cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/98aa-sh66
title: Border Gateway Protocol routing records from Reseaux IP Europeens (RIPE) and BCNET

description: Three well-known Boarder Gateway Anomalies (BGP) anomalies Slammer, Nimda, and Code Red I occurred in January 2003, September 2001, and July 2001, respectively. The Reseaux IP Europeens (RIPE) BGP update messages are publicly available from the Network Coordination Centre (NCC)and contain Slammer, Nimda, Code Red I, and regular data: https://www.ripe.net/analyse/. Regular data are also collected from BCNET: http://www.bc.net/.Slammer infected Microsoft SQL servers through a small piece of code that generated IP addresses at random. The number of infected machines doubled approximately every 9 seconds. Nimda exploited vulnerabilities in the Microsoft Internet Information Services (IIS) web servers for Internet Explorer 5. The worm propagated by sending an infected attachment that was automatically downloaded once the email was viewed. The Code Red I worm attacked Microsoft IIS web servers by replicating itself through IIS server weaknesses Unlike the Slammer worm, Code Red I searched for vulnerable servers to infect. The rate of infection was doubling every 37 minutes. 37 features are extracted from BGP update messages that originated from AS 513 (route collector rrc 04). The data collected during periods of Internet anomalies include five-day periods: the day of the attack as well as two days prior and two days after the attack.http://www.sfu.ca/~ljilja/cnl/projects/BGP_datasets/index.html
DOI: 10.21227/n2tg-j182
title: Border Gateway Protocol routing records from Reseaux IP Europeens (RIPE) and BCNET

description: Three well-known Boarder Gateway Anomalies (BGP) anomalies Slammer, Nimda, and Code Red I occurred in January 2003, September 2001, and July 2001, respectively. The Reseaux IP Europeens (RIPE) BGP update messages are publicly available from the Network Coordination Centre (NCC)and contain Slammer, Nimda, Code Red I, and regular data: https://www.ripe.net/analyse/. Regular data are also collected from BCNET: http://www.bc.net/.Slammer infected Microsoft SQL servers through a small piece of code that generated IP addresses at random. The number of infected machines doubled approximately every 9 seconds. Nimda exploited vulnerabilities in the Microsoft Internet Information Services (IIS) web servers for Internet Explorer 5. The worm propagated by sending an infected attachment that was automatically downloaded once the email was viewed. The Code Red I worm attacked Microsoft IIS web servers by replicating itself through IIS server weaknesses Unlike the Slammer worm, Code Red I searched for vulnerable servers to infect. The rate of infection was doubling every 37 minutes. 37 features are extracted from BGP update messages that originated from AS 513 (route collector rrc 04). The data collected during periods of Internet anomalies include five-day periods: the day of the attack as well as two days prior and two days after the attack.http://www.sfu.ca/~ljilja/cnl/projects/BGP_datasets/index.html
DOI: 10.3886/e104165v1-21523
title: The National Study of Neighborhood Parks

description: This data is from the National Study of Neighborhood Parks and includes 2 waves of data. IN 2014 data were collected from 174 parks in 25 cities. In 2016 data were collected from 193 parks in 27 cities. The data include observations of parks following a SOPARC protocol, as well as summaries of park characteristics and conditions. <br>
description: Response Rates: n/a
description: coded on-site observation~~
description: Smallest Geographic Unit: cities
description: Study design We used a two-stage stratified sampling strategy to select a representative sample of neighborhood parks in the US cities with a population of at least 100,000 according to the 2010 Census.28 The total 289 cities were divided into nine strata, with eight strata based on population (200,000-1,000,000, and 100,000-200,000) and region (West, Northeast, Midwest, and South), and the ninth stratum comprising cities with more than 1 million population. In the first sampling stage we randomly drew 25 cities from the 9 strata (see Appendices). All states were in the sampling frame, and by chance all sampled cities were in the 48 continental states. In each of the 25 selected cities we retrieved a list of public parks, either directly supplied by the city’s Department of Recreation and Parks or from their website. We restricted selection to avoid parks in close proximity (&lt; 1 mile from each other) and to ensure distributions of chosen parks were similar with regard to sizes and local poverty rates for all neighborhood parks within each city. We initially targeted parks between 3 and 20 acres,9 but in nearly half the cities large numbers of neighborhood parks were slightly below 3 acres or just above 20 acres. As a result, we relaxed the selection criteria to include ten parks below 3 acres (between 2.2 and 2.9 acres) in eight cities and five parks above 20 acres (between 20.1 and 23.0 acres) in five cities. We included 174 parks, representing approximately a 10% sample of all eligible neighborhood parks in the sampled cities. We excluded parks located in a census tract with no or very few residents (airport, prison, military base, hospital, industry facility, etc.), pocket parks (smaller than 2 or 3 acres), regional parks (larger than 20 or 23 acres in some cities), parks used as school fields during business hours, and parks serving special purposes only (parkways, boxing gyms, etc.). We replaced 2 parks that police said were unsafe for staff to visit.
DOI: 10.14469/hpc/6632
title: Benzene 7A1g UCCSD/Def2-SVP Kekule B2u mode = 1361 cm-1

