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The Caucasus-Economic and Social Analysis Journal of Southern Caucasus
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES</p> <p>TECHNICAL AND APPLIED SCIENCES</p> <p>REGIONAL DEVELOPMENT AND INFRASTRUCTURE</p> <p>ECONOMIC, MANAGEMENT & MARKETING SCIENCES</p> <p>LEGAL, LEGISLATION AND POLITICAL SCIENCES</p>
Figures 39-44. 39 in Economically Beneficial Ground Beetles. The specialized predators Pheropsophus aequinoctialis (L.) and Stenaptinus jessoensis (Morawitz): Their laboratory behavior and descriptions of immature stages (Coleoptera: Carabidae: Brachininae)
Figures 39-44. 39 – Th orax (dorsal aspect) of P. aequinoctialis, third instar; legs not shown. 40 – Thorax (ventral aspect) of P. aequinoctialis, third instar; legs not shown. 41 – Abdominal terga I & II (dorsal aspect) of P. aequinoctialis, third instar. 42 – Abdominal sterna I & II (ventral aspect) of P. aequinoctialis, third instar. 43 – Abdominal terga VII to X (dorsal aspect) of P. aequinoctialis, third instar. 44 – Abdominal sterna VII to X (ventral aspect) of P. aequinoctialis, third instar.
Supplementary material from: Ashurov S, Othman AHA, Bin Rosman R, Bin Haron R (2020) The determinants of foreign direct investment in Central Asian region: A case study of Tajikistan, Kazakhstan, Kyrgyzstan, Turkmenistan and Uzbekistan (A quantitative analysis using GMM). Russian Journal of Economics 6(2): 162-176. https://doi.org/10.32609/j.ruje.6.48556
Arellano–Bond dynamic panel-data estimation
Data from: Towards a worldwide wood economics spectrum
Wood performs several essential functions in plants, including mechanically supporting aboveground tissue, storing water and other resources, and transporting sap. Woody tissues are likely to face physiological, structural and defensive trade-offs. How a plant optimizes among these competing functions can have major ecological implications, which have been under-appreciated by ecologists compared to the focus they have given to leaf function. To draw together our current understanding of wood function, we identify and collate data on the major wood functional traits, including the largest wood density database to date (8412 taxa), mechanical strength measures and anatomical features, as well as clade-specific features such as secondary chemistry. We then show how wood traits are related to one another, highlighting functional trade-offs, and to ecological and demographic plant features (growth form, growth rate, latitude, ecological setting). We suggest that, similar to the manifold that tree species leaf traits cluster around the 'leaf economics spectrum', a similar 'wood economics spectrum' may be defined. We then discuss the biogeography, evolution and biogeochemistry of the spectrum, and conclude by pointing out the major gaps in our current knowledge of wood functional traits.
Supplementary material 3 from: Eddy B, Muggridge M, LeBlanc R, Osmond J, Kean C, Boyd E (2020) An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada's Forest Ecumene. One Ecosystem 5: e55881. https://doi.org/10.3897/oneeco.5.e55881
Supplement C - Labour Force Distribution Maps of Natural Resource Sectors in Canada
Supplementary material 2 from: Eddy B, Muggridge M, LeBlanc R, Osmond J, Kean C, Boyd E (2020) An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada's Forest Ecumene. One Ecosystem 5: e55881. https://doi.org/10.3897/oneeco.5.e55881
Supplement B - GIS Procedure for Mapping Labour Force Distribution
Supplementary material 1 from: Eddy B, Muggridge M, LeBlanc R, Osmond J, Kean C, Boyd E (2020) An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada's Forest Ecumene. One Ecosystem 5: e55881. https://doi.org/10.3897/oneeco.5.e55881
Supplement A - GIS Procedure for Population Estimation
Figure 3 from: Kotvitska A, Prokopenko O (2020) Determination of social and economic accessibility of drugs for treatment of Parkinson's disease on the basis of modern approaches. Pharmacia 67(4): 215-221. https://doi.org/10.3897/pharmacia.67.e46586
Figure 3 The dynamics of the indicator of the availability of foreign and domestic medicines for the pensioners.
