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zenodo28/100

Supplementary material 1 from: Andrade TO, Ramos KS, López-Uribe MM, Branstetter MG, Brandão CRF (2022) Integrative approach resolves the taxonomy of Eulaema cingulata (Hymenoptera, Apidae), an important pollinator in the Neotropics. Journal of Hymenoptera Research 94: 247-269. https://doi.org/10.3897/jhr.94.91001

Integrative taxonomy of Eulaema cingulata

opencc-zeroDec 2022View details →
zenodo28/100

Supplementary material 1 from: Žikić V, Mitrović M, Stanković SS, Fernández-Triana JL, Lazarević M, van Achterberg K, Marczak D, Milošević MI, Shaw MR (2024) An integrative taxonomic study of north temperate Cotesia Cameron (Hymenoptera, Braconidae, Microgastrinae) that form silken cocoon balls, with the description of a new species. Journal of Hymenoptera Research 97: 255-276. https://doi.org/10.3897/jhr.97.116378

Supplementary information

opencc-zeroApr 2024View details →
zenodo28/100

Figure 6 from: Žikić V, Mitrović M, Stanković SS, Fernández-Triana JL, Lazarević M, van Achterberg K, Marczak D, Milošević MI, Shaw MR (2024) An integrative taxonomic study of north temperate Cotesia Cameron (Hymenoptera, Braconidae, Microgastrinae) that form silken cocoon balls, with the description of a new species. Journal of Hymenoptera Research 97: 255-276. https://doi.org/10.3897/jhr.97.116378

Figure 6 Cotesia trivaliae sp. nov., male (A–C) A habitus B antenna C aedeagus ventral view; cocoon masses (D–F) DC. trivaliae sp. nov. EC. tibialisFC. ofella. Scale bars: 500 µm (A, B); 100 µm (C).

opencc-by-4.0Apr 2024View details →
zenodo28/100

Figure 5 from: Žikić V, Mitrović M, Stanković SS, Fernández-Triana JL, Lazarević M, van Achterberg K, Marczak D, Milošević MI, Shaw MR (2024) An integrative taxonomic study of north temperate Cotesia Cameron (Hymenoptera, Braconidae, Microgastrinae) that form silken cocoon balls, with the description of a new species. Journal of Hymenoptera Research 97: 255-276. https://doi.org/10.3897/jhr.97.116378

Figure 5 Cotesia trivaliae sp. nov. female A habitus B head frontal view C mesosoma and T1 lateral view D head dorsal view E fore wing F hind wing G mesoscutum dorsal view H ovipositor lateral view I metasoma lateral view J metasoma dorsal view (T1-T3) K propodeum dorsal view L 5th tarsomere of front leg, arrow points spine M hind leg outer face N antenna. Scale bars: 500 µm (A–K, M, N); 100 µm (L).

opencc-by-4.0Apr 2024View details →
zenodo28/100

Figure 4 from: Žikić V, Mitrović M, Stanković SS, Fernández-Triana JL, Lazarević M, van Achterberg K, Marczak D, Milošević MI, Shaw MR (2024) An integrative taxonomic study of north temperate Cotesia Cameron (Hymenoptera, Braconidae, Microgastrinae) that form silken cocoon balls, with the description of a new species. Journal of Hymenoptera Research 97: 255-276. https://doi.org/10.3897/jhr.97.116378

Figure 4 Median-joining network designed for 56 CO1 haplotypes of different Cotesia segregates. Black dots are median vectors representing the missing unsampled intermediary haplotype(s). Mutational steps are marked with short black lines. Haplotypes H1, H2 (yellow circles) = 'ruficrus'; H3, H4 (light green circles) = 'vanessae'; H5 (grey circle) = 'cf. tibialis white cocoons'; H6, H7 (orange circles) = 'trivaliae sp. nov.'; H8–H12 (blue circles) = 'tibialis 1'; H13–H15 (light blue circles) = 'tibialis 2'; H16, H17 (purple circles) = 'ofella'; H18–H20 (pink circles) = 'xylina 1'; H21–H39 (turquois circles) = 'xylina 2'; H40–H43 (white circles) = 'xylina 3'; H44–H46 (green circles) = 'yakutatensis 1'; H47–H56 (red circles) = 'yakutatensis 2'.

