cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2z02z983
title: Terrestrial carbon, water and energy fluxes measured by eddy covariance, and associated biomet variables, at three adjacent tundra ecosystems at Imnavait Creek, Alaska, 2020

description: This Arctic Observing Network (AON) project focuses on maintaining and expanding our long-term network of measurements of carbon, water, and energy exchange in terrestrial systems in Alaska. These exchanges help regulate the Arctic System and its feedbacks to global climate. Thus, extending long-term observations is a key science priority for the observing-change component of the Study of Environmental Arctic Change (SEARCH). Detecting and interpreting change in arctic C, water, and energy fluxes requires a continuous year-round record over multiple years. Recent data syntheses and modeling studies of Arctic Carbon balance suggest that tundra is either a carbon dioxide (CO2) sink, a source, or neutral (e.g., McGuire et al., 2009, McGuire et al., 2012) . This uncertainty arises mainly from a lack of data on winter CO2 flux and how tundra responds to recent warming. Because of harsh, remote environments and the lack of line power, long-term measurements of arctic CO2 fluxes over the full year are rare. We have been measuring year-round C, water, and energy fluxes for eleven years in two broadly representative flagship observatories with long-term histories of research, at Imnavait Creek near Toolik Lake, Alaska, and near Cherskiy, Siberia. Similar versions of these eddy covariance and biomet data are available from Ameriflux as sites US-ICx. https://ameriflux.lbl.gov/data/download-data/ Our three Imnavait Creek Alaska sites retained multiple names over the years. The following clarification is needed. The 'official' site name is followed by the technical station name (IC_xxxx), the positional name (Ridge), and the Ameriflux site name (US-ICx), and finally the site coordinates. Wet Sedge tundra (IC_1523, Fen, US-ICs) 68.6058 -149.3110 Tussock tundra (IC_1993, Tussock, US-ICt) 68.6063 -149.3041 Dry Heath tundra (IC_1991, Ridge, US-ICh) 68.6068 -149.2958
DOI: 10.18739/a2z60c36q
title: Benthic macroinfaunal samples collected from the Canadian Coast Guard Ship (CCGS) Sir Wilfrid Laurier, Northern Bering Sea to Chukchi Sea, 2017

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated “Distributed Biological Observatory” (DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological “hotspot” locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE Chukchi Sea,and DBO5-Barrow Canyon. This dataset contains benthic macroinfaunal population level from sediment samples collected at each station for the United States Coast Guard Cutter (USCGC) Healy cruise-Leg 1 in 2017, identified by station number (#), Station name (Stn. Name), Date (mm/dd/yy), latitude (°N), longitude (°W), and station depth (m). The following macroinfaunal parameters were determined: abundance, wet weight biomass (grams of wet weight per meters squared), dry weight biomass (grams of Carbon per meters squared), and taxon type.
DOI: 10.18739/a2z892g7h
title: Total dissolved gas pressure (TDGP) and O2/N2 (Oxygen/Nitrogen) data collected on a research cruise on the vessel Ocean Starr, Bering, Chukchi, and Beaufort Seas, Arctic Ocean, 2019.

description: Data were collected between August 1, 2019 and August 24, 2019 using a commercially available gas tension device (GTD) made by Pro-Oceanus (miniTDGP) connected to the surface uncontaminated seawater supply (which had a nominal intake depth of 3.5 meters) of Ocean Starr on leg 1 of Cruise identifier (ID) OS1901. Data were collected near-continuously over the cruise track which departed from Dutch Harbor, Alaska (AK) and sampled waters of the Bering and Chukchi Sea, ending in Nome, AK. The objective of Arctic IES is to understand how reductions in Arctic sea ice and the associated changes in the physical environment influence the flow of energy through the ecosystems of the Chukchi and Beaufort seas. Two research expeditions in the Beaufort and Chukchi seas during late summer and early fall 2017 and 2019 were designed to address this objective. This survey takes measurements of the: 1) physical environment (temperature, salinity, nutrients); 2) seasonal composition, distribution and production of phytoplankton (plants); 3) distribution and standing stocks of zooplankton (bird, whale, and fish food); 4) assemblages, distributions, abundances, size, diet, and fitness of larval, early juvenile, and adult fishes; and 5) distribution and relative abundances of seabirds and marine mammals. The measurements here contribute to characterizing both the chemical environment and the rate of net biological oxygen production.
DOI: 10.18739/a2zc7rw1j
title: Thermal state of permafrost in North America - annually observed ground temperatures, 2022

