cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5529673
title: Save Page Now (SPN) Activity

description: Experiments with WARC data from the Internet Archive's Save Page Now service.
DOI: 10.25919/q87e-2f02
title: Parkes observations for project PX500 semester 2021APRS_28

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.3886/e113426v1-97920
title: Replication data for: Can Alcohol Prohibition Reduce Violence against Women?

description: Violence against women is a critical problem across the world. In this paper, we exploit state and temporal variation in alcohol control in India to examine the impact of prohibition on alcohol consumption and violent crimes against women. We first use detailed household survey data to show that prohibition policies are associated with substantially lower rates of drinking among men and domestic violence. Next, we provide evidence that alcohol prohibition reduces aggregate violence against women in officially reported crime data. The results suggest that policies that restrict access to alcohol may help reduce gender violence.
DOI: 10.5517/ccdc.csd.cc22z4rz
title: CCDC 1935601: Experimental Crystal Structure Determination

description: Related Article: Qian WU|2019|CSD Communication|||
description: Related Article: Qian Wu, Junkai Liu, Youmei Li, Michelle M.S. Lee, Lianrui Hu, Ying Li, Panwang Zhou, Dong Wang, Ben Zhong Tang|2021|Matter|4|3286|doi:10.1016/j.matt.2021.08.002
DOI: 10.5281/zenodo.4900115
title: Post-translational insertion of boron in proteins to probe and modulate function

description: <strong>This dataset contains relevant raw data (NMR and mass spectrometry) used within this publication.</strong>
description: We acknowledge funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 721902 (T.A.M.) and Swiss National Science Foundation (P2BSP2_178609, P.G.I.) and BBSRC (BB/R000255/1, to D.F.H; BB/P026311/1, to V.G. and B.G.D.).
DOI: 10.5281/zenodo.4900114
title: Post-translational insertion of boron in proteins to probe and modulate function

description: <strong>This dataset contains relevant raw data (NMR and mass spectrometry) used within this publication.</strong>
description: We acknowledge funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 721902 (T.A.M.) and Swiss National Science Foundation (P2BSP2_178609, P.G.I.) and BBSRC (BB/R000255/1, to D.F.H; BB/P026311/1, to V.G. and B.G.D.).
DOI: 10.5281/zenodo.5546611
title: Extracted Ion Chromatograms for peaks detected by IDSL.IPA software

description: Extracted Ion Chromatograms (EICs) for each detected peak by IDSL.IPA were generated using a custom R-code for the file 003.mzml. The dataset also contain EICs for peaks that were detected by MzMINE, XCMS and MS-DIAL software.
DOI: 10.5281/zenodo.4708430
title: Extracted Ion Chromatograms for peaks detected by IDSL.IPA software

description: Extracted Ion Chromatograms (EICs) for each detected peak by IDSL.IPA were generated using a custom R-code for the file 003.mzml. The dataset also contain EICs for peaks that were detected by MzMINE, XCMS and MS-DIAL software.
DOI: 10.5281/zenodo.5546618
title: Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression.

description: This file contains vst-normalized gene expression data along with annotations which can be used to reproduce our findings.
DOI: 10.5281/zenodo.5546617
title: Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression.

description: This file contains vst-normalized gene expression data along with annotations which can be used to reproduce our findings.
DOI: 10.6084/m9.figshare.16727401
title: long-term astigmatism

description: Data set for "Long-term time course of changes in astigmatism after small incision cataract surgery with monofocal intraocular lenses"
DOI: 10.21227/pv6d-8c68
title: COVID-19 datasets of healthcare personel for infection risk estimation

description: N/A
DOI: 10.5281/zenodo.5532933
title: Parameter uncertainty quantification of wake models to analyze effects of wake superposition: data and code

description: Codebase for wake deficit, wake superposition, and wake-added turbulence modeling within Markov-chain Monte Carlo framework. Data for results and figures in associated paper is also included.
DOI: 10.5281/zenodo.5532932
title: Parameter uncertainty quantification of wake models to analyze effects of wake superposition: data and code

description: Codebase for wake deficit, wake superposition, and wake-added turbulence modeling within Markov-chain Monte Carlo framework. Data for results and figures in associated paper is also included.
DOI: 10.5281/zenodo.5546633
title: partial dataset for testing

description: partial dataset for testing
DOI: 10.17632/yh89www54k.1
title: 71 SE United States cities bird richness

description: Question: How do components of urban landscape composition and configuration affect urban bird richness and feeding guild diversity?

