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155 results for “Slovenia”
Dataset: Preliminary analysis of open data pertaining to the services available through the Health Insurance Institute of Slovenia and provided by family medicine
<p>BACKGROUND: The Health Insurance Institute of Slovenia (ZZZS) began publishing service-related data in May 2023, following a directive from the Ministry of Health (MoH). The ZZZS website provides easily accessible information about the services provided by individual doctors, including their names. The user is provided relevant information about the doctor's employer, including whether it is a public or private institution. The data provided is useful for studying the public system's operations and identifying any errors or anomalies. </p> <p>METHODS: The data for services provided in May 2023 was downloaded and analysed. The published data were cross-referenced using the provider's RIZDDZ number with the daily updated data on ambulatory workload from June 9, 2023, published by ZZZS. The data mentioned earlier were found to be inaccurate and were improved using alerts from the zdravniki.sledilnik.org portal. Therefore, they currently provide an accurate representation of the current situation. The total number of services provided by each provider in a given month was determined by adding up the individual services and then assigning them to the corresponding provider. </p> <p>RESULTS: A pivot table was created to identify 307 unique operators, with 15 operators not appearing in both lists. There are 66 public providers, which make up about 72% of the contractual programme in the public system. There are 241 private providers, accounting for about 28% of the contractual programme. In May 2023, public providers accounted for 69% (n=646,236) of services in the family medicine system, while private providers contributed 31% (n=291,660). The total number of services provided by public and private providers was 937,896. Three linear correlations were analysed. The initial analysis of the entire sample yielded a high R-squared value of .998 (adjusted R-squared value of .996) and a significant level below 0.001. The second analysis of the data from private providers showed a high R Squared value of .904 (Adjusted R Squared = .886), indicating a strong correlation between the variables. Furthermore, the significance level was < 0.001, providing additional support for the statistical significance of the results. The third analysis used data from public providers and showed a strong level of explanatory power, with a R Squared value of 1.000 (Adjusted R Squared = 1.000). Furthermore, the statistical significance of the findings was established with a p-value < 0.001. </p> <p>CONCLUSION: Our analysis shows a strong linear correlation between contract size of the program signed and number services rendered by family medicine providers. A stronger linear correlation is observed among providers in the public system compared to those in the private system. Our study found that private providers generally offer more services than public providers. However, it is important to acknowledge that the evaluation framework for assessing services may have inherent flaws when examining the data. Prescribing a prescription and resuscitating a patient are both assigned a rating of one service. It is crucial to closely monitor trends and identify comparable databases for pairing at the secondary and tertiary levels.</p>
Data from Commission for the Prevention of Corruption of the Republic of Slovenia: public-to-private transactions
Open the record for dataset details and reuse information.
Hyperspectral images of the beehive panel from Slovenia
<p>Four hyperspectral imaging cameras were used for scanning cultural heritage objects provided by the Slovenian Ethnographic Museum. The objects were beehive panels from the museum collection. HIS cameras used were: FX10, FX17, SWIR, MWIR, all produced by SPECIM. Hyperspectral image files include the standard output generated when acquiring hyperspectral images with the Lumo software tool (SPECIM), including white and dark references. These files can be open in diverse other tools, including Matlab. </p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – Slovenia
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: Ministry for Agriculture, Forestry and Food</p>
Hillforts overlooking village Grahovo - Slovenia
On the eastern edge of lake Cerknica above village Grahovo we can find 4 hillforts clustered together. It is typical for whole region around lake, that hillforts are situated on the hills surrounding it. As lake is intermittent it provides extensive farming land and pastures. 1. Hillfort Spicek is the largest of four. The remains of a wall around it are still in good condition. Inside it there are clearly seen the housing terraces. 2. Hillfort Zajcji Vrh is in between both bigger ones. Remains of a wall around it are still visible. 3. Hillfort Zerovniscek has double on some places triple wall around it. On the top level there are clearly seen remains of late antiquity (probably 5. and 6. century AD) houses. Iron age and later reused in late antiquity. 4. Hillfort Lisjak is the least preserved of all four. Even on lidar we barely see it. Thanks to Mike Gill for the python coding https://github.com/mike-gill/qgis2sketchfab LiDAR data http://gis.arso.gov.si/evode/profile.aspx?id=atlas_voda_Lidar@Arso Source: Objaverse 1.0 / Sketchfab
Slovenia
[Slovenia](https://en.wikipedia.org/wiki/Slovenia) is a country in Central Europe. It is bordered by Italy to the west, Austria to the north, Hungary to the northeast, Croatia to the southeast, and the Adriatic Sea to the southwest. Slovenia is mostly mountainous and forested, covers 20,271 square kilometres (7,827 sq mi), and has a population of 2.1 million (2,107,007 people). Source: Objaverse 1.0 / Sketchfab
Data related to Mapping user-related comfort conditions to identify urban planning issues for improved quality of places in cities: The case of Ljubljana, Slovenia
<p>The data consists of parameters including air temperature, noise levels, humidity, and air quality (PM 2.5), measured using a portable ICT device while cycling through the city of Ljubljana between August 1 and August 30, 2022. The data is available as raw CSV files, with each measurement session stored in a separate file. An additional QGIS Project file (qgz) is included, along with maps (in jpg format in ppt) that visually represent the results presented in the article.</p>
AI results complementing the 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Slovenia
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>
Archaeological LiDAR data, Kostanjevica na Krasu (Slovenia). Companion data to article "Executable Map Paper (EMaP) for archaeological LiDAR"
<p>Archaeological LiDAR data, Kostanjevica na Krasu (Slovenia) is a supplement to the article "Executable Map Paper (EMaP) for archaeological LiDAR". In the future we also intend to publish an archaeological interpretation of the same data (current working title: "An Archaeological Interpretation of Airborne LiDAR Data. Case study from Kostanjevica na Krasu (Slovenia)").</p> <p>All relevant para- and metadata are available in the listed publications.</p> <p>The deposited data are intended for use in a GIS system and consist of:</p> <p>0.5m DFM (GeoTIFF with TFW)</p> <p>Sky view visualisation of the same DFM (GeoTIFF)</p> <p>Archaeological features - points ( Shape file)</p> <p>Archaeological features - lines (Shape file)</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Slovenia
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: Ministry for Agriculture, Forestry and Food</p>
FIGURE 1 in The first record of two non-native ambrosia beetles in Slovenia: Ambrosiodmus rubricollis (Eichhoff, 1875) and Ambrosiophilus atratus (Eichhoff, 1875) (Coleoptera: Curculionidae, Scolytinae)
FIGURE 1: Weekly catch of A. rubricollis and A. atratus specimens during the monitoring period in 2018.
