Datasets:
id stringlengths 9 20 | source_reference stringclasses 229
values | product stringclasses 494
values | surface_material stringclasses 16
values | moisture_wb_percent float64 0.99 94 | length_mm float64 0.25 155 | width_mm float64 0.07 84 | thickness_mm float64 0.05 84 | arithmetic_mean_diameter float64 0.13 90.1 | geometric_mean_diameter float64 0.73 6.47 | sphericity float64 0.04 3.02 | static_friction_coefficient float64 0 591 | original_sheet stringclasses 16
values | source_file stringclasses 1
value | source_row_number int64 2 589 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
galvan_00002 | Abdullah and Eng, 2022 | Golden apple-Min | GALVANIZED SHEET | 88.75 | 41.77 | 26.51 | 26.54 | 31.606667 | 4.560019 | 0.10917 | 0.325 | galvan | data.xlsx | 2 |
galvan_00003 | Abdullah and Eng, 2022 | Golden apple-Mean | GALVANIZED SHEET | 89.38 | 46.92 | 31.81 | 31.88 | 36.87 | 4.80026 | 0.102307 | 0.419 | galvan | data.xlsx | 3 |
galvan_00004 | Abdullah and Eng, 2022 | Golden apple-Max | GALVANIZED SHEET | 89.98 | 53.85 | 35.82 | 36.12 | 41.93 | 5.010511 | 0.093046 | 0.51 | galvan | data.xlsx | 4 |
galvan_00005 | Adebowale et al., 2012 | Millet-04/011 Variety | GALVANIZED SHEET | 9.090909 | 3.89 | 2.18 | 2.1 | 2.723333 | 2.014067 | 0.517755 | 0.4 | galvan | data.xlsx | 5 |
galvan_00006 | Adebowale et al., 2012 | Millet-04/018 Variety | GALVANIZED SHEET | 9.090909 | 3.31 | 1.98 | 2.02 | 2.436667 | 1.940763 | 0.586333 | 0.41 | galvan | data.xlsx | 6 |
galvan_00007 | Adebowale et al., 2012 | Millet-04/028 Variety | GALVANIZED SHEET | 9.090909 | 3.45 | 2.05 | 2.06 | 2.52 | 1.96264 | 0.568881 | 0.43 | galvan | data.xlsx | 7 |
galvan_00008 | Adebowale et al., 2012 | Millet-04/023 Variety | GALVANIZED SHEET | 9.090909 | 3.79 | 2.17 | 2.18 | 2.713333 | 2.011599 | 0.530765 | 0.43 | galvan | data.xlsx | 8 |
galvan_00009 | Adebowale et al., 2012 | Millet-04/029 Variety | GALVANIZED SHEET | 9.090909 | 3.92 | 1.91 | 1.96 | 2.596667 | 1.982345 | 0.5057 | 0.46 | galvan | data.xlsx | 9 |
galvan_00010 | Adebowale et al., 2012 | Millet-04/018 Variety | GALVANIZED SHEET | 16.666667 | 3.42 | 1.99 | 2.06 | 2.49 | 1.95482 | 0.571585 | 0.57 | galvan | data.xlsx | 10 |
galvan_00011 | Adebowale et al., 2012 | Millet-04/023 Variety | GALVANIZED SHEET | 16.666667 | 4.09 | 2.27 | 2.33 | 2.896667 | 2.055922 | 0.50267 | 0.59 | galvan | data.xlsx | 11 |
galvan_00012 | Adebowale et al., 2012 | Millet-04/029 Variety | GALVANIZED SHEET | 16.666667 | 4.01 | 2.02 | 2.04 | 2.69 | 2.005816 | 0.500204 | 0.59 | galvan | data.xlsx | 12 |
galvan_00013 | Adebowale et al., 2012 | Millet-04/011 Variety | GALVANIZED SHEET | 16.666667 | 4.13 | 2.01 | 2.01 | 2.716667 | 2.012423 | 0.487269 | 0.6 | galvan | data.xlsx | 13 |
