cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6565236
title: Data for "Functional Dynamics of Substrate Recognition in TEM Beta-Lactamase"

description: Molecular dynamics data associated with the publication: "Functional Dynamics of Substrate Recognition in TEM Beta-Lactamase" Trajectores were generated in GROMACS, and the carbon alpha coordinates were extracted and aligned with the JEDi analysis software. Details of the simulations and analysis are given in the publication. Data in apo.zip contains trajectories for 32 total trajectories of TEM-1, TEM-2, TEM-10, and TEM-52 beta-lactamase, each starting form different 8 crystal structures Data in holo.zip contains 16 trajectories of TEM-1, TEM-2, TEM-10, and TEM-52 beta-lactamase in complex with ampicillin, amoxicillin, cefotaxime, and ceftazidime each. Trajectories files are in comma delimited format, with rows representing degrees for freedom (789 total), and columns representing samples (10000 per trajectory file). Supervised Projective Learning for Orthogonal Completeness (SPLOC) software for analysis as performed in the publication can be found at: https://github.com/BioMolecularPhysicsGroup-UNCC/MachineLearning/tree/master/SPLOC
DOI: 10.6084/m9.figshare.19769560
title: SA3 area population projections by age & sex

description: This dataset contains population projections by sex and age group for SA3 areas of Australia (excluding a few areas with very small populations) for a 15 year projection horizon. The data are presented in both Excel and csv formats. <br>
DOI: 10.34740/kaggle/dsv/3665942
title: BBC News
DOI: 10.6084/m9.figshare.19799857
title: Additional file 2 of Psychiatric manifestations of rare variation in medically actionable genes: a PheWAS approach

description: Additional file 2: Table S1. A list of 56 genes and the associated medical conditions recommended by ACMG for return of results. Table S2. The full list of the extracted PheCodes and the corresponding prevalences among the 15,181 individuals analyzed in the study. Table S3. The 37 PheCodes of psychiatric disorders with at least 75 cases selected for burden analysis. Table S4. Pairwise phenotypic correlations between the 37 psychiatric phenotypes. Table S5. Pairwise phenotypic correlations between the 37 psychiatric phenotypes and all 966 phenotypes with at least 75 cases. Table S6. PheWAS results of rare variation and psychiatric disorders: ACMG-56 genes. Table S7. PheWAS results of rare variation and psychiatric disorders: CACNA1C. Table S8. PheWAS results of rare variation and psychiatric disorders: TCF4. Table S9. PheWAS of rare variation and psychiatric disorders: interaction with age. Table S10. PheWAS of rare variation and psychiatric disorders: interaction with sex. Table S11. PheWAS of rare variation and psychiatric disorders: combining variation across 58 genes by functional annotation. Table S12. Gene Ontology analysis of the 58 genes: biological process. Table S13. Gene Ontology analysis of the 58 genes: cellular component. Table S14. Gene Ontology analysis of the 58 genes: molecular function. Table S15. PheWAS of rare variation and psychiatric disorders: 34 genes from the top GO term of biological process. Table S16. PheWAS of rare variation and psychiatric disorders: 16 genes from the top GO term of cellular component. Table S17. PheWAS of rare variation and psychiatric disorders: 25 genes from the top GO term of molecular function. Table S18. Phenotypic comparison between eMERGE and UKB-GeneBass. Table S19. PheWAS results of rare variation and psychiatric disorders in UKB-GeneBass. Table S20. Suggested gene associations in eMERGE (Table 1) vs. in UKB-GeneBass
DOI: 10.6084/m9.figshare.19799857.v1
title: Additional file 2 of Psychiatric manifestations of rare variation in medically actionable genes: a PheWAS approach

