nuts-STeauRY dataset : hydrochemical and catchment characteristics data for large sample studies of Carbon, Nitrogen, Phosphorus and Silicon in french watercourses Antoine Casquin, Marie Silvestre, Vincent Thieu 10.5281/zenodo.10830852 18th March 2024 v0.1 Description of CNPSi_stats.csv data attributes Each line is a couple parameter / station • sta_code: Code of the station in the Sandre referentiel (public french "dataverse" for water data) • sta_name: Name of the station in the Sandre referentiel (public french "dataverse" for water data) • var: Abbreviation of parameter name • n_meas: number of observations for a given parameter / station • start_year: year of first observation for a given parameter / station • end_year: year of last observation for a given parameter / station • duration_y_tot: total duration of observation in years for a given parameter / station • duration_y_tot: duration of observation in years for a given parameter / station for years with at least 1 meas • mean_nmeas_per_y_tot: mean number of observations per year considering total duration • mean_nmeas_per_y_meas: mean number of observations per year considering years with measurements • is_fully_continuous: TRUE if at least one measurement per year for a given parameter / station • start_cont_seq: year in which starts the longest continuous sequence for a given parameter / station • end_cont_seq: year in which ends the longest continuous sequence for a given parameter / station • duration_y_cont_seq: duration in years for the longest continuous sequence for a given parameter / station • nmeas_cont_seq: number of measurements for the longest continuous sequence for a given parameter / station • mean_nmeas_per_y_cont_seq: mean number of observations per year for the longest continuous sequence for a given parameter / station • mean: mean value (concentration) for a given parameter / station • median: median value (concentration) for a given parameter / station • sd: standard deviation (concentration) for a given parameter / station • cv: coeficient of variation (concentration) for a given parameter / station • c05,c25,c50,c75,c95: centiles 5, 25, 50, 75 & 95 for a given parameter / station Description of catchments.gpkg and outlets.gpkg data attributes Each line is a catchment or an outlet (sampling point) File is a .gpkg (EPSG = 3035) • sta_code: Code of the station in the Sandre referentiel (public french "dataverse" for water data) • sta_name: Name of the station in the Sandre referentiel (public french "dataverse" for water data) • watercourse: Name of the water course (from spatial join on IGN BD Topo) • mun_name: Name of the municipality of the outlet (from spatial join on IGN BD Admin Express) • ccm_wso_id: Seaoutlet id from CCM v2.1 database • ccm_wso1_id: Elementary catchment id from CCM v2.1 database • ccm_strahler: Strahler order of the catchment from CCM v2.1 database • area_km2: Computed area in km2 of the catchment Description of daily discharges data attributes Each line corresponds to a daily modelled discharge at a quality station from 1980 to 2019 • sta_code: Code of the station in the Sandre referentiel (public french "dataverse" for water data) • date: Date in format yyyy-mm-dd • flow_mm: Discharge expressed in mm.d-1 • flow_m3s: Discharge expressed in m3.s-1 Description of climate data attributes Each line in the pr_tmin_tmax_1990-2019_lt_mean.csv corresponds to a mean value within a catchment for the 1990-2019 period. • sta_code: Code of the station in the Sandre referentiel (public french "dataverse" for water data) • period: 1990-2019 • source: EMO-1 (pr) & EMO-5 (tmin, tmax) • pr: mean yearly precipitation (mm) • tmin: mean daily minimal temperature (°C) • tmin: mean daily maximal temperature (°C) Description of land cover data attributes Each line in the clc_8class.csv and clc_44class.csv corresponds to Corine Land Cover (CLC) class for a year (1990, 2000, 2006, 2012, or 2018) and a catchment. Raw CLC typology describes 44 classes that were aggregated to 8 classes (see clc_44class_to_8class.csv). • clc_44class.csv o sta_code: Code of the station in the Sandre referentiel (public french "dataverse" for water data) o year: Year as stated in CLC product o clc_name: Description of land cover class in CLC product o clc_code: Code for land cover class in CLC product o percent_cover: Percent cover by CLC class in the catchment (0-100) • clc_8class.csv o sta_code: Code of the station in the Sandre referentiel (public french "dataverse" for water data) o year: Year as stated in CLC product o label_clc_8class: Description of land cover class in CLC product aggregated in 8 classes (see clc_44class_to_8class.csv) o code_clc_8class: Code for land cover class in CLC product aggregated in 8 classes (see clc_44class_to_8class.csv) o percent_cover: Percent cover by aggregated CLC class in the catchment (0-100) • clc_44class_to_8class.csv o code_clc: Code for land cover class in CLC product (44 classes) o code_clc_8class: Code for land cover class in aggregated CLC product (8classes) o label_clc_8class: Description of land cover class in CLC product aggregated in 8 classes (see clc_44class_to_8class.csv)