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Supplementary material 3 from: Armijos-Ojeda D, Székely D, Székely P, Cogălniceanu D, Cisneros-Heredia DF, Ordóñez-Delgado L, Escudero A, Espinosa CI (2021) Amphibians of the equatorial seasonally dry forests of Ecuador and Peru. ZooKeys 1063: 23-48. https://doi.org/10.3897/zookeys.1063.69580
Dataset including amphibian species occurence information, museum specimen numbers, source of data
Figure 5 from: Armijos-Ojeda D, Székely D, Székely P, Cogălniceanu D, Cisneros-Heredia DF, Ordóñez-Delgado L, Escudero A, Espinosa CI (2021) Amphibians of the equatorial seasonally dry forests of Ecuador and Peru. ZooKeys 1063: 23-48. https://doi.org/10.3897/zookeys.1063.69580
Figure 5 Distribution records for the Hylidae family in the Equatorial Seasonally Dry Forest (SDF). In blue, the first report of Trachycephalus quadrangulum in Loja province.
Figure 4 from: Armijos-Ojeda D, Székely D, Székely P, Cogălniceanu D, Cisneros-Heredia DF, Ordóñez-Delgado L, Escudero A, Espinosa CI (2021) Amphibians of the equatorial seasonally dry forests of Ecuador and Peru. ZooKeys 1063: 23-48. https://doi.org/10.3897/zookeys.1063.69580
Figure 4 Distribution records for the Leptodactylidae family in the Equatorial Seasonally Dry Forest (SDF). In blue, distribution range extensions: for Engystomops puyango, the northernmost locality is more than 70 km from the previously known distribution; for E. randi, the first record in Peru.
Figure 6 from: Armijos-Ojeda D, Székely D, Székely P, Cogălniceanu D, Cisneros-Heredia DF, Ordóñez-Delgado L, Escudero A, Espinosa CI (2021) Amphibians of the equatorial seasonally dry forests of Ecuador and Peru. ZooKeys 1063: 23-48. https://doi.org/10.3897/zookeys.1063.69580
Figure 6 Distribution records of Ranidae and Craugastoridae in the Equatorial Seasonally Dry Forest (SDF). Maps are given for Ranidae (Lithobates bwana) and Craugastoridae (Barycholos pulcher, Pristimantis achatinus, P. lymani, P. subsigillatus, and P. walkeri).
Figure 3 from: Armijos-Ojeda D, Székely D, Székely P, Cogălniceanu D, Cisneros-Heredia DF, Ordóñez-Delgado L, Escudero A, Espinosa CI (2021) Amphibians of the equatorial seasonally dry forests of Ecuador and Peru. ZooKeys 1063: 23-48. https://doi.org/10.3897/zookeys.1063.69580
Figure 3 Distribution records of Bufonidae, Centrolenidae, Ceratophryidae and Dendrobatidae in the Equatorial Seasonally Dry Forest (SDF). Maps are given for the families Bufonidae (Rhinella alata, R. horribilis), Centrolenidae (Hyalinobatrachium tatayoi), Ceratophryidae (Ceratophrys stolzmanni) and Dendrobatidae (Epipedobates anthonyi, E. machalilla, Hyloxalus elachyhistus, H. infraguttatus). For Ceratophrys stolzmanni, blue points represent new distributional records for the species, the two southernmost localities and the highest altitude, respectively.
Figure 1 from: Armijos-Ojeda D, Székely D, Székely P, Cogălniceanu D, Cisneros-Heredia DF, Ordóñez-Delgado L, Escudero A, Espinosa CI (2021) Amphibians of the equatorial seasonally dry forests of Ecuador and Peru. ZooKeys 1063: 23-48. https://doi.org/10.3897/zookeys.1063.69580
Figure 1 Distribution of amphibian occurrence records in the Equatorial Seasonally Dry Forest (SDF). Maps are provided depending on the data source: Field data, Literature, Museum, Database.
