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Supplementary material 1 from: Strokov AS, Potashnikov VY (2022) Environmental tradeoffs of agricultural growth in Russian regions and possible sustainable pathways for 2030. Russian Journal of Economics 8(1): 60-80. https://doi.org/10.32609/j.ruje.8.78331
Maps of main environmental indicators of Russian regional agricultural development
Supplementary material 2 from: Strokov AS, Potashnikov VY (2022) Environmental tradeoffs of agricultural growth in Russian regions and possible sustainable pathways for 2030. Russian Journal of Economics 8(1): 60-80. https://doi.org/10.32609/j.ruje.8.78331
The dataset on agricultural waste, nitrogen concentration, and GHG emissions in Russian regions
CROSSBOW HLU2-UC5-TC1 Economic benefit of mFRR down market participation
<p>The energy market participation algorithm of RES-CC allows for participating in DA/ID markets and balancing markets. The process uses the energy generation forecasting of the plants to generate the energy bids for the DA/ID market. With regards to the mFRR market, the whole amount of curtailable energy is offered for downward regulation, obtaining additional benefits in case this energy is demanded by the SO.</p> <p>This dataset contains the economic results of the market participation algorithm. For each hour the following data is presented:</p> <ul> <li>the economic revenues in the base case, with only participation in IDM, and</li> </ul> <p>the economic revenues of using mFRR down balancing market participation</p>
Economic Development or Political Survival? Riding the Belt and Road to Re-elections
<p>DATASET AND DO FILE</p>
Phylogenomics and species delimitation of the economically important Black Basses (Micropterus)
<p>Informed management and conservation efforts are vital to sustainable recreational fishing and biodiversity conservation. Because the taxonomic rank of species is typically targeted in conservation and management strategies, success of these efforts depends on accurate species delimitation. The Black Basses (<em>Micropterus</em>) are an iconic lineage of freshwater fishes that include some of the world's most popular species for recreational fishing and rank among the world's most invasive vertebrate species. Despite their popularity, previous studies to delimit species and lineages in <em>Micropterus</em> suffer from insufficient geographic coverage and uninformative molecular markers. Phylogenomic analyses of ddRAD data result in the delimitation of 19 species in <em>Micropterus</em>, which includes 14 described species, the undescribed but fairly well-known Altamaha Bass, Bartram's Bass, and Choctaw Bass, and two additional undescribed species currently classified as Smallmouth Bass (<em>M. dolomieu</em>). We also provide a revised delimitation of species in the Largemouth Bass complex that necessitates a change in scientific nomenclature: <em>Micropterus salmoides</em> is retained for the Florida Bass and <em>Micropterus nigricans </em>is elevated from synonymy for the Largemouth Bass. Our findings provide a resolved phylogeny of all <em>Micropterus </em>species, insight into the role of introgression in the history of <em>Micropterus</em> diversification, and a robust delimitation of species that differs from current taxonomic classifications and the list of North American fishes maintained by the American Fisheries Society. The new understanding of diversity, distribution, and systematics of Blass Basses will serve as an important basis for the management and conservation of this charismatic and economically important clade of fishes.</p>
Supplementary material 1 from: Woolfrey L (2017) Data Management Plan: Opening access to economic data to prevent tobacco related diseases in Africa. Research Ideas and Outcomes 3: e14837. https://doi.org/10.3897/rio.3.e14837
Data quality issues: Accuracy - issues around data collection.
Supplementary material 1 from: Nentwig W, Vaes-Petignat S (2014) Environmental and economic impact of alien terrestrial arthropods in Europe. NeoBiota 22: 23-42. https://doi.org/10.3897/neobiota.22.6620
Handbook of the scoring system for the impacts of alien species:
Supplementary material 2 from: Nentwig W, Vaes-Petignat S (2014) Environmental and economic impact of alien terrestrial arthropods in Europe. NeoBiota 22: 23-42. https://doi.org/10.3897/neobiota.22.6620
Literature used to score 77 terrestrial arthropod species:
Figure 1 from: Woolfrey L (2017) Data Management Plan: Opening access to economic data to prevent tobacco related diseases in Africa. Research Ideas and Outcomes 3: e14837. https://doi.org/10.3897/rio.3.e14837
Figure 1 - Tobacco Data in Africa Project Data Inventory 2016. Original data available as Suppl. material 1.
