The HDX repository, where data providers can upload their raw data spreadsheets for others to find and use. HDX analytics, a database of high-value data that can be compared across countries and crises, with tools for analysis and visualisation. Standards to help share humanitarian data through the use of a consensus Humanitarian Exchange Language. We are designing the HDX system with the following principles in mind: HDX will aggregate data that already exists. We are not working on primary data collection or the creation of new indicators. HDX will provide technical support for (a) sharing any data, and (b) allowing data providers to decide not to share some data for privacy, security or ethical reasons. Read our Terms of Service. As selected high-value data moves from the dataset repository into the curated analytic database, we will take it through a quality-review process to ensure that it is sourced, trusted, and can be combined and compared with data from other sources. HDX will use open-source, open content, and open data as often as possible to reduce costs and in the spirit of transparency. We are using an open-source software called CKAN for the dataset repository. We partner with ScraperWiki for data transformation and operations support. You can find all of our code on GitHub. The plan for 2014 is to create a place where users can easily find humanitarian data and understand the data's source, collection methodology, and license for reuse. We will be working with three countries - Colombia, Kenya(for Eastern Africa) and Yemen - to introduce the platform to partners and to integrate local systems. Our initial public beta will allow users to find and share data through the HDX repository. We will continue to build on this foundation into 2015, eventually adding functionality for data visualization and custom analytics. The HDX project is ambitious, but it presents an excellent opportunity to change the way humanitarians share, access and use data, with positive implications for those who need assistance. We want to ensure that users are at the centre of our design process, so please join the conversation on our blog, follow us on twitter and send us feedback.

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

The data show the number of COVID-19 vaccination doses administered per 100 people within a given population. Note that this does not measure the total number of people that have been vaccinated (which is usually two doses). The Humanitarian Data Exchange (HDX) is an open data sharing platform managed by the United Nations Office for the Coordination of Humanitarian Affairs. The HDX organization is managed by the HDX data team and is used to share data on behalf of a number of partners

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

Warnings typically indicate corrections have been made to the data or show things to look out for. Rows with only warnings are considered complete, and are made available via the API. Errors usually mean that the data is incomplete or unusable. Rows with any errors are not present in the API but are included here for transparency.

The spreadsheet file reported herein provides centroid data, descriptive of deuterium uptake, for the Fab Fragment of NISTmAb (PDB: 5K8A) reference material, as measured by the bottom-up hydrogen-deuterium exchange mass spectrometry (HDX-MS) method. The protein sample was incubated in deuterium-rich solutions under uniform pH and salt concentrations between 3.6 degrees C and 25.4 degrees C for seven intervals ranging (0 to 14,400) s plus a control sample that simulates a Fab Fragment immersed for infinite time in D2O. The deuterium content of peptic peptide fragments were measured by mass spectrometry. These data were reported by fifteen laboratories, which conducted the measurements using orbitrap and Q-TOF mass spectrometers. The cohort reported about 78,900 centroids for 430 proteolytic peptide sequences of the heavy and light chains of NISTmAb, providing nearly 100 % coverage. The instrumentation and physical and chemical conditions under which these data were acquired are documented.

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

This dataset contains summary statistics about usage of HDX in 2018 (January 1 through December 15) including number of organizations, datasets, users, downloads, and datasets using the Humanitarian eXchange Language standard.

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

This dataset contains a the list of education datasets available on the HDX platform as at 22 March 2018.

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

Amide hydrogen–deuterium exchange (HDX) has long been used to determine regional flexibility and binding sites in proteins; however, the data are too sparse for full structural characterization. Experiments that measure HDX rates, such as HDX-NMR, have far higher throughput compared to structure determination via X-ray crystallography, cryo-EM, or a full suite of NMR experiments. Data from HDX-NMR experiments encode information on the protein structure, making HDX a prime candidate to be supplemented by computational algorithms for protein structure prediction. We have developed a methodology to incorporate HDX-NMR data into ab initio protein structure prediction using the Rosetta software framework to predict structures based on experimental agreement. To demonstrate the efficacy of our algorithm, we examined 38 proteins with HDX-NMR data available, comparing the predicted model with and without the incorporation of HDX data into scoring. The root-mean-square deviation (rmsd, a measure of the average atomic distance between superimposed models) of the predicted model improved by 1.42 Å on average after incorporating the HDX-NMR data into scoring. The average rmsd improvement for the proteins where the selected model rmsd changed after incorporating HDX data was 3.63 Å, including one improvement of more than 11 Å and seven proteins improving by greater than 4 Å, with 12/15 proteins improving overall. Additionally, for independent verification, two proteins that were not part of the original benchmark were scored including HDX data, with a dramatic improvement of the selected model rmsd of nearly 9 Å for one of the proteins. Moreover, we have developed a confidence metric allowing us to successfully identify near-native models in the absence of a native structure. Improvement in model selection with a strong confidence measure demonstrates that protein structure prediction with HDX-NMR is a powerful tool which can be performed with minimal additional computational strain and expense.

