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205 results for “ohio”
Data from: Camerate and disparid crinoids from the late Kinderhookian Meadville Shale, Cuyahoga Formation of Ohio
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Species diagnosis tables for: Crinoids from the Wooster Shale Member of the Cuyahoga Formation, Carboniferous (Mississippian, Tournaisian) of Northeastern Ohio
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Data from: Abundance and extinction in Ordovician-Silurian brachiopods, Cincinnati Arch, Ohio and Kentucky
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Supplementary data for: A Silurian (Homerian) pelmatozoan echinoderm fauna from west-central Ohio
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Ohio Miami University reservoir water chemistry and foodweb data 1992-2010
This research examines how landscapes (watersheds) and food webs interact to regulate ecosystems, focusing on reservoirs of the Midwest USA. This research is collaborative with two other Miami faculty, María González and Bill Renwick, and many students. We are examining how watersheds and omnivorous fish influence lakes along a gradient of watershed land use, ranging from mostly forested watersheds to those that are nearly entirely agricultural. Data provided by Mike/Maria include dissolved nutrients, suspended sediments, DOC, temperature/oxygen profiles, and water clarity from 1992-2010 with frequency and duration of sampling varying among reservoirs. sampling was typically conducted at two sites: (a) a shallow ‘inflow’ cite at the upstream area of a reservoir where the inflowing lotic system is transitioning to a more lentic one, and a deeper ‘outflow’ site just upstream of the dam. Most samples for water chemistry analysis were collected with integrated samplers from the euphotic zone or epilimnion (which usually are the same for these lakes - Vanni comment). For most of our sampling (all the Acton sampling and other sampling done by MU), we measured the depth of the eophotic zone using a light meter (z_eup = depth where light = 1% of surface light). When the ODW collected samples, they did not have a light meter so we used the epilimnopn, which we defined as any depth where oxygen was > 2 mg/L. As I mentioned, because our lakes are pretty productive, oxygen concentrations are usually driven by phytoplankton production so the eiphotic and epilimnetic depths are the same. For some things, we take replicate integrated samples, and we run duplicates on both of those, for a total of 4 values. For example, for chlorophyll we take two samples (two bottles) and run duplicates on both and we label the samples 1a,1b,2a,2b. ….the data we sent you are always means of those values….’.
Substance Use Disorder Treatment Deserts in Southwestern Ohio, USA
<p>The opioid crisis is one of the most pressing public health issues facing Ohio, with an impact unevenly distributed across the state. The term “desert” has been applied to discuss geographical areas with limited access to goods and services (e.g. food desert). This work examined geographical barriers to substance abuse disorder (SUD) treatment, and explored the existence of SUD treatment deserts in Southwestern Ohio.</p> <p>The study domain included the 13 counties in Ohio Mental Health and Addiction Service’s Cincinnati region: Adams, Butler, Brown, Clermont, Clinton, Fayette, Hamilton, Highland, Lawrence, Pike, Ross, Scioto, and Warren. Publicly available substance abuse treatment data was collected from government agency resources, pharmaceutical websites, and web searches between August 2019 and February 2020. Treatment deserts were defined as areas in the 13-county study area that were not within a 15 minute drive from a treatment center.</p> <p>The four geopackage (*.gpkg) files are spatial data files that represent polygonal areas considered to be treatment deserts for the three types of treatments (Naltrexone/Buprenorphine, Methadone, and Behavioral) and for any type of treatment.</p>
Data from: A new dissorophoid temnospondyl from the Allegheny Group (Late Westphalian, Carboniferous) of Five Points, Mahoning County, Ohio (USA)
<p>A small temnospondyl skull from the Upper Carboniferous Allegheny Group of Five Points, Ohio, is referred to a new dissorophoid, <i>Palodromeus bairdi</i> n. gen n. sp. The complete skull with mandibles is preserved in counterparts. It is characterized by (1) elongated slit-like choana, (2) postfrontal, postorbital, and supratemporal bearing a distinct ridge, and (3) reduced parietal only two-thirds the length of the frontal. Phylogenetic analysis confirms a dichotomy between amphibamiforms and olsoniforms and places <i>Palodromeus bairdi</i> at the base of the olsoniforms, revealing an early stage in the evolution of that clade.</p>
FIGURE 2. Crystallaria cincotta, 75 in Crystallaria cincotta, a new species of darter (Teleostei: Percidae) from the Elk River of the Ohio River drainage, West Virginia
FIGURE 2. Crystallaria cincotta, 75 mm SL male, Elk River, West Virginia.
FIGURE 1 in Crystallaria cincotta, a new species of darter (Teleostei: Percidae) from the Elk River of the Ohio River drainage, West Virginia
FIGURE 1. Box truss network of 23 distances used in morphometric analysis of Crystallaria.
