Lefterson/pecp0pv1-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

GDPa1: Antibody developability dataset

Contains the assay data for 242 antibodies across 10 assays as described in our latest preprint, PROPHET-Ab: A high-throughput platform for biophysical antibody developability assessment to enable AI/ML model training.

  Example usage

Using pandas: import pandas as pd

Login using e.g. huggingface-cli login to access this dataset

df = pd.read_csv("hf://datasets/ginkgo-datapoints/GDPa1/GDPa1_v1.2_20250814.csv")

Using Hugging… See the full description on the dataset page: https://huggingface.co/datasets/ginkgo-datapoints/GDPa1.

Dataset

This dataset was created by mdnurhossen

Released under CC0: Public Domain

Contents

ZhaZhaTing-NutriSip Dataset

About Dataset

The ZhaZhaTing-NutriSip Dataset is a comprehensive food and beverage dataset containing 79,653 records and 435 features. It brings together a diverse collection of soups, teas, juices, smoothies, milkshakes, health drinks, detox beverages, and traditional drinks from multiple cuisines around the world.

This dataset was created to support machine learning, data science, nutrition analysis, recommendation systems, business intelligence, and food analytics research. It includes nutritional information, preparation details, cuisine origins, pricing attributes, and many additional engineered features that can be used for predictive modeling and exploratory data analysis.

Key Features

• 79,653 unique food and beverage records
• 435 feature columns
• Global cuisine coverage
• Nutrition and calorie information
• Preparation time and difficulty levels
• Pricing information
• Category and subcategory classifications
• Rich feature set for machine learning applications

Included Categories

• Soups
• Teas
• Juices
• Smoothies
• Milkshakes
• Health Drinks
• Detox Water
• Traditional Beverages

Example Attributes

• Item ID
• Item Name
• Category
• Subcategory
• Cuisine Origin
• Country
• Preparation Time (Minutes)
• Difficulty Level
• Calories Per Serving
• Price (PKR)

Potential Use Cases

Machine Learning

• Food Classification
• Price Prediction
• Calorie Prediction
• Recommendation Systems
• Nutritional Modeling

Data Analysis

• Cuisine Trend Analysis
• Beverage Consumption Studies
• Nutritional Comparisons
• Market and Pricing Analysis

Research & Education

• Food Informatics
• Nutrition Research
• Culinary Analytics
• Data Science Projects
• Academic Research

Data Source

The dataset was compiled, curated, and enriched using food-related information from multiple public references, nutritional resources, culinary data sources, and feature engineering techniques. Some records may include synthetic or generated entries created for educational, analytical, and machine learning purposes.

License

Apache License 2.0

Verified caffeine content for 40+ drinks with serving sizes and per-entry source citations (USDA FoodData Central, published menu data). Updated as sources change.

Ayakkabı New

## Overview

Ayakkabı New is a dataset for object detection tasks - it contains Ayakkabi annotations for 3,594 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).

Addv2_v1

## Overview

Addv2_v1 is a dataset for object detection tasks - it contains Can Foam Plastic Plasticbottle U YgPQ annotations for 1,461 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).

The Primally Pure dataset provides structured data from Primally Pure's platform, covering url, item_id, variant_id, title, description, product_category, category_tree, brand. Use cases include competitive analysis, market research, and data enrichment.

The Aurora Multi-Sensor Dataset is an open, large-scale multi-sensor dataset with highly accurate localization ground truth, captured between January 2017 and February 2018 in the metropolitan area of Pittsburgh, PA, USA by Aurora (via Uber ATG) in collaboration with the University of Toronto. The de-identified dataset contains rich metadata, such as weather and semantic segmentation, and spans all four seasons, rain, snow, overcast and sunny days, different times of day, and a variety of traffic conditions.
The Aurora Multi-Sensor Dataset contains data from a 64-beam Velodyne HDL-64E LiDAR sensor and seven 1920x1200-pixel resolution cameras including a forward-facing stereo pair and five wide-angle lenses covering a 360-degree view around the vehicle.
This data can be used to develop and evaluate large-scale long-term approaches to autonomous vehicle localization. Its size and diversity make it suitable for a wide range of research areas such as 3D reconstruction, virtual tourism, HD map construction, and map compression, among others.
The data was first presented at the International Conference on Intelligent Robots and Systems (IROS) in 2020, where it was nominated as a Finalist for Best Application Paper at the conference.