opencc-by-4.0Apr 2024View details →
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Figure 3 from: Žikić V, Mitrović M, Stanković SS, Fernández-Triana JL, Lazarević M, van Achterberg K, Marczak D, Milošević MI, Shaw MR (2024) An integrative taxonomic study of north temperate Cotesia Cameron (Hymenoptera, Braconidae, Microgastrinae) that form silken cocoon balls, with the description of a new species. Journal of Hymenoptera Research 97: 255-276. https://doi.org/10.3897/jhr.97.116378

Figure 3 A Bayesian tree inferred from the CotesiaCO1 barcoding haplotypes. Bayesian posterior probabilities are shown above branches; scale bar indicates substitutions per site (0.02). Potential scale reduction factors (PSRF) were all approximately equal to one. Description of Cotesia haplotypes is given in Suppl. material 1: table S1. Outgroups: Aphidius sussi – Acc. No. MT432023; Glyptapanteles pallipes Acc. No. KJ459198.

opencc-by-4.0Apr 2024View details →
zenodo28/100

Figure 2 from: Žikić V, Mitrović M, Stanković SS, Fernández-Triana JL, Lazarević M, van Achterberg K, Marczak D, Milošević MI, Shaw MR (2024) An integrative taxonomic study of north temperate Cotesia Cameron (Hymenoptera, Braconidae, Microgastrinae) that form silken cocoon balls, with the description of a new species. Journal of Hymenoptera Research 97: 255-276. https://doi.org/10.3897/jhr.97.116378

Figure 2 A condensed Bayesian tree inferred from the CO1 barcoding fragments of Cotesia specimens. Bayesian posterior probabilities are shown above branches; scale bar indicates substitutions per site (0.02). Potential scale reduction factors (PSRF) were all approximately equal to one. Description of CotesiaCO1 barcode sequences included in the analysis is given in Suppl. material 1: table S1. Outgroups: Aphidius sussi – Acc. No. MT432023; Glyptapanteles pallipes Acc. No. KJ459198.

opencc-by-4.0Apr 2024View details →
zenodo28/100

Figure 1 from: Žikić V, Mitrović M, Stanković SS, Fernández-Triana JL, Lazarević M, van Achterberg K, Marczak D, Milošević MI, Shaw MR (2024) An integrative taxonomic study of north temperate Cotesia Cameron (Hymenoptera, Braconidae, Microgastrinae) that form silken cocoon balls, with the description of a new species. Journal of Hymenoptera Research 97: 255-276. https://doi.org/10.3897/jhr.97.116378

Figure 1 Aggregated ball-like cocoon A cooperative work of all parasitoid larvae in spinning the cocoon mass (C. vanessae ex Aglais urticae) B spun cocoon mass (C. tibialis ex Mythimna conigera).

opencc-by-4.0Apr 2024View details →
zenodo28/100

Figure 1 from: Neumann M, Ehnert F (2024) Knowledge re-integration in real-world laboratories to transform cities and communities: report on workshop designs. Research Ideas and Outcomes 10: e124018. https://doi.org/10.3897/rio.10.e124018

Figure 1 Zooming into phase C: the process of knowledge re-integration into societal practice in a TDR process.

opencc-by-4.0Apr 2024View details →
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Supplementary material 1 from: Berg I, Prieß-Buchheit J (2021) Dataset: Feedback on the Path2Integrity learning cards for research integrity (2020). Research Ideas and Outcomes 7: e78118. https://doi.org/10.3897/rio.7.e78118