description: This work coordinates data collection using standard equipment and protocols at North American and Russian sites. These data sets provide the baseline to assess the future rates of change in near-surface permafrost temperatures and permafrost boundaries, and to provide spatial data for validation of climate scenario models and temperature reanalysis approaches. The work represents the United States (US) contribution to the ongoing activities of the Global Terrestrial Network for Permafrost that obtains temperatures in a large number of globally distributed monitoring sites in order to provide a snapshot of permafrost temperatures in both time and space. The US National Science Foundation funded this work with award #0520578, #0632400, #0856864, and #1304271.
DOI: 10.18739/a2zg6g83s
title: Ambient air mole fractions of selected volatile organic compounds measured in the University of Colorado container during the 2019-2020 MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition

description: This dataset contains ambient air mole fractions of selected volatile organic compounds (propane, isobutane, n-butane, isopentane, isoprene, n-pentane, benzene, and toluene) measured at a 3-hr time resolution in the Central Arctic during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. The backbone of MOSAiC was the year-round operation of the Research Vessel Polarstern that drifted with the sea ice across the Central Arctic from October 2019 to September 2020. Measurements were performed onboard Polarstern in the University of Colorado sea-container laboratory installed below deck in the forward cargo hold. A ~50 meter (m) long sampling line was deployed from the container to the bow crane to allow measurements forward of the vessel.
DOI: 10.18739/a2zp3w20j
title: Seasonal Soil Temperature from the Mobile Instrumented System Platform (MISP) and the Circumpolar Active Layer Monitoring subset (CALM) grids in Barrow and Atqasuk, Alaska 2021

description: Seasonal soil temperature measurements were collected during the 2021 growing seasons at each Circumpolar Active Layer Monitoring (CALM) grid subset plot (30) and at each Mobile Instrumented System Platform (MISP). Both of these grids are located at Utqiaġvik (formerly Barrow), Alaska as well as in Atqasuk, Alaska. For CALM measurements, at each plot one temperature measurement was acquired, the date, start and end times, and the people present were also recorded. Soil temperature measurements were taken outside of every plot on the northeastern most corner in order to reduce disturbance of vegetation using digital probing. For MISP measurements, at each grid meter one soil temperature measurement was acquired, the date, start and end times, and the people present were also recorded. Soil temperature measurements were taken on the north side of the grid in order to reduce disturbance of vegetation using digital probing. These measurements are part of the Arctic Observing Network (AON) - International Tundra Experiment (ITEX) initiative and help to document seasonal changes in surface moisture and structure at high spatial scales. Special note on coronavirus disease 2019 (COVID-19) impact: 2021 summer field work was partly restricted due to the COVID-19 ongoing pandemic. Travel to native villages required a 10 to 14-day quarantine period after arrival, prompting field work to start at later dates than usual. Despite missing June sampling dates, we consider the basic field observations a success as we received at least one complete set of field observations from each site.
DOI: 10.18739/a2zw18t7n
title: Results, Code and Data for Quantitative Assessment of Stabilizing or Destabilizing Effect of Fjord Geometry on Greenland Tidewater Glaciers 1985-2020

description: To download and unzip this dataset, manually download the file a00_download_arcticdata.py, and then run using Python3: python a00_download_arcticdata.py ~/download_location 3 NOTE: You may have to authenticate and set the TOKEN environment variable, see the "Authentication" section of: https://arcticdata.io/catalog/api This study systematically examines the stress state of Greenland tidewater glaciers based on available surface velocities, terminus positions, ice thickness and bed elevations. The von Mises Calving Law is used to assess the contributions of fjord geometry to a glacier’s stability, or lack thereof. If a glacier’s expected calving rate increases upon terminus retreat after taking into account the empirical ocean heating relationship of, then fjord geometry contributes to instability; whereas a decrease signals a stabilizing fjord contribution. This principle is used to systematically evaluate 44 Greenland tidewater glaciers. Of those glaciers, 13 were found to have fjord geometry that currently contributes to instability; 7 with stabilizing geometry; and 24 that lacked statistical significance. Although the methodology as it currently stands is able to provide insight on a variety of already-retreating glaciers, it is only able to analyze terminus positions that have already been realized in the past. Therefore, it is unable to provide insight on historically stable glaciers, or on future terminus positions for which fjord geometry might change from stabilizing to destabilizing or vice versa. Future studies involving dynamic ice models could use the methodology presented here to address those questions. Full per-glaciers results are included. Python code to download external datasets, process / plot results and repeat this study is included, along with all datasets generated by this study.
DOI: 10.21986/caida.data.2017-imc-rsdos-targets
title: CAIDA UCSD Randomly and Uniformly Spoofed Denial-of-Service Attack Metadata

