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LAGOS-NE Shallow Lakes: a dataset of lake variables and multi-scaled ecological context variables used to predict and compare trophic status and TP:CHLa relationships between shallow and non-shallow lakes in the Upper Midwest and Northeastern United States.
We conducted a macroscale study of 2,210 shallow lakes (mean depth ≤ 3m or a maximum depth ≤ 5m) in the Upper Midwestern and Northeastern U.S. We asked: What are the patterns and drivers of shallow lake total phosphorus (TP), chlorophyll a (CHLa), and TP–CHLa relationships at the macroscale, how do these differ from those for 4,360 non-shallow lakes, and do results differ by hydrologic connectivity class? To answer this question, we assembled the LAGOS-NE Shallow Lakes dataset described herein, a dataset derived from existing LAGOS-NE, LAGOS-DEPTH, and LAGOS-CLIMATE datasets. Response data variables were the median of available summer (e.g., 15 June to 15 September) values of total phosphorus (TP) and chlorophyll a (CHLa). Predictor variables were assembled at two spatial scales for incorporation into hierarchical models. At the local or lake-specific scale (including the individual lake, its inter-lake watershed [iws] or corresponding HU12 watershed), variables included those representing land use/cover, hydrology, climate, morphometry, and acid deposition. At the regional scale (e.g., HU4 watershed), variables included a smaller set of predictor variables for hydrology and land use/cover. The dataset also includes the unique identifier assigned by LAGOS-NE(lagoslakeid); the latitude and longitude of the study lakes; their maximum and mean depths along with a depth classification of Shallow or non-Shallow; connectivity class (i.e., whether a lake was classified as connected (with inlets and outlets) or unconnected (lacking inlets); and the zone id for the HU4 to which each lake belongs. Along with the database, we provide the R scripts for the hierarchical models predicting TP or CHLa (TPorCHL_predictive_model.R), and the TP—CHLa relationship (TP_CHL_CSI_Model.R) for depth and connectivity subsets of the study lakes.
Supplementary file 1 from: Moliner Cachazo L, Makati K, Chadwick MA, Catford JA, Price BW, Mackay AW, Guiry MD, Murray-Hudson M, Murray-Hudson F (2023) A review of the freshwater diversity in the Okavango Delta and Lake Ngami (Botswana): taxonomic composition, ecology, comparison with similar systems and conservation status. Aquatic Sciences
<p>Dataset with 2,204 freshwater species from the Okavango Delta and Lake Ngami (Botswana), with additional 355 species found in other areas of Botswana that are likely to be present in the study region. The dataset covers the following groups: amphibians, birds, fishes, macroinvertebrates, macrophytes, mammals, reptiles, phytoplankton, and zooplankton. The following information is given for each species: status in the Okavango Delta and Lake Ngami (present/potentially present); conservation status globally, Phylum, Class, Order, Family, Genus, species name, cited synonyms, common name, habitat, presence in high water, presence in low water, ecology, distribution in continental Africa, confirmed locations in the Okavango Delta, site coordinates, references, notes.</p>
Fig. 3 in The nematode assemblage as a tool for the assessment of marine ecological quality status: a case-study in the Central Adriatic Sea
Fig. 3: Composition of colonizers-persisters (c-p) at each station and in each period. The c-p1 and c-p5 were excluded because they were not found in the study area.
Fig. 2 in The nematode assemblage as a tool for the assessment of marine ecological quality status: a case-study in the Central Adriatic Sea
Fig. 2: a) Shannon Index; b) Pielou Index; c) Maturity Index; d) Index of Trophic Dominance calculated for the nematode assemblage at each station in the study area.
