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Supplementary material 4 from: Grunewald K, Schweppe-Kraft B, Syrbe R-U, Meier S, Krüger T, Schorcht M, Walz U (2020) Hierarchical classification system of Germany's ecosystems as basis for an ecosystem accounting – methods and first results. One Ecosystem 5: e50648. https://doi.org/10.3897/oneeco.5.e50648
Tab. D: Detailed matrix of pre- and post-use of settlement and transportation areas in Germany in the period 2013-2018 in hectare per day (ha/d). (Data source: IOER)
Supplementary material 1 from: Grunewald K, Schweppe-Kraft B, Syrbe R-U, Meier S, Krüger T, Schorcht M, Walz U (2020) Hierarchical classification system of Germany's ecosystems as basis for an ecosystem accounting – methods and first results. One Ecosystem 5: e50648. https://doi.org/10.3897/oneeco.5.e50648
Proposal of a classification system for ecosystem types (ETs) in Germany, assignment to the European ecosystem types according to EUNIS and to the CLC types of the database LBM-DE
Supplementary material 2 from: Grunewald K, Schweppe-Kraft B, Syrbe R-U, Meier S, Krüger T, Schorcht M, Walz U (2020) Hierarchical classification system of Germany's ecosystems as basis for an ecosystem accounting – methods and first results. One Ecosystem 5: e50648. https://doi.org/10.3897/oneeco.5.e50648
Supplementation of ecosystem types (ETs) by more differentiated spatially and non-spatially explicit data (system of assignment of biotope and habitat types relevant for nature conservation to ETs
Supplementary material 1 from: Short G, Claassens L, Smith R, De Brauwer M, Hamilton H, Stat M, Harasti D (2020) Hippocampus nalu, a new species of pygmy seahorse from South Africa, and the first record of a pygmy seahorse from the Indian Ocean (Teleostei, Syngnathidae). ZooKeys 934: 141-156. https://doi.org/10.3897/zookeys.934.50924
Genetic distance analysis (uncorrected p distances) of COI sequence data from H. nalu, H. bargibanti, H. denise, H. japapigu, and H. pontohi
Supplementary material 2 from: Bernardes M, Le MD, Nguyen TQ, Pham CT, Pham AV, Nguyen TT, Rödder D, Bonkowski M, Ziegler T (2020) Integrative taxonomy reveals three new taxa within the Tylototriton asperrimus complex (Caudata, Salamandridae) from Vietnam. ZooKeys 935: 121-164. https://doi.org/10.3897/zookeys.935.37138
Time-calibrated tree of Tylototriton based on ND2 sequences. The values indicate the split time (in million years ago) calculated by BEAST 1.8.0.
Supplementary material 1 from: Bernardes M, Le MD, Nguyen TQ, Pham CT, Pham AV, Nguyen TT, Rödder D, Bonkowski M, Ziegler T (2020) Integrative taxonomy reveals three new taxa within the Tylototriton asperrimus complex (Caudata, Salamandridae) from Vietnam. ZooKeys 935: 121-164. https://doi.org/10.3897/zookeys.935.37138
Regression of each morphological character to its respective snout-vent length value for taxon 1 and taxon 2
Supplementary material 1 from: Grabowska J, Kvach Yu, Rewicz T, Pupins M, Kutsokon I, Dykyy I, Antal L, Zięba G, Rakauskas V, Trichkova T, Čeirāns A, Grabowski M (2020) First insights into the molecular population structure and origins of the invasive Chinese sleeper, Perccottus glenii, in Europe. NeoBiota 57: 87-107. https://doi.org/10.3897/neobiota.57.48958
Table S1. Table presents Chinese sleeper haplotypes frequency (belonging to three distinguished groups) found in studies sites.
Figure 5. Muscle mass reconstruction method for M in A Computational Analysis of Limb and Body Dimensions in Tyrannosaurus rex with Implications for Locomotion, Ontogeny, and Growth
Figure 5. Muscle mass reconstruction method for M. caudofemoralis longus (see Methods); Carnegie specimen depicted. Dorsal and right lateral views are shown on topı and in the bottom row are caudal views of the right femur and then caudal vertebrae (8th and 17th). Red shaded volumes are the M. caudofemoralis longus reconstruction. Note a small space for M. caudofemoralis brevis (not reconstructed) is left around the ilium/sacrum and lateral to the CFL insertion. doi:10.1371/journal.pone.0026037.g005
FIGURES 33–41 in New or rare Madagascar tiger beetles-19. Description of Pogonostoma (Pogonostoma) natsuae sp. nov. and elaborated redescription of P. (M.) meridionale Fleutiaux (Coleoptera: Cicindelidae)
FIGURES 33–41. Pogonostoma (P.) meridionale Fleutiaux. 33— habitus, ♂, "Fort Dauphin" = Tolagnaro, LT (MNHN); 34—galea and lacinia, ♂, Behara, (CCJM); 35—head, ♂, Tolagnaro (CCJM); 36–37—mandibles: 36—♂, Ampasimpolaka (MNHN); 37—♀, Bekily (CCJM ex APCA); 38–41—labrum: 38—♂, LT; 39—♂, Tolagnaro (CCJM); 40—♀, "Fort Dau- phin" (MNHN); 41—♀, Bekily (CCJM). Bars = 1 mm.
