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26 results for “Lake Ontario”
Perry et al. (2025) Data Package: Effects of diluted bitumen and remediation methods on lower trophic levels within boreal lake enclosures. Data were collected during 2019 at the IISD Experimental Lakes Area in Northwestern Ontario.
This data package corresponds to a research study by Perry et al. (2025) titled "The effects of diluted bitumen, the shoreline cleaner Corexit EC9580A, and bio-stimulation on the lower food web of a boreal lake, with a focus on natural phytoplankton communities." The study examines the effect of controlled spills of diluted bitumen and two remediation methods on lower trophic levels (phytoplankton, periphyton, zooplankton). The study was undertaken within shoreline enclosures within Lake 260 at the IISD Experimental Lakes Area during 2019. In addition to primary oil recovery using sorbent pads, the two secondary remediation methods: 1) enhanced monitoring natural recovery (eMNR) that included the biostimulation of microbial communities via a slow release nutrient fertilizer, and 2) a shoreline washing agent (SWA or SCA; Corexit 9580) used to increase oil removal from affected shorelines. This data package includes the response of perphyton and zooplankton.
Year-round metabolism data from Lakes Simcoe (Ontario, 2010-2011), Diefenbaker, Blackstrap, and Broderick (Saskatchewan, 2013-2014), Canada.
This year-round limnology dataset is from four dimictic Canadian water bodies: three mesotrophic reservoirs in southern Saskatchewan (SK; Blackstrap, Broderick, Diefenbaker) and one oligo-mesotrophic large lake in southern Ontario (Lake Simcoe). Physical, chemical, and biological parameters were measured during the open-water and ice-covered seasons in 2010–2011 (Lake Simcoe) and the SK reservoirs in 2013–2014. Two stations were sampled on Blackstrap reservoir, one on Broderick reservoir, three on Diefenbaker reservoir, and seventeen on Lake Simcoe. Sampling was conducted from a boat during the open-water season and during winter, we accessed the same stations by snowmobile and sampled through holes in the ice. Epilimnetic or surface water was collected for parameters listed below, and δ18O-O2 (oxygen) stable isotope samples were collected from one to 4 depths per station, depending on water column depth and lake thermal structure that day. Parameters reported included photosynthetically active radiation, vertical attenuation coefficient, mean daily mixed layer irradiance, total phosphorus, total dissolved phosphorus, dissolved reactive phosphorus, total dissolved nitrogen, particulate nitrogen, ammonium, nitrate, chlorophyll a, particulate organic carbon, and phytoplankton biovolumes. Photosynthesis irradiance (P-E) parameters were measured including the light saturation parameter, maximum relative electron transport rate through PSII, and the light limited slope of the P-E curve. We also measured areal net productivity, areal gross productivity, and areal respiration via three different methods including fluorometry via a Water-PAM fluorometer, O2 concentrations and δ18O-O2 values, and light-dark bottle experiments measuring changes in O2 concentrations.
Sherbo et al. 2023 Data Package. Data associated with study assessing effects of dissolved organic matter on phytoplankton productivity in boreal lakes. The majority of data was collected in 2018 at the IISD Experimental Lakes Area in Northwestern Ontario
Allochthonous dissolved organic matter (DOM) structures many physical, chemical, and biological properties of lakes, including key variables that control productivity at the base of freshwater food webs. We examined phytoplankton biomass and productivity and their drivers, across eight pristine boreal lakes with DOM ranging from 3.5 to 9.5 mg DOC L-1. Increases in DOM were associated with significant increases in epilimnetic nitrogen, phosphorus and chlorophyll a (Chl a) concentrations suggesting that nutrients associated with DOM stimulate phytoplankton biomass and productivity. Such results were misleading; there was no significant relationship between Chl a and phytoplankton biomass measured via microscopy, and results did not incorporate the effects of DOM on thermocline and euphotic depth. Chl a:biomass and Chl a: carbon ratios indicated that increases in Chl a with DOM were driven by photo-acclimation to declining light availability. Increases. Further, increases in DOM led to large declines in thermocline (~50 %) and euphotic (~75 %) depths, and depth-integrated phytoplankton biomass and primary production (~70 %).
