| Name |
Format |
Description |
Link |
|
8 |
benthicdata_2024-05-08.csv |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/3dfee140-47d5-4e29-99ae-16b9b12a404f/download/benthicdata_2024-05-08.csv |
|
57 |
Zipped CSV file containing all benthic data from the California Environmental Data Exchange Network (CEDEN). |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/15349797-6cfc-4ef9-92ab-0ed36512de93/download/benthicdata_2024-05-08.zip |
|
57 |
This resource contains all benthic macroinvertebrate data available from the CEDEN database, in the [Apache Parquet file format]((https://parquet.apache.org/)). The data is partitioned by year.
Parquet is a free and open source data storage format that allows for fast and efficient processing of large datasets. It is compatible with a variety of data analysis platforms, including the R and Python programming languages, through the [Apache Arrow platform](https://arrow.apache.org/). An example showing how to use this data with the R programming language is available [here](https://gist.github.com/daltare/209acf0789b4f1bdec272c323ba45315). |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/eb61f9a1-b1c6-4840-99c7-420a2c494a43/download/benthicdata_parquet_2024-05-08.zip |
|
33 |
ceden-benthic-data-dictionary.pdf |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/95e5056b-095a-48f1-8fb3-f91463168395/download/ceden-benthic-data-dictionary.pdf |
|
57 |
Zipped CSV file containing all benthic data from the California Environmental Data Exchange Network (CEDEN). |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/15349797-6cfc-4ef9-92ab-0ed36512de93/download/benthicdata_2024-11-01.zip |
|
8 |
benthicdata_2024-11-01.csv |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/3dfee140-47d5-4e29-99ae-16b9b12a404f/download/benthicdata_2024-11-01.csv |
|
57 |
This resource contains all benthic macroinvertebrate data available from the CEDEN database, in the [Apache Parquet file format]((https://parquet.apache.org/)). The data is partitioned by year.
Parquet is a free and open source data storage format that allows for fast and efficient processing of large datasets. It is compatible with a variety of data analysis platforms, including the R and Python programming languages, through the [Apache Arrow platform](https://arrow.apache.org/). An example showing how to use this data with the R programming language is available [here](https://gist.github.com/daltare/209acf0789b4f1bdec272c323ba45315). |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/eb61f9a1-b1c6-4840-99c7-420a2c494a43/download/benthicdata_parquet_2024-11-01.zip |
|
8 |
benthicdata_2025-07-02.csv |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/3dfee140-47d5-4e29-99ae-16b9b12a404f/download/benthicdata_2025-07-02.csv |
|
8 |
Data Dictionary for https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/3dfee140-47d5-4e29-99ae-16b9b12a404f/download/benthicdata_2025-11-05.csv |
https://data.ca.gov/datastore/dictionary_download/3dfee140-47d5-4e29-99ae-16b9b12a404f |
|
57 |
Zipped CSV file containing all benthic data from the California Environmental Data Exchange Network (CEDEN). |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/15349797-6cfc-4ef9-92ab-0ed36512de93/download/benthicdata_2025-07-02.zip |
|
57 |
This resource contains all benthic macroinvertebrate data available from the CEDEN database, in the [Apache Parquet file format]((https://parquet.apache.org/)). The data is partitioned by year.
Parquet is a free and open source data storage format that allows for fast and efficient processing of large datasets. It is compatible with a variety of data analysis platforms, including the R and Python programming languages, through the [Apache Arrow platform](https://arrow.apache.org/). An example showing how to use this data with the R programming language is available [here](https://gist.github.com/daltare/209acf0789b4f1bdec272c323ba45315). |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/eb61f9a1-b1c6-4840-99c7-420a2c494a43/download/benthicdata_parquet_2025-07-02.zip |
|
8 |
benthicdata_2025-09-08.csv |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/3dfee140-47d5-4e29-99ae-16b9b12a404f/download/benthicdata_2025-09-08.csv |
|
57 |
Zipped CSV file containing all benthic data from the California Environmental Data Exchange Network (CEDEN). |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/15349797-6cfc-4ef9-92ab-0ed36512de93/download/benthicdata_2025-09-08.zip |
|
57 |
This resource contains all benthic macroinvertebrate data available from the CEDEN database, in the [Apache Parquet file format]((https://parquet.apache.org/)). The data is partitioned by year.
Parquet is a free and open source data storage format that allows for fast and efficient processing of large datasets. It is compatible with a variety of data analysis platforms, including the R and Python programming languages, through the [Apache Arrow platform](https://arrow.apache.org/). An example showing how to use this data with the R programming language is available [here](https://gist.github.com/daltare/209acf0789b4f1bdec272c323ba45315). |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/eb61f9a1-b1c6-4840-99c7-420a2c494a43/download/benthicdata_parquet_2025-09-08.zip |
|
8 |
benthicdata_2025-11-05.csv |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/3dfee140-47d5-4e29-99ae-16b9b12a404f/download/benthicdata_2025-11-05.csv |
|
57 |
Zipped CSV file containing all benthic data from the California Environmental Data Exchange Network (CEDEN). |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/15349797-6cfc-4ef9-92ab-0ed36512de93/download/benthicdata_2025-11-05.zip |
|
57 |
This resource contains all benthic macroinvertebrate data available from the CEDEN database, in the [Apache Parquet file format]((https://parquet.apache.org/)). The data is partitioned by year.
Parquet is a free and open source data storage format that allows for fast and efficient processing of large datasets. It is compatible with a variety of data analysis platforms, including the R and Python programming languages, through the [Apache Arrow platform](https://arrow.apache.org/). An example showing how to use this data with the R programming language is available [here](https://gist.github.com/daltare/209acf0789b4f1bdec272c323ba45315). |
https://data.ca.gov/dataset/c14a017a-8a8c-42f7-a078-3ab64a873e32/resource/eb61f9a1-b1c6-4840-99c7-420a2c494a43/download/benthicdata_parquet_2025-11-05.zip |