cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t36zm368wc.1
title: Data for: Major/trace elements and Sr-Nd-Pb isotope systematic of lavas from Lakes Barombi Mbo and Barombi Koto in the Kumba graben, Cameroon Volcanic Line: Constraints on petrogenesis

description: This study presents major elements, trace elements and Sr–Nd–Pb isotope data for fifteen (15) representative volcanic rock samples from the surroundings of Lakes Barombi Mbo (n = 9) and Barombi Koto (n = 6), located in the Kumba graben along the Cameroon Volcanic Line (CVL). The samples are basalts and trachy-basalts with MgO ranging from 7–9 wt.%. The lavas from Barombi Mbo are slightly richer in TiO2 (mean 3.3 wt.%) and lower in CaO (mean 9.2 wt.%) relative to those from Barombi Koto (2.9 wt.% and 10.3 wt.%, respectively). Trace element characteristics of the lavas suggest an enrichment of the source by carbonatitic metasomatism and melting of a heterogeneous source at varying depth in the garnet-spinel transition zone. Model-calculated results for AFC using the equation of Depaolo (1981) suggest an insignificant role of the assimilation of a crustal component in during fractional crystallization. Modelling of the degree of partial melting suggest that the magmas were formed at varying depth (indicate the depths) and by 2% partial melting of a source containing less than 4% garnet. Samples from Lake Barombi Mbo formed at a higher degree of partial melting (2% to 0.5%) and at a shallower depth relative to those from Barombi Koto (mostly &lt;0.5%) and Mt. Cameroon. Interestingly, the relationship of Zr/Hf and 206Pb/204Pb suggests that the magma was affected by carbonatitic metasomatism whose effect decreased from Mt. Cameroon to Lake Barombi Mbo. Our results suggest that Lakes Barombi Mbo and Barombi Koto lavas are typical of lavas with HIMU-like signature and involved contributions from a dominantly sublithospheric mantle and minor contributions from the sub-continental lithospheric mantle. The isotopic composition falls within the range of FOZO, which is consistent with a dominantly SLM origin (e.g., 206Pb/204Pb &gt;19).
DOI: 10.5281/zenodo.3479755
title: An exploratory study (with and without time pressure) using mouse dynamics to detect faking-good behavior in the MMPI-2 and PPI-R validity scales

description: Please find here the dataset generated and analyzed during the study entitled "Can mouse dynamics detect faking-good behavior in personality questionnaires? An exploratory study (with and without time pressure) using the MMPI-2 and PPI-R validity scales". Moreover, here you can find the source code of the experiment to execute the task using MouseTracker software, the code of the statistical analysis and a file containing the instructions to replicate ML model results reported in the original paper.
DOI: 10.5281/zenodo.3479756
title: An exploratory study (with and without time pressure) using mouse dynamics to detect faking-good behavior in the MMPI-2 and PPI-R validity scales

description: Please find here the dataset generated and analyzed during the study entitled "Can mouse dynamics detect faking-good behavior in personality questionnaires? An exploratory study (with and without time pressure) using the MMPI-2 and PPI-R validity scales". Moreover, here you can find the source code of the experiment to execute the task using MouseTracker software, the code of the statistical analysis and a file containing the instructions to replicate ML model results reported in the original paper.
DOI: 10.7910/dvn/40lbzp/phdfb2
title: Settlem Patch.do

description: There were a few dyad-years in the originally published data for which the border settlement variable did not code. This do file corrects the data. Note that the corrections do not alter any of the published results.
DOI: 10.7910/dvn/40lbzp/qx1rhl
title: Owsiak - Signing Up for Peace - Onset - 09.2010.tab

description: Replication data for the MID Onset analysis.
DOI: 10.7910/dvn/40lbzp/sdw9az
title: Owsiak - Signing Up for Peace - Escalation - 09.2010_2.tab

description: Do file for all published results.
DOI: 10.7910/dvn/40lbzp/z2ahp8
title: Owsiak - Signing Up for Peace - Statistical Replication Command File 09.2010.do

description: Replication data for the MID Escalation analysis.
DOI: 10.5281/zenodo.3523352
title: Dataset for "Electrical and optical control of single spins integrated in scalable semiconductor devices"