- species_counts_Americas.csv
Provides species abundance data for 71 cities in the southeastern U.S. Species records were downloaded from GBIF for class Aves and cropped to city boundaries delineated by the CDC's 500 Cities dataset. Records were cleaned by removing those within 1000m of a biodiversity institution ('CoordinateCleaner' R package (Zizka et al. 2019)) and those that do not inhabit North or South America. The first column labeled 'NA' indicates the number of records in each city that were not classified to the species level. See publication code_data prep.Rmd for production of this data.

- species_counts_Americas_diet
Provides the same information as species_counts_Americas, but includes information on feeding guild of each species, which we manually categorized based on information provided by the Cornell Lab of Ornithology and the Audubon guide of North American birds.

- citydata.csv
Provides data on landscape metrics, bird richness, and feeding guild diversity for 71 cities in the southeast United States. Landscape classification derived from NLCD 2016 land cover data. Landscape metrics calculated using the 'landscapemetrics' R package, and richness/diversity calculated using 'vegan' R package. Data used to model bird richness in 71 cities using different combinations of landscape metrics. (See modeling code in 'publication code_analysis.Rmd')
areamn40=mean forest patch area
areamn90=mean wetland patch area
pland20=% developed land cover
clumpy40=forest clumpiness
clumpy90=wetland clumpiness
edge40=forest edge density
edge90=wetland edge density
contag=contagion
sidi = simpson's diversity
n = # observations
S.rarefy = rarefied species richness
S.rarefy.se = rarefied species richness standard error
div.simpson = simpson's diversity index (for birds)
insectivores.rarefy = rarefied insectivore richness
granivores.rarefy = rarefied granivore richness
carnivore.rarefy = rarefied carnivore richness
omnivore.rarefy = rarefied omnivore richness
aquatic_invertebrates.rarefy = rarefied aquatic invertebrate feeders richness
shannon.functionalDiv = feeding guild diversity (Shannon's diversity index)
PC1 = PCA axis 1
PC2 = PCA axis 2
pland_40 = % forest area

Results: Landscape composition and configuration affect urban bird richness, but forest edge density is the only landscape metric that had a consistently significant negative effect on total rarefied richness, rarefied richness of individual feeding guilds, and feeding guild diversity.
DOI: 10.17632/8xsbf2r4py.1
title: Shovel Optimisation

description: 1.Data sets generated form the cox regression 
2. Input data for shovel maintenance schedule optimisation
3. Output data of shovel maintenance optimisation
DOI: 10.17632/md8s2mdhm8.1
title: Monomethyl branched-chain fatty acid mediates amino acid sensing by mTORC1. zhu et al.

description: This data pack is raw data of the  paper named "Monomethyl branched-chain fatty acid mediates amino acid sensing by mTORC1." The paper has been published on the Developmental Cell. All details of these data were explained in the article.
DOI: 10.6084/m9.figshare.16727440
title: Demographic and climate data for Pinus edulis demographic range modeling

description: This collection contains the subsets of FIA (https://apps.fs.usda.gov/fia/datamart/datamart.html) and PRISM (http://prism.oregonstate.edu/) data used in "Climate-driven, but dynamic and complex? A reconciliation of competing hypotheses for species' distributions".<br>The two datasets contain demographic data (survival and growth in SurvivalData.csv and recruitment in RecruitData.csv) and climate data used to fit vital rate models estimating the effects of climate and competition on Pinus edulis in the southwestern US.
DOI: 10.5517/ccdc.csd.cc286wky
title: CCDC 2091990: Experimental Crystal Structure Determination

description: Related Article: Chen Cao, Shu-Jin Bao, Xiao-Yan Tang, Ze-Ming Xu, Chun-Yan Ni, Jian-Ping Lang|2021|Chem.Asian J.|16|2674|doi:10.1002/asia.202100698
DOI: 10.5517/ccdc.csd.cc286wlz
title: CCDC 2091991: Experimental Crystal Structure Determination

description: Related Article: Chen Cao, Shu-Jin Bao, Xiao-Yan Tang, Ze-Ming Xu, Chun-Yan Ni, Jian-Ping Lang|2021|Chem.Asian J.|16|2674|doi:10.1002/asia.202100698
DOI: 10.5517/ccdc.csd.cc286wm0
title: CCDC 2091992: Experimental Crystal Structure Determination