galvan_00014 | Adebowale et al., 2012 | Millet-04/028 Variety | GALVANIZED SHEET | 16.666667 | 4.1 | 2.01 | 2.07 | 2.726667 | 2.014889 | 0.491436 | 0.61 | galvan | data.xlsx | 14 |
galvan_00015 | Adebowale et al., 2012 | Millet-04/028 Variety | GALVANIZED SHEET | 23.076923 | 4.21 | 1.89 | 1.94 | 2.68 | 2.003328 | 0.47585 | 0.66 | galvan | data.xlsx | 15 |
galvan_00016 | Adebowale et al., 2012 | Millet-04/011 Variety | GALVANIZED SHEET | 23.076923 | 4.14 | 1.82 | 1.97 | 2.643333 | 1.99415 | 0.481679 | 0.67 | galvan | data.xlsx | 16 |
galvan_00017 | Adebowale et al., 2012 | Millet-04/018 Variety | GALVANIZED SHEET | 23.076923 | 3.62 | 1.82 | 1.9 | 2.446667 | 1.943414 | 0.536855 | 0.69 | galvan | data.xlsx | 17 |
galvan_00018 | Adebowale et al., 2012 | Millet-04/029 Variety | GALVANIZED SHEET | 23.076923 | 3.95 | 2.02 | 2.14 | 2.703333 | 2.009125 | 0.508639 | 0.69 | galvan | data.xlsx | 18 |
galvan_00019 | Adebowale et al., 2012 | Millet-04/023 Variety | GALVANIZED SHEET | 23.076923 | 4.03 | 1.92 | 2.02 | 2.656667 | 1.997497 | 0.495657 | 0.7 | galvan | data.xlsx | 19 |
galvan_00020 | Ahmadi et al., ???? | Psyllium Seed | GALVANIZED SHEET | 7.2 | 2.672 | 1.335 | 0.717 | 1.574667 | 1.677915 | 0.627962 | 0.4 | galvan | data.xlsx | 20 |
galvan_00021 | Ahmadi et al., ???? | Psyllium Seed | GALVANIZED SHEET | 37.4 | 2.715 | 1.414 | 0.813 | 1.647333 | 1.703338 | 0.627381 | 0.531 | galvan | data.xlsx | 21 |
galvan_00022 | Ahmadi et al., 2009 | Apricot | GALVANIZED SHEET | 11.527913 | 15.43 | 10.49 | 5.75 | 10.556667 | 3.163851 | 0.205045 | 0.231 | galvan | data.xlsx | 22 |
galvan_00023 | Ahmadi et al., 2009 | Apricot | GALVANIZED SHEET | 14.148352 | 21.18 | 16.41 | 10.33 | 15.973333 | 3.632221 | 0.171493 | 0.357 | galvan | data.xlsx | 23 |
galvan_00024 | Ahmadi et al., 2009 | Apricot | GALVANIZED SHEET | 45.157398 | 31.19 | 29.14 | 27.11 | 29.146667 | 4.438505 | 0.142305 | 0.584 | galvan | data.xlsx | 24 |
galvan_00025 | Akaaimo and Raji, 2006 | Prosopis Africana Seed-Mean | GALVANIZED SHEET | 11 | 9.88 | 6.26 | 4.32 | 6.82 | 2.735071 | 0.276829 | 0.23 | galvan | data.xlsx | 25 |
galvan_00026 | Akaaimo and Raji, 2006 | Prosopis Africana-Mean | GALVANIZED SHEET | 11 | 9.88 | 6.26 | 4.32 | 6.82 | 2.735071 | 0.276829 | 0.23 | galvan | data.xlsx | 26 |
galvan_00027 | Akaaimo and Raji, 2006 | Prosopis Africana Seed-Max | GALVANIZED SHEET | 11 | 12.23 | 7.55 | 6.81 | 8.863333 | 2.984737 | 0.24405 | 0.255 | galvan | data.xlsx | 27 |
galvan_00028 | Akaaimo and Raji, 2006 | Prosopis Africana-Max | GALVANIZED SHEET | 11 | 12.23 | 7.55 | 6.81 | 8.863333 | 2.984737 | 0.24405 | 0.255 | galvan | data.xlsx | 28 |
