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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The Harmful Algal Event Database (HAEDAT) is a component of the Harmful Algal Information system (HAIS) within the International Oceanographic Data and Information Exchange (IODE) of the Intergovernmental Oceanographic Commission (IOC) of UNESCO, and in cooperation with ICES, and PICES. The HAEDAT is a meta database containing records of harmful algal events. HAEDAT contains records from the ICES area (North Atlantic) since 1985, and from the PICES area (North Pacific) since 2000. IOC Regional networks in South America, South Pacific and Asia, and North Africa have recently started contributing. This instantiation of the HAEDAT database contains all species occurrences associated with harmful algal events, including abundance and toxicity ranges.
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TwitterThe ODIS "Catalogue of Sources" aims to be an online browsable and searchable catalogue of existing ocean related web-based sources/systems of data and information as well as products and services. It will also provide information on products and visualize the landscape (entities and their connections) of ocean data and information sources. It will contribute to the objectives of the Agenda 2030, and in particular the UN Decade for Ocean Science for Sustainable Development. The Catalogue is not an ocean database or metadata repository. The catalogue includes descriptive information such as the URL, title, description, language, point of contact, geographic scope, available technologies for machine-to-machine interaction, keywords, etc. and can be searched on many of these fields. The IODE network of NODCs has been collecting, managing and serving data for decades. This effort has yielded an extensive, but distributed and heterogeneous collection of data and information sources. Additionally, the low threshold for technical capabilities required to offer data and information over the Internet means that many of the hosted resources are not readily discoverable through NODCs, regional or international data and information systems ODIS will provide an online catalogue of (ideally) all online data/information sources (and, where possible, metadata on off-line sources as well). Many regional and international programmes and projects have developed online data/information services but there is currently no "one-stop shop" where users are offered an overview and/or common data/information discovery interface. There are currently 3090 sources (2172 are searchable) catalogued in the system.
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TwitterAttribution 1.0 (CC BY 1.0)https://creativecommons.org/licenses/by/1.0/
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This is a Darwin Core Archive version of data from the IOC World Bird List. The IOC World Bird List is an open access resource of the international community of ornithologists. Their goal is to facilitate worldwide communication in ornithology and conservation based on an up-to-date classification of world birds and a set of English names that follows explicit guidelines for spelling and construction (Gill & Wright 2006). Citation: Gill, F & D Donsker (Eds). 2017. IOC World Bird List (v 7.1). doi: 10.14344/IOC.ML.7.1 More...
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Here are the data set and source code related to the paper: "A Framework for Developing Strategic Cyber Threat Intelligence from Advanced Persistent Threat Analysis Reports Using Graph-Based Algorithms"
1- aptnotes-downloader.zip : contains source code that downloads all APT reports listed in https://github.com/aptnotes/data and https://github.com/CyberMonitor/APT_CyberCriminal_Campagin_Collections
2- apt-groups.zip : contains all APT group names gathered from https://docs.google.com/spreadsheets/d/1H9_xaxQHpWaa4O_Son4Gx0YOIzlcBWMsdvePFX68EKU/edit?gid=1864660085#gid=1864660085 and https://malpedia.caad.fkie.fraunhofer.de/actors and https://malpedia.caad.fkie.fraunhofer.de/actors
3- apt-reports.zip : contains all deduplicated APT reports gathered from https://github.com/aptnotes/data and https://github.com/CyberMonitor/APT_CyberCriminal_Campagin_Collections
4- countries.zip : contains country name list.
5- ttps.zip : contains all MITRE techniques gathered from https://attack.mitre.org/resources/attack-data-and-tools/
6- malware-families.zip : contains all malware family names gathered from https://malpedia.caad.fkie.fraunhofer.de/families
7- ioc-searcher-app.zip : contains source code that extracts IoCs from APT reports. Extracted IoC files are provided in report-analyser.zip. Original code repo can be found at https://github.com/malicialab/iocsearcher
8- extracted-iocs.zip : contains extracted IoCs by ioc-searcher-app.zip
9- report-analyser.zip : contains source code that searchs APT reports, malware families, countries and TTPs. I case of a match, it updates files in extracted-iocs.zip.
10- cti-transformation-app.zip : contains source code that transforms files in extracted-iocs.zip to CTI triples and saves into Neo4j graph database.
