cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23721/109/1479473
title: internet_address_census_it82c-20180904 (09/04/2018 to 10/06/2018)

description: To collect this data, an Internet-wide IP address sweep was conducted. Every IP address in the ranges allocated by IANA was pinged once by sending ICMP ECHO_REQUEST (PING) packet. If the response (ICMP_ECHO_REPLY) came, its IP address was recorded in this data-set. In all, over 2.5 billion distinct IP addresses were probed during this experiment.
DOI: 10.23721/109/1479474
title: internet_address_census_it82e-20180904 (09/04/2018 to 10/09/2018)

description: To collect this data, an Internet-wide IP address sweep was conducted. Every IP address in the ranges allocated by IANA was pinged once by sending ICMP ECHO_REQUEST (PING) packet. If the response (ICMP_ECHO_REPLY) came, its IP address was recorded in this data-set. In all, over 2.5 billion distinct IP addresses were probed during this experiment.
DOI: 10.17632/z6ddxpnv9j.1
title: Data for: Bridge-Based Remote Sensing of NOx Emissions from Locomotives

description: NOx emission factors for individually identified, in-use locomotives
DOI: 10.23721/109/1479475
title: internet_address_census_it82g-20180904 (09/04/2018 to 10/07/2018)

description: To collect this data, an Internet-wide IP address sweep was conducted. Every IP address in the ranges allocated by IANA was pinged once by sending ICMP ECHO_REQUEST (PING) packet. If the response (ICMP_ECHO_REPLY) came, its IP address was recorded in this data-set. In all, over 2.5 billion distinct IP addresses were probed during this experiment.
DOI: 10.23721/109/1479476
title: internet_address_census_it82j-20180904 (09/04/2018 to 10/07/2018)

description: To collect this data, an Internet-wide IP address sweep was conducted. Every IP address in the ranges allocated by IANA was pinged once by sending ICMP ECHO_REQUEST (PING) packet. If the response (ICMP_ECHO_REPLY) came, its IP address was recorded in this data-set. In all, over 2.5 billion distinct IP addresses were probed during this experiment.
DOI: 10.23721/109/1479477
title: internet_address_census_it82n-20180904 (09/04/2018 to 10/06/2018)

description: To collect this data, an Internet-wide IP address sweep was conducted. Every IP address in the ranges allocated by IANA was pinged once by sending ICMP ECHO_REQUEST (PING) packet. If the response (ICMP_ECHO_REPLY) came, its IP address was recorded in this data-set. In all, over 2.5 billion distinct IP addresses were probed during this experiment.
DOI: 10.23721/109/1479478
title: internet_address_census_it82w-20180904 (09/04/2018 to 10/06/2018)

description: To collect this data, an Internet-wide IP address sweep was conducted. Every IP address in the ranges allocated by IANA was pinged once by sending ICMP ECHO_REQUEST (PING) packet. If the response (ICMP_ECHO_REPLY) came, its IP address was recorded in this data-set. In all, over 2.5 billion distinct IP addresses were probed during this experiment.
DOI: 10.23721/109/1479479
title: internet_address_history_it82w-20180904 (12/02/2015 to 10/06/2018)

description: This dataset, generated on 2018-10-18, contains all IPv4 addresses who ever responded to our ISI-west (w) censuses, starting from census it11w (internet_address_survey_it11w-20060307), e.g. it11w, it12w, ... Each IP address is given a history of replies (as a bit-string with 's representing ICMP_ECHO_REPLY received from this IP, and 's corresponding to no-replies. We also include numerical scores that are intended to reflect the likelihood that the given IP address will repond in the future. The scores are based on census data from it67w to it82w.
DOI: 10.23721/109/1479480
title: internet_address_hitlist_it82w-20180904 (12/02/2015 to 10/06/2018)

description: This IP hitlist was generated on 2018-10-18, based on census data from it67w to it82w. Hitlist contains one representative IP address for each /24 block which has appeared to have responsive addresses during it67w - it82w.
DOI: 10.23721/109/1479481
title: internet_address_survey_reprobing_it82c-20180919 (09/19/2018 to 10/03/2018)