Using Hydroclimate Modeling and Social Science to Enhance Flood Resilience on Lake Ontario through the Climate Smart Communities Program
<p>This repository contains several data products associated with the New York Sea Grant project R/CHD-15 entitled <em>Using Hydroclimate Modeling and Social Science to Enhance Flood Resilience on Lake Ontario through the Climate Smart Communities Program.</em><strong><em> </em></strong>These products include:</p> <p>1. Estimates of the 25-year, 50-year, and 100-year flood across the New York coastline of Lake Ontario. These design events (reported in feet) are for still water levels that take into account both average water levels across the lake as well as local variations in water level due to storm surge. Wave setup and wave run-up are not considered in these design events. The design events incorporate the effects of water level regulation and the potential impacts of climate change on water supplies to Lake Ontario, and they are tailored for 79 unique locations along the shoreline (identified based on longitude and latitude). These flood levels are presented in an online flood risk assessment tool at: https://kts48.users.earthengine.app/view/lake-ontario-water-level-scenarios</p> <p>2. Protocols and summary of results for a series of focus groups and structured telephone interviews with local officials from communities along the Lake Ontario shoreline to assess barriers to participation in the New York State Climate Smart Communities Program.</p> <p>3. A Crosswalk between activities and administrative requirements of the New York State Climate Smart Communities Program and other federal and state flood resiliency programs. </p> <p>4. A final report summarizing the products above. </p>
Environmental and taxonomic data along the Thames River - Lake St. Clair continuum in Ontario, August 2020 to September 2023.
Data for this research were collected from water samples obtained along the Thames River- Lake St. Clair continuum to determine differences in water quality and biodiversity between river and lake sites. Sampling began in Lake St. Clair in August of 2020 in Stoney Point Ontario. Samples were taken from the intake well of the water treatment plant. The intake pipe is located approximately 1km off-shore, at a depth of 1.9m. To address spatial differences, a second site was added in Lake St. Clair in Belle River, Ontario and a river site was added in Chatham, Ontario. Belle River samples were collected from the intake well at the water treatment plant, with the intake pipe located approximately 1km off-shore and at a depth of 3.1m. Chatham samples were collected from the surface of the Thames River as grab samples. Samples from both locations were collected weekly to monthly throughout June to October, 2021. To further increase spatial resolution, samples were collected from the mouth of the Thames River in Lighthouse Cove, Ontario, from June to October 2022, and from this site and another river site in Prairie Siding, Ontario, from June to October 2023. They were collected as grab samples from the surface of the water. Each site was sampled weekly to monthly.
Higgins et al. 2024 study on dissolved organic matter controls and effects at the IISD Experimental Lakes Area, Northwestern Ontario, Canada, 1970-2019
This dataset represents long-term ecological reserch data collected at the IISD Experimental Lakes Area, Northwestern Ontario, Canada (1970 - 2019) used to support a research study reported in (Higgins et al. 2024). The study examines the relationships between long-term changes in precipitation, dissolved organic matter (DOM) loading and lake concentrations, and various physical, chemical and biological indicators.