Figure 2 from: Armijos-Ojeda D, Székely D, Székely P, Cogălniceanu D, Cisneros-Heredia DF, Ordóñez-Delgado L, Escudero A, Espinosa CI (2021) Amphibians of the equatorial seasonally dry forests of Ecuador and Peru. ZooKeys 1063: 23-48. https://doi.org/10.3897/zookeys.1063.69580
Figure 2 Amphibian species of the Equatorial Seasonally Dry Forest ARhinella alata (photo by Silvia Aldás, https://bioweb.bio) BRhinella horribilisCHyalinobatrachium tatayoiDCeratophrys stolzmanniEEpipedobates anthonyiFEpipedobates machalillaGHyloxalus elachyhistusHHyloxalus infraguttatusIBoana pellucensJBoana rosenbergiKScinax quinquefasciatusLScinax sugillatus (photograph by Santiago R. Ron, https://bioweb.bio) MScinax tsachilaNSmilisca phaeotaOTrachycephalus jordaniPTrachycephalus quadrangulumQEngystomops guayacoREngystomops montubioSEngystomops pustulatusTEngystomops puyangoUEngystomops randiVLeptodactylus labrosusWLeptodactylus melanonotusXLeptodactylus ventrimaculatusYBarycholos pulcherZPristimantis achatinusAAPristimantis lymaniABPristimantis subsigillatusACPristimantis walkeri (photograph by Santiago R. Ron, https://bioweb.bio) ADLithobates bwana. Habitat seasonal change (Reserva Ecológica Arenillas) AE april (rainy season) AF december (dry season).
Impact of improved ocean initial condition on the seasonal prediction of Indian summer monsoon
<p><span><span><span><span><span><span><span><span><span><span><span><span>In this study, an effort has been made to show the impact of improved ocean initial condition in the coupled forecast system (CFSv2) on the seasonal prediction skill of Indian summer monsoon rainfall (ISMR). CFSv2 is used as an operational dynamical model for the seasonal prediction of ISMR. The new improved ocean initial condition is based on <span>Global Ocean Data Assimilation System</span> (GODAS) analysis and is produced by assimilating vertical profiles of observed temperature and salinity from all the sources (XBTs, buoys and Argo profiling floats) over the global ocean using 3Dvar assimilation scheme and MOM4p1 ocean model. This new analysis is improved compared to the NCEP GODAS which uses earlier generation MOM4p0d and assimilates observed temperature and synthetic salinity. Twin sets of identical model experiments differing in initial conditions (IC) with the former (later) using NCEP IC (new IC; NIC) are performed. The NIC experiment shows consistent enhancement of ENSO skill compared to NCEP IC. This advancement leads to the improvement of ISMR skill. We found that the significant improvement of surface and sub-surface temperature, thermocline depth, and heat content over the global ocean particularly in the Nino3 region in the NIC compared to NCEP IC contributed to the improved ISMR skills. This enhanced ISMR skill score might be the result of reduced model drift in the NIC even on 4 month lead and capturing the ISMR – ENSO teleconnection with great fidelity.</span></span></span></span></span></span></span></span></span></span></span></span></p>
Fig. 4 in Spatial patterns of zooplanktivore Chirostoma species (Atherinopsidae) during water-level fluctuation in the shallow tropical Lake Chapala, Mexico: seasonal and interannual analysis
Fig. 4. GAM results for May of species correlation influence on fish density. a: effect of Chirostoma jordani on C. consocium; b: effect of C. jordani on C. labarcae; c: effect of C. labarcae on C. consocium. Circles represent the residuals. Spline fit (solid line) is bound by 95% confidence intervals (dotted lines).
Fig. 2 in Seasonal changes in the gonadossomatic index, allometric condition factor and sex ratio of an auchenipterid catfish from eastern Amazonia
Fig. 2. Seasonal variation of the water level in the Caxiuanã National Forest. Data from the fluviometric station of Caiçara, Agência Nacional das Águas (ANA), from July 2008 to July 2009.
Fig. 3 in Seasonal changes in the gonadossomatic index, allometric condition factor and sex ratio of an auchenipterid catfish from eastern Amazonia
Fig. 3. Relative frequency (%) of gonadal maturation stages of male (a) and female (b) of Auchenipterichthys longimanus collected from July 2008 to July 2009 in the Caxiuanã National Forest. Four gonadal maturation stages were identified: (I) Imature, (II) Maturing, (III) Mature and (IV) Spent. N = number of specimens analyzed.
