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Data release for paper "The Araucaria Project: Deep near-infrared photometric maps of Local and Sculptor Group galaxies. I. Carina, Fornax, Sculptor"
<p>Deep near-infrared J- and K-band photometry of three Local Group dwarf spheroidal galaxies: Fornax, Carina, and Sculptor, is made available for the community. Until now, these data have only been used by the Araucaria Project to determine distances using the tip of the red giant and RR Lyrae stars. Now, we present the entire data collection in a form of a database, consisting of accurate J- and K-band magnitudes, sky coordinates, ellipticity measurements, and timestamps of observations, complemented by stars' loci in their reference images. Depth of our photometry reaches about 22 mag at 5 sigma level, and is comparable to NIR surveys, like the UKIRT Infrared Deep Sky Survey (UKIDSS) or the VISTA Hemisphere Survey (VHS), and small overlap with VHS and no overlap with UKIDSS makes our database a unique source of quality photometry.</p> <p>Data release consists of:</p> <ul> <li>databases in a form of text files for Carina, Fornax and Sculptor galaxies<br> (db_Car.txt, db_For.txt , db_Scu.txt)</li> <li>completeness tables and plots for every field in Carina, Fornax and Sculptor galaxies<br> (compl_Car.pdf, compl_Car.txt, compl_Scu.pdf, compl_Scu.txt, compl_For.pdf, compl_For.txt)</li> <li>explanatory file for each galaxy<br> (info_Car.txt, info_Scu.txt, info_For.txt)</li> <li>FITS images of scientific quality of all analyzed fields in Carina, Fornax and Sculptor galaxies, archived in tar.gz files</li> </ul>
Earth-observation based products from the CoastObs project
<p>The Earth-observation based products are in the CoastObs portal: https://coastobs.lizard.net. Login details to the portal will be provided after finalising the CoastObs training materials: https://coastobs.eu/e-training</p> <p>Products in the portal include demonstration products of the following parameters:</p> <p>Basic products:</p> <ul> <li>Chl-a</li> <li>Suspended matter</li> <li>Turbidity</li> <li>Sea surface temperature</li> </ul> <p>Innovative and higher level products:</p> <ul> <li>Sea grass percentage coverage</li> <li>Phytoplankton size classes</li> <li>Harmful algae bloom (HAB) indicators for Pseudonitzschia and Alexandrium</li> <li>(Mean) food quality for shell fish</li> <li>Mussel growth potential</li> <li>Relative growth rate (of mussels)</li> </ul> <p>There are products for the following areas:</p> <ul> <li>Loire Estuary (France)</li> <li>Bourgneuf Bay (France)</li> <li>Eastern Scheldt + Voordelta (Netherlands)</li> <li>Wadden Sea (Netherlands)</li> <li>Venice Lagoon (Italy)</li> <li>Galician coast (Spain)</li> <li>Rias Baixas (Spain)</li> </ul> <p>In the portfolio are more products, such as:</p> <ul> <li>Primary production</li> <li>WFD indicators</li> <li>HAB forecasts</li> <li>Plume morphology</li> <li>Phytoplankton bloom morphology</li> </ul>
PLATE IB. Natula Gorochov, 1987. (A–K), Natula matsuurai (Sugimoto, 2001): A, Head; B, Maxillary palpi; C, Second tarsal segment; D, Tympanum on fore tibia; E, Forewing lateral view showing longitudinal veins; F, Hind femur without stripe; G, Male Forewing mirror longer than wide; H, Female sub-genital plate triangular; I, Male sub-genital plate longer than wide, hind margin with a small projected median lobe; J, Hind tibial spines (3 pairs) on both sides; K, Ovipositor upcurved with a dorsal groove in JHABAR MAL, RAJENDRA NAGAR & R. SWAMINATHAN (2014) Record of Natula matsuurai Sugimoto (Orthoptera: Gryllidae: Trigonidiinae) and other sword-tailed crickets from India. Zootaxa, 3760(3): 458-462.
