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MOL-TR data set - format_dataframe.csv: Full traffic count data set of all vehicle types and all stations. - holidays.csv: Public holidays during the period - weather.csv: Weather data for each day - minute_full.csv: Parsed traffic data - minute_full_station_merged.csv: Parsed and merged traffic data - locations.csv: Locations of measuring stations. Note that this information has not been thoroughly checked, and some of it is missing. One can load data sets traffic data, holidays and weather with: import pandas as pd traffic = pd.read_csv('format_dataframe.csv') holidays = pd.read_csv('holidays.csv') weather = pd.read_csv('weather.csv')

Published as part of NovljanK, Monica, K, Tanja Bohinc, KreiterK, Serge, K, Ismail Döker & TrdanK, Stanislav, 2023, The indigenous species of predatory mites (Acari: Phytoseiidae) as biological control agents of plant pests in Slovenia, pp. 1048-1061 in Acarologia 63 (4) on page 1052, DOI: 10.24349/0p4s-gjtm, http://zenodo.org/record/10785894 Figure 3 Adult female ofNeoseiulus cucumeris (photo: Institut Agro Montpellier).

These likelihood tables supplement the article arXiv:2007.16129 as to enable the interested audience to obtain a rough estimate of the expected upper limits for DM pair-annihilation in the Galactic centre of the Milky Way as observed by the Cherenkov Telescope Array with respect to their favourite DM model. Further information can be found in Sec. 5.2 of the mentioned publication. There are four files that have been derived with respect to either the full CTA South baseline array layout or the initial construction phase of CTA South. Moreover, we provide these tables with and without the inclusion of systematic uncertainties. The definition of the employed systematic uncertainties can be found in the main publication.

Published as part of Sendra, Alberto, Antić, Dragan, Barranco, Pablo, Borko, Špela, Christian, Erhard, Delić, Teo, Fadrique, Floren, Faille, Arnaud, Galli, Loris, Gasparo, Fulvio, Georgiev, Dilian, Giachino, Pier Mauro, Kovac, L'ubomír, Lukić, Marko, Marcia, Paolo, Miculinić, Kazimir, Nicolosi, Giuseppe, Palero, Ferran, Paragamian, Kaloust, Pérez, Toni, Polak, Slavko, Prieto, Carlos E., Turbanov, Ilya, Vailati, Dante & Reboleira, Ana Sofia P. S., 2020, Flourishing in subterranean ecosystems: Euro-Mediterranean Plusiocampinae and tachycampoids (Diplura, Campodeidae), pp. 1-138 in European Journal of Taxonomy 591 on page 81, DOI: 10.5852/ejt.2020.591, http://zenodo.org/record/3659823 Figs 131–134. Plusiocampa (Plusiocampa) schweitzeri Condé, 1947, from Govještica, Banja stijena, Rogatica, Bosnia and Herzegovina (Coll. AS). 131. Medial antennomere, latero-distal view. 132. Medial portion of a gouge sensillum, detail. 133. Surface of metanotum, detail. 134. Distal portion of tarsus and pretarsus, lateral view.

Published as part of Kozel, Peter, Delić, Teo & Novak, Tone, 2020, Nemaspela borkoae sp. nov. (Opiliones: Nemastomatidae), the second species of the genus from the Dinaric Karst, pp. 90-107 in European Journal of Taxonomy 717 on page 95, DOI: 10.5852/ejt.2020.717.1103, http://zenodo.org/record/4058678 Fig. 2. Nemaspela borkoae sp. nov., ♂, holotype (PMSL-Opiliones-PK&TN 4/2019). A. Right pedipalp, medial view. B. Right chelicera, medial view. C. Penis, ventral view. D. Penis, dorsal view. E. Penis, lateral view. F. Right chelicera, medial (left) and lateral (right) views.

