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18,658 results for “impacts”
Fig. 4 in Assemblages of carabid beetles (Coleoptera: Carabidae) as zoo-indicator of water tourism impact on forest - lake ecotones
Fig. 4. Cluster analysis of the study sites (euclidic distances, Ward˙s method) based on carabid beetle assemblages
Fig. 3 in Assemblages of carabid beetles (Coleoptera: Carabidae) as zoo-indicator of water tourism impact on forest - lake ecotones
Fig. 3. Model of state of carabid beetle assemblages in pine woodlands (B) and alder woodlands (A) in control area (0), medium pressure (1) and high pressure (2).
Fig.2 in Assemblages of carabid beetles (Coleoptera: Carabidae) as zoo-indicator of water tourism impact on forest - lake ecotones
Fig.2. Whittaker diagrams of species-abundance of carabid species in alder woodland (left side) and pine woodlands (right side).
Figure 1 in Impact of warm weather events on prolongation of the life cycle of Stomaphis Walker (Hemiptera, Aphididae, Lachninae)
Figure 1. Apterous female of Stomaphis sp. collected on 05.01.2014 (a); oviparous female of S. graffii collected on 01.03.2014 (b) (arrow indicates large subgenital plate, typical of oviparous females).
Figure 3 in Impact of dike age on biodiversity and functional composition of soil macrofaunal communities in poplar forests in a reclaimed coastal area
Figure 3. PCoA ordinal configuration of soil macrofaunal communities from different habitats by Euclidean distance similarity index. In the code of the samples, the prefix means the code of the habitat, and the suffix means the number of the sample.
Figure 2 in Impact of dike age on biodiversity and functional composition of soil macrofaunal communities in poplar forests in a reclaimed coastal area
Figure 2. One-way ANOVA of taxonomic richness and abundance (A) and Margalef 's richness index R and Shannon– Weaver diversity index H' (B) across different habitats (mean ± SE). Means with different scripts are significantly different by Dunnett's T3 test (A) and LSD test (B), α = 0.05.
Figure 4 in Ensemble distribution modeling of the Mesopotamian spiny-tailed lizard, Saara loricata (Blanford, 1874), in Iran: an insight into the impact of climate change
Figure 4. Overlay of Iranian Conservation Network with the habitat suitability map of the Mesopotamian spiny-tailed lizard.
Figure 3 in Ensemble distribution modeling of the Mesopotamian spiny-tailed lizard, Saara loricata (Blanford, 1874), in Iran: an insight into the impact of climate change
Figure 3. Model of habitat suitability for the species based on the present climatic data (A) and 2.6 (B) and 8.5 (C) scenarios of the CCSM for the future.
Figure 1 in Ensemble distribution modeling of the Mesopotamian spiny-tailed lizard, Saara loricata (Blanford, 1874), in Iran: an insight into the impact of climate change
Figure 1. The presence records (black dots) used for the development of a maximum entropy model for predicting the habitat suitability of the Mesopotamian spiny-tailed lizard.
Fig. 3 in Host-parasite interaction and impact of mite infection on mosquito population
Fig. 3. Attachment preferences of mites for mosquito body parts. Bars show ± SE, comparisons are made at 95% confidence using ANOVA. Bars without SE = no variations.
Fig. 4 in Host-parasite interaction and impact of mite infection on mosquito population
Fig. 4. Attachment preference of mites for mosquito sexes. Bars show ± SE, comparisons are made at 95% confidence using ANOVA. Bars without SE = no variations.
Fig. 2 in Host-parasite interaction and impact of mite infection on mosquito population
Fig. 2. Mosquitoes parasitized by mites. Tukey's multiple comparison tests were applied at 95% confidence to compare differences. Bars (±SE) with different letters show significant differences at p ≤ 0.05. Bars without SE = no variations.
Fig. 1 in Host-parasite interaction and impact of mite infection on mosquito population
Fig. 1. (A) Culex pipiens fatigans infected by Arrenurus danbyensis; (B and C) Coquillettidia sp. infected with Leptus sp.; (D) Aedes sp., infected with Arrenurus danbyensis.
