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Figs 9–16 in The Southeast Asian Pholcus halabala species group (Araneae, Pholcidae): new data from field observations and ultrastructure

Figs 9–16. Live specimens, Pholcus sabah Huber, 2011 (9–10), Ph. lintang Huber, sp. nov. (11–12) and Ph. erawan Huber, 2011 (13–16). 9. ♂ from Poring, Sabah. 10. ♂ from Sepilok, Sabah. 11–12. ♂ and ♀ from Bako, Sarawak. 13. ♂ from Khao Nan, Thailand. 14. Male from Erawan, Thailand. 15–16. ♂ and ♀ with egg-sac from Gunung Jerai, Malaysia.

Figs 39–48. Pholcus erawan Huber, 2011 in The Southeast Asian Pholcus halabala species group (Araneae, Pholcidae): new data from field observations and ultrastructure

Figs 39–48. Pholcus erawan Huber, 2011, ZFMK Ar 15016–17. 39. Male distal cheliceral apophysis (arrows point at modified hairs). 40. Left procursus, prolateral view. 41. Right procursus, retrolatero-dorsal view (arrow points at distal pocket). 42. Left bulbal processes, distal view. 43. Male ocular area, frontal view. 44. Male gonopore. 45. Female ALS. 46. Comb-hairs on male tarsus 4. 47. Female prosoma, frontal view. 48. Epigynum, ventral view. Abbreviations: a = appendix; e = embolus; u = uncus. Scale lines: 10 µm (39); 20 µm (45–46); 40 µm (44); 60 µm (42); 80 µm (40); 100 µm (41, 48); 200 µm (43, 47).

Figs 58–62 in The Southeast Asian Pholcus halabala species group (Araneae, Pholcidae): new data from field observations and ultrastructure

Figs 58–62. Pholcus kuhapimuk Huber, sp. nov., ZFMK Ar 15027. 58–59. Left male palp, prolateral and retrolateral views. 60. Male chelicerae, frontal view. 61–62. Cleared female genitalia, ventral and dorsal views. Abbreviations: a = appendix; b = genital bulb; e = embolus; p = procursus; u = uncus. Scale lines: 0.3 mm (61–62); 0.5 mm (58–60).

Figs 34–38 in The Southeast Asian Pholcus halabala species group (Araneae, Pholcidae): new data from field observations and ultrastructure

Figs 34–38. Pholcus lintang Huber, sp. nov., ZFMK Ar 15015. 34–35. Left male palp, prolateral and retrolateral views. 36. Male chelicerae, frontal view. 37–38. Cleared female genitalia, ventral and dorsal views. Abbreviations: a = appendix; b = genital bulb; e = embolus; p = procursus; u = uncus. Scale lines: 0.3 mm (36–38); 0.5 mm (34–35).

Figs 134–142 in The Southeast Asian Pholcus halabala species group (Araneae, Pholcidae): new data from field observations and ultrastructure

Figs 134–142. Female genitalia, untreated in ventral view, cleared in ventral and dorsal views. 134– 136. Pholcus krabi Huber, sp. nov. 137–139. Ph. narathiwat Huber, sp. nov. 140–142. Ph. kipungit Huber, sp. nov.

Figs 129–133 in The Southeast Asian Pholcus halabala species group (Araneae, Pholcidae): new data from field observations and ultrastructure

Figs 129–133. Pholcus kipungit Huber, sp. nov., ZFMK Ar 15042. 129–130. Left male palp, prolateral and retrolateral views. 131. Male chelicerae, frontal view. 132–133. Cleared female genitalia, ventral and dorsal views. Abbreviations: a = appendix; b = genital bulb; e = embolus; p = procursus; tr = trochanter; u = uncus. Scale lines: 0.3 mm (131–133), 0.5 mm (129–130).

Figs 124–128 in The Southeast Asian Pholcus halabala species group (Araneae, Pholcidae): new data from field observations and ultrastructure

Figs 124–128. Pholcus narathiwat Huber, sp. nov., ZFMK Ar 15041. 124–125. Left male palp, prolateral and retrolateral views. 126. Male chelicerae, frontal view. 127–128. Cleared female genitalia, ventral and dorsal views. Abbreviations: a = appendix; b = genital bulb; e = embolus; p = procursus; u = uncus. Scale lines: 0.3 mm (126), 0.5 mm (124–125, 127–128).

opencc-by-4.0Jul 2017View details →

BRAIN Journal-A New Challenge for Information Mining-Figure 5: New Approach Rich Data Exploration

