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Fig. 9. Core ARD 3 in The Use of Testate Amoebae in Monitoring Peatland Restoration Management: Case Studies from North West England and Ireland
Fig. 9. Core ARD 3 selected percentage testate amoebae diagram, data are presented as percentages of the total testates in each level. The diagram has been subdivided into zones to better aid interpretation. Note that in the older literature (including all the more accessible identification guides) Archerella flavum is refered to as Amphitrema flavum.
Fig. 5 in Benthic Foraminiferal Assemblages and Biotopes in a Coastal Lake: The Case Study of Lake Varano (Southern Italy)
Fig. 5. Distribution of the most abundant species in Lake Varano. The sampling stations are shown here as black dots.
Fig. 3 in Benthic Foraminiferal Assemblages and Biotopes in a Coastal Lake: The Case Study of Lake Varano (Southern Italy)
Fig. 3. Grain size and geochemistry of sediments from Lake Varano. The sampling stations are shown here as black dots.
Fig. 2 in Benthic Foraminiferal Assemblages and Biotopes in a Coastal Lake: The Case Study of Lake Varano (Southern Italy)
Fig. 2. Main physicochemical parameters of the bottom water of Lake Varano. The sampling stations are shown here as black dots.
Fig. 5. Testate amoebae from the top 20 in The Use of Testate Amoebae in Monitoring Peatland Restoration Management: Case Studies from North West England and Ireland
Fig. 5. Testate amoebae from the top 20 cm of Holcroft Moss, data are presented as percentages of the total testates in each level. The diagram has been subdivided into zones (HM I – HMIV) to better aid interpretation. The zones were defined by a combination of simple inspection and multivariate analysis.
Fig. 8. Core ARD 2 in The Use of Testate Amoebae in Monitoring Peatland Restoration Management: Case Studies from North West England and Ireland
Fig. 8. Core ARD 2 selected percentage testate amoebae diagram, data are presented as percentages of the total testates in each level. The diagram has been subdivided into zones to better aid interpretation. Note that in the older literature (including all the more accessible identification guides) Archerella flavum is refered to as Amphitrema flavum.
Fig. 7. Core ARD 1 in The Use of Testate Amoebae in Monitoring Peatland Restoration Management: Case Studies from North West England and Ireland
Fig. 7. Core ARD 1 selected percentage testate amoebae diagram, data are presented as percentages of the total testates in each level. The diagram has been subdivided into zones to better aid interpretation. Note that in the older literature (including all the more accessible identification guides) Archerella flavum is refered to as Amphitrema flavum and Padaungiolla lageniformis is called Nebela lageniformis.
Figure 6 in Genetic divergences of South and Southeast Asian frogs: a case study of several taxa based on 16S ribosomal RNA gene data with notes on the generic name Fejervarya
Figure 6. Maximum likelihood (ML) tree of bufonid frogs based on nucleotide sequences of the mitochondrial 16S rRNA gene with Leptophryne borbonica as an outgroup. The bootstrap support (>50%) is indicated at nodes in the order of ML (500) replicates. Asterisks represent Bayesian posterior probability (BPP; * ≥95%). Specimens examined in this study are indicated by boldface type.
Figure 2 in Genetic divergences of South and Southeast Asian frogs: a case study of several taxa based on 16S ribosomal RNA gene data with notes on the generic name Fejervarya
Figure 2. Maximum likelihood (ML) tree based on nucleotide sequences of the mitochondrial 16S rRNA gene from 88 haplotypes of frogs (Table 1), with Xenopus laevis as an outgroup. Bootstrap support (>50%) is indicated at nodes in the order of ML (1000) replicates. Asterisks represent Bayesian posterior probability (BPP; * ≥95%).
Figure 1 in Studies on the effects of some physico-chemical parameters on the distribution of Collembola: A case study from Hooghly District, West Bengal
Figure 1. The family-wise abundance of Collembolan species of Hooghly district (Singur and Dadpur block).