galvan_00029 | Akaaimo and Raji, 2006 | Prosopis Africana Seed-Min | GALVANIZED SHEET | 11 | 7.86 | 5.23 | 3.4 | 5.496667 | 2.545307 | 0.32383 | 0.32 | galvan | data.xlsx | 29 |
galvan_00030 | Akaaimo and Raji, 2006 | Prosopis Africana-Min | GALVANIZED SHEET | 11 | 7.86 | 5.23 | 3.4 | 5.496667 | 2.545307 | 0.32383 | 0.32 | galvan | data.xlsx | 30 |
galvan_00031 | Akande et al., ???? | Sour-sop (Annona muricata L.) Seeds | GALVANIZED SHEET | 7.407407 | 14.91 | 8.71 | 5.39 | 9.67 | 3.07267 | 0.206081 | 0.25 | galvan | data.xlsx | 31 |
galvan_00032 | Akande et al., ???? | Sour-sop (Annona muricata L.) Seeds | GALVANIZED SHEET | 18.433931 | 15.56 | 9.19 | 5.46 | 10.07 | 3.114466 | 0.200158 | 0.27 | galvan | data.xlsx | 32 |
galvan_00033 | Akande et al., ???? | Sour-sop (Annona muricata L.) Seeds | GALVANIZED SHEET | 24.528302 | 15.69 | 9.24 | 5.56 | 10.163333 | 3.124058 | 0.199111 | 0.34 | galvan | data.xlsx | 33 |
galvan_00034 | Akbolat et al., 2008 | Oleaster fruit-Min | GALVANIZED SHEET | 16.44 | 17.8 | 12.25 | 13.75 | 14.6 | 3.524991 | 0.198033 | 0.496 | galvan | data.xlsx | 34 |
galvan_00035 | Akbolat et al., 2008 | Oleaster fruit-Mean | GALVANIZED SHEET | 16.91 | 25.39 | 18.22 | 18.27 | 20.626667 | 3.955336 | 0.155783 | 0.511 | galvan | data.xlsx | 35 |
galvan_00036 | Akbolat et al., 2008 | Oleaster fruit-Max | GALVANIZED SHEET | 17.55 | 33.65 | 22 | 21.7 | 25.783333 | 4.260757 | 0.12662 | 0.525 | galvan | data.xlsx | 36 |
galvan_00037 | Aktas et al., 2006 | Safflower | GALVANIZED SHEET | 6.89013 | 7.27 | 3.5 | 2.8 | 4.523333 | 2.38521 | 0.328089 | 0.474 | galvan | data.xlsx | 37 |
galvan_00038 | Aktas et al., 2006 | Safflower | GALVANIZED SHEET | 7.493062 | 7.48 | 3.58 | 3.1 | 4.72 | 2.419289 | 0.323434 | 0.485 | galvan | data.xlsx | 38 |
galvan_00039 | Aktas et al., 2006 | Safflower | GALVANIZED SHEET | 8.00368 | 7.6 | 3.62 | 3.1 | 4.773333 | 2.428367 | 0.319522 | 0.548 | galvan | data.xlsx | 39 |
galvan_00040 | Aktas et al., 2006 | Safflower | GALVANIZED SHEET | 8.424908 | 7.81 | 3.79 | 3.5 | 5.033333 | 2.47168 | 0.316476 | 0.577 | galvan | data.xlsx | 40 |
galvan_00041 | Al-Mahasneh et al., 2008 | Black Cumin Seed-Mean | GALVANIZED SHEET | 5.25 | 2.85 | 1.36 | 0.84 | 1.683333 | 1.715657 | 0.601985 | 0.36 | galvan | data.xlsx | 41 |
galvan_00042 | Al-Mahasneh et al., 2008 | Black Cumin Seed-Mean | GALVANIZED SHEET | 5.29 | 3.19 | 1.58 | 1.03 | 1.933333 | 1.796702 | 0.563229 | 0.39 | galvan | data.xlsx | 42 |
galvan_00043 | Al-Mahasneh et al., 2008 | Black Cumin Seed-Mean | GALVANIZED SHEET | 5.35 | 3.27 | 1.81 | 1.22 | 2.1 | 1.846915 | 0.564806 | 0.41 | galvan | data.xlsx | 43 |