Fig. 6 in Seasonal changes in the gonadossomatic index, allometric condition factor and sex ratio of an auchenipterid catfish from eastern Amazonia
Fig. 6. Bimonthly variation in the raw data (a,c) and mean values (b, d) for the condition factor (K) in juvenile (a, b) and adult (c, d) female of the Auchenipterichthys longimanus collected from July 2008 to July 2009 in the Caxiuanã National Forest.
Dataser of Paper "A model to predict the kinetics of direct (endogenous) virus inactivation by sunlight at different latitudes and seasons, based on the equivalent monochromatic wavelength approach"
<p>- Data of the predicted maximum cumulated incident radiation for latitudes from 60°S to 60°N with steps of 5° as a function of the day of the year. These data have been predicted using the algorithm developed in this work which uses the value of the incident photon flux density of sunlight at solar noon.</p> <p>- Data of the maximum cumulated incident radiation for the 15<sup>th</sup> day of each month and for latitudes from 60°S to 60°N with steps of 5°. These data have been obtained by integrating the values of the spectral photon flux density of sunlight over the time.</p>
Primary data on skull and brain morphology for: Geographical patterns in seasonal changes of body mass, skull, and brain size of common shrews
<p class="Standard">Some small mammals exhibit Dehnel's Phenomenon, a drastic decrease in body mass, braincase and brain size from summer to winter, followed by regrowth in spring. This is accompanied by a reorganization of the brain and changes in other organs. The evolutionary link between these changes and seasonality remains unclear, although the intensity of change varies between locations as the phenomenon is thought to lead to energy savings during winter.</p> <p class="Standard">Here we explored geographic variation of the intensity of Dehnel's Phenomenon in <i>Sorex araneus.</i> We compiled literature on seasonal changes in braincase size, brain and body mass, supplemented by our own data from Poland, Germany, and the Czech Republic.</p> <p class="Standard">We analysed the effect of geographic and climate variables on the intensity of change and patterns of brain reorganization.</p> <p class="Standard">From summer to winter the braincase height decreased by 13%, followed by 10% regrowth in spring.</p> <p class="Standard">For body mass the changes were -21%/+82%, respectively. Changes increased towards northeast. Several climate variables were correlated with these transformations, confirming a link of the intensity of the changes with environmental conditions. This relationship differed for the decrease vs. regrowth, suggesting that they may have evolved under different selective pressures.</p> <p class="Standard">We found no geographic trends explaining variability in the brain mass changes although they were similar (-21%/+10%) to those of the braincase size. Underlying patterns of change in brain organisation in north-eastern Poland were almost identical to the pattern observed in southern Germany. This indicates that local habitat characteristics may play a more important role in determining brain structure than broad scale geographic conditions.</p> <p>We discuss the techniques and criteria used for studying this phenomenon, as well as its potential presence in other taxa and the importance of distinguishing it from other kinds of seasonal variation.</p>
Urbanization buffers seasonal change in composition of bird communities: a multi-continental meta-analysis
<p>Aim: Urbanization buffers the seasonality of climate conditions and food availability and, therefore, may cause a seasonal homogenization of animal communities. However, the global effect of urbanization on the seasonal dynamics of animal communities remains unexplored. Our aim was to study the multi-continental relationship between urbanization and the seasonal change in bird composition and explore the influence of climatic factors on the urban-induced reduction of seasonality of bird composition.<br> <br> Location: Multi-continental<br> <br> Methods: We performed a literature review and a meta-analysis. The risk ratio effect size (here referred to as urban seasonality index, USI) was used, considering the number of species seen either in the breeding (spring and/or summer) or the non-breeding (autumn and/or winter) season, and the number of species seen during both seasons between urban and less urbanized sites. Low USI values indicated a decrease in the seasonal change in bird composition in urban areas.<br> <br> Results: A total of 38 USIs were obtained from 34 cities of six continents. Multi-continentally, there are fewer differences in bird composition between seasons in urban than in less urbanized areas, indicating seasonal homogenization due to urbanization. The USI decreased in areas with the lowest maximum temperature and the highest latitude, suggesting the highest decrease in the seasonality of bird composition in urban areas located in regions near the poles and with high seasonal change in temperature. Moreover, studies in the Northern Hemisphere and those that compared suburban versus natural and urban versus rural habitats had a significant decrease of seasonality of bird community in urban areas. <br> <br> Main conclusions: Urbanization induces a seasonal homogenization of bird composition, and this impact seems more pronounced in temperate areas with broad annual temperature range, and located in the Northern Hemisphere. Results indicate that efforts to restore seasonal dynamics in habitats and resources should be made in urban areas of temperate regions.</p>
