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zenodo44/100

Data of the INFORMS Journal on Computing paper: Routing replenishment workers: The prize collecting traveling salesman problem in scattered storage warehouses

<p>In what follows, you will find data of the paper:<br> &quot;Routing replenishment workers: The prize collecting traveling salesman problem in scattered storage warehouses&quot; published in INFORMS Journal on Computing</p> <p>List of files:<br> - Computational_results_BB_NN_RW_CPLEX.xlsx: Excel file that gives all results<br> - instance_gen.cc: Instance generator<br> - instances.zip: compressed file of all instances that are sorted by Sections. It additionally includes the generator<br> - Makefile: Makefile for compiling/debugging, i.e., &quot;make all&quot; or &quot;make debug&quot; do the jobs<br> - MersenneTwister.h: needed by schedule_finder.cc<br> - results_Section_5_1.zip: compressed file of all output files of Section 5.1<br> - results_Section_5_2.zip: compressed file of all output files of Section 5.2<br> - results_Section_5_3.zip: compressed file of all output files of Section 5.3<br> - schedule_finder.cc: Main program containing the B&amp;B, the S-shape, and Nearest Neighbor procedure (see details for customizing the parameters at the top of this file)<br> - valgrind_debug.txt: Only contains the used debug command</p> <p>instances/instance_gen.cc generates a problem instance in file problems.txt<br> The structure of the these problem files is the following:<br> /*<br> NE&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Total number of experiments given by the currently considered file<br> -2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Separator<br> EXPGRP&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Index of the current experiment group the current experiment belong to<br> N&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Number of vacant positions in the warehouse<br> M&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Number of requests to be stored by the tour<br> P&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Number of pickers to be scheduled in the warehouse<br> A&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Number of vertical aisles<br> B&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Number of horizontal (cross) aisles<br> L_A&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Length of each vertical aisle<br> L_B&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Length of each cross aisle<br> UF_VA&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Up-factor of each vertical aisle (A values)<br> DF_VA&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Down- factor of each vertical aisle (A values)<br> UF_CA&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Up-factor of each cross aisle (B values)<br> DF_CA&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Down- factor of each cross aisle (B values)<br> x_pos_vertical_aisle&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; x-position of vertical aisle (A values)<br> y_pos_cross_aisle&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; y-position of cross aisle (B values)<br> warehouse_graph values&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; For each node of the warehouse graph all entries (15 each) are given (total_number_of_warehouse_graph_nodes*15)<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].free_position &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].depot_node &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].vertical_aisle &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].cross_aisle &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].pred_cross_aisle &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].succ_cross_aisle &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].pred_vertical_aisle &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].succ_vertical_aisle &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].pred_cross_aisle_dist &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].succ_cross_aisle_dist &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].pred_vertical_aisle_dist &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].succ_vertical_aisle_dist &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].region &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].x_position &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> &nbsp;&nbsp; FS &lt;&lt; warehouse_graph[curr_node].y_position &lt;&lt; &quot; &quot; &lt;&lt; endl;<br> shortest_path_distance&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; For each combination of nodes (i.e., for total_number_of_warehouse_graph_nodes_square combinations) the distance<br> shortest_path_length_including_start_and_end&nbsp;&nbsp;&nbsp; For each combination of nodes (i.e., for total_number_of_warehouse_graph_nodes_square combinations) the number of visited nodes<br> shortest_path_visited_nodes&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; For each combination of nodes (i.e., for total_number_of_warehouse_graph_nodes_square combinations) the detailed path (length is respectively given by shortest_path_length_including_start_and_end)<br> dd_free_position&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; For each free position and the depot (here with index N) the due date is transferred (N+1 values) (only relevant for the extended problem, is ignored here)<br> weight_of_free_position&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; For each free position and the depot (here with index N) the weight is transferred (N+1 values) (only relevant for the extended problem, is ignored here)<br> capacity_of_free_position&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; For each free position the storage capacity transferred (N values)<br> -2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Separator indicating the end of an instances<br> -3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Separator indicating the end of all experiments (i.e., indicating the end of the file)<br> */</p> <p>output files (results_Section_5_1.zip/results_Section_5_2.zip/results_Section_5_3.zip):<br> results_BB_NXXX_MYYY_A10_B05:&nbsp; Output file of applying B&amp;B<br> results_RW_NXXX_MYYY_A10_B05:&nbsp; Output file of applying s-shape random walk<br> results_NN_NXXX_MYYY_A10_B05:&nbsp; Output file of applying nearest neighbor</p> <p>In these files you find all outputs of schedule_finder.cc. &nbsp;<br> Among others, you will find the generated tour schedules (for Experiment with index I) in the output files by searching the phrase: &quot;Experiment I completed with result=&quot;<br> or for the next Experiment &quot; completed with result=&quot;</p> <p>Example (results_BB_N030_M150_A10_B05.txt, experiment 0, the tardiness values are to be ignored, see comments in schedule_finder.cc)<br> Pos 0 depot node with index 80 Number of stored items 0 CT 0&nbsp; No tardiness<br> Pos 1 position 27 Number of stored items 4 Current accumulated number of stored items 4 CT 163 DD 5629 No additional tardiness<br> Pos 2 position 28 Number of stored items 5 Current accumulated number of stored items 9 CT 399 DD 2962 No additional tardiness<br> Pos 3 position 29 Number of stored items 4 Current accumulated number of stored items 13 CT 670 DD 12631 No additional tardiness<br> Pos 4 position 26 Number of stored items 5 Current accumulated number of stored items 18 CT 840 DD 10142 No additional tardiness<br> Pos 5 position 23 Number of stored items 7 Current accumulated number of stored items 25 CT 1134 DD 6000 No additional tardiness<br> Pos 6 position 22 Number of stored items 4 Current accumulated number of stored items 29 CT 1170 DD 6396 No additional tardiness<br> Pos 7 position 16 Number of stored items 5 Current accumulated number of stored items 34 CT 1448 DD 8962 No additional tardiness<br> Pos 8 position 11 Number of stored items 10 Current accumulated number of stored items 44 CT 1674 DD 6336 No additional tardiness<br> Pos 9 position 0 Number of stored items 10 Current accumulated number of stored items 54 CT 2062 DD 1141 Additional tardiness 921<br> Pos 10 position 2 Number of stored items 9 Current accumulated number of stored items 63 CT 2201 DD 7742 No additional tardiness<br> Pos 11 position 4 Number of stored items 5 Current accumulated number of stored items 68 CT 2407 DD 4846 No additional tardiness<br> Pos 12 position 3 Number of stored items 5 Current accumulated number of stored items 73 CT 2717 DD 2316 Additional tardiness 401<br> Pos 13 position 1 Number of stored items 8 Current accumulated number of stored items 81 CT 2876 DD 9917 No additional tardiness<br> Pos 14 position 6 Number of stored items 3 Current accumulated number of stored items 84 CT 3073 DD 7299 No additional tardiness<br> Pos 15 position 5 Number of stored items 8 Current accumulated number of stored items 92 CT 3144 DD 6152 No additional tardiness<br> Pos 16 position 8 Number of stored items 6 Current accumulated number of stored items 98 CT 3337 DD 3705 No additional tardiness<br> Pos 17 position 12 Number of stored items 9 Current accumulated number of stored items 107 CT 3452 DD 7622 No additional tardiness<br> Pos 18 position 13 Number of stored items 4 Current accumulated number of stored items 111 CT 3522 DD 7833 No additional tardiness<br> Pos 19 position 14 Number of stored items 5 Current accumulated number of stored items 116 CT 3647 DD 9877 No additional tardiness<br> Pos 20 position 19 Number of stored items 1 Current accumulated number of stored items 117 CT 3922 DD 2905 Additional tardiness 1017<br> Pos 21 position 20 Number of stored items 5 Current accumulated number of stored items 122 CT 3923 DD 2538 Additional tardiness 1385<br> Pos 22 position 21 Number of stored items 7 Current accumulated number of stored items 129 CT 3976 DD 2769 Additional tardiness 1207<br> Pos 23 position 18 Number of stored items 10 Current accumulated number of stored items 139 CT 4173 DD 3552 Additional tardiness 621<br> Pos 24 position 25 Number of stored items 4 Current accumulated number of stored items 143 CT 4482 DD 11710 No additional tardiness<br> Pos 25 position 24 Number of stored items 7 Current accumulated number of stored items 150 CT 4509 DD 10599 No additional tardiness<br> Pos 26 visiting the node with index 80 Number of stored items 0 CT 4710 DD 10893 No additional tardiness<br> opt_makespan=4710 opt_total_tardiness=5552<br> TSP_procedure returned value 4710<br> Experiment 0 completed with result=3<br> BFS Branch&amp;Bound report: Consumed time: 1</p> <p>Copied from schedule_finder.cc:<br> Note that the procedure used as a solution procedure in the paper is int TSP_procedure(struct bb_node *curr_bb_node, int version)</p> <p>It is called by BB_procedure() as a subroutine for computing a lower bound value of an extended problem<br> (for instance, this extended problem additionally covers due dates. Therefore, due dates are also part of the problem instances, but can be ignored)<br> Specifically, TSP_procedure(struct bb_node *curr_bb_node, int version) is called once by lb_computation()</p>