description: Gaussian 16 calculation
DOI: 10.17632/htzjvfv3wn.1
title: Data for: Supported ionic liquid membranes for the separation of methanol/dimethyl carbonate mixtures by pervaporation

description: Pervaporation data using supported ionic liquid membranes for the separation of methanol-DMC mixtures
DOI: 10.17632/mhn7sd538m.1
title: Data for: ZIF Filled PDMS Mixed Matrix Membranes for Separation of Solvent Vapors from Nitrogen

description: Support Information
DOI: 10.7910/dvn/za6gmb/hsifis
title: loss_vim2.png

description: :unav
DOI: 10.5281/zenodo.3597529
title: Gene Ontology Data Archive

description: Archival bundle of GO data release.
description: {"references": ["Ashburner et al. Gene ontology: tool for the unification of biology (2000) Nat Genet 25(1):25-9. Online at Nature Genetics.", "GO Consortium, Nucleic Acids Res., 2017"]}
DOI: 10.5281/zenodo.3597530
title: Gene Ontology Data Reference

description: Referential manifest of GO data releases.
description: {"references": ["Ashburner et al. Gene ontology: tool for the unification of biology (2000) Nat Genet 25(1):25-9. Online at Nature Genetics.", "GO Consortium, Nucleic Acids Res., 2017"]}
DOI: 10.14469/hpc/6626
title: Benzene 5A1g UCCSD/Def2-SVP Kekule B2u mode = 1600 cm-1

description: Gaussian Calculation
DOI: 10.17632/bwptvj2cmz.1
title: Data for: Statistical Modeling with Litter as a Random Effect in Mixed Models to Manage “Intralitter Likeness”

description: The data files here included are simulated data, the ranges for which were based on data from studies of C57BL6J mice, previously analyzed and published. The files include one data set of N = 180 from 30 litters, 3 treatment groups, 10 litters per treatment, 6 mice per litter, with equal numbers of males (n = 3) and females (n = 3) per litter. Also provided are 4 data sets of N = 60 each, that were drawn from the larger data set of N = 180, and which include 1 "representative" male and 1 "representative" female per litter. Each data set includes five variables: mouse ID, litter, sex, group, and body weight at post-natal day 21. *These datasets were created solely for the purpose of demonstrating differences in statistical modeling when litter clusters complicate data analysis. Please see complete manuscript for a full discussion of the topic.
DOI: 10.6073/pasta/0d4e50834b2ac5b2f6ecb9446c58c03f
title: SBC LTER: Kelp Removal Experiment: Hourly photon irradiance at the surface and seafloor

description: These data represent mean hourly values of photosynthetically active radiation (PAR) (in units of mol m -2 s -1 ) at the sea surface and the sea floor at SBC LTER kelp removal experiment sites. Sensors record instantaneous irradiance at one-minute intervals, and data are averaged hourly. Sensors are mounted on the sea floor at five sites (Arroyo Quemado, Carpinteria, Naples Reef, Isla Vista, and Mohawk Reef). A surface sensor is deployed on an unobstructed coastal rooftop at the UC Santa Barbara campus; some historical observations are available from sensors mounted above the sea surface at a subset of the five sites.
DOI: 10.25345/c5b693
title: MassIVE MSV000084751 - GNPS_Butanol extract from Stereospermum accuminatissimum-4
title: Dereplication of Stereospermum Accuminatissimum for isolation of compound from lignan class.
DOI: 10.17632/bm8ykwjvsp.1
title: Data for: Updating urban design floods for changes in central tendency and variability using regression