Seasonal elevational patterns and the underlying mechanisms of avian diversity and community structure on the eastern slope of Mt. Gongga
<p>This dataset contains bird survey data (Appedenix 2) and bird trait data (Appedenix 1) in the paper: "He et al. (2022) Seasonal elevational patterns and the underlying mechanisms of avian diversity and community structure on the eastern slope of Mt. Gongga. Diversity and Distributions". Main results of the paper are that TD, PD and FD showed similar hump-shaped elevational patterns in both seasons. In the breeding season, TD, PD and FD for small-ranged species, were highly correlated with climatic factors (mean daily temperature, seasonal temperature range) and vegetation factors (enhanced vegetation index), while large-ranged species were correlated with spatial factors (mid-domain effect). In the non-breeding season, TD, PD and FD for all species groupings were positively correlated with climate factors. For small-ranged species in both seasons, community structure was more overdispersed at low and high elevations, and more clustered at middle elevations. For large-ranged species, community structure differed between seasons, showing a general trend toward clustering as elevations increase in the breeding season and trends toward overdispersion and/or evenness as elevations increase in the non-breeding season.</p>
Figure 3 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522
Figure 3 Individual dispersion of leaf beetle species whose association for microclimatic variables was significant in the dry season AAcallepitrix sp. 7 BAlagoasa trifasciataCBrachycoryna pumilaDCentralaphthona diversaEChaetocnema sp. 1 FEpitrix sp. 1 GSyphrea sp. 1. At each species panel: tiny, black dots represent the sampling units; gray circles represent the presence of the species in the sample, and the size of the circle is proportional to its abundance; straight lines represent vectors and indicate the dispersion of the species from the average position (centroid, pointed to by the red arrow) towards each of the sampling units where it was recorded; and ellipses represent the concentration of 95% of the specimens of the species. H canonical correlation values (loadings) between microclimatic variables and the abundance of Chrysomelidae. Abbreviations: MW: Maximum wind speed, AW: average wind speed, Tem: temperature, RH: relative humidity, HI: heat index, DP: dew point, Ev: evapotranspiration.
Figure 4 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522
Figure 4 Environmental ranges of leaf beetles during the rainy season. Abbreviations: Labi sutu (Labidomera suturella), Centra dive (Centralaphthona diversa), Mono bume (Monomacra bumeliae), Walte sp. 1 (Walterianella sp. 1), Alag trif (Alagoasa trifasciata), Zeno inco (Zenocolaspis inconstans).
Figure 2 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522
Figure 2 Individual dispersion of leaf beetle species whose association for microclimatic variables was significant in the rainy season AAlagoasa trifasciataBCentralaphthona diversaCLabidomera suturellaDMonomacra bumeliaeEWalterianella sp. 1 FZenocolaspis inconstans. At each species panel: the gray circles represent the presence of the species in the sample, and the size of the circle is proportional to its abundance; straight lines represent vectors and indicate the dispersion of the species from the average position (centroid) towards each of the evaluation units where it was recorded; and ellipses represent the concentration of 95% of the specimens of the species. G canonical correlation values (loadings) between microclimatic variables and the abundance of Chrysomelidae. Abbreviations: MW: Maximum wind speed, AW: average wind speed, Tem: temperature, RH: relative humidity, HI: heat index, DP: dew point, Ev: evapotranspiration.
Figure 1 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522
Figure 1 Location of the study area. A Ejido Santa Ana (red point) in Tamaulipas State, Mexico BNPA Altas Cumbres (red polygon) within Victoria municipality in Tamaulipas C Distribution of the sampling plots (blue squares) in the semideciduous tropical forest.
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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.