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zenodo40/100

Fig. 8 in Reproductive biology of Poecilia sphenops Valenciennes, 1846 (Cyprinidontiformes: Poeciliidae) at the Emiliano Zapata Reservoir in Morelos, Mexico

Fig. 8. Seasonal variation of chlorophyll a concentration (mg/m³), water temperature (°C) and dissolved oxygen (mg/L) at Emiliano Zapata Reservoir.

opencc-by-4.0Jun 2016View details →
zenodo40/100

Fig. 7 in Reproductive biology of Poecilia sphenops Valenciennes, 1846 (Cyprinidontiformes: Poeciliidae) at the Emiliano Zapata Reservoir in Morelos, Mexico

Fig. 7. Seasonal variation of the condition index (K) of P. sphenops in the Emiliano Zapata Reservoir.

opencc-by-4.0Jun 2016View details →
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Fig. 6 in Reproductive biology of Poecilia sphenops Valenciennes, 1846 (Cyprinidontiformes: Poeciliidae) at the Emiliano Zapata Reservoir in Morelos, Mexico

Fig. 6. Seasonal variation of the gonadosomatic index (GSI) for Poecilia sphenops females (a) and males (b).

opencc-by-4.0Jun 2016View details →
zenodo40/100

Fig. 1 in Reproductive biology of Poecilia sphenops Valenciennes, 1846 (Cyprinidontiformes: Poeciliidae) at the Emiliano Zapata Reservoir in Morelos, Mexico

Fig. 1. Map showing location of the study area in Mexico where Poecilia sphenops samples were collected.

opencc-by-4.0Jun 2016View details →
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Fig. 2 in Reproductive biology of Poecilia sphenops Valenciennes, 1846 (Cyprinidontiformes: Poeciliidae) at the Emiliano Zapata Reservoir in Morelos, Mexico

Fig. 2. Length frequency distribution by sex for Poecilia sphenops at Emiliano Zapata Reservoir, Mexico.

opencc-by-4.0Jun 2016View details →
zenodo40/100

Fig. 3 in Reproductive biology of Poecilia sphenops Valenciennes, 1846 (Cyprinidontiformes: Poeciliidae) at the Emiliano Zapata Reservoir in Morelos, Mexico

Fig. 3. Monthly sex ratio for Poecilia sphenops in the Emiliano Zapata Reservoir. Asterisks indicate not significant differences.

opencc-by-4.0Jun 2016View details →
zenodo40/100

Image 1 in Tiger beetles (Coleoptera: Cicindelidae) of ancient reservoir ecosystems of Sri Lanka

Image 1. Kandalama Reservoir, Matale District, Central Province of Sri Lanka with the sandy bank on which tiger beetles were found

opencc-by-4.0Apr 2012View details →
zenodo40/100

Modelled Temperature in Cuerda del Pozo Reservoir

<p>This dataset in NetCDF format stores the modelled temperature of Cuerda del Pozo reservoir produced by Delft3D software.</p>

opencc-by-4.0Dec 2016View details →
zenodo40/100

ROSSyndicate Cameron Peak Fire (CPF) reservoir water quality data: Latest Release: 2021- 11/2023 Dataset