description: Accompanying data for the main text and supplemental materials of <em>Electrical and optical control of single spins integrated in scalable semiconductor devices</em>
DOI: 10.5281/zenodo.3523353
title: Dataset for "Electrical and optical control of single spins integrated in scalable semiconductor devices"

description: Accompanying data for the main text and supplemental materials of <em>Electrical and optical control of single spins integrated in scalable semiconductor devices</em>
DOI: 10.15468/900qy2
title: Tryphactothripini of India (Thysanoptera, Thripidae, Panchaetothripinae), with identification keys and a new record of Opimothrips

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rachana, Remani R., Mound, Laurence A., Rayar, Shashikant G. (2019): Tryphactothripini of India (Thysanoptera, Thripidae, Panchaetothripinae), with identification keys and a new record of Opimothrips. ZooKeys 884: 43-52, DOI: http://dx.doi.org/10.3897/zookeys.884.39500, URL: http://dx.doi.org/10.3897/zookeys.884.39500
DOI: 10.21227/m8f5-a860
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the beta phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project's documentation part is finished.####current status###Tweets containing the term "iphone 11": 2 million-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "housefull 4": 0.346 million-plus##################A new database will be added here every week. Please bookmark this page for the updates.References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.3886/e107508
title: Japan and the Great Divergence

description: This is the replication file for "Japan and the Great Divergence, 730-1874". Despite being the first Asian economy to achieve modern economic growth, Japan has received relatively little attention in the Great Divergence debate. New estimates suggest that although the level of GDP per capita remained below the level of northwest Europe throughout the period 730-1874, Japan experienced positive trend growth before 1868, in contrast to the negative trend growth experienced in China and India, leading to a Little Divergence within Asia. However, growth in Japan remained slower than in northwest Europe so that Japan continued to fall behind until after the institutional reforms of the early Meiji period. The Great Divergence thus occurred as the most dynamic part of Asia fell behind the most dynamic part of Europe.
description: other~~
description: Population of Japan and BritainSmallest Geographic Unit: nation
DOI: 10.3886/e107508v1-19331
title: Japan and the Great Divergence

description: This is the replication file for "Japan and the Great Divergence, 730-1874". Despite being the first Asian economy to achieve modern economic growth, Japan has received relatively little attention in the Great Divergence debate. New estimates suggest that although the level of GDP per capita remained below the level of northwest Europe throughout the period 730-1874, Japan experienced positive trend growth before 1868, in contrast to the negative trend growth experienced in China and India, leading to a Little Divergence within Asia. However, growth in Japan remained slower than in northwest Europe so that Japan continued to fall behind until after the institutional reforms of the early Meiji period. The Great Divergence thus occurred as the most dynamic part of Asia fell behind the most dynamic part of Europe.
description: other~~
description: Population of Japan and BritainSmallest Geographic Unit: nation
DOI: 10.15468/1w5nw1
title: Dealing with a hairy beast-larval morphology and chaetotaxy of the Australian endemic diving beetle genus Spencerhydrus (Coleoptera, Dytiscidae, Cybistrini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Michat, Mariano C., Alarie, Yves, Watts, Chris H. S. (2019): Dealing with a hairy beast-larval morphology and chaetotaxy of the Australian endemic diving beetle genus Spencerhydrus (Coleoptera, Dytiscidae, Cybistrini). ZooKeys 884: 53-67, DOI: http://dx.doi.org/10.3897/zookeys.884.38391, URL: http://dx.doi.org/10.3897/zookeys.884.38391
DOI: 10.21227/sxjj-7q48
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the beta phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project's documentation part is finished.####current status###Tweets containing the term "iphone 11": 2 million-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "housefull 4": 0.346 million-plus##################A new database will be added here every week. Please bookmark this page for the updates.References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.3886/e107508v1-19333
title: Japan and the Great Divergence

