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--- |
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language: |
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- en |
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license: |
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- cc-by-4.0 |
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multilinguality: |
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- monolingual |
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pretty_name: NOAA Buoy meterological data |
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size_categories: |
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- 100K<n<1M |
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source_datasets: |
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- original |
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tags: [] |
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task_categories: |
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- feature-extraction |
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- tabular-classification |
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- time-series-forecasting |
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--- |
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# Dataset Card for {{ pretty_name | default("Dataset Name", true) }} |
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NOAA Buoy Data was downloaded, processed, and cleaned for tasks pertaining to tabular data. The data consists of meteorological measurements. There are two datasets |
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1. From 1980 through 2022 (denoted with "years" in file names) |
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1. From Jan 2023 through end of Sept 2023 (denoted with "2023" in file names) |
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The original intended use is for anomaly detection in tabular data. |
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## Dataset Details |
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### Dataset Description |
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This dataset contains weather buoy data to be used in a tabular embedding scenarios. |
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Buoy 42002 was chosen because it had many years of historical data and was still actively collecting information |
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Here is the buoy's page and its historical data page. |
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https://www.ndbc.noaa.gov/station_page.php?station=42002 |
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https://www.ndbc.noaa.gov/station_history.php?station=42002 |
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Only standard meteorological data and ocean data was downloaded. Downloaded started at 1980, which is the first full year of collecting wave information. |
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### Data Fields |
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{'TSTMP': 'timestamp', |
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'#YY': '#yr', |
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' MM': 'mo', |
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'DD': 'dy', |
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'hh': 'hr', |
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'mm': 'mn', |
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'WDIR': 'degT', |
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'WSPD': 'm/s', |
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' GST': 'm/s', |
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' WVHT': 'm', |
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'DPD': 'sec', |
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'APD': 'sec', |
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'MWD ': 'degT', |
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'PRES': 'hPa', |
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' ATMP': 'degC', |
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' WTMP': 'degC' |
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} |
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## Dataset Creation |
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### Curation Rationale |
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The original data has inconsistent delimiters, different and inappropriate missing data values, and was not harmonized across years. Pre-2023 was edited in the same way as the previous data |
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but kept separate to allow for train and inference. |
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### Source Data |
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#### Initial Data Collection and Normalization |
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Data Downloaded on Oct 12 2023 |
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All code used to transform the data can be found in the buoy-python directory. This is NOT production code and the focus was on correct results and minimizing time spent writing cleaning code. |
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1. #YY, MM, DD, hh, mm were concatenated to create a timestamp and stored in a new column. |
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1. From 1980 until 2005 there was no recording of minutes. Minutes for those years was set to 00. |
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1. All missing data was set to a blank value rather than an actual number |
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1. Remove all rows without wave data from all the data sets ( missing value in WVHT and DPD) |
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1. Columns MWD, DEWP, VIS, and TIDE were removed because of consistent missing values |
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1. From 2005 -> 2006 Wind direction goes from being called WD to WDIR |
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1. From 2006 -> 2007 Header goes from just 1 line with variable names to 2 lines with the second line being units. |
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These steps were used to create full_2023_remove_flawed_rows, the 2023 months, and full_years_remove_flawed_rows the previous data going back to 1980 |
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Since the original purpose of this data was anomoly detection. The two data sets above received further processing. |
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1. All data values were converted to Z-scores (file named zscore_2023) |
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1. For 1980 - 2022, all rows with 2 or more fields with Z-scores > 2 were removed from the dataset (file named trimmed_zscores_years ) |
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## Uses |
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### Direct Use |
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Primary use is working with tabular data and embeddings, particularly for anomaly detection |
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