<p><strong>Data Description:</strong> The majority of this dataset is water chemistry grab sample data collected post-Cameron Peak Fire in the Cache la Poudre Watershed between the years of 2021 and 2023. This dataset also includes historical data collected pre Cameron Peak Fire by the Rhoades lab at the US Forest Service Rocky Mountain Research Station. These data are focused on basic water quality parameters, as well as cations and anions. Data were collected at various reservoirs in the Cache la Poudre watershed as well as the mainstem of the Cache la Poudre River. This project is ongoing and additional data will be released as it is analyzed.</p> <p><strong>Background Information:</strong> The 2020 Cameron Peak wildfire (CPF) was the largest wildfire in Colorado history at over 200,000 acres. The CPF burned a large proportion of the Cache la Poudre watershed, in particular areas surrounding high elevation reservoirs. This work is funded to support ongoing source water protection programs by the City of Fort Collins, Greeley, Thornton and Northern Water. In collaboration with the Rocky Mountain Research Station (USFS, RMRS), we are sampling various reservoir, tributary, and mainstem sites of the Cache la Poudre watershed. This field campaign allows us to analyze trends in water quality focusing on nutrients and other key constituents mobilized post-fire. The goal of this project is to understand how these nutrients affect algal growth in reservoirs and how those changes are propagated downstream. The reservoirs studied are the following: Barnes Meadow Reservoir, Chambers Lake, Comanche Reservoir, Hourglass Reservoir, Joe Wright Reservoir, Long Draw Reservoir, and Peterson Lake. Historical data (prior to 2021) was collected by the Rhoades Lab at the USFS' Rocky Mountain Research Station.</p> <p><strong>The primary data file is&nbsp;data/cleaned/CPF_reservoir_chemistry_up_to_202301027.csv.</strong> Column definitions and units are defined in the file <em>metadata/Units_Cam_Peak.xlsx</em>. Methods used to collect these data are outline below or in <em>metadata/rmrs_procedures.png</em></p> <p>Location metadata file is <em>data/metadata/cpf_sites.csv</em>. A basic map showing all sampling locations is available at cpf_sites_map.html.</p> <p>Code is housed in the <em>scripts</em> folder and contains the following files:</p> <p>- &nbsp; <em>00_analysis_setup.R</em> provides loads packages and metadata files to be collated in <em>01_chem_prep.qmd</em>.</p> <p>- &nbsp; <em>01_chem_prep.qmd</em> adds metadata to most recent .csv of water chemistry data supplied by RMRS lab.</p> <p>- &nbsp;<em> distance_finder.R</em> uses NHDflowlines to calculate distances from furthest downstream site, PBD.</p> <p>- &nbsp; <em>cpf_sites_map.R</em> uses location metadata to create <em>cpf_sites_map.html</em></p> <p>- &nbsp; <em>demo.R</em> provides an example of how to download data from Zenodo directly in RStudio</p> <p><strong>Data are housed in the data folder and it contains the following:</strong></p> <p>- &nbsp; cleaned: This folder contains the most recently available dataset and has associated burn severity and location data added to the chemistry data. The addition of the metadata was accomplished using the `01_chem_prep.qmd` R script.</p> <p>- &nbsp; cleaned_archive: This folder contains an archive of previously cleaned data. <strong>Downstream users are encouraged to use the collated data file `CPF_reservoir_chemistry_up_to_20231027.csv`</strong> in the `cleaned` directory.</p> <p>- &nbsp; raw: These data were directly received by the ROSSyndicate from RMRS lab managers. Downstream users are encouraged to use the collated data file `CPF_reservoir_chemistry_up_to_20231027.csv` in the `cleaned` directory.</p> <p>- &nbsp; metadata: this contains location data, parameter/column name definitions, units, and methods used at the RMRS Lab. The `README` file in this folder explains burn severity classifications used in the files `sbs_watershed.csv`,`sbs_watershed.csv` and `cpf_sites.csv`</p> <p><strong>Sample Collection</strong></p> <p>Field measurements were taken using a Thermo Orion Star with RDO Optical and Conductivity probes. Time data, when present, are listed in MST. Samples were collected and processed using the Rocky Mountain Research Station's Biogeochemistry Lab, overseen by Timothy Fegel and Charles Rhoades, according to the methods described in rmrs_procedures.png</p> <p><strong>Version: v2023.12.13</strong></p>

opencc-by-4.0Dec 2023View details →
zenodo40/100

Stochastic Modelling of Thin Mud Drapes inside Point Bar Reservoirs with ALLUVSIM-GANSim

<p>Here is the dataset and code for the paper by Hu, X et al. (2023, under review). <span>Stochastic Modelling of Thin Mud Drapes inside Point Bar Reservoirs with ALLUVSIM-GANSim,</span> Water Resources Research.</p>

opencc-by-4.0Dec 2023View details →
dryad40/100

R scripts, input and output data for: Season of death, pathogen persistence and wildlife behaviour alter number of anthrax secondary infections from environmental reservoirs