description: Related Article: Chen Cao, Shu-Jin Bao, Xiao-Yan Tang, Ze-Ming Xu, Chun-Yan Ni, Jian-Ping Lang|2021|Chem.Asian J.|16|2674|doi:10.1002/asia.202100698
DOI: 10.5517/ccdc.csd.cc28cpw7
title: CCDC 2096619: Experimental Crystal Structure Determination

description: Related Article: Hui Shen, Zhen Xu, Lingzheng Wang, Ying-Zi Han, Xianhu Liu, Sami Malola, Boon K. Teo, Hannu Häkkinen, Nanfeng Zheng|2021|Angew.Chem.,Int.Ed.|60|22411|doi:10.1002/anie.202108141
DOI: 10.5517/ccdc.csd.cc28cpy9
title: CCDC 2096621: Experimental Crystal Structure Determination

description: Related Article: Hui Shen, Zhen Xu, Lingzheng Wang, Ying-Zi Han, Xianhu Liu, Sami Malola, Boon K. Teo, Hannu Häkkinen, Nanfeng Zheng|2021|Angew.Chem.,Int.Ed.|60|22411|doi:10.1002/anie.202108141
DOI: 10.25505/fiz.icsd.cc28f1xp
title: CSD 2097922: Experimental Crystal Structure Determination

description: Related Article: Yuangang Xu, Lujia Ding, Feng Yang, Dongxue Li, Pengcheng Wang, Qiuhan Lin, Ming Lu|2022|Chem.Eng.Journal|429|132399|doi:10.1016/j.cej.2021.132399
DOI: 10.5517/ccdc.csd.cc265y5j
title: CCDC 2031497: Experimental Crystal Structure Determination

description: Related Article: Kirandeep, Ajay Kumar, Aashima Sharma, Subash Chandra Sahoo, Ennio Zangrando, Vikram Saini, Ramesh Kataria, Surinder Kumar Mehta|2021|Microchemical Journal|171|106824|doi:10.1016/j.microc.2021.106824
DOI: 10.6084/m9.figshare.12782543
title: Metagenome Assembled Genomes

description: Metagenome Assembled Genomes (MAGs) from 16 Australian and 24 Global soils. For sample metadata see Supplementary Table 2 and for MAG metadata and taxonomic affiliation see Supplementary Table 3.
DOI: 10.6084/m9.figshare.12782543.v1
title: Metagenome Assembled Genomes

description: Metagenome Assembled Genomes (MAGs) from 16 Australian and 24 Global soils. For sample metadata see Supplementary Table 2 and for MAG metadata and taxonomic affiliation see Supplementary Table 3.
DOI: 10.5281/zenodo.5546148
title: Example of formatted files for a SynNet pipeline

description: This is a collection of formatted .fasta (proteins) and .bed (gff) files for a SynNet pipeline.
DOI: 10.5281/zenodo.5546147
title: Example of formatted files for a SynNet pipeline

description: This is a collection of formatted .fasta (proteins) and .bed (gff) files for a SynNet pipeline.
DOI: 10.6084/m9.figshare.14825682
title: Using Heartfulness Meditation and Brain Entrainment to Improve Teenage Mental Wellbeing

description: Teenagers are highly susceptible to mental health issues and this problem has been exacerbated by the quarantine restrictions of COVID-19. This study evaluated the use of Heartfulness Meditation and Audio Brainwave Entrainment to help teenagers cope with mental health issues. It used 30-minute Heartfulness meditation and 15-minute brainwave entrainment sessions with binaural beats and isochronic tones 3 times a week for 4 weeks. Using a pretest-posttest methodology, participants were asked to complete a survey battery including the Pittsburgh Quality of Sleep Index, Perceived Stress Scale, Patient Health Question-9, Profile of Mood States, and Cambridge Brain Health assessment. Participants (n=40) were divided into 4 experimental groups: the control group (n=9), Audio Brainwave Entrainment group (n=9), Heartfulness Meditation group (n=10), and a combined group (n=12), for a 4-week intervention. Data were analyzed with paired t-tests. The singular Audio Brainwave Entrainment group did not see statistically significant improvements, nor did any of the intervention groups for brain health (p&gt;0.05). This study, however, proved the efficacy of a 4-week Heartfulness Meditation program to regulate overall mood (p=.00132), stress levels (p=.0089), state depression (POMS; p=.0037), and anger (p=.002). Results also suggest adding Audio Brainwave Entrainment to Heartfulness Meditation may improve sleep quality (p=.0377) and stress levels (p=.00016).
DOI: 10.6084/m9.figshare.14825682.v1
title: Using Heartfulness Meditation and Brain Entrainment to Improve Teenage Mental Wellbeing