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.
DOI: 10.21986/caida.data.anonymized-internet-traces
title: CAIDA UCSD Anonymized Internet Traces

description: This dataset contains anonymized passive two-way traffic traces from various CAIDA's high-speed monitors on high-speed Internet backbone links.
DOI: 10.21986/caida.data.ark-ipv4-aslinks
title: CAIDA UCSD IPv4 Routed /24 AS Links

description: Data from the IPv4 Routed /24 Topology Dataset are processed by using RouteViews BGP data to identify the Autonomous System (AS) associated with each responding IP address and collapsing the original probed IP paths into a set of links between ASes.
DOI: 10.21986/caida.data.ark-ipv4-prefix-probing
title: CAIDA UCSD IPv4 Prefix-Probing Traceroute Dataset

description: This dataset consists of daily traceroutes to every announced BGP prefix from a subset of Ark monitors. It results from CAIDA's traceroute-based measurements running on the Archipelago (Ark) measurement infrastructure. We use BGPStream to gather announced BGP prefixes from RIPE and RouteViews BGP data. Each day, we derive a new set of announced prefixes using a sliding window of 7 days of BGP data. For each announced prefix, we generate a single target address, ensuring there is never more than one target address in any prefix despite the presence of overlapping prefixes.
DOI: 10.21986/caida.data.ark-ipv4-traceroute
title: CAIDA UCSD IPv4 Routed /24 Topology

description: This dataset contains information useful for studying the topology of the Internet. Data is collected by a globally distributed set of Ark monitors. The monitors use team-probing to distribute the work of probing the destinations among the available monitors. We collect data by sending scamper probes continuously to destination IP addresses. Destinations are selected randomly from each routed IPv4 /24 prefix on the Internet such that a random address in each prefix is probed approximately every 24 hours (one probing cycle). Because team-probing distributes the probing work across all monitors, a single destination /24 will be probed by only one monitor in each probing cycle.
DOI: 10.21986/caida.data.as-facilities-mapping
title: CAIDA UCSD AS Facilities Mapping

description: This dataset created in April 2017 contains information about the geographic locations of interconnection facilities and Autonomous Systems (ASes) that have peering interconnections at those facilities. 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, and instability on the Internet.
DOI: 10.21986/caida.data.as-relationships-geo
title: CAIDA UCSD AS Relationships with Geographic Annotations

description: This fileset contains an annotated version of AS relationships dataset that estimates the geographic location of links between pairs of networks. It can be used for realistic simulation of AS path prediction, application performance estimation, predicting the likelihood that two ASes will interconnect, and visualizing the geographic distribution of networks.
DOI: 10.21986/caida.data.bgp-community-dictionary
title: CAIDA UCSD BGP Community Dictionary

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.
DOI: 10.21986/caida.data.border-mapping
title: CAIDA UCSD Border Mapping Dataset

description: This dataset consists of a set of border routers owned by the network hosting Ark Vantage Points (VPs) along with the set of neighbor routers connected to each border router. It 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.
DOI: 10.21986/caida.data.geolocated-router
title: CAIDA UCSD Geolocated Router Dataset

description: A collection of router interface IP addresses geolocated to the city level. 11,857 IP addresses were geolocated based on DNS names and 4,838 IP addresses were 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.
DOI: 10.21986/caida.data.ipv4-tnt-mpls-topology
title: CAIDA UCSD IPv4 TNT MPLS Topology

description: This dataset contains information useful for studying the topology of the Internet. Data is collected by a globally distributed set of Ark monitors. Trace the Naughty Tunnels(TNT) is an extension to Paris traceroute for revealing most (if not all) hidden Multiprotocol Label Switching (MPLS) tunnels along a path. The data collection has been implemented within scamper.
DOI: 10.21986/caida.data.ixps
title: CAIDA UCSD Internet eXchange Points Dataset

description: This dataset provides information about IXPs and their geographic locations, facilities, prefixes, and member ASes. Derived by combining information from PeeringDB, Hurricane Electric, Packet Clearing House, and GeoNames.
DOI: 10.21986/caida.data.telescope-darknet-scanners
title: CAIDA UCSD Network Telescope Darknet Scanners