opencc-by-4.0Aug 2023View details →
zenodo44/100

Data for Hunting of sika deer over six decades does not restore forest regeneration, Journal of Applied Ecology

<p>Data&nbsp;used for&nbsp;Hunting of sika deer over six decades does not restore&nbsp;forest regeneration.</p>

opencc-by-4.0Oct 2023View details →
zenodo44/100

Aerosol absorption data in Modena, Italy published in the journal article by Bigi et. al. (2023)

<p>Dataset of aerosol absorption coefficient at 1 hour time resolution collected at a urban traffic and a urban background site in Modena, Italy. Data is presented in the scientific article:&nbsp;</p> <p>Bigi, A., Veratti, G., Andrews, E., Collaud Coen, M., Guerrieri, L., Bernardoni, V., Massab&ograve;, D., Ferrero, L., Teggi, S., Ghermandi, G: Black Carbon and Brown Carbon absorption by in-situ filter-based photometer and ground-based sun-photometer in an urban atmosphere. Atmos. Chem. Phys., 2023, &nbsp;</p> <p>Data is freely available but the&nbsp;acknowledgement of the data originator is required: please contact the originator for details.</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

The dataset from a submitted journal entitled "Characterization of the Mamasa earthquake source in West Sulawesi based on the earthquake relocation data, gravity data, and coulomb stress change of Palu earthquake series"Dataset for paper

<p>This dataset consists of four files, namely:<br> 1. Coulomb Stress Input file. This data is input data for Coulomb 3.3 software<br> 2. Double Couple Percentage. This table is used for the Spatio-temporal Compensated Linear Vector Dipole (CLVD) analysis<br> 3. Gravity data. This data consists of coordinates, altitude, and Complete Bouguer Anomaly.<br> 4. Residual comparison of before and after the relocation. This table is to ensure that our relocation is successful</p>

opencc-by-4.0Dec 2019View details →
zenodo40/100

Hubei STEC Data through CORS stations for DOY 059 and 061 of the year 2018 which used in (Using Real GNSS Data for Ionospheric Disturbance Remote Sensing Associated with Strong Thunderstorm over Wuhan City, manuscript submitted to Earth and Space Science Journal AGU)