description: Results for 202 USGS annual instantaneous peak flow records. [Draft, submitted on March 24, 2019]
DOI: 10.17632/fw8wy6kdff.1
title: Data (raw data) for: Risk Assessment and Management via Multi-source Information Fusion for Undersea Tunnel Construction

description: These are raw data. We selected the actual quality data of the jobsite from May 2017 to January 2018 to prove the actual basis of the study.Line 75 (marked yellow line) is the shield tunneling parameters of ring 343, the ring where the cutter disc accident occurred.This is also the quality data used in this paper. The rest of the index data is obtained from geological investigation report, material records, work records and personnel testing, which are a lot of files and can be upload later if necessary.
DOI: 10.17632/jwbkt4kmnz.1
title: Data (measured value) for: Risk Assessment and Management via Multi-source Information Fusion for Undersea Tunnel Construction

description: Here is the 4M1E system data obtained at the site, which is used as the measured value to support the calculation results, in the Discussion section, line 591-615 of this paper. Data for 8 days from October to November 2018 were randomly selected, and the risk level was calculated according to these data. The results were consistent with the actual situation, so as to prove the validity and applicability of the undersea tunnel construction risk evaluation system.
DOI: 10.5519/qd.tmma0ikb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (259218 records)
DOI: 10.5281/zenodo.3597520
title: Sedimentation inhibits macroalgal priming on an emergent plant decomposition in the littoral zone of an eutrophic lake, China

description: The data presented in this manuscript (MS# 2020JG005630) are original and are available in zondo.
DOI: 10.5281/zenodo.3597589
title: Sedimentation inhibits macroalgal priming on an emergent plant decomposition in the littoral zone of an eutrophic lake, China

description: These are the original data for the Manuscript "<strong>Sedimentation inhibits macroalgal priming on an emergent plant decomposition in the littoral zone of a eutrophic lake, China</strong>" (MS#2020JG005630) submitted to the Journal of Geophysical Research-Biogeoscience.
DOI: 10.5281/zenodo.3597590
title: Sedimentation inhibits macroalgal priming on an emergent plant decomposition in the littoral zone of an eutrophic lake, China

description: These are the original data for the Manuscript "<strong>Sedimentation inhibits macroalgal priming on an emergent plant decomposition in the littoral zone of a eutrophic lake, China</strong>" (MS#2020JG005630) submitted to the Journal of Geophysical Research-Biogeoscience.
DOI: 10.7910/dvn/okfufc/szmtk7
title: Brito et al. 2020 dataset.tab

description: :unav
DOI: 10.5281/zenodo.3597519
title: Sedimentation inhibits macroalgal priming on an emergent plant decomposition in the littoral zone of an eutrophic lake, China

description: The data presented in this manuscript (MS# 2020JG005630) are original and are available in zondo.
DOI: 10.5281/zenodo.3576035
title: Simulations from the LPJ-GUESS dynamic global vegetation model v3.0 for the Vegetation Carbon Turnover Intercomparison

description: Outputs from the LPJ-GUESS dynamic global vegetation model v3.0 are provided for two global simulations. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for mortality, leaf phenological turnover and fine root phenological turnover were outputted individually. For a full description of the simulations, please refer to the accompanying paper.
DOI: 10.5519/qd.fse4a2e3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5175 records)
DOI: 10.5281/zenodo.3579383
title: Simulations from the SEIB-DGVM dynamic global vegetation model for the Vegetation Carbon Turnover Intercomparison

description: Outputs from the SEIB-DGVM dynamic global vegetation model. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for each individual turnover-causing process in the model were outputted individually. For a full description of the simulations, please refer to the accompanying paper.
DOI: 10.5281/zenodo.3579395
title: Simulations from the LPJmL3.5 dynamic global vegetation model for the Vegetation Carbon Turnover Intercomparison

description: Outputs from the LPJmL3.5 dynamic global vegetation model are provided for two global simulations. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for each individual turnover-causing process in the model were outputted individually. For a full description of the simulations, please refer to the accompanying paper.
DOI: 10.5281/zenodo.3579401
title: Simulations from the ORCHIDEE dynamic global vegetation model for the Vegetation Carbon Turnover Intercomparison

description: Outputs from the ORCHIDEE dynamic global vegetation model are provided for two global simulations. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for mortality, leaf phenological turnover and fine root phenological turnover were outputted individually. For a full description of the simulations, please refer to the accompanying paper.
DOI: 10.5281/zenodo.3579374
title: Simulations from the JULES dynamic global vegetation model for the Vegetation Carbon Turnover Intercomparison