<p>An important part of infectious disease management is predicting factors that influence disease outbreaks, such as <em>R</em>, the number of secondary infections arising from an infected individual. Estimating <em>R</em> is particularly challenging for environmentally transmitted pathogens given time lags between cases and subsequent infections. Here, we calculated <em>R</em> for <em>Bacillus anthracis</em> infections arising from anthrax carcass sites in Etosha National Park, Namibia. Combining host behavioural data, pathogen concentrations, and simulation models, we show that <em>R</em> is spatially and temporally variable, driven by spore concentrations at death, host visitation rates and early preference for foraging at infectious sites. While spores were detected up to a decade after death, most secondary infections occurred within two years. Transmission simulations under scenarios combining site infectiousness and host exposure risk under different environmental conditions led to dramatically different outbreak dynamics, from pathogen extinction (<em>R</em>&lt;1) to explosive outbreaks (<em>R</em>&gt;10). These transmission heterogeneities may explain variation in anthrax outbreak dynamics observed globally, and more generally, the critical importance of environmental variation underlying host-pathogens interactions. Notably, our approach allowed us to estimate the lethal dose of a highly virulent pathogen non-invasively from observational studies and epidemiological data, useful when experiments on wildlife are undesirable or impractical.</p>

opencc-zeroJan 2024View details →
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Fig. 2 in Natural history of Zoonotic Babesia: Role of wildlife reservoirs

Fig. 2. Babesia parasites in human erythrocytes. (a) B. divergens, (b) B. venatorum, (c) Babesia sp. MO1 from Kentucky, (d) B. microti, (e) B. duncani, (f) Babesia sp. KO1 from Korea. (1) Paired piriforms; (2) Tetrads; (3) Ring forms. The figure was reprinted with permission from Elsevier first published in Gray et al. (2010). The parasites shown in Fig. 2a, b, c, e, and f were assembled from original photographs, first published as follows: (a) Hunfeld et al., 2008; (b) Häselbarth et al., 2007; (c) Beattie et al., 2002; (e) Kjemtrup et al., 2002; (f) Kim et al., 2007.

opencc-by-4.0Dec 2013View details →
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Fig. 1 in Natural history of Zoonotic Babesia: Role of wildlife reservoirs

Fig. 1. Phylogenetic tree of Babesia and related piroplasms with zoonotic species bolded. The tree was constructed using neighbor-joining analysis of full-length 18S rRNA gene sequences extracted from GenBank (accession numbers listed for each species). For zoonotic representatives, the endemic country or region is listed in parentheses.

opencc-by-4.0Dec 2013View details →
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РИС. 9. УльтратонкаЯ морфологиЯ глохидиальной створки Amuranodonta kijaensis иЗ Зейского вдхр.: А, В. НаружнаЯ микроскульптура в центральной части створки. С. Внутренние поры на участке рЯдом с аддуктором. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. МасШтабные линейки: 1 мкм (А, В) и 5 мкм (С). FIG. 9. Ultramorphology of the glochidial valve of Amuranodonta kijaensis from Zeya Reservoir: A, В. External microsculpture in the central part of the valve. С. Inner pores in the area next to the adductor. SEM. Scale bars: 1 µm (A, B) and 5 µm (C). in Новые данные об охранЯемом пресноводном двустворчатом моллюске Amuranodonta kijaensis Moskvicheva, 1973 (Unionidae, Anodontinae)

РИС. 9. УльтратонкаЯ морфологиЯ глохидиальной створки Amuranodonta kijaensis иЗ Зейского вдхр.: А, В. НаружнаЯ микроскульптура в центральной части створки. С. Внутренние поры на участке рЯдом с аддуктором. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. МасШтабные линейки: 1 мкм (А, В) и 5 мкм (С). FIG. 9. Ultramorphology of the glochidial valve of Amuranodonta kijaensis from Zeya Reservoir: A, В. External microsculpture in the central part of the valve. С. Inner pores in the area next to the adductor. SEM. Scale bars: 1 µm (A, B) and 5 µm (C).

opencc-by-4.0Apr 2024View details →
zenodo40/100

РИС. 6. Раковины Amuranodonta kijaensis бассейна Амура, вид сбоку (1) и сверху (2): A. Зейское вдхр. В. Антоновское вдхр. С. Река Амур у с. Чныррах. МасШтабные линейки: 5 см. FIG. 6. Shells of Amuranodonta kijaensis, side view (1) and from umbo (2): A. Zeya Reservoir. B. Antonovskoe Reservoir. С. Amur River near Chnyrrakh village. Scale bars: 5 cm. in Новые данные об охранЯемом пресноводном двустворчатом моллюске Amuranodonta kijaensis Moskvicheva, 1973 (Unionidae, Anodontinae)

