cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p90ohnj4
title: Water Quality and Bed-sediment Quality from Mountain Creek Lake and two stream sites near Grand Prairie, Texas, 2019

description: Mountain Creek Lake is a reservoir in north Texas 8 miles southwest of Dallas, Texas where historical contamination by polychlorinated biphenyl compounds (PCBs) and other organic contaminants has been reported. There was a need to reassess concentrations of contaminates of organic and inorganic compounds in the reservoir. In cooperation with the City of Dallas, the U.S. Geological Survey (USGS) sampled Mountain Creek Lake and two downstream stream sites over two sampling events. The study area consisted of seven sites on Mountain Creek Lake, one site on the Trinity River, and one site on Mountain Creek. Water-column and bed-sediment samples were collected at each site in June and August of 2019. Water-quality field properties (water temperature, dissolved-oxygen concentration, pH, specific conductance, and turbidity) were measured in the field at each sampling site by using a Xylem YSI EXO2 sonde. Water-column samples were collected by using a peristaltic pump to collect composite water samples that were analyzed for 32 major and trace elements, 6 nutrients, 68 volatile organic compounds (VOCs), alkalinity, dissolved solids (DS), and turbidity. Bed-sediment samples were collected by using a gravity corer for lake sites and grab samples for stream sites. Bed-sediment samples were analyzed for 50 major and trace elements, 17 polycyclic aromatic hydrocarbons (PAHs), 9 PCBs, and 66 VOCs. The USGS National Water Quality Laboratory in Denver, Colorado analyzed water samples for major and trace elements, nutrients, alkalinity, dissolved solids, and turbidity. RTI Laboratories in Detroit, Michigan analyzed water samples for VOCs. Bed-sediment samples were analyzed by RTI Laboratories for PAHs, PCBs, and VOCs. AGAT Laboratories analyzed bed-sediment samples for major and trace elements. This Data Release documents the results of the water and bed-sediment sample analyses.
DOI: 10.6073/pasta/053c947ad4352b086ac1f07b7edc76d7
title: Jornada Basin LTER: Wireless meteorological station at NPP T-EAST site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP T-EAST met station. Average air temperature, relative humidity, wind speed, wind direction, and solar radiation are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP T-EAST site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/5a626e7da2d3ff1b568bbda8b250201a
title: Jornada Basin LTER: Wireless meteorological station at NPP T-EAST site: 1-second summary precipitation data: 2013 - ongoing

description: 1-second summary precipitation data at NPP T-EAST met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP T-EAST site.. This climate station is operated by the Jornada LTER Program. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437028, knb-lter-jrn.210437043, and knb-lter-jrn.210437058 for the NPP T-EAST met station 30 minute, hourly, and daily summary datasets, respectively. This is an ONGOING dataset.
DOI: 10.6073/pasta/b0591618485f4fd77592e2a0413ef8a7
title: Jornada Basin LTER: Wireless meteorological station at NPP T-EAST site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP T-EAST met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP T-EAST site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.5281/zenodo.4494358
title: Longer simulation of a Lo/Ld phase coexistence in a PSM/DOPC/Cholesterol mixture with additional POPC

description: Longer version of the entry: https://zenodo.org/record/3985089 details to be added
DOI: 10.5281/zenodo.4494357
title: Longer simulation of a Lo/Ld phase coexistence in a PSM/DOPC/Cholesterol mixture with additional POPC

description: Longer version of the entry: https://zenodo.org/record/3985089 details to be added
DOI: 10.23721/107/1353895
title: Two-Days-in-2008 Telescope Dataset (2008-11-12 to 2008-11-19)

description: This dataset contains two full days of trace data from the UCSD Network Telescope:
          2008-11-12 and 2008-11-19. These dates precede our detection of the Conficker A Worm
          on 2008-11-21. The dataset consists of 48 compressed pcap files each containing one
          hour of traffic observed by the Network Telescope.
DOI: 10.23721/107/1354112
title: UCSD Telescope Darknet Scanners dataset (2008-02-20 to 2016-07-01)

description: This dataset contains IP addresses that conduct horizontal scans of UCSD's network telescope.

