cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9a6d6xm
title: SUTRA model used to evaluate Saline or Brackish Aquifers as Reservoirs for Thermal Energy Storage in the Portland Basin, Oregon, USA

description: This archive documents five 30-year SUTRA simulations summarized in Burns at al. (2020), and provides output from one short (2-year) simulation to allow verification that the archive model code runs properly. A modified version of SUTRA 2.2 was used to evaluate Reservoir Thermal Energy Storage by simulating layered system conditions (grid spacing varies depending on simulation run time to prevent boundary effects). This version of SUTRA is summarized in Burns et al. (2015), but in short, the primary differences from the current public-release version (v3) are that cell-by-cell thermal and hydraulic properties can be defined (allowing representation of the layered Portland system) and viscosity and density of water are defined with non-linear relations, giving improved equations of state for a wide temperature range. Code authors anticipate the functionality used for this work will be released as v4 of SUTRA. This USGS data release contains all the input and output files for the simulations described in the associated journal article (https://doi.org/10.1016/j.geothermics.2020.101877). Burns, E.R., Williams, C.F., Ingebritsen, S.E., Voss, C.I., Spane, F.A., and DeAngelo, J., 2015, Understanding Heat and Groundwater Flow through Continental Flood Basalt Provinces: Insights Gained from Alternative Models of Permeability/Depth Relationships for the Columbia Plateau, USA, Geofluids (2015) 15, 120?138, doi: 10.1111/gfl.12095, http://onlinelibrary.wiley.com/doi/10.1111/gfl.12095/abstract
DOI: 10.17632/4ypmw43ccn.1
title: Replication Codes for: Output Hysteresis and Optimal Monetary Policy

description: Replication files for Garga and Singh (2020), "Output Hysteresis and Optimal Monetary Policy", Journal of Monetary Economics
DOI: 10.4125/pd0116th
title: Silver-Catalyzed [3+3] Annulation of Glycine Imino Esters with Seyferth–Gilbert Reagent To Access Tetrahydro-1,2,4-triazinecarboxylate Esters

description: A silver-catalyzed protocol for [3+3] annulation of glycine imino esters with Seyferth–Gilbert reagent was developed. A variety of phosphorylated tetrahydro-1,2,4-triazinecarboxylate esters were synthesized in moderate to good yields and with excellent diastereoselectivities. The dehydrogenation of a tetrahydro-1,2,4-triazine product to the corresponding triazine counterpart was also demonstrated.
DOI: 10.5281/zenodo.3899583
title: Auto-segmentation zip masks - eye, lens, patient

description: Auto-segmentation zip masks - eye, lens, patient
DOI: 10.5281/zenodo.3899582
title: Auto-segmentation zip masks - eye, lens, patient

description: Auto-segmentation zip masks - eye, lens, patient
DOI: 10.18112/openneuro.ds002766.v1.0.1
title: Cast-induced plasticity
DOI: 10.25550/2e-yw1j
title: microCT scan of 14.0 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 14.0 mm standard length
DOI: 10.25550/2e-yw1m
title: microCT scan of 14.5 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 14.5 mm standard length
DOI: 10.25550/2e-yw1p
title: microCT scan of 15.0 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 15.0 mm standard length
DOI: 10.25550/2e-yw1r
title: microCT scan of 15.5 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 15.5 mm standard length
DOI: 10.25550/2e-yw1t
title: microCT scan of 16.0 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 16.0 mm standard length
DOI: 10.25550/2e-yw1w
title: microCT scan of 16.5 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 16.5 mm standard length
DOI: 10.25550/2e-yw1y
title: microCT scan of 17.0 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 17.0 mm standard length
DOI: 10.25550/2e-yw20
title: microCT scan of 17.5 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 17.5 mm standard length
DOI: 10.25550/2e-yw22
title: microCT scan of 18.0 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 18.0 mm standard length
DOI: 10.25550/2e-yw24
title: microCT scan of 18.5 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 18.5 mm standard length
DOI: 10.25550/2e-yw26
title: microCT scan of 19.0 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 19.0 mm standard length
DOI: 10.25550/2e-yw2g
title: microCT scan of 21.5 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 21.5 mm standard length
DOI: 10.25550/2e-yw2j
title: microCT scan of 22.0 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 22.0 mm standard length
DOI: 10.25550/2e-yw2m
title: microCT scan of 22.5 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 22.5 mm standard length
DOI: 10.25550/2e-yw2p
title: microCT scan of 23.0 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 23.0 mm standard length
DOI: 10.25550/2e-yw2r
title: microCT scan of 23.5 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 23.5 mm standard length
DOI: 10.25550/2e-yw2t
title: microCT scan of 24.0 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 24.0 mm standard length
DOI: 10.25550/2e-yw2w
title: microCT scan of 24.5 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 24.5 mm standard length
DOI: 10.25550/2e-yw2y
title: microCT scan of 25.0 mm hyperthyroid Danio rerio head