description: Additional file 2: Table S1. A list of 56 genes and the associated medical conditions recommended by ACMG for return of results. Table S2. The full list of the extracted PheCodes and the corresponding prevalences among the 15,181 individuals analyzed in the study. Table S3. The 37 PheCodes of psychiatric disorders with at least 75 cases selected for burden analysis. Table S4. Pairwise phenotypic correlations between the 37 psychiatric phenotypes. Table S5. Pairwise phenotypic correlations between the 37 psychiatric phenotypes and all 966 phenotypes with at least 75 cases. Table S6. PheWAS results of rare variation and psychiatric disorders: ACMG-56 genes. Table S7. PheWAS results of rare variation and psychiatric disorders: CACNA1C. Table S8. PheWAS results of rare variation and psychiatric disorders: TCF4. Table S9. PheWAS of rare variation and psychiatric disorders: interaction with age. Table S10. PheWAS of rare variation and psychiatric disorders: interaction with sex. Table S11. PheWAS of rare variation and psychiatric disorders: combining variation across 58 genes by functional annotation. Table S12. Gene Ontology analysis of the 58 genes: biological process. Table S13. Gene Ontology analysis of the 58 genes: cellular component. Table S14. Gene Ontology analysis of the 58 genes: molecular function. Table S15. PheWAS of rare variation and psychiatric disorders: 34 genes from the top GO term of biological process. Table S16. PheWAS of rare variation and psychiatric disorders: 16 genes from the top GO term of cellular component. Table S17. PheWAS of rare variation and psychiatric disorders: 25 genes from the top GO term of molecular function. Table S18. Phenotypic comparison between eMERGE and UKB-GeneBass. Table S19. PheWAS results of rare variation and psychiatric disorders in UKB-GeneBass. Table S20. Suggested gene associations in eMERGE (Table 1) vs. in UKB-GeneBass
DOI: 10.6084/m9.figshare.19799914.v1
title: Additional file 2 of The DNA/RNA helicase DHX9 contributes to the transcriptional program of the androgen receptor in prostate cancer

description: Additional file 2.
DOI: 10.6084/m9.figshare.19799899.v1
title: Additional file 1 of Antibacterial effect of an herbal toothpaste containing Bamboo salt: a randomized double-blinded controlled clinical trial

description: Additional file 1. Raw data: generated and analysed during the study.
DOI: 10.6084/m9.figshare.19799914
title: Additional file 2 of The DNA/RNA helicase DHX9 contributes to the transcriptional program of the androgen receptor in prostate cancer

description: Additional file 2.
DOI: 10.6084/m9.figshare.19799899
title: Additional file 1 of Antibacterial effect of an herbal toothpaste containing Bamboo salt: a randomized double-blinded controlled clinical trial

description: Additional file 1. Raw data: generated and analysed during the study.
DOI: 10.5281/zenodo.6565224
title: Data from: Comparing the importance of farming resource endowments and agricultural livelihood diversification for agricultural sustainability from the perspective of the food–energy–water nexus

description: Household Survey Data for journal article 'Comparing the importance of farming resource endowments and agricultural livelihood diversification for agricultural sustainability from the perspective of the food–energy–water nexus', without protected data.
DOI: 10.5281/zenodo.6565223
title: Data from: Comparing the importance of farming resource endowments and agricultural livelihood diversification for agricultural sustainability from the perspective of the food–energy–water nexus

description: Household Survey Data for journal article 'Comparing the importance of farming resource endowments and agricultural livelihood diversification for agricultural sustainability from the perspective of the food–energy–water nexus', without protected data.
DOI: 10.5519/qd.socfeze3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/4wb3-a027
title: Lake Depth

description: None
DOI: 10.5281/zenodo.6565204
title: Reef fishes can recognize bleached habitat during settlement: sea anemone bleaching alters anemonefish host selection

description: Dataset accompanies: Scott A, Dixson DL (2016) Reef fishes can recognise degraded habitat during settlement: sea anemone bleaching alters anemonefish host selection. Proceedings the Royal Society B 283: 20152694, http://dx.doi.org/10.1098/rspb.2015.2694
DOI: 10.5281/zenodo.6565203
title: Reef fishes can recognize bleached habitat during settlement: sea anemone bleaching alters anemonefish host selection

description: Dataset accompanies: Scott A, Dixson DL (2016) Reef fishes can recognise degraded habitat during settlement: sea anemone bleaching alters anemonefish host selection. Proceedings the Royal Society B 283: 20152694, http://dx.doi.org/10.1098/rspb.2015.2694
DOI: 10.5281/zenodo.5936097
title: Constructing a histocytometry pipeline suitable for high dimensional reduction analysis of using graphical user interface software

description: Image, worksheet and reference files for a Current Protocols journal article
DOI: 10.5281/zenodo.5935180
title: Constructing a histocytometry pipeline suitable for high dimensional reduction analysis of using graphical user interface software

description: Image, worksheet and reference files for a Current Protocols journal article
DOI: 10.6084/m9.figshare.19682379.v1
title: Nitrogen input enhances microbial carbon use efficiency by altering plant-microbe-mineral interactions

description: Plant, geochemical and microbial properties in a multi-level field N addition experiment on the Tibetan Plateau.
DOI: 10.34740/kaggle/dsv/3666206
title: ECUADOR - CO2VSPIB PERCAPITA (HISTORICO Y CUSUM)
DOI: 10.26186/146479
title: Exploring for the Future – Interpreted horizons of the Barkly Seismic Survey.