Dataset

opencc-zeroNov 2021View details →
zenodo28/100

Figure 3 from: Datry T, Allen D, Argelich R, Barquin J, Bonada N, Boulton A, Branger F, Cai Y, Cañedo-Argüelles M, Cid N, Csabai Z, Dallimer M, de Araújo JC, Declerck S, Dekker T, Döll P, Encalada A, Forcellini M, Foulquier A, Heino J, Jabot F, Keszler P, Kopperoinen L, Kralisch S, Künne A, Lamouroux N, Lauvernet C, Lehtoranta V, Loskotová B, Marcé R, Martin Ortega J, Matauschek C, Miliša M, Mogyorósi S, Moya N, Müller Schmied H, Munné A, Munoz F, Mykrä H, Pal I, Paloniemi R, Pařil P, Pengal P, Pernecker B, Polášek M, Rezende C, Sabater S, Sarremejane R, Schmidt G, Senerpont Domis L, Singer G, Suárez E, Talluto M, Teurlincx S, Trautmann T, Truchy A, Tyllianakis E, Väisänen S, Varumo L, Vidal J-P, Vilmi A, Vinyoles D (2021) Securing Biodiversity, Functional Integrity, and Ecosystem Services in Drying River Networks (DRYvER). Research Ideas and Outcomes 7: e77750. https://doi.org/10.3897/rio.7.e77750

Figure 3 The DRYvER three-step workflow embedded within 7 Work Packages (WP) and the four main attributes of the DRYvER consortium (red ovals).

opencc-by-4.0Jan 2022View details →
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Figure 2 from: Datry T, Allen D, Argelich R, Barquin J, Bonada N, Boulton A, Branger F, Cai Y, Cañedo-Argüelles M, Cid N, Csabai Z, Dallimer M, de Araújo JC, Declerck S, Dekker T, Döll P, Encalada A, Forcellini M, Foulquier A, Heino J, Jabot F, Keszler P, Kopperoinen L, Kralisch S, Künne A, Lamouroux N, Lauvernet C, Lehtoranta V, Loskotová B, Marcé R, Martin Ortega J, Matauschek C, Miliša M, Mogyorósi S, Moya N, Müller Schmied H, Munné A, Munoz F, Mykrä H, Pal I, Paloniemi R, Pařil P, Pengal P, Pernecker B, Polášek M, Rezende C, Sabater S, Sarremejane R, Schmidt G, Senerpont Domis L, Singer G, Suárez E, Talluto M, Teurlincx S, Trautmann T, Truchy A, Tyllianakis E, Väisänen S, Varumo L, Vidal J-P, Vilmi A, Vinyoles D (2021) Securing Biodiversity, Functional Integrity, and Ecosystem Services in Drying River Networks (DRYvER). Research Ideas and Outcomes 7: e77750. https://doi.org/10.3897/rio.7.e77750

Figure 2 It shows how DRYvER will use this cyclic model as a structured loop embedded in a meta-system perspective to guide adaptive management of DRNs. DRYvER will translate climate projections into changes in flow intermittence patterns at multiple scales, including that of the strategically-selected focal DRNs. This physical setting will then be used to implement a dynamic meta-system perspective to understand the cascading changes in biodiversity, ecosystem functions and ecosystem services. This knowledge will be integrated to develop a multi-criteria decision framework combining scientific, management, socio-economic, legislative barriers and leverages to promote an adaptive management of DRNs.

opencc-by-4.0Jan 2022View details →
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Figure 4 from: Datry T, Allen D, Argelich R, Barquin J, Bonada N, Boulton A, Branger F, Cai Y, Cañedo-Argüelles M, Cid N, Csabai Z, Dallimer M, de Araújo JC, Declerck S, Dekker T, Döll P, Encalada A, Forcellini M, Foulquier A, Heino J, Jabot F, Keszler P, Kopperoinen L, Kralisch S, Künne A, Lamouroux N, Lauvernet C, Lehtoranta V, Loskotová B, Marcé R, Martin Ortega J, Matauschek C, Miliša M, Mogyorósi S, Moya N, Müller Schmied H, Munné A, Munoz F, Mykrä H, Pal I, Paloniemi R, Pařil P, Pengal P, Pernecker B, Polášek M, Rezende C, Sabater S, Sarremejane R, Schmidt G, Senerpont Domis L, Singer G, Suárez E, Talluto M, Teurlincx S, Trautmann T, Truchy A, Tyllianakis E, Väisänen S, Varumo L, Vidal J-P, Vilmi A, Vinyoles D (2021) Securing Biodiversity, Functional Integrity, and Ecosystem Services in Drying River Networks (DRYvER). Research Ideas and Outcomes 7: e77750. https://doi.org/10.3897/rio.7.e77750