description: This is the replication file for "Japan and the Great Divergence, 730-1874". Despite being the first Asian economy to achieve modern economic growth, Japan has received relatively little attention in the Great Divergence debate. New estimates suggest that although the level of GDP per capita remained below the level of northwest Europe throughout the period 730-1874, Japan experienced positive trend growth before 1868, in contrast to the negative trend growth experienced in China and India, leading to a Little Divergence within Asia. However, growth in Japan remained slower than in northwest Europe so that Japan continued to fall behind until after the institutional reforms of the early Meiji period. The Great Divergence thus occurred as the most dynamic part of Asia fell behind the most dynamic part of Europe.
description: other~~
description: Population of Japan and BritainSmallest Geographic Unit: nation
DOI: 10.21227/8ew0-ba29
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the beta phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project's documentation part is finished.####current status###Tweets containing the term "iphone 11": 2 million-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "housefull 4": 0.346 million-plus##################A new database will be added here every week. Please bookmark this page for the updates.References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.21227/m1vv-9688
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the beta phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project's documentation part is finished.####current status###Tweets containing the term "iphone 11": 2 million-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "housefull 4": 0.346 million-plus##################A new database will be added here every week. Please bookmark this page for the updates.References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.15468/ytia3e
title: Taxonomic review of the Themus (Telephorops) nepalensis species-group (Coleoptera, Cantharidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yang, Yuxia, Xi, Huacong, Yang, Xingke, Liu, Haoyu (2019): Taxonomic review of the Themus (Telephorops) nepalensis species-group (Coleoptera, Cantharidae). ZooKeys 884: 81-106, DOI: http://dx.doi.org/10.3897/zookeys.884.32550, URL: http://dx.doi.org/10.3897/zookeys.884.32550
DOI: 10.21227/4awe-j756
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the beta phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project's documentation part is finished.####current status###Tweets containing the term "iphone 11": 2 million-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "housefull 4": 0.346 million-plus##################A new database will be added here every week. Please bookmark this page for the updates.References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.15468/drjdy3
title: Ottelia fengshanensis, a new bisexual species of Ottelia (Hydrocharitaceae) from southwestern China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Li, Zhi-Zhong, Wu, Shuang, Zou, Chun-Yu, Liu, Yan, Hu, Guang-Wan, Lehtonen, Samuli, Wang, Qing-Feng, Chen, Jin-Ming (2019): Ottelia fengshanensis, a new bisexual species of Ottelia (Hydrocharitaceae) from southwestern China. PhytoKeys 135: 1-10, DOI: http://dx.doi.org/10.3897/phytokeys.135.38531, URL: http://dx.doi.org/10.3897/phytokeys.135.38531
DOI: 10.21227/fjrw-4508
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the beta phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project's documentation part is finished.####current status###Tweets containing the term "iphone 11": 2 million-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "housefull 4": 0.346 million-plus##################A new database will be added here every week. Please bookmark this page for the updates.References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.25919/5dba83b9c5bad
title: Parkes observations for project P1031 semester 2019OCTS_03

description: We propose to study the pulsar emission mechanism using novel statistical methods that enable us to study the dynamics of the radio pulsar signal on short time scales (e.g. quasi-periodic sub-pulse structure, transitions between orthogonally polarized modes of emission, nulling, etc.) without needing to detect individual pulses. This pilot study will pave the way for a large-scale survey of dynamic/transient emission properties over a broad range of the pulsar population.
DOI: 10.21227/p1ed-8d92
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the beta phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project's documentation part is finished.####current status###Tweets containing the term "iphone 11": 2 million-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "housefull 4": 0.346 million-plus##################A new database will be added here every week. Please bookmark this page for the updates.References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.7910/dvn/uuansp/pehrix
title: KAIJOR18002H.pdf

description: :unav
DOI: 10.25919/5dba851e541f6
title: Parkes observations for project P1021 semester 2019OCTS_03

