Data was created in the UNSIFRAN project Funding: BMEL (Bundesministerium für Ernährung und Landwirtschaft) in the frame of the BÖLN (Bundesprogramm Ökologischer Landbau und andere Formen nachhaltiger Landwirtschaft) program. Grant numbers are 2815OE128 and 2815OE093. Special thanks to AMAZONEN-WERKE H. DREYER SE & Co. KG for providing special sowing machinery adapted for sowing under a mulch cover. Published with the article: Schmidt, F.; Böhm, H.; Graß, R.; Wachendorf, M.; Piepho, H.-P. Management Effect on the Weed Control Efficiency in Double Cropping Systems. Agronomy 2023, 13, 467. https://doi.org/10.3390/agronomy13020467 By reuse, please cite the above referred article, as this contains important background infromation of the dataset. Datei: DWS_presence-absence_2019-21 .cvs (;) NA = " " headers = TRUE 0 = absence 1 = presence DWS = dominant weed species for more information, see the related article headers: location (n = 2): [TRE, NEB] TRE (Trenthorst (DE)), NEB (Neu-Eichenberg (DE)) block1_row (n = 4): [A, B, C, D] block2_5col (n = 4): [1, 2, 3, 4] every 5 columns give a full block, perpendicular to row col (n = 22): [1, 22] column originally n = 20 TRE, 2019-20: due to technical problems, new plots used NEB, 2020-21: after excluding triticale, n = 19 subplot (n = 12): [1, 12] NEB: SCS, DCS fertilized and unfertilized split-plots already includes block1 quadrat (n = 3): [I, II, III] 0.5 m x 0.5 m quadrat 2019-20: random in the space between two rows 2020-21: random, but always edging a row unequal sampling space to row width (50 cm, 75 cm) plot (n = 80+): [1, 87]:[*A, *B] smallest unit for a treatment NEB: subplots have a different plot ID [*A, *B] NEB: side A looks into the direction of block1_row A due to management error (usually by maize sowing), excluded: TRE, 2019-20: plot 67 TRE, 2020-21: plot 28, 55 NEB, 2019-20: plot 40 NEB, 2020-21: plot 50 additionally: NEB, 2020-21: plot 59B quadrat III: a small hipe of soil trt (n = 18+): [1, 22]:[*A, *B] treatment ID for combinations, see: sow_time, FC, FC_group, management, rowwidth TRE: additionaly 2 treatments NEB: additional 10 treatments, take care of 1B, 2B vs 1BB, 2BB NEB: excluded 1B, 2B, 1BB, 2BB from the calculations year (n = 2): [2019-20, 2020-21] time (n = 6): [t0, t1, t2, t3, t4, t5, t6] t0 is hypothetically 0 canopy closing is between the last timestep and 2 weeks after sow_time (n = 2): [early, late] treatment dependant FC (n = 5): [Control, P, P-Mix, V, V-Mix] first crop Control = none, P = winter pea, P-Mix = winter pea + triticale (2019-20), winter pea + rye (2020-21) V = winter vetch, V-Mix = winter vetch and rye FC_group (n = 3): [Control, Pure, Mix] Control = none, Pure = pure legume, Mix = legume + cereal mixture management (n = 8): elements: DCS, DCMS, SCS, RT, NT, NoFert, YesFert, NoMech, YesMech a combination of FC use, tillage, additionaly fertilization, mech. weed control 4 common combinations [SCS YesFert YesMech, DCMS NoFert NoMech, DCS RT YesFert YesMech, DCS NT YesFert YesMech] rowwidth (n = 2): [50, 75] in centimeter NA [0, 1] missing observations (no, yes) none [0, 1] no DWS (no, yes) ALOPMYOS [0, 1] if species is the DWS (no, yes) rarely, two to three species have the same area covered -> all included ... DWSgroups .cvs (;) NA = " " headers = TRUE DWS = dominant weed species DWSgroups = dominant weed species groups according to Rothmaler (ISBN 978-3-8274-1842-5) for more information, see the related article headers: DWS_short 4 letters of genus, 4 letters of species DWS_long full scientific name based on Integrated Taxonomic Information System (ITIS) DWSgroup [winter annual, summer annual, winter-summer annual, biannual-perennial] dominant weed species groups according to Rothmaler (ISBN 978-3-8274-1842-5) location [TRE, NEB] at which location species were observed TRE (Trenthorst (DE)), NEB (Neu-Eichenberg (DE)) assemblage additional information of species assemblages For more information on the experiment, please read the related article