The Bulk Download extension for CKAN enables users to efficiently download multiple resources and associated metadata from CKAN instances. This extension provides snippets that can be integrated into existing CKAN templates to add a download button on organization and package search views. Clicking this button generates a ZIP file containing resource URLs, MD5 checksums, scripts for downloading resources and verifying checksums, and comprehensive metadata in CSV format. Key Features: Bulk Resource Download: Downloads all relevant resource URLs into a single, manageable file for easy access and retrieval of resources. MD5 Checksum Verification: Includes an MD5 checksum file and scripts to verify the integrity of downloaded resources, ensuring data quality and reliability. Comprehensive Metadata Export: Generates CSV files containing detailed metadata for organizations, packages (datasets), and resources, categorized by their respective schemas. Metadata Summary: Provides a metadata file detailing the original query parameters and the total number of results, offering context and traceability for the downloaded data. Organization-Specific Downloads: When initiated from an organization page, the download is scoped to only include resources and metadata associated with that specific organization. Package Schema Specific Metadata: Creates separate CSV metadata files depending on the type of schema used for the package/dataset. Resource Schema Specific Metadata: Creates separate CSV metadata files depending on the type of schema used for the resource. Use Cases: Data Repositories: Allows users to download all resources and related metadata for a specific organization, promoting efficient data sharing and reuse within a data repository context. Data Auditing: Facilitates the downloading of resources and metadata for auditing purposes, ensuring data integrity and compliance with data management policies. Offline Analysis: Enables downstream analysis of resources and metadata offline. Technical Integration: The Bulk Download extension integrates with CKAN by providing snippets that need to be manually added to the relevant CKAN templates (organization and package search views). The extension also depends on the ckanext-scheming extension, suggesting it leverages the schemaless metadata functionality for generating metadata CSVs. The popover functionality mentioned in the testing notes suggests that Javascript and CSS assets must also be included to properly display the download button's specific configuration options. Benefits & Impact: The Bulk Download extension simplifies the process of downloading multiple resources and associated metadata in CKAN. By providing a comprehensive ZIP file with checksums and scripts, it ensures data integrity and makes it easier for users to work with large datasets offline. The organization-specific download feature enhances usability, allowing users to focus on the data relevant to their needs. The inclusion of metadata organized by schema facilitates data discovery and understanding, while providing context about the provenance of the result set.

URL from idinfo/citation in CSDGM metadata.

This dataset contains an inventory of landslides in many of the most landslide-prone parts of Minnesota. This project was created to improve our understanding of the landslide hazard in Minnesota and to provide a nearly statewide base map of landslide data. The mapping was performed by geologists from the U.S. Geological Survey, the Freshwater Society, and several academic institutions where undergraduate students, graduate students and faculty performed mapping. Contributing academic institution include the University of Minnesota Duluth, the University of Minnesota Twin Cities, the University of Wisconsin-Superior, Gustavus Adolphus College, Winona State University, Minnesota State University, Mankato, St. Thomas University, and North Dakota State University. These landslides were identified using several methods. These include analysis of historical records, direct field observation, location using satellite or aerial imagery, and identification in topographic data products derived from the statewide lidar data coverage. Most of the mapped landslides were identified using lidar derivatives and have not been evaluated in the field by geologists or engineers. These data should be considered a preliminary survey and are not intended to represent a complete and accurate inventory of landslides for these areas. There may be a range in the accuracy, detail, and completeness with which landslides are mapped, and in the information associated with a given landslide; however, all mapped landslides were reviewed by USGS personnel and the senior project members. Mapping procedures including the assignment of numerical values for confidence follow guidelines found in DOGAMI Special Paper 42: https://www.oregongeology.org/pubs/sp/p-SP-42.htm. Site-specific investigations should be completed before using these data for land development or management decisions. This Data Release consists of: 1) Minnesota_Landslides_v1_1.gdb.zip which contains the landslide inventory mapping data and the areas that were mapped, to be used in a GIS, 2) Minnesota_Landslides_v1_3.sd which is an ESRI service layer definition file that enables use of the data in online and offline GIS, 3) MN_Landslide_Photos.zip that contains a collection of geotagged photos showing landslides; these can be imported into a GIS, and 4) metadata.xml which contains metadata for all included files. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Database containing details of chemical and physical profile data from Vestfold Hills lakes. The database has a user interface which allows the user to either (a) generate a table specific to a particular lake, parameter and date, or (b) generate an array of lake vs depth vs date (any combination of two) vs parameter, which presents the results of the lakes which fits the specifications. In both options the results are presented in a table, with additional information including ice cover, record date, parameter, data source, lake name, measurement method and equipment and units.