description: 3D microCT scan of a hyperthyroid D. rerio head at 25.0 mm standard length
DOI: 10.34740/kaggle/dsv/4821242
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/4821319
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.7512235
title: Lithospheric velocity structure beneath the northern South China Sea

description: SAC data of the article "Lithospheric velocity structure beneath the northern South China Sea". The frequency ranges of the *.BHT.SAC and *.BHT.high.SAC in Event 1 and Event 2 are 0.02-0.5Hz and 0.1-1Hz respectively. The frequency ranges of the *.BHZ.SAC and *.BHZ.high.SAC in Event 3 are 0.02-1Hz and 0.2-1.5Hz respectively.
DOI: 10.5281/zenodo.7512234
title: Lithospheric velocity structure beneath the northern South China Sea

description: SAC data of the article "Lithospheric velocity structure beneath the northern South China Sea". The frequency ranges of the *.BHT.SAC and *.BHT.high.SAC in Event 1 and Event 2 are 0.02-0.5Hz and 0.1-1Hz respectively. The frequency ranges of the *.BHZ.SAC and *.BHZ.high.SAC in Event 3 are 0.02-1Hz and 0.2-1.5Hz respectively.
DOI: 10.6084/m9.figshare.21835755
title: Supplementary Material for: Prognostic value of amniotic fluid viral load to predict adverse outcome in pregnancies complicated by congenital Cytomegalovirus infection: a multicenter study

description: Introduction: To report the prognostic value of Cytomegalovirus (CMV) viral load in the amniotic fluid (AF) in predicting the outcome of infected pregnancies. Methods: Multicenter retrospective study involving 11 Italian referral centers from 2012 to 2021. Inclusion criteria were fetuses with confirmed congenital CMV infection. The primary outcome was the prognostic value accuracy of CMV qPCR in AF in predicting the risk of additional anomalies detected either at follow-up ultrasound or fetal MRI. The secondary outcome was prediction of post-natal clinical symptoms related CMV infection. Multivariate logistic regression and area under the curve (AUC) analyses were used to analyze the data. Results: 104 fetuses were included. Associated anomalies detected at follow-up ultrasound or fetal MRI were detected in 14.4% of cases (15/104). Mean AF CMV viral load was significantly higher in fetuses with compared to those without additional anomalies at follow-up ultrasound or fetal MRI (3346634.27±402582.95 vs 761934±222513,2 p&lt;0.001). At multivariate logistic regression analysis, CMV AF viral load was independently associated with the presence of additional anomalies at follow up ultrasound or MRI, with an OR of 1.07 (p= 0.010), while maternal age(p=0.24), trimester at maternal infection (p= 0.97), type of infection (primary vs non-primary) (p=0.12) were not. CMV AF viral load had AUC of 0.755 for the occurrence of anomalies due to CMV infection, with an optimal cut-off point of &gt;1310520 copies/ml, a sensitivity of 66.7% and a specificity of 84.3% a positive likelihood ratio of 4.24. Once excluding fetuses with anomalies at ultrasound or MRI, the diagnostic performance of qPCR in identifying fetuses with symptomatic infection after birth was low, with an AUC of 0.586, Conclusion: CMV viral load at second trimester amniocentesis has a moderate accuracy for the occurrence of CMV related anomalies in fetuses with congenital infection and normal ultrasound at the initial diagnosis. Conversely, prediction of symptomatic infection is low.
DOI: 10.6084/m9.figshare.21835755.v1
title: Supplementary Material for: Prognostic value of amniotic fluid viral load to predict adverse outcome in pregnancies complicated by congenital Cytomegalovirus infection: a multicenter study

