cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4391040
title: Antromysis cenotensis occurrences/records

description: Records/occurrences for the species <em>Antromysis cenotensis</em> (Crustacea: Peracarida)
DOI: 10.6084/m9.figshare.13487097
title: Bibliography - A SYSTEMATIC BUSINESS INTELLIGENCE LITERATURE SURVEY USING MACHINE LEARNING TECNIQUES.draft1.docx

description: To accompany our paper.
DOI: 10.6084/m9.figshare.13487097.v1
title: Bibliography - A SYSTEMATIC BUSINESS INTELLIGENCE LITERATURE SURVEY USING MACHINE LEARNING TECNIQUES.draft1.docx

description: To accompany our paper.
DOI: 10.6084/m9.figshare.12782453
title: Supplemental File 4. Discharge and Follow-up Care Codebook

description: Codebook from the Pediatric Discharge and Follow-up Care study
DOI: 10.6084/m9.figshare.12782453.v3
title: Supplemental File 4. Discharge and Follow-up Care Codebook

description: Codebook from the Pediatric Discharge and Follow-up Care study
DOI: 10.6084/m9.figshare.12782453.v2
title: Supplemental File 4. Discharge and Follow-up Care Codebook

description: Codebook from the Pediatric Discharge and Follow-up Care study
DOI: 10.21258/1765011
title: Swiss national forest inventory - Result table No. 897347
DOI: 10.21258/1765366
title: Swiss national forest inventory - Result table No. 891754
DOI: 10.21258/1752372
title: Swiss national forest inventory - Result table No. 899640
DOI: 10.21258/1736961
title: Swiss national forest inventory - Result table No. 891706
DOI: 10.21258/1745361
title: Swiss national forest inventory - Result table No. 897825
DOI: 10.21258/1740070
title: Swiss national forest inventory - Result table No. 897435
DOI: 10.15468/a67s9u
title: A new species of Ceratina (Ceratinula) Moure, 1941, with notes on the taxonomy and distribution of Ceratina (Ceratinula) manni Cockerell, 1912, and an identification key for species of this subgenus known from Brazil (Hymenoptera, Apidae, Ceratinini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Oliveira, Favizia Freitas de, Silva, Livia Raquel de Sousa, Zanella, Fernando Cesar Vieira, Garcia, Caroline Tito, Pereira, Heber Luiz, Quaglierini, Claudia, Pigozzo, Camila Magalhaes (2020): A new species of Ceratina (Ceratinula) Moure, 1941, with notes on the taxonomy and distribution of Ceratina (Ceratinula) manni Cockerell, 1912, and an identification key for species of this subgenus known from Brazil (Hymenoptera, Apidae, Ceratinini). ZooKeys 1006: 137-165, DOI: http://dx.doi.org/10.3897/zookeys.1006.57599, URL: http://dx.doi.org/10.3897/zookeys.1006.57599
DOI: 10.21258/1760578
title: Swiss national forest inventory - Result table No. 899069
DOI: 10.21258/1769541
title: Swiss national forest inventory - Result table No. 893422
DOI: 10.21258/1724162
title: Swiss national forest inventory - Result table No. 897880
DOI: 10.21258/1758165
title: Swiss national forest inventory - Result table No. 897262
DOI: 10.21258/1745254
title: Swiss national forest inventory - Result table No. 899274
DOI: 10.21258/1726478
title: Swiss national forest inventory - Result table No. 897073
DOI: 10.5291/ill-data.uga-81
title: High-resolution microstructural characterization of the bone-implant interface
DOI: 10.21258/1761640
title: Swiss national forest inventory - Result table No. 898991
DOI: 10.5291/ill-data.dir-122
title: Influence of plasma treatment on Low K materials
DOI: 10.21258/1754969
title: Swiss national forest inventory - Result table No. 899297
DOI: 10.21258/1729467
title: Swiss national forest inventory - Result table No. 899456
DOI: 10.21258/1754355
title: Swiss national forest inventory - Result table No. 902166
DOI: 10.21258/1763113
title: Swiss national forest inventory - Result table No. 897093
DOI: 10.21258/1762500
title: Swiss national forest inventory - Result table No. 898236
DOI: 10.21258/1735526
title: Swiss national forest inventory - Result table No. 899549
DOI: 10.21258/1739840
title: Swiss national forest inventory - Result table No. 897728
DOI: 10.21258/1741914
title: Swiss national forest inventory - Result table No. 898250
DOI: 10.21258/1766722
title: Swiss national forest inventory - Result table No. 891947
DOI: 10.21258/1758486
title: Swiss national forest inventory - Result table No. 898542
DOI: 10.21258/1734073
title: Swiss national forest inventory - Result table No. 897531
DOI: 10.21258/1748470
title: Swiss national forest inventory - Result table No. 897155
DOI: 10.21258/1762327
title: Swiss national forest inventory - Result table No. 897636
DOI: 10.21258/1727399
title: Swiss national forest inventory - Result table No. 902103
DOI: 10.21258/1753044
title: Swiss national forest inventory - Result table No. 898826
DOI: 10.21258/1728567
title: Swiss national forest inventory - Result table No. 891987
DOI: 10.3886/e120505
title: The “Anti-Vax” Movement: A Quantitative Report on Vaccine Beliefs and Knowledge across Social Media