Ontario Lake-River Routing Product version 1.0
<p>Thank you for your interest in our lake-river routing product. Please go to this <a href="https://lake-river-routing-products-uwaterloo.hub.arcgis.com/">website </a>to download and learn more about the Routing product and BasinMaker. </p> <p>In your publication using the version v1.0 of the routing product, please cite the following paper:</p> <p>BasinMaker: a GIS toolbox for distributed watershed delineation of complex lake and river routing networks. Han, M., H. Shen, B. A. Tolson, J. R. Craig, J. Mai, S. Lin, N. Basu, F. Awol, submitted April 2021 to Environmental Modelling and Software.</p> <p>(But please also check BasinMaker website where you downloaded this for the most up to date citation)</p> <p>Note that version 1.0 of this product covered only Canada and used a different DEM and is described in the following paper:</p> <p>Han, M., J. Mai, B. A. Tolson, J. R. Craig, E. Gaborit, H. Liu, K. Lee, Subwatershed-based lake and river routing products for hydrologic and land surface models applied over Canada, Canadian Water Resources Journal, 45(3), doi.org/10.1080/07011784.2020.1772116.</p> <p> </p> <p>The lake-river routing product provides a routing structure (which here refers to both the topology of the stream network and the contributing areas to individual lakes and stream reaches), to correctly represent lakes and be easily customized based on various user requirements.</p> <p>BasinMaker, which is a GIS toolbox to delineate watersheds with lakes, was used to develop this routing product. In this routing product, each lake is represented by a lake catchment. A lake catchment is defined by the following rules:1) The extent of the lake catchment will fully cover the lake; 2) the outlet of the lake catchment is the same as the outlet of the lake; 3) each lake’s inlets are treated as a catchment outlet. In this way, both inflow and outflow of each lake can be explicitly simulated by hydrologic routing models.</p> <p>Support for BasinMaker and the Ontario lake-river routing product development came from the Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry.</p>
Lake Ontario model data - 2013 & 2018
<p>This is the dataset that was generated by the model during the calibration and validation process for the Lake Ontario Hydrodynamic model developed in DHI's Mike 3 framework.</p> <p>Contains: </p> <ul> <li>water temperature data</li> <li>Current data</li> <li>Water level data</li> <li>Wave data</li> <li>metadata that identifies the position of the instruments and model observation points</li> </ul>
Lake Ontario field data - 2013 & 2018
<p>This is the field dataset that was used to calibrate and validate the Lake Ontario Hydrodynamic model</p> <p>Contains: </p> <ul> <li>water temperature from temperature chain data</li> <li>Acoustic Doppler Current Profiler data</li> <li>Tributary flows data</li> <li>Water level data</li> <li>Wave data</li> </ul>
Environmental and food web determinants of Lake Trout mercury concentrations in Ontario Lakes
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Cyanobacterial blooms in a warming climate: Paleolimnological assessments of three Boreal Shield lakes in central Ontario, Canada
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The Ontario Lake and River Routing Product Version 2 (OLRRP V2)
<p>The Ontario Lake and River Routing Product (OLRRP) is a high-resolution, vector-based lake-river routing GIS product over the Province of Ontario. The OLRRP supplies network topology and various subbasin, channel, and lake attributes required for hydrological modeling. Version 2 of OLRRP is an enhancement relative to Version 1 (<a href="../records/6536085">here</a>). </p> <p>Key upgrades in OLRRP V2 include using the Provincial Digital Elevation Model to derive elevation related attributes, almost 500 non-HYDAT hydrometric stations and over 200 hydropower generating station locations are now defined as Points of Interest (POI), an improved POI snapping procedure improves the inclusion rate and accuracy of POI on the lake and river networks, and an enhanced suite of cloud-based Python GIS post-processing tools (BasinMaker V3.1) are now available for users to access and customize their case study routing networks. </p> <p>The OLRRP V2 connects 245,576 subbasins (average area 4.3 km²) and 82,928 lakes (surface areas ranging from 0.1 km² to 4,506 km²) and assigns 4033 POI to these subbasins and lakes. The agreement between ECCC HYDAT reported drainage areas (998 in total) and the corresponding computed drainage areas is excellent. For 74% of comparisons, drainage areas show less than 2% difference while in only 4% of these comparisons, the absolute drainage area difference exceeds 10%. The OLRRPv2 provides detailed routing networks for any of the above lakes/subbasins/POIs and thus supports semi-distributed hydrological modeling, vector-based routing only modeling and other water resources analyses requiring the connectivity of lakes and rivers in Ontario.</p> <p> </p> <h3><strong>The OLRRP V2 Homepage for online map viewing and download is <a href="https://uwaterloo-olrrp.shinyapps.io/OLRRP-V2/">here</a>.</strong></h3> <h3><strong>The BasinMaker V3.1 Post-Processing Tools available on Google Colab can be found <a href="https://colab.research.google.com/drive/1tsSUiVXmU1VBR_4U313Tin_m2zmFDzRP?usp=sharing">here</a>.