In the following figure (see Figure 5) it has represented a scheme of the new approach proposed to Rich Data Set's Exploration. Other experiments are running in order to validate our idea, both in order to optimize this clustering model by applying new algorithms and distance measures to the datasets presented here, and both applying these techniques to a different domain from the didactic one. Other experiments are also conducted to improve user exploration by skillfully combining multiple methods and exploration techniques through the application of a variety of models such as the Association Rule to extract hidden relationships and association rules between data and Artificial Neural Network mechanisms of learning applicable to classification and forecasting problems.

opencc-by-4.0May 2018View details →

Wideband VLF data observed in New Zealand during the period 07-08 September 2017

Wideband VLF data observed in New Zealand during the period 07-08 September 2017.

opencc-by-nc-sa-4.0Oct 2018View details →

Green Roofs Footprints for New York City, Assembled from Available Data and Remote Sensing

Summary: The files contained herein represent green roof footprints in NYC visible in 2016 high-resolution orthoimagery of NYC (described at <a href="https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md">https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md</a>). Previously documented green roofs were aggregated in 2016 from multiple data sources including from NYC Department of Parks and Recreation and the NYC Department of Environmental Protection, greenroofs.com, and greenhomenyc.org. Footprints of the green roof surfaces were manually digitized based on the 2016 imagery, and a sample of other roof types were digitized to create a set of training data for classification of the imagery. A Mahalanobis distance classifier was employed in Google Earth Engine, and results were manually corrected, removing non-green roofs that were classified and adjusting shape/outlines of the classified green roofs to remove significant errors based on visual inspection with imagery across multiple time points. Ultimately, these initial data represent an estimate of where green roofs existed as of the imagery used, in 2016. These data are associated with an existing GitHub Repository, <a href="https://github.com/tnc-ny-science/NYC_GreenRoofMapping">https://github.com/tnc-ny-science/NYC_GreenRoofMapping</a>, and as needed and appropriate pending future work, versioned updates will be released here. Terms of Use: The Nature Conservancy and co-authors of this work shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any sale, distribution, loan, or offering for use of these digital data, in whole or in part, is prohibited without the approval of The Nature Conservancy and co-authors. The use of these data to produce other GIS products and services with the intent to sell for a profit is prohibited without the written consent of The Nature Conservancy and co-authors. All parties receiving these data must be informed of these restrictions. Authors of this work shall be acknowledged as data contributors to any reports or other products derived from these data. Associated Files: As of this release, the specific files included here are: <ul> <li>GreenRoofData2016_20180917.geojson is in the human-readable, GeoJSON format, in geographic coordinates (Lat/Long, WGS84; EPSG 4263).</li> <li>GreenRoofData2016_20180917.gpkg is in the GeoPackage format, which is an Open Standard readable by most GIS software including Esri products (tested on ArcMap 10.3.1 and multiple versions of QGIS). This dataset is in the New York State Plan Coordinate System (units in feet) for the Long Island Zone, North American Datum 1983, EPSG 2263.</li> <li>GreenRoofData2016_20180917_Shapefile.zip is a zipped folder containing a Shapefile and associated files. Please note that some field names were truncated due to limitations of Shapefiles, but columns are in the same order as for other files and in the same order as listed below. This dataset is in the New York State Plan Coordinate System (units in feet) for the Long Island Zone, North American Datum 1983, EPSG 2263.</li> <li>GreenRoofData2016_20180917.csv is a comma-separated values file (CSV) with coordinates for centroids for the green roofs stored in the table itself. This allows for easily opening the data in a tool like spreadsheet software (e.g., Microsoft Excel) or a text editor.