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The 'Table_PA_info' contains information on all 80 Protected Areas analyzed in this study. The 'Synth_plots' includes synthetic control model fits for all 80 Protected Areas analyzed in this study. The number displayed on the top-left of each plot corresponds to the WDPA-ID of the respective protected area. For further details on each protected area, please refer to the 'Table_PA_info' document. The 'placebos' document consists of placebo test plots. The number on the top-left of each plot indicates the WDPA-ID of the protected area. Refer to the 'Table_PA_info' document for more information on each protected area.

Raw images of the manuscript entitle: "A needle in a Haystack: Detecting Life by Behavior" Description: Using a magnetotactic bacterial species, Magnetospirillum magneticum, we conduct a lab sensitivity experiment comparing PCR with the hanging drop behavioral assay, using a dilution series. Data: 1.-Gel image resulted from the Magnetospirillum magneticum PCR assays. 2.-Microphotographs of Magnetospirillum magneticum obtained using the hanging drop technique and serial dilution. 

Figures, tables and their captions from the Summary for Policymakers of the Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.

Figures, tables and captions from Chapter 4: Impacts of biological invasions on nature, nature’s contributions to people, and good quality of life. In: Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.

Figure S7-1. Loci map for the ship rat remains found on the Ma‘agan Mikhael B. Illustration by Patricia Sibella, modified by Sierra Harding. Figures S7-2–11. Individual loci photos with all ship rat remains per locus. Photo credits: Roee Shaffir Figure S7-12. Maxillary cheek tooth rows (M1–M3) for each cranium in the collection. Tooth wear stages estimated from these images. A) MMB 714-left; B) MMB 717-right; C) MMB 735-right; D) MMB 740-right; E) MMB 762-right; F) MMB 7008-right. Scale in lower left corner is 1.0mm. Photo credit: Sierra Harding.

Figure 1. Map of sites included in the LSI analysis. Figure 2. Landmark (red) and SSLM (blue) configuration used in the GMM study, after Pöllath et al.( 2019). Figure 3. LSI values for length (left) and width (right) grouped by zone (Coast/Inland) and subset into era (Bronze Age/Iron Age). Figure 4. Distributions of LSI length values per site and period. Sample size is represented on the y-axis, and LSI values are represented on the x-axis. Vertical black dashed line and text within the facets represent mean values. Figure 5. Distributions of LSI width values per site and period. Sample size is represented on the y-axis, and LSI values are represented on the x-axis. Vertical black dashed line and text within the facets represent mean values. Figure 6. A scatter diagram of the two ADI indexes, Bd/Dl and Dl/GLl, formulated from linear measurements taken on the N=130 astragali included in the GMM analysis, modified after Davis (2017a: 65, fig. 9.3) (used with permission). Figure 7. Results of the log-transformed centroid size analysis. The median size of astragali increases in the Persian period in Tell Keisan. Figure 8. Biplot of the first two principal components, points are color-coded by context and sized according to log centroid size value. Thin plate spline (TPS) warp grids visualize morphological change between the minimum and maximum shapes along PC1 (x-axis) and PC2 (y-axis). Figure 9. Boxplots depicting the range of variation along PC1 (left) and PC2 (right). Figure 10. 10-PC’s shape space volume occupied by the specimens from each context. Figure 11. A: Outlier specimen from Persian period Tell Keisan (Cat. #588). B: Modern sheep (O. aries) comparative specimen from Israel (Cat. #596).

Structure from motion was used for rapid modeling of a small room with all its objects. Two files were generated, a Wavefront obj and mtl (corresponding to the texture). The 3D model was post-processed with MeshLab, during which several filters were applied to clean up the model. The mesh model was also connected with the scanned model, by choosing at least 4 connection points. The 2D and 3D results are shown in Figures 9, 10. A post-processing could also be performed using the Autodesk 123D Catch web application. https://www.edusoft.ro/brain/index.php/brain/article/view/791/897

For our research, several iterations and methods were employed for the 3D design of an online campus. Different virtual models of a faculty building (see Figures 4,5) were designed and finally a virtual model of a 3D campus comprising a simplified 3-story faculty building (Figure 6) was created. The objective was the optimization of the 3D model and the demonstration of the desired functionalities. For these purposes two 3D modeling and post-processing software were used, i.e. 3DSMax and Trimble Sketchup. The model of the building resulted in 5962 vertices and 4528 faces. The textures and illumination were applied using OpenSim’s in-world tools. Furniture objects (tables, chair, computer monitors) were taken from the Google 3D Warehouse, distributed and shared under Trimble General Model License. https://www.edusoft.ro/brain/index.php/brain/article/view/791/897

The pipeline processing was the following: a) the 3D model from Sketchup was saved as a Collada file; b) this file has been imported in MeshLab (MESHLAB 2017) and converted to VRML97 format (wrl); c) aopt utility was used to convert wrl files to X3D and HTML5 files. The model was visualized in the OpenSim virtual world setting using an external browser (Figure 8). https://www.edusoft.ro/brain/index.php/brain/article/view/791/897