cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/usctheses-ouc11256109
title: Unknown
DOI: 10.25549/usctheses-ouc11256104
title: Unknown
DOI: 10.25549/usctheses-ouc11256105
title: Unknown
DOI: 10.25549/usctheses-ouc11256100
title: Unknown
DOI: 10.25549/usctheses-ouc11256099
title: Unknown
DOI: 10.25549/usctheses-ouc11256095
title: Unknown
DOI: 10.25549/usctheses-ouc11256092
title: Unknown
DOI: 10.25549/usctheses-ouc11256097
title: Unknown
DOI: 10.25549/usctheses-ouc11256086
title: Unknown
DOI: 10.25549/usctheses-ouc11256076
title: Unknown
DOI: 10.25549/usctheses-ouc11256075
title: Unknown
DOI: 10.25549/usctheses-ouc11256074
title: Unknown
DOI: 10.25549/usctheses-ouc11256079
title: Unknown
DOI: 10.25549/usctheses-ouc11256073
title: Unknown
DOI: 10.25549/usctheses-ouc11256072
title: Unknown
DOI: 10.25549/usctheses-ouc11256071
title: Unknown
DOI: 10.25549/usctheses-ouc11256065
title: Unknown
DOI: 10.25549/usctheses-ouc11256064
title: Unknown
DOI: 10.25549/usctheses-ouc11256061
title: Unknown
DOI: 10.25549/usctheses-ouc11256318
title: Unknown
DOI: 10.25549/usctheses-ouc11256317
title: Unknown
DOI: 10.25549/usctheses-ouc11256314
title: Unknown
DOI: 10.25549/usctheses-ouc11256309
title: Unknown
DOI: 10.25549/usctheses-ouc11256311
title: Unknown
DOI: 10.25549/usctheses-ouc11256310
title: Unknown
DOI: 10.25549/usctheses-ouc11256305
title: Unknown
DOI: 10.25549/usctheses-ouc11256059
title: Unknown
DOI: 10.25549/usctheses-ouc11256063
title: Unknown
DOI: 10.25549/usctheses-ouc11256062
title: Unknown
DOI: 10.25549/usctheses-ouc11256306
title: Unknown
DOI: 10.25549/usctheses-ouc11256304
title: Unknown
DOI: 10.25549/usctheses-ouc11256056
title: Unknown
DOI: 10.25549/usctheses-ouc11256054
title: Unknown
DOI: 10.25549/usctheses-ouc11256047
title: Unknown
DOI: 10.25549/usctheses-ouc11256044
title: Unknown
DOI: 10.25549/usctheses-ouc11256033
title: Unknown
DOI: 10.25549/usctheses-ouc11256031
title: Unknown
DOI: 10.25549/usctheses-ouc11256027
title: Unknown
DOI: 10.25549/usctheses-ouc11256032
title: Unknown
DOI: 10.25549/usctheses-ouc11256035
title: Unknown
DOI: 10.6084/m9.figshare.21436701
title: Supplementary Material for: Low baseline CXCL9 predicts early progressive disease in unresectable HCC with atezolizumab plus bevacizumab treatment

description: Introduction: Atezolizumab plus bevacizumab treatment is highly effective in patients with unresectable hepatocellular carcinoma (HCC). However, progressive disease (PD) occurs in approximately 20% of HCC patients treated with atezolizumab plus bevacizumab, resulting in a poor prognosis. Thus, the prediction and early detection of HCC is crucial. Methods: Patients with unresectable HCC treated with atezolizumab plus bevacizumab and had baseline preserved serum (n = 68) were screened and classified according to their PD, six weeks after treatment initiation (early PD; n = 13). Of these, four patients each with and without early PD were selected for cytokine array and genetic analyses. The identified factors were validated in the validated cohort (n = 60) and evaluated in patients treated with lenvatinib. Results: No significant differences were observed in the genetic alterations in circulating tumor DNA. Cytokine array data revealed that baseline MIG (CXCL9), ENA-78, and RANTES differed substantially between patients with and without early PD. Subsequent analysis in the validation cohort revealed that baseline CXCL9 was significantly lower in patients with early PD than that in patients without early PD, and the best cut-off value of serum CXCL9 to predict early PD was 333 pg/mL (sensitivity: 0.600, specificity: 0.923, AUC = 0.75). In patients with lower serum CXCL9 (&lt; 333 pg/mL), 35.3% (12/34) experienced early PD with atezolizumab plus bevacizumab, while progression-free survival (PFS) was significantly shorter relative to that in patients without (median PFS, 126 days vs 227 days; HR: 2.41, 95% CI: 1.22–4.80, p = 0.0084). While patients with objective response to lenvatinib had significantly lower CXCL9 levels compared with those of patients without. Conclusion: Baseline low serum CXCL9 (&lt; 333 pg/mL) levels may predict early PD in patients with unresectable HCC treated with atezolizumab plus bevacizumab.
DOI: 10.6084/m9.figshare.21436701.v1
title: Supplementary Material for: Low baseline CXCL9 predicts early progressive disease in unresectable HCC with atezolizumab plus bevacizumab treatment