Figure 2 in Impacts of environmental factors on zooplankton taxonomic diversity in coastal lagoons in Turkey
Figure 2. Venn diagram showing identified zooplankton taxa distribution and number of taxa (in parentheses) in the lagoons.
Data and Code for "A lasting impact of serotonergic psychedelics on visual processing and behavior"
<p>Processed data and analysis code for "<span><span>A lasting impact of serotonergic psychedelics on visual processing and behavior". <span>https://doi.org/10.1101/2024.07.03.601959 </span></span></span></p>
Figure 4 in Impact of overwintering cormorants (Phalacrocorax carbo) on springtail (Hexapoda: Collembola) communities of the Azov and Black Sea coastal forests
Figure 4. Relative total abundance, genus richness, and abundance of the different functional groups of springtails (abundance in impact sites/abundance in controls ± SE) in forests with active overwintering cormorant colonies (Black Sea) and abandoned forests (Azov Sea). Totabu: Total abundance, Genrich: Genus richness, Epied: Epiedaphic, Hemied: Hemiedaphic, Eued: Euedaphic, EMC: Euedaphic microorganism consumers, HMC: Hemiedaphic microorganism consumers, EPMC: Epiedaphic plant and microorganism consumers, EAMC: Epiedaphic animal and microorganism consumers. *: Statistically significant differences between the control and impact sites according to the Tukey HSD test.
Figure 2 in Impact of overwintering cormorants (Phalacrocorax carbo) on springtail (Hexapoda: Collembola) communities of the Azov and Black Sea coastal forests
Figure 2. Abundance of different functional groups of springtails (ind. m–2 ± SE, n = 2) at the control and impact sites of forests abandoned by cormorants (Azov Sea). Epied: Epiedaphic, Hemied: Hemiedaphic, Eued: Euedaphic, EMC: Euedaphic microorganism consumers, HMC: Hemiedaphic microorganism consumers, EPMC: Epiedaphic plant and microorganism consumers, EAMC: Epiedaphic animal and microorganism consumers. *: Statistically significant differences between the control and impact sites according to the Tukey HSD test.
Figure 3 in Impact of overwintering cormorants (Phalacrocorax carbo) on springtail (Hexapoda: Collembola) communities of the Azov and Black Sea coastal forests
Figure 3. PCA of the relationship between springtail genera abundance (shown as gray lines and diamond-shaped symbols) and edaphic parameters (black lines and dots). AOC impact: Impact sites with active overwintering colonies (Black Sea), AOC control: Control sites close to active overwintering colonies (Black Sea), AF impact: Impact sites in abandoned forests (Azov Sea), AF control: Control sites in abandoned forests (Azov Sea). 1) Mesaphorura, 2) Pseudachorutes, 3) Xenylla, 4) Folsomia gr. quadrioculata, 5) Parisotoma, 6) Isotomiella, 7) Cryptopygus, 8) Isotoma, 9) Lepidocyrtus, 10) Pseudosinella, 11) Entomobrya.
Figure 1 in Impact of overwintering cormorants (Phalacrocorax carbo) on springtail (Hexapoda: Collembola) communities of the Azov and Black Sea coastal forests
Figure 1. Abundance of different functional groups of springtails (ind. m–2 ± SE, n = 2 at the control and impact sites of forests with active overwintering cormorant colonies (Black Sea). Epied: Epiedaphic, Hemied: Hemiedaphic, Eued: Euedaphic, EMC: Euedaphic microorganism consumers, HMC: Hemiedaphic microorganism consumers, EPMC: Epiedaphic plant and microorganism consumers, EAMC: Epiedaphic animal and microorganism consumers. *: Statistically significant differences between the control and impact sites according to the Tukey HSD test.
Figure 1 in The impact of chilling on selected attributes of the blowfly, Calliphora vicina (Robineau-Desvoidy, 1830) (Diptera: Calliphoridae), under laboratory conditions
Figure 1. Effects of chilling period (24 h, 48 h, 72 h, 120 h) on the percentage number of individuals reaching pupae and adulthood stage of Calliphora vicina (a: 1st instar larva, b: 2nd instar larva, c: 3rd instar larva, d: Postfeeding larva, e: Pupa).
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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.