galvan_00044 | Altuntas and Naneli, 2017 | Black Quinoa Seed-Min | GALVANIZED SHEET | 10.450434 | 1.48 | 1.46 | 0.8 | 1.246667 | 1.552234 | 1.048807 | 0.335 | galvan | data.xlsx | 44 |
galvan_00045 | Altuntas and Naneli, 2017 | White Quinoa Seed-Min | GALVANIZED SHEET | 11.260981 | 1.83 | 1.11 | 1.12 | 1.353333 | 1.595299 | 0.871748 | 0.338 | galvan | data.xlsx | 45 |
galvan_00046 | Altuntas and Naneli, 2017 | Black Quinoa Seed-Mean | GALVANIZED SHEET | 10.450434 | 1.649 | 1.72 | 1.094 | 1.487667 | 1.646426 | 0.998439 | 0.346 | galvan | data.xlsx | 46 |
galvan_00047 | Altuntas and Naneli, 2017 | Black Quinoa Seed-Max | GALVANIZED SHEET | 10.450434 | 1.78 | 1.89 | 1.27 | 1.646667 | 1.703108 | 0.956803 | 0.358 | galvan | data.xlsx | 47 |
galvan_00048 | Altuntas and Naneli, 2017 | White Quinoa Seed-Mean | GALVANIZED SHEET | 11.260981 | 2.085 | 1.911 | 1.197 | 1.731 | 1.7317 | 0.830552 | 0.36 | galvan | data.xlsx | 48 |
galvan_00049 | Altuntas and Naneli, 2017 | White Quinoa Seed-Max | GALVANIZED SHEET | 11.260981 | 2.26 | 2.09 | 1.29 | 1.88 | 1.780026 | 0.787622 | 0.427 | galvan | data.xlsx | 49 |
galvan_00050 | Altuntas and Naneli, 2018 | Rice-Galileo variety | GALVANIZED SHEET | 8.966773 | 9.12 | 3.44 | 2.23 | 4.93 | 2.454649 | 0.26915 | 0.27 | galvan | data.xlsx | 50 |
galvan_00051 | Altuntas and Naneli, 2018 | Rice-Osmancik-97 variety | GALVANIZED SHEET | 9.403878 | 8.77 | 3.24 | 2.16 | 4.723333 | 2.419858 | 0.275925 | 0.31 | galvan | data.xlsx | 51 |
galvan_00052 | Altuntas and Naneli, 2018 | Rice-Vasco variety | GALVANIZED SHEET | 10.690363 | 9.06 | 3.06 | 2.15 | 4.756667 | 2.425537 | 0.267719 | 0.31 | galvan | data.xlsx | 52 |
galvan_00053 | Altuntas and Naneli, 2018 | Rice-Tosya gunesi variety | GALVANIZED SHEET | 9.395669 | 8.48 | 3.26 | 2.06 | 4.6 | 2.39861 | 0.282855 | 0.41 | galvan | data.xlsx | 53 |
galvan_00054 | Altuntas and Naneli, 2018 | Rice-Nembo variety | GALVANIZED SHEET | 11.079495 | 8.26 | 3.19 | 2.04 | 4.496667 | 2.380514 | 0.288198 | 0.41 | galvan | data.xlsx | 54 |
galvan_00055 | Altuntas and Yildiz, 2017 | Shelled Tea-Small Size-Min | GALVANIZED SHEET | 7.161557 | 9.15 | 7.9 | 7.16 | 8.07 | 2.892888 | 0.316163 | 0.424 | galvan | data.xlsx | 55 |
galvan_00056 | Altuntas and Yildiz, 2017 | Shelled Tea-Small Size-Mean | GALVANIZED SHEET | 7.53583 | 11.34 | 10.88 | 10.55 | 10.923333 | 3.200065 | 0.282193 | 0.452 | galvan | data.xlsx | 56 |
galvan_00057 | Altuntas and Yildiz, 2017 | Shelled Tea-Large Size-Min | GALVANIZED SHEET | 7.330183 | 14.85 | 13.58 | 13.31 | 13.913333 | 3.468839 | 0.233592 | 0.466 | galvan | data.xlsx | 57 |
