Conserved Domain Database (CDD) is a protein annotation resource that consists of a collection of well-annotated multiple sequence alignment models for ancient domains and full-length proteins.

CDD

## Overview

CDD is a dataset for object detection tasks - it contains CDD annotations for 230 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).

CDD CESM Project (All Data)

## Overview

CDD CESM Project (All Data) is a dataset for object detection tasks - it contains Tumors 4Vn3 annotations for 657 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).

CDD

## Overview

CDD is a dataset for object detection tasks - it contains Damage annotations for 1,910 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 [MIT license](https://creativecommons.org/licenses/MIT).

Users can display, sort, subset and download position-specific score matrices (PSSMs) either from CDD records or from Position Specific Iterated (PSI)-BLAST protein searches.

Graph and download economic data for National Rate: 12 Month CD <100M (NDR12MCD) from Apr 2021 to Jul 2025 about CD, 1-year, deposits, rate, and USA.

The CATH-Gene3D database describes protein families and domain architectures in complete genomes. Protein families are formed using a Markov clustering algorithm, followed by multi-linkage clustering according to sequence identity. Mapping of predicted structure and sequence domains is undertaken using hidden Markov models libraries representing CATH and Pfam domains. CATH-Gene3D is based at University College, London, UK.

SFLD (Structure-Function Linkage Database) is a hierarchical classification of enzymes that relates specific sequence-structure features to specific chemical capabilities.

SMART (a Simple Modular Architecture Research Tool) allows the identification and annotation of genetically mobile domains and the analysis of domain architectures. SMART is based at EMBL, Heidelberg, Germany.

PRINTS is a compendium of protein fingerprints. A fingerprint is a group of conserved motifs used to characterise a protein family or domain. PRINTS is based at the University of Manchester, UK.

SUPERFAMILY is a library of profile hidden Markov models that represent all proteins of known structure. The library is based on the SCOP classification of proteins: each model corresponds to a SCOP domain and aims to represent the entire SCOP superfamily that the domain belongs to. SUPERFAMILY is based at the University of Bristol, UK.

This scenario set of consistent national and global low-carbon development pathways, developed as part of the CD-LINKS project, takes current national policies and the Nationally Determined Contributions (NDCs) as an entry point for short-term climate action, then transitioning to the long-term temperature goals of 1.5 and 2°C as defined by the Paris Agreement. The scenarios explore the complex interplay between climate action and development, while simultaneously taking both global and national perspectives and thereby informing the design of complementary climate-development policies. The CD-LINKS consortium brought together national and global integrated assessment modeling teams from Europe, China, India, Brazil, Russia, Japan and the USA as well as domain experts in the areas of human development, climate adaptation, economics, energy geopolitics, atmospheric chemistry, human health, land use, agriculture, and water.

The data is available for download at the CD-LINKS Scenario Database. The license permits use of the scenario ensemble for scientific research and science communication, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information.

FINAL CDD

## Overview

FINAL CDD is a dataset for object detection tasks - it contains Damage annotations for 1,732 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 [MIT license](https://creativecommons.org/licenses/MIT).

Graph and download economic data for National Rate: 24 Month CD <100M (NDR24MCD) from Apr 2021 to Jul 2025 about CD, 2-year, deposits, rate, and USA.

Graph and download economic data for National Rate: 60 Month CD <100M (NDR60MCD) from Apr 2021 to Jul 2025 about CD, deposits, 5-year, rate, and USA.

Cd Deteksi

## Overview

Cd Deteksi is a dataset for object detection tasks - it contains Kontainer annotations for 2,788 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).

Hons FTuning

## Overview

Hons FTuning is a dataset for classification tasks - it contains Coconut Diseases annotations for 10,779 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).

Graph and download economic data for Treasury Yield: 1 Month CD <100M (TY1MCD) from Apr 2021 to Jul 2025 about CD, 1-month, Treasury, yield, interest rate, interest, rate, and USA.

Graph and download economic data for Treasury Yield: 6 Month CD <100M (TY6MCD) from Apr 2021 to Jul 2025 about CD, 6-month, Treasury, yield, interest rate, interest, rate, and USA.