</strong></h3> <p> </p> <p>In this repository, three different files are attached:</p> <p>(1) Nine folders for OLRRP V2 in the nine drainage regions in Ontario (i.e., 'NW', 'FNC1', 'FNC2', 'FNE', 'FNW', 'NC', 'NE', 'SE', and 'SW'). Each folder contains several shapefiles files that are used to define a routing network and the related attributes.</p> <p>(2) A document of data specifications for GIS shapefiles. Details on different shapefiles in (1) and their attributes are clarified in this document.</p> <p>(3) The master points of interest (POI) spreadsheet for OLRRP V2 in a Microsoft EXCEL file. This file contains all POI used in OLRRP V2.</p> <p>Note that these data can also be downloaded from the OLRRP V2 homepage.</p> <p> </p> <h3><strong>Please cite the following data and paper publications if you are using the OLRRP V2</strong></h3> <p><strong>Journal Publication</strong></p> <p>Ming Han, Hongren Shen, Bryan A. Tolson, James R. Craig, Juliane Mai, Simon GM Lin, Nandita B. Basu, and Frezer S. Awol. "BasinMaker 3.0: A GIS toolbox for distributed watershed delineation of complex lake-river routing networks." <em>Environmental Modelling & Software</em> 164 (2023): 105688. (<a href="https://www.sciencedirect.com/science/article/pii/S1364815223000749">here</a>)</p> <p><strong>Data Publication</strong></p> <p>Shen, H., Han, M., Tolson, B., & Metcalfe, R. A. (2024). The Ontario Lake and River Routing Product Version 2 (OLRRP V2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10844908</p> <p> </p> <p>If you have any questions, please contact Hongren Shen (hongren.shen@uwaterloo.ca).</p> <p> </p> <h3><strong>Updates on Nov 27 2024</strong></h3> <p>A minor fix for gauge count number was made in the summary table and is now available in OLRRP_v2_POI_info_20241127.xlsx.</p> <pre>Other data can still be refered to the previous version <a href="https://doi.org/10.5281/zenodo.10844908">here.</a></pre>
Field Data Associated with Internal Swash Zone Study in Hamilton Harbour, Lake Ontario
<p>Compiled Field data associated with the study:</p> <p>Flood, Bryan, Mathew Wells, Jonathan D. Midwood, Jill Brooks, Yulong Kuai, and Jingzhi Li. "Intense variability of dissolved oxygen and temperature in the internal swash zone of Hamilton Harbour, Lake Ontario." <em>Inland Waters</em> (2021): 1-18.</p> <p>Data is organized by field year, and data type. Metadata is included.</p>
Long-term changes in Wolf Lake (Sudbury region, Ontario) situated in Mi’iangan Zaagagan Preserve: a proposed Indigenous conservation area
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Data on zooplankton species and lake environments from 29 lakes in southern Ontario, Canada
<p>The data published here were used to determine temporal variability in the drivers of zooplankton community composition, and to identify associations between individual species and different environmental metrics. Here, we provide two datasets, which are used in the paper by Sinclair et al. titled: "Consistent and transient drivers of freshwater zooplankton communities". Each dataset is provided as a separate tab in a single Excel spreadsheet. The "Info" tab provides more detail on each. The first dataset ("Zooplankton community") provides the total abundance of each adult zooplankton species detected across 29 lakes from southern Ontario, Canada in 2013, 2014, 2015, and 2016. The second dataset ("Lake environments") contains information on the depth, area, and water chemistry of each sampled lake in each year. Collection methods and dates are detailed in the associated article and variable descriptions and units are included in the "Info" tab.</p>
Data from: Comparison of diets for largemouth and smallmouth bass in Eastern Lake Ontario using DNA barcoding and stable isotope analysis
Largemouth (LMB: Micropterus salmoides) and Smallmouth Bass (SMB: Micropterus dolomieu) are important species in the recreational fisheries of the Laurentian Great Lakes. The invasion of the Round Goby (Neogobius melanostomus) into these lakes has changed several facets of black bass biology, but there is still much to learn about the relationship between these species. Previous dietary analyses have shown Round Goby to be important prey for bass, but have been limited by low visual identification rates of dissected stomach items. Within the present study, DNA barcoding and stable isotope analysis improve prey identification and provide a more quantitative dietary analysis of adult black bass in Lake Ontario, comparing the importance of Round Goby as prey between these two species. Eighty-four LMB (406mm fork length ±4mm SEM) and two hundred sixty-four SMB (422mm ±2mm) obtained as tournament mortalities had prey identified using DNA-based methods. Round Goby was the most prevalent prey species for both predators. The diet of LMB was three times more diverse than that of SMB, which almost entirely consists of Round Goby. Our results provide further support that recent increases in the size of Lake Ontario bass are a result of Round Goby consumption, and that the effects of this dietary shift on body condition are greater for SMB. Techniques developed in this study include: reverse-oriented dual priming oligonucleotides used as blocking primers for predator DNA, and an automated design approach of restriction fragment length polymorphism tests for identifying prey DNA barcodes.