description: The first phase of the Australian Government's Exploring for the Future (EFTF) was a multi-year (2016-2020) $100.5 million initiative to increase northern Australia's desirability as a destination for industry investment to stimulate ‘greenfield’ resource exploration. In order to support this fundamental objective of the EFTF program, Geoscience Australia conducted acquisition of a diverse range of new precompetitive datasets across northern Australia, focussing on regions of unrecognised mineral, energy and groundwater resource potential. The Barkly 2D Deep Crustal Reflection Seismic Survey (L212) was acquired in 2019 as a major objective of the EFTF program in partnership with, and co-funded by, the NT Government under the Resourcing the Territory initiative. The Barkly Seismic Survey extends from the newly discovered Carrara Sub-basin in the South Nicholson Basin region to the south-eastern margins of the Beetaloo Sub-basin (Fomin, T., et al. 2019). The Barkly Seismic Survey images interpreted Paleoproterozoic to Mesoproterozoic successions extending from the Carrara Sub-basin to the highly prospective Beetaloo Sub-basin of the McArthur Basin. These successions are concealed by a persistent cover of up to 600 m of Paleozoic Georgina Basin sediments. Interpretation of the Barkly Seismic Survey established three informal geological domains, each defined by structural elements and/or basin characteristics (Southby et al, 2021). This data set contains an exported set of XYZ points from interpreted horizons (Southby et al 2022,) on the Barkly Seismic Survey (L212) in both two way time (TWT ms on PreSTM_19ga lines) and depth (m) re-interpreted on depth indexed PreSDM_19GA lines. The coordinate reference system for this dataset is WGS 1984 Australian Centre for Remote Sensing Lambert. Seismic reference datum is 350 m. The seismic reference datum are described in the EBCDIC headers of the SEGY files for each of the survey lines. Fomin, T., Costelloe, R.D., Holzschuh, J. 2019. L212 Barkly 2D Seismic Survey. Geoscience Australia, Canberra. http://pid.geoscience.gov.au/dataset/ga/132890 Southby, C., Rollet, N., Carson, C., Carr, L., Henson, P., Fomin, T., Costelloe, R., Doublier, M., Close, D. 2021. The Exploring for the Future 2019 Barkly Reflection Seismic Survey: Key discoveries and implication for resources. Geoscience Australia, Canberra. http://pid.geoscience.gov.au/dataset/ga/145107 Southby, C., Carson, C.J., Fomin, T., Rollet, N., Henson, P.A., Carr, L.K., Doublier, M.P., Close, D. 2022. Exploring for the Future - The 2019 Barkly Reflection Seismic Survey (L212). RECORD: 2022/009. Geoscience Australia, Canberra. http://dx.doi.org/10.11636/Record.2022.009
DOI: 10.26186/146456
title: Exploring for the Future – Interpreted Horizons of the South Nicholson Seismic Survey.

description: Exploring for the Future (EFTF) is an Australian Government program led by Geoscience Australia, in partnership with state and Northern Territory governments. The first phase of the EFTF program (2016-2020) aimed to drive industry investment in resource exploration in frontier regions of northern Australia by providing new precompetitive data and information about their energy, mineral and groundwater resource potential (Carr et al 2018). The South Nicholson Basin and immediate surrounding region is situated between Paleo-Mesoproterozoic Mount Isa Province and McArthur Basin. Both the Mount Isa Province and McArthur Basin are well studied. By contrast, the adjacent South Nicholson region is less studied, and contains rocks that are mostly undercover, for which the basin evolution and resource potential is not well understood. To address this gap, the L210 South Nicholson Deep Crustal Seismic Survey was collected in 2017 in the region between the southern McArthur Basin to the Mount Isa western succession, crossing the South Nicholson Basin and Murphy Province, providing a fundamental data link across these regions (L210 South Nicholson Deep Crustal Seismic Reflection Survey). The primary aim of the survey was to investigate areas with a low measured gravity response in the region to determine whether they represent thick basin sequences, as is the case for the nearby prospective Beetaloo Sub-basin. The interpretation of this survey led to the discovery of a new basin, the Carrara Sub-basin, coinciding with a gravity low in the south-eastern South Nicholson Basin Region. This data set contains an exported set of XYZ points from interpreted horizons (Carr et al 2019) on the South Nicholson Seismic Survey (L210) in both two way time (TWT ms on PreSTM_17ga lines) and depth (m) re-interpreted on depth indexed PreSDM_17GA lines. The coordinate reference system for this dataset is WGS 1984 Australian Centre for Remote Sensing Lambert. Seismic reference datum is 350 m. The seismic reference datum are described in the EBCDIC headers of the SEGY files for each of the survey lines. Carr, L.K., Southby, C., Henson, P., Costello, R., Anderson, J.R., Jarrett, A.J M., Carson, C.J., Gorton, J., Hutton, L.J., Troup, A., Williams, B., Khider, K., Bailey, A. & Fomin, T. 2019. Exploring for the Future: South Nicholson Basin geological summary and seismic interpretation. Record 2019/21, Geoscience Australia, Canberra. http://dx.doi.org/10.11636/Record.2019.021 Carr, L.K., Southby, C., Henson, P., Anderson, J.R., Costelloe, R., Jarrett, A.J.M., Carson, C.J., MacFarlane, S.K., Gorton, J., Hutton, L., Troup, A, Williams, B., Khider, K., Bailey, A.H.E., Fomin, T. 2020. South Nicholson Basin seismic interpretation. Geoscience Australia, Canberra. http://dx.doi.org/10.11636/132029 L210 South Nicholson Deep Crustal Seismic Reflection Survey, NT and QLD, 2017. Geoscience Australia, Canberra. http://pid.geoscience.gov.au/dataset/ga/116881.
DOI: 10.6084/m9.figshare.19800526.v1
title: Effect of HER2 on MBC