description: Outputs from the JULES dynamic global vegetation model are provided for two global simulations. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 1.875 x 1.25 degree spatial resolution. Carbon turnover fluxes for live vegetation for each individual turnover-causing process in the model were outputted individually. For a full description of the simulations, please refer to the accompanying paper.
DOI: 10.5281/zenodo.3579406
title: Simulations from the CABLE-POP land surface model for the Vegetation Carbon Turnover Intercomparison

description: Outputs from the CABLE-POP land surface model are provided for two global simulations. One forced by CRU-NCEP v7 climate data for the period 1901-2015 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Landcover was fixed at 1700 values throughout the simulations. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for each individual turnover-causing process in the model were outputted individually. For a full description of the simulations, please refer to the accompanying paper.
DOI: 10.14469/hpc/6630
title: Benzene 5A1g ROCCSD/Def2-SVP Kekule mode =1599 cm-1

description: Gaussian Calculation
DOI: 10.5281/zenodo.3591579
title: A Wikipedia dataset of Ebola disease related articles

description: A subset of articles extracted from the French Wikipedia (on 28/04/2019). Data published here include articles related to Ebola and some tropical related diseases. Each article is a UTF8 plain text.
DOI: 10.5281/zenodo.3591580
title: A Wikipedia dataset of Ebola disease related articles

description: A subset of articles extracted from the French Wikipedia (on 28/04/2019). Data published here include articles related to Ebola and some tropical related diseases. Each article is a UTF8 plain text.
DOI: 10.5281/zenodo.3597559
title: yiluansong/Data-and-code-for-velocity-manuscript v1

description: No description provided.
DOI: 10.5281/zenodo.3597560
title: yiluansong/Data-and-code-for-velocity-manuscript v1

description: No description provided.
DOI: 10.5519/qd.gm9ghfhp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (333 records)
DOI: 10.14469/hpc/6633
title: benzene 5A1g ROCCSD/Def2-SVP Wiberg

description: Gaussian Calculation
DOI: 10.14469/hpc/6634
title: CBD Triplet Kekule B2g vibration 1422 cm-1

description: Force constants for B2G mode: freq 1373, RM 7.1807 FC 7.9700
DOI: 10.14469/hpc/6635
title: CBD Quintet Kekule B2g vibration 1192 cm-1

description: Force constants B2g mode, 1088, RM 7.11, FC 4.96
DOI: 10.21227/rzfx-ay81
title: FVRNS Source Code

description: The compressed file contains C++ source code for performance measurement
DOI: 10.5281/zenodo.3597726
title: NA12878 WES Benchmark dataset

description: This dataset makes available the UCSC Genome Browser (genome.ucsc.edu) GRCh37 genome build public session <strong>NA12878 WES Benchmark </strong>files in a single dataset so that these files can be used in other applications or genome browsers such as IGV. The "Procedure and datasets to cross-reference OMIM genes with the genomic regions of interest" Galaxy page on <strong>usegalaxy.org</strong> server's <em><strong>Shared Data Pages</strong></em> describes practical procedure and several possible use cases for this data set. This page can be accessed freely by users logged into their accounts on usegalaxy.org. Please register if you don't have an account on usegalaxy.org Galaxy server. All genomic variant calls in all VCF files of this data set were decomposed and normalized with vt. This dataset contains: Genome in a bottle (GIAB) version 3.3.2 high confidence (HC) variant calls and genomic regions for HapMap individual NA12878 : GIAB_v3.3.2_NA12878-decomposed-normalized.vcf.gz GIAB_v3.3.2_NA12878-decomposed-normalized.vcf.gz.tbi GIAB_v3.3.2_NA12878_HC_regions.bed HapMap individual NA12878 WES variant calls (VCF) and capture regions (BED) from diagnostic laboratories : ARUP whole exome sequencing data (HiSeq 2000) publically available from NCBI GeT-RM Browser converted_ARUP_NA12878_Exome-decomposed-normalized.vcf.gz converted_ARUP_NA12878_Exome-decomposed-normalized.vcf.gz.tbi ARUP_SeqCap_EZ_Exome.bed UCSF whole exome sequencing data (HiSeq 2500) publically available from NCBI GeT-RM Browser converted_UCSF_NA12878_WES_Agilent_V4_Custom-decomposed-normalized.vcf.gz converted_UCSF_NA12878_WES_Agilent_V4_Custom-decomposed-normalized.vcf.gz.tbi UCSF_WES_Agilent_V4_Custom.bed Whole exome data (NextSeq 500) sequenced in CHEO diagnostic laboratory CHEO_NA12878_WES_S1dataset.vcf.gz CHEO_NA12878_WES_S1dataset.vcf.gz.tbi Agilent_CRE_v2.bed Genomic coordinates (BED) of OMIM genes for which a molecular basis of the associated disease is known (as of September 2019) : Omim_Genes.bed
description: {"references": ["Pranckeviciene E, Potter R, Huang L, Jarinova O. Validation of bcbio-nextgen Pipeline Based on NextSeq500 Exome Sequencing. In 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) 2019 May 19 (pp. 1-6). IEEE."]}
DOI: 10.5281/zenodo.3597727
title: NA12878 WES Benchmark dataset