NOTE: This database has now been taken offline, and the data have been extracted into a series of csv files, which are available for download from the provided URL.

See the readme file in the download file for more information.

This dataset (in .csv format), accompanying codebook and replication code serve as supplement to a study titled: “Does the mode of administration impact on quality of data? Comparing a traditional survey versus an online survey via a Voting Advice Application” submitted for publication to the journal: “Survey Research Methods”). The study involved comparisons of responses to two near-identical questionnaires administered via a traditional survey and through a Voting Advice Application (VAA) both designed for and administered during the pre-electoral period of the Cypriot Presidential Elections of 2013. The offline dataset consisted of questionnaires collected from 818 individuals whose participation was elicited through door-to-door stratified random sampling with replacement of individuals who could not be contacted. The strata were designed to take into account the regional population density, gender, age and whether the area was urban or rural. Offline participants completed a pen-and-paper questionnaire version of the VAA in a self-completing capacity, although the person administering the questionnaire remained present throughout. The online dataset involved responses from 10,241 VAA users who completed the Choose4Cyprus VAA. Voting Advice Applications are online platforms that provide voting recommendations to users based on their closeness to political parties after they declare their agreement or disagreement on a number of policy statements. VAA users freely visited the VAA website and completed the relevant questionnaire in a self-completing capacity. The two modes of administration (online and offline) involved respondents completing a series of supplementary questions (demographics, ideological affinity & political orientation [e.g. vote in the previous election]) prior to the main questionnaire consisting of 35 and 30 policy-related Likert-type items for the offline and online mode respectively. The dataset includes all 30 policy items that were common between the two modes, although only the first 19 (q1:q19) appeared in the same order and in the same position in the two questionnaires; as such, all analyses reported in the article were conducted using these 19 items only. The phrasing of the questions was identical for the two modes and is described per variable in the attached codebook.

Curated output of the COST action BETTER Task 4.3 survey work‑stream. This workbook contains records that the Working Group 4 (WG4) team manually harmonised, cleaned and enriched during and after the Ghen (Belgium) workshop (8 Feb 2024). It is ready for cataloguing, analytics or web display.

1. Workbook layout • training_projects 89 rows × 22 fields – each row = one biosecurity or herd‑health management course. • webpages 65 rows × 21 fields – web resources that offer stand‑alone biosecurity information or e‑learning. • Clarifications 34 text rows – definitions and coding rules applied when populating the two tables (e.g. what counts as “training”, how to mark quality control, etc.).

2. Key fields (training_projects) Title │ Provider │ Language │ Target animal species │ Topic (pure biosecurity vs. broader) │ Delivery mode (F2F / online / hybrid) │ Training tools (lectures, simulation, tests…) │ Duration │ Audience category (farmers, vets, students…) │ Level (basic / advanced) │ Cost (free / fee) │ Award (certificate, ECTS, micro‑badge) │ Application window │ Keywords │ Current status │ Website │ Evaluation type │ Quality‑control mechanism.

3. Key fields (webpages) URL │ Language │ Free/paid (+cost) │ Species focus │ Content format (factsheets, videos, guidelines…) │ One‑health scope │ Downloadable material │ Offline usability │ Type of biosecurity information (farm, transport, both).

4. What the numbers mean 89 courses span 25‑plus providers in Europe and beyond; ~60 % are still active. English is the dominant training language, but 13 other languages appear. Roughly half the courses are free; fees, where given, range from €15 to €2 400.... The 65 webpages complement formal courses with self‑paced resources; almost all are free, yet only 15 % allow offline use. Species coverage is skewed towards cattle, pigs and poultry; aquaculture and small ruminants are under‑represented.