description: This cross sectional research explored the relationship between the spread of information regarding vaccines and social media use. A sample of 2515 people over the age of 18 around the world completed the survey via a link found on Twitter, Facebook and Instagram. A series of questions on vaccine knowledge and beliefs were compounded to create an individual's "knowledge score" and a "belief score". Knowledge scores were ranked from low knowledge to high knowledge with increasing scores. Belief scores were ranked from belief in myths to disbelief in myths with higher scores. This score was then analysed, using a Welch test and post hoc testing when applicable, across demographics and questions relating to social media use. <br> <br>
description: All data analysis was conducted using IBM’s SPSS. Significance testing was performed using the Welch test. This test was chosen based on the negatively skewed data distribution with non-homogeneity of variances and sample sizes (Fagerland and Sandvik, 2009). The Welch test has historically been shown to better control Type 1 error for these parameters compared to other tests (Tomarken and Serlin, 1986). Post hoc analysis was completed with Games Howell due to its robustness and utility in non-normal distributions (Hilton and Armstrong, 2006).
description: Presence of Common Scales: The first half of the survey consisted of demographics and questions pertaining to use of social media and its relation to vaccine information. The latter half of the survey had six questions relating to vaccine knowledge and six questions relating to vaccine myths. <br> The six vaccine knowledge questions were scored on a two point scale. Questions were scored by awarding two points for the answer of belief in the vaccine statement, one point for uncertainty, and zero points for the answer of disbelief in the statement. All questions were then totaled for a score on a 12 point scale. Higher values suggesting adequate vaccine knowledge and lower values suggesting inadequate vaccine knowledge. This score could then be appropriately analyzed.<br> The six vaccine belief questions were scored on a two point scale. Two points were given for the answer choice “disbelief in the vaccine statement”, one point for uncertainty, and zero points for the answer of belief in the statement. All questions were then totaled for a score on a twelve-point scale. Higher values of disbelief in common myths, whereas lower values indicated a belief in common myths. This score could then be appropriately analyzed.
description: Snowball sampling of social media users was used. Snowball sampling was used to help perpetuate the survey through social media, where social media is the quality of referral. The study population was aimed at being as demographically diverse as possible among people who use social media.
DOI: 10.3886/e120505v2
title: The “Anti-Vax” Movement: A Quantitative Report on Vaccine Beliefs and Knowledge across Social Media

description: This cross sectional research explored the relationship between the spread of information regarding vaccines and social media use. A sample of 2515 people over the age of 18 around the world completed the survey via a link found on Twitter, Facebook and Instagram. A series of questions on vaccine knowledge and beliefs were compounded to create an individual's "knowledge score" and a "belief score". Knowledge scores were ranked from low knowledge to high knowledge with increasing scores. Belief scores were ranked from belief in myths to disbelief in myths with higher scores. This score was then analysed, using a Welch test and post hoc testing when applicable, across demographics and questions relating to social media use. <br> <br>
description: All data analysis was conducted using IBM’s SPSS. Significance testing was performed using the Welch test. This test was chosen based on the negatively skewed data distribution with non-homogeneity of variances and sample sizes (Fagerland and Sandvik, 2009). The Welch test has historically been shown to better control Type 1 error for these parameters compared to other tests (Tomarken and Serlin, 1986). Post hoc analysis was completed with Games Howell due to its robustness and utility in non-normal distributions (Hilton and Armstrong, 2006).
description: Presence of Common Scales: The first half of the survey consisted of demographics and questions pertaining to use of social media and its relation to vaccine information. The latter half of the survey had six questions relating to vaccine knowledge and six questions relating to vaccine myths. <br> The six vaccine knowledge questions were scored on a two point scale. Questions were scored by awarding two points for the answer of belief in the vaccine statement, one point for uncertainty, and zero points for the answer of disbelief in the statement. All questions were then totaled for a score on a 12 point scale. Higher values suggesting adequate vaccine knowledge and lower values suggesting inadequate vaccine knowledge. This score could then be appropriately analyzed.<br> The six vaccine belief questions were scored on a two point scale. Two points were given for the answer choice “disbelief in the vaccine statement”, one point for uncertainty, and zero points for the answer of belief in the statement. All questions were then totaled for a score on a twelve-point scale. Higher values of disbelief in common myths, whereas lower values indicated a belief in common myths. This score could then be appropriately analyzed.
description: Snowball sampling of social media users was used. Snowball sampling was used to help perpetuate the survey through social media, where social media is the quality of referral. The study population was aimed at being as demographically diverse as possible among people who use social media.
DOI: 10.3886/e129521
title: Measuring Consumption in the United States