description: Introduction: To report the prognostic value of Cytomegalovirus (CMV) viral load in the amniotic fluid (AF) in predicting the outcome of infected pregnancies. Methods: Multicenter retrospective study involving 11 Italian referral centers from 2012 to 2021. Inclusion criteria were fetuses with confirmed congenital CMV infection. The primary outcome was the prognostic value accuracy of CMV qPCR in AF in predicting the risk of additional anomalies detected either at follow-up ultrasound or fetal MRI. The secondary outcome was prediction of post-natal clinical symptoms related CMV infection. Multivariate logistic regression and area under the curve (AUC) analyses were used to analyze the data. Results: 104 fetuses were included. Associated anomalies detected at follow-up ultrasound or fetal MRI were detected in 14.4% of cases (15/104). Mean AF CMV viral load was significantly higher in fetuses with compared to those without additional anomalies at follow-up ultrasound or fetal MRI (3346634.27±402582.95 vs 761934±222513,2 p&lt;0.001). At multivariate logistic regression analysis, CMV AF viral load was independently associated with the presence of additional anomalies at follow up ultrasound or MRI, with an OR of 1.07 (p= 0.010), while maternal age(p=0.24), trimester at maternal infection (p= 0.97), type of infection (primary vs non-primary) (p=0.12) were not. CMV AF viral load had AUC of 0.755 for the occurrence of anomalies due to CMV infection, with an optimal cut-off point of &gt;1310520 copies/ml, a sensitivity of 66.7% and a specificity of 84.3% a positive likelihood ratio of 4.24. Once excluding fetuses with anomalies at ultrasound or MRI, the diagnostic performance of qPCR in identifying fetuses with symptomatic infection after birth was low, with an AUC of 0.586, Conclusion: CMV viral load at second trimester amniocentesis has a moderate accuracy for the occurrence of CMV related anomalies in fetuses with congenital infection and normal ultrasound at the initial diagnosis. Conversely, prediction of symptomatic infection is low.
DOI: 10.6084/m9.figshare.21835758
title: Supplementary Material for: Prognostic value of amniotic fluid viral load to predict adverse outcome in pregnancies complicated by congenital Cytomegalovirus infection: a multicenter study