This data set contains a summary of information about candidate campaigns and political committees by election year. For candidate campaigns and single-year/election committees, a single record is provided that covers all activity of the campaign for the given election year. Information for continuing political committees is summarized by calendar/reporting year. The data set covers that prior 16 years plus the current election year. The data are compiled from the campaign reports deposit (C3), campaign summary reports (C4), campaign registrations (C1/C1pc) and candidate declarations and elections data provided to the PDC by the Washington Secretary of State. Records are updated in near real-time, typically less than 2 minutes from the time the campaign submits new data.

This dataset is a best-effort by the PDC to provide a complete set of records as described herewith. The PDC provides access to the original reports for the purpose of record verification.

Descriptions attached to this dataset do not constitute legal definitions; please consult RCW 42.17A and WAC Title 390 for legal definitions and additional information regarding political finance disclosure requirements.

CONDITION OF RELEASE: This publication and or referenced documents constitutes a list of individuals prepared by the Washington State Public Disclosure Commission and may not be used for commercial purposes. This list is provided on the condition and with the understanding that the persons receiving it agree to this statutorily imposed limitation on its use. See RCW 42.56.070(9) and AGO 1975 No. 15.

The database represents delineations of known aspen stands, where aspen assessments were gathered in the Eldorado National Forest, Eldorado and Amador Counties, California. Aspen assessment information corresponding to this polygon layer can be found in the layer: ELDORADO_NF_POLY. Data was gathered during the summers of 1999-2001. Assessments were conducted primarily by volunteers for the USDA Forest Service. Assessments were conducted within known aspen stands in the region, or stands identified during field surveys. The survey method was not intended to capture all known aspen sites in this region, and so this data does not represent a comprehensive map of aspen stands in the region. Aspen stands were assessed using a protocol developed by the Eldorado National Forest. Basic Information gathered included location and vegetative characteristics, and if browsing of the aspen was present or absent. Associated with this polygon layer is a point layer (ELDORADO_NF_PTS) containing aspen stand assessments conducted in conjunction with the aspen stand delineations. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.

The application of Artificial Intelligence (AI) has been evident in the agricultural sector recently. The main goal of AI in agriculture is to improve crop yield, control crop pests/diseases, and reduce cost. The agricultural sector in developing countries faces severe in the form of disease and pest infestation, the knowledge gap between farmers and technology, and a lack of storage facilities, among others. To help address some of these challenges, this work presents crop pests/disease datasets sourced from local farms in Ghana. The dataset is presented in two folds; the raw images which consists of 24,881 images ( 6,549-Cashew, 7,508-Cassava, 5,389-Maize, and 5,435-Tomato) and augmented images which is further split into train and test set consists of 102,976 images (25,811-Cashew, 26,330-Cassava, 23,657-Maize, and 27,178-Tomato), categorized into 22 classes. All images are de-identified, validated by expert plant virologists, and freely available for use by the research community.

CodeXBT/kairos-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset provides national scale location information for known, publicly available, data on helium gas concentrations, reported in mol%. The dataset was created as part of the effort by the United States Geological Survey (USGS) to conduct an assessment of helium resources in accordance with the Helium Stewardship Act of 2013, Public Law 113-40. The data were collected from the USGS Energy Geochemistry Database, Bureau of Land Management (BLM) databases, State geological survey databases, and a thorough review of the published literature. This dataset represents an aggregation of multiple datasets into one unified, cohesive system that has a number of attributes for use in a resource assessment and for dissemination to the public.

This dataset contains the digitized treatments in Plazi based on the original journal article Hunt, Robert M. (2011): Evolution Of Large Carnivores During The Mid-Cenozoic Of North America: The Temnocyonine Radiation (Mammalia, Amphicyonidae). Bulletin of the American Museum of Natural History 2011 (358): 1-153, DOI: 10.1206/358.1, URL: http://www.bioone.org/doi/abs/10.1206/358.1

ABSTRACT

This study describes and summarizes the Temnocyoninae (Mammalia, Carnivora), a subfamily of amphicyonid carnivores of considerable diversity and singular ecomorphology within Cenozoic faunas of North America. In temnocyonines, we see the first carnivorans to occupy an ecological niche as large cursorial predators. The subfamily is confined to the Arikareean NALMA, ranging in age from the latest early Oligocene to the early Miocene. Distributed from the Pacific Northwest to the Great Plains and Florida, there are four genera (Temnocyon, Mammacyon, Delotrochanter n. gen., Rudiocyon n. gen.) and 12 species, of which eight are newly described (Temnocyon subferox, T. fingeruti, T. macrogenys; Rudiocyon amplidens; Mammacyon ferocior; Delotrochanter petersoni, D. oryktes, D. major). Among the specimens examined are eight skulls, three with intact basicranial morphology that establish the presence of a plesiomorphic arctoid auditory region in the subfamily. Temnocyonine dentitions and postcranial skeletons reveal a blend of morphological characteristics not previously nor subsequently seen among the Carnivora. From a stem species, Temnocyon altigenis, there evolve both large hypercarnivorous (Temnocyon) and durophagous forms (Mammacyon, Delotrochanter); these genera share a derived dentition that defines the Temnocyoninae. Delotrochanter oryktes n. sp., an early Miocene species, was found in a den, suggesting a possible burrowing capability and sheltering of offspring.