Figure 4 DRYvER focal DRNs located in highly contrasted EU and CELAC biogeographic and climatic settings (red points), chosen to span the expected natural variability of drying processes and associated DRN responses.Mediterranean ecoregion: the Genal network, in Andalucía (Spain, Mediterranean climate), a dry region heavily impacted by climate change, where most rivers are already affected by drying (contact partner: UB);Alpine ecoregion: the Albarine network, in the Southern Jura (France, temperate climate), a region mildly impacted by climate change (the Albarine network is part of a national LTER project and monitored since 2006) (contact partner: INRAE);Continental ecoregion: the Velička network, in Morava (Czech Republic, continental climate), a region heavily impacted by climate change where many perennial rivers are shifting towards intermittent flow (contact partner: MU);Balkanic ecoregion: the Krka network, in the Dinaric Karst (Croatia, Mediterranean climate), a region where most rivers are already drying and heavily impacted by climate change (contact partner: UZ);Pannonian ecoregion: the Bükkösdi-víz network, in the Mecsek (Hungary, continental climate), a region moderately impacted by climate change, where DRNs are becoming common (contact partner: UP);Boreal ecoregion: the Vantaanjoki network, Helsinki-Uusimaa Region (Finland, boreal climate), region moderately impacted by climate change, where flow intermittence is currently rare (contact partner: SYKE);Pacific Lowlands: the Cube network, in the Andean-Choco region (Ecuador, tropical climate), a region where drying is very seasonal and increasing in duration and frequency (contact partner: USFQ);Central High Andes ecoregion: the Rio Chico network in the Sucre region (Bolivia, semi-arid climate), a dry area prone to desertification where political conflicts emerge due to water scarcity (contact partner: USFX);Caatinga ecoregion: the Jaguaribe network, in the Northeast Semiarid region (Brazil, semi-arid climate), the driest region in Brazil, already heavily impacted by climate change (contact partner: UFC).

opencc-by-4.0Jan 2022View details →
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Figure 1 from: Datry T, Allen D, Argelich R, Barquin J, Bonada N, Boulton A, Branger F, Cai Y, Cañedo-Argüelles M, Cid N, Csabai Z, Dallimer M, de Araújo JC, Declerck S, Dekker T, Döll P, Encalada A, Forcellini M, Foulquier A, Heino J, Jabot F, Keszler P, Kopperoinen L, Kralisch S, Künne A, Lamouroux N, Lauvernet C, Lehtoranta V, Loskotová B, Marcé R, Martin Ortega J, Matauschek C, Miliša M, Mogyorósi S, Moya N, Müller Schmied H, Munné A, Munoz F, Mykrä H, Pal I, Paloniemi R, Pařil P, Pengal P, Pernecker B, Polášek M, Rezende C, Sabater S, Sarremejane R, Schmidt G, Senerpont Domis L, Singer G, Suárez E, Talluto M, Teurlincx S, Trautmann T, Truchy A, Tyllianakis E, Väisänen S, Varumo L, Vidal J-P, Vilmi A, Vinyoles D (2021) Securing Biodiversity, Functional Integrity, and Ecosystem Services in Drying River Networks (DRYvER). Research Ideas and Outcomes 7: e77750. https://doi.org/10.3897/rio.7.e77750

Figure 1 Phases of flowing and drying alternate annually in the naturally intermittent Albarine River (France), a focal DRN of DRYvER. About half of EU's river channels now flow intermittently and this fraction is increasing. Photos: T. Datry.