FIGURES 28–30 in A new species of Cyphophthalmi (Arachnida, Opiliones, Sironidae) from Eastern Slovenia
FIGURES 28–30. Siro crassus sp. n., spermatopositor of male paratype LS 362/1985 and of holotype TN 310/2002. 28, male paratype, dorsal view, inverted light micrograph showing the slightly outward curved movable finger tips (see arrow) (scale bar 50 µm); 29, holotype, line drawing, dorsal view; 30, same, lateral view (scale bar 100 µm).
FIGURES 14–17 in A new species of Cyphophthalmi (Arachnida, Opiliones, Sironidae) from Eastern Slovenia
FIGURES 14–17. Siro crassus sp. n., male paratype MCZ 68552 and MCZ DNA101802. 14, left chelicera, retrolateral view (scale bar 250 µm); 15, detail of cheliceral fingers (scale bar 100 µm) [note that lower angled edge corresponds to the glue on the carbon tape]; 16, left palp, retrolateral view (scale bar 400 µm); 17, detail of palpal claw (scale bar 25 µm).
FIGURES 18–27 in A new species of Cyphophthalmi (Arachnida, Opiliones, Sironidae) from Eastern Slovenia
FIGURES 18–27. Siro crassus sp. n., left legs of paratypes MCZ 68552–68553 and MCZ DNA101802. 18, tarsus and metatarsus of leg I of male, retrolateral view (scale bar 400 µm); 19, detail of claw I (scale bar 50 µm); 20, tarsus and metatarsus of leg II of male, retrolateral view (scale bar 400 µm); 21, detail of claw II (scale bar 50 µm); 22, tarsus and metatarsus of leg III of male, retrolateral view (scale bar 400 µm); 23, detail of claw III (scale bar 50 µm); 24, tarsus and metatarsus of leg IV of male, retrolateral view (scale bar 400 µm); 25, detail of claw IV (scale bar 50 µm); 26, detail of adenostyle (scale bar 30 µm); 27, tarsus and metatarsus of leg IV of female, retrolateral view (scale bar 400 µm).
FIGURES 31–32 in A new species of Cyphophthalmi (Arachnida, Opiliones, Sironidae) from Eastern Slovenia
FIGURES 31–32. Siro crassus sp. n., distal portion of ovipositor of female paratype TN 310/2002. 31, light micrograph, slightly deformed after treatment with lactic acid (scale bar 50 µm); 32, line drawing (scale bar 100 µm).
FIGURES 6–13 in A new species of Cyphophthalmi (Arachnida, Opiliones, Sironidae) from Eastern Slovenia
FIGURES 6–13. Siro crassus sp. n., paratypes MCZ 68552–68553 and MCZ DNA101802. 6, ventral prosomal complex of male (scale bar 150 µm); 7, ventral prosomal complex of female (scale bar 150 µm); 8, ventral anal region of male (scale bar 150 µm); 9, ventral anal region of female (scale bar 250 µm); 10, anal gland openings (see arrows) (scale bar 30 µm); 11, anal region of female, lateral view (scale bar 200 µm); 12, left spiracle of male (scale bar 25 µm); 13 detail of the cuticular granulation of the ventral opisthosomal region (scale bar 10 µm).
FIGURES 4–5 in A new species of Cyphophthalmi (Arachnida, Opiliones, Sironidae) from Eastern Slovenia
FIGURES 4–5. Siro crassus sp. n., ventral view of paratypes MCZ 68552–68553 and MCZ DNA101802. 5, male; 6, female. Scale bars 600 µm.
FIGURE 3 in A new species of Cyphophthalmi (Arachnida, Opiliones, Sironidae) from Eastern Slovenia
FIGURE 3. Siro crassus sp. n., female paratype MCZ 68553 and MCZ DNA101802: A, dorsal view; B, ventral view; C, lateral view.
FIGURE 2 in A new species of Cyphophthalmi (Arachnida, Opiliones, Sironidae) from Eastern Slovenia
FIGURE 2. Siro crassus sp. n., male paratype MCZ 68552 and MCZ DNA101802: A, dorsal view; B, ventral view; C, lateral view.
FIGURE 1 in Aphidiinae (Hymenoptera, Braconidae, Aphidiinae) from Slovenia, with description of a new Aphidius species
FIGURE 1: Macro-regions of Slovenia (green area—Pannonian; blue area—Alpine; brown area—Dinaric; and yellow area— Mediterranean macro-region) (with permission of Anton Melik Geographical Institute).
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.