description: Introduction: To report the prognostic value of Cytomegalovirus (CMV) viral load in the amniotic fluid (AF) in predicting the outcome of infected pregnancies. Methods: Multicenter retrospective study involving 11 Italian referral centers from 2012 to 2021. Inclusion criteria were fetuses with confirmed congenital CMV infection. The primary outcome was the prognostic value accuracy of CMV qPCR in AF in predicting the risk of additional anomalies detected either at follow-up ultrasound or fetal MRI. The secondary outcome was prediction of post-natal clinical symptoms related CMV infection. Multivariate logistic regression and area under the curve (AUC) analyses were used to analyze the data. Results: 104 fetuses were included. Associated anomalies detected at follow-up ultrasound or fetal MRI were detected in 14.4% of cases (15/104). Mean AF CMV viral load was significantly higher in fetuses with compared to those without additional anomalies at follow-up ultrasound or fetal MRI (3346634.27±402582.95 vs 761934±222513,2 p&lt;0.001). At multivariate logistic regression analysis, CMV AF viral load was independently associated with the presence of additional anomalies at follow up ultrasound or MRI, with an OR of 1.07 (p= 0.010), while maternal age(p=0.24), trimester at maternal infection (p= 0.97), type of infection (primary vs non-primary) (p=0.12) were not. CMV AF viral load had AUC of 0.755 for the occurrence of anomalies due to CMV infection, with an optimal cut-off point of &gt;1310520 copies/ml, a sensitivity of 66.7% and a specificity of 84.3% a positive likelihood ratio of 4.24. Once excluding fetuses with anomalies at ultrasound or MRI, the diagnostic performance of qPCR in identifying fetuses with symptomatic infection after birth was low, with an AUC of 0.586, Conclusion: CMV viral load at second trimester amniocentesis has a moderate accuracy for the occurrence of CMV related anomalies in fetuses with congenital infection and normal ultrasound at the initial diagnosis. Conversely, prediction of symptomatic infection is low.
DOI: 10.6084/m9.figshare.21835758.v1
title: Supplementary Material for: Prognostic value of amniotic fluid viral load to predict adverse outcome in pregnancies complicated by congenital Cytomegalovirus infection: a multicenter study

description: Introduction: To report the prognostic value of Cytomegalovirus (CMV) viral load in the amniotic fluid (AF) in predicting the outcome of infected pregnancies. Methods: Multicenter retrospective study involving 11 Italian referral centers from 2012 to 2021. Inclusion criteria were fetuses with confirmed congenital CMV infection. The primary outcome was the prognostic value accuracy of CMV qPCR in AF in predicting the risk of additional anomalies detected either at follow-up ultrasound or fetal MRI. The secondary outcome was prediction of post-natal clinical symptoms related CMV infection. Multivariate logistic regression and area under the curve (AUC) analyses were used to analyze the data. Results: 104 fetuses were included. Associated anomalies detected at follow-up ultrasound or fetal MRI were detected in 14.4% of cases (15/104). Mean AF CMV viral load was significantly higher in fetuses with compared to those without additional anomalies at follow-up ultrasound or fetal MRI (3346634.27±402582.95 vs 761934±222513,2 p&lt;0.001). At multivariate logistic regression analysis, CMV AF viral load was independently associated with the presence of additional anomalies at follow up ultrasound or MRI, with an OR of 1.07 (p= 0.010), while maternal age(p=0.24), trimester at maternal infection (p= 0.97), type of infection (primary vs non-primary) (p=0.12) were not. CMV AF viral load had AUC of 0.755 for the occurrence of anomalies due to CMV infection, with an optimal cut-off point of &gt;1310520 copies/ml, a sensitivity of 66.7% and a specificity of 84.3% a positive likelihood ratio of 4.24. Once excluding fetuses with anomalies at ultrasound or MRI, the diagnostic performance of qPCR in identifying fetuses with symptomatic infection after birth was low, with an AUC of 0.586, Conclusion: CMV viral load at second trimester amniocentesis has a moderate accuracy for the occurrence of CMV related anomalies in fetuses with congenital infection and normal ultrasound at the initial diagnosis. Conversely, prediction of symptomatic infection is low.
DOI: 10.6084/m9.figshare.20696533
title: Table S15. Grouping of GbW in haploblocks

description: <strong>Table S14. Grouping of GbW in haploblock</strong>
DOI: 10.6084/m9.figshare.20696533.v2
title: Table S14. Grouping of GbW in haploblocks

description: <strong>Table S14. Grouping of GbW in haploblock</strong>
DOI: 10.6084/m9.figshare.20696533.v3
title: Table S15. Grouping of GbW in haploblocks

description: <strong>Table S14. Grouping of GbW in haploblock</strong>
DOI: 10.6084/m9.figshare.20696530
title: Table S14. Putative selected scan regions

description: <strong>Table S14. Putative selected scan region</strong>
DOI: 10.6084/m9.figshare.20696530.v2
title: Table S13. Putative selected scan regions

