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1,610 results for “economic”

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zenodo32/100

FIGURES 12–14 in Potential economic pests of solanaceous crops: a new species of Solanum - feeding psyllid from Australia and first record from New Zealand of Acizzia solanicola (Hemiptera: Psyllidae)

FIGURES 12–14. Distribution of Solanacae-inhabiting Acizzia, their hosts and Solanum spp. in Australia: (12) A. alternata, A. credoensis and A. solanicola, (13) Solanum lasiophyllum, S. mauritianum and S. petrophilum, (14) Solanum spp.

opennotspecifiedDec 2013View details →
zenodo32/100

FIGURES 9–11 in Potential economic pests of solanaceous crops: a new species of Solanum - feeding psyllid from Australia and first record from New Zealand of Acizzia solanicola (Hemiptera: Psyllidae)

FIGURES 9–11. Acizzia credoensis sp. n. (9) male terminalia (lateral aspect); (10) paramere (inner face, lateral aspect); (11) female terminalia (lateral aspect). Scale = 0.2 mm.

opennotspecifiedDec 2013View details →
zenodo32/100

FIGURES 1–8 in Potential economic pests of solanaceous crops: a new species of Solanum - feeding psyllid from Australia and first record from New Zealand of Acizzia solanicola (Hemiptera: Psyllidae)

FIGURES 1–8. Acizzia credoensis sp. n. (1) habitus, male (dorsal aspect); (2) habitus, female (dorsal aspect); (3) habitus male (lateral aspect); (4) habitus female (lateral aspect); (5) fore wing, male; (6) fore wing, female; (7) head, female (dorsal aspect); (8) head, female (dorsal aspect). Scale = 0.5 mm.

opennotspecifiedDec 2013View details →
zenodo32/100

FIGURES 29–35 in Thitarodes namnai sp. nov. and T. caligophilus sp. nov. (Lepidoptera: Hepialidae), hosts of the economically important entomopathogenic fungus Ophiocordyceps sinensis in Bhutan

FIGURES 29–35. Thitarodes caligophilus, genitalia: 29–31. caudal, 32–35. latero-caudal view; 29. & 32. holotype, male, label 10027; 30. & 33. paratype, male, label 10025; 31. & 34. paratype, male, label 100026; 35. paratype, female, label 10028.

opennotspecifiedDec 2010View details →
zenodo32/100

FIGURES 1–5 in Thitarodes namnai sp. nov. and T. caligophilus sp. nov. (Lepidoptera: Hepialidae), hosts of the economically important entomopathogenic fungus Ophiocordyceps sinensis in Bhutan

FIGURES 1–5. Thitarodes namnai: 1. holotype, male, label 10005; 2. & 3. holotype genitalia in caudal (2) and laterocaudal (3) view; 4. paratype, female, label 10010; 5. female paratype genitalia.

opennotspecifiedDec 2010View details →
zenodo32/100

FIGURES 25–28 in Thitarodes namnai sp. nov. and T. caligophilus sp. nov. (Lepidoptera: Hepialidae), hosts of the economically important entomopathogenic fungus Ophiocordyceps sinensis in Bhutan

FIGURES 25–28. Thitarodes caligophilus: 25. holotype, male, label 10027; 26. paratype, female, label 10028; 27. paratype, male, label 10025; 28. paratype, male, label 100026.

opennotspecifiedDec 2010View details →
zenodo32/100

FIGURES 6–13 in Thitarodes namnai sp. nov. and T. caligophilus sp. nov. (Lepidoptera: Hepialidae), hosts of the economically important entomopathogenic fungus Ophiocordyceps sinensis in Bhutan

FIGURES 6–13. Thitarodes namnai: 6–10. paratypes males; 6. label 10001; 7. label 10006; 8. label 10007; 9. label 10008; 10. label 10009; 11–13. paratypes females; 11. label 10002; 12. label 10003; 13. label 10004.

opennotspecifiedDec 2010View details →
zenodo32/100

FIGURES 14–23 in Thitarodes namnai sp. nov. and T. caligophilus sp. nov. (Lepidoptera: Hepialidae), hosts of the economically important entomopathogenic fungus Ophiocordyceps sinensis in Bhutan

FIGURES 14–23. Thitarodes namnai, male genitalia, paratypes: 14–18. caudal view; 19–23. latero-caudal view; 14. & 19. label 10001; 15. & 20. label 10006; 16. & 21. label 10007; 17. & 22. label 10008; 18. & 23. label 10009.

opennotspecifiedDec 2010View details →
dryad32/100

Dataset with determinants or factors influencing graduate economics student preparation and success in an online environment