description: We propose to conduct observations of PSR J1653-45, a 951-ms pulsar in a long, 1.5-yr orbit. Binary pulsars are valuable objects of scientific study, allowing for a wide range of applications, including tests of gravity, probes of the neutron star equation of state, and fossil records of stellar evolution. Long spin-period pulsars in binary systems are generally much rarer than faster-spinning `recycled’ pulsars, and represent an under-explored region of pulsar binary evolution. In addition to its long orbital period, PSR J1653-45 also experiences extended eclipses, lasting up to half of the orbital period and whose nature is not well understood. These eclipses have also prevented the determination of an orbital of phase-connected timing solution, both vital steps in allowing for the continued study of this system. We propose a targeted, high-cadence observing campaign designed to monitor this pulsar as it transition into its eclipsing state. The campaign has the twin goals of both monitoring how the eclipse affects the pulsar’s emission properties, thereby revealed more about the nature of the eclipses themselves, and of extracting as much information regarding the pulsar’s orbit during its least-explored regions, thereby constrained and hopefully solving the pulsar’s orbit and ideally leading to the development of a timing solution. In both instances, we hope to gain a greater understanding of this pulsar’s properties and how it fits into this under-explored class of unrecycled pulsar binaries.
DOI: 10.7910/dvn/2y6jmb/vtnt8f
title: KAIJOR18001H.pdf

description: :unav
DOI: 10.5281/zenodo.3523241
title: Pol III modeling data and scripts using the Integrative Modeling Platform

description: This repository contains the data obtained running the Integrative modeling platform with crosslinks and cryoem data, on the RNA Pol III system.
DOI: 10.5281/zenodo.3523343
title: Cardiac Troponin Complex XL

description: Raw data for Cardiac Troponin Complex Chemical XL-MS
DOI: 10.5281/zenodo.3523344
title: Cardiac Troponin Complex XL

description: Raw data for Cardiac Troponin Complex Chemical XL-MS
DOI: 10.7910/dvn/bj9ye2/f5sijk
title: KAIOJR18001U.pdf

description: :unav
DOI: 10.5281/zenodo.3523557
title: Expanded MPC Tracklet Dataset for Olin

description: Set of sample data files containing (i) detections, (ii) tracklets and (iii) object identifiers. Code for processing the data can be found in https://github.com/matthewjohnpayne/neo_ml Description of the data (both its creation and specification) can be found in https://github.com/matthewjohnpayne/neo_ml
DOI: 10.5281/zenodo.3523558
title: Expanded MPC Tracklet Dataset for Olin

description: Set of sample data files containing (i) detections, (ii) tracklets and (iii) object identifiers. Code for processing the data can be found in https://github.com/matthewjohnpayne/neo_ml Description of the data (both its creation and specification) can be found in https://github.com/matthewjohnpayne/neo_ml
DOI: 10.15468/8hpovy
title: Three new species and one subspecies of the Amynthas corticis - group from Guangxi Zhuang Autonomous Region, China (Oligochaeta, Megascolecidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Dong, Yan, Law, Michelle Man Suet, Jiang, Jibao B., Qiu, Jiangping P. (2019): Three new species and one subspecies of the Amynthas corticis - group from Guangxi Zhuang Autonomous Region, China (Oligochaeta, Megascolecidae). ZooKeys 884: 23-42, DOI: http://dx.doi.org/10.3897/zookeys.884.30988, URL: http://dx.doi.org/10.3897/zookeys.884.30988
DOI: 10.15468/an6eng
title: Revision of the New World genus Enderleiniella Becker, 1912 (Diptera, Chloropidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mlynarek, Julia J. (2019): Revision of the New World genus Enderleiniella Becker, 1912 (Diptera, Chloropidae). ZooKeys 884: 107-134, DOI: http://dx.doi.org/10.3897/zookeys.884.36154, URL: http://dx.doi.org/10.3897/zookeys.884.36154
DOI: 10.15468/wiaroq
title: Two new species of the genus Milnesium Doyere, 1840 (Tardigrada, Apochela, Milnesiidae) from Madagascar

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kaczmarek, Lukasz, Grobys, Daria, Kulpa, Adam, Bartylak, Tomasz, Kmita, Hanna, Kepel, Marta, Kepel, Andrzej, Roszkowska, Milena (2019): Two new species of the genus Milnesium Doyere, 1840 (Tardigrada, Apochela, Milnesiidae) from Madagascar. ZooKeys 884: 1-22, DOI: http://dx.doi.org/10.3897/zookeys.884.29469, URL: http://dx.doi.org/10.3897/zookeys.884.29469