galvan_00058 | Altuntas and Yildiz, 2017 | Shelled Tea-Large Size-Mean | GALVANIZED SHEET | 7.966426 | 16.9 | 15.87 | 15.9 | 16.223333 | 3.651072 | 0.21604 | 0.473 | galvan | data.xlsx | 58 |
galvan_00059 | Altuntas and Yildiz, 2017 | Shelled Tea-Large Size-Max | GALVANIZED SHEET | 8.392191 | 19.75 | 19.39 | 19.06 | 19.4 | 3.875321 | 0.196219 | 0.488 | galvan | data.xlsx | 59 |
galvan_00060 | Altuntas and Yildiz, 2017 | Shelled Tea-Small Size-Max | GALVANIZED SHEET | 7.963038 | 13.3 | 13.09 | 12.41 | 12.933333 | 3.385405 | 0.254542 | 0.488 | galvan | data.xlsx | 60 |
galvan_00061 | Altuntas and Yildiz, 2017 | Kernel Tea Seed-Small Size-Min | GALVANIZED SHEET | 4.478068 | 5.21 | 6.94 | 4.5 | 5.55 | 2.553513 | 0.490118 | 0.601 | galvan | data.xlsx | 61 |
galvan_00062 | Altuntas and Yildiz, 2017 | Kernel Tea Seed-Large Size-Min | GALVANIZED SHEET | 4.367535 | 7.91 | 13.58 | 9.24 | 10.243333 | 3.132234 | 0.395984 | 0.625 | galvan | data.xlsx | 62 |
galvan_00063 | Altuntas and Yildiz, 2017 | Kernel Tea Seed-Small Size-Mean | GALVANIZED SHEET | 4.574689 | 8.09 | 9.17 | 6.91 | 8.056667 | 2.891294 | 0.357391 | 0.633 | galvan | data.xlsx | 63 |
galvan_00064 | Altuntas and Yildiz, 2017 | Kernel Tea Seed-Large Size-Mean | GALVANIZED SHEET | 4.565583 | 12.04 | 13.77 | 15.9 | 13.903333 | 3.468008 | 0.288041 | 0.65 | galvan | data.xlsx | 64 |
galvan_00065 | Altuntas and Yildiz, 2017 | Kernel Tea Seed-Large Size-Max | GALVANIZED SHEET | 4.867909 | 14.01 | 19.39 | 16.27 | 16.556667 | 3.675909 | 0.262377 | 0.675 | galvan | data.xlsx | 65 |
galvan_00066 | Altuntas and Yildiz, 2017 | Kernel Tea Seed-Small Size-Max | GALVANIZED SHEET | 4.629294 | 9.7 | 11.14 | 8.85 | 9.896667 | 3.096493 | 0.319226 | 0.675 | galvan | data.xlsx | 66 |
galvan_00067 | Altuntas et al., 2005 | Fenugreek Seed | GALVANIZED SHEET | 8.172635 | 4.01 | 2.35 | 1.49 | 2.616667 | 1.987421 | 0.495616 | 0.42 | galvan | data.xlsx | 67 |
galvan_00068 | Altuntas et al., 2005 | Fenugreek Seed | GALVANIZED SHEET | 16.736053 | 4.19 | 2.61 | 1.74 | 2.846667 | 2.044024 | 0.487834 | 0.501 | galvan | data.xlsx | 68 |
galvan_00069 | Altuntas et al., 2013 | Medlar Fruit-Maturity | GALVANIZED SHEET | 41.792782 | 31.76 | 30.37 | 30.37 | 30.833333 | 4.522521 | 0.142397 | 0.452 | galvan | data.xlsx | 69 |
galvan_00070 | Altuntas et al., 2013 | Medlar Fruit-Ripening Period | GALVANIZED SHEET | 39.87494 | 28.3 | 26.34 | 26.34 | 26.993333 | 4.326393 | 0.152876 | 0.46 | galvan | data.xlsx | 70 |
galvan_00071 | Altuntas, 2008 | Watermelon seed-Min | GALVANIZED SHEET | 2.789929 | 11.83 | 7.16 | 2.05 | 7.013333 | 2.760675 | 0.233362 | 0.15 | galvan | data.xlsx | 71 |