PLATE IB. Natula Gorochov, 1987. (A–K), Natula matsuurai (Sugimoto, 2001): A, Head; B, Maxillary palpi; C, Second tarsal segment; D, Tympanum on fore tibia; E, Forewing lateral view showing longitudinal veins; F, Hind femur without stripe; G, Male Forewing mirror longer than wide; H, Female sub-genital plate triangular; I, Male sub-genital plate longer than wide, hind margin with a small projected median lobe; J, Hind tibial spines (3 pairs) on both sides; K, Ovipositor upcurved with a dorsal groove
PLATE IA. Natula Gorochov, 1987. (A–L), Natula matsuurai (Sugimoto, 2001): A, Male; B, Female; C, Face with a transverse dark strip near epistomal suture; D, Fifth joint of maxillary palpi hatchet shaped; E, Lateral field of tegmina deeper than lateral lobe of pronotum; F, Hind tibia with 3 pairs of dorsal spines on both sides but largest inner apical spurs as long as or half of basitarsus; G, Fore tibia with oval shaped outer and inner tympanum; H, Harp vein only one, Mirror area occupying half dorsal surface, not divided with a small concentric inner veinlet; I, Pronotum with roundly convex anterior margin; J, Female ovipositor strongly upcurved, half as long as hind femur, three fifth area from base widened and bumpy, with a dorsal groove, cerci as long as ovipositor; K, Male sub-genital plate longer than wide, hind margin narrowly truncated with a small projected median lobe, two styli present; L, Female sub-genital plate roundly triangular. in JHABAR MAL, RAJENDRA NAGAR & R. SWAMINATHAN (2014) Record of Natula matsuurai Sugimoto (Orthoptera: Gryllidae: Trigonidiinae) and other sword-tailed crickets from India. Zootaxa, 3760(3): 458-462.
PLATE IA. Natula Gorochov, 1987. (A–L), Natula matsuurai (Sugimoto, 2001): A, Male; B, Female; C, Face with a transverse dark strip near epistomal suture; D, Fifth joint of maxillary palpi hatchet shaped; E, Lateral field of tegmina deeper than lateral lobe of pronotum; F, Hind tibia with 3 pairs of dorsal spines on both sides but largest inner apical spurs as long as or half of basitarsus; G, Fore tibia with oval shaped outer and inner tympanum; H, Harp vein only one, Mirror area occupying half dorsal surface, not divided with a small concentric inner veinlet; I, Pronotum with roundly convex anterior margin; J, Female ovipositor strongly upcurved, half as long as hind femur, three fifth area from base widened and bumpy, with a dorsal groove, cerci as long as ovipositor; K, Male sub-genital plate longer than wide, hind margin narrowly truncated with a small projected median lobe, two styli present; L, Female sub-genital plate roundly triangular.