РИС. 6. Раковины Amuranodonta kijaensis бассейна Амура, вид сбоку (1) и сверху (2): A. Зейское вдхр. В. Антоновское вдхр. С. Река Амур у с. Чныррах. МасШтабные линейки: 5 см. FIG. 6. Shells of Amuranodonta kijaensis, side view (1) and from umbo (2): A. Zeya Reservoir. B. Antonovskoe Reservoir. С. Amur River near Chnyrrakh village. Scale bars: 5 cm.

opencc-by-4.0Apr 2024View details →
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РИС. 2. Места нахождениЯ Amuranodonta kijaensis на территории Хинганского Заповедника, АмурскаЯ обл.: А. Схема расположениЯ лесничеств: 1 – Антоновское, 2 – Лебединское, 3 – Хинганское. B. ТопографическаЯ карта Антоновского вдхр. у пос. Архара. С, D. Топографические карты и спутниковый снимок оЗ. Яценково на территории Антоновского лесничества. E–G. ТопографическаЯ карта и спутниковый снимок оЗ. ПереШеечное на территории Лебединского лесничества. МасШтабные линейки: 20 км (А), 4 км (В, Е), 5 км (С), 1 км (D, G), 2 км (F). FIG. 2. Localities of Amuranodonta kijaensis in the Khingansky Reserve, Amur Region: A. Layout of forestry areas: 1 – Antonovsky, 2 – Lebedinsky, 3 – Khingansky. B. Topographic map of Antonovskoe Reservoir near Arkhara village. C, D. Topographic maps and satellite image of Yatsenkovo lake, Antonovsky forestry. E–G. Topographic map and satellite image of Peresheechnoe lake, Lebedinsky forestry. Scale bars: 20 km (A), 4 km (B, E), 5 km (C), 1 km (D, G), 2 km (F). in Новые данные об охранЯемом пресноводном двустворчатом моллюске Amuranodonta kijaensis Moskvicheva, 1973 (Unionidae, Anodontinae)

РИС. 2. Места нахождениЯ Amuranodonta kijaensis на территории Хинганского Заповедника, АмурскаЯ обл.: А. Схема расположениЯ лесничеств: 1 – Антоновское, 2 – Лебединское, 3 – Хинганское. B. ТопографическаЯ карта Антоновского вдхр. у пос. Архара. С, D. Топографические карты и спутниковый снимок оЗ. Яценково на территории Антоновского лесничества. E–G. ТопографическаЯ карта и спутниковый снимок оЗ. ПереШеечное на территории Лебединского лесничества. МасШтабные линейки: 20 км (А), 4 км (В, Е), 5 км (С), 1 км (D, G), 2 км (F). FIG. 2. Localities of Amuranodonta kijaensis in the Khingansky Reserve, Amur Region: A. Layout of forestry areas: 1 – Antonovsky, 2 – Lebedinsky, 3 – Khingansky. B. Topographic map of Antonovskoe Reservoir near Arkhara village. C, D. Topographic maps and satellite image of Yatsenkovo lake, Antonovsky forestry. E–G. Topographic map and satellite image of Peresheechnoe lake, Lebedinsky forestry. Scale bars: 20 km (A), 4 km (B, E), 5 km (C), 1 km (D, G), 2 km (F).

opencc-by-4.0Apr 2024View details →
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РИС. 1. Место нахождениЯ Amuranodonta kijaensis в Зейском районе, АмурскаЯ обл.: А. Карта-схема области. B. Зейское вдхр. С, D. ТопографическаЯ карта и спутниковый снимок Залива в Западной части Зейского вдхр. у пос. Береговой с укаЗанием места сбора. МасШтабные линейки: 300 км (А), 50 км (В), 4 км (С) и 200 м (D). FIG. 1. Locality of Amuranodonta kijaensis in Zeya District, Amur Region: A. Schematic map of the region. B. Zeya Reservoir. C, D. Topographic map and satellite image of the bay in the western part of Zeya Reservoir near Beregovoi village indicating the collection site. Scale bars: 300 km (А), 50 km (В), 4 km (С), and 200 m (D). in Новые данные об охранЯемом пресноводном двустворчатом моллюске Amuranodonta kijaensis Moskvicheva, 1973 (Unionidae, Anodontinae)