opencc-by-4.0Jan 2022View details →
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Supplementary material 2 from: Penev L, Koureas D, Groom Q, Lanfear J, Agosti D, Casino A, Miller J, Arvanitidis C, Cochrane G, Hobern D, Banki O, Addink W, Kõljalg U, Copas K, Mergen P, Güntsch A, Benichou L, Benito Gonzalez Lopez J, Ruch P, Martin CS, Barov B, Demirova I, Hristova K (2022) Biodiversity Community Integrated Knowledge Library (BiCIKL). Research Ideas and Outcomes 8: e81136. https://doi.org/10.3897/rio.8.e81136

Letters of Support and Descriptions of the Collaborating Infrastructures

opencc-zeroFeb 2022View details →
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Supplementary material 1 from: Penev L, Koureas D, Groom Q, Lanfear J, Agosti D, Casino A, Miller J, Arvanitidis C, Cochrane G, Hobern D, Banki O, Addink W, Kõljalg U, Copas K, Mergen P, Güntsch A, Benichou L, Benito Gonzalez Lopez J, Ruch P, Martin CS, Barov B, Demirova I, Hristova K (2022) Biodiversity Community Integrated Knowledge Library (BiCIKL). Research Ideas and Outcomes 8: e81136. https://doi.org/10.3897/rio.8.e81136

BiCIKL Gantt chart

opencc-zeroFeb 2022View details →
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Supplementary material 3 from: Penev L, Koureas D, Groom Q, Lanfear J, Agosti D, Casino A, Miller J, Arvanitidis C, Cochrane G, Hobern D, Banki O, Addink W, Kõljalg U, Copas K, Mergen P, Güntsch A, Benichou L, Benito Gonzalez Lopez J, Ruch P, Martin CS, Barov B, Demirova I, Hristova K (2022) Biodiversity Community Integrated Knowledge Library (BiCIKL). Research Ideas and Outcomes 8: e81136. https://doi.org/10.3897/rio.8.e81136

Use Cases

opencc-zeroFeb 2022View details →
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Figure 8 from: Penev L, Koureas D, Groom Q, Lanfear J, Agosti D, Casino A, Miller J, Arvanitidis C, Cochrane G, Hobern D, Banki O, Addink W, Kõljalg U, Copas K, Mergen P, Güntsch A, Benichou L, Benito Gonzalez Lopez J, Ruch P, Martin CS, Barov B, Demirova I, Hristova K (2022) Biodiversity Community Integrated Knowledge Library (BiCIKL). Research Ideas and Outcomes 8: e81136. https://doi.org/10.3897/rio.8.e81136

Figure 8 The FAIR Data Place (FDP) built by JRA-05 will provide a one-stop point for searching bi- and multi-directionally linked FAIR data across domains to serve multiple research purposes.

opencc-by-4.0Feb 2022View details →
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Figure 3 from: Penev L, Koureas D, Groom Q, Lanfear J, Agosti D, Casino A, Miller J, Arvanitidis C, Cochrane G, Hobern D, Banki O, Addink W, Kõljalg U, Copas K, Mergen P, Güntsch A, Benichou L, Benito Gonzalez Lopez J, Ruch P, Martin CS, Barov B, Demirova I, Hristova K (2022) Biodiversity Community Integrated Knowledge Library (BiCIKL). Research Ideas and Outcomes 8: e81136. https://doi.org/10.3897/rio.8.e81136

Figure 3 The GBIO Framework identified 20 components as essential elements of biodiversity informatics and organised as four layers: Cul- ture, Data, Evidence and Understanding (from Hobern et al. 2019).

opencc-by-4.0Feb 2022View details →
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Figure 1 from: Penev L, Koureas D, Groom Q, Lanfear J, Agosti D, Casino A, Miller J, Arvanitidis C, Cochrane G, Hobern D, Banki O, Addink W, Kõljalg U, Copas K, Mergen P, Güntsch A, Benichou L, Benito Gonzalez Lopez J, Ruch P, Martin CS, Barov B, Demirova I, Hristova K (2022) Biodiversity Community Integrated Knowledge Library (BiCIKL). Research Ideas and Outcomes 8: e81136. https://doi.org/10.3897/rio.8.e81136

Figure 1 Access to data and services along the entire data and research life cycle in biodiversity science.

opencc-by-4.0Feb 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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