Radio Interview: dissemination of the project
<p>Radio Interview at "Live Social", Radio Roma Capitale. Recorded on May 16th 2021, on air in June 28th 2021.</p>
RustBot - Dataset for the project Sistemas Embarcados de Vistoria (SEV) - Part1
<p>The RustyBot is a stereo vision system with two AVT Mako cameras mounted on a plate. The baseline is around 0.1 meters, and the cameras are horizontally aligned. </p> <p> </p> <p><br> DS_RI_01Data acquired by RustBot @...<br> - GPS<br> - IMU<br> - Battery<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/GPS_IMU_2016-06-14-17-01-59.bag">GPS_IMU_2016-06-14-17-01-59.bag</a>41Mb / ROSBag<br> DS_RI_02Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/raw_data_dec_14-12h.bag">raw_data_dec_14-12h.bag</a>912Mb / ROSBag<br> DS_RI_03Data acquired by RustBot @INESCTEC<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-11-09-15-01-29.bag">sev_2016-11-09-15-01-29.bag</a>261Mb / ROSBag<br> DS_RI_04Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-11-24-14-14-14.bag">sev_2016-11-24-14-14-14.bag</a>231Mb / ROSBag<br> DS_RI_05Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-11-24-14-34-42.bag">sev_2016-11-24-14-34-42.bag</a>26Mb / ROSBag<br> DS_RI_06Data acquired by RustBot @FEUP-INESCTEC<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-11-24-14-48-30.bag">sev_2016-11-24-14-48-30.bag</a>1.2Gb / ROSBag<br> DS_RI_07Data acquired by RustBot @FEUP-INESCTEC<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-11-24-14-57-13.bag">sev_2016-11-24-14-57-13.bag</a>405Mb / ROSBag<br> DS_RI_08Data acquired by RustBot @FEUP-INESCTEC<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-11-24-14-58-41.bag">sev_2016-11-24-14-58-41.bag</a>384Mb / ROSBag<br> DS_RI_09Data acquired by RustBot @...<br> (Without movement)<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-11-26-15-59-43.bag">sev_2016-11-26-15-59-43.bag</a>64Mb / ROSBag<br> DS_RI_10Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-07-18-21-26.bag">sev_2016-12-07-18-21-26.bag</a>12Mb / ROSBag<br> DS_RI_11Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-07-18-26-21.bag">sev_2016-12-07-18-26-21.bag</a>99Mb / ROSBag<br> DS_RI_12Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-07-18-35-09.bag">sev_2016-12-07-18-35-09.bag</a>62Mb / ROSBag<br> DS_RI_13Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-07-18-36-26.bag">sev_2016-12-07-18-36-26.bag</a>7.3Mb / ROSBag<br> DS_RI_14Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-07-18-52-03.bag">sev_2016-12-07-18-52-03.bag</a>2.8Mb / ROSBag<br> DS_RI_15Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-09-10-35-25.bag">sev_2016-12-09-10-35-25.bag</a>23Mb / ROSBag<br> DS_RI_16Data acquired by RustBot @FEUP-INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-09-11-17-29.bag">sev_2016-12-09-11-17-29.bag</a>76Mb / ROSBag<br> DS_RI_17Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-09-11-18-43.bag">sev_2016-12-09-11-18-43.bag</a>402Mb / ROSBag<br> DS_RI_18Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-09-11-22-51.bag">sev_2016-12-09-11-22-51.bag</a>42Mb / ROSBag<br> DS_RI_19Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-09-11-23-16.bag">sev_2016-12-09-11-23-16.bag</a>314Mb / ROSBag<br> DS_RI_20Data acquired by RustBot @FEUP-INESCTEC<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-09-11-30-33.bag">sev_2016-12-09-11-30-33.bag</a>698Mb / ROSBag<br> DS_RI_21Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-09-16-16-32.bag">sev_2016-12-09-16-16-32.bag</a>8.0Gb / ROSBag<br> DS_RI_22Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-09-16-24-55.bag">sev_2016-12-09-16-24-55.bag</a>6.5Gb / ROSBag<br> DS_RI_23Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-09-16-32-09.bag">sev_2016-12-09-16-32-09.bag</a>400Mb / ROSBag<br> DS_RI_24Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-12-11-50-36.bag">sev_2016-12-12-11-50-36.bag</a>6.8Gb / ROSBag<br> DS_RI_25Data acquired by RustBot @Street<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-12-12-00-36.bag">sev_2016-12-12-12-00-36.bag</a>4.2Gb / ROSBag<br> DS_RI_26Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-12-13-24-29.bag">sev_2016-12-12-13-24-29.bag</a>98Mb / ROSBag<br> DS_RI_27Data acquired by RustBot @FEUP-INESCTEC<br> (Without movement)<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-14-12-18-59.bag">sev_2016-12-14-12-18-59.bag</a>17Mb / ROSBag<br> DS_RI_28Data acquired by RustBot @Street<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-14-12-19-55.bag">sev_2016-12-14-12-19-55.bag</a><br> <a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-14-19-55_fixed.bag">sev_2016-12-14-19-55_fixed.bag</a>7.8Gb / ROSBag<br> DS_RI_29Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-14-12-19-55_fixed_raw2.bag">sev_2016-12-14-12-19-55_fixed_raw2.bag</a>910Mb / ROSBag<br> DS_RI_30Data acquired by RustBot @INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-14-16-26-57.bag">sev_2016-12-14-16-26-57.bag</a>269Mb / ROSBag<br> DS_RI_31Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-14-16-56-55.bag">sev_2016-12-14-16-56-55.bag</a>159Mb / ROSBag<br> DS_RI_32Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-14-16-57-51.bag">sev_2016-12-14-16-57-51.bag</a>315Mb / ROSBag<br> DS_RI_33Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-14-16-59-07.bag">sev_2016-12-14-16-59-07.bag</a>512Mb / ROSBag<br> DS_RI_34Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-14-17-00-30.bag">sev_2016-12-14-17-00-30.bag</a>1.6Gb / ROSBag<br> DS_RI_35Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<br> - Stereo Odometry<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2016-12-14-17-24-47.bag">sev_2016-12-14-17-24-47.bag</a>234Mb / ROSBag<br> DS_RI_36Data acquired by RustBot @FEUP-INESCTEC<br> (Without movement)<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-01-18-11-57-22.bag">sev_2017-01-18-11-57-22.bag</a>100Mb / ROSBag<br> DS_RI_37Data acquired by RustBot @FEUP-INESCTEC<br> (Without movement)<br> - Stereo Camera<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-01-18-12-20-38.bag">sev_2017-01-18-12-20-38.bag</a>129Mb / ROSBag<br> DS_RI_38Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-01-18-12-31-49.bag">sev_2017-01-18-12-31-49.bag</a>427Mb / ROSBag<br> DS_RI_39Data acquired by RustBot @Street<br> - GPS<br> - IMU<br> - Stereo Camera<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-01-18-12-35-26.bag">sev_2017-01-18-12-35-26.bag</a>613Mb / ROSBag<br> DS_RI_40Data acquired by RustBot @Street<br> - GPS<br> - IMU<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-01-18-12-35-26.raw.bag">sev_2017-01-18-12-35-26.raw.bag</a>602Mb / ROSBag<br> DS_RI_41Data acquired by RustBot @Street<br> - GPS<br> - IMU<br> - Stereo Camera<br> - TF Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-01-18-12-44-33.bag">sev_2017-01-18-12-44-33.bag</a>1.3Gb / ROSBag<br> DS_RI_42Data acquired by RustBot @FEUP-INESCTEC<br> (Without movement)<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-01-18-13-30-59.bag">sev_2017-01-18-13-30-59.bag</a>251Mb / ROSBag<br> DS_RI_43Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-01-18-13-42-03.bag">sev_2017-01-18-13-42-03.bag</a>1.3Gb / ROSBag<br> DS_RI_44Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<br> - TF<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-01-18-13-46-38.bag">sev_2017-01-18-13-46-38.bag</a>602Mb / ROSBag<br> DS_RI_45Data acquired by RustBot @FEUP-INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-02-20-15-19-33.bag">sev_2017-02-20-15-19-33.bag</a>32Mb / ROSBag<br> DS_RI_46Data acquired by RustBot @FEUP-INESCTEC<br> - GPS<br> - IMU<br> - Stereo Camera<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-02-20-15-20-50.bag">sev_2017-02-20-15-20-50.bag</a>341Mb / ROSBag<br> DS_RI_47Data acquired by RustBot @FEUP-INESCTEC<br> - Point Cloud<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-02-20-15-20-50_point_cloud.ply">sev_2017-02-20-15-20-50_point_cloud.ply</a>473Mb / PLY<br> DS_RI_48Data acquired by RustBot @INESCTEC<br> (Without movement)<br> - GPS<br> - IMU<br> - Stereo Camera<br> - Stereo Points<a href="http://vcriis01.inesctec.pt/datasets/DataSet/RailInspect/sev_2017-02-21-11-46-07.bag">sev_2017-02-21-11-46-07.bag</a>59Mb / RO</p>
Database of Citizen Science Projects
<p>A database of citizen science projects identified from Wikipedia's List of Citizen Science Projects, SciStarter and contributions from the ACTION consortium members. Updated to include</p>
Opinions and data on short food supply chains related policy analysis in 9 EU countries generated in the H2020 SMARTCHAIN Project grant number: 773785
<p>Questionnaires: Opinions and data on short food supply chains related policy analysis in 9 EU countries generated in the H2020 SMARTCHAIN Project grant number: <strong>773785</strong></p>
Research project on field data collection for honey bee colony model evaluation - datasets