description: Teenagers are highly susceptible to mental health issues and this problem has been exacerbated by the quarantine restrictions of COVID-19. This study evaluated the use of Heartfulness Meditation and Audio Brainwave Entrainment to help teenagers cope with mental health issues. It used 30-minute Heartfulness meditation and 15-minute brainwave entrainment sessions with binaural beats and isochronic tones 3 times a week for 4 weeks. Using a pretest-posttest methodology, participants were asked to complete a survey battery including the Pittsburgh Quality of Sleep Index, Perceived Stress Scale, Patient Health Question-9, Profile of Mood States, and Cambridge Brain Health assessment. Participants (n=40) were divided into 4 experimental groups: the control group (n=9), Audio Brainwave Entrainment group (n=9), Heartfulness Meditation group (n=10), and a combined group (n=12), for a 4-week intervention. Data were analyzed with paired t-tests. The singular Audio Brainwave Entrainment group did not see statistically significant improvements, nor did any of the intervention groups for brain health (p&gt;0.05). This study, however, proved the efficacy of a 4-week Heartfulness Meditation program to regulate overall mood (p=.00132), stress levels (p=.0089), state depression (POMS; p=.0037), and anger (p=.002). Results also suggest adding Audio Brainwave Entrainment to Heartfulness Meditation may improve sleep quality (p=.0377) and stress levels (p=.00016).
DOI: 10.5281/zenodo.5546616
title: TheyBuyForYou Knowledge Graph data dump

description: Data dump of the Knowledge Graph (KG) for the TheyBuyForYou project in RDF format containing procurement data and company data (for reconciled suppliers) for the period January 2019 to September 2021. In addition to the KG data dump in RDF, we have also made available the source data input for the KG, i.e., procurement data from OpenOpps and company data (for reconciled suppliers) from OpenCorporates in JSON format.
DOI: 10.25919/ezj8-j482
title: Genomic Information Desulfuromonas sp. 'CSMB_57'

description: Supplementary genomic data
DOI: 10.5281/zenodo.4449691
title: Data for the article "Direct imaging of current-induced antiferromagnetic switching revealing a pure thermomagnetoelastic switching mechanism"

description: Data for the article "Direct imaging of current-induced antiferromagnetic switching revealing a pure thermomagnetoelastic switching mechanism" (Direct Imaging of Current-Induced Antiferromagnetic Switching Revealing a Pure Thermomagnetoelastic Switching Mechanism in NiO | Nano Letters (acs.org) and [2008.05219] Direct imaging of current-induced antiferromagnetic switching revealing a pure thermomagnetoelastic switching mechanism (arxiv.org))
description: The authors thank T. Reimer for skillful technical assistance. L.B acknowledges the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreements ARTES number 793159. L.B. and M.K. acknowledge support from the Graduate School of Excellence Materials Science in Mainz (MAINZ) DFG 266, the DAAD (Spintronics network, Project No. 57334897) and all groups from Mainz acknowledge that this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - TRR 173 – 268565370 (projects A01, A03, A11, B02, and B12). M.K. acknowledge financial support from the Horizon 2020 Framework Programme of the European Commission under FET-Open grant agreement no. 863155 (s- Nebula). This work was also supported by ERATO "Spin Quantum Rectification Project" (Grant No. JPMJER1402) and the Grant-in-Aid for Scientific Research on Innovative Area, "Nano Spin Conversion Science" (Grant No. JP26103005), Grant-in-Aid for Scientific Research (C) (Grant No. JP20K05297) from JSPS KAKENHI, Japan. COMSOL and COMSOL Multiphysics are registered trademarks of COMSOL AB
DOI: 10.5281/zenodo.4449690
title: Data for the article "Direct imaging of current-induced antiferromagnetic switching revealing a pure thermomagnetoelastic switching mechanism"