5. How to reuse the file Join tables – the URL in training_projects lets you match with detailed metadata in webpages when a course and its site share the same link. Filter – all categorical answers are already normalised (yes/no, basic/advanced, etc.), so no heavy cleaning is needed. Mapping – pivot by country, language or species to visualise gaps in regional coverage. Quality lens – the “evaluation” and “quality control” fields permit screening for evidence‑based versus ad‑hoc trainings.

6. Caveats • Not exhaustive: entries reflect material found or provided by survey respondents. • Dates and costs were not always verifiable; use the website links for confirmation.

7. Relation to translations Each record may originate from one of the seven survey languages (English, Albanian, German, Italian, Portuguese, Spanish, Turkish). All data have been translated into English for consistency, but course titles remain in the original language where that is the official name.

Large-scale, accurate and fully attributed digital river centreline covering England and Wales. The dataset has full-feature network geometry cross-referenced with OS MasterMap following Digital National Framework principles. The dataset has full-feature network geometry cross-referenced with OS MasterMap following Digital National Framework. It is made of the three following layers: - Links: lines representing the river network. It is a river centreline dataset, based on OS MasterMap for surface features and Environment Agency culvert surveys for underground features (where available). There are many attributes associated with this dataset to enable it to be used for many different business purposes. It is topologically correct to allow it's use in network tracing tasks. - Offline Drainage: lines representing the sections of river and drains that do not obviously connect to the main online drainage network represented by the DRN. Sections with uncertain flow direction and connectivity are presented here, although in reality some may connect to the main DRN, and be added to it as more information becomes available. - Nodes: points representing the junctions between discrete stretches of the online DRN. It is used to assist in connectivity and flow direction, as every DRN stretch is attributed with the 'from' and 'to' nodes. Nodes are also included where line features cross, but do not intersect, such as an aqueduct passing over a river. Nodes have types to determine whether they are at for example junction or at a change in river type.

1) Data content: The data includes sample numbers, trace element test results of molybdenite, chalcopyrite, pyrite, and magnetite. (2) Data source and processing method: Mineral major element analysis was completed in the State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, using JXA-8530F Plus electron probe analysis. The experiment set the acceleration voltage as 15kV, the current as 20nA, and the beam spot diameter as 1 μ m. The ZAF method was used to correct the X-ray intensity. Select metal elements and sulfides as analytical standards, such as gallium arsenide (As), chalcopyrite (Cu), pyrite (Fe, S), sphalerite (Zn), natural silver (Ag), natural gold (Au), natural platinum (Pt), etc. The accuracy and precision of the main elements tested are both less than 2%. LA-ICP-MS in-situ testing and analysis of trace elements in sulfides were completed at Nanjing Jupu Detection Technology Co., Ltd. The instrument is a 193nm ArF excimer laser ablation system paired with an Agilent 7700x mass spectrometer. The beam spot size used in this test is 32 μ m, with a pulse frequency of 5 Hz and an energy of 3 J/cm2. Single point analysis includes 15 seconds of background measurement and 45 seconds of data collection. Use GSE-1G and Py external standards for calibration, and MASS-1 as an unknown sample for monitoring and analyzing accuracy. The raw data was processed offline using ICPMSDataCal software (Liu et al., 2008). (3) Data quality description: The test results are generally accurate, complete, and reliable. Some element test results are below the detection limit, and are replaced with "--" in the table. The original data was processed offline using ICPMSDataCal software. (4) Data application achievements and prospects: It has been confirmed through this data that the platinum group element minerals (PGM) in the Pulang deposit exhibit at least two stages of crystallization: early high temperature and late low temperature. Among them, the self shaped granular tellurium palladium ore and tellurium platinum ore have high crystallization temperatures and open crystallization spaces, which may be directly formed by the solidification of LMCE Pt Pd melt at high temperatures. After the formation of PGM, it continues to migrate in the fluid and is captured by later crystallized sulfides; The entire process of porphyry copper deposits, from magma formation to hydrothermal dissolution and mineral precipitation, is accompanied by the differentiation and enrichment of LMCE and NM, among which LMCE melt plays an important role in the efficient enrichment of NM. The relevant achievements were first funded and published in the domestic journal "Journal of Rock Science".