<p><strong>Description of the datasets</strong></p> <p>The file 00_MUSTB_field_data_model.docx contains the data model according to which the data collected in the context of the MUSTB field data collection were reported to EFSA. The current data model description includes some modifications with respect to the specifications published before the beginning of the project (EFSA, 2017, https://doi.org/10.2903/sp.efsa.2017.EN-1234). All the tables included in the data model are published here in csv format. The underlying schemas are also published in xsd format.</p> <p>Sites: General information about the sites where the data collection took place;</p> <p>Polygons: General information about the polygons where the botanical survey took place.</p> <p>Table I: Pesticide application, reporting data on experimental spraying events;</p> <p>Table II: Resource providing unit and landscape fitness, reporting data on abundance of flowering plants in polygons mostly within 1.5 km, but in some cases up to 3 km of the experimental colony;</p> <p>Table III: Master list of all hives included in the study;</p> <p>Table IV: Colony management, reporting the log of the beekeeper regarding input (if material was added to the hive: e.g. empty frames, chemicals for varroa treatment, sugar), output (if material was removed from the hive, e.g. honey combs, supers), queen loss, swarming, or clinical signs observed in the experimental hives;</p> <p>Table V: Hive inspection, reporting data on in-hive measurements in the experimental colonies. This table contained several types of data, including:</p> <ul> <li>Data on brood development and food provision (“cell utilization”) obtained from image analysis of combs;</li> <li>Data on forager activity obtained from automatic video recordings and image analysis by a bee counter;</li> <li>Data on hive weight obtained from automatic logging by a hive scale;</li> <li>Data on adult bee strength, obtained by weight assessment of combs with and without adult bees (“bees per comb data”);</li> </ul> <p>Table VI: SSD2, reporting data on results of laboratory analyses of pollen, pesticide residues and parasites/pathogens. These four types of laboratory analyses involved different methods, and were reported according to different standards. Therefore, a number of the fields in the technical specifications for the SSD2 table (EFSA, 2017) were not applicable for records reporting results of some analyses, in particular palynological, parasite and pathogen analyses. These fields were left empty;</p> <p>Table VII: Colony observation, reporting observations of honey bee waggle dances from observation hives. Orientation denotes the angle of the waggling phase relative to the vertical axis on the comb. Direction denotes the actual direction in the landscape, as calculated from the orientation of the waggle dance.</p> <p>In all the csv files, columns with the suffix "_desc" have been included, where relevant, to include the name corresponding to the EFSA controlled terminology used in the previous column (e.g. resUnit contains EFSA term codes while resUnit_desc contains the term names).</p> <p><strong>Data storage</strong></p> <p>All data collected during the project was stored in a relational database. The database was developed in .NET Entity Framework Core, ran on a PostgreSQL, and was hosted by Amazon Web Service during the whole duration of the project development. Data could be imported or entered manually in the database through a web form. Administrators could create new users and administrators, new sites, and new colonies, i.e., administrators were allowed to enter or change data of all tables. Users were allowed to enter data, and could view, retrieve, and modify their own data of all tables, except for Table III (description of experimental colonies). Administrators could view and retrieve all data. Data was retrieved in CSV and XML formats, and were structured to secure a smooth transmission of data to the Data Collection Framework of EFSA. Furthermore, data flow from the field data collection to the development of ApisRAM was secured by direct communication between the field and modelling teams.</p> <p> </p> <p><strong>Version 2</strong> contains the UTM coordinates in tables Sites, Polygons and Resource providing unit.</p>
Codebook for the analysis of focus group interview data collected as part of the DETECT project.