The John Day basin of Oregon and the central Great Plains (western Nebraska, southeast Wyoming) are the source of most temnocyonine fossils; a few have been found in southern California and Florida, indicative of a continent-wide distribution. Temnocyonines have often been confused with canids, however their basicranial anatomy places them securely within the Amphicyonidae. First discovered in the 1870s, only, 30 individuals comprise the entire record of the subfamily. Many were found in proximity to radioisotopically calibrated tuffs and ignimbrites and/or were closely associated with mammals of established biochronologic age. Thus, most species can be placed in a temporal context. With rare exception, the fossils represent isolated occurrences, hence estimates of variation within a population are lacking.

Cursorial postcranial features characterize several lineages (Mammacyon, Delotrochanter) and probably were present in other temnocyonines known only from dental remains. Late Oligocene Mammacyon ferocior and early Miocene Delotrochanter oryktes evolved uniquely configured crushing cheek teeth and cursorial limbs, combining distinctive dental and skeletal traits in a manner not seen in any living carnivore. These species are interpreted as large durophagous predators with craniodental characteristics that parallel living hyaenids (Crocuta crocuta) and postcranial adaptations approaching those of cursorial canids such as the wolf (Canis lupus). Expansion of semiarid grasslands and savanna during the late Oligocene and early Miocene in the central Great Plains seems to have favored the evolution of these wide-ranging durophagous amphicyonid carnivores.

Analysis of the jaws of temnocyonines employing Therrien’s method of beam analysis demonstrates pronounced bending strength focused beneath the crushing dental battery in the molar region. Similarly, the canines and mandibular symphysis manifest an ability to resist strong parasagittal, transverse, and torsional forces occurring during prey capture and feeding.

Temnocyonines share a pronounced similarity in dentition with European haplocyonine beardogs, which doubtless are their sister group among the Amphicyonidae. Some haplocyonines also show cursorial tendencies. Examination of European material, however, reveals subtle dental distinctions indicating that the evolution of the two subfamilies proceeded separately yet in parallel in Europe and North America.

This dataset contains the digitized treatments in Plazi based on the original journal article Minaei, Kambiz (2013): The Phlaeothrips - lineage of fungus feeding thrips (Thysanoptera: Phlaeothripidae) in Iran with a new species of Hindsiothrips. Zootaxa 3599 (3): 279-290, DOI: 10.11646/zootaxa.3599.3.5

Abstract

Hindsiothrips sisakhti sp. n. is described from leaf litter in Iran, this being the first record of the genus from this country. A key is provided to the seven Phlaeothripinae genera recorded from Iran that are considered members of the Phlaeothrips -lineage, in which most species are fungus feeding: Aleurodothrips, Hindsiothrips, Hoplandrothrips, Hoplothrips, Idiothrips, Phlaeothrips and Stictothrips. Structural variation in the group is discussed briefly, and Idiothrips ficus Bhatti is considered a new synonym of Idiothrips bellus Faure.

Key words: Hindsiothrips sisakhti, Idiothrips, new species, new synonymy, Phlaeothrips lineage

This dataset contains the digitized treatments in Plazi based on the original journal article Nucci, Paulo Ricardo, Melo, Gustavo Augusto Schmidt De (2007): Hermit crabs from Brazil. Family Paguridae (Crustacea: Decapoda: Paguroidea): Genus Pagurus. Zootaxa 1406: 47-59, DOI: 10.5281/zenodo.175515

Abstract

In Brazil, the hermit crab family Paguridae is represented by 11 genera, of which the genus Pagurus is the most speciose, with seven species that occur from the intertidal zone to shallow waters and one from deeper regions. In this paper we present the diagnosis, distribution and some remarks on each species of the genus Pagurus known from Brazil.

Key words: Hermit crabs, Paguridae, Pagurus, Brazil

This dataset contains 2.3 million records of real-world 5G network KPIs collected from a major European operator, including per-cell throughput, latency, packet loss rate, handover counts, RSRP/RSRQ measurements, and PRB utilization over a 6-month period. We use this dataset to train the FSSE state estimator and to populate the network environment simulator.

A subset of the full dataset demonstrating data structure, geospatial precision, and column headers.

A subset of the full dataset demonstrating data structure, geospatial precision, and column headers.