11- graph-db-backup.zip : contains volume folder of Neo4j Docker container. When it is mounted to a Docker container, all CTI database becomes reachable from Neo4j web interface. Here is how to run a Neo4j Docker container that mounts folder in the zip:
docker run -d --publish=7474:7474 --publish=7687:7687 --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/data:/data --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/plugins:/plugins --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/logs:/logs --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/conf:/conf --env 'NEO4J_PLUGINS=["apoc","graph-data-science"]' --env NEO4J_apoc_export_file_enabled=true --env NEO4J_apoc_import_file_enabled=true --env NEO4J_apoc_import_file_use_neo4j_config=true --env=NEO4J_AUTH=none neo4j:5.13.0
web interface: http://localhost:7474
username: neo4j
password: neo4j
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Japan EPI: CB: CP: IOC: Other industrial organic chemicals (Oth IOC) data was reported at 104.900 2010=100 in Dec 2016. This records an increase from the previous number of 102.300 2010=100 for Nov 2016. Japan EPI: CB: CP: IOC: Other industrial organic chemicals (Oth IOC) data is updated monthly, averaging 107.100 2010=100 from Jan 2010 (Median) to Dec 2016, with 84 observations. The data reached an all-time high of 149.100 2010=100 in Aug 2011 and a record low of 87.200 2010=100 in Jan 2010. Japan EPI: CB: CP: IOC: Other industrial organic chemicals (Oth IOC) data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I175: Export Price index: 2010=100: Contract Currency Basis: Chemicals & related products.
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TwitterThis dataset was created by gurkan2
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TwitterPerdomini Ioc Spa Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterThe objective of this map is to provide information about the operational status of global and regional networks of real time sea level stations as well as provide a display for quick inspection of the raw data stream from individual stations.This service initially focused on operational monitoring of sea level measuring stations in Africa and was developed from collaboration between Flanders Marine Institute (VLIZ) and the ODINAFRICA project of IODE. The service has since been expanded to a global station monitoring service for real time sea level measuring stations that are part of IOC programmes i.e.(i) the Global Sea Level Observing System Core Network; and(ii) the networks under the regional tsunami warning systems in the Indian Ocean (IOTWS), North East Atlantic & Mediterranean (NEAMTWS), Pacific (PTWS) and the Caribbean (CARIBE-EWS).Provision of low frequency and high frequency research quality sea level data is not the aim of this service. Such data is available from the GLOSS designated data centers at the Permanent Service for Mean Sea Level (PSMSL), the British Oceanographic Data Center (BODC), the University of Hawaii Sea Level Center (UHSLC) or the data originators.
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TwitterThis dataset was created by gurkan2
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Japan EPI: CB: CP: IOC: CI: Caprolactam data was reported at 64.500 2010=100 in Dec 2016. This records an increase from the previous number of 55.400 2010=100 for Nov 2016. Japan EPI: CB: CP: IOC: CI: Caprolactam data is updated monthly, averaging 66.100 2010=100 from Jan 1980 (Median) to Dec 2016, with 444 observations. The data reached an all-time high of 138.700 2010=100 in Aug 2011 and a record low of 38.100 2010=100 in Feb 2002. Japan EPI: CB: CP: IOC: CI: Caprolactam data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I176: Export Price index: 2010=100: Contract Currency Basis: Chemicals & related products.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Japan EPI: CB: CP: Industrial Organic Chemicals (IOC) data was reported at 88.000 2010=100 in Dec 2016. This records an increase from the previous number of 85.600 2010=100 for Nov 2016. Japan EPI: CB: CP: Industrial Organic Chemicals (IOC) data is updated monthly, averaging 107.850 2010=100 from Jan 2010 (Median) to Dec 2016, with 84 observations. The data reached an all-time high of 124.900 2010=100 in May 2011 and a record low of 75.700 2010=100 in Feb 2016. Japan EPI: CB: CP: Industrial Organic Chemicals (IOC) data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I175: Export Price index: 2010=100: Contract Currency Basis: Chemicals & related products.
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TwitterIoc Institut Oenologique De Champagne Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Here are the data set and source code related to the paper: "DEVIL: A Framework for Discovering and Evaluating Insidious Advanced Persistent Threats Leveraging Graph-Based Algorithms"
1- aptnotes-downloader.zip : contains source code that downloads all APT reports listed in https://github.com/aptnotes/data and https://github.com/CyberMonitor/APT_CyberCriminal_Campagin_Collections
2- apt-groups.zip : contains all APT group names gathered from https://docs.google.com/spreadsheets/d/1H9_xaxQHpWaa4O_Son4Gx0YOIzlcBWMsdvePFX68EKU/edit?gid=1864660085#gid=1864660085 and https://malpedia.caad.fkie.fraunhofer.de/actors
3- apt-reports.zip : contains all deduplicated APT reports gathered from https://github.com/aptnotes/data and https://github.com/CyberMonitor/APT_CyberCriminal_Campagin_Collections
4- countries.zip : contains country name list.