<p>Manuscript submitted to Earth and Space Science AGU entitled with&nbsp;<br> (Using Real GNSS Data for Ionospheric Disturbance Remote Sensing Associated with Strong Thunderstorm over Wuhan City)<br> by: Mohamed Freeshah, Xiaohong Zhang, Xiaodong Ren, Jun Chen, and Zhibo Zhao</p> <p>The STEC data inside two compressed folders named as stec059 and stec061, respectively.<br> The STEC file name has the CORS station name for the first forth letters and next three numbers epresent the Day of the year.<br> For example:<br> ES010590.18STEC<br> ES01 is the station name<br> 059 &nbsp;is the day of year (DOY), 2018</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

Data archive for the peer-reviewed journal article "Variability in the mass absorption cross-section of black carbon (BC) aerosols is driven by BC internal mixing state at a central European background site (Melpitz, Germany) in winter""

<p>Data archive for figures accompanying the peer-reviewed journal article &quot;Variability in the mass absorption cross-section of black carbon (BC) aerosols is driven by BC internal mixing state at a central European background site (Melpitz, Germany) in winter&quot;. In 2020 this article was accepted for publication in the journal <em>Atmospheric Chemistry and Physics</em>. Data are uploaded in the form of Igor Pro experiment files (.pxp).</p>

opencc-by-4.0Nov 2020View details →
zenodo40/100

Data archive for the journal article: "Comparison of co–located rBC and EC mass concentration measurements during field campaigns at several European sites"

<p>Data archive accompanying the peer-reviewed journal article &quot;Comparison of co&ndash;located rBC and EC mass concentration measurements during field campaigns at several European sites&quot;. In January 2021 this article was accepted for publication in the journal <em>Atmospheric Measurement </em><em>Techniques</em>. Data are uploaded in the form of Igor 8.0 graphics source files (.pxp) and data exported to Excel spreadsheet (.xlsx).</p>

opencc-by-4.0Jan 2021View details →
zenodo40/100

Figure 9b. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 9b. - Taxonomically informative character examples. Abbreviations: AS = anal shield; T10 = tergite 10; c8 = male tergite 10, posterior margin, number of rows of large bacilli; c12 = male anal shield, shape. For more information on characters and states see Table 2.Figure 9a.TW30: T.lobata, male, South Wales (MBsID: 852824). Character states: two rows of bacilli on posterior edge of T10 (c8/1) and well-rounded anal shield (c12/0). This set of character states is (in our sample) unique for T.lobata.Figure 9b.GL07: T.cf.rousseti, male, Spain (MBsID: 852825). Character states: one row of bacilli on posterior edge of T10 (c8/0) and anal shield with special protuberance (c12/1). This set of character states is (in our sample) shared by T.pyrenaica, T.cf.rousseti, and T.cf.drescoi. <br>

opencc-by-4.0Feb 2017View details →
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Figure 9a. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 9a. - Taxonomically informative character examples. Abbreviations: AS = anal shield; T10 = tergite 10; c8 = male tergite 10, posterior margin, number of rows of large bacilli; c12 = male anal shield, shape. For more information on characters and states see Table 2.Figure 9a.TW30: T.lobata, male, South Wales (MBsID: 852824). Character states: two rows of bacilli on posterior edge of T10 (c8/1) and well-rounded anal shield (c12/0). This set of character states is (in our sample) unique for T.lobata.Figure 9b.GL07: T.cf.rousseti, male, Spain (MBsID: 852825). Character states: one row of bacilli on posterior edge of T10 (c8/0) and anal shield with special protuberance (c12/1). This set of character states is (in our sample) shared by T.pyrenaica, T.cf.rousseti, and T.cf.drescoi. <br>

opencc-by-4.0Feb 2017View details →
zenodo40/100

Figure 8d. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 8d. - Telopods. SEM micrographs of Trachysphaeracf.drescoi and T.pyrenaica males from France. For TW# refer to Checklists. Abbreviations: fem = femur; pre = prefemur; syn = syncoxite; ta = tarsus; ti = tibia; 18 = leg (pair) 18.Figure 8a.T.cf.drescoi, anterior view (MBiID 852849)Figure 8b.T.cf.drescoi, anterior view (MBiID 852848)Figure 8c.T.pyrenaica, anterior view (MBiID 852894)Figure 8d.T.pyrenaica, posterior (anal) view (MBiID 852898) <br> GL07: T.cf.rousseti, male, Spain (MBsID: 852825). Character states: one row of bacilli on posterior edge of T10 (c8/0) and anal shield with special protuberance (c12/1). This set of character states is (in our sample) shared by T.pyrenaica, T.cf.rousseti, and T.cf.drescoi.