FIGURES 19–32 in New or rare Madagascar tiger beetles-19. Description of Pogonostoma (Pogonostoma) natsuae sp. nov. and elaborated redescription of P. (M.) meridionale Fleutiaux (Coleoptera: Cicindelidae)
FIGURES 19–32. two species of Pogonostoma, male aedeagus or its apex. 19–26— Pogonostoma (P.) natsuae sp. nov. from type locality: 19–21—HT (OSAKA); 22–24—PT (CCJM); 25–26—PT (ZUAC) (19, 22, 25—lateral view; 20, 23, 26— ventral view; 21, 24—dorsal view). 27–32—Pogonostoma (P.) meridionale Fleutiaux: 27—"Fort Dauphin", LT (MNHN); 28— Bekily (CCJM ex APCA); 29—ditto, ventral view; 30—"Madagascar" (MFNB); 31—ditto, dorsal view; 32— Behara (CCJM ex APCA), ventral view. Bars = 1 mm.
Supplementary material 7 from: Wiemers M, Chazot N, Wheat CW, Schweiger O, Wahlberg N (2020) A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938: 97-124. https://doi.org/10.3897/zookeys.938.50878
Figure S5. Time-calibrated tree of European butterflies Section IV: Nymphalidae Part II: Subfamilies Libytheinae, Danainae & Satyrinae
Supplementary material 4 from: Wiemers M, Chazot N, Wheat CW, Schweiger O, Wahlberg N (2020) A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938: 97-124. https://doi.org/10.3897/zookeys.938.50878
Figure S2. Time-calibrated tree of European butterflies Section I: Papilionidae, Hesperiidae & Pieridae
Supplementary material 6 from: Wiemers M, Chazot N, Wheat CW, Schweiger O, Wahlberg N (2020) A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938: 97-124. https://doi.org/10.3897/zookeys.938.50878
Figure S4. Time-calibrated tree of European butterflies Section III: Nymphalidae Part I: Subfamilies Limenitidinae, Heliconiinae, Apaturinae & Nymphalinae
Supplementary material 1 from: Wiemers M, Chazot N, Wheat CW, Schweiger O, Wahlberg N (2020) A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938: 97-124. https://doi.org/10.3897/zookeys.938.50878
Table listing of European butterfly species with higher taxonomy, voucher codes and accession numbers for the sequences used to build the phylogeny.
Supplementary material 3 from: Petersen M, Pramann B, Toepfer R, Neumann J, Enke H, Hoffmann J, Mauer R (2020) Research Data Management - Current status and future challenges for German non-university research institutions. Research Ideas and Outcomes 6: e55141. https://doi.org/10.3897/rio.6.e55141
Praxisbericht: Entwicklung eines Maßnahmenkatalogs zur Verbesserung des Forschungsdatenmanagements am Herder-Institut für historische Ostmitteleuropaforschung
Supplementary material 3 from: Bieberich J, Feldhaar H, Lauerer M (2020) Micro-habitat and season dependent impact of the invasive Impatiens glandulifera on native vegetation. NeoBiota 57: 109-131. https://doi.org/10.3897/neobiota.57.51331
Figure S1. Initial model of the piecewise structural equation modeling (SEM) for summer (A) and spring (B)
Supplementary material 4 from: Bieberich J, Feldhaar H, Lauerer M (2020) Micro-habitat and season dependent impact of the invasive Impatiens glandulifera on native vegetation. NeoBiota 57: 109-131. https://doi.org/10.3897/neobiota.57.51331
Table S1. Result of the automated model selection approach identifying environmental variables that affected the cover of Impatiens glandulifera in summer 2016 and spring 2017
Supplementary material 7 from: Bieberich J, Feldhaar H, Lauerer M (2020) Micro-habitat and season dependent impact of the invasive Impatiens glandulifera on native vegetation. NeoBiota 57: 109-131. https://doi.org/10.3897/neobiota.57.51331
Figure S3. Micro-habitat specific impact of I. glandulifera on the resident plant species composition
Wind velocity vertical profile in a 50 m wind mast at Sisal, Yucatán, Mexico
<p>A meteorological mast, instrumented with sonic anemometers was implemented during the years 2010-2014, in order to study high frequency wind data at five different heights above the ground. The mast is 50 m height, located about 100 m from the shoreline at the Sisal campus of UNAM. An automated acquisition system recorded raw data in a database (server) directly through a RF link.</p> <p>For more information visit: http://ocse.mx/en/experimento/torre-sisal</p> <p> </p>
Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm
<p>This package supplements the following paper entitled “Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm” published with Science China Earth Sciences.</p>
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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.