description: Data for the article "Direct imaging of current-induced antiferromagnetic switching revealing a pure thermomagnetoelastic switching mechanism" (Direct Imaging of Current-Induced Antiferromagnetic Switching Revealing a Pure Thermomagnetoelastic Switching Mechanism in NiO | Nano Letters (acs.org) and [2008.05219] Direct imaging of current-induced antiferromagnetic switching revealing a pure thermomagnetoelastic switching mechanism (arxiv.org))
description: The authors thank T. Reimer for skillful technical assistance. L.B acknowledges the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreements ARTES number 793159. L.B. and M.K. acknowledge support from the Graduate School of Excellence Materials Science in Mainz (MAINZ) DFG 266, the DAAD (Spintronics network, Project No. 57334897) and all groups from Mainz acknowledge that this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - TRR 173 – 268565370 (projects A01, A03, A11, B02, and B12). M.K. acknowledge financial support from the Horizon 2020 Framework Programme of the European Commission under FET-Open grant agreement no. 863155 (s- Nebula). This work was also supported by ERATO "Spin Quantum Rectification Project" (Grant No. JPMJER1402) and the Grant-in-Aid for Scientific Research on Innovative Area, "Nano Spin Conversion Science" (Grant No. JP26103005), Grant-in-Aid for Scientific Research (C) (Grant No. JP20K05297) from JSPS KAKENHI, Japan. COMSOL and COMSOL Multiphysics are registered trademarks of COMSOL AB
DOI: 10.5281/zenodo.5546649
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.5281/zenodo.5546312
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.5546311
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.6084/m9.figshare.15242607
title: Supplementary Data 1

description: Excel spreadsheet containing the list of all Quasi-Love (QL) wave scatterers and their associated parameters detected by this study. Columns from left to right: Station latitude (°), Station Longitude (°), Event latitude (°), Event Longitude (°), Event Depth (km), Event Magnitude (Mw), Back-azimuth (°), Epicentral Distance (°), QL scatterer latitude (°), QL scatterer longitude (°), Time-lag of QL cross-correlation with the fundamental Love wave arrival G1, i.e. dt (s), Distance to scatterer from station, i.e. dx (°), Amplitude and polarity of QL cross-correlation with G1 (+/-), Signal-to-Noise ratio of G1, Love Wave Polarisation Angle (°)
DOI: 10.6084/m9.figshare.15240240
title: GeologicalProvinces_CDF

description: Cumulative Distribution Function (CDF) of the distance of Quasi-Love wave scatterers from the major geological provinces of Australia, as plotted in Figure 4b. First column: Distance from feature (km), Second column: Fraction of scatterers.
DOI: 10.6084/m9.figshare.15240240.v1
title: GeologicalProvinces_CDF

description: Cumulative Distribution Function (CDF) of the distance of Quasi-Love wave scatterers from the major geological provinces of Australia, as plotted in Figure 4b. First column: Distance from feature (km), Second column: Fraction of scatterers.
DOI: 10.6084/m9.figshare.15240753
title: OceanContinentBoundary_CDF

description: Cumulative Distribution Function (CDF) of the distance of Quasi-Love wave scatterers from the ocean-continent boundary (i.e. continental margins), as plotted in Figure 4a. First column: Distance from feature (km), Second column: Fraction of scatterers.
DOI: 10.6084/m9.figshare.15240909
title: OceanContinentBoundary_Cont_CDF

description: Cumulative Distribution Function (CDF) of the distance of Quasi-Love wave scatterers from the ocean-continent boundary (i.e. continental margins), for scatterers located on continental crust, as plotted in Figure S10b. First column: Distance from feature (km), Second column: Fraction of scatterers.
DOI: 10.6084/m9.figshare.15241194.v1
title: OceanContinentBoundary_Ocean_CDF

description: Cumulative Distribution Function (CDF) of the distance of Quasi-Love wave scatterers from the ocean-continent boundary (i.e. continental margins), for scatterers located on oceanic crust, as plotted in Figure S10a. First column: Distance from feature (km), Second column: Fraction of scatterers.
DOI: 10.6084/m9.figshare.15241194
title: OceanContinentBoundary_Ocean_CDF

description: Cumulative Distribution Function (CDF) of the distance of Quasi-Love wave scatterers from the ocean-continent boundary (i.e. continental margins), for scatterers located on oceanic crust, as plotted in Figure S10a. First column: Distance from feature (km), Second column: Fraction of scatterers.
DOI: 10.6084/m9.figshare.15241311
title: GeologicalProvinces_Random_CDFs

description: Cumulative Distribution Functions (CDF) of the distance from the geological provinces of Australia, for 100 sets of randomly located points, as plotted in Figure 4b. Column 1: Fraction of scatterers. Columns 2-101: Distance from feature for each random distribution (km)
DOI: 10.6084/m9.figshare.15241311.v1
title: GeologicalProvinces_Random_CDFs

description: Cumulative Distribution Functions (CDF) of the distance from the geological provinces of Australia, for 100 sets of randomly located points, as plotted in Figure 4b. Column 1: Fraction of scatterers. Columns 2-101: Distance from feature for each random distribution (km)