description: <strong>Table S13. Putative selected scan region</strong>
DOI: 10.6084/m9.figshare.20696530.v3
title: Table S14. Putative selected scan regions

description: <strong>Table S14. Putative selected scan region</strong>
DOI: 10.6084/m9.figshare.20696524
title: Table S13. Gene variants annotation within haploblocks

description: <strong>Table S13. Gene variants annotation within haploblocks</strong>
DOI: 10.6084/m9.figshare.20696524.v2
title: Table S12. Gene variants annotation within haploblocks

description: <strong>Table S12. Gene variants annotation within haploblocks</strong>
DOI: 10.6084/m9.figshare.20696524.v3
title: Table S13. Gene variants annotation within haploblocks

description: <strong>Table S13. Gene variants annotation within haploblocks</strong>
DOI: 10.6084/m9.figshare.20696521
title: Table S12. Grouping of cultivars in haploblocks

description: <strong>Table S12. Grouping of cultivars in haploblocks</strong>
DOI: 10.6084/m9.figshare.20696521.v2
title: Table S11. Grouping of cultivars in haploblocks

description: <strong>Table S11. Grouping of cultivars in haploblocks</strong>
DOI: 10.6084/m9.figshare.20696521.v3
title: Table S12. Grouping of cultivars in haploblocks

description: <strong>Table S12. Grouping of cultivars in haploblocks</strong>
DOI: 10.6084/m9.figshare.20696518
title: Table S9. G. darwinii-specific SVs overlapping genes

description: <strong>Table S9. G. darwinii-specific SVs overlapping genes</strong>
DOI: 10.6084/m9.figshare.20696518.v3
title: Table S9. G. darwinii-specific SVs overlapping genes

description: <strong>Table S9. G. darwinii-specific SVs overlapping genes</strong>
DOI: 10.6084/m9.figshare.20696518.v2
title: Table S8. G. darwinii-specific SVs overlapping genes

description: <strong>Table S8. G. darwinii-specific SVs overlapping genes</strong>
DOI: 10.6084/m9.figshare.20696509
title: Table S8. SVs overlapping genes intorgressed from upland cotton

description: <strong>Table S8. SVs overlapping genes intorgressed from upland cotton</strong>
DOI: 10.6084/m9.figshare.20696509.v2
title: Table S7. SVs overlapping genes intorgressed from upland cotton

description: <strong>Table S7. SVs overlapping genes intorgressed from upland cotton</strong>
DOI: 10.6084/m9.figshare.20696509.v3
title: Table S8. SVs overlapping genes intorgressed from upland cotton

description: <strong>Table S8. SVs overlapping genes intorgressed from upland cotton</strong>
DOI: 10.6084/m9.figshare.20696503.v1
title: Table S6. Genes overlapped with PAVs between Gb_M211036 and 3-79 and between Gb_M211036 and G. darwinii

description: <strong>Table S6. Genes overlapped with PAVs between Gb_M211036 and 3-79 and between Gb_M211036 and </strong><em><strong>G. darwinii</strong></em>
DOI: 10.6084/m9.figshare.20696491
title: Table S6. SVs overlapping genes

description: Table S6. SV overlapping genes
DOI: 10.6084/m9.figshare.20696491.v2
title: Table S5. SVs overlapping genes

description: Table S5. SV overlapping genes
DOI: 10.6084/m9.figshare.20696491.v3
title: Table S6. SVs overlapping genes

description: Table S6. SV overlapping genes
DOI: 10.6084/m9.figshare.21835761.v1
title: TiKTok_LGTBI_16052022_a_16112022.xlsx