description: Background: The role of human epidermal growth factor receptor 2 (HER2) in metaplastic breast cancer (MBC) patients remains unclear. The present study aimed to evaluate the effect of HER2 status on MBC patients by propensity-score matching (PSM). Methods: The SEER data from 2010 to 2016 were extracted. The breast cancer-specific survival (BCSS) of MBC patients, diagnosed from 2001 to 2016, was compared using Kaplan–Meier analysis. The multivariate Cox proportional model between groups was performed. PSM was used to make 1:1 case-control matching. Q7 Results: We included 1887 patients with a median follow-up time of 28 months (range 1- 83 months). 1749 (92.7%) and 138 (7.3%) patients presented in the HER2-negative group and HER2-positive group. 833 (44.1%) patients received post-mastectomy radiotherapy (PMRT). The HER2-positive group had younger patients, lower tumor grades, and more advanced tumor stages. The prognoses were related to age of diagnosis, race/ethnicity, TNM stage, and PMRT in multivariate Cox analysis. ER status and HER2 status had no impact on BCSS. In the Kaplan-Meier analysis, PMRT was associated with a better prognosis. Importantly, patients with HER2-negative status can benefit from PMRT, but not those with HER2-positive status. After PSM, on multivariate Cox analysis, the prognosis was related to HER2 status and PMRT. In the Kaplan-Meier analysis, PMRT was related to a better prognosis for HER2-negative patients. Conclusions: Our findings supported that PMRT and HER2-positive status were associated with a better prognosis after PSM. However, HER2-negative, but not HER2-positive patients could benefit from PMRT.
DOI: 10.6084/m9.figshare.19800526
title: Effect of HER2 on MBC

description: Background: The role of human epidermal growth factor receptor 2 (HER2) in metaplastic breast cancer (MBC) patients remains unclear. The present study aimed to evaluate the effect of HER2 status on MBC patients by propensity-score matching (PSM). Methods: The SEER data from 2010 to 2016 were extracted. The breast cancer-specific survival (BCSS) of MBC patients, diagnosed from 2001 to 2016, was compared using Kaplan–Meier analysis. The multivariate Cox proportional model between groups was performed. PSM was used to make 1:1 case-control matching. Q7 Results: We included 1887 patients with a median follow-up time of 28 months (range 1- 83 months). 1749 (92.7%) and 138 (7.3%) patients presented in the HER2-negative group and HER2-positive group. 833 (44.1%) patients received post-mastectomy radiotherapy (PMRT). The HER2-positive group had younger patients, lower tumor grades, and more advanced tumor stages. The prognoses were related to age of diagnosis, race/ethnicity, TNM stage, and PMRT in multivariate Cox analysis. ER status and HER2 status had no impact on BCSS. In the Kaplan-Meier analysis, PMRT was associated with a better prognosis. Importantly, patients with HER2-negative status can benefit from PMRT, but not those with HER2-positive status. After PSM, on multivariate Cox analysis, the prognosis was related to HER2 status and PMRT. In the Kaplan-Meier analysis, PMRT was related to a better prognosis for HER2-negative patients. Conclusions: Our findings supported that PMRT and HER2-positive status were associated with a better prognosis after PSM. However, HER2-negative, but not HER2-positive patients could benefit from PMRT.
DOI: 10.6084/m9.figshare.19799947
title: Relevance of COVID-19 vaccine on the tourism industry: Evidence from China