Ohio Synthetic Ecosystem
Ohio synthetic population dataset consisting of tables for persons, households, schools, and workplaces. This dataset was created by the SPEW program from 2010 ACS SF 5-Year counts; 2010 US TIGER Roads; ACS PUMS 1-Year micro data; 2013 and 2011 NCES schools; and 2009 ESRI workplaces.
Fig. 2 in Aquatic Beetles in the Ravenna Training and Logistics Site of Northeastern Ohio
Fig. 2. Species – area plot for RTLS site. Numbers next to points refer to the watershed
Fig. 1 in Aquatic Beetles in the Ravenna Training and Logistics Site of Northeastern Ohio
Fig. 1. Map of RTLS showing facility boundary, major roads, the four named creeks,
Measurements in flowing freshwater ecosystems taken in Ohio (US)
<p>Knowledge of ecological responses to changes in the environment is vital to design appropriate measures for conserving biodiversity. Experimental studies are the standard to identify ecological cause-effect relationships, but their results do not necessarily translate to field situations. Deriving ecological cause-effect relationships from observational field data is, however, challenging due to potential confounding influences of unmeasured variables. Here, we present a causal discovery algorithm designed to reveal ecological relationships in rivers and streams from observational data. Our algorithm (a) takes into account the spatial structure of the river network, (b) reveals the complete network of ecological relationships, and (c) shows the directions of these relationships. We apply our algorithm to data collected in the US state of Ohio to better understand causes of reductions in fish and invertebrate community integrity. We found that nitrogen is a key variable underlying fish and invertebrate community integrity in Ohio, likely negatively impacting both. We also found that fish and community integrity are each linked to one physical habitat quality variable. Our algorithm further revealed a split between physical habitat quality and water quality variables, indicating that causal relations between these groups of variables are likely absent. Our approach is able to reveal networks of ecological relationships in rivers and streams based on observational data, without the need to formulate a priori hypotheses. This is an asset particularly for diagnostic assessments of the ecological state and potential causes of biodiversity impairment in rivers and streams.</p>
FIGURE 6 in Description of a new species of crayfish in the genus Faxonius (Decapoda: Cambaridae) from the Lower Ohio River Drainage, with evidence of glacial influence on the distribution of some crayfish species throughout the Ohio River basin
FIGURE 6. Dorsal view of MI holotype of Faxonius elix n. sp. Photograph by Price Sewell.
Dataset: Park-Ohio Holdings Corp. (PKOH) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
FIGURE 1. A and B in Mortality of a Baltimore Oriole (Icterus galbula) from Entanglement in Fishing Line in Ohio, with a Compilation of Oriole and Other Avian Entanglement Records Involving Fishing Lines
FIGURE 1. A and B) An adult Baltimore Oriole (Icterus galbula) entangled in monofilament fishing line and hanging from a branch of a slippery elm (Ulmus rubra) along a channel off Grand Lake St. Marys reservoir, Auglaize Co., Ohio, 1 June 2013. C) The same oriole on the ground after being removed from the tree. Photos by W.J. Poly.
Linked collectors and determiners for: Ohio State University Fish Division (OSUM).
Natural history specimen data linked to collectors and determiners held within, "Ohio State University Fish Division (OSUM)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/813b435e-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/813b435e-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/813b435e-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/813b435e-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Ohio State University Herbarium - Lichens.
Natural history specimen data linked to collectors and determiners held within, "Ohio State University Herbarium - Lichens". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/cfc8ccf2-2b63-4edd-9d92-8761c50f8f03">https://bionomia.net/dataset/cfc8ccf2-2b63-4edd-9d92-8761c50f8f03</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/cfc8ccf2-2b63-4edd-9d92-8761c50f8f03">https://gbif.org/dataset/cfc8ccf2-2b63-4edd-9d92-8761c50f8f03</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Ohio Wesleyan University Reptile Specimens (Arctos).
Natural history specimen data linked to collectors and determiners held within, "Ohio Wesleyan University Reptile Specimens (Arctos)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a28138cb-d42a-460d-b16d-8ed2f911022f">https://bionomia.net/dataset/a28138cb-d42a-460d-b16d-8ed2f911022f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a28138cb-d42a-460d-b16d-8ed2f911022f">https://gbif.org/dataset/a28138cb-d42a-460d-b16d-8ed2f911022f</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Ohio Wesleyan University Mammal Specimens (Arctos).
Natural history specimen data linked to collectors and determiners held within, "Ohio Wesleyan University Mammal Specimens (Arctos)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7f9b9e18-e266-4bc0-ac29-37b86c5fc24f">https://bionomia.net/dataset/7f9b9e18-e266-4bc0-ac29-37b86c5fc24f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7f9b9e18-e266-4bc0-ac29-37b86c5fc24f">https://gbif.org/dataset/7f9b9e18-e266-4bc0-ac29-37b86c5fc24f</a>. Formatted as a Frictionless Data package.
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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.