Data from: Tracking the history and ecological changes of rising double-crested cormorant populations using pond sediments from islands in eastern Lake Ontario
In the Laurentian Great Lakes region, the double-crested cormorant (Phalacrocorax auritus) has seen a thousand-fold population increase in recent decades. These large colonies of birds now often conflict with socioeconomic interests, particularly due to perceived competition with fisheries and the destruction of terrestrial vegetation in nesting habitats. Here we use dated sediment cores from ponds on islands in eastern Lake Ontario that receive waste inputs from dense colonies of cormorants and ring-billed gulls (Larus delawarensis) to chronicle the population rise of these species and assess their long-term ecological impacts. Modern water chemistry sampling from these sites reveals drastically elevated nutrient and major ion concentrations compared to reference ponds not influenced by waterbirds. Geochemical tracers in dated sediment cores, particularly δ15N and chlorophyll-a concentrations, track waterbird influences over time. Fossil diatom assemblages were dominated by species tolerant of hyper-eutrophic and polluted systems, which is in marked contrast to assemblages in reference sites. In addition to establishing long-term ecological impacts, this multi-proxy paleoecological approach can be used to determine whether islands of concern have been long-term nesting sites or were only recently colonized by cormorant or ring-billed gull populations across the Great Lakes, facilitating informed management decisions about controversial culling programs.
Subspecies and Distribution. L. c. canadensis Schreber, 1776 — E Canada (Maritime Provinces, Ontario & Quebec), NE USA (Maine through New York) and Great Lakes of USA (Michigan and Wisconsin). L. c. kodiacensis Goldman, 1935 — Alaska (Kodiak and Shuyak Is). L. c. lataxina Cuvier, 1823 — E & SE USA. L. c. mira Goldman, 1935 — S Alaska (Prince of Wales I), SW Canada (Vancouver I). L. c. pacifica Rhoads, 1898 — W USA and W Canada. L. c. periclyzomae Elliot, 1905 — W Canada (Queen Charlotte Is). L. c. sonora Rhoads, 1898 — SW USA (Arizona, California, Colorado, Nevada, New Mexico & Utah). in Mustelidae
Subspecies and Distribution. L. c. canadensis Schreber, 1776 — E Canada (Maritime Provinces, Ontario & Quebec), NE USA (Maine through New York) and Great Lakes of USA (Michigan and Wisconsin). L. c. kodiacensis Goldman, 1935 — Alaska (Kodiak and Shuyak Is). L. c. lataxina Cuvier, 1823 — E & SE USA. L. c. mira Goldman, 1935 — S Alaska (Prince of Wales I), SW Canada (Vancouver I). L. c. pacifica Rhoads, 1898 — W USA and W Canada. L. c. periclyzomae Elliot, 1905 — W Canada (Queen Charlotte Is). L. c. sonora Rhoads, 1898 — SW USA (Arizona, California, Colorado, Nevada, New Mexico & Utah).