5- ttps.zip : contains all MITRE techniques gathered from https://attack.mitre.org/resources/attack-data-and-tools/
6- malware-families.zip : contains all malware family names gathered from https://malpedia.caad.fkie.fraunhofer.de/families
7- ioc-searcher-app.zip : contains source code that extracts IoCs from APT reports. Extracted IoC files are provided in report-analyser.zip. Original code repo can be found at https://github.com/malicialab/iocsearcher
8- extracted-iocs.zip : contains extracted IoCs by ioc-searcher-app.zip
9- report-analyser.zip : contains source code that searchs APT reports, malware families, countries and TTPs. I case of a match, it updates files in extracted-iocs.zip.
10- cti-transformation-app.zip : contains source code that transforms files in extracted-iocs.zip to CTI triples and saves into Neo4j graph database.
11- graph-db-backup.zip : contains volume folder of Neo4j Docker container. When it is mounted to a Docker container, all CTI database becomes reachable from Neo4j web interface. Here is how to run a Neo4j Docker container that mounts folder in the zip:
docker run -d --publish=7474:7474 --publish=7687:7687 --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/data:/data --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/plugins:/plugins --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/logs:/logs --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/conf:/conf --env 'NEO4J_PLUGINS=["apoc","graph-data-science"]' --env NEO4J_apoc_export_file_enabled=true --env NEO4J_apoc_import_file_enabled=true --env NEO4J_apoc_import_file_use_neo4j_config=true --env=NEO4J_AUTH=none neo4j:5.13.0
web interface: http://localhost:7474 username: neo4j password: neo4j
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TwitterODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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The dataset contains response of 20 Physics instructors to 50 Physics items of West Africa Examination Council (WAEC) Physics Questions for 2019-2022. The responses were coded as 1 (real items), -1 (applied items) and 0 (for undecided). The data contained the sum of the responses for all the real items as 'sum real items' and 'sum applied items' for all the applied items. The data set is an excel file with four sheets for 2019, 2020, 2021 and 2022 respectively.
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TwitterThis dataset was created by Gustaf Sjösten
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Japan EPI: CB: CP: IOC: Oth IOC: Synthetic Dyes data was reported at 143.800 2010=100 in Dec 2016. This stayed constant from the previous number of 143.800 2010=100 for Nov 2016. Japan EPI: CB: CP: IOC: Oth IOC: Synthetic Dyes data is updated monthly, averaging 117.300 2010=100 from Jan 1980 (Median) to Dec 2016, with 444 observations. The data reached an all-time high of 154.100 2010=100 in Dec 1991 and a record low of 80.700 2010=100 in Sep 2007. Japan EPI: CB: CP: IOC: Oth IOC: Synthetic Dyes data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I175: Export Price index: 2010=100: Contract Currency Basis: Chemicals & related products.
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TwitterLanka Ioc Plc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterIoc Industrial Orthopedic Company Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterThis data file provides a validated and correctly time-stamped version of the 2009-2021 sea-level records of the five following tide stations in French Polynesia: Vairao (Tahiti-Iti), Mangareva (Gambier Archipelago), Tubuai (Austral Archipelago), Makemo and Rangiroa (Tuamotu Archipelago). The time sampling is one or two minutes, depending on the tide gauge. These data can be found in other databases, including IOC database, but we found that 16.7 % of the timestamps in these databases are incorrect. In addition, outliers found in the raw data were flagged by comparison with a preliminary tide model.
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TwitterIoc Phinergy Private Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Harmful Algal Event Database (HAEDAT) is a component of the Harmful Algal Information system (HAIS) within the International Oceanographic Data and Information Exchange (IODE) of the Intergovernmental Oceanographic Commission (IOC) of UNESCO, and in cooperation with ICES, and PICES. The HAEDAT is a meta database containing records of harmful algal events. HAEDAT contains records from the ICES area (North Atlantic) since 1985, and from the PICES area (North Pacific) since 2000. IOC Regional networks in South America, South Pacific and Asia, and North Africa have recently started contributing. This instantiation of the HAEDAT database contains all species occurrences associated with harmful algal events, including abundance and toxicity ranges.