{{description}}

ODP Custom Object Detection

## Overview

ODP Custom Object Detection is a dataset for object detection tasks - it contains ODP annotations for 359 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This data set depicts Oregon state highways that have been identified as tier 1, 2, or 3 seismic lifelines and identifies seismic lifelines for implementation of Policy 1E, Lifeline Routes, in the 1999 Oregon Highway Plan. This is the final work product for the Oregon Seismic Lifelines Identification project, completed by ODOT Transportation Development Division in May 2012. This shapefile was initially derived from the ODOT shapefiles "high_routes.shp."Additional metadata resouce: https://res1geoportalprod-ordotd-o-tmsappproxyd-o-tnet.vcapture.xyz/geoportal/catalog/main/home.page

This is a multi-year report of Oregon Department of Transportation (ODOT) highway construction contracts. This information is not available in the ORPIN (Oregon Procurement Information Network) system. Visit the Oregon Transparency website for more information: https://www.oregon.gov/transparency/Pages/index.aspx.

The stratigraphic distribution of deep-water agglutinated foraminifers was examined using 50 samples from Ocean Drilling Program (ODP) Hole 985A, drilled on the gentle slope of the Iceland Plateau in the Norwegian Basin. A total of 40 species and generic groupings was determined in this study. Three stratigraphically meaningful assemblages are recognized in Hole 985A: a basal assemblage with coarsely agglutinated forms (Cores 162-985A-62X through 50X), a Spirosigmoilinella compressa assemblage (Cores 162-985A-49X through 40X), and a sparse assemblage with pyritized radiolarians in the uppermost part of the studied interval (Cores 162-985A-39X through 32X). The whole succession from the base of Hole 985A to Core 162-985A-32X is here assigned to the Dorothia siegliei-Rotaliatina bulimoides Zone of Oligocene age. The stratigraphic ranges of several species extended into younger strata compared with biostratigraphic records from the Vøring Slope (ODP Hole 643A) and from an exploration well on the Vøring Plateau. Taxonomic differences between the foraminiferal records of the Norwegian Sea and the deep Labrador Sea provide evidence for faunal isolation of the deep Norwegian basin during the Oligocene. This isolation is attributed to limited marine connections across the Greenland-Scotland Ridge, resulting in Norwegian Sea deep water that was corrosive and poorly ventilated. Foraminiferal evidence suggests that Norwegian Sea deep water was poorly oxygenated during the Oligocene.

These Excel files contain all of the elemental, isotopic, export productivity, and SST data for ODP sites 1208 and 885/886 associated with Abell et al., "Poleward and weakened westerlies during Pliocene warmth". **Please use updated excel file V4 found in Version 9 of this figshare file.

Please cite: Abell et al., (2021) Nature 589, 70-75. https://doi.org/10.1038/s41586-020-03062-1.

Five new Zn(II)/ODPT/bpe compounds, namely, {[Zn(bpe)(H2O)2](H2ODPT)·3H2O}n (1), {[Zn4(ODPT)2(bpe)3(H2O)2]2(bpe)·7H2O}n (2), {[Zn2(ODPT)(bpe)2]2·7H2O}n (3), {Zn4(ODPT)2(bpe)}n (4), and {Zn2(ODPT)(bpe)(H2O)2}n (5) (ODPT = 4,4′-oxidiphthalate, bpe =1,2-bis(4-pyridyl)ethane), have been synthesized through a hydrothermal method under different pH conditions, and characterized by single-crystal X-ray diffraction, element analysis, infrared spectra (IR), and thermogravimetric (TG) analyses. Compound 1 shows a 3D network framework constructed by the 1D linear [Zn(bpe)(H2O)4]n2+ cationic chains through extensive hydrogen-bonding. Compound 2 displays an unusual three-dimensional (3D) meso-racemic self-penetrating coordination network with distinct chiral information in the interpenetrating networks. Compound 3 features a novel 4-connected (4·62·83)(42·62·82) topology, also exhibiting an intriguing 3D self-penetrating structure formed by triple- and double-stranded helical chain motifs. Compounds 4 and 5 are based upon 3D pillared-layer frameworks constructed from Zn2+ and ODPT4‑, and further consolidated by the bpe ligands as molecular pillars. The most striking feature of 5 is that achiral ODPT4– ligands link the Zn cations into right-handed 21 helical chains, and the chiral information is transferred to the 3D framework with a chiral space group C2221. The diversity of the product structures illustrates the marked sensitivity of the coordination chemistry of the V-shaped multicarboxylate ligand (H4ODPT) to the pH value of the solution. Moreover, the thermal dynamic properties and fluorescent properties of all compounds are also investigated.

Two coordination polymers constructed from two structurally related ligands, 4,4′-bis(imidazol-1-ylmethyl)benzene (L1) and 4,4′-bis(imidazol-1-ylmethyl)bibenzene (L2) have been synthesized, [Zn2(ODPT)(L1)]·3H2O (1) and Zn2(ODPT)(L2)2, where H4ODPT is 4,4′-oxidiphthalic acid. Their structures have been determined by single crystal X-ray diffraction analyses. In 1, two kinds of L1 ligands coordinate to chiral centers Zn(II) cations to form two types of zigzag chains, which entwine each other to generate the snakelike chains. The phthalic groups from ODPT4− ligands link Zn(II) cations to form a right-handed 21 helical chain. This helical chain and the entwined snakelike chains entangle together to form a chiral subunit by co-ZnII cations. Then, intramolecular oxygen atoms from ODPT4− ligands bridge these subunits to extend a chiral three-dimensional framework with (52·84)(53·62·7)2 topology. In 2, Zn(II) cations are connected by ODPT4− anions and one kind of L2 ligand to form a double helical chain, which is linked by other helical chain constructed by other kind of L2 ligand and Zn(II) cation to generate a 3D framework. Two kinds of networks showing opposite helical units interpenetrate each other giving rise to a 2-fold interpenetrating network with a (3·6·74)(32·72·82)(64·72) topology. By careful inspections of two structures, we find that Zn(II) cations, the ODPT4− anions, and N-donor ligands show the same coordination modes or analogous configurations. Compound 1 is a chiral structure, and 2 is an achiral framework. The compounds are also characterized by elemental analyses, IR spectra, and thermogravimetric analyses. In addition, the luminescent properties of these compounds are discussed.