description: Introduction: Atezolizumab plus bevacizumab treatment is highly effective in patients with unresectable hepatocellular carcinoma (HCC). However, progressive disease (PD) occurs in approximately 20% of HCC patients treated with atezolizumab plus bevacizumab, resulting in a poor prognosis. Thus, the prediction and early detection of HCC is crucial. Methods: Patients with unresectable HCC treated with atezolizumab plus bevacizumab and had baseline preserved serum (n = 68) were screened and classified according to their PD, six weeks after treatment initiation (early PD; n = 13). Of these, four patients each with and without early PD were selected for cytokine array and genetic analyses. The identified factors were validated in the validated cohort (n = 60) and evaluated in patients treated with lenvatinib. Results: No significant differences were observed in the genetic alterations in circulating tumor DNA. Cytokine array data revealed that baseline MIG (CXCL9), ENA-78, and RANTES differed substantially between patients with and without early PD. Subsequent analysis in the validation cohort revealed that baseline CXCL9 was significantly lower in patients with early PD than that in patients without early PD, and the best cut-off value of serum CXCL9 to predict early PD was 333 pg/mL (sensitivity: 0.600, specificity: 0.923, AUC = 0.75). In patients with lower serum CXCL9 (&lt; 333 pg/mL), 35.3% (12/34) experienced early PD with atezolizumab plus bevacizumab, while progression-free survival (PFS) was significantly shorter relative to that in patients without (median PFS, 126 days vs 227 days; HR: 2.41, 95% CI: 1.22–4.80, p = 0.0084). While patients with objective response to lenvatinib had significantly lower CXCL9 levels compared with those of patients without. Conclusion: Baseline low serum CXCL9 (&lt; 333 pg/mL) levels may predict early PD in patients with unresectable HCC treated with atezolizumab plus bevacizumab.
DOI: 10.5281/zenodo.7267826
title: Reaction Optimizer Spreadsheet tool

description: Synergistic data analysis tool for green chemistry. Includes visual kinetic analysis (variable time normalization analysis), a linear solvation energy relationship calculator to determine solvent effects, and green chemistry metrics.
DOI: 10.5281/zenodo.7267827
title: Reaction Optimizer Spreadsheet tool

description: Synergistic data analysis tool for green chemistry. Includes visual kinetic analysis (variable time normalization analysis), a linear solvation energy relationship calculator to determine solvent effects, and green chemistry metrics.
DOI: 10.5285/18f83caf9bdf4cb4803484d8dce19eef
title: Extreme precipitation return level changes at 1, 3, 6, 12, 24 hours for 2050 and 2070, derived from UKCP Local Projections on a 5km grid for the FUTURE-DRAINAGE Project