</li> </ul> Column Information for the datasets: Some, but not all fields were joined to the green roof footprint data based on building footprint and tax lot data; those datasets are embedded as hyperlinks below. <ul> <li>fid - Unique identifier</li> <li>bin - NYC Building ID Number based on overlap between green roof areas and a building footprint dataset for NYC from August, 2017. (Newer building footprint datasets do not have linkages to the tax lot identifier (bbl), thus this older dataset was used). The most current building footprint dataset should be available at: <a href="https://data.cityofnewyork.us/Housing-Development/Building-Footprints/nqwf-w8eh">https://data.cityofnewyork.us/Housing-Development/Building-Footprints/nqwf-w8eh</a>. Associated metadata for fields from that dataset are available at <a href="https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_BuildingFootprints.md">https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_BuildingFootprints.md</a>.</li> <li>bbl - Boro Block and Lot number as a single string. This field is a tax lot identifier for NYC, which can be tied to the Digital Tax Map (<a href="http://gis.nyc.gov/taxmap/map.htm">http://gis.nyc.gov/taxmap/map.htm</a>) and PLUTO/MapPLUTO (<a href="https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page">https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page</a>). Metadata for fields pulled from PLUTO/MapPLUTO can be found in the PLUTO Data Dictionary found on the aforementioned page. All joins to this bbl were based on MapPLUTO version 18v1.</li> <li>gr_area - Total area of the footprint of the green roof as per this data layer, in square feet, calculated using the projected coordinate system (EPSG 2263).</li> <li>bldg_area - Total area of the footprint of the associated building, in square feet, calculated using the projected coordinate system (EPSG 2263).</li> <li>prop_gr - Proportion of the building covered by green roof according to this layer (gr_area/bldg_area).</li> <li>cnstrct_yr - Year the building was constructed, pulled from the Building Footprint data.</li> <li>doitt_id - An identifier for the building assigned by the NYC Dept. of Information Technology and Telecommunications, pulled from the Building Footprint Data.</li> <li>heightroof - Height of the roof of the associated building, pulled from the Building Footprint Data.</li> <li>feat_code - Code describing the type of building, pulled from the Building Footprint Data.</li> <li>groundelev - Lowest elevation at the building level, pulled from the Building Footprint Data.</li> <li>qa - Flag indicating a positive QA/QC check (using multiple types of imagery); all data in this dataset should have 'Good'</li> <li>notes - Any notes about the green roof taken during visual inspection of imagery; for example, it was noted if the green roof appeared to be missing in newer imagery, or if there were parts of the roof for which it was unclear whether there was green roof area or potted plants.</li> <li>classified - Flag indicating whether the green roof was detected image classification. (1 for yes, 0 for no)</li> <li>digitized - Flag indicating whether the green roof was digitized prior to image classification and used as training data. (1 for yes, 0 for no)</li> <li>newlyadded - Flag indicating whether the green roof was detected solely by visual inspection after the image classification and added. (1 for yes, 0 for no)</li> <li>original_source - Indication of what the original data source was, whether a specific website, agency such as NYC Dept. of Parks and Recreation (DPR), or NYC Dept. of Environmental Protection (DEP). Multiple sources are separated by a slash.</li> <li>address - Address based on MapPLUTO, joined to the dataset based on bbl.</li> <li>borough - Borough abbreviation pulled from MapPLUTO.</li> <li>ownertype - Owner type field pulled from MapPLUTO.</li> <li>zonedist1 - Zoning District 1 type pulled from MapPLUTO.</li> <li>spdist1 - Special District 1 pulled from MapPLUTO.</li> <li>bbl_fixed - Flag to indicate whether bbl was manually fixed. Since tax lot data may have changed slightly since the release of the building footprint data used in this work, a small percentage of bbl codes had to be manually updated based on overlay between the green roof footprint and the MapPLUTO data, when no join was feasible based on the bbl code from the building footprint data. (1 for yes, 0 for no)</li> </ul> For GreenRoofData2016_20180917.csv there are two additional columns, representing the coordinates of centroids in geographic coordinates (Lat/Long, WGS84; EPSG 4263): <ul> <li>xcoord - Longitude in decimal degrees.</li> <li>ycoord - Latitude in decimal degrees.</li> </ul> Acknowledgements: This work was primarily supported through funding from the J.M. Kaplan Fund, awarded to the New York City Program of The Nature Conservancy, with additional support from the New York Community Trust, through New York City Audubon and the Green Roof Researchers Alliance.

