     2.772       0         0        13.900     2.772      12.983     3.558
  1896     5      18.992     1.834       0         0        18.992     1.834      19.206     3.752
  1896     6      21.630    -0.772       0         0        21.630    -0.772      20.508    -0.191
  1896     7      23.389    -1.096       0         0        23.389    -1.096      22.348    -0.434
  1896     8      20.624    -2.905       0         0        20.624    -2.905      21.367    -0.459
  1896     9      16.827    -2.993       0         0        16.827    -2.993      16.111    -2.006
  1896    10       9.263    -3.898       0         0         9.263    -3.898       8.642    -2.816
  1896    11       4.693    -1.823       0         0         4.693    -1.823       6.362     1.548
  1896    12         NaN       NaN     NaN       NaN           NaN       NaN      -1.222     0.245
  1897     1         NaN       NaN     NaN       NaN           NaN       NaN      -5.665    -1.381
  1897     2       2.264     3.277       0         0         2.264     3.277      -1.912     0.804
  1897     3         NaN       NaN     NaN       NaN           NaN       NaN       3.793     1.046
  1897     4      10.465    -0.663       0         0        10.465    -0.663       8.710    -0.715
  1897     5         NaN       NaN     NaN       NaN           NaN       NaN      12.960    -2.495
  1897     6         NaN       NaN     NaN       NaN           NaN       NaN      19.223    -1.476
  1897     7         NaN       NaN     NaN       NaN           NaN       NaN      23.792     1.010
  1897     8         NaN       NaN     NaN       NaN           NaN       NaN      19.859    -1.968
  1897     9         NaN       NaN     NaN       NaN           NaN       NaN      19.167     1.051
  1897    10      15.839     2.678       0         0        15.839     2.678      13.696     2.238
  1897    11       8.267     1.750       0         0         8.267     1.750       4.885     0.071
  1897    12         NaN       NaN     NaN       NaN           NaN       NaN      -1.515    -0.048
  1898     1       1.387     3.968       0         0         1.387     3.968      -1.757     2.528
  1898     2      -0.832     0.181       0         0        -0.832     0.181      -2.857    -0.141
  1898     3       9.421     4.970       0         0         9.421     4.970       5.960     3.213
  1898     4      10.317    -0.811       0         0        10.317    -0.811       7.952    -1.473
  1898     5      18.932     1.775       0         0        18.932     1.775      15.278    -0.176
  1898     6         NaN       NaN     NaN       NaN           NaN       NaN      21.627     0.928
  1898     7      22.924    -1.561       0         0        22.924    -1.561      23.736     0.954
  1898     8      24.734     1.204       0         0        24.734     1.204      22.249     0.422
  1898     9      20.813     0.994       0         0        20.813     0.994      19.882     1.766
  1898    10      13.473     0.312       0         0        13.473     0.312      11.633     0.175
  1898    11       6.845     0.328       0         0         6.845     0.328       3.110    -1.703
  1898    12      -0.898    -1.134       0         0        -0.898    -1.134      -3.225    -1.757
  1899     1      -1.865     0.716       1         0           NaN       NaN      -4.077     0.207
  1899     2      -1.892    -0.879       1         0           NaN       NaN      -7.165    -4.449
  1899     3       5.942     1.491       0         0         5.942     1.491       1.088    -1.659
  1899     4         NaN       NaN     NaN       NaN           NaN       NaN      11.326     1.901
  1899     5      17.492     0.334       0         0        17.492     0.334      16.601     1.146
  1899     6      22.937     0.534       0         0        22.937     0.534      21.849     1.149
  1899     7      23.981    -0.505       0         0        23.981    -0.505      22.959     0.177
  1899     8      22.235    -1.294       0         0        22.235    -1.294      22.649     0.822
  1899     9      17.633    -2.186       0         0        17.633    -2.186      17.327    -0.789
  1899    10         NaN       NaN     NaN       NaN           NaN       NaN      13.804     2.346
  1899    11         NaN       NaN     NaN       NaN           NaN       NaN       6.286     1.472
  1899    12         NaN       NaN     NaN       NaN           NaN       NaN      -2.356    -0.889
  1900     1         NaN       NaN     NaN       NaN           NaN       NaN      -2.312     1.972
  1900     2         NaN       NaN     NaN       NaN           NaN       NaN      -5.355    -2.639
  1900     3         NaN       NaN     NaN       NaN           NaN       NaN      -1.096    -3.844
  1900     4         NaN       NaN     NaN       NaN           NaN       NaN       9.445     0.020
  1900     5         NaN       NaN     NaN       NaN           NaN       NaN      16.571     1.117
  1900     6         NaN       NaN     NaN       NaN           NaN       NaN      20.505    -0.194
  1900     7         NaN       NaN     NaN       NaN           NaN       NaN      22.941     0.159
  1900     8         NaN       NaN     NaN       NaN           NaN       NaN      24.184     2.358
  1900     9         NaN       NaN     NaN       NaN           NaN       NaN      20.317     2.201