Figure 2 from: Kotvitska A, Prokopenko O (2020) Determination of social and economic accessibility of drugs for treatment of Parkinson's disease on the basis of modern approaches. Pharmacia 67(4): 215-221. https://doi.org/10.3897/pharmacia.67.e46586
Figure 2 The dynamics of the indicator of the availability of foreign and domestic medicines for the working population.
Figure 1 from: Kotvitska A, Prokopenko O (2020) Determination of social and economic accessibility of drugs for treatment of Parkinson's disease on the basis of modern approaches. Pharmacia 67(4): 215-221. https://doi.org/10.3897/pharmacia.67.e46586
Figure 1 Algorithm for conducting studies to determine the social and economic affordability of medicines for the treatment of PD.
Public health and economic benefits of spotted hyenas (Crocuta crocuta) in a peri-urban system
<p>Species that depend on anthropogenic waste for food can remove pathogens that pose health risks to humans and livestock, thereby saving lives and money. Quantifying these benefits is rare, yet can lead to innovative conservation solutions.</p> <p>To assess these benefits, we examined the feeding ecology and population size of peri-urban spotted hyenas (<i>Crocuta crocuta</i>) in Mekelle, Ethiopia. We integrated these field data into a disease transmission model to predict: a) the number of anthrax and bovine tuberculosis (bTB) infections arising in humans and livestock from infected carcass waste, and b) the costs associated with treating these infections and losing livestock. We compared these public health and economic outcomes under two scenarios: a) hyenas are present, and b) the counterfactual, hyenas are absent.</p> <p>We estimated that hyenas annually remove 4.2% (207 tonnes) of the total carcass waste disposed of by residents and businesses in Mekelle. Furthermore, the scavenging behaviour of hyenas annually prevents five infections of anthrax and bTB in humans, and 140 infections in cattle, sheep and goats. This disease control service potentially saves USD 52,165 due to the treatment costs and livestock loss avoided.</p> <p><i>Synthesis and applications</i>. This human-hyena interaction in Ethiopia is evidence that large carnivores can contribute to human health and economy. To retain these benefits and maintain tolerance of hyenas, we recommend: introducing education programs to promote safe outdoor behaviour around hyenas, training watchdogs to alert residents of hyena presence, constructing bomas to protect livestock from hyena attacks, and preserving the hyenas' access to carcass waste to reduce their dependency on livestock predation. With humans and carnivores coming more frequently into contact, understanding and communicating how these species can benefit humanity will be critical to motivating human-carnivore coexistence worldwide.</p>
Model results for Economic Shock In a Climate Scenario
<p>Files include simulated surface temperature, aerosol optical depth and sea level pressure in the baseline experiment and the three sensitivity simulations, atmospheric carbon dioxide concentration under different RCP scenarios from 2000 to 2100 (from the prescribed CO2 concentration of different scenarios in CESM1.2), altered aerosols and aerosol-precursors emission inventory and altered carbon dioxide concentration (<a href="https://zenodo.org/api/files/69107766-aecf-45a9-a7dc-079b418dbe5a/ghg_rcp85_1765-2500_c100203_phase1.nc">ghg_rcp85_1765-2500_c100203_phase1.nc</a> and <a href="https://zenodo.org/api/files/69107766-aecf-45a9-a7dc-079b418dbe5a/ghg_rcp85_1765-2500_c100203_phase1.nc">ghg_rcp85_1765-2500_c100203_phase2.nc</a>, phase1 and phase2 mean that the data is for 2020-2021 and 2022-2050, respectively). </p>
Supplementary material 3 from: Evans T, Blackburn TM, Jeschke JM, Probert AF, Bacher S (2020) Application of the Socio-Economic Impact Classification for Alien Taxa (SEICAT) to a global assessment of alien bird impacts. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 123-142. https://doi.org/10.3897/neobiota.62.51150
Nine additional tables