description: This dataset makes available the UCSC Genome Browser (genome.ucsc.edu) GRCh37 genome build public session <strong>NA12878 WES Benchmark </strong>files in a single dataset so that these files can be used in other applications or genome browsers such as IGV. All genomic variant calls in all VCF files were decomposed and normalized with vt. This dataset contains: Genome in a bottle (GIAB) version 3.3.2 high confidence (HC) variant calls and genomic regions for HapMap individual NA12878 : GIAB_v3.3.2_NA12878-decomposed-normalized.vcf.gz GIAB_v3.3.2_NA12878-decomposed-normalized.vcf.gz.tbi GIAB_v3.3.2_NA12878_HC_regions.bed HapMap individual NA12878 WES variant calls (VCF) and capture regions (BED) from diagnostic laboratories : ARUP whole exome sequencing data (HiSeq 2000) publically available from NCBI GeT-RM Browser converted_ARUP_NA12878_Exome-decomposed-normalized.vcf.gz converted_ARUP_NA12878_Exome-decomposed-normalized.vcf.gz.tbi ARUP_SeqCap_EZ_Exome.bed UCSF whole exome sequencing data (HiSeq 2500) publically available from NCBI GeT-RM Browser converted_UCSF_NA12878_WES_Agilent_V4_Custom-decomposed-normalized.vcf.gz converted_UCSF_NA12878_WES_Agilent_V4_Custom-decomposed-normalized.vcf.gz.tbi UCSF_WES_Agilent_V4_Custom.bed Whole exome data (NextSeq 500) sequenced in CHEO diagnostic laboratory CHEO_NA12878_WES_S1dataset.vcf.gz CHEO_NA12878_WES_S1dataset.vcf.gz.tbi Agilent_CRE_v2.bed Genomic coordinates (BED) of OMIM genes for which a molecular basis of the associated disease is known (as of September 2019) : Omim_Genes.bed
description: {"references": ["Pranckeviciene E, Potter R, Huang L, Jarinova O. Validation of bcbio-nextgen Pipeline Based on NextSeq500 Exome Sequencing. In 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) 2019 May 19 (pp. 1-6). IEEE."]}
DOI: 10.14469/hpc/6636
title: CBD 5B1g Quintet Def2-TZVPP Kekule mode B2g 1177 cm-1

description: Gaussian Calculation
DOI: 10.14469/hpc/6637
title: COD 3Ag Triplet B2g vibration 1777 cm-1

description: Gaussian Calculation
DOI: 10.5519/qd.a1817hrm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (778 records)
DOI: 10.7910/dvn/typzmy/tnmhm9
title: Article for World Economy (FDI and FMD).tab

description: :unav
DOI: 10.7910/dvn/typzmy/wrpdhp
title: Article for World Economy (FDI and FMD).do

description: :unav
DOI: 10.7910/dvn/typzmy/hmkdr1
title: Article for World Economy (FDI and FMD) tax havens origins.tab

description: :unav
DOI: 10.7910/dvn/typzmy/v6uykf
title: top_fin_sampleperiod_origin.tab

description: :unav
DOI: 10.5281/zenodo.3597942
title: IO Islamic 136. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times

description: IO Islamic 136. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times
DOI: 10.5281/zenodo.3597943
title: IO Islamic 136. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times

description: IO Islamic 136. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times
DOI: 10.5281/zenodo.3597950
title: IO Islamic 1128. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times

description: IO Islamic 1128. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times
DOI: 10.5281/zenodo.3597951
title: IO Islamic 1128. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times

description: IO Islamic 1128. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times