РИС. 1. Место нахождениЯ Amuranodonta kijaensis в Зейском районе, АмурскаЯ обл.: А. Карта-схема области. B. Зейское вдхр. С, D. ТопографическаЯ карта и спутниковый снимок Залива в Западной части Зейского вдхр. у пос. Береговой с укаЗанием места сбора. МасШтабные линейки: 300 км (А), 50 км (В), 4 км (С) и 200 м (D). FIG. 1. Locality of Amuranodonta kijaensis in Zeya District, Amur Region: A. Schematic map of the region. B. Zeya Reservoir. C, D. Topographic map and satellite image of the bay in the western part of Zeya Reservoir near Beregovoi village indicating the collection site. Scale bars: 300 km (А), 50 km (В), 4 km (С), and 200 m (D).

opencc-by-4.0Apr 2024View details →
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РИС. 8. Крючки глохидиев Amuranodonta kijaensis иЗ Зейского вдхр.: A, В. Вид спереди. С. Вид сбоку. D. МакроШипы. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. МасШтабные линейки: 40 мкм (А, В, D) и 25 мкм (С). FIG. 8. Glochidial hooks of Amuranodonta kijaensis from Zeya Reservoir: A, B. Front view; C. Side view. D. Macrospines. SEM. Scale bars: 40 µm (A, B, D) and 25 µm (C). in Новые данные об охранЯемом пресноводном двустворчатом моллюске Amuranodonta kijaensis Moskvicheva, 1973 (Unionidae, Anodontinae)

РИС. 8. Крючки глохидиев Amuranodonta kijaensis иЗ Зейского вдхр.: A, В. Вид спереди. С. Вид сбоку. D. МакроШипы. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. МасШтабные линейки: 40 мкм (А, В, D) и 25 мкм (С). FIG. 8. Glochidial hooks of Amuranodonta kijaensis from Zeya Reservoir: A, B. Front view; C. Side view. D. Macrospines. SEM. Scale bars: 40 µm (A, B, D) and 25 µm (C).

opencc-by-4.0Apr 2024View details →
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РИС. 7. Глохидии Amuranodonta kijaensis иЗ Зейского вдхр.: A. Раковина с Закрытыми створками. B, C. Раковина с открытыми створками, вид иЗнутри. D, Е. Створки, вид иЗнутри и сбоку. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. МасШтабные линейки: 100 мкм. FIG. 7. Glochidia of Amuranodonta kijaensis from Zeya Reservoir: A. Shell with closed valves. B, C. Shells with open valves, interior view. D, Е. Valves, interior and side views. SEM. Scale bars: 100 µm. in Новые данные об охранЯемом пресноводном двустворчатом моллюске Amuranodonta kijaensis Moskvicheva, 1973 (Unionidae, Anodontinae)

РИС. 7. Глохидии Amuranodonta kijaensis иЗ Зейского вдхр.: A. Раковина с Закрытыми створками. B, C. Раковина с открытыми створками, вид иЗнутри. D, Е. Створки, вид иЗнутри и сбоку. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. МасШтабные линейки: 100 мкм. FIG. 7. Glochidia of Amuranodonta kijaensis from Zeya Reservoir: A. Shell with closed valves. B, C. Shells with open valves, interior view. D, Е. Valves, interior and side views. SEM. Scale bars: 100 µm.

opencc-by-4.0Apr 2024View details →
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РИС. 5. Места находок Amuranodonta kijaensis: A. Зейское вдхр. В–D. Река Амур у с. Чныррах. E, F. ОЗеро ПереШеечное. G. ОЗеро Долгое. H. Антоновское вдхр. FIG. 5. Localities of Amuranodonta kijaensis: A. Zeya Reservoir. B–D. Amur River near Chnyrrakh village. E, F. Peresheechnoe lake. G. Dolgoe lake. H. Antonovskoe Reservoir. in Новые данные об охранЯемом пресноводном двустворчатом моллюске Amuranodonta kijaensis Moskvicheva, 1973 (Unionidae, Anodontinae)

РИС. 5. Места находок Amuranodonta kijaensis: A. Зейское вдхр. В–D. Река Амур у с. Чныррах. E, F. ОЗеро ПереШеечное. G. ОЗеро Долгое. H. Антоновское вдхр. FIG. 5. Localities of Amuranodonta kijaensis: A. Zeya Reservoir. B–D. Amur River near Chnyrrakh village. E, F. Peresheechnoe lake. G. Dolgoe lake. H. Antonovskoe Reservoir.

opencc-by-4.0Apr 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record