description: Extreme short-duration precipitation changes, derived from the UKCP Local projections at 5km resolution (Kendon et al 2021) have been estimated using a spatial statistical model as part of the NERC-funded Future-Drainage project. Future changes ("uplifts") are estimated for 2050 and 2070 for RCP8.5 compared to the baseline of 1990 for precipitation durations of 1-, 3-, 6-, 12-, 24-hours. 2070 is the central year for 2060-2080 ("UKCP Local TS3") time-slice, and 2050 value is an interpolation between TS3 and 2020-2040 ("UKCP Local TS2") time-slice. 2050 is an important date for the UK water industry in its delivery of Drainage and Wastewater Management Plans (DWMPs; Water UK, 2019). Return level changes are provided for 2, 30, and 100-year return periods. The data is on the OSGB 1936/EPSG:27700 projection at 5km resolution. The underlying statistical model is described in Youngman (2018, 2020) and is applied individually to each of the twelve UKCP Local ensemble members. Future changes plus their uncertainties from each ensemble member are then combined following the method described in Fosser et al (2020). Two estimates of future changes are provided from this "super-ensemble" by estimating percentiles from the distribution obtained using the Fosser et al (2020) method - a central (50%) and high (95%) estimate. Values are rounded to nearest 5%. The future changes are available for each 5km grid point within the borders of the United Kingdom, provided as ERSI shapefiles and a CSV (comma-separated values) file, with separate files for different durations.
DOI: 10.25549/usctheses-ouc11290579
title: Unknown
DOI: 10.25549/usctheses-ouc11290495
title: Unknown
DOI: 10.25549/usctheses-ouc1367487
title: Unknown
DOI: 10.25549/usctheses-ouc1368006
title: Unknown
DOI: 10.25549/usctheses-ouc1367833
title: Unknown
DOI: 10.25549/usctheses-ouc11292554
title: Unknown
DOI: 10.25549/usctheses-ouc1367588
title: Unknown
DOI: 10.25549/usctheses-ouc1344334
title: Unknown
DOI: 10.25549/usctheses-ouc1395812
title: Unknown
DOI: 10.25549/usctheses-ouc1339592
title: Unknown
DOI: 10.25549/usctheses-ouc1340778
title: Unknown
DOI: 10.25549/usctheses-ouc1339731
title: Unknown
DOI: 10.25549/usctheses-ouc1366630
title: Unknown
DOI: 10.25549/usctheses-ouc1346745
title: Unknown
DOI: 10.25549/usctheses-ouc1367732
title: Unknown
DOI: 10.25549/usctheses-ouc1365419
title: Unknown
DOI: 10.25549/usctheses-ouc11291049
title: Unknown
DOI: 10.25549/usctheses-ouc11259237
title: Unknown
DOI: 10.25549/usctheses-ouc11259295
title: Unknown
DOI: 10.25549/usctheses-ouc11259299
title: Unknown
DOI: 10.25549/usctheses-ouc11258409
title: Unknown
DOI: 10.25549/usctheses-ouc11260331
title: Unknown
DOI: 10.25549/usctheses-ouc11258380
title: Unknown
DOI: 10.25549/usctheses-ouc11258371
title: Unknown
DOI: 10.25549/usctheses-ouc11258366
title: Unknown
DOI: 10.25549/usctheses-ouc11258362
title: Unknown
DOI: 10.25549/usctheses-ouc11258356
title: Unknown
DOI: 10.25549/usctheses-ouc11258408
title: Unknown
DOI: 10.25549/usctheses-ouc11258407
title: Unknown
DOI: 10.25549/usctheses-ouc11258402
title: Unknown
DOI: 10.25549/usctheses-ouc11257985
title: Unknown
DOI: 10.25549/usctheses-ouc11256383
title: Unknown
DOI: 10.25549/usctheses-ouc11256382
title: Unknown
DOI: 10.25549/usctheses-ouc11256384
title: Unknown
DOI: 10.25549/usctheses-ouc11256379
title: Unknown
DOI: 10.25549/usctheses-ouc11256377
title: Unknown
DOI: 10.25549/usctheses-ouc11256375
title: Unknown
DOI: 10.25549/usctheses-ouc11256366
title: Unknown
DOI: 10.25549/usctheses-ouc11256368
title: Unknown
DOI: 10.25549/usctheses-ouc11257978
title: Unknown
DOI: 10.25549/usctheses-ouc11257973
title: Unknown
DOI: 10.25549/usctheses-ouc11257946
title: Unknown
DOI: 10.25549/usctheses-ouc11259507
title: Unknown
DOI: 10.25549/usctheses-ouc11259437
title: Unknown
DOI: 10.6084/m9.figshare.19448531
title: A transcriptomic axis predicts state modulation of cortical interneurons