galvan_00072 | Altuntas, 2008 | Watermelon seed-Mean | GALVANIZED SHEET | 2.789929 | 13.28 | 8 | 2.64 | 7.973333 | 2.881291 | 0.216965 | 0.21 | galvan | data.xlsx | 72 |
galvan_00073 | Altuntas, 2008 | Watermelon seed-Max | GALVANIZED SHEET | 2.789929 | 14.93 | 9.4 | 3.75 | 9.36 | 3.039478 | 0.203582 | 0.27 | galvan | data.xlsx | 73 |
galvan_00074 | Altuntas, 2008 | Pumpkin seed-Mean | GALVANIZED SHEET | 8.983344 | 19.92 | 11.3 | 3.22 | 11.48 | 3.253527 | 0.16333 | 0.29 | galvan | data.xlsx | 74 |
galvan_00075 | Altuntas, 2016 | Silver Berry Fruit | GALVANIZED SHEET | 29.213563 | 18.19 | 11.48 | 10.62 | 13.43 | 3.428197 | 0.188466 | 0.366 | galvan | data.xlsx | 75 |
galvan_00076 | Altuntas, 2016 | White Mulberry | GALVANIZED SHEET | 12.195979 | 16.33 | 9.84 | 9.58 | 11.916667 | 3.294266 | 0.201731 | 0.773 | galvan | data.xlsx | 76 |
galvan_00077 | Altuntaş and Erdogan, 2017 | Allspice Fruit | GALVANIZED SHEET | 9.14 | 7.8 | 8.07 | 9.01 | 8.293333 | 2.919332 | 0.374273 | 0.27 | galvan | data.xlsx | 77 |
galvan_00078 | Altuntaş and Erdogan, 2017 | Allspice Seed | GALVANIZED SHEET | 10.19 | 5.46 | 4.5 | 2.92 | 4.293333 | 2.344077 | 0.429318 | 0.32 | galvan | data.xlsx | 78 |
galvan_00079 | Altuntaş and Yıldız, 2007 | Faba Bean | GALVANIZED SHEET | 8.999909 | 18.4 | 12.5 | 7 | 12.633333 | 3.359024 | 0.182556 | 0.326 | galvan | data.xlsx | 79 |
galvan_00080 | Altuntaş and Yıldız, 2007 | Faba Bean | GALVANIZED SHEET | 20.051167 | 19.77 | 13.66 | 8.03 | 13.82 | 3.461065 | 0.175067 | 0.387 | galvan | data.xlsx | 80 |
galvan_00081 | Altuntaş&Mutlu,2007 | Pistachio Nut-Mean | GALVANIZED SHEET | 12.587413 | 19.81 | 10.94 | 9.33 | 13.36 | 3.42223 | 0.172753 | 0.248 | galvan | data.xlsx | 81 |
galvan_00082 | Altuntaş&Mutlu,2007 | Pistachio-Kernel-Mean | GALVANIZED SHEET | 8.298945 | 15.32 | 7.64 | 7.03 | 9.996667 | 3.106887 | 0.202799 | 0.36 | galvan | data.xlsx | 82 |
galvan_00083 | Amin et al., 2004 | lentil seeds | GALVANIZED SHEET | 10.33 | 3.84 | 3.84 | 2.18 | 3.286667 | 2.144333 | 0.55842 | 0.405 | galvan | data.xlsx | 83 |
galvan_00084 | Amin et al., 2004 | lentil seeds | GALVANIZED SHEET | 21 | 4.06 | 4.06 | 2.48 | 3.533333 | 2.196689 | 0.541056 | 0.432 | galvan | data.xlsx | 84 |
galvan_00085 | Anjana and Ganapathy, 2019 | pigeon pea | GALVANIZED SHEET | 8 | 5.37 | 5.37 | 4.41 | 5.05 | 2.474406 | 0.460783 | 0.26 | galvan | data.xlsx | 85 |
galvan_00086 | Anjana and Ganapathy, 2019 | pigeon pea | GALVANIZED SHEET | 15 | 6.81 | 5.96 | 4.79 | 5.853333 | 2.599211 | 0.381676 | 0.28 | galvan | data.xlsx | 86 |
galvan_00087 | Arafa, 2019 | Apricot Kernel | GALVANIZED SHEET | 3.25 | 15.1 | 10.1 | 5.3 | 10.166667 | 3.1244 | 0.206914 | 0.188 | galvan | data.xlsx | 87 |
