This README_file was generated on 2022-02-10 by Naicheng Wu GENERAL INFORMATION 1. Title of Dataset: Environment regimes play an important role in structuring trait- and taxonomy-based temporal beta diversity of riverine diatoms 2. Author Information A. Principal Investigator Contact Information Name: Naicheng Wu Institution: Ningbo University, China Email: naichengwu88@gmail.com; nwu@hydrology.uni-kiel.de B. Associate or Co-investigator Contact Information Name: Nicola Fohrer Institution: Kiel University, Germany Email: nfohrer@hydrology.uni-kiel.de 3. Date of data collection (single date, range, approximate date): April 25, 2013 - April 30, 2014 4. Geographic location of data collection: Field data were collected at the outlet (54.71 °N, 9.50 °E) of the Kielstau River, northern Germany 5. Information about funding sources that supported the collection of the data: NA SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: NA 2. Links to publications that cite or use the data: 3. Links to other publicly accessible locations of the data: NA 4. Links/relationships to ancillary data sets: NA 5. Was data derived from another source? No A. If yes, list source(s): 6. Recommended citation for this dataset: Wu, N., Wang, Y., Wang, Y., Sun, X., Faber, C. & Fohrer, N. (2022) Environment regimes play an important role in structuring trait- and taxonomy-based temporal beta diversity of riverine diatoms. Journal of Ecology. Accepted Author Manuscript. DATA & FILE OVERVIEW 1. File List: 1) Environment factors.csv: environmental variables used in the article (JEcol-2021-1016). 2) Sp_Diatom.csv: species composition data with Date*Species format. 3) Tr_Diatom.csv: species trait data with Species*trait format. 2. Relationship between files, if important: NA 3. Additional related data collected that was not included in the current data package: None 4. Are there multiple versions of the dataset? No A. If yes, name of file(s) that was updated: i. Why was the file updated? ii. When was the file updated? METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: We collected daily mixed water samples at the outlet of the catchment (i.e. Kielstau catchment, Germany) from April 25, 2013 to April 30, 2014. Using two automatic samplers, daily mixed water samples were collected and kept in the refrigerators at 4 °C. They were picked once a week (normally on Monday), and taken back to the lab of the Department of Hydrology and Water Resources Management of Kiel University. We also collected hydrological variables included daily discharge (Q), discharge skewness (Sk), precipitation (Prec), and antecedent precipitation index (API). 2. Methods for processing the data: In the lab, Hydrogen Peroxide Method (30% H2O2 solution) and Naphrax (Northern Biological supplies Ltd., UK, R1=1.74) were used to prepare permanent diatom slides. We counted a minimum of 300 valves for each sample using a Zeiss Axioskop microscope at 1000× under oil immersion. Diatoms were identified to the lowest taxonomic level possible (mainly species level). Water chemical parameters, including metal ions (Cl-, K+, Ca+, Na+, Mg2+ and Si2+), ammonium-nitrogen (NH4-N), nitrate-nitrogen (NO3-N), orthophosphate (PO4-P), and sulphate (SO42-), were measured in the lab. The detailed laboratory procedures including diatom sedimentation, preservation and identification have been described in previous articles (Sun et al., 2018, Sun et al., 2022, Wu et al., 2016). Sun, X., Wu, N., Faber, C. & Fohrer, N. (2018) Effects of hydrological variables on structuring morphological trait (cell size) of diatom community in a lowland river. Ecological Indicators, 94, 207-217. Sun, X., Wu, N., Hörmann, G., Faber, C., Messyasz, B., Qu, Y. & Fohrer, N. (2022) Using integrated models to analyze and predict the variance of diatom community composition in an agricultural area. Science of The Total Environment, 803, 149894. Wu, N., Faber, C., Sun, X., Qu, Y., Wang, C., Ivetic, S., Riis, T., Ulrich, U. & Fohrer, N. (2016) Importance of sampling frequency when collecting diatoms. Scientific Reports, 6, 36950. 