Subspecies and Distribution. T. t. taxus Schreber, 1778 — S Canada (Alberta, British Columbia, Manitoba, Ontario & Saskatschewan) and NC USA. T. t. berlandieri Baird, 1858 — N & C Mexico and SC USA (W of the Mississippi River). T. t. jacksoni Schantz, 1946 — NE USA (Great Lakes Region). T. t. jeffersonii Harlan, 1825 — W USA (NW to California). in Mustelidae
Subspecies and Distribution. T. t. taxus Schreber, 1778 — S Canada (Alberta, British Columbia, Manitoba, Ontario & Saskatschewan) and NC USA. T. t. berlandieri Baird, 1858 — N & C Mexico and SC USA (W of the Mississippi River). T. t. jacksoni Schantz, 1946 — NE USA (Great Lakes Region). T. t. jeffersonii Harlan, 1825 — W USA (NW to California).
Subspecies and Distribution. P.m.maniculatusWagner,1845—SManitoba,Ontario,Quebec,andLabrador,Canada. P.m.abietorumBangs,1896—NewBrunswickandNovaScotia,Canada,andMaine, USA. P.m.alpinusCowan,1937—restrictedtoasmallregioninSEBritishColumbia,Canada . P.m.anacapaevonBloeker,1942—knownonlyfromWestAnacapaIandsurroundingIs,California,USA. P.m.angustusHall,1932—knownonlyfromSWpartofVancouverI,BritishColumbia, Canada. P.m.anticostiensisMoulthrop,1937—knownonlyfromthetypelocalityonEAnticostiI,Quebec,Canada. P.m.argentatusCopeland&Church,1906—knownonlyfromthetypelocalityonGrandMananI,NewBrunswick,Canada. P.m.artemisiaeRhoads,1894—fromSCBritishColumbia,Canada,SWtoWWyoming, USA. P.m.assimilisNelson&Goldman,1931—knownonlyfromthetypelocalityonCoronadoIs,BajaCalifornia,Mexico. P.m.austerusBaird,1855—WCWashington,USA. P.m.bairdiiHoy&Kennicott,1857—mostoftheECportionoftheUSA. P.m.balaclavaeMcCabe&Cowan,1945—knownonlyfromthetypelocalityonBalaklavaI,BritishColumbia,Canada. P.m.blandusOsgood,1904—SCUSAStoSanLuisPotosi,Guanajauto,andJalisco, Mexico. P.m.borealisMearns,1911—NWCanada. P.m.catalinaeElliot,1903—knownonlyfromSantaCatalinaI,California,USA. P.m.cmenitius|.A.Allen,1898—knownonlyfromthetypelocalityonSanRoqueI, BajaCalifornia,Mexico. P.m.clementisMearns,1896—knownonlyfromSanClementeI,California,USA. P.m.coolidge:Thomas,1898—SBajaCaliforniaandBajaCaliforniaSur,Mexico. P.m.dorsalisNelson&Goldman,1931—knownonlyfromthetypelocalityonNatividadI,BajaCalifornia,Mexico. P.m.dubiusJ.A.Allen,1898—knownonlyfromthetypelocalityonTodosSantosI, BajaCalifornia,Mexico. P.m.elususNelson&Goldman,1931—knownonlyfromSantaBarabaraandSutilIs, California,USA. P.m.eremusOsgood,1909—knownonlyfromGrindstoneI,Quebec,Canada. P.m.exiguusJ.A.Allen,1898—knownonlyfromSanMartinI,BajaCalifornia,Mexico. P.m.exterusNelson&Goldman,1931—knownonlyfromthetypelocalityonSanNicolasI,California,USA. P.m.fulvusOsgood,1904—fromCPueblaandVeracruzStoCOaxaca,Mexico. P.m.gambeliiBaird,1858—N&WCalifornia,USA,SintoNBajaCalifornia,Mexico. P.m.georgiensisHall,1938—knownonlyfromthetypelocalityonTexadaIandsurroundingIs,BritishColumbia,Canada. P.m.geronimensisJ.A.Allen,1898—knownonlyfromthetypelocalityonSanGeronimoI,BajaCalifornia,Mexico. P.m.gracilisLeConte,1855—OntarioandSQuebec,Canada,S&EtoWisconsin, Michigan,andNEUSA.FP.m.hollister:Osgood,1909—knownonlyfromSanJuanIandsurroundingIs,Washington,USA. P.m.huey:Nelson&Goldman,1932—knownonlyfromthetypelocalityonasmallunnamedIinGonzagaBay,BajaCalifornia,Mexico. P. m. inclarus