opencc-by-4.0Feb 2017View details →
zenodo40/100

Figure 8c. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 8c. - Telopods. SEM micrographs of Trachysphaeracf.drescoi and T.pyrenaica males from France. For TW# refer to Checklists. Abbreviations: fem = femur; pre = prefemur; syn = syncoxite; ta = tarsus; ti = tibia; 18 = leg (pair) 18.Figure 8a.T.cf.drescoi, anterior view (MBiID 852849)Figure 8b.T.cf.drescoi, anterior view (MBiID 852848)Figure 8c.T.pyrenaica, anterior view (MBiID 852894)Figure 8d.T.pyrenaica, posterior (anal) view (MBiID 852898) <br> TW30: T.lobata, male, South Wales (MBsID: 852824). Character states: two rows of bacilli on posterior edge of T10 (c8/1) and well-rounded anal shield (c12/0). This set of character states is (in our sample) unique for T.lobata.

opencc-by-4.0Feb 2017View details →
zenodo40/100

Figure 8b. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 8b. - Telopods. SEM micrographs of Trachysphaeracf.drescoi and T.pyrenaica males from France. For TW# refer to Checklists. Abbreviations: fem = femur; pre = prefemur; syn = syncoxite; ta = tarsus; ti = tibia; 18 = leg (pair) 18.Figure 8a.T.cf.drescoi, anterior view (MBiID 852849)Figure 8b.T.cf.drescoi, anterior view (MBiID 852848)Figure 8c.T.pyrenaica, anterior view (MBiID 852894)Figure 8d.T.pyrenaica, posterior (anal) view (MBiID 852898) <br> T.pyrenaica, posterior (anal) view (MBiID 852898)

opencc-by-4.0Feb 2017View details →
zenodo40/100

Figure 8a. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 8a. - Telopods. SEM micrographs of Trachysphaeracf.drescoi and T.pyrenaica males from France. For TW# refer to Checklists. Abbreviations: fem = femur; pre = prefemur; syn = syncoxite; ta = tarsus; ti = tibia; 18 = leg (pair) 18.Figure 8a.T.cf.drescoi, anterior view (MBiID 852849)Figure 8b.T.cf.drescoi, anterior view (MBiID 852848)Figure 8c.T.pyrenaica, anterior view (MBiID 852894)Figure 8d.T.pyrenaica, posterior (anal) view (MBiID 852898) <br> T.pyrenaica, anterior view (MBiID 852894)

opencc-by-4.0Feb 2017View details →
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Figure 5d. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 5d. - Trachysphaera SEM characters. A+B: MBsID 852812, C­-E: MBsID 852823. Abbreviations: AS = anal shield; Co = collum; Gr = groove, 'Ohrgrube'; h = head; T# = refers to number of tergite; th-sh = thoracic shield; c2 = collum, number of toothed ridges; c3 = thoracic shield anterior margin, number of rows of sclerotized nodules; c4 = thoracic shield, number of rows of large sclerotized protuberances; c5 = endotergum structure; c6 = endotergum, number of rows of setae; c7 = endotergum, number of rows of sclerotized nodules; c9 = female tergite 10, posterior margin, number of rows of large bacilli (with row counts 1, 2); c11 = female anal shield, shape; c13 = female anal shield, setae at posterior margin; c15 = female anal shield, large circular grooves (for more information on characters see Table 2).Figure 5a.TW1: T.lobata, female, Isle of Wight; anterior view; scale bar: 400 µmFigure 5b.TW1: T.lobata, female, Isle of Wight; anterior body part, lateral view; scale bar: 300 µmFigure 5c.TW29: T.lobata, female, South Wales; tergite 10 and anal shield, lateral view; scale bar: 300 µm; c13 points to Fig. 4eFigure 5d.TW29: T.lobata, female, South Wales; endotergum (underside of tergite); scale bar: 20 µmFigure 5e.TW29: T.lobata, female, South Wales; posterior margin of anal shield, detail; scale bar: 50 µm <br> anterior view (MBiID 852943)