A database has been developed and delivered during the FAIRWAY project. This database was developed as a response to the need to harmonize datasets and assessment methods related to pressure and state indicators for water quality in the EU member states, in order to compare and assess indicators using a harmonized approach. The dataset that is made available here provides two files: a public version* of the Excel database, which contains all "tabular" (non-GIS) data related to the 13 case studies that was gathered for the purposes of FAIRWAY's Monitoring & Indicators research theme. It is structured as one "data sheet" and one "summary sheet" per case study. The data sheets contain various parameters (ideally time-dependent data series i.e. time series) that were used, wherever possible, to compute relevant Agri-drinking water quality indicators (ADWIs) such as "nitrogen budget" (a compound Pressure indicator) or "lag time" (a statistically-inferred Link indicator). a ZIP folder containing all GIS data gathered for the FAIRWAY's Monitoring & Indicators research theme. The GIS files are grouped in subfolders, by case study, and then by keywords describing the nature of the spatial data. The Excel database contains near 385,000 rows of data from the 13 case study sites, with more than 65 parameters and more than 500 sub-parameters. The dataset also contains spatial information in a GIS-data zipped folder. The spatial mapping information can be made visible using basic QGIS project files (.qgz), so that GIS data from each case study can be explored. The indicators database can be used in several ways. It may be used to explore data or to calculate additional indicators. Depending of the case studies��� interests, the most commonly available State indicators are about nitrate and pesticides concentrations in water. From a practical point of view based on its actual content, the database may notably be used to explore statistical relations (or Links) between related Pressure and State indicators. This database can also be used as a spatial mapping portal for other usages. For more information on the database, follow this link. * Note that this is a public version of the database, which means that all confidential data was removed from the data sheets. This is the PUBLIC version of the database, where all confidential data has been removed from the Excel-file data sheets.

FIGURES 20–23. SEM micrographs of third instar larva of M. yemenicus (continued). 20. Tarsus of fore leg with paired claws. 21. A group of four digging bristles on the tip of the abdomen. 22. Sternite 9 with digging bristles and submedial teeth (asterisks) on sternite 8. 23. Detail showing an arrangement of digging bristles. Published as part of Devetak, Dušan, Lipovšek, Saška & Pabst, Maria-Anna, 2010, Morphology and biology of the antlion Myrmeleon yemenicus Hölzel, 2002 (Neuroptera, Myrmeleontidae)*, pp. 48-56 in Zootaxa 2531 (1) on page 54, DOI: 10.11646/zootaxa.2531.1.5, http://zenodo.org/record/5302003

FIGURE 3. Pleon and urosoma. A: pleonites II–III of N. dalmatinus, dorsoventral lines illustrate the approximately perpendicular and sharply inclined distoposterior angle of epimeral plates (original drawing). Variability in shape and number of dorsoposterior setae along pleonites I–III (dorsal view, the position of setae indicated by arrow): B: N. lunaris (after G. Karaman 1985); C: N. salonitanus (S. Karaman 1950); D: N. bilecanus (after S. Karaman 1953). Variable shape of epimeral plates: E: N. balcanicus, arrows indicate setae along posterior margin and setae along subventral margin (after S. Karaman 1932); F: N. illidzensis (after S. Karaman 1932); G: N. valachicus (after S. Karaman 1950); H: N. pectinicauda (after Sket 1971); I: N. skopljensis (S. Karaman 1943a); J: N. orcinus (after S. Karaman 1950); K: N. jurinaci (after S. Karaman 1950); L: N. dalmatinus (after S. Karaman 1950); M: N. pannonicus (after S. Karaman 1950). Setal patterns on urosomites I–III: N: N. dalmatinus (urosomites I–II, original drawing); O: setae on humps in N. balcanicus (after S. Karaman 1932); P: setae on urosomite III in N. podgoricensis (rarely present otherwise) (arrow, after G. Karaman 1984a); spine-like seta at the base of uropods I (arrow) may be multiplied in some species. Published as part of Fišer, Cene, Trontelj, Peter, Luštrik, Roman & Sket, Boris, 2009, Toward a unified taxonomy of Niphargus (Crustacea: Amphipoda): a review of morphological variability, pp. 1-22 in Zootaxa 2061 (1) on page 6, DOI: 10.11646/zootaxa.2061.1.1, http://zenodo.org/record/5320292