galvan_00088 | Arafa, 2019 | Apricot Kernel | GALVANIZED SHEET | 5.1 | 15.2 | 10.2 | 5.4 | 10.266667 | 3.13461 | 0.206224 | 0.2 | galvan | data.xlsx | 88 |
galvan_00089 | Arafa, 2019 | Apricot Kernel | GALVANIZED SHEET | 8.95 | 15.3 | 10.3 | 5.5 | 10.366667 | 3.144755 | 0.20554 | 0.207 | galvan | data.xlsx | 89 |
galvan_00090 | Arafa, 2019 | Apricot Kernel | GALVANIZED SHEET | 13.56 | 15.4 | 10.4 | 5.7 | 10.5 | 3.15818 | 0.205077 | 0.231 | galvan | data.xlsx | 90 |
galvan_00091 | Arafa, 2019 | Apricot Fruit | GALVANIZED SHEET | 72.5 | 41.11 | 36.98 | 33.97 | 37.353333 | 4.821145 | 0.117274 | 0.63 | galvan | data.xlsx | 91 |
galvan_00092 | Arafa, 2019 | Apricot Fruit | GALVANIZED SHEET | 76.51 | 41.52 | 37.15 | 34.18 | 37.616667 | 4.832448 | 0.116388 | 0.65 | galvan | data.xlsx | 92 |
galvan_00093 | Arafa, 2019 | Apricot Fruit | GALVANIZED SHEET | 79.23 | 41.73 | 37.25 | 34.31 | 37.763333 | 4.83872 | 0.115953 | 0.67 | galvan | data.xlsx | 93 |
galvan_00094 | Arafa, 2019 | Apricot Fruit | GALVANIZED SHEET | 83.52 | 41.95 | 37.46 | 34.5 | 37.97 | 4.847531 | 0.115555 | 0.69 | galvan | data.xlsx | 94 |
galvan_00095 | Ashwini and Viskas, 2014 | Sunflower Seed | GALVANIZED SHEET | 10 | 12.54 | 5.57 | 3.88 | 7.33 | 2.801615 | 0.223414 | 0.344 | galvan | data.xlsx | 95 |
galvan_00096 | Ashwini and Viskas, 2014 | Sunflower Seed | GALVANIZED SHEET | 12 | 12.71 | 5.75 | 4.02 | 7.493333 | 2.822271 | 0.222051 | 0.344 | galvan | data.xlsx | 96 |
galvan_00097 | Ashwini and Viskas, 2014 | Sunflower Seed | GALVANIZED SHEET | 14 | 12.91 | 5.93 | 4.36 | 7.733333 | 2.852086 | 0.220921 | 0.345 | galvan | data.xlsx | 97 |
galvan_00098 | Aviara et al, 2010 | Mucuna Flagellipes nuts | GALVANIZED SHEET | 3.269491 | 2.73 | 2.7 | 1.87 | 2.433333 | 1.939877 | 0.710578 | 0.272 | galvan | data.xlsx | 98 |
galvan_00099 | Aviara et al, 2010 | Mucuna Flagellipes nuts | GALVANIZED SHEET | 9.665763 | 2.8 | 2.74 | 2.04 | 2.526667 | 1.964369 | 0.70156 | 0.408 | galvan | data.xlsx | 99 |
galvan_00100 | Aviara et al., 2000 | Sheanut | GALVANIZED SHEET | 3.697997 | 36.63 | 29.3 | 27.93 | 31.286667 | 4.544578 | 0.124067 | 0.305 | galvan | data.xlsx | 100 |
galvan_00101 | Aviara et al., 2013 | Moriga Oleifera Seed | GALVANIZED SHEET | 7.774601 | 1.19 | 1.02 | 1 | 1.07 | 1.475146 | 1.239619 | 0.272 | galvan | data.xlsx | 101 |
Agricultural Product Static Friction Coefficient Dataset
This local Hugging Face dataset is from the in publishing process manuscript Modeling of Static Friction Coefficient of Agricultural Products on Different Surfaces by Can ERTEKIN; Zeki YETGIN; Furkan GÖZÜKARA, Uğur ERCAN.