<p>This is the codebook created for the analysis of focus group interview data collected as part of the <a href="http://detectproject.eu/">DETECT project</a>. In particular, nine interviews were conducted with primary and secondary school teachers in Finland, Italy, Spain and the UK in order to explore their perceptions of critical digital literacies and how these are manifested in their practices. The interviews were organised and conducted by the researchers in the respective local HEIs between February-June 2020. A total of 7 focus-groups interviews took place with a total number of 39 participating teachers (7 from Finland, 6 from the UK, 9 from Spain and 17 from Italy). The interviews were conducted both face to face (schools in Spain) and online (schools in Finland, Italy and the UK) due to pandemic-related restrictions imposed shortly after the start of the data collection period.</p> <p>The collected data were read and segmented and all interview excerpts relating to the Critical Digital Literacies framework sub-dimensions were marked and chosen for the analysis. The total number of marked segments was 666 in all nine focus group interviews. To ensure the reliability of the analyses, the researchers translated and collected a representative sample of codings (n=117 out of 666) for each sub-dimensions from each school and these were examined by all researchers in several consensus meetings and the final criteria for each sub-category were constructed together based on those discussions.</p> <p>This dataset accompanies the intellectual outputs of the DETECT project, including amongst others this report:</p> <p>Gouseti, A., Bruni, I., Ilomäki, L., Lakkala, M., Mundy, D., Raffaghelli, J., Ranieri, M., Roffi, A., Romero, M. and Romeu, T. (2021) <em>Schools’ perceptions and experiences of critical digital literacies across four European countries - DETECT Report 2. </em>Accessed at: <a href="http://doi.org/10.5281/zenodo.5070394">http://doi.org/10.5281/zenodo.5070394</a></p> <p><strong>Acknowledgement</strong></p> <p>This project was funded by Erasmus+, KA2. Project Reference: 2019-1-UK01-KA201-061508.</p>
The MASTRO Video presenting the project´s dissemination material
<p>Take a look the our video presenting the dissemination material designed during the project´s implementation. </p>
Fig. 2 in Projected Climate Change Effects On Nuthatch Distribution And Diversity Across Asia
Fig. 2. Model predictions of species distribution area retained (gray) and lost (black) due to climate change for two example species, Sitta tephronota (white triangles, western area) and S. frontalis (dotted squares, eastern area).
Fig. 1. Occurrence points for 12 in Projected Climate Change Effects On Nuthatch Distribution And Diversity Across Asia
Fig. 1. Occurrence points for 12 Sitta species and one Tichodroma species used in this study. Sitta solangiae and S. victoriae each had fewer than 5 occurrence points and were excluded from the analysis.
Fig. 3 in Projected Climate Change Effects On Nuthatch Distribution And Diversity Across Asia
Fig. 3. Model predictions regarding number and percent of nuthatch species lost due to climate change, along with estimated current and future species richness for nuthatches. Shading ramps range from white (minimum) to dark gray (maximum) as follows: number of species lost 0-5, percent of species lost 0-100, and current and future species richness 0-9 species.