Cytochrome C from horse heart has became a standard molecule in terms of protein dynamics studies by following the exchange of amide protons at different positions in its seqeunce. Therefore both its structure and dynamics have been well characterised by different methods, like NMR or ETD-based MS. The present dataset presents a control classic HDX experiment which includes full deuteration control to be confronted with exchange rate mapping along the sequence obtained by other methods.

The hdx_users extension for CKAN focuses on user management and potentially enhances user-related functionalities within a CKAN instance customized for the Humanitarian Data Exchange (HDX). Given the lack of a README, we can infer that this extension likely provides specific tools or features to manage user accounts, roles, or permissions, tailored to the needs of the HDX platform's data-sharing ecosystem. It aims to streamline user administration and potentially add customized user profile attributes or authentication methods. Key Features (Inferred): * Custom User Roles: Potentially introduces or modifies roles beyond the standard CKAN roles to better align with the HDX data sharing model, which may include roles for data contributors, validators, and consumers. * Enhanced User Profile Attributes: Likely extends user profiles with additional fields relevant to HDX, such as affiliation, areas of expertise, or contact information, enhancing the utility of user metadata within the HDX ecosystem. * Streamlined User Management Interface: Could provide a customized interface or tools within the CKAN admin panel to simplify user creation, modification, and permission assignment, reducing the administrative overhead in managing a large user base. * HDX-Specific Authentication Integration: Possibly integrates with HDX-specific authentication mechanisms or identity providers to simplify user login and access management. * User Activity Tracking: May include features for tracking user activities (e.g., dataset access, contribution, edits) to aid auditing and understand user engagement within the data ecosystem. Use Cases (Inferred): 1. Humanitarian Organizations: Simplifies user management for organizations collaborating on humanitarian projects, allowing administrators to quickly grant/revoke access and manage roles across distributed datasets. 2. Data Validation Teams: Provides specific roles and permissions tailored for data QA/QC teams, ensuring only authorized personnel are able to validate, edit or flag datasets for review. Technical Integration (Potential): The hdx_users extension likely integrates with CKAN's user management system by providing additional plugins that extend the standard user API endpoints or modify the user interface. Since no specific integration details are available, it's plausible that it hooks into CKAN's authentication and authorization mechanisms, adding custom hooks to manage user roles and permissions. Benefits & Impact (Potential): If properly implemented, the hdx_users extension will streamline user administration within an HDX environment, reducing administrative overhead and improving the experience of data contributors and consumers. By providing customized roles and permissions, it will enhance security while fostering collaboration within the humanitarian data ecosystem. Enhanced user profile attributes can facilitate better communication and collaboration among users.

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

The hdx_search extension for CKAN aims to enhance the search functionality within the CKAN ecosystem, potentially tailored for the Humanitarian Data Exchange (HDX). Given the lack of a README, the exact features and configurations remain unclear. Based on the name, it most likely focuses on improving how users can find and access datasets, resources, and related information within CKAN instances, with a high probability of being designed for the specific use case of HDX. Key Features (Assumed Based on Extension Name and Common Search Extension Functionality): Advanced Search Capabilities: Likely provides enhanced search options beyond CKAN's default functionality, such as faceted search, spatial search, and/or full-text search capabilities. Relevance Ranking: Potentially improves the ranking of search results to prioritize the most relevant datasets and resources based on user queries and metadata. HDX Integration (Potentially): It's likely the extension is specifically tailored to integrate with HDX data schemas or metadata standards, optimizing search results for humanitarian-related datasets.

Hydrogen deuterium exchange mass spectrometry of HSL in the presence of artificial lipid droplets to analyze lipid droplets binding.

The Humanitarian Data Exchange (HDX) is an open platform for sharing data. The HDX has compiled a series of open-source datasets pertaining to areas affected by Hurricane Irma. Data focus on the Caribbean Islands such as Puerto Rico, Haiti, Dominican Republic, and Saint Kitts.

Data of affected population in the Sole Registry of Affected Persons (RUD)