We use Bro's default parameters (the same source IP address is used to contact 25 unique destination IP addresses on the same destination port/protocol).

We include the following information:
 * IP addresses
 * Scanned port
 * Scanned protocol
 * Timestamp scan began
 * Scanning statistics that may be used as heuristics for determining scanning strategy.
DOI: 10.23721/107/1365444
title: CAIDA UCSD AS Rank (2010-08-01)

description: This interactive tool presents the BETA version of AS Rank, CAIDA's ranking of Autonomous Systems (AS) (which approximately map to Internet Service Providers) and organizations (Orgs) (which are a collection of one or more ASes). The ranking is derived from topological data collected by CAIDA's Archipelago Measurement Infrastructure and Border Gateway Protocol (BGP) routing data collected by the Route Views Project and RIPE NCC.

ASes and Orgs are ranked by their customer cone size, which is the number of their direct and indirect customers. Note: We do not have data to rank ASes (ISPs) by traffic, revenue, users, or any other non-topological metric. 

The tool is available at the URL http://as-rank.caida.org/.
DOI: 10.23721/107/1353894
title: Three Days Of Conficker Dataset (2008-11-21 to 2009-01-21)

description: This dataset contains data from the UCSD Network Telescope for three days between November 2008
          and January 2009, exactly one month apart. The first day (2008-11-21) covers the onset of the
          Conficker A infection. On the second day, 2008-12-21, only Conficker A was active; and during
          the third and final day (2009-01-21) both Conficker A and B were active.
          The dataset consists of 68 compressed pcap files each containing one
          hour of traffic observed by the Network Telescope.
DOI: 10.23721/107/1354113
title: CAIDA UCSD IPv4 2013 Census Dataset (2013-07-01 to 2013-10-01)

description: We infer utilization of the IPv4 address space and taxonomize //24 address blocks by analyzing and cross-correlating the following measurement datasets, all collected between July and October 2013: 4 types of passive traffic traces (from a darknet, an academic ISP, an IXP, and a residential ISP), 3 types of active measurements (ICMP ping, HTTP GET, traceroutes), BGP data, IPv4 address allocation data, and derived data about geolocations and ASes.

The methodology is described in the paper A. Dainotti, K. Benson, A. King, B. Huffaker, E. Glatz, X. Dimitropoulos, P. Richter, A. Finamore, and A. Snoeren, /"Lost in Space: Improving Inference of IPv4 Address Space Utilization/", IEEE Journal on Selected Areas in Communications (JSAC), 20i6.

Each /24 address block in the dataset is classified as /"ietf-reserved/", /"used/", /"routed unused/", /"unrouted assigned/", /"available/" and is  labeled with the Autonomous System Number that announced in BGP the longest network prefix containing that address block.

This dataset can be used to infer utilization of the IPv4 address space by Registries, ASes, and countries, to provide more realistic routed address space metrics used for estimates of the size, degree, type, or maliciousness of ASes, and to improve the accuracy of analysis of address blocks transfers in the grey market.
DOI: 10.23721/107/1423888
title: CAIDA UCSD Ark IPv4 Internet Topology Data Kits (2010-01-07 to 2020-01-01)

description: This ITDK was produced from traceroutes conducted on Archipelago (Ark) and RIPE Atlas measurement infrastructures. For Ark, we used a subset of the IPv4 Routed /24 Topology Dataset, which contains traceroutes to randomly-chosen destinations in each routed /24 BGP prefix.  This dataset is useful for studying the topology of the Internet at the router-level, among other uses.
DOI: 10.23721/107/1353633
title: CAIDA DDoS 2007 Attack Dataset (2007-08-04 to 2007-08-04)