description: Acceso a la base de datos de las 6 924 publicaciones enTikTok del 16 de mayo al 16 de noviembre de 2022 con contenido LGTBI. El fichero Excel pone a disposición de los interesados, para corroborar o indagar, las siguientes hojas: 2 000 publicaciones con enlaces directos; la agrupación de publicaciones diarias y su sentimiento asociado, por último, las 10 publicaciones más virales analizadas en profundidad de las RRSS del artículo científico. Los datos son de libre acceso, la difusión científica del uso de estos requiere un acuerdo de difusión con el grupo de investigación XXXX.
DOI: 10.34740/kaggle/dsv/4821384
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.21835761.v2
title: TiKTok_LGTBI_16052022_a_16112022.xlsx

description: Acceso a la base de datos de las 6 924 publicaciones enTikTok del 16 de mayo al 16 de noviembre de 2022 con contenido LGTBI. El fichero Excel pone a disposición de los interesados, para corroborar o indagar, las siguientes hojas: 2 000 publicaciones con enlaces directos; la agrupación de publicaciones diarias y su sentimiento asociado, por último, las 10 publicaciones más virales analizadas en profundidad de las RRSS del artículo científico. Los datos son de libre acceso, la difusión científica del uso de estos requiere un acuerdo de difusión con el grupo de investigación XXXX.
DOI: 10.6084/m9.figshare.21835761.v3
title: TiKTok_LGTBI_16052022_a_16112022.xlsx

description: Acceso a la base de datos de las 6 924 publicaciones enTikTok del 16 de mayo al 16 de noviembre de 2022 con contenido LGTBI. El fichero Excel pone a disposición de los interesados, para corroborar o indagar, las siguientes hojas: 2 000 publicaciones con enlaces directos; la agrupación de publicaciones diarias y su sentimiento asociado, por último, las 10 publicaciones más virales analizadas en profundidad de las RRSS del artículo científico. Los datos son de libre acceso, la difusión científica del uso de estos requiere un acuerdo de difusión con el grupo de investigación XXXX.
DOI: 10.6084/m9.figshare.21835761.v4
title: TiKTok_LGTBI_16052022_a_16112022.xlsx

description: Acceso a la base de datos de las 6 924 publicaciones enTikTok del 16 de mayo al 16 de noviembre de 2022 con contenido LGTBI. El fichero Excel pone a disposición de los interesados, para corroborar o indagar, las siguientes hojas: 2 000 publicaciones con enlaces directos; la agrupación de publicaciones diarias y su sentimiento asociado, por último, las 10 publicaciones más virales analizadas en profundidad de las RRSS del artículo científico. Los datos son de libre acceso, la difusión científica del uso de estos requiere un acuerdo de difusión con el grupo de investigación XXXX.
DOI: 10.6084/m9.figshare.21835761
title: TiKTok_LGTBI_16052022_a_16112022.xlsx

description: Acceso a la base de datos de las 6 924 publicaciones enTikTok del 16 de mayo al 16 de noviembre de 2022 con contenido LGTBI. El fichero Excel pone a disposición de los interesados, para corroborar o indagar, las siguientes hojas: 2 000 publicaciones con enlaces directos; la agrupación de publicaciones diarias y su sentimiento asociado, por último, las 10 publicaciones más virales analizadas en profundidad de las RRSS del artículo científico. Los datos son de libre acceso, la difusión científica del uso de estos requiere un acuerdo de difusión con el grupo de investigación XXXX.
DOI: 10.6084/m9.figshare.21835761.v6
title: TiKTok_LGTBI_16052022_a_16112022.xlsx

description: Acceso a la base de datos de las 6 924 publicaciones enTikTok del 16 de mayo al 16 de noviembre de 2022 con contenido LGTBI. El fichero Excel pone a disposición de los interesados, para corroborar o indagar, las siguientes hojas: 2 000 publicaciones con enlaces directos; la agrupación de publicaciones diarias y su sentimiento asociado, por último, las 10 publicaciones más virales analizadas en profundidad de las RRSS del artículo científico. Los datos son de libre acceso, la difusión científica del uso de estos requiere un acuerdo de difusión con el grupo de investigación XXXX.