description: In this replication packet, we provide the code to replicate our main household-level consumption dataset from the Consumer Expenditure Interview Survey (CE) from 1960 to 2019. These data are used in several studies, which are listed in the references section of the README.pdf document, and for our measure of consumption poverty reported on our dashboard at http://povertymeasurement.org/dashboard/. This packet includes the final dataset as well as the code and instructions for how this dataset was created.
DOI: 10.3886/e129521v1
title: Measuring Consumption in the United States

description: In this replication packet, we provide the code to replicate our main household-level consumption dataset from the Consumer Expenditure Interview Survey (CE) from 1960 to 2019. These data are used in several studies, which are listed in the references section of the README.pdf document, and for our measure of consumption poverty reported on our dashboard at http://povertymeasurement.org/dashboard/. This packet includes the final dataset as well as the code and instructions for how this dataset was created.
DOI: 10.21258/1738581
title: Swiss national forest inventory - Result table No. 891820
DOI: 10.21258/1764557
title: Swiss national forest inventory - Result table No. 897954
DOI: 10.21258/1766156
title: Swiss national forest inventory - Result table No. 899240
DOI: 10.21258/1752301
title: Swiss national forest inventory - Result table No. 897565
DOI: 10.21258/1726972
title: Swiss national forest inventory - Result table No. 897764
DOI: 10.21258/1768842
title: Swiss national forest inventory - Result table No. 897575
DOI: 10.21258/1724880
title: Swiss national forest inventory - Result table No. 898928
DOI: 10.21258/1752322
title: Swiss national forest inventory - Result table No. 897705
DOI: 10.21258/1761146
title: Swiss national forest inventory - Result table No. 897952
DOI: 10.21258/1754739
title: Swiss national forest inventory - Result table No. 899379
DOI: 10.5281/zenodo.4391317
title: Dataset: Radio Frequency Characteristics of Volcanic Lightning

description: This data set contains broadband VHF waveforms of vent discharges and volcanic lightning<br> flashes collected during an explosive eruption of Sakurajima volcano in Japan on November 8,<br> 2019. Each file in the dataset is a 3 microsecond waveform. The amplitude values of the<br> waveform are in arbitrary voltage units. The sampling rate is 180 MS/s. There are two tar<br> archive files included in this data set: one for all of the vent discharge waveforms and one for all<br> of the flash waveforms. The UTC time of the waveform, corresponding to the time of the peak<br> of the waveform is included in each file name in the tar archives. The UTC time is given as<br> seconds of the day on November 8, 2020.
DOI: 10.5281/zenodo.4391316
title: Dataset: Radio Frequency Characteristics of Volcanic Lightning

description: This data set contains broadband VHF waveforms of vent discharges and volcanic lightning<br> flashes collected during an explosive eruption of Sakurajima volcano in Japan on November 8,<br> 2019. Each file in the dataset is a 3 microsecond waveform. The amplitude values of the<br> waveform are in arbitrary voltage units. The sampling rate is 180 MS/s. There are two tar<br> archive files included in this data set: one for all of the vent discharge waveforms and one for all<br> of the flash waveforms. The UTC time of the waveform, corresponding to the time of the peak<br> of the waveform is included in each file name in the tar archives. The UTC time is given as<br> seconds of the day on November 8, 2020.
DOI: 10.21258/1760073
title: Swiss national forest inventory - Result table No. 891786
DOI: 10.21258/1762219
title: Swiss national forest inventory - Result table No. 899325
DOI: 10.5281/zenodo.4391411
title: Images which should raise a WLutz error

