Maximum capture length for interface 0: 65000First timestamp: 1186262976.484933000Last timestamp: 1186263276.484931000Unknown encapsulation: 0

Packet headers (upto transport layer, inclusive) for Anonymized Internet Traces 2016 Dataset. Derived from OC192 traces on Equinix San Jose and Chicago monitors.

Packet headers (upto transport layer, inclusive) for Anonymized Internet Traces 2014 Dataset. Derived from OC192 traces on Equinix San Jose and Chicago monitors. Contains months 03,06,09,12.

Contains AS links annotated with inferred relationships. Each file contains a full AS graph derived from a set of RouteViews BGP table snapshots. Served online in the public AS Relationships dataset. Online since 5 November 2013. Also see: as-relationships-as-relationships-pre-201206 as-relationships-as-relationships-201206-201311 as-relationships-as-relationships-serial2

Packet headers (upto transport layer, inclusive) for Anonymized Internet Traces 2019 Dataset. Derived from 10G traces on Equinix NYC monitor.

AS Rank is 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). This 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..

A part of CAIDA Anonymized Internet Traces Dataset.

This dataset contains information useful for studying the topology
of the Internet, collected by a globally distributed set of Ark monitors.
Data collected for each path probed includes: RTTs for intermediate hops
and destination; IPID, TOS, TTL and size fields of response packets;
IP length, TTL, and TOS fields of probe packet, ICMP type, and code
of responses.

The traffic data is collected at a backbone link of a Tier1 ISP, aiming to estimate the number of packets for each network flow identified by IP addresses and application ports.

This dataset provides information about the number of properties, residents, and average property values for Corte Caida Del Sol cross streets in Tucson, AZ.

Net-Income-Including-Non-Controlling-Interests Time Series for Caida Securities Co Ltd. Caida Securities Co., Ltd. provides investment banking services in China. Its services include securities asset management, brokerage, investment consulting, underwriting and sponsorship, self-operation, lending, and investment fund sales; financial advisory related to securities trading, equity investment, and securities investment; and agency sales of financial products. The company also offers margin financing, provision of intermediary business for futures companies, commodity futures brokerage, financial futures brokerage, futures investment consulting and asset management, investment management, wealth management, credit, and other services. Caida Securities Co., Ltd. was founded in 2002 and is based in Shijiazhuang, China.

This dataset provides information about the number of properties, residents, and average property values for Caida Place cross streets in Tucson, AZ.

Meta data for all passive monthly traces, incl. chicago and sanjose monitors. This includes the files used to generate the public trace stats.

Packet headers (upto transport layer, inclusive) for Anonymized Internet Traces Dataset. Derived from 10G traces collected from high-speed monitors on a commercial backbone links.

This dataset captures unsolicited traffic, as recorded by Merit's 35/8 darknet. Darknet data (also known as Internet background radiation) consist of Internet packets that arrive to an unused Internet space, and are therefore usually associated with malicious activities such as horizontal Internet scanning, malware propagation, and "backscatter" from distributed denial of service (DDoS) attacks. This dataset is provided in the CAIDA Corsaro "flowtuple" format (see https://www.caida.org/tools/measurement/corsaro/ ). Researchers can use this dataset to identify scanners, check for evidence of DDoS activity (e.g., in the case of a TCP SYN flood attack with a spoofed source IP, the victim will reply with a TCP SYN-ACK to the spoofed IP; if the spoofed IP happened to be within the 35/8 address space, our darknet will capture the SYN-ACK replies) or extract other nefarious activities and network misconfigurations.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company shanghai-caida-technology-development-co.ltd.

Caidas Callejon

## Overview

Caidas Callejon is a dataset for object detection tasks - it contains Fall annotations for 825 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).

Por su ubicación en la región del altiplano central, la CDMX se encuentra entre las ciudades con mayor frecuencia de caída de granizo. Junto con Puebla, Pachuca y Tlaxcala es una de las ciudades con mayor incidencia de granizo en los meses de mayo, julio y agosto. El granizo se presenta en las tormentas severas cuando las gotas de agua o los copos de nieve formados en las nubes bajan en forma de piedras de hielo, teniendo un tamaño de aproximadamente 5 milímetros.8 13.71% del territorio de...

El mapa muestra una identificación probabilística de áreas fuente de caída de rocas para la isla de El Hierro, elaborada con la combinación de múltiples modelos estadísticos. Para la ejecución de los modelos se han utilizado las áreas fuente observadas como variable dependiente y un conjunto de información temática como variables independientes (por ejemplo, parámetros morfométricos derivados del MDT, información litológica que considera el comportamiento mecánico de las rocas)

This upload contains the datasets necessary to reproduce the figures and the results of my PhD thesis titled "Robust Modelling of Internet Delay and Smart Monitoring Schemes for the Automation of Overlay Networks" (2020).

These datasets are derived from public sources: CAIDA MANIC and RIPE Atlas.