% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35087 % Primary Name: OKETO % Record Type: TAVG % Country: United States % State: KS % Latitude: 39.96670 +/- 0.00005 % Longitude: -96.60000 +/- 0.00005 % Elevation (m): 374.90 +/- 0.05 % # of Months: 234 % % IDs: coop - 145964 % ghcnd - USC00145964 % ncdc - 20007989 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7ef96c531b773b4a553c05b5bda85e27 % Raw Data Hash: dfdab634aaaef443697c83d7159c35ac % Adj Data Hash: c47f4dc372e917454ac9cdb01e4bc1dc % % 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 1930 1 NaN NaN NaN NaN NaN NaN -10.090 -6.537 1930 2 NaN NaN NaN NaN NaN NaN 7.079 7.139 1930 3 NaN NaN NaN NaN NaN NaN 4.889 -0.311 1930 4 NaN NaN NaN NaN NaN NaN 14.806 2.332 1930 5 NaN NaN NaN NaN NaN NaN 17.084 -1.124 1930 6 NaN NaN NaN NaN NaN NaN 22.033 -1.264 1930 7 NaN NaN NaN NaN NaN NaN 27.620 1.577 1930 8 NaN NaN NaN NaN NaN NaN 26.062 1.045 1930 9 NaN NaN NaN NaN NaN NaN 21.275 1.080 1930 10 NaN NaN NaN NaN NaN NaN 12.937 -0.989 1930 11 NaN NaN NaN NaN NaN NaN 7.477 1.578 1930 12 NaN NaN NaN NaN NaN NaN 0.444 0.754 1931 1 1.667 5.417 0 0 1.637 5.388 0.982 4.535 1931 2 4.222 4.480 0 0 4.190 4.448 4.226 4.287 1931 3 3.333 -1.670 0 0 3.342 -1.661 2.742 -2.459 1931 4 12.111 -0.166 0 0 12.227 -0.050 12.178 -0.297 1931 5 15.444 -2.565 0 0 15.590 -2.420 15.707 -2.500 1931 6 25.778 2.678 0 0 25.817 2.717 25.493 2.196 1931 7 27.444 1.599 0 0 27.416 1.570 26.968 0.925 1931 8 24.333 -0.487 0 0 24.395 -0.425 23.607 -1.410 1931 9 24.000 4.002 0 0 24.156 4.158 24.303 4.108 1931 10 15.611 1.882 0 0 15.710 1.980 16.257 2.330 1931 11 7.500 1.798 0 0 7.482 1.780 8.705 2.806 1931 12 3.889 4.396 0 0 3.842 4.348 4.158 4.467 1932 1 -4.111 -0.361 0 0 -4.140 -0.390 -3.127 0.426 1932 2 2.278 2.536 0 0 2.246 2.503 3.537 3.598 1932 3 1.333 -3.670 0 0 1.342 -3.661 0.814 -4.386 1932 4 13.444 1.167 0 0 13.560 1.283 13.702 1.227 1932 5 18.111 0.101 0 0 18.256 0.246 18.362 0.155 1932 6 23.167 0.067 0 0 23.206 0.106 23.457 0.160 1932 7 26.889 1.043 0 0 26.860 1.015 26.612 0.570 1932 8 25.111 0.291 0 0 25.172 0.352 25.205 0.188 1932 9 18.667 -1.331 0 0 18.823 -1.175 19.036 -1.159 1932 10 11.778 -1.952 0 0 11.876 -1.853 12.588 -1.339 1932 11 3.333 -2.369 0 0 3.316 -2.386 3.450 -2.449 1932 12 -3.556 -3.049 0 0 -3.603 -3.096 -2.729 -2.420 1933 1 3.000 6.750 0 0 2.971 6.721 2.942 6.495 1933 2 -1.667 -1.409 0 0 -1.699 -1.441 -1.367 -1.306 1933 3 5.556 0.553 0 0 5.565 0.562 5.538 0.338 1933 4 11.222 -1.055 0 0 11.338 -0.939 12.255 -0.219 1933 5 16.556 -1.454 0 0 16.701 -1.309 17.626 -0.581 1933 6 27.444 4.345 0 0 27.483 4.384 26.879 3.582 1933 7 26.778 0.932 0 0 26.749 0.904 26.653 0.611 1933 8 24.000 -0.820 0 0 24.061 -0.759 24.047 -0.970 1933 9 22.444 2.447 0 0 22.600 2.602 22.619 2.423 1933 10 12.611 -1.118 0 0 12.710 -1.020 13.579 -0.347 1933 11 7.444 1.742 0 0 7.427 1.725 7.658 1.758 1933 12 2.167 2.673 0 0 2.119 2.626 2.727 3.037 1934 1 0.556 4.306 0 0 0.526 4.277 0.060 3.613 1934 2 -0.222 0.036 0 0 -0.254 0.003 0.261 0.322 1934 3 5.111 0.108 0 0 5.120 0.117 4.403 -0.797 1934 4 13.611 1.334 0 0 13.727 1.450 13.663 1.189 1934 5 21.333 3.323 0 0 21.478 3.469 20.721 2.514 1934 6 27.611 4.511 0 0 27.650 4.550 27.330 4.033 1934 7 31.222 5.377 0 0 31.194 5.348 30.787 4.744 1934 8 28.111 3.291 0 0 28.172 3.352 28.181 3.164 1934 9 17.889 -2.109 0 0 18.045 -1.953 18.059 -2.136 1934 10 15.889 2.159 0 0 15.987 2.258 16.767 2.840 1934 11 7.278 1.576 0 0 7.260 1.558 7.901 2.001 1934 12 -1.889 -1.382 0 0 -1.936 -1.430 -1.235 -0.925 1935 1 -1.000 2.750 0 0 -1.029 2.721 -1.635 1.918 1935 2 2.222 2.480 0 0 2.190 2.448 2.169 2.229 1935 3 9.278 4.275 0 0 9.287 4.284 9.012 3.811 1935 4 10.333 -1.944 0 0 10.449 -1.828 10.688 -1.787 1935 5 14.389 -3.621 0 0 14.534 -3.476 14.666 -3.541 1935 6 20.333 -2.766 0 0 20.372 -2.727 20.883 -2.414 1935 7 29.222 3.377 0 0 29.194 3.348 28.976 2.933 1935 8 26.889 2.069 0 0 26.950 2.130 25.811 0.793 1935 9 20.056 0.058 0 0 20.211 0.214 19.722 -0.473 1935 10 12.111 -1.618 0 0 12.210 -1.520 12.912 -1.015 1935 11 3.778 -1.924 0 0 3.760 -1.942 4.063 -1.837 1935 12 -0.778 -0.271 0 0 -0.825 -0.318 -0.644 -0.335 1936 1 -8.222 -4.472 0 0 -8.251 -4.501 -8.130 -4.577 1936 2 -9.278 -9.020 0 0 -9.310 -9.052 -8.507 -8.446 1936 3 8.111 3.108 0 0 8.120 3.117 7.737 2.537 1936 4 10.889 -1.388 0 0 11.005 -1.273 11.488 -0.986 1936 5 19.556 1.546 0 0 19.701 1.691 19.938 1.730 1936 6 24.000 0.900 0 0 24.039 0.939 24.619 1.322 1936 7 30.889 5.043 0 0 30.860 5.015 30.393 4.350 1936 8 30.000 5.180 0 0 30.061 5.241 29.569 4.552 1936 9 21.889 1.891 0 0 22.045 