description: This dataset contains approximately one hour of anonymized traffic from a DDoS attack on August 4, 2007 (20:50:08 UTC to 21:56:16 UTC). This type of denial-of-service attack attempts to block access to the targeted server by consuming computing resources on the server and by consuming all of the bandwidth of the network connecting the server to the Internet. Only attack traffic to the victim and responses to the attack from the victim are included in the traces. Non-attack traffic has as much as possible been removed.
DOI: 10.23721/107/1366733
title: Vela on-demand service (2017-06-28)

description: Vela is the on-demand topology measurement service that provides acess to CAIDA's Archipelago (Ark) infrastructure.
DOI: 10.23721/107/1353896
title: Witty Worm Dataset (2004-03-19 to 2004-03-24)

description: Information useful for studying the spread of the Witty worm, as observed by
          the UCSD Network Telescope over a 5-day period in Mar 2004. Data available
          include IP address and hostname lists: time, duration, and country distributions:
          flow files: and raw packet traces containing all observed Witty worm traffic.
          Possible uses include modeling worm propagation and using real packet traces
          to validate algorithms for detecting or classifying malicious traffic. 
          Statistics: 104GB (uncompressed) of traces containing 997 million packets,
          55,909 infected IP addresses.
DOI: 10.23721/107/1354217
title: CAIDA UCSD Border Mapping Dataset (2017-01-01 to 2017-02-01)

description: This dataset consists of a set of border routers inferred
        to be owned by the network hosting Ark Vantage Points (VPs) along with
        the set of neighbor routers connected to each border router.
        bdrmap focuses on the network boundaries for which we have the most confidence
        that we can accurately infer them in the presence of sampling bias:
        interdomain links attached to the network launching the traceroute.
        Our method infers all interdomain links directly connected to and
        visible from the network hosting a single VP.
DOI: 10.23721/107/1421848
title: CAIDA UCSD AS Facilities Mapping (2017-03-01 to 2017-04-30)

description: Interconnection facilities host routers of many different networks and partner with Internet Exchange Points to support different types of interconnection between the networks. This dataset contains detailed information about individual interconnection facilities including their names, operators, and geographic data; mapping of ASes to interconnection facilities; and types of peering interconnections used at those facilities. This data augments topological maps of AS connectivity with physical attributes and can be used to assess the resilience of interconnections in the event of natural disasters, identify facility or router outages, shed light on peering disputes, and help locate points of attacks, congestion, or instability on the Internet. For the detailed description of the methodology and data formats please see   http://www.caida.org/data/as-facilities/
DOI: 10.23721/1393258
title: CAIDA UCSD Geolocated Router Dataset (2016-05-15 to 2016-05-25)

description: A collection of router interface IP addresses geolocated to the city level.
11,857 IP addressed geolocated based on DNS names and 4,838 IP addresses
geolocated based on RTT proximity to RIPE Atlas probes. The DNS-based data
was created on May 15, 2016. The RTT-proximity data was created from
measurements collected on May 25, 2016. The total number of addresses in
the dataset is 16586 (109 addresses found to be common between the two
sources of data with very similar locations).
DOI: 10.23721/107/1353721
title: CAIDA UCSD Real-time Network Telescope Data (2012-01-01 to 2020-01-01)

description: The dataset contains near-real-time raw traces from the UCSD Network Telescope covering a fourteen-day sliding
        time window up to the present time.  Once data slides out of the "near-real-time window", the pcap files are off-loaded to tape storage. These historical Telescope data starting from 2008 are available by additional request. These data provide opportunities to study network security-related events (DDoS attacks, worms, etc.) For more information visit http://www.caida.org/data/passive/telescope-near-real-time_dataset.xml
The size of one hourly raw data pcap file is more than 75Gb. In order to enable more efficient data processing and analysis, these hourly pcap files are post-processed using Corsaro software to extract the most important packet header fields and aggregate data into FlowTuple files. The resulting Aggregated Flow data is available  at https://www.impactcybertrust.org/dataset_view?idDataset=1160 .
DOI: 10.23721/107/1463169
title: CAIDA UCSD Randomly and Uniformly Spoofed Denial-of-Service Attack Metadata (2015-03-01 to 2017-02-28)