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) within 5 minutes.
DOI: 10.21986/caida.data.telescope-near-real-time
title: CAIDA Near-Real-Time UCSD Network Telescope Traffic

description: Hourly compressed pcap files of raw IPv4 packets of unsolicited traffic captured by the UCSD Network Telescope instrumentation. The dataset contains near-real-time raw traces from the UCSD Network Telescope covering a 60-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 data provide opportunities to study network security-related events (DDoS attacks, worms, etc.) The size of one hourly raw data pcap file is more than 75Gb.
DOI: 10.21986/s6.caidac65v
title: CAIDA UCSD AS Rank

description: 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.
DOI: 10.5281/zenodo.7675647
title: Co enzyme Q10 and letrozole on spermiogram ‎

description: evaluate the impacts of adding coenzyme Q10 to letrozole on spermiogram<strong> </strong>
DOI: 10.5281/zenodo.7675646
title: Co enzyme Q10 and letrozole on spermiogram ‎

description: evaluate the impacts of adding coenzyme Q10 to letrozole on spermiogram<strong> </strong>
DOI: 10.25345/c5000043r
title: MassIVE MSV000089549 - GNPS - Metabolomes of Aquimarina (Flavobacteriaceae, Bacteroidetes) Species, Negative Ionization Polarity
title: Paper title: Insights into the antimicrobial activities and metabolomes of Aquimarina (Flavobacteriaceae, Bacteroidetes) species from the rare marine biosphere Author List: Silva, SG, Paula, P, da Silva, J.P, Mil-Homens, D, Teixeira, MC, Fialho, A, Costa, R, Keller-Costa, T PubMedID: Brief description of the data submitted: RAW Files and .mzXML Files used to generate Figures 4 and 5. Sample Collection Method: Supernatants of 120 mL of Aquimarina spp. cultures grown in 1:2 diluted MB at 24 degrees celsius in an incubator (Labtron) with 120 rpm orbital shaking for two days. Sample Extraction Method: liquid extracts, solid phase extraction (HLB cartridges), elution with methanol (100%); eluates were evaporated in a gentle flux of nitrogen gas and reconstituted in 500 microlitres of methanol-water (50:50 v/v). Ionization Souce and Polarity: Heated Electro-Spray Ionization source (HESI-II; Thermo Scientific). Negative Polarity. Chromatography and Phase: Thermo Scientific Accucore RP-18 column (2.1 times 100 mm, 2.6 microm), Water-Acetonitrile gradient with 0.1% formic acid.
DOI: 10.25345/c50000447
title: MassIVE MSV000089726 - Regulation of urea cycle by reversible high stoichiometry lysine succinylation
title: The posttranslational modification, lysine succinylation is implicated in the regulation of various metabolic pathways. However, its biological relevance remains uncertain due to methodological difficulties in determining high impact succinylation sites. In the present study, using stable isotope labeling and data independent acquisition mass spectrometry, we quantified lysine succinylation stoichiometries in mouse livers. Despite the low overall stoichiometry of lysine succinylation, several high stoichiometry sites were identified, especially upon deletion of the desuccinylase SIRT5. In particular, multiple high stoichiometry lysine sites identified in argininosuccinate synthase ASS1, a key enzyme in urea cycle, are regulated by SIRT5. Mutation of the high stoichiometry lysine in ASS1 to succinyl mimetic glutamic acid significantly decreased its enzymatic activity. Metabolomics profiling confirms that SIRT5 deficiency decreases urea cycle activity in liver. Importantly, SIRT5 deficiency compromises ammonia tolerance and reduces locomotor and exploratory activity in male mice upon high ammonium diet feeding. Therefore, lysine succinylation is functionally important in ammonia metabolism.
DOI: 10.25345/c5000045q
title: MassIVE MSV000089934 - LC-MS analysis of yeast metabolome extracts under rapamycin treatment and nitrogen source downshift
title: Yeast of different genotypes were exposed to nutrient downshifts either through treatment of the cells with the drug rapamycin, or by shifting the cells to media containing a poor nitrogen source.
DOI: 10.25345/c50000466
title: MassIVE Reanalysis RMSV000000668.50 - CCMS ProteoCarta MS-GF+ reanalysis of Mus musculus from Mass spectrometry-based draft of the mouse proteome (Cell_line_8024) [launched by 148d2da0ae3046aeb7af52e0653a7b24]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Mus musculus (Cell_line_8024) (MSV000089856/PXD030983).
DOI: 10.25345/c5000047p
title: MassIVE Reanalysis RMSV000000668.407 - CCMS ProteoCarta ModDecode reanalysis of Mus musculus from Mass spectrometry-based draft of the mouse proteome (Male_Trachea_proteome) [launched by ab1ddc566e8244bd975da925e6cb9107]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Mus musculus (Male_Trachea_proteome) from MSV000089856/PXD030983.