Figure 3 in Self-reported headache among the employees of a Swiss university hospital: prevalence, disability, current treatment, and economic impact
Figure 3 Percentage of employees with headache distributed according to occupational groups. After correction for age and seX there Was at trend that healthcare staff, administration, and medical technicians suffered more from headaches than physicians. See teXt. The absolute numbers of respondents are given on the respective columns.
Figure 4 in Self-reported headache among the employees of a Swiss university hospital: prevalence, disability, current treatment, and economic impact
Figure 4 MIDAS grades in respondents with migraine and tension-type headache employed in a Swiss university hospital. Grade 1 (scores 0–5) = little or no disability; grade 2 (scores 6–10) = mild disability; grade 3 (scores 11–20) = moderate disability; grade 4 (score ≥ 21) = severe disability [14]. There Was significant association betWeen headache diagnosis and MIDAS grade (p<0.001).
Figure 2 in Self-reported headache among the employees of a Swiss university hospital: prevalence, disability, current treatment, and economic impact
Figure 2 Flow chart of the study: Participation and sample characteristics.
Figure 9 from: Syromyatnikov MY, Golub VB, Kokina AV, Soboleva VA, Popov VN (2017) DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae). ZooKeys 706: 51-71. https://doi.org/10.3897/zookeys.706.13888
Figure 9 - Restriction fragments of COI PCR products (restriction enzyme, species): 1 AhlI, E. maura or E. testudinaria 2 AhlI, E. integriceps 3 PsiI, E. maura or E. testudinaria 4 PsiI, E. integriceps 5 Bst2UI, E. maura or E. testudinaria 6 Bst2UI, E. integriceps; M, 100 bp DNA ladder.
Figure 8 from: Syromyatnikov MY, Golub VB, Kokina AV, Soboleva VA, Popov VN (2017) DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae). ZooKeys 706: 51-71. https://doi.org/10.3897/zookeys.706.13888
Figure 8 - Neighbor joining analysis of COI gene sequences from Eurygaster species. * - sequences obtained in this work.
Figure 5 from: Syromyatnikov MY, Golub VB, Kokina AV, Soboleva VA, Popov VN (2017) DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae). ZooKeys 706: 51-71. https://doi.org/10.3897/zookeys.706.13888
Figure 5 - Species of the genus Eurygaster Laporte, general view: A E. integriceps (Puton) B E. maura L. C E. testudinaria (Geoffroy) D E. dilaticollis Dohrn. Specimens A–C were collected in the Voronezh Region; specimen D was from the Teberda Nature Reserve, Caucasus.
Figure 2 from: Syromyatnikov MY, Golub VB, Kokina AV, Soboleva VA, Popov VN (2017) DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae). ZooKeys 706: 51-71. https://doi.org/10.3897/zookeys.706.13888
Figure 2 - Range of Eurygaster maura (Linnaeus, 1758) (after Göllner-Scheiding 2006 and Vinokurov et al. 2010).
Figure 7 from: Syromyatnikov MY, Golub VB, Kokina AV, Soboleva VA, Popov VN (2017) DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae). ZooKeys 706: 51-71. https://doi.org/10.3897/zookeys.706.13888
Figure 7 - Structural details of Eurygaster Laporte species (a, clypeus; b, jugal plate): A E. austriaca (Schrank), head, dorsal view B E. integriceps (Puton), dorsal view C E. integriceps, aedeagus D E. maura L., aedeagus E E. testudinaria (Geoffroy), aedeagus (after Golub, 1980, with changes).
Figure 6 from: Syromyatnikov MY, Golub VB, Kokina AV, Soboleva VA, Popov VN (2017) DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae). ZooKeys 706: 51-71. https://doi.org/10.3897/zookeys.706.13888
Figure 6 - Head, anterior view (A, B) and female median genital plates (C, D) of E. maura L. (A, C) and E. testudinaria (Geoffroy) (B, D).
Figure 3 from: Syromyatnikov MY, Golub VB, Kokina AV, Soboleva VA, Popov VN (2017) DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae). ZooKeys 706: 51-71. https://doi.org/10.3897/zookeys.706.13888
Figure 3 - Range of Eurygaster testudinaria (Geoffray, 1758) (after Göllner-Scheiding 2006 and Vinokurov et al. 2010).
Figure 4 from: Syromyatnikov MY, Golub VB, Kokina AV, Soboleva VA, Popov VN (2017) DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae). ZooKeys 706: 51-71. https://doi.org/10.3897/zookeys.706.13888
Figure 4 - Range of Eurygaster dilaticollis Dohrn, 1860 (after Göllner-Scheiding 2006 and Vinokurov et al. 2010).
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.