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Figure 7d. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 7d. - Telopods. SEM micrographs of Trachysphaeralobata male from South Wales. For TW# refer to Checklists. Abbreviations: fem = femur; pre = prefemur; syn = syncoxite; ta = tarsus; ti = tibia.Figure 7a.anterior view (MBiID 853010)Figure 7b.anterior view (MBiID 853007)Figure 7c.posterior (anal) view (MBiID 853009)Figure 7d.posterior (anal) view (MBiID 853008) <br> T.cf.drescoi, anterior view (MBiID 852848)

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Figure 6d. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 6d. - Telopods. SEM micrographs of Trachysphaeralobata males from Isle of Wight. For TW# refer to Checklists. Abbreviations: fem = femur; pre = prefemur; syn = syncoxite; ta = tarsus; ti = tibia.Figure 6a.anterior view (MBiID 852943)Figure 6b.anterior view (MBiID 852942)Figure 6c.posterior (anal) view (MBiID 852974)Figure 6d.anterior view (MBiID 852977) <br> anterior view (MBiID 853007)

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Figure 6c. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 6c. - Telopods. SEM micrographs of Trachysphaeralobata males from Isle of Wight. For TW# refer to Checklists. Abbreviations: fem = femur; pre = prefemur; syn = syncoxite; ta = tarsus; ti = tibia.Figure 6a.anterior view (MBiID 852943)Figure 6b.anterior view (MBiID 852942)Figure 6c.posterior (anal) view (MBiID 852974)Figure 6d.anterior view (MBiID 852977) <br> anterior view (MBiID 853010)

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Figure 4b. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 4b. - Habitus. Preserved Trachysphaera specimens from two locations, multi-layer photographs, showing high variation in colour and/or encrusted dirt. Not to scale; for further specimen information see Checklists.Figure 4a.TW15: T.lobata, male, Isle of WightFigure 4b.TW18: T.lobata, female, Isle of WightFigure 4c.TW20: T.lobata, male, Isle of WightFigure 4d.TW26: T.lobata, female, South WalesFigure 4e.TW31: T.lobata, female, South WalesFigure 4f.TW32: T.lobata, female, South Wales <br> TW26: T.lobata, female, South Wales

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Figure 4f. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176

Figure 4f. - Habitus. Preserved Trachysphaera specimens from two locations, multi-layer photographs, showing high variation in colour and/or encrusted dirt. Not to scale; for further specimen information see Checklists.Figure 4a.TW15: T.lobata, male, Isle of WightFigure 4b.TW18: T.lobata, female, Isle of WightFigure 4c.TW20: T.lobata, male, Isle of WightFigure 4d.TW26: T.lobata, female, South WalesFigure 4e.TW31: T.lobata, female, South WalesFigure 4f.TW32: T.lobata, female, South Wales <br> TW1: T.lobata, female, Isle of Wight; anterior body part, lateral view; scale bar: 300 µm

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Supplementary material 1: Accumulation Curve Data from: DNA Barcoding of the parasitoid wasp subfamily Doryctinae (Hymenoptera: Braconidae) from Chamela, Mexico - Biodiversity Data Journal 3: e5109 (18 May 2015) https://doi.org/10.3897/BDJ.3.e5109

Table containing the Process ID of specimens sampled and Barcode Index Number (BIN) used for the species accumulation curve.

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ScienceDex guides

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record