Data Provider Contact Details *

* Name | Lise Comte |

* Email | lccomte@ilstu.edu |

* Affiliation | Illinois State University |

* Country | United States |

Role *

Data_creator | true |

Data_manager | true |

Data_owner |  |

Primary_contact | true |

Research Group *

* Research_group | sDiv |

Other-specify |  |

Dataset *

* Project_or_workshop_or_thesis_title | sYNGEO |

* Dataset_title | RivFishTIME: A global database of fish time-series to study global change ecology in riverine systems |

* Short_abstract | RivFishTIME is a database of time series of riverine fish community abundance. |

* Keywords | species abundance, biodiversity, conservation, freshwater streams and rivers, Actinopterygii, temporal trends |

* Data_access_policy | Open (CC BY 4.0) |

Extensive_description_of_the_dataset | Motivation: The database is the result of a global compilation effort of long-term riverine fish surveys from the sYNGEO working group from 46 regional and national monitoring programs as well as individual academic research efforts upon which numerous basic and applied questions in ecology and global change research can be explored. Main types of variables contained: The database includes 11,386 time-series of riverine fish community catch data, including 646,270 species-specific abundance records together with metadata related to geographic location and sampling methodology of each time-series. Spatial location and grain: The database contains 11,072 unique sampling locations (stream reach), spanning 19 countries, 5 biogeographic realms, and 402 hydrographic basins worldwide. Time period and grain: The database encompasses the period 1951–2019. Each time-series is composed of a minimum of two yearly surveys and represents a minimum time span of 10 years. Major taxa and level of measurement: The database includes 944 species of ray-finned fishes (Class Actinopterygii). |

Data_origin | Field Survey |

Other-specify |  |

Status_of_the_data_collection | Completed |

Habitat

Terrestrial |  |

Freshwater | true |

Marine |  |

Taxonomic Scope

Animalia | true |

Plantae |  |

Fungi |  |

Bacteria |  |

Virus |  |

Microorganism |  |

Temporal Cover

Date of first Record

Year | 1951 |

Month |  |

Day |  |

Date of last Record

Year | 2019 |

Month |  |

Day |  |

Temporal Resolution

Temporal_resolution | Year |

Other-specify |  |

Spatial Cover

Coverage | Global |

Locality_names |  |

Country |  |

Additional Information

How_to_cite_dataset | Comte, L., Carvajal-Quintero, J, Tedesco, P., Giam, X., Brose, U., Eros, T., Filipe, A.F., Fortin, M.-J., Irving, K., Jacquet, C., Larsen, S., Sharma, S., Ruhi, A., Becker, F.G., Casatti L., Castaldelli, G., Dala-Corte, R.B., Davenport, S.R., Franssen, N.R., García-Berthou, E., Gavioli, A., Gido, K.B., Jimenez-Segura, L., Leitão, R.P., McLarney, B., Meador, J., Milardi, M., Moffatt, D.M., Occhi, T.V.T., Pompeu, P.S., Propst, D.L., Pyron, M., Salvador, G.N., Stefferud, J.A., Sutela, T., Taylor, C., Terui, A., Urabe, H., Vehanen, T., Vitule, J.R.S., Zeni, J.O., Olden, J.D. (2020). DATASET: RivFishTIME: A global database of fish time-series to study global change ecology in riverine systems [Dataset]. iDiv Data Repository. https://doi.org/10.25829/idiv.1873-10-4000 |

Dataset_doi_or_url | https://doi.org/10.25829/idiv.1873-10-4000 |

Publications_based_on_this_dataset | Comte, L., Carvajal-Quintero, J, Tedesco, P., Giam, X., Brose, U., Eros, T., Filipe, A.F., Fortin, M.-J., Irving, K., Jacquet, C., Larsen, S., Sharma, S., Ruhi, A., Becker, F.G., Casatti L., Castaldelli, G., Dala-Corte, R.B., Davenport, S.R., Franssen, N.R., García-Berthou, E., Gavioli, A., Gido, K.B., Jimenez-Segura, L., Leitão, R.P., McLarney, B., Meador, J., Milardi, M., Moffatt, D.M., Occhi, T.V.T., Pompeu, P.S., Propst, D.L., Pyron, M., Salvador, G.N., Stefferud, J.A., Sutela, T., Taylor, C., Terui, A., Urabe, H., Vehanen, T., Vitule, J.R.S., Zeni, J.O., Olden, J.D. (2020). RivFishTIME: A global database of fish time-series to study global change ecology in riverine systems. Global Ecology and Biogeography. |

Projects_that_are_related_to_this_dataset |  |

Comments | The RivFishTIME_SourceTable.csv table is intended to provide further information about the different monitoring datasets. However, several datasets have been described in different publications. Because these publications provide complementary information about the datasets (e.g. detailed description of the methods in one and of the sites in the other), more than one publication might be associated with each dataset. Note that the choice of the publications was made at the discretion of the data owners (as listed in the table). Cautionary note: Despite our efforts to select broadly consistently sampled time series, we warn the users that yearly abundance records may not be directly comparable both across and within time series due to variation in the timing and method of sampling. We also note that this database is the result of a compilation involving several individual datasets collected for different purposes and in a variety of environments (both natural and anthropic), and as such may not be suitable to all research questions. |