2.047 22.039 1.844 1936 10 12.611 -1.118 0 0 12.710 -1.020 13.176 -0.750 1936 11 5.000 -0.702 0 0 4.982 -0.720 5.150 -0.749 1936 12 1.889 2.396 0 0 1.842 2.348 2.384 2.694 1937 1 -7.667 -3.916 0 0 -7.696 -3.945 -7.630 -4.077 1937 2 -2.667 -2.409 0 0 -2.699 -2.441 -2.084 -2.024 1937 3 3.111 -1.892 0 0 3.120 -1.883 2.697 -2.503 1937 4 11.333 -0.944 0 0 11.449 -0.828 11.888 -0.586 1937 5 18.278 0.268 0 0 18.423 0.413 18.725 0.518 1937 6 23.111 0.011 0 0 23.150 0.050 23.385 0.088 1937 7 27.389 1.543 0 0 27.360 1.515 26.935 0.892 1937 8 28.778 3.958 0 0 28.839 4.019 28.024 3.007 1937 9 21.778 1.780 0 0 21.934 1.936 21.141 0.946 1937 10 13.111 -0.618 0 0 13.210 -0.520 13.608 -0.319 1937 11 4.111 -1.591 0 0 4.094 -1.609 3.802 -2.097 1937 12 -1.556 -1.049 0 0 -1.603 -1.096 -1.430 -1.121 1938 1 -0.889 2.862 0 0 -0.918 2.832 -1.337 2.216 1938 2 0.889 1.147 0 0 0.857 1.115 1.966 2.027 1938 3 9.056 4.053 0 0 9.065 4.062 9.533 4.333 1938 4 12.000 -0.277 0 0 12.116 -0.161 12.603 0.129 1938 5 16.222 -1.788 0 0 16.367 -1.643 17.213 -0.994 1938 6 22.222 -0.877 0 0 22.261 -0.838 22.718 -0.579 1938 7 26.778 0.932 0 0 26.749 0.904 26.775 0.732 1938 8 27.111 2.291 0 0 27.172 2.352 27.274 2.257 1938 9 21.667 1.669 0 0 21.823 1.825 21.550 1.354 1938 10 18.333 4.604 0 0 18.432 4.702 18.619 4.692 1938 11 4.556 -1.147 0 0 4.538 -1.164 5.894 -0.006 1938 12 NaN NaN NaN NaN NaN NaN 1.274 1.584 1939 1 NaN NaN NaN NaN NaN NaN 1.723 5.276 1939 2 NaN NaN NaN NaN NaN NaN -2.092 -2.032 1939 3 NaN NaN NaN NaN NaN NaN 5.847 0.647 1939 4 10.556 -1.722 0 0 10.671 -1.606 11.799 -0.675 1939 5 19.889 1.879 0 0 20.034 2.024 20.323 2.116 1939 6 23.333 0.234 0 0 23.372 0.273 23.637 0.340 1939 7 27.333 1.488 0 0 27.305 1.459 28.205 2.162 1939 8 23.333 -1.487 0 0 23.395 -1.425 24.303 -0.714 1939 9 23.333 3.335 0 0 23.489 3.491 23.681 3.486 1939 10 14.722 0.993 0 0 14.821 1.091 16.131 2.205 1939 11 5.500 -0.202 0 0 5.482 -0.220 6.270 0.370 1939 12 2.333 2.840 0 0 2.286 2.793 3.092 3.401 1940 1 -12.000 -8.250 0 0 -12.029 -8.279 -12.216 -8.663 1940 2 -2.000 -1.742 0 0 -2.032 -1.774 -1.257 -1.197 1940 3 4.944 -0.058 0 0 4.953 -0.049 4.641 -0.559 1940 4 11.056 -1.222 0 0 11.171 -1.106 11.616 -0.858 1940 5 16.111 -1.899 0 0 16.256 -1.754 16.933 -1.275 1940 6 22.944 -0.155 0 0 22.983 -0.116 23.078 -0.219 1940 7 28.222 2.377 0 0 28.194 2.348 27.123 1.080 1940 8 23.278 -1.542 0 0 23.339 -1.481 23.852 -1.165 1940 9 20.167 0.169 0 0 20.323 0.325 20.276 0.080 1940 10 17.222 3.493 0 0 17.321 3.591 17.914 3.987 1940 11 3.167 -2.535 0 0 3.149 -2.553 3.916 -1.984 1940 12 0.056 0.562 0 0 0.008 0.515 1.358 1.667 1941 1 -1.722 2.028 0 0 -1.751 1.999 -1.705 1.848 1941 2 -1.222 -0.964 0 0 -1.254 -0.997 -0.683 -0.623 1941 3 3.556 -1.447 0 0 3.565 -1.438 3.281 -1.919 1941 4 13.444 1.167 0 0 13.560 1.283 14.192 1.718 1941 5 19.444 1.435 0 0 19.590 1.580 20.321 2.114 1941 6 21.833 -1.266 0 0 21.872 -1.227 22.621 -0.676 1941 7 26.556 0.710 0 0 26.527 0.682 26.245 0.202 1941 8 25.778 0.958 0 0 25.839 1.019 25.673 0.656 1941 9 21.222 1.224 0 0 21.378 1.380 21.148 0.953 1941 10 14.111 0.382 0 4 13.857 0.127 14.974 1.047 1941 11 6.556 0.853 0 0 6.481 0.778 6.704 0.805 1941 12 2.556 3.062 0 0 2.534 3.041 3.225 3.534 1942 1 -2.167 1.584 0 0 -2.221 1.529 -2.665 0.888 1942 2 -1.222 -0.964 0 0 -1.320 -1.062 -0.815 -0.754 1942 3 5.778 0.775 0 0 5.603 0.600 5.463 0.263 1942 4 14.889 2.612 0 0 14.637 2.360 15.037 2.563 1942 5 16.667 -1.343 0 0 16.461 -1.549 16.818 -1.389 1942 6 22.167 -0.933 0 0 22.085 -1.015 22.521 -0.776 1942 7 26.556 0.710 0 0 26.458 0.613 26.401 0.358 1942 8 25.167 0.347 0 0 24.888 0.068 24.158 -0.859 1942 9 18.556 -1.442 0 0 18.177 -1.821 18.542 -1.653 1942 10 13.889 0.159 0 0 13.634 -0.095 14.423 0.496 1942 11 6.778 1.076 0 0 6.703 1.001 7.139 1.239 1942 12 -2.111 -1.604 0 0 -2.132 -1.626 -1.650 -1.340 1943 1 -3.889 -0.138 0 0 -3.943 -0.193 -4.226 -0.673 1943 2 2.611 2.869 0 0 2.513 2.771 2.830 2.890 1943 3 3.222 -1.781 0 0 3.047 -1.956 2.505 -2.695 1943 4 13.556 1.278 0 0 13.304 1.027 13.834 1.359 1943 5 15.444 -2.565 0 0 15.239 -2.771 16.066 -2.142 1943 6 23.444 0.345 0 0 23.362 0.263 23.880 0.583 1943 7 26.167 0.321 0 0 26.070 0.224 26.150 0.107 1943 8 27.722 2.902 0 0 27.443 2.623 26.902 1.885 1943 9 19.000 -0.998 0 0 18.621 -1.377 18.288 -1.907 1943 10 13.000 -0.729 0 0 12.746 -0.984 13.273 -0.653 1943 11 4.111 -1.591 0 0 4.036 -1.666 4.521 -1.378 1943 12 -2.000 -1.493 0 0 -2.021 -1.515 -1.696 -1.386 1944 1 1.056 4.806 0 0 1.001 4.752 0.396 3.949 1944 2 1.056 1.313 0 0 0.958 1.216 1.303 1.364 1944 3 1.778 -3.225 0 0 1.603 -3.400 2.109 -3.091 1944 4 8.667 -3.611 0 0 8.415 -3.862 9.283 -3.192 1944 5 19.556 1.546 0 0 19.350 1.340 19.781 1.573 1944 6 24.000 0.900 0 0 23.918 0.818 24.012 0.715 1944 7 25.111 -0.735 0 0 25.014 -0.832 24.942 -1.101 1944 8 25.111 0.291 0 0 24.832 0.012 24.458 -0.559 1944 9 20.056 0.058 0 0 19.677 -0.321 19.798 -0.397 1944 10 14.444 0.715 0 0 14.190 0.461 15.108 1.181 1944 11 6.667 0.965 0 0 6.592 0.889 7.396 1.497 1944 12 -2.667 -2.160 0 0 -2.688 -2.181 -2.535 -2.226 1945 1 -1.000 2.750 0 0 -1.054 2.696 -2.207 1.346 1945 2 0.444 0.702 0 0 0.347 0.605 0.518 0.578 1945 3 9.889 4.886 0 0 9.714 4.711 9.318 4.118 1945 4 11.056 -1.222 0 0 10.804 -1.473 11.544 -0.930 1945 5 15.222 -2.788 0 0 15.017 -2.993 15.336 -2.871 1945 6 19.333 -3.766 0 0 19.251 -3.848 19.810 -3.487 1945 7 24.889 -0.957 0 0 24.792 -1.054 24.342 -1.701 1945 8 26.222 1.402 0 0 25.943 1.123 25.252 0.235 1945 9 20.500 0.502 0 0 20.121 0.123 20.096 -0.099 1945 10 13.444 -0.285 0 0 13.190 -0.539 13.747 -0.179 1945 11 6.667 0.965 0 0 6.592 0.889 6.846 0.947 1945 12 -4.611 -4.104 0 0 -4.632 -4.126 -4.272 -3.963 1946 1 -0.611 3.139 0 0 -0.666 3.085 -1.181 2.372 1946 2 4.611 4.869 0 0 4.513 4.771 4.562 4.622 1946 3 11.778 6.775 0 0 11.603 6.600 11.268 6.068 1946 4 14.833 2.556 0 0 14.582 2.305 14.909 2.434 1946 5 14.944 -3.065 0 0 14.739 -3.271 15.577 -2.630 1946 6 24.722 1.623 0 0 24.640 1.540 24.015 0.718 1946 7 25.556 -0.290 0 0 25.458 -0.387 26.255 0.212 1946 8 23.889 -0.931 0 0 23.610 -1.210 24.132 -0.885 1946 9 19.778 -0.220 0 0 19.399 -0.599 19.254 -0.941 1946 10 14.667 0.937 0 0 14.412 0.683 15.483 1.557 1946 11 5.889 0.187 0 0 5.814 0.112 6.470 0.571 1946 12 1.556 2.062 0 0 1.534 2.041 2.578 2.887 1947 1 -0.778 2.973 0 0 -0.832 2.918 -1.427 2.126 1947 2 -2.556 -2.298 0 0 -2.653 -2.395 -2.246 -2.185 1947 3 3.000 -2.003 0 0 2.825 -2.178 2.082 -3.118 1947 4 11.000 -1.277 0 0 10.749 -1.529 11.492 -0.982 1947 5 15.278 -2.732 0 0 15.072 -2.938 15.732 -2.475 1947 6 21.111 -1.989 0 0 21.029 -2.071 21.956 -1.341 1947 7 25.056 -0.790 0 0 24.958 -0.887 24.740 -1.303 1947 8 29.889 5.069 0 0 29.610 4.790 28.941 3.924 1947 9 23.111 3.113 0 4 23.329 3.331 22.578 2.382 1947 10 19.111 5.382 0 0 19.280 5.551 19.108 5.182 1947 11 2.778 -2.924 0 0 2.999 -2.703 3.602 -2.297 1947 12 -1.333 -0.827 0 0 -1.115 -0.608 1.275 1.584 1948 1 -4.722 -0.972 0 0 -4.501 -0.751 -5.403 -1.850 1948 2 -2.389 -2.131 0 0 -2.067 -1.809 -1.763 -1.703 1948 3 0.778 -4.225 0 0 1.111 -3.892 1.991 -3.209 1948 4 15.556 3.278 0 0 15.655 3.378 15.750 3.276 1948 5 17.278 -0.732 0 0 17.173 -0.836 17.670 -0.537 1948 6 22.611 -0.489 0 0 22.639 -0.460 22.879 -0.418 1948 7 24.778 -1.068 0 0 25.085 -0.761 25.383 -0.660 1948 8 24.833 0.013 0 0 25.191 0.371 25.106 0.089 1948 9 21.667 1.669 0 0 21.885 1.887 21.471 1.276 1948 10 12.778 -0.952 0 0 12.947 -0.782 13.505 -0.422 1948 11 5.556 -0.147 0 0 5.777 0.075 6.504 0.605 1948 12 0.111 0.618 0 0 0.329 0.836 0.755 1.064 1949 1 -7.056 -3.305 0 0 -6.835 -3.084 -6.057 -2.504 1949 2 -3.000 -2.742 0 0 -2.678 -2.420 -1.705 -1.644 1949 3 4.222 -0.781 0 0 4.555 -0.448 4.399 -0.801 1949 4 11.556 -0.722 0 0 11.655 -0.622 12.047 -0.427 1949 5 18.556 0.546 0 0 18.451 0.441 19.415 1.208 1949 6 23.389 0.289 0 0 23.417 0.317 24.088 0.791 1949 7 26.111 0.265 0 0 26.418 0.573 26.073 0.030 1949 8 24.167 -0.653 0 0 24.525 -0.295 24.065 -0.952 1949 9 16.556 -3.442 0 0 16.773 -3.224 16.912 -3.283 1949 10 12.108 -1.621 1 0 NaN NaN 15.333 1.406 1949 11 9.222 3.520 0 0 9.443 3.741 8.687 2.787 1949 12 0.281 0.787 1 0 NaN NaN 0.811 1.121 1950 1 -4.056 -0.305 0 0 -3.835 -0.084 -3.325 0.228 1950 2 -0.460 -0.202 1 0 NaN NaN 0.989 1.050 1950 3 3.167 -1.836 0 0 3.500 -1.503 3.153 -2.047 1950 4 9.389 -2.888 0 0 9.489 -2.788 10.073 -2.402 1950 5 17.444 -0.565 0 0 17.340 -0.670 18.138 -0.069 1950 6 22.333 -0.766 0 0 22.361 -0.738 23.074 -0.223 1950 7 22.278 -3.568 0 0 22.585 -3.261 22.006 -4.037 1950 8 21.833 -2.987 0 0 22.191 -2.629 21.723 -3.294 1950 9 18.778 -1.220 0 0 18.996 -1.002 18.569 -1.626 1950 10 16.970 3.241 1 0 NaN NaN 17.043 3.116 1950 11 NaN NaN NaN NaN NaN NaN 4.009 -1.890 1950 12 NaN NaN NaN NaN NaN NaN -1.191 -0.881 1951 1 NaN NaN NaN NaN NaN NaN -2.770 0.783 1951 2 NaN NaN NaN NaN NaN NaN 0.678 0.739 1951 3 NaN NaN NaN NaN NaN NaN 2.052 -3.148 1951 4 NaN NaN NaN NaN NaN NaN 9.953 -2.521 1951 5 NaN NaN NaN NaN NaN NaN 17.916 -0.292 1951 6 NaN NaN NaN NaN NaN NaN 20.317 -2.980 1951 7 NaN NaN NaN NaN NaN NaN 24.162 -1.880 1951 8 NaN NaN NaN NaN NaN NaN 24.599 -0.418 1951 9 NaN NaN NaN NaN NaN NaN 17.377 -2.818 1951 10 NaN NaN NaN NaN NaN NaN 13.394 -0.533