description: Images which should raise a WLutz error
DOI: 10.21258/1764474
title: Swiss national forest inventory - Result table No. 897441
DOI: 10.21258/1734672
title: Swiss national forest inventory - Result table No. 902115
DOI: 10.21258/1729006
title: Swiss national forest inventory - Result table No. 898499
DOI: 10.21258/1756842
title: Swiss national forest inventory - Result table No. 897283
DOI: 10.5281/zenodo.3677587
title: Dataset for OBS2013-1

description: In April and May 2013, the ‘Shiptime Sharing Project of NSFC’ conducted a geophysical cruise across the Xisha Islands using the R/V ‘Shiyan 2’. During the cruise, a ~500 km long wide-angle seismic profile (OBS2013-1) striking NW-SE was acquired starting from west of the Xisha Trough and reaching the south of the Zhongsha Bank and coinciding with a multi-channel reflection seismic profile of four streamers. Thirty ocean bottom seismometers (OBS) spaced at ~15 km were deployed, among which 25 OBSs were successfully recovered and provided useful data. Four air guns with a total volume of ~98 L were deployed ~30 m behind the vessel and shot every 120 s, leading to ~300 m shot spacing at a ship speed of ~5.0 Kn.
DOI: 10.21258/1749155
title: Swiss national forest inventory - Result table No. 891955
DOI: 10.21258/1759005
title: Swiss national forest inventory - Result table No. 897694
DOI: 10.21258/1724638
title: Swiss national forest inventory - Result table No. 892964
DOI: 10.21258/1743022
title: Swiss national forest inventory - Result table No. 892071
DOI: 10.21258/1735545
title: Swiss national forest inventory - Result table No. 899121
DOI: 10.21258/1738096
title: Swiss national forest inventory - Result table No. 898034
DOI: 10.21258/1726934
title: Swiss national forest inventory - Result table No. 897116
DOI: 10.21258/1730893
title: Swiss national forest inventory - Result table No. 897909
DOI: 10.21258/1762154
title: Swiss national forest inventory - Result table No. 891942
DOI: 10.21258/1756112
title: Swiss national forest inventory - Result table No. 899460
DOI: 10.21258/1762524
title: Swiss national forest inventory - Result table No. 891926
DOI: 10.21258/1750994
title: Swiss national forest inventory - Result table No. 897906
DOI: 10.21258/1753976
title: Swiss national forest inventory - Result table No. 899383
DOI: 10.21258/1755323
title: Swiss national forest inventory - Result table No. 891894
DOI: 10.21258/1762883
title: Swiss national forest inventory - Result table No. 898860
DOI: 10.21258/1726160
title: Swiss national forest inventory - Result table No. 897889
DOI: 10.21258/1725231
title: Swiss national forest inventory - Result table No. 899202
DOI: 10.21258/1750334
title: Swiss national forest inventory - Result table No. 897730
DOI: 10.21258/1753939
title: Swiss national forest inventory - Result table No. 897741
DOI: 10.21258/1724326
title: Swiss national forest inventory - Result table No. 892907
DOI: 10.21258/1734890
title: Swiss national forest inventory - Result table No. 891756
DOI: 10.21258/1755494
title: Swiss national forest inventory - Result table No. 891708
DOI: 10.21258/1751916
title: Swiss national forest inventory - Result table No. 898154
DOI: 10.21258/1731201
title: Swiss national forest inventory - Result table No. 898798
DOI: 10.21258/1741596
title: Swiss national forest inventory - Result table No. 891916
DOI: 10.21258/1768132
title: Swiss national forest inventory - Result table No. 897499
DOI: 10.21258/1726000
title: Swiss national forest inventory - Result table No. 891732
DOI: 10.21258/1735126
title: Swiss national forest inventory - Result table No. 897520
DOI: 10.21258/1742312
title: Swiss national forest inventory - Result table No. 891914
DOI: 10.21258/1737741
title: Swiss national forest inventory - Result table No. 898481
DOI: 10.21258/1743338
title: Swiss national forest inventory - Result table No. 891881
DOI: 10.21258/1762011
title: Swiss national forest inventory - Result table No. 897016
DOI: 10.21258/1729165
title: Swiss national forest inventory - Result table No. 899203
DOI: 10.21258/1741485
title: Swiss national forest inventory - Result table No. 898815
DOI: 10.21258/1766854
title: Swiss national forest inventory - Result table No. 892939
DOI: 10.21258/1753565
title: Swiss national forest inventory - Result table No. 893070
DOI: 10.21258/1728503
title: Swiss national forest inventory - Result table No. 899345
DOI: 10.21258/1733068
title: Swiss national forest inventory - Result table No. 898470
DOI: 10.21258/1728530
title: Swiss national forest inventory - Result table No. 891997
DOI: 10.21258/1739285
title: Swiss national forest inventory - Result table No. 891798
DOI: 10.21258/1753422
title: Swiss national forest inventory - Result table No. 897498
DOI: 10.21258/1747440
title: Swiss national forest inventory - Result table No. 891941
DOI: 10.21258/1762744
title: Swiss national forest inventory - Result table No. 898337
DOI: 10.21258/1748354
title: Swiss national forest inventory - Result table No. 897684
DOI: 10.21258/1729010
title: Swiss national forest inventory - Result table No. 891774
DOI: 10.21258/1768501
title: Swiss national forest inventory - Result table No. 892008
DOI: 10.21258/1732599
title: Swiss national forest inventory - Result table No. 892900
DOI: 10.21258/1727641
title: Swiss national forest inventory - Result table No. 891738
DOI: 10.21258/1740987
title: Swiss national forest inventory - Result table No. 898775
DOI: 10.21258/1761068
title: Swiss national forest inventory - Result table No. 891729
DOI: 10.21258/1757278
title: Swiss national forest inventory - Result table No. 891685
DOI: 10.21258/1753492
title: Swiss national forest inventory - Result table No. 899458
DOI: 10.21258/1728276
title: Swiss national forest inventory - Result table No. 897683
DOI: 10.21258/1751868
title: Swiss national forest inventory - Result table No. 898177
DOI: 10.21258/1726559
title: Swiss national forest inventory - Result table No. 899475
DOI: 10.21258/1741205
title: Swiss national forest inventory - Result table No. 891825
DOI: 10.21258/1758576
title: Swiss national forest inventory - Result table No. 899035
DOI: 10.21258/1730704
title: Swiss national forest inventory - Result table No. 897884
DOI: 10.6084/m9.figshare.13487184
title: Dataset-01