FIG. 2. — Analyse factorielle des correspondances. Projection des 77 in Révision de Flabellipecten solarium (Lamarck, 1819) (Mollusca, Bivalvia, Pectinidae) du Miocène moyen et supérieur de l'Ancien Monde
FIG. 2. — Analyse factorielle des correspondances. Projection des 77 individus (73 principaux et 4 supplémentaires,) et des 10 variables (voir Fig. 1) dans le plan factoriel 1-2., Gigantopecten ligerianus (Dollfus & Dautzenberg, 1906);, Gigantopecten gigas (Schlotheim, 1813);, Flabellipecten solarium (Lamarck, 1819). Les contours et profils de quelques valves ont été ajoutés pour illustrer les résultats de l'analyse. Abréviations: cdp, coup de pouce (pour G. ligerianus) CMD, profondeur de la valve ou convexité maximale; DAP, diamètre antéro-postérieur; DUP, diamètre umbono-palléal (cette variable de référence est un indicateur de taille car prise dans la direction de croissance au niveau du plan directeur de la coquille); HOA, hauteur de l'oreille antérieure; HOP, hauteur de l'oreille postérieure; HPL, demi-hauteur postérieure, mesurée de la ligne cardinale au maximum de la largeur; LAH, demi-longueur antérieure prise au maximum ventral de la hauteur; LIC, longueur de la ligne cardinale; RAD, renfoncement antérieur du disque; RPD, renfoncement postérieur du disque (ces deux dernières variables permettent de caractériser la forme du disque: étiré dans le sens antéro-postérieur, donc plus ou moins ovale, lorsque ces renfoncements sont importants, plus arrondi lorsqu'ils sont plus faibles). Échelle: 2 cm.
Text-fig. 11. Scanning electron microscope (SEM) images of seeds assigned to the BEG group (a–d) and associated pollen grains (e–i); Torres Vedras locality, Portugal. a) Seed of Tomcatia taylorii showing the four horns formed by extensions of the envelope and the central projection of the envelope that surrounds to the micropylar tube; b, c) Seeds of Quadrispermum parvum in lateral (b) and apical (c) views showing the transverse ribs and the central projection of the envelope that surrounds the micropylar tube; d–f) Seeds of Ephedrispermum lusitanicum showing the four-angled seed envelope (d), the micropylar tube surrounded by the tissues of the integument (e), and ephedroid pollen grains on the seed surface (f); g) Apex of seed of Quadrispermum parvum showing simple in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 11. Scanning electron microscope (SEM) images of seeds assigned to the BEG group (a–d) and associated pollen grains (e–i); Torres Vedras locality, Portugal. a) Seed of Tomcatia taylorii showing the four horns formed by extensions of the envelope and the central projection of the envelope that surrounds to the micropylar tube; b, c) Seeds of Quadrispermum parvum in lateral (b) and apical (c) views showing the transverse ribs and the central projection of the envelope that surrounds the micropylar tube; d–f) Seeds of Ephedrispermum lusitanicum showing the four-angled seed envelope (d), the micropylar tube surrounded by the tissues of the integument (e), and ephedroid pollen grains on the seed surface (f); g) Apex of seed of Quadrispermum parvum showing simple
TYPES: Male holotype from Panama: Panama: Parque Nacional Altos de Campana, 1 hectare PANCODING Inventory, 895 m, 8.68333°, -79.92972°, June 14–19, 2007, M. Arnedo, D. Dimitrov, G. Hormiga, F. Labarque, M. Ramírez, deposited in MIUP, PBI_OON 42313; same data, 1 male paratype deposited in MACN-Ar 29895, PBI_OON 42312. ETYMOLOGY: A noun in apposition; in Greek religion and mythology, Pan is the god of the wild natural world, of shepherds, flocks, and mountains, and of hunting and rustic music. He has hindquarters, legs, and horns of a goat, and the name is here employed to note the large mac- rosetae at the eye region of males that resemble the horns in some illustrations of this god. DIAGNOSIS: This is one of the most autapomor- phic species from the Americas; males have the labium fused with the sternum (fig. 34B), small chelicerae, shorter than the endite length, with anterior blunt projections, and directed backward in lateral view (fig. 34D, E); clypeus directed back- ward (fig. 34D); two light areas on the sternum just below the endites (fig. 34B), carapace almost flat in lateral view and two strong macrosetae at the eye region, pointing forward (fig. 34C–E). Other characters of the male palp, such as the presence of two apophyses, also distinguish this species from others (fig. 38D–F). MALE (PBI_OON 42312): Total length 1.00. Habitus as in figure 34A–C. CEPHALOTHO- RAX: Carapace orange, with brown stripe along in Taxonomic Revision Of The Jumping Goblin Spiders Of The Genus Orchestina Simon, 1882, In The Americas (Araneae: Oonopidae)