Goldman, 1939 — known only from Fremont I in Great Salt Lake, Utah, USA. P.m. labecula Elliot, 1903 — from Durango S to Michoacan and Morelos, Mexico. P. m. luteus Osgood, 1905 — from South Dakota S to W Texas, USA. P. m. magdalenae Osgood, 1909 — Magdalena I and surrounding mainland areas, Baja California, Mexico. P.m. margaritae Osgood, 1909 — known only from Margarita I, Baja California, Mexico. Pm. nebrascensis Coues, 1877 — from S Alberta and Saskatchewan, Canada, S to NW Texas, USA. Pm. nubiterrae Rhoads, 1896 — from W New York S to North Carolina, USA. Pm. ozarkiarum Black, 1935 — from NE Oklahoma and SW Missouri S to W Arkansas and NC edge of Texas, USA. P. m. pallescensJ. A. Allen, 1896 — NC to SC Texas, USA. Pm. plumbeus C. F. Jackson, 1939 — E Quebec, Canada. Pm. rubidus Osgood, 1901 — from SW Washington S along the Pacific Coast to C California, USA. P. m. rufinus Merriam, 1890 — from N California S to SC Arizona and New Mexico, USA. P. m. sanctaerosae von Bloeker, 1940 — known only from Santa Rosa I, California, USA. P.m. santacruzae Nelson & Goldman, 1931 — known only from Santa Cruz I, California, USA. Pm. saturatus Bangs, 1897 — known only from Saturna I, British Columbia, Canada. Pm. saxamans McCabe & Cowan, 1945 — known only from Duncan I and surrounding Is, British Columbia, Canada. Pm. serratus Davis, 1939 — restricted to a small region in C Idaho, USA. Pm. sonoriensis Le Conte, 1853 — from SE Oregon and S Idaho, USA, S to N edge of Sonora, Mexico. Pm. streatori Nelson & Goldman, 1931 — known only from San Miguel I and surrounding Is, California, USA. in Cricetidae
Subspecies and Distribution. P.m.maniculatusWagner,1845—SManitoba,Ontario,Quebec,andLabrador,Canada. P.m.abietorumBangs,1896—NewBrunswickandNovaScotia,Canada,andMaine, USA. P.m.alpinusCowan,1937—restrictedtoasmallregioninSEBritishColumbia,Canada . P.m.anacapaevonBloeker,1942—knownonlyfromWestAnacapaIandsurroundingIs,California,USA. P.m.angustusHall,1932—knownonlyfromSWpartofVancouverI,BritishColumbia, Canada. P.m.anticostiensisMoulthrop,1937—knownonlyfromthetypelocalityonEAnticostiI,Quebec,Canada. P.m.argentatusCopeland&Church,1906—knownonlyfromthetypelocalityonGrandMananI,NewBrunswick,Canada. P.m.artemisiaeRhoads,1894—fromSCBritishColumbia,Canada,SWtoWWyoming, USA. P.m.assimilisNelson&Goldman,1931—knownonlyfromthetypelocalityonCoronadoIs,BajaCalifornia,Mexico. P.m.austerusBaird,1855—WCWashington,USA. P.m.bairdiiHoy&Kennicott,1857—mostoftheECportionoftheUSA. P.m.balaclavaeMcCabe&Cowan,1945—knownonlyfromthetypelocalityonBalaklavaI,BritishColumbia,Canada. P.m.blandusOsgood,1904—SCUSAStoSanLuisPotosi,Guanajauto,andJalisco, Mexico. P.m.borealisMearns,1911—NWCanada. P.m.catalinaeElliot,1903—knownonlyfromSantaCatalinaI,California,USA. P.m.cmenitius