Supplementary material 2 from: Evans T, Blackburn TM, Jeschke JM, Probert AF, Bacher S (2020) Application of the Socio-Economic Impact Classification for Alien Taxa (SEICAT) to a global assessment of alien bird impacts. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 123-142. https://doi.org/10.3897/neobiota.62.51150
Appendix B
Supplementary material 1 from: Evans T, Blackburn TM, Jeschke JM, Probert AF, Bacher S (2020) Application of the Socio-Economic Impact Classification for Alien Taxa (SEICAT) to a global assessment of alien bird impacts. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 123-142. https://doi.org/10.3897/neobiota.62.51150
Appendix A
Dataset for research article: Inluence of socio-economic, demographic and climate factors on the regional distribution of dengue in the United States and Mexico
<p>R project folder, Spatial dataset and R code for research article <em>Influence of socio-economic, demographic and climate factors on the regional distribution of dengue in the United States and Mexico: </em><a href="https://ij-healthgeographics.biomedcentral.com/">International Journal of Health Geographics</a></p>
Considering institutional type: a varieties of capitalism approach to the economic growth resource curse
<p>Defined by North (1994) as the "rules of the game", over the last few decades, many scholars have sought to understand whether quality institutions can alleviate the Resource Curse (the idea that natural resource abundance hinders rather than promotes economic growth). However, with this focus on quality, few papers have addressed the question of institutional type, and its Curse mitigating properties. This paper, via utilising the associated data, contributes towards filling this gap. Using the Varieties of Capitalism framework, we test whether certain institutional typologies possess the ability to mitigate the Resource Curse and perhaps even turn it into a blessing. Specifically, Rougier and Combarnous' cluster analysis, "The Diversity of Emerging Capitalisms in Developing Countries" (2017), whereby nations are assigned various institutional typologies is used to create our primary (dummy) independent variables of interest in this study. The remaining control variables essential for economic growth analysis are collected via the World Bank and Polity datasets.</p>
Supplementary material 1 from: Diagne C, Catford JA, Essl F, Nuñez MA, Courchamp F (2020) What are the economic costs of biological invasions? A complex topic requiring international and interdisciplinary expertise. NeoBiota 63: 25-37. https://doi.org/10.3897/neobiota.63.55260
List of participants and associated information
Data for economic and demographic determinants of premium reserve in the Western Balkans
<p>All data are expressed as a percentage, except for GDP per capita, net wages, total population, life expectancy, expected years of education, average years of schooling, life and non-life premium, total premium, bank deposits, financial assets and deposits of insurance companies, which are expressed in absolute terms.</p> <p><strong>Source of data: </strong></p> <ol> <li>Data on Life and Non-life premium, Total (gross) premium, Premium reserve data, Financial assets and Deposits of insurance companies are collected from the official reports of insurance supervision agencies: Insurance Supervision Agency in Montenegro (<a href="http://www.ano.me/en/">http://www.ano.me/en/</a>), Croatian Financial Services Supervisory Agency (<a href="https://www.hanfa.hr/en/">https://www.hanfa.hr/en/</a>), National Bank of Serbia (<a href="https://www.nbs.rs/internet/english/">https://www.nbs.rs/internet/english/</a>, Insurance Supervision Agency of North Macedonia (<a href="http://aso.mk/en/?lang=en">http://aso.mk/en/?lang=en</a>) and Financial Supervisory Authority in Albania (<a href="https://amf.gov.al/">https://amf.gov.al/</a>).