description: To collect this data, a subset of Internet IP addresses was pinged by sending ICMP ECHO_REQUEST (PING) packet. The response (if it ever came within 11 minutes time interval) was recorded in this data set. Probe was repeated every 11 minutes. In all, 40491 netblocks (/24 subnets) were periodically reprobed.
DOI: 10.23721/109/1479482
title: internet_address_survey_reprobing_it82w-20180904 (09/04/2018 to 09/18/2018)

description: To collect this data, a subset of Internet IP addresses was pinged by sending ICMP ECHO_REQUEST (PING) packet. The response (if it ever came within 11 minutes time interval) was recorded in this data set. Probe was repeated every 11 minutes. In all, 40491 netblocks (/24 subnets) were periodically reprobed.
DOI: 10.3886/e101105v2-9042
title: Growing Wealth Gaps in Education

description: Prior research on trends in educational inequality has focused chiefly on changing gaps in educational attainment by family income or parental occupation. In contrast, this contribution provides the first assessment of trends in educational attainment by family wealth and suggests that we should be at least as much concerned about growing wealth gaps in education. Despite overall growth in educational attainment and some signs of decreasing wealth gaps in high school attainment and college access, I find a large and rapidly increasing wealth gap in college attainment between cohorts born in the 1970 and 1980s, respectively. This growing wealth gap in higher educational attainment co-occurred with a rise in inequality in children's wealth backgrounds, though the analyses also suggest that the latter does not fully account for the former. Nevertheless, the results reported here raise concerns about the distribution of educational opportunity among today's children who grow up in a context of particularly extreme wealth inequality.
DOI: 10.3886/e101105v2-9101
title: Growing Wealth Gaps in Education

description: Prior research on trends in educational inequality has focused chiefly on changing gaps in educational attainment by family income or parental occupation. In contrast, this contribution provides the first assessment of trends in educational attainment by family wealth and suggests that we should be at least as much concerned about growing wealth gaps in education. Despite overall growth in educational attainment and some signs of decreasing wealth gaps in high school attainment and college access, I find a large and rapidly increasing wealth gap in college attainment between cohorts born in the 1970 and 1980s, respectively. This growing wealth gap in higher educational attainment co-occurred with a rise in inequality in children's wealth backgrounds, though the analyses also suggest that the latter does not fully account for the former. Nevertheless, the results reported here raise concerns about the distribution of educational opportunity among today's children who grow up in a context of particularly extreme wealth inequality.
DOI: 10.3886/e101245v3
title: The Redistribution Hypothesis Revisited with Perceived Inequality

description: It is a long-standing puzzle whether or not changes
in economic inequality lead to changes in redistribution. However, there has
been a lack of conclusive evidence about this relationship. Moreover,
redistributive preferences as an intervening factor between inequality and
redistribution, which are taken for granted implicitly or explicitly in
redistribution theories, have been largely overlooked in the existing analyses.
Besides, recent comparative studies of inequality and redistribution have started
paying attention to inequality perceptions that deviate from actual inequality.
Thus, this inquiry aims to reconstruct the classical redistribution theory by
employing perceived inequality and preferences for redistribution and to test
the reformulated redistribution hypotheses. One of the most challenging efforts
for the analysis is to develop a country-level measure of perceived inequality.
To this end, the Gini coefficient of perceived social position (perceived Gini)
was first created by using data from 16 rounds of the International Social
Survey Programme (ISSP 1987 to 2014), covering 34 OECD countries. The empirical
results show robust evidence that perceived inequality, not actual inequality,
is significantly associated with redistributive preferences, while preferences
for redistribution do not translate into any type of redistribution.