|.A.Allen,1898—knownonlyfromthetypelocalityonSanRoqueI, BajaCalifornia,Mexico. P.m.clementisMearns,1896—knownonlyfromSanClementeI,California,USA. P.m.coolidge:Thomas,1898—SBajaCaliforniaandBajaCaliforniaSur,Mexico. P.m.dorsalisNelson&Goldman,1931—knownonlyfromthetypelocalityonNatividadI,BajaCalifornia,Mexico. P.m.dubiusJ.A.Allen,1898—knownonlyfromthetypelocalityonTodosSantosI, BajaCalifornia,Mexico. P.m.elususNelson&Goldman,1931—knownonlyfromSantaBarabaraandSutilIs, California,USA. P.m.eremusOsgood,1909—knownonlyfromGrindstoneI,Quebec,Canada. P.m.exiguusJ.A.Allen,1898—knownonlyfromSanMartinI,BajaCalifornia,Mexico. P.m.exterusNelson&Goldman,1931—knownonlyfromthetypelocalityonSanNicolasI,California,USA. P.m.fulvusOsgood,1904—fromCPueblaandVeracruzStoCOaxaca,Mexico. P.m.gambeliiBaird,1858—N&WCalifornia,USA,SintoNBajaCalifornia,Mexico. P.m.georgiensisHall,1938—knownonlyfromthetypelocalityonTexadaIandsurroundingIs,BritishColumbia,Canada. P.m.geronimensisJ.A.Allen,1898—knownonlyfromthetypelocalityonSanGeronimoI,BajaCalifornia,Mexico. P.m.gracilisLeConte,1855—OntarioandSQuebec,Canada,S&EtoWisconsin, Michigan,andNEUSA.FP.m.hollister:Osgood,1909—knownonlyfromSanJuanIandsurroundingIs,Washington,USA. P.m.huey:Nelson&Goldman,1932—knownonlyfromthetypelocalityonasmallunnamedIinGonzagaBay,BajaCalifornia,Mexico. P. m. inclarus Goldman, 1939 — known only from Fremont I in Great Salt Lake, Utah, USA. P.m. labecula Elliot, 1903 — from Durango S to Michoacan and Morelos, Mexico. P. m. luteus Osgood, 1905 — from South Dakota S to W Texas, USA. P. m. magdalenae Osgood, 1909 — Magdalena I and surrounding mainland areas, Baja California, Mexico. P.m. margaritae Osgood, 1909 — known only from Margarita I, Baja California, Mexico. Pm. nebrascensis Coues, 1877 — from S Alberta and Saskatchewan, Canada, S to NW Texas, USA. Pm. nubiterrae Rhoads, 1896 — from W New York S to North Carolina, USA. Pm. ozarkiarum Black, 1935 — from NE Oklahoma and SW Missouri S to W Arkansas and NC edge of Texas, USA. P. m. pallescensJ. A. Allen, 1896 — NC to SC Texas, USA. Pm. plumbeus C. F. Jackson, 1939 — E Quebec, Canada. Pm. rubidus Osgood, 1901 — from SW Washington S along the Pacific Coast to C California, USA. P. m. rufinus Merriam, 1890 — from N California S to SC Arizona and New Mexico, USA. P. m. sanctaerosae von Bloeker, 1940 — known only from Santa Rosa I, California, USA. P.m. santacruzae Nelson & Goldman, 1931 — known only from Santa Cruz I, California, USA. Pm. saturatus Bangs, 1897 — known only from Saturna I, British Columbia, Canada. Pm. saxamans McCabe & Cowan, 1945 — known only from Duncan I and surrounding Is, British Columbia, Canada. Pm. serratus Davis, 1939 — restricted to a small region in C Idaho, USA. Pm. sonoriensis Le Conte, 1853 — from SE Oregon and S Idaho, USA, S to N edge of Sonora, Mexico. Pm. streatori Nelson & Goldman, 1931 — known only from San Miguel I and surrounding Is, California, USA.
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.