The dataset contains 2961 tabular records from 16 workbook sheets. Each record describes an agricultural product/sample, the contact surface material, moisture content, physical dimensions, and the measured static friction coefficient.
Data Files
data/train.csv: primary tabular split for Hugging Face auto-loading.data/train.jsonl: JSON Lines copy of the same records.schema.json: column names and intended data types.conversion_summary.json: source workbook sheet counts and dropped spacer/header rows.
Loading
from datasets import load_dataset
dataset = load_dataset(
"csv",
data_files="huggingface_dataset/data/train.csv",
split="train",
)
The folder can also be uploaded as a Hugging Face dataset repository. The Hub dataset viewer can infer the dataset from data/train.csv.
Columns
| Column | Type | Description |
|---|---|---|
id |
string | Stable row id based on source sheet and Excel row number. |
source_reference |
string | Literature reference label as provided in the workbook. |
product |
string | Agricultural product, seed, cultivar, or sample label. |
surface_material |
string | Contact surface material. |
moisture_wb_percent |
float | Moisture content on wet basis, percent. |
length_mm |
float | Product/sample length in millimeters. |
width_mm |
float | Product/sample width in millimeters. |
thickness_mm |
float | Product/sample thickness in millimeters. |
arithmetic_mean_diameter |
float | Arithmetic mean diameter as provided in the workbook. |
geometric_mean_diameter |
float | Geometric mean diameter as provided in the workbook. |
sphericity |
float | Sphericity value as provided in the workbook. |
static_friction_coefficient |
float | Measured static friction coefficient for the listed surface. |
original_sheet |
string | Original Excel sheet name. |
source_file |
string | Original source workbook filename. |
source_row_number |
int | Original Excel row number, including header row offset. |
Surface Materials
ALUMINUM, CARDBOARD, CHIPBOARD, CONCRETE, FIBERGLASS, GALVANIZED SHEET, GLASS, LAMINATE, MILD STEEL, PLASTIC, PLYWOOD, PVC, RUBBER, STAINLESS STEEL, STEEL, WOOD
Processing Notes
The converter normalized sheet-specific headers into a single long table. Blank spacer rows and accidental repeated partial header rows were dropped. Numeric measurement fields were converted to floats; empty cells are represented as missing values.
Citation
Citation details are pending publication of the manuscript. Until then, cite the unpublished manuscript and this dataset according to the authors' preferred instructions.
License
The publication status and final data license have not been set yet. Choose the final license before publishing this dataset publicly.
- Downloads last month
- 59