Figure 3 in Studies on the effects of some physico-chemical parameters on the distribution of Collembola: A case study from Hooghly District, West Bengal
Figure 3. Correlation between total Collembolan population density and soil moisture of four main seasons observed in Hooghly district.
Figure 10 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 10. Blue dots - families visited by Melipona in the Amazon, between 1977 and 2020; red dots - families identified in this study as pollen sources for Melipona crinita; the lines between the red and blue dots indicate that the families identified in this study are part of those that are already known to provide floral resources for Melipona bees in the Amazon. The chart was built based on data from Pimentel et al. (2021). / Puntos azules - familias visitadas por Melipona en la AmazonÍa, entre 1977 y 2020; puntos rojos - familias identificadas en este estudio como fuentes de polen para Melipona crinita; las lÍneas entre los puntos rojo y azul indican que las familias identificadas en este estudio son parte de las que ya se sabe que proporcionan recursos florales para las abejas meliponas en la AmazonÍa. El gráfico fue construido con base en datos de Pimentel et al. (2021).
Figure 9 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 9. Frequency of pollen types collected by Melipona crinita, based on the origin and growth habit of each plant species. / Frecuencia de tipos de polen recolectados por Melipona crinita, según el origen y hábito de crecimiento de cada especie vegetal.
Figure 8 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 8. Frequency of growth habit and origin of plants visited by Melipona crinita, from April 2018 to March 2019. / Frecuencia de hábito de crecimiento y origen de las plantas visitadas por Melipona crinita, de abril de 2018 a marzo de 2019.
Figure 6 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 6. Frequency of occurrence of the most representative pollen types, within each sampled month. Only the two most abundant in each month are represented. / Frecuencia de presencia de los tipos de polen más representativos, dentro de cada mes muestreado. Sólo se representan los dos más abundantes de cada mes.
Figure 7 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 7. Distribution of the flowering period of the plants used by Melipona crinita, for pollen collection, from April 2018 to March 2019. / Distribución del periodo de floración de las plantas utilizadas por Melipona crinita para la recolección de polen, desde abril de 2018 hasta marzo de 2019.
Figure 2 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 2. Optical photomicrographs of pollen types collected by Melipona crinita: / FotomicrografÍas ópticas de tipos de polen recogidos por Melipona crinita: Anacardiaceae – Schinus (1); Apiaceae – Eryngium foetidum (2); Arecaceae – Astrocaryum aculeatum (3); Cocos nucifera (4); Oenocarpus bacaba (5); Asteraceae – Vernonia (6); Begoniaceae – Begonia (7); Bixaceae – Bixa (8); Cannabaceae – Celtis (9); Combretaceae – Combretum (10); Cucurbitaceae – Citrullus (11); Dilleniaceae – Doliocarpus (12); Doliocarpus dentatus (13); Euphorbiaceae – Alchornea (14); Aparisthmium cordatum (15); Croton lanjouwensis (16); Fabaceae (Caesalpinioideae) Copaifera multijuga (17); Delonix (18); Lonchocarpus (19); Senna (20); Fabaceae (Mimosoideae) Inga edulis (21); Inga marginata (22); Mimosa adenophylla (23); Mimosa caesalpiniifolia (24) (Bars = 20 µm).
Figure 1 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 1. Location of the meliponary where the study was carried out (Google Earth ™). / Ubicación del meliponario donde se realizó el estudio (Google Earth ™).
Figure 4 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 4. (a) Frequency of occurrence of botanical families visited by Melipona crinita, from April 2018 to March 2019. (b) Frequency of occurrence of the Mimosoideae, Caesalpinioideae and Papilionoideae subfamilies. / (a) Frecuencia de presencia de familias botánicas visitadas por Melipona crinita, de abril de 2018 a marzo de 2019. (b) Frecuencia de presencia de las subfamilias Mimosoideae, Caesalpinioideae y Papilionoideae.
Figure 5 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 5. Frequency of occurrence of pollen types present in samples of Melipona crinita, from April 2018 to March 2019. / Frecuencia de presencia de tipos de polen presentes en muestras de Melipona crinita, de abril 2018 a marzo 2019.
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.