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Figure 1 A–C in Host Plant Records for Fruit Flies (Diptera: Tephritidae: Dacini) in the Pacific Islands: 2. Infestation Statistics on Economic Hosts
Figure 1 A–C. Mean number of flies emerged per kg fruit and percent samples infested for the most infested hosts for oriental fruit fly (Bactrocera dorsalis) (A), Queensland fruit fly (B. tryoni) (B), and melon fly (B. cucurbitae) (C).
Women and Economic Impact
<p>This dataset comprises of key metrics such as education levels, labor force participation, political representation, access to healthcare, economic opportunities, and gender-based violence.</p>
Leaf economic strategies drive global variation in phosphorus stimulation of terrestrial plant production
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Economics
<p>Economics</p>
ENECO PROCEEDİNGS OF ENERGY ECONOMİC RESEARCH CENTER
<h1>ENECO PROCEEDİNGS OF ENERGY ECONOMİC RESEARCH CENTER</h1>
EMPLOYMENT IS THE MAIN FACTOR OF THE COUNTRY'S SOCIO-ECONOMIC DEVELOPMENT
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INDICATORS OF THE FIELD OF SERVICES BY THE MAIN TYPES AND ITS ECONOMIC AND STATISTICAL ANALYSIS
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ECONOMIC ADVANTAGES OF RABBIT FARMING
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Supplementary material 3 from: Haubrock PJ, Cuthbert RN, Yeo DCJ, Banerjee AK, Liu C, Diagne C, Courchamp F (2021) Biological invasions in Singapore and Southeast Asia: data gaps fail to mask potentially massive economic costs. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 131-152. https://doi.org/10.3897/neobiota.67.64560
Annual average costs of biological invasions in Singapore. Note the y-axis is on a log10 scale
Supplementary material 2 from: Haubrock PJ, Cuthbert RN, Yeo DCJ, Banerjee AK, Liu C, Diagne C, Courchamp F (2021) Biological invasions in Singapore and Southeast Asia: data gaps fail to mask potentially massive economic costs. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 131-152. https://doi.org/10.3897/neobiota.67.64560
Database subset
Supplementary material 1 from: Rico-Sánchez AE, Haubrock PJ, Cuthbert RN, Angulo E, Ballesteros-Mejia L, López-López E, Duboscq-Carra VG, Nuñez MA, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in Mexico. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 459-483. https://doi.org/10.3897/neobiota.67.63846
Database of the economic costs of biological invasions in Mexico
Supplementary material 2 from: Rico-Sánchez AE, Haubrock PJ, Cuthbert RN, Angulo E, Ballesteros-Mejia L, López-López E, Duboscq-Carra VG, Nuñez MA, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in Mexico. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 459-483. https://doi.org/10.3897/neobiota.67.63846
Economic sectors impacted by IAS in Mexico
Supplementary material 5 from: Cuthbert RN, Bartlett AC, Turbelin AJ, Haubrock PJ, Diagne C, Pattison Z, Courchamp F, Catford JA (2021) Economic costs of biological invasions in the United Kingdom. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 299-328. https://doi.org/10.3897/neobiota.67.59743
Figure S1
Supplementary material 3 from: Haubrock PJ, Cuthbert RN, Sundermann A, Diagne C, Golivets M, Courchamp F (2021) Economic costs of invasive species in Germany. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 225-246. https://doi.org/10.3897/neobiota.67.59502
Description of the sectors considered in the InvaCost database
Supplementary material 1 from: Heringer G, Angulo E, Ballesteros-Mejia L, Capinha C, Courchamp F, Diagne C, Duboscq-Carra VG, Nuñez MA, Zenni RD (2021) The economic costs of biological invasions in Central and South America: a first regional assessment. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 401-426. https://doi.org/10.3897/neobiota.67.59193
Tables S1–S4
Supplementary material 3 from: Adelino JRP, Heringer G, Diagne C, Courchamp F, Faria LDB, Zenni RD (2021) The economic costs of biological invasions in Brazil: a first assessment. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 349-374. https://doi.org/10.3897/neobiota.67.59185
Table S3. Observed mixed costs for Brazil from the invacost database
Supplementary material 4 from: Adelino JRP, Heringer G, Diagne C, Courchamp F, Faria LDB, Zenni RD (2021) The economic costs of biological invasions in Brazil: a first assessment. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 349-374. https://doi.org/10.3897/neobiota.67.59185
Table S4
Supplementary material 3 from: Angulo E, Ballesteros-Mejia L, Novoa A, Duboscq-Carra VG, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in Spain. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 267-297. https://doi.org/10.3897/neobiota.67.59181
Lists of species used in Figure 5
Supplementary material 4 from: Angulo E, Ballesteros-Mejia L, Novoa A, Duboscq-Carra VG, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in Spain. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 267-297. https://doi.org/10.3897/neobiota.67.59181
Figure S2
Supplementary material 5 from: Adelino JRP, Heringer G, Diagne C, Courchamp F, Faria LDB, Zenni RD (2021) The economic costs of biological invasions in Brazil: a first assessment. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 349-374. https://doi.org/10.3897/neobiota.67.59185
Table S5
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.