description: This dataset is aggregated from the unidirectional unsolicited IPv4 traffic reaching the UCSD Network Telescope. From the raw traffic data, we extract the backscatter (response) packets sent by victims of randomly and uniformly spoofed DoS attacks, summarize activity that relates to the same victim in an 'attack vector', and produce a single CSV file of attack vectors per day. 
The attack vector consists of a target IP address, statistical information about the attack, and geolocation and BGP routing metadata for that IP address. Possible uses of this data include: studying and modeling DoS attacks and characterizing victim populations.
For more information see http://www.caida.org/data/passive/rsdos-targets/
DOI: 10.23721/107/1353893
title: Patch Tuesday Dataset (2012-01-01 to 2012-07-01)

description: This dataset contains data from darkspace observations in the first six months of 2012.
          The data has been preprocessed (aggregated) with the Corsaro Software Suite, and is split into
          files that each contain one hour of data. For each hour we provide one file with flow
          information in the Corsaro FlowTuple format, and one file containing the source type
          analysis in the Corsaro Smee format (the corresponding FlowType and Smee Corsaro plugins
          are required to read the files).
DOI: 10.23721/107/1354085
title: CAIDA UCSD IPv4 Routed /24 DNS Names (2008-03-01 to 2020-01-01)

description: The IPv4 Routed /24 DNS Names Dataset provides fully-qualified domain names
        for IP addresses seen in the traces of the  "CAIDA IPv4 Routed /24 Topology"
        Dataset
DOI: 10.23721/107/1354218
title: UCSD Telescope Sipscan dataset (2011-01-01 to 2011-03-01)

description: The sipscan release dataset contains detailed information about each UDP probing packet captured by the UCSD Network Telescope over the course of the event (Jan-Feb 2011).
The dataset consists of a single text file. Each row in the file represents one packet. Fields include the time the packet was received, results of geographic mapping of
the source IP (country code, latitude and longitude), Autonomous System Number, source and destination address identifiers, and source port. The source addresses have
been anonymized by mapping each address to a unique identifier, maintaining a one-to-one mapping between original IP and anonymized identifier. Destination addresses
have had the most-significant octet changed to protect the identity of the /8 network used by the UCSD Network Telescope. The geographic and AS information for each
packet can be used to reproduce the visualizations and tables presented in the paper, and the source port can be used to carry out the 'port unrolling' technique.
DOI: 10.23721/107/1503376
title: CAIDA UCSD Network Telescope Daily Randomly and Uniformly Spoofed Denial-of-Service (RSDoS) Attack Metadata (2008-10-01 to 2019-06-24)

description: This dataset is aggregated from the unidirectional unsolicited IPv4 traffic reaching the UCSD Network Telescope. From the raw traffic data, we extract the backscatter (response) packets sent by victims of randomly and uniformly spoofed DoS attacks, summarize activity that relates to the same victim in an 'attack vector', and produce a single CSV file of attack vectors per day. The attack vector consists of a target IP address, statistical information about the attack, and geolocation and BGP routing metadata for that IP address. Possible uses of this data include: studying and modeling DoS attacks and characterizing victim populations. For more information see http://www.caida.org/data/passive/telescope-daily-rsdos.xml
DOI: 10.23721/107/1503377
title: CAIDA UCSD Network Telescope Aggregated Flow Dataset (2008-10-01)

description: Raw data captured by the UCSD Network Telescope are stored in huge pcap files. In order to enable more efficient data storage, processing, and analysis, these hourly pcap files are post-processed using Corsaro software to extract the most important packet header fields and aggregate data into FlowTuple files. The FlowTuple format includes eight fields: source IP address; destination IP address; source port; destination port; protocol; TCP Flags; TTL and IP length.  In the hourly FlowTuple output files, the data are broken into 60-second intervals. Within a given interval, each unique key (a unique combination of the FlowTuple fields) observed in the raw pcap data is reported on a separate line in the FlowTuple format followed by the number of packets in this interval whose header fields match this FlowTuple key. Flows are further subdivided into three FlowTuple classes: backscatter, ICMP Request and "other", and the total number of flows in each class is recorded. These data provide opportunities to study network security-related events (DDoS attacks, worms, etc.) For more information see http://www.caida.org/data/passive/telescope-flowtuple.xml
DOI: 10.23721/107/1354206
title: Code Red Dataset (2001-07-19 to 2001-08-19)