Fig. 1 in The ecology, distribution, status, threats, and conservation of the Common Water Monitor (Varanus salvator) in the Dhaleswari River of Assam, India
Fig. 1. (A) Map of India, highlighting Assam. (B) Map of Assam, highlighting Hailakandi district. (C) Map of Hailakandi district showing the two rivers, Dhaleswari River and Katakhal River, with distribution of the Common Water Monitor (Varanus salvator). Dots represent sighting locations during the present survey; current distribution in the Dhaleswari River is shown in green. Further downstream, despite no present records, occurrence in the past (1970s–1980s) was reported by several interviewees (shown in yellow). No reports on present occurrence in the Katakhal River (shown in red) could be found. Map by A.S. Choudhury.
Fig. 2 in The ecology, distribution, status, threats, and conservation of the Common Water Monitor (Varanus salvator) in the Dhaleswari River of Assam, India
Fig. 2. Photographs relevant to the habitat and threats of the Common Water Monitor (Varanus salvator) in the Dhaleswari River, Assam, India. (A) Research team interacting with the locals at Rongpur 5, Hailakandi. (B) Habitat of the Common Water Monitor in the Dhaleswari River, showing bushes and other features on the banks. (C) The sandy bank of the Katakhal River, prone to erosion and landslides, is the habitat not preferred by the Common Water Monitor. (D) The sluice gate at the mouth of Dhaleswari River at Shahabad, which prevents water flow into it and diverts the water to the Katakhal River. (E) Encroachment and conversion of the Dhaleswari River into fisheries by the locals building dikes at Rongpur 2. Photos by A.S. Choudhury.
Fig. 3. A in The ecology, distribution, status, threats, and conservation of the Common Water Monitor (Varanus salvator) in the Dhaleswari River of Assam, India
Fig. 3. A Common Water Monitor (Varanus salvator) killed for venturing into a human habitation at Rongpur 6, Hailakandi. It was subsequently buried. Photo by R.A. Barbhuiya.
Figure 1 in Ecological impact and population status of non-native bees in a Brazilian urban environment
Figure 1 Bipartite network and non-native bees sampled in Curitiba. a) Bipartite network, non-native plant and bees colored, b) Anthidium manicatum, female; c) Distributional range of A. manicatum (SpeciesLink); d) Melipona scutellaris worker on Calliandra brevipes; e) Distributional range of M. scutellaris (SpeciesLink), natural records in green.
Figure 2 in A review of the status, distribution and ecology of Friedmann's Lark Mirafra pulpa, including its habitat associations
Figure 2. Spatial distribution of records of Friedmann's Lark Mirafra pulpa records in relation to the cindercone formations of the Dukana / Huri Hills in Kenya (KE) and Ethiopia (ET), and the Nyambeni and Chyulu Hills in Kenya. Records extend to Tanzania (TZ).
Figure 1 in A review of the status, distribution and ecology of Friedmann's Lark Mirafra pulpa, including its habitat associations
Figure 1(a) Monthly (1912–2018) and (b) annual (since 1972) summaries of Friedmann's Lark Mirafra pulpa records.
Figure 3 in A review of the status, distribution and ecology of Friedmann's Lark Mirafra pulpa, including its habitat associations
Figure 3. Satellite imagery (© Google Earth) showing the denser grassland and poorer drainage (evidenced by abundant water pans) that characterise white ash-based soils (right side) in comparison to red soils (left side) in the Kilaguni Lodge area of Tsavo West National Park (Kenya).
Linked collectors and determiners for: A new western Canadian record of Epeoloides pilosulus (Cresson), with discussion of ecological associations, distribution and conservation status in Canada.
Natural history specimen data linked to collectors and determiners held within, "A new western Canadian record of Epeoloides pilosulus (Cresson), with discussion of ecological associations, distribution and conservation status in Canada". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/6011377d-14c4-42fa-a5b1-22643dfacdf1">https://bionomia.net/dataset/6011377d-14c4-42fa-a5b1-22643dfacdf1</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/6011377d-14c4-42fa-a5b1-22643dfacdf1">https://gbif.org/dataset/6011377d-14c4-42fa-a5b1-22643dfacdf1</a>. Formatted as a Frictionless Data package.