<br>
description: OECD countriesSmallest Geographic Unit: country
DOI: 10.17632/bcv455nw7s.1
title: Data for: Model of Multiple Identity Tracking (MOMIT) 2.0: Resolving the Serial vs. Parallel Controversy in Tracking

description: Datafiles of Model of Multiple Identity Tracking (MOMIT) 2.0.
DOI: 10.5281/zenodo.1473195
title: Gemini 3D Test Data

description: Gemini 3D simulation reference data

https://www.github.com/mattzett/gemini
DOI: 10.17632/gndwhvn3m8.1
title: Data for: Young children protest against the incorrect use of words

description: Data set for paper "Young children protest against the incorrect use of novel words: Towards a normative pragmatic account on language acquisition" by Paulus & Wörle
DOI: 10.17632/92rp9shb8k.3
title: Data for: The Reclassification of Asteroids from Planets to Non-Planets

description: Data on annual occurrences of different planetary taxonomical terms in English, German and French from 1801 to 2017
DOI: 10.17632/ybd5jw9j7v.1
title: Data for: Arrhenian growth thermodynamics in a marine-derived tropical Fusarium equiseti and polar Pseudogymnoascus spp. in a liquid culture system

description: These are the raw datasets on biomass and pH measurements collected from growth studies on a marine-derived tropical strain of Fusarium equiseti and polar strains (Arctic and Antarctic) of Pseudogymnoascus spp. These strains were grown in a liquid culture system. Data are provided in the .SAV format.
DOI: 10.5281/zenodo.1475152
title: Vectors for Goode's Homolosine projection

description: This dataset contains useful vector maps to work with with Goode's Homolosine projection. The list of files included are:


	 <strong>CounterDomain.geojson</strong> - a polygonal approximation of the Homolosine projection counter-domain. This can be used to fix vectors wrongly  projected by programmes that consider the counter-domain to be infinite. It can also be used to represent the seas in global mapping.
	 <strong>ParallelsMeridians.geojson</strong> - a set of meridians and parallels to be used in the creation of global maps.
	<strong>Homolosine.crs</strong> - the PROJ string defining the Homolosine projection (referenced by the GeoJSON slides)
	<strong>LICENCE</strong> - full text of the licence (EUPL-1.2)


These datasets were generated with the open souce programme homolosine-vectors, available at: https://gitlab.com/ldesousa/homolosine-vectors
DOI: 10.5281/zenodo.1475153
title: Vectors For Goode'S Homolosine Projection

description: This dataset contains useful vector maps to work with with Goode's Homolosine projection. The list of files included are:


	 <strong>CounterDomain.geojson</strong> - a polygonal approximation of the Homolosine projection counter-domain. This can be used to fix vectors wrongly  projected by programmes that consider the counter-domain to be infinite. It can also be used to represent the seas in global mapping.
	 <strong>ParallelsMeridians.geojson</strong> - a set of meridians and parallels to be used in the creation of global maps.
	<strong>Homolosine.crs</strong> - the PROJ string defining the Homolosine projection (referenced by the GeoJSON slides)
	<strong>LICENCE</strong> - full text of the licence (EUPL-1.2)


These datasets were generated with the open souce programme homolosine-vectors, available at: https://gitlab.com/ldesousa/homolosine-vectors
DOI: 10.17632/v472z3jmmj.1
title: Data for: Changes in processes downstream of the hypothalamus are associated with seasonal follicle development in a songbird, the dark-eyed Junco (Junco hyemalis)

description: HORMONE AND GENE EXPRESSION DATA FROM FEMALE DARK-EYED JUNCOS LEADING UP TO BREEDING.
DOI: 10.17632/m8pkggrvfp.1
title: Peking_1 (2nd half) Locally Linear Embedding and fMRI feature selection for psychiatric classification

description: Only the processed resting state image and the matlab data structure (fMRIdata.mat) are included for now, due to Mendeley's data restrictions. We plan to release all of the intermediates in the near-future. This is only the (approximate) second half of the Peking_1 data set.
DOI: 10.5281/zenodo.1473615
title: Usp Zf-Ubd Crystallography Pipeline