description: This dataset contains information useful for studying the spread of the
           Code-Red version 2, and CodeRedII worms. The dataset consists of a
           publicly available set of files that contain summarized information that
           does not individually identify infected computers. 
           The first incarnation of the Code-Red worm (CRv1) began to infect hosts
           running unpatched versions of Microsoft's IIS webserver on July 12th, 2001.
           The first version of the worm uses a static seed for it's random number
           generator. Then, around 10:00 UTC in the morning of July 19th, 2001,
           a random seed variant of the Code-Red worm (CRv2) appeared and spread.
           This second version shared almost all of its code with the first version,
           but spread much more rapidly. Next, on August 4th, a new worm began to
           infect machines exploiting the same vulnerability in Microsoft's IIS
           webserver as the original Code-Red virus. Although the new worm had no
           relationship to the first one outside of exploiting the same vulnerability,
           it contained in its source code the string "CodeRedII" and was thus named
           CodeRed II. Finally, on September 18, 2001, the Nimda worm began to spread
           via backdoors left by CodeRedII, as well as via email, open network shares,
           and compromised web sites.
DOI: 10.23721/107/1421849
title: CAIDA UCSD OC48 Peering Point Traces (2002-08-14 to 2003-04-24)

description: This dataset contains anonymized passive traffic traces taken at a west coast OC48 peering link for a large ISP in 2002 and 2003. The payload has been removed and IP addresses anonymized using CryptoPAn prefix-preserving anonymization tool with the same key for all traces in this dataset. 
These traces can be read with any software that reads the pcap (tcpdump) format. This data is useful for research on the characteristics of Internet traffic, including application breakdown, security events, topological distribution, and flow volume and duration.
DOI: 10.6084/m9.figshare.13256174.v3
title: sargassum_dataset.zip

description: Neural Network training dataset for classification of Images with presence and absence of <i>sargassum</i>
DOI: 10.6084/m9.figshare.13256174
title: Sargassum Dataset

description: Neural Network training dataset for classification of Images with presence and absence of <i>sargassum</i>
DOI: 10.6084/m9.figshare.13256174.v4
title: sargassum_dataset.zip

description: Neural Network training dataset for classification of Images with presence and absence of <i>sargassum</i>
DOI: 10.23721/107/1366741
title: Henya query system (2017-06-28)

description: Henya is CAIDA's large-scale Internet topology query system which provides remote search of traceroute data without requiring data downloads. Henya includes built-in analyses and visualizations for commonly occuring needs, and is intended to be responsive enough for interactive data exploration.
DOI: 10.23721/107/1435354
title: CAIDA UCSD  BGP Community Dictionary Dataset (2018-01-01)

description: This BGP Community Dictionary Dataset focuses on Location-Encoding Ingress Communities which label the location where the prefix entered the network. The Dictionary represents our best effort to extract meaningful geolocation information encoded by network operators into the Community attributes they set up for their networks. These data can be used as a source of meta-data to interpret/annotate other BGP data, including for inferring topological and geographic locations of outages.
Data is provided in a Tab Separated Values format. Each entry contains the BGP community, the geographic encoding, and the
date when it was collected. Some records may also include additional (human-readable) location information, such as the city, facility, etc.
For more information, please see http://www.caida.org/data/bgp-communities.
DOI: 10.6073/pasta/5a2ce42855bca7c6945de870f33fd30e
title: Jornada Basin LTER: Wireless meteorological station at NPP T-TAYL site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP T-TAYL met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP T-TAYL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.