</li> <li>The economic indicators for the observed Western Balkan countries (GDP per capita, unemployment rate, inflation rate, net earnings and average effective deposit interest rate) are taken from the website Eurostat (<a href="https://ec.europa.eu/eurostat">https://ec.europa.eu/eurostat</a>) and Statista (<a href="https://www.statista.com/">https://www.statista.com/</a>) </li> <li>All demographic indicators, except for the expected and average years of schooling and education index, were collected from the Eurostat and UNDP database (<a href="https://ec.europa.eu/eurostat/data/database">https://ec.europa.eu/eurostat/data/database</a>; <a href="http://hdr.undp.org/en/countries/profiles/">http://hdr.undp.org/en/countries/profiles/</a> ).</li> <li>Data on expected and average school years were taken from the UNESCO Institute for Statistics (<a href="http://uis.unesco.org">http://uis.unesco.org</a>) , while the education index was obtained as a result of a calculation based on a formula published on the UNDP website (<a href="http://hdr.undp.org/en/content/education-index">http://hdr.undp.org/en/content/education-index</a>).</li> <li>Data on bond yield were collected from the website of European Commission (<a href="https://ec.europa.eu/">https://ec.europa.eu/</a>), i.e. from EC reports - EU Candidate Countries’ & Potential Candidates’ Economic Quarterly (CCEQ), except two data for Serbia (2006 and 2007) which were estimated by Makima extrapolation.</li> <li>Bank deposits data are taken from the official reports of banks' regulatory institutions: Central bank of Montenegro (<a href="https://www.cbcg.me/en">https://www.cbcg.me/en</a>), National bank of Serbia (<a href="https://www.nbs.rs/en/indeks/">https://www.nbs.rs/en/indeks/</a>), Croatian National bank (<a href="https://www.hnb.hr/en/home">https://www.hnb.hr/en/home</a>), National bank of the Republic of North Macedonia (<a href="https://www.nbrm.mk/pocetna-en.nspx">https://www.nbrm.mk/pocetna-en.nspx</a>); Bank of Albania (<a href="https://www.bankofalbania.org/home/">https://www.bankofalbania.org/home/</a>)</li> </ol> <p><strong>Description of columns:</strong></p> <p><strong>f1-</strong>GDPper capita;<strong> f2- </strong>Unemployment (%); <strong>f3-</strong>Inflation rate (%); <strong>f4-</strong> Net Wages €; <strong>f5-</strong> Deposit rate (%); <strong>f6-</strong> Population; <strong>f7-</strong> Female (%); <strong>f8-</strong> Population <15 (%); <strong>f9-</strong> Population 15-64 (%); <strong>f10-</strong> Dep old (%); <strong>f11-</strong> Dep young (%); <strong>f12-</strong> Urban population (%); <strong>f13-</strong>Life exp. (years); <strong>f14-</strong> Preschool enroll rate (%); <strong>f15-</strong> Elem school enroll rate (%); <strong>f16</strong>-High school enroll rate (%); <strong>f17-</strong> University enroll rate (%); <strong>f18-</strong> Expected years of schooling; <strong>f19-</strong> Avg. years of schooling; <strong>f20</strong>- Education Index (%); <strong>f21-</strong> Fertility rate (number of children to a woman); <strong>f22-</strong> Birth rate (per 1000 inhabitants); <strong>f23-</strong> Health costs (% GDP); <strong>f24-</strong>premium reserve per GDP,<strong> </strong></p> <p> <strong>i1-</strong> life premium €; <strong>i2</strong>- non-life premium €; <strong>i3</strong>- total premium €; <strong>i4</strong>- bond yield (%); <strong>i5a- </strong>bank deposits ( national currency);<strong> i5b- </strong>bank deposits €;<strong> i6a-</strong>financial assets in insurance (national currency)<strong>; i6b- </strong>financial assets in insurance €;<strong> i7a- </strong>deposits of insurers (national currency<strong>); i7b –</strong>deposit of insurers €</p>
Figure 3 from: Kozuharova E, Benbassat N, Ionkova I (2020) The invasive alien species Amorpha fruticosa in Bulgaria and its potential as economically prospective source of valuable essential oil. Pharmacia 67(4): 357-362. https://doi.org/10.3897/pharmacia.67.e51334
Figure 3 The bottom of reservoir Ivailovgrad drained for less than three months, spackled with grass and seedlings of Amorpha fruticosa; The banks densely covered with a belt of adult, generative A. fruticosa shrubs.
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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)
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.