<p>The data relates to the paper that analyses the determinants or factors that best explain student research skills and success in the honours research report module during the COVID-19 pandemic in 2021. The data used have been gathered through an online survey created on the Qualtrics software package. The research questions were developed from demographic factors and subject knowledge including assignments to supervisor influence and other factors in terms of experience or belonging that played a role (see anonymous link at <a href="https://unisa.qualtrics.com/jfe/form/SV_86OZZOdyA5sBurY">https://unisa.qualtrics.com/jfe/form/SV_86OZZOdyA5sBurY</a>. An SMS was sent to all students of the 2021 module group to make them aware of the survey. They were under no obligation to complete it and all information was regarded as anonymous. We received 39 responses. The raw data from the survey was processed through the SPSS statistical, software package. The data file contains the demographics, frequencies, descriptives, and open questions processed.       </p> <p>The study reported in this paper employed the mixed methods approach comprising a quantitative and qualitative analysis. The quantitative and econometric analysis of the dependent variable, namely, the final marks for the research report and the independent variables that explain it. The results show significance in terms of the assignments and existing knowledge marks in terms of their bachelor's average mark. We extended the analysis to a qualitative and quantitative survey, which indicated that the mean statistical feedback was above average and therefore strongly agreed/agreed except for library use by the student. Students, therefore, need more guidance in terms of library use and the open questions showed a need for a research methods course in the future. Furthermore, supervision tends to be a significant determinant in all cases. It is also here where supervisors can use social media instruments such as WhatsApp and Facebook to inform students further. This study contributes as the first to investigate the preparation and research skills of students for master's and doctoral studies during the COVID-19 pandemic in an online environment.</p>

opencc-zeroOct 2023View details →
zenodo32/100

Input data and scenarios outputs of the Water Resources Research paper "Optimal economic spatial and temporal allocation of green and grey investment to address water security threats : Case Study - Velhas River Basin, Brazil"

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo32/100

Replication package for: "Heat and observed economic activity in the rich urban tropics"

<p>The data and code shared here pertain to an article that is forthcoming in the Economic Journal. Please consult the README file herein for details.</p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

THE CAUCASUS ECONOMIC & SOCIAL ANALYSIS JOURNAL OF SOUTHERN CAUCASUS

<h2>THE CAUCASUS ECONOMIC &amp; SOCIAL ANALYSIS JOURNAL OF SOUTHERN CAUCASUS</h2>

opencc-by-4.0Nov 2023View details →
zenodo32/100

Replication package for: "Economic Distress and Children's Mental Health: Evidence from the Brazilian High Risk Cohort Study for Mental Conditions"

<p>This package replicates the results of "Economic distress and children's mental health: evidence from the Brazilian High Risk Cohort Study for Mental Conditions" (and its respective online appendix) using mostly Stata. The package does not include the paper's main dataset, which is confidential.</p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

Economics

<p>Economics</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Fine-grained classification of journal articles by relying on multiple layers of information through similarity network fusion: the case of the Cambridge Journal of Economics

<p>prova</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Raw Economic Census data for full replication of Burlig and Preonas, "Out of the Darkness and Into the Light? Development Effects of Rural Electrification"

<p>These raw data are intended to be copy-pasted into the folder "data/Economic Census" in Burlig and Preonas's replication archive</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Factor Endowments, Economic Integration, Sanctions, and Offshores: Evidence from Inward FDI in Russia

<p>These files reproduce figures and empirical results found in&nbsp;Cieślik, A., Gurshev, O. Factor Endowments, Economic Integration, Sanctions, and Offshores: Evidence from Inward FDI in Russia.&nbsp;<em>Comparative Economic Studies</em>&nbsp;(2022). https://doi.org/10.1057/s41294-022-00202-6 . If you use these files for your own work, please cite the abovementioned article.&nbsp;</p> <p>It includes data, graphs, and econometric analysis performed in the paper. We thank Peter Egger, Ariel Reshef, Matheu Parenti, Anne-C&eacute;lia Disdier, Richard Frensch, Stefano Bolatto, Sarhad Hamza, one anonymous referee and participants of the graduate workshop hosted by Paris School of Economics for helpful comments on the earlier versions of the paper. Gurshev acknowledges financial assistance from University of Warsaw and host assistance of University of Bologna.</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

Economic, institutional and environmental drivers of SME development for 21 EU states

<p><span>SMEs are seen as important actors of national and regional development in many countries. This is a panel<span>&nbsp; </span>data set on economic, institutional and environmental drivers of SME development for 21 EU states (Austria, Republic of Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia and Spain) during 2011-2020 . </span></p>

opencc-by-4.0Mar 2024View details →
zenodo32/100

Replication Package for Political Language In Economics

<p>Replication Data for "Political Language in Economics" by Zubin Jelveh, Bruce Kogut, and Suresh Naidu</p>

opencc-by-4.0Mar 2024View details →
zenodo32/100

What has the WASHES community discussed about Software Economics in the last years?

<p>Dataset with primary studies from the systematic mapping study carried out. We conducted the search and selection processes through the following phases: 1) Initial Search; 2) Application of the Selection Criteria; and 3) Data Extraction.</p>

opencc-by-4.0Apr 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record