Timeseries data from '102 - Point Dume, CA' (edu_ucsd_cdip_102) _NCProperties=version=2,netcdf=4.7.4,hdf5=1.10.6 cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=None,feedback@axiomdatascience.com contributor_name=U.S. Army Corps of Engineers (USACE),Axiom Data Science contributor_role=sponsor,processor contributor_role_vocabulary=NERC contributor_url=http://www.usace.army.mil/,https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3 defaultDataQuery=sea_surface_wave_from_direction,sea_surface_wave_mean_period_qc_agg,sea_water_temperature,sea_water_temperature_qc_agg,sea_surface_wave_period_at_variance_spectral_density_maximum,z,time,sea_surface_wave_period_at_variance_spectral_density_maximum_qc_agg,sea_surface_wave_significant_height,sea_surface_wave_from_direction_qc_agg,sea_surface_wave_mean_period,sea_surface_wave_significant_height_qc_agg&time>=max(time)-3days Easternmost_Easting=-119.0 featureType=TimeSeries geospatial_lat_max=33.979167 geospatial_lat_min=33.979167 geospatial_lat_units=degrees_north geospatial_lon_max=-119.0 geospatial_lon_min=-119.0 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Coastal Data Information Program (CDIP) at https://cdip.ucsd.edu/themes/cdip?pb=1&u2=s:102:st:1&d2=p9 id=103421 infoUrl=https://sensors.ioos.us/#metadata/103421/station institution=Coastal Data Information Program (CDIP) naming_authority=com.axiomdatascience Northernmost_Northing=33.979167 platform=buoy platform_name=102 - Point Dume, CA platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://cdip.ucsd.edu/themes/cdip?pb=1&u2=s:102:st:1&d2=p9,https://cdip.ucsd.edu/themes/cdip?pb=1&u2=s:102:st:1&d2=p9,https://cdip.ucsd.edu/m/documents/data_processing.html#quality-control sourceUrl=https://cdip.ucsd.edu/themes/cdip?pb=1&u2=s:102:st:1&d2=p9 Southernmost_Northing=33.979167 standard_name_vocabulary=CF Standard Name Table v72 station_id=103421 time_coverage_end=2004-06-02T15:59:23Z time_coverage_start=2001-06-05T17:11:37Z Westernmost_Easting=-119.0

Timeseries data from 'Glenn Highway @ S Curves MP 10' (alaska-dot-rwis-6)

Annual new registrations for VOLKSWAGEN vehicles in the United Kingdom, derived from DVLA data as presented on HowRareIsMyCar.co.uk.

Miaoli County's 102-year regional tax donation agency statistics table (csv format)

102

## Overview

102 is a dataset for object detection tasks - it contains Snack annotations for 633 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).

Oxford 102 flower dataset is a 102 category dataset, consisting of 102 flower categories. The flowers chosen to be flower commonly occuring in the United Kingdom. Each class consists of between 40 and 258 images. The details of the categories and the number of images for each class can be found on this category statistics page.

The images have large scale, pose and light variations. In addition, there are categories that have large variations within the category and several very similar categories. The dataset is visualized using isomap with shape and colour features.

Local Law 102 enacted in 2015 requires the Department of Education of the New York City School District to submit to the Council an annual report concerning physical education for the prior school year. This report provides information about the provision of physical education instruction, including the average PE class size, average frequency and average total minutes per week of physical education as defined in Local Law 102, adapted PE and the granting of PE substitutions, as reported through the STARS database for the 2019-20 school year. It is important to note that schools self-report their scheduling information in STARS. Furthermore, with the shift to remote learning in March 2020, NYSED waived instructional seat time requirements for the remainder of the 2019-20 school year. As a result, PE instruction data is reported for all grade levels as of the midyear of the 2019-20 school year.

The purpose of this study is to evaluate the efficacy of S 95005 in patients with metastatic colorectal cancer (mCRC) who are refractory or intolerant to standard chemotherapies in terms of Progression-Free Survival rate at 2 months in the Russian population.

The Oxford Flowers 102 dataset is a fine-grained classification dataset created by the Visual Geometry Group at the University of Oxford, specifically designed to challenge and test image classification models. This dataset contains 8,189 images of 102 flower species, with each class representing a unique species ranging from common varieties like sunflowers and roses to more exotic blooms.

Dataset Context and Sources Source: The dataset was developed by the University of Oxford for research on computer vision and machine learning, providing a well-labeled collection of flower images. The dataset's variable conditions (lighting, background, orientation) make it ideal for evaluating models' robustness in real-world scenarios. Purpose: The goal is to offer a resource for training and evaluating image classification algorithms, especially in fine-grained classification, where the visual differences between categories are subtle. This has made it a popular choice for experimenting with transfer learning models like VGG16, ResNet, and EfficientNet. Why This Dataset? With an uneven distribution of images per class, the Oxford Flowers 102 dataset presents a unique challenge for machine learning practitioners aiming to optimize classification accuracy across categories with varying representation. Its high-quality images and multi-class structure have made it a go-to dataset for benchmarking model performance in image classification and fine-tuning pre-trained networks.

This dataset is ideal for researchers, students, and data scientists looking to build and test models for:

Fine-grained classification of natural objects Transfer learning and model fine-tuning Evaluating model performance on imbalanced data

general transcription factor IIIC subunit 3 Predicted to act upstream of or within transcription by RNA polymerase III. Orthologous to human GTF3C3 (general transcription factor IIIC subunit 3). RNA polymerase III transcription factor https://www.xenbase.org/gene/showgene.do?method=display&geneId=1217328

Market Research Intellect's FK 102 Co(III) TFSI Salt Market Report highlights a valuation of USD 150 million in 2024 and anticipates growth to USD 300 million by 2033, with a CAGR of 8.5% from 2026-2033.Explore insights on demand dynamics, innovation pipelines, and competitive landscapes.

Credit report of Grupo Plater S Saccalle Madrid 102 contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Get key insights on Market Research Intellect's FK 102 Co(II) TFSI Salt Market Report: valued at USD 45 million in 2024, set to grow steadily to USD 85 million by 2033, recording a CAGR of 8.1%.Examine opportunities driven by end-user demand, R&D progress, and competitive strategies.

Credit report of Vriesoord Trucks Bv Larenweg 102 5234 Kc S-hertogenbosc211-28372 contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Get key insights on Market Research Intellect's FK 102 Co (III) TFSI Salt Market Report: valued at USD 150 million in 2024, set to grow steadily to USD 250 million by 2033, recording a CAGR of 7.5%.Examine opportunities driven by end-user demand, R&D progress, and competitive strategies.

Westafricafood 102

## Overview

Westafricafood 102 is a dataset for object detection tasks - it contains Food annotations for 677 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 [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Epidemiological and immunological data of 102 individuals at enrollment.

L.'s 102-1 & 102-2

Taichung City Police Department's December 102 Traffic Accident Data File

Dendrochronological research project