description: The design, cloning, purification and crystallization of protein constructs of USP Zf-UBD’s for X-ray structure determination
description: Funding Acknowledgment: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.1473614
title: Usp Zf-Ubd Crystallography Pipeline

description: The design, cloning, purification and crystallization of protein constructs of USP Zf-UBD’s for X-ray structure determination
description: Funding Acknowledgment: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.15468/xdxmjo
title: CORALES
DOI: 10.25625/x3xoqf
title: VF Termination

description: This data set contains exemplary video files of defibrillation attempts. The recordings show pig and rabbit hearts. A processed optical signal is shown depicting changes of the membrane voltage and dominant frequency maps are shown for 1s time windows accordingly. For details on the measurements and the analysis please refer to the PhD thesis by H. tom Wörden given in the references. (2018)
DOI: 10.25625/x3xoqf/j0nw0a
title: 2018-02-15T210345_85V.mp4
DOI: 10.25625/x3xoqf/ks5vbs
title: 2018-02-15T210401_85V.mp4
DOI: 10.25625/airjt1/1ua50v
title: activation_2018-05-03.pdf
DOI: 10.25625/airjt1/ehqotd
title: activation_2018-05-23.pdf
DOI: 10.25625/airjt1/engpp8
title: synchronization_2018-04-05.pdf
DOI: 10.25625/airjt1/fpwiyn
title: activation_2018-05-07.pdf
DOI: 10.25625/airjt1/nfplvo
title: synchronization_2018-05-03.pdf
DOI: 10.25625/airjt1/voizrk
title: synchronization_2018-05-07.pdf
DOI: 10.25625/airjt1/zwissw
title: synchronization_2018-05-23.pdf
DOI: 10.25625/x3xoqf/isct23
title: 2017-02-02T130519_Syncrolation.mp4
DOI: 10.5061/dryad.r36cn90/5
title: MACCR_entities.tsv

description: This file contains named entities (MeSH descriptors and SNOMED CT terms) identified within the metadata records in the MACCR set. Terms up to three words in length were identified. Terms are separated by the field of the primary MACCR file in which they were identified; these headings have identical names in this file.
MeSH terms correspond to the 2018 version of MeSH.
Please note that the U.S. National Library of Medicine is the creator, maintainer, and provider of MeSH. No proprietary rights to any MeSH content are claimed.
DOI: 10.5061/dryad.r36cn90/7
title: MACCR_mesh.tsv

description: This file contains the MeSH descriptors associated with all source clinical case reports used in assembly of the MACCR set. Each row contains a single descriptor, followed by its single-letter category. All terms are unique and are not repeated. Modifiers are not included. Terms correspond to the 2018 version of MeSH.
Please note that the U.S. National Library of Medicine is the creator, maintainer, and provider of MeSH. No proprietary rights to any MeSH content are claimed.
DOI: 10.5061/dryad.r36cn90/8
title: MACCRs.tsv

description: This file contains 3,100 sets of metadata extracted from clinical case reports. Each metadata record includes information identifying the source report, text corresponding to high-level medical concepts, and funding details.
DOI: 10.25625/airjt1/2v2ofq
title: synchronization_2018-02-27.pdf
DOI: 10.25625/airjt1/7pfdym
title: synchronization_2018-02-14.pdf
DOI: 10.25625/airjt1/9louir
title: activation_2018-02-14.pdf
DOI: 10.25625/airjt1/ascmvp
title: activation_2018-02-15.pdf
DOI: 10.25625/airjt1/jcpyd0
title: activation_2018-04-05.pdf
DOI: 10.25625/airjt1/kcsvqc
title: synchronization_2018-02-28.pdf
DOI: 10.25625/airjt1/m4vnck
title: activation_2018-02-27.pdf
DOI: 10.25625/airjt1/vj9x1z
title: activation_2018-02-28.pdf
DOI: 10.25625/airjt1/znkkbv
title: synchronization_2018-02-15.pdf
DOI: 10.25625/airjt1/7zxkkc
title: activation_2017-10-19.pdf
DOI: 10.25625/airjt1/d9mhiv
title: activation_2018-02-13.pdf
DOI: 10.25625/airjt1/gpvmrb
title: synchronization_2017-10-25.pdf
DOI: 10.25625/airjt1/hcgpn6
title: synchronization_2017-10-17.pdf
DOI: 10.25625/airjt1/hyzoew
title: synchronization_2017-08-23.pdf
DOI: 10.25625/airjt1/kf4g7r
title: activation_2017-10-17.pdf
DOI: 10.25625/airjt1/lwejrd
title: activation_2017-08-23.pdf
DOI: 10.25625/airjt1/r1coaz
title: synchronization_2018-02-13.pdf
DOI: 10.25625/airjt1/sl21gn
title: activation_2017-10-25.pdf
DOI: 10.25625/airjt1/xm84vz
title: synchronization_2017-10-19.pdf
DOI: 10.5281/zenodo.1450535
title: Youthblocs_Dataset