description: This data release contains the in vivo neural recordings (using two-photon calcium imaging) and post-hoc transcriptomic information for &gt;1000 inhibitory cells in mouse primary visual cortex. This data consists in 4 animals and 17 recording sessions, during spontaneous activity and presentation of visual stimuli (drifting gratings, natural images). <br> DatasetTypes.xlsx provides useful information about the dataset. <br> 2022-10-31: The XY position given by neuron.stackPos was wrong, neuron.stackPosCorrected now gives the correct alignment between sessions. <br> If you use these data in a paper, please cite the original research paper, as well as this dataset using the figshare doi.<br>
DOI: 10.6084/m9.figshare.19448531.v1
title: A transcriptomic axis predicts state modulation of cortical interneurons

description: This data release contains the in vivo neural recordings (using two-photon calcium imaging) and post-hoc transcriptomic information for &gt;1000 inhibitory cells in mouse primary visual cortex. This data consists in 4 animals and 17 recording sessions, during spontaneous activity and presentation of visual stimuli (drifting gratings, natural images). <br>DatasetTypes.xlsx provides useful information about the dataset. <br>If you use these data in a paper, please cite the original research paper, as well as this dataset using the figshare doi.<br>
DOI: 10.25549/usctheses-ouc11259428
title: Unknown
DOI: 10.25549/usctheses-ouc11259407
title: Unknown
DOI: 10.25549/usctheses-ouc11259336
title: Unknown
DOI: 10.25549/usctheses-ouc11259253
title: Unknown
DOI: 10.25549/usctheses-ouc11259217
title: Unknown
DOI: 10.25549/usctheses-ouc11256367
title: Unknown
DOI: 10.25549/usctheses-ouc11256365
title: Unknown
DOI: 10.25549/usctheses-ouc11256364
title: Unknown
DOI: 10.25549/usctheses-ouc11256360
title: Unknown
DOI: 10.25549/usctheses-ouc11256362
title: Unknown
DOI: 10.25549/usctheses-ouc11256361
title: Unknown
DOI: 10.25549/usctheses-ouc11256359
title: Unknown
DOI: 10.25549/usctheses-ouc11256358
title: Unknown
DOI: 10.25549/usctheses-ouc11256357
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DOI: 10.25549/usctheses-ouc11256354
title: Unknown
DOI: 10.25549/usctheses-ouc11256355
title: Unknown
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title: Unknown
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title: Unknown
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title: Unknown
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title: Unknown
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title: Unknown
DOI: 10.25549/usctheses-ouc11256335
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title: Unknown
DOI: 10.25549/usctheses-ouc11256334
title: Unknown
DOI: 10.25549/usctheses-ouc11256333
title: Unknown
DOI: 10.25549/usctheses-ouc11256343
title: Unknown
DOI: 10.25549/usctheses-ouc11256336
title: Unknown
DOI: 10.25549/usctheses-ouc11256332
title: Unknown
DOI: 10.25549/usctheses-ouc11256331
title: Unknown
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title: Unknown
DOI: 10.25549/usctheses-ouc1413837
title: Unknown
DOI: 10.25549/usctheses-ouc1413668
title: Unknown
DOI: 10.25549/usctheses-ouc1413591
title: Unknown
DOI: 10.25549/usctheses-ouc1405532
title: Unknown
DOI: 10.25549/usctheses-ouc1400285
title: Unknown
DOI: 10.25549/usctheses-ouc1413411
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DOI: 10.25549/usctheses-ouc1404678
title: Unknown
DOI: 10.25549/usctheses-ouc1399655
title: Unknown
DOI: 10.25549/usctheses-ouc1414874
title: Unknown
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title: Unknown
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title: Unknown
DOI: 10.25549/usctheses-ouc11262119
title: Unknown
DOI: 10.25549/usctheses-ouc1399330
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DOI: 10.25549/usctheses-ouc1408483
title: Unknown
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title: Unknown
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title: Unknown
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title: Unknown
DOI: 10.25549/usctheses-ouc1414462
title: Unknown
DOI: 10.25549/usctheses-ouc1412604
title: Microsoft Word - Thesis FINAL DRAFT.docx
DOI: 10.25549/usctheses-ouc1415417
title: Unknown
DOI: 10.25549/usctheses-c127-599227
title: Page 2
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title: Unknown
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DOI: 10.25549/usctheses-c36-155
title: Page 156
DOI: 10.25549/usctheses-ouc1347635
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title: Unknown
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title: Unknown
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title: Unknown
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title: Unknown
DOI: 10.25549/usctheses-ouc1346928
title: Unknown
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title: Unknown
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title: Unknown
DOI: 10.25549/usctheses-ouc1351731
title: Unknown
DOI: 10.17632/7343w86mzv.1
title: HIV Protease Inhibitor Attenuated Astrocyte Autophagy Involvement in Inflammation via p38 MAPK Pathway