No description is available. Visit https://dataone.org/datasets/9668f56f8d6fa94dabd5b74686983ca6 for complete metadata about this dataset.

The Webis Open Directory Project Corpus 2010 (Webis-ODP-10) is a corpus for the evaluation of cluster labeling algorithms. The corpus contains about 5,000 web pages which are grouped into 4 main categories and 12 subcategories based on the human made Open Directory Project (ODP) classification. The web pages were collected in May 2010.

Oregon Department of Transportation reported traffic incidents across the state of Oregon. Data is updated via script every 5 minutes.Data courtesy of ODOT's TripCheck mapping application. For official data, see https://tripcheck.com.

The revenue of The ODP Corporation with headquarters in the United States amounted to **** billion U.S. dollars in 2024. The reported fiscal year ends on December 28.Compared to the earliest depicted value from 2020 this is a total decrease by approximately **** billion U.S. dollars. The trend from 2020 to 2024 shows, however, that this decrease did not happen continuously.

The ODOT State and U.S. Bike Routes dataset, provided by Ohio’s Department of Transportation (ODOT) through their TIMS REST Services, contains detailed information on state and federal bike routes within Cuyahoga County. This dataset includes route classifications, designations, and geographic details relevant to bike route planning and connectivity. It plays a critical role in transportation planning, supporting efforts to improve bike infrastructure, enhance rider safety, and promote sustainable transportation options across the county and state.Data Sources:ODOT (Ohio Department of Transportation), TIMS REST ServicesUpdate Frequency: As Needed - Live from ODOT

Optimised Danbooru Parsing

An optimised version of DP (Danbooru Parsing). We merged serveral features to keep it simple, also, we convert it to numpy file so that can use np.load() load directly. ODP is an anime face segmentation dataset (either the original DP). It has 11 labels:

ODP Label Id Description DP Label Id

0 Background 0

1 Face 1, 6

2 Eyebrows 2, 3

3 Eyes 4, 5

4 Ears 7, 8, 9

5 Nose 10

6 Mouth 11, 12, 13

7 Neck 14

8 Clothes 15, 16

9 Hair17

10… See the full description on the dataset page: https://huggingface.co/datasets/kigland/odp.

This dataset includes a multimodal assessment of the Cleveland Transportation Network, conducted as part of the Cleveland Moves initiative. It assesses need and comfort levels as we work to improve safety and mobility on Cleveland streets.The Pedestrian Crossing Level of Stress layer was created by our Cleveland Moves consultant, Toole Design. It uses information about the number of lanes, the speed limit, and the presence of a pedestrian island to calculate how stressful a crossing is for someone crossing. These attributes are provided by Ohio and City of Cleveland data about streets and intersections. This data was generated in 2024. The Bicycle Level of Traffic Stress layer was created by our Cleveland Moves consultant, Toole Design. It uses information about the number of lanes, the speed limit, the type of bikeway, and more to calculate the level of stress for someone riding a bicycle on a given street. These attributes are provided by Ohio and City of Cleveland data about streets and intersections. This data was generated in 2024. The ODOT Active Transportation Need layer was created by the Ohio Department of transportation, and uses several factors to determine need including access to a vehicle, poverty rates, and more.Update FrequencyThis dataset will be updated with additional analysis from the Cleveland Moves planning process by early 2025. After that point, it will be updated annually to reflect changes to Cleveland streets geared towards improving safety and mobility. Related ApplicationsA summary of this dataset can be found in the Cleveland Moves Network Assessment Dashboard.Data GlossaryThe ODOT Active Transportation Need dataset was developed by the Ohio Department of Transportation. More information about this dataset is available on their website: https://gis.dot.state.oh.us/tims_classic/Glossary ContactSarah Davis, Active Transportation Senior Plannersdavis2@clevelandohio.gov

This dataset is about: Sample corelog of ODP Hole 162-981A.

The Ocean Drilling Program (ODP) operated the drilling vessel JOIDES Resolution from 1984-2003 for over 100 cruises worldwide. The ODP was funded by the U.S. National Science Foundation and several countries through the Joint Oceanographic Institutions (JOI). In 1992, the National Geophysical Data Center (NGDC) placed most of the core data from legs 101-129 of the ODP onto CDROM in cooperation with NSF and JOI. The data are from an ODP relational database system in place prior to the later, JANUS, system. Not all of the data in this archive were transferred to JANUS, so some data files are unique. In 2001, the CDROM was replaced by a new version with an HTML interface, and also placed online. Data types included are: Age profile, carbon-carbonate, corelog, gas chromatography, gamma ray attenuation porositoy evaluator (GRAPE) special 2-minute counts, hard-rock visual core descriptions, hard-rock thin section descriptions, index properties of sediment, interstitial water chemistry, paleomagnetic susceptibility and intensity, rock evaluator data, sedimentary lithology, site summary, smearslide descriptions, velocity, and x-ray fluorescence data.

Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.

This is a breakdown of fuel usage from the City of Austin by type of fuel consumed

No description is available. Visit https://dataone.org/datasets/12ea204056e96962d1886ed1babff172 for complete metadata about this dataset.