description: This dataset includes qualitative data which were collected within the Youthblocs Project.

Data have been anonymised to safeguard participant's privacy. 

The Youthblocs project receives funding from the European Union's Horizon 2020 MSCA Programme (https://cordis.europa.eu/project/rcn/202750_it.html).
DOI: 10.5281/zenodo.1450536
title: Youthblocs_Dataset

description: This dataset includes qualitative data which were collected within the Youthblocs Project.

Data have been anonymised to safeguard participant's privacy. 

The Youthblocs project receives funding from the European Union's Horizon 2020 MSCA Programme (https://cordis.europa.eu/project/rcn/202750_it.html).
DOI: 10.25625/airjt1/cizogl
title: synchronization_2017-04-28.pdf
DOI: 10.25625/airjt1/gpwfqo
title: activation_2017-05-08.pdf
DOI: 10.25625/airjt1/gtnnkh
title: synchronization_2017-05-03.pdf
DOI: 10.25625/airjt1/j2gbci
title: synchronization_2017-04-26.pdf
DOI: 10.25625/airjt1/likkeg
title: activation_2017-04-26.pdf
DOI: 10.25625/airjt1/nmrfe3
title: activation_2017-05-03.pdf
DOI: 10.25625/airjt1/qklhha
title: synchronization_2017-04-20.pdf
DOI: 10.25625/airjt1/wbqumn
title: synchronization_2017-05-08.pdf
DOI: 10.25625/airjt1/ygwue2
title: activation_2017-04-28.pdf
DOI: 10.25625/airjt1/8x8qt0
title: activation_2017-03-17.pdf
DOI: 10.25625/airjt1/absrxu
title: activation_2017-03-15.pdf
DOI: 10.25625/airjt1/byyxqw
title: activation_2017-04-20.pdf
DOI: 10.25625/airjt1/ieckyd
title: activation_2017-03-13.pdf
DOI: 10.25625/airjt1/spjl8k
title: synchronization_2017-03-17.pdf
DOI: 10.25625/airjt1/vctmfw
title: synchronization_2017-02-02.pdf
DOI: 10.25625/airjt1/wti2fa
title: synchronization_2017-03-13.pdf
DOI: 10.25625/airjt1/yriyg5
title: synchronization_2017-03-15.pdf
DOI: 10.25625/airjt1/3cngqz
title: activation_2017-01-18.pdf
DOI: 10.25625/airjt1/6dke8w
title: synchronization_2017-01-25.pdf
DOI: 10.25625/airjt1/ixqu2c
title: activation_2017-01-31.pdf
DOI: 10.25625/airjt1/llg8w0
title: activation_2017-02-02.pdf
DOI: 10.25625/airjt1/oiiwgt
title: activation_2017-01-19.pdf
DOI: 10.25625/airjt1/t46t0k
title: synchronization_2017-01-18.pdf
DOI: 10.25625/airjt1/voszpq
title: activation_2017-01-25.pdf
DOI: 10.25625/airjt1/vtlirg
title: synchronization_2016-12-16.pdf
DOI: 10.25625/airjt1/vvunhz
title: synchronization_2017-01-19.pdf
DOI: 10.25625/airjt1/xkqntb
title: synchronization_2017-01-31.pdf
DOI: 10.25625/airjt1
title: Synchronization by Periodic Pulses during Ventricular Fibrillation