3. Instrument- or software-specific information needed to interpret the data: NA 4. Standards and calibration information, if appropriate: NA 5. Environmental/experimental conditions: NA 6. Describe any quality-assurance procedures performed on the data: NA 7. People involved with sample collection, processing, analysis and/or submission: Sample collection, processing, analysis and submission: Naicheng Wu, Xiuming Sun, Claas Faber and lab technicians (Mrs. Monika Westphal, Mrs. Bettina Hollmann). DATA-SPECIFIC INFORMATION FOR: [Environment_factors.csv] 1. Number of variables: 14 2. Number of cases/rows: 348 3. Variable List: NH4-N: Ammonia nitrogen (mg/L) PO4-P: Orthophosphate phosphorus (mg/L) NO3-N: Nitrite nitrogen (mg/L) SO4: Sulphate (mg/L) Cl: Chloride (mg/L) Ca: Calcium (mg/L) K: Potassium (mg/L) Mg: Magnesium (mg/L) Na: Sodium (mg/L) Si: Silicon (mg/L) Prec: Precipitation (mm) Q: Discharge (m3/s) API: Antecedent precipitation index (-) Skewness: Skewness of daily discharge (-) Note: units are shown in brackets, while "-" means no unit. 4. Missing data codes: we used "NA" to indicate missing data 5. Specialized formats or other abbreviations used: NA DATA-SPECIFIC INFORMATION FOR: [Sp_Diatom.csv] 1. Number of variables: 113 2. Number of cases/rows: 348 3. Variable List: SA001-SA113 represent the 113 species (see below) that we have used in this study. SA001: Achnanthes brevipes SA002: Achnanthes decipiens SA003: Achnanthes hungarica SA004: Achnanthidium exiguum SA005: Achnanthidium minutissima SA006: Amphora coffeiformis SA007: Amphora copulata SA008: Amphora ovalis SA009: Asterionella formosa SA010: Caloneis amphisbaena SA011: Caloneis silicula SA012: Cocconeis pediculus SA013: Cocconeis placentula SA014: Cyclotella comta SA015: Cyclotella meneghiniana SA016: Cymatopleura solea SA017: Cymbella bremii SA018: Cymbopleura anglica SA019: Diatoma mesodon SA020: Diatoma tenuis SA021: Diatoma vulgare SA022: Diatoma vulgare var. lineare SA023: Discostella stelligera SA024: Encyonema minutum SA025: Encyonema persilesiacum SA026: Epithemia sorex SA027: Eunotia bilunaris SA028: Eunotia minor SA029: Eunotia pectinalis SA030: Fragilaria braunii SA031: Fragilaria capucina SA032: Fragilaria crotonensis SA033: Frustulia viridula SA034: Gomphonema abbreviatum SA035: Gomphonema acuminatum var. coronatum SA036: Gomphonema gracile SA037: Gomphonema olivaceum SA038: Gomphonema parvulum SA039: Gomphonema pumilum SA040: Gomphonema subclavatum SA041: Gomphonema truncatum SA042: Gyrosigma acuminatum SA043: Hantzschia amphioxys SA044: Hantzschia elongata SA045: Hippodonta capitata SA046: Luticola mutica SA047: Melosira granulata SA048: Melosira varians SA049: Meridion circulare SA050: Meridion circulare var. constrictum SA051: Navicula capitoradiata SA052: Navicula cincta SA053: Navicula constans var. symmetrica SA054: Navicula cryptocephala SA055: Navicula festiva SA056: Navicula gregaria SA057: Navicula incomposita var. minor SA058: Navicula ingapirca SA059: Navicula kohlmaieri SA060: Navicula lanceolata SA061: Navicula menisculus Schumann SA062: Navicula perrotettii SA063: Navicula radiosa var. tenella SA064: Navicula reinhardtii SA065: Navicula Rhynchotella SA066: Navicula slesvicensis SA067: Navicula tenelloides SA068: Navicula tripunctata SA069: Neidium ampliatum SA070: Nitzschia adamata SA071: Nitzschia amphibia SA072: Nitzschia dissipata SA073: Nitzschia linearis SA074: Nitzschia neotropica SA075: Nitzschia parvula SA076: Nitzschia perminuta SA077: Nitzschia recta SA078: Nitzschia sigma SA079: Nitzschia sigmoidea SA080: Nupela lapidosa SA081: Orthoseira roeseana SA082: Pinnularia borealis SA083: Pinnularia divergentissima var. triundulata SA084: Pinnularia gentilis SA085: Pinnularia globiceps SA086: Pinnularia virdis SA087: Planothidium frequentissimum SA088: Planothidium haynaldii SA089: Planothidium lanceolatum SA090: Pleurosigma delicatulum SA091: Prestauroneis integra SA092: Pseudostaurosira parasitica var. subconstricta SA093: Punctastriata lancettula SA094: Reimeria sinuata SA095: Rossithidium anastasiae SA096: Stauroneis anceps var. amphicephala SA097: Stauroneis smithii SA098: Staurosira construens SA099: Staurosira mercedes SA100: Staurosira phoenicenteron SA101: Staurosira venter SA102: Staurosirella leptostauron SA103: Staurosirella martyi SA104: Stephanodiscus hantzschii SA105: Surirella angusta SA106: Surirella capronii SA107: Surirella lacrimula SA108: Surirella ovalis SA109: Surirella splendida SA110: Synedra acus SA111: Tabellaria fenestriata SA112: Ulnaria biceps SA113: Ulnaria ulna 4. Missing data codes: No missing data 5. Specialized formats or other abbreviations used: NA DATA-SPECIFIC INFORMATION FOR: [Tr_Diatom.csv] 1. Number of variables: 15 2. Number of cases/rows: 113 3. Variable List: CellSize01: Nano (0-100 µm3) CellSize02: Micro (100-300 µm3) CellSize03: Meso (300-600 µm3) CellSize04: Macro (600-1500 µm3) CellSize05: Large (>= 1500 µm3) LowPro: Low profile diatom species HigPro: High profile diatom species MotTax: Motile diatom taxa PlaTax: Planktonic diatom taxa LF_Uni: Unicellular life form species LF_Fil: Filamentous life form species LF_Col: Colonial life form species ATT_Wea: Weak attachment species ATT_Med: Medium attachment species ATT_Str: Strong attachment species 4. Missing data codes: No missing data 5. Specialized formats or other abbreviations used: NA