description: HIV Protease Inhibitor Attenuated Astrocyte Autophagy Involvement in Inflammation via p38 MAPK Pathway
DOI: 10.25549/usctheses-ouc1350086
title: Unknown
DOI: 10.25549/usctheses-ouc1345170
title: Unknown
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title: Unknown
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title: Unknown
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title: Unknown
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title: Unknown
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title: Unknown
DOI: 10.25549/usctheses-ouc11260333
title: Unknown
DOI: 10.25549/usctheses-ouc11256536
title: Unknown
DOI: 10.25549/usctheses-ouc11260307
title: Unknown
DOI: 10.25549/usctheses-ouc11260189
title: Unknown
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DOI: 10.25549/usctheses-ouc11260035
title: Unknown
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title: Unknown
DOI: 10.25549/usctheses-ouc11258013
title: Unknown
DOI: 10.25549/usctheses-ouc11258007
title: Unknown
DOI: 10.25549/usctheses-ouc11259832
title: Unknown
DOI: 10.25549/usctheses-ouc11258551
title: Unknown
DOI: 10.25549/usctheses-ouc11258527
title: Unknown
DOI: 10.25549/usctheses-ouc11258519
title: Unknown
DOI: 10.5517/ccdc.csd.cc28c4zs
title: CCDC 2096095: Experimental Crystal Structure Determination

description: Related Article: Emiko Kinoshita-Kikuta, Yoshimi Ichimaru, Yoshi Yamano, Koichi Kato, Hiromasa Kurosaki, Eiji Kinoshita, Tohru Koike|2021|Bull.Chem.Soc.Jpn.|94|2670|doi:10.1246/bcsj.20210280
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25549/usctheses-ouc11258640
title: Unknown
DOI: 10.25549/usctheses-ouc11258389
title: Unknown
DOI: 10.25549/usctheses-ouc11258385
title: Unknown
DOI: 10.25549/usctheses-ouc11258040
title: Unknown
DOI: 10.25549/usctheses-ouc11258450
title: Unknown
DOI: 10.25549/usctheses-ouc11258048
title: Unknown
DOI: 10.25549/usctheses-ouc11256564
title: Unknown
DOI: 10.25549/usctheses-ouc11258144
title: Unknown
DOI: 10.25549/usctheses-ouc11258154
title: Unknown
DOI: 10.6084/m9.figshare.21437286
title: Zebra.xvmz

description: Lange, Merlin; Granados, Alejandro; Vijaykumar, Shruthi; Borja, Michael; Neff, Norma; Pisco, Angela; et al. (2022): Zebrahub single cell dataset. figshare. Dataset. https://doi.org/10.6084/m9.figshare.20510367.v1
DOI: 10.6084/m9.figshare.21437286.v1
title: Zebra.xvmz

description: Lange, Merlin; Granados, Alejandro; Vijaykumar, Shruthi; Borja, Michael; Neff, Norma; Pisco, Angela; et al. (2022): Zebrahub single cell dataset. figshare. Dataset. https://doi.org/10.6084/m9.figshare.20510367.v1
DOI: 10.25549/usctheses-ouc11258056
title: Unknown
DOI: 10.25549/usctheses-ouc11258076
title: Unknown
DOI: 10.25549/usctheses