opencc-by-4.0Mar 2019View details →

Data For New Methods for Understanding and Controlling the Self-Assembly of Reacting Systems Using Coarse-Grained Molecular Dynamics

Data necessary to reproduce results in the dissertation : Thomas, Stephen, "New Methods for Understanding and Controlling the Self-Assembly of Reacting Systems Using Coarse-Grained Molecular Dynamics" (2018). Boise State University Theses and Dissertations. 1448. 10.18122/td/1448/boisestate

opencc-byNov 2019View details →

data for the PCI publication "New insights into the population genetics of partially clonal organisms: when seagrass data meet theoretical expectations"

Data analyzed int he article "New insights into the population genetics of partially clonal organisms: when seagrass data meet theoretical expectations", doi  <a href="https://arxiv.org/abs/1902.10240v5">https://arxiv.org/abs/1902.10240v5</a> doi of the PCI recommandation:  https://doi.org/10.24072/pci.evolbiol.100083

Fig. 3 in Mysterious chokeberries: new data on the diversity and phylogeny of Aronia Medik. (Rosaceae)

Fig. 3. Cluster analysis (binary distance, Ward clustering method) of the occurrence of eight basic rbcL and ITS2 haplotypes.

Fig. 7 in Mysterious chokeberries: new data on the diversity and phylogeny of Aronia Medik. (Rosaceae)

Fig. 7. Transformation grids of leaf shape from four Aronia species, with deformations required to reach the overall average shape.

Fig. 6 in Mysterious chokeberries: new data on the diversity and phylogeny of Aronia Medik. (Rosaceae)

Fig. 6. Ordination from multidimensional scaling of the Gower distance matrix from the combined dataset of haplotypes occurrence and morphology.

Fig. 2 in Mysterious chokeberries: new data on the diversity and phylogeny of Aronia Medik. (Rosaceae)

Fig. 2. Abundance of haplotypes per species. Each rectangle is a species. The first letter of haplotype name represent the marker: i for ITS2, r for rbcL and t for trnL-F. Dots correspond with haplotype counts.

opencc-by-4.0Nov 2019View details →

Fig. 5. Attemsostreptus reflexus, males without locality data. A in Revision of the genus Attemsostreptus Verhoeff, 1941 with description of a new species from Tanzania and notes on the tribe Trachystreptini Cook, 1896 (Spirostreptida, Diplopoda)

Fig. 5. Attemsostreptus reflexus, males without locality data. A. ♂, (NHMD621669). B. ♂, deviating gonopods (HNHM diplo-1697). Scale bar: 1 mm.

opencc-by-4.0Nov 2019View details →

Geospatial data and 3D representation of Maungataketake, Auckland, New Zealand

Context Maungataketake (Ellett’s Mountain) was a volcanic cone on the shore of the Manukau Harbour, Mangere, New Zealand. In the second half of the twentieth century the mountain was quarried away. Maungataketake was a terraced Māori Pā, and archaeological excavations (only now in the process of being published) were undertaken there between 1972 and 1975, and in 1982, prior to its complete destruction. There is aerial imagery of the mountain available that depicts the mountain prior to quarrying. With these data a 3D model of the site was made using photogrammetry, which was also used to create a digital surface model (DSM) and contour map of the mountain. The resulting data is provided here and is aimed for further geospatial applications. In addition, the resolution of the provided DSM has analogues for the wider region and therefore could be incorporated to represent the landscape pre-destruction. Further to this a representation of the 3D model may be found on <a href="https://sketchfab.com/3d-models/maungataketake-9a58745853154b88ac9bde1a74025cc4">SketchFab</a>.   Method The photogrammetry model was created in Agisoft Metashape version 1.5.4. Ten aerial images were used of Maungataketake and the surrounding area, captured on 19th August 1960. These images were downloaded from http://retrolens.co.nz and are licensed by LINZ CC-BY 3.0. The model was aligned and the spare point cloud filtered by gradual selection with the following parameters: projection error = 0.2; reconstruction uncertainty = 10; projection accuracy = 2.5. The dense cloud was processed with depth maps of ultra high quality and aggressive filtering. The resulting points cloud was edited to remove outlying points and processed into a 3D model. The resulting 3D model was manually edited to remove faces representing trees on Maungataketake only, but not the surrounding area. This was done as to obtain representative surface contours of the mountain. The model was georeferenced by the identification of points on the landscape present on the 1960 composite image and contemporary satellite imagery. A 0.5 m DSM and contours at 1 m resolution were calculated of Maungataketake.   Contents of dataset <ul> <li>A geodatabase with: <ul> <li>Control points used for georectification</li> <li>1 m contours without elevation of Maungataketake</li> <li>1 m contours with elevation of Maungataketake</li> <li>0.5 m composite aerial image</li> <li>0.5 m DSM of area covering control points</li> <li>0.5 m DSM of Maungataketake</li> </ul> </li> <li>Aerial photographs Crown_583-1924_22-26, Crown_583_1925_22-26</li> <li>Licence for aerial photographs from http://retrolens.co.nz</li> <li>Attributes of aerial photographs</li> </ul>

opencc-by-4.0Apr 2021View details →

Figure 6 in A new species of Thraulodes Ulmer (Ephemeroptera: Leptophlebiidae), with additional data on the anatomy of the reproductive tract

Figure 6 Female reproductive tract of the Thraulodes latinus sp. nov. A- Reproductive tract of an adult female showing the ovarian follicles (of) full of eggs and the lateral oviduct (lo). In (B) detail of the lateral oviduct (la) and common oviduct (co). The arrows indicate the eggs in the ovarian follicles and in the lateral oviduct.C- Rectangular oocytes (arrow) in mature females. Bars: A = 400 µm and B-C = 160 µm.