description: This dataset contains the traces that were analyzed in the article "Diagnostic and troubleshooting of OpenFlow-enabled switches using kernel and userspace traces", section Usecases.
DOI: 10.6084/m9.figshare.13487184.v1
title: dataset-01

description: This dataset contains the traces that were analyzed in the article "Diagnostic and troubleshooting of OpenFlow-enabled switches using kernel and userspace traces", section Usecases.
DOI: 10.21258/1735595
title: Swiss national forest inventory - Result table No. 898197
DOI: 10.21258/1748809
title: Swiss national forest inventory - Result table No. 891763
DOI: 10.21258/1745685
title: Swiss national forest inventory - Result table No. 897599
DOI: 10.21258/1745418
title: Swiss national forest inventory - Result table No. 899053
DOI: 10.21258/1768876
title: Swiss national forest inventory - Result table No. 892987
DOI: 10.23721/109/1506030
title: internet_address_census_it87n-20190911 (2019-09-11 to 2019-10-13)

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: 10.23721/109/1506031
title: internet_address_census_it87w-20190911 (2019-09-11 to 2019-10-13)

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: 10.23721/109/1506033
title: internet_address_hitlist_it87w-20190911 (2016-10-03 to 2019-10-13)

description: This IP hitlist was generated on 2019-10-28, based on census data from it72w to it87w. Hitlist contains one representative IP address for each /24 block which has appeared to have responsive addresses during it72w - it87w.
DOI: 10.23721/109/1517648
title: internet_address_census_it88w-20191127 (2019-11-27 to 2019-12-29)

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: 10.23721/109/1518597
title: internet_outage_adaptive_a39j-20200101 (2020-01-01 to 2020-04-01)

description: To collect this data, all allocated and responsive Internet IP address blocks were pinged by sending ICMP ECHO_REQUEST (PING) packet. The block status was recorded in this data set. Probe was repeated every 11 minutes, and more quickly when uncertain about block status. In all, approximately 3.5M /24 subnets were periodically probed.
DOI: 10.23721/109/1519225
title: internet_outage_adaptive_a40e-20200401 (2020-04-01 to 2020-07-01)