description: Vaccination is indeed one of the interventional strategies available to combat coronavirus disease (COVID-19). This study emphasizes the relevance of citizens' acceptance of the COVID-19 vaccine in assisting global recovery from the pandemic and aiding the tourism industries to return to normalcy. This study further presented the impact of COVID-19 on the tourism industry in China. Also, the study confirmed the past performance of tourism in China to the current tourism-related COVID-19 effects from a global perspective by employing Australia's outbound tourism data from 2008 to 2020 on top 6 destinations, including China, Indonesia, New Zealand, Thailand, the United Kingdom, and the United States.
DOI: 10.6084/m9.figshare.19763011
title: hsa_sperm_ATAC_nfcore

description: aaaaa
DOI: 10.6084/m9.figshare.19763011.v1
title: hsa_sperm_ATAC_nfcore

description: aaaaa
DOI: 10.34740/kaggle/dsv/3666497
title: Russian Invasion of Ukraine
DOI: 10.25345/c5f766b5m
title: MassIVE MSV000089499 - Chitin degradation by Vibrio sp 1A01
title: Proteomes of Vibrio sp. 1A01 exponentially growing on various carbon sources as well as on chitin. Chitin samples contain planktonic cells, particle-associated proteins and excreted proteins.
DOI: 10.5281/zenodo.6564426
title: Data for: Wind-induced hypolimnetic upwelling between the multi-depth basins of Lake Geneva during winter: An overlooked deepwater renewal mechanism?

description: Combining field observations, 3D hydrodynamic modeling and particle tracking, we investigated wind-driven interbasin exchange, and in particular hypolimnetic upwelling, between the deep <em>Grand Lac</em> (max. depth 309 m) and shallow <em>Petit Lac</em> (max. depth 75 m) basins of Lake Geneva (Switzerland/France) during the weakly stratified fall/winter period 2018-2019. <br> The data include measurements from moored Acoustic Doppler Current Profilers (ADCPs) and vertical thermistor lines along with the corresponding 3D modeling and particle tracking results. <br> The three-dimensional model used in this study is based on the MIT General Circulation Model (MITgcm, http://mitgcm.org/, https://doi.org/10.1029/96JC02775). <br> The particle tracking code is based on ctracker (https://doi.org/10.5281/zenodo.1034118)
description: This work was supported by the Swiss National Science Foundation and the Bois Chamblard Foundation (https://www.bois-chamblard.ch/en/).
DOI: 10.5281/zenodo.6564425
title: Data for: Wind-induced hypolimnetic upwelling between the multi-depth basins of Lake Geneva during winter: An overlooked deepwater renewal mechanism?

description: Combining field observations, 3D hydrodynamic modeling and particle tracking, we investigated wind-driven interbasin exchange, and in particular hypolimnetic upwelling, between the deep <em>Grand Lac</em> (max. depth 309 m) and shallow <em>Petit Lac</em> (max. depth 75 m) basins of Lake Geneva (Switzerland/France) during the weakly stratified fall/winter period 2018-2019. <br> The data include measurements from moored Acoustic Doppler Current Profilers (ADCPs) and vertical thermistor lines along with the corresponding 3D modeling and particle tracking results. <br> The three-dimensional model used in this study is based on the MIT General Circulation Model (MITgcm, http://mitgcm.org/, https://doi.org/10.1029/96JC02775). <br> The particle tracking code is based on ctracker (https://doi.org/10.5281/zenodo.1034118)
description: This work was supported by the Swiss National Science Foundation and the Bois Chamblard Foundation (https://www.bois-chamblard.ch/en/).
DOI: 10.17029/2af94f02-a136-41a2-b6a4-9dc1421e102f
title: Dataset for Finland Climate (Kevo): 2007 - present

description: Temperature/Relative Humidity observations at 65 sites around Kevo Subarctic Research Station (hourly intervals). Please contact author if extensive use of the data for scientific research and publication is envisaged.
DOI: 10.5281/zenodo.6565337
title: New hourly HCHO total columns dataset

description: The new hourly HCHO dataset is generated by ground-based high-resolution FTIR, GEOS-Chem model and machine learning approach over Hefei, China.
DOI: 10.5281/zenodo.6565336
title: New hourly HCHO total columns dataset

description: The new hourly HCHO dataset is generated by ground-based high-resolution FTIR, GEOS-Chem model and machine learning approach over Hefei, China.