description: This dataset contains graphs that quantify the response of heart tissue to periodic pulses during ventricular fibrillation. Files with names that start with activation show the maximum activated area, those starting with synchronization show the synchronized area fraction. The data of each file is from a single experiment; denoted by the date in the filename. For details on the measurements and the analysis please refer to the PhD thesis by H. tom Wörden given in the references.
DOI: 10.25625/airjt1/0kopbs
title: synchronization_2016-10-11.pdf
DOI: 10.25625/airjt1/awdahv
title: activation_2016-11-16.pdf
DOI: 10.25625/airjt1/m7eumw
title: activation_2016-10-11.pdf
DOI: 10.25625/airjt1/prttbv
title: activation_2016-12-16.pdf
DOI: 10.25625/airjt1/qutgci
title: synchronization_2016-11-16.pdf
DOI: 10.25625/airjt1/r513wf
title: synchronization_2016-11-21.pdf
DOI: 10.25625/airjt1/svii6i
title: activation_2016-11-21.pdf
DOI: 10.3886/e107044v1
title: Anti-smoking social norms are associated with increased cessation behaviours among lower and higher socioeconomic status smokers: a population-based cohort study

description: The
aims of this study were to describe the prevalence of adult smokers’
smoking-related perceptions of disapproval from family and friends, feelings of
embarrassment and close others’ quitting activity overall and across socioeconomic
status (SES) subgroups, to examine associations of these social norms with
quitting self-efficacy, urgency, intentions and behaviours, and to determine if
these associations differed by SES.

<br><br>Data were from the Victorian Tracking Survey (VTS), which is
a continuous cross-sectional telephone survey of Victorian adults aged 18-59
years who were smokers (currently smoked daily or weekly, or smoked monthly or
less-than-monthly but self-identified as a smoker) or recent quitters (quit in
the last year). The VTS monitors recall of state-funded anti-tobacco mass media
campaigns and smoking-related cognitions and behaviours. <br>

<br>Participants were recruited for the baseline interview using
a dual-frame probability sampling design, with half of all participants
approached via landline and half via mobile phone random digit dialling.
Telephone interviews were conducted in English, and only participants who reported
watching any free-to-air commercial television on an average weekday were
eligible to participate. The mean monthly baseline response rate, adjusted for
those who declined to be formally screened but may have been in-scope for the
interview, was 42%. <br>

<br>For the first three years of this survey (January 2012 to
November 2014) participants were contacted for participation in a follow-up
interview approximately one week after the baseline interview, only if during
their baseline interview they recalled one of the state-funded advertisements
that had been broadcast. Of 2,363 baseline smokers who were eligible for
follow-up (i.e. recalled an advertisement and were not a recent quitter), 1,434
were successfully re-interviewed (61%) (n(weighted) = 1,459). A total of 1,348
participants had complete data on all predictors, outcomes and covariates of
interest for the current study and were included in this dataset (n(weighted) =
1,373). <br>

<br>For analyses, data were weighted to account for
telephony status (landline or mobile phone), sex and age, according to
estimates of these distributions from a representative sample of smokers and
recent quitters collected in the Victorian Smoking and Health Survey in
November/early December each year [1].

<br>







[1] Hayes L, Durkin S, Bain E, Wakefield M.
Smoking prevalence and consumption in Victoria: key findings from the Victorian
Smoking and Health population surveys. CBRC Research Paper Series No.47.
Melbourne, Australia: Centre for Behavioural Research in Cancer, Cancer Council
of Victoria, Prepared for: Quit Victoria; 2016 December.