FIG. 4 in New records of flying foxes (Chiroptera: Pteropus sp.) from Seram, Indonesia, with notes on ecology and conservation status
FIG. 4. Lateral views of skulls of A, Pteropus chrysoproctus (MZB 36909♀); B, Pteropus melanopogon (MZB 10753); C, Pteropus ocularis (MZB 369283); D, Pteropus temminckii (MZB 369253).
FIG. 3 in New records of flying foxes (Chiroptera: Pteropus sp.) from Seram, Indonesia, with notes on ecology and conservation status
FIG. 3. Ventral views of skulls of A, Pteropus chrysoproctus (MZB 36909♀); B, Pteropus melanopogon (MZB 10753); C, Pteropus ocularis (MZB 369283); D, Pteropus temminckii (MZB 369253).
FIG. 2 in New records of flying foxes (Chiroptera: Pteropus sp.) from Seram, Indonesia, with notes on ecology and conservation status
FIG. 2. Dorsal views of skulls of A, Pteropus chrysoproctus (MZB 36909♀); B, Pteropus melanopogon (MZB 10753); C, Pteropus ocularis (MZB 369283); D, Pteropus temminckii (MZB 369253).
FIG. 15 in A study of the morphology and distribution of four Achnanthidium Kütz. species (Bacillariophyta), implications for ecological status assessment, and description of two new European species
FIG. 15. — Achnanthidium tirolense sp. nov., specimens from Plansee, Austria: A-AG, LM views of valves. Scale bar: 10 µm.
FIG. 20 in A study of the morphology and distribution of four Achnanthidium Kütz. species (Bacillariophyta), implications for ecological status assessment, and description of two new European species
FIG. 20. — Principal component analysis of elliptic Fourier shape harmonics for specimens of Achnanthidium sieminskae Witkowski, Kulikowskiy & Riaux-Gob. from different geographic regions (Europe, Wales, Scotland and England). Specimens of Achnanthidium caledonicum (Lange-Bert.) Lange-Bert. are used as the outgroup. The biplot presents the first two axes with a total explained variance of 92.4 %.
FIG. 18 in A study of the morphology and distribution of four Achnanthidium Kütz. species (Bacillariophyta), implications for ecological status assessment, and description of two new European species
FIG. 18. — Achnanthidium lacuslustense sp. nov., specimens from Lustsee, Germany: A, SEM external view of raphe valve; B, SEM internal view of raphe valve; C, D, SEM external views of frustules in girdle view; E, SEM external view of rapheless valve; F, SEM internal view of rapheless valve; G, SEM internal view of centre of rapheless valve; H, SEM internal view of pole of rapheless valve. Scale bars: A-F, 5 µm; G, H, 3 µm.
FIG. 11 in A study of the morphology and distribution of four Achnanthidium Kütz. species (Bacillariophyta), implications for ecological status assessment, and description of two new European species
FIG. 11. — Achnanthidium neomicrocephalum Lange-Bert. & F.Staab, specimens from Lustsee, Germany: A-F, SEM views of rapheless valves; A, SEM external view of valve; B, SEM internal view of valve; C, SEM external view of pole; D, SEM external view of valve centre; E, SEM internal view of valve centre; F, SEM internal view of pole. Scale bars: A, B, 5 µm; C-F, 1 µm.
FIG. 8 in A study of the morphology and distribution of four Achnanthidium Kütz. species (Bacillariophyta), implications for ecological status assessment, and description of two new European species
FIG. 8. — Achnanthidium sieminskae Witkowski, Kulikowskiy & Riaux-Gob., specimens from Brunnsee, Germany: A, SEM external view of raphe valve; B, SEM external view of rapheless valve, internal view of raphe valve; C, SEM external view of rapheless valve; D, SEM internal view of rapheless valve; E, SEM external view of rapheless valve at centre; F, SEM external view of rapheless valve at pole. Scale bars: A-D, 5 µm; E, F, 3 µm.
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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.