TYPES: Male holotype from Panama: Panama: Parque Nacional Altos de Campana, 1 hectare PANCODING Inventory, 895 m, 8.68333°, -79.92972°, June 14–19, 2007, M. Arnedo, D. Dimitrov, G. Hormiga, F. Labarque, M. Ramírez, deposited in MIUP, PBI_OON 42313; same data, 1 male paratype deposited in MACN-Ar 29895, PBI_OON 42312. ETYMOLOGY: A noun in apposition; in Greek religion and mythology, Pan is the god of the wild natural world, of shepherds, flocks, and mountains, and of hunting and rustic music. He has hindquarters, legs, and horns of a goat, and the name is here employed to note the large mac- rosetae at the eye region of males that resemble the horns in some illustrations of this god. DIAGNOSIS: This is one of the most autapomor- phic species from the Americas; males have the labium fused with the sternum (fig. 34B), small chelicerae, shorter than the endite length, with anterior blunt projections, and directed backward in lateral view (fig. 34D, E); clypeus directed back- ward (fig. 34D); two light areas on the sternum just below the endites (fig. 34B), carapace almost flat in lateral view and two strong macrosetae at the eye region, pointing forward (fig. 34C–E). Other characters of the male palp, such as the presence of two apophyses, also distinguish this species from others (fig. 38D–F). MALE (PBI_OON 42312): Total length 1.00. Habitus as in figure 34A–C. CEPHALOTHO- RAX: Carapace orange, with brown stripe along
FIG. 3 in A biotic survey and inventory of the dynastine scarab beetles of Mesoamerica, North America, and the West Indies: review of a long-term, multicountry project
FIG. 3. — Map of the study area showing the phases (I-IV) of the dynastine biotic inventory project.
FIG. 1 in A biotic survey and inventory of the dynastine scarab beetles of Mesoamerica, North America, and the West Indies: review of a long-term, multicountry project
FIG. 1. — Brett Ratcliffe and Renaud Paulian in Bordeaux, France, 13 May 2001. Photo: M. L. Jameson.
Cross-Register Projection for Headline Part of Speech Tagging
<p>POSH: The POS-tagged HeadlIne corpus was created for the paper “Cross-Register Projection for Headline Part of Speech Tagging” published in EMNLP 2021. This dataset contains headlines with gold annotated POS tags.</p> <p>The <em>GSCh</em> evaluation set is here: GSCh/gsc-headline-gold.test.conllu</p> <p>The smaller evaluation set of GSC headlines sampled uniformly at random (described in section 2.3) is here: gold_unconstrained_headlines/unifrand_gsc.test.conllu</p> <p>The POS-tagged NYT headlines described in section 2.3 are not shared directly as this text was drawn from the New York Times Annotated Corpus (LDC2008T19), and subject to license constraints. However, if you have access to and have untarred LDC2008T19, you can recover this evaluation set with:</p> <p> TAG_PATH="./unifrand_onlynyt.tags.json" # mapping from NYT headline span to gold POS tag</p> <p> python build_gold_nyt_headlines.py --nyt_dir /PATH/TO/ANNOTATED/NYT/CORPUS/ --tag_path ${TAG_PATH} --num_proc 4</p> <p>Increase the argument to --num_procs to process more shards from the NYT corpus in parallel and reduce build time.</p> <p>Under GSCproj we also share the <em>GSCproj</em> folds which we used to train and validate our models. These are not gold POS tags, and are shared purely for reproducibility sake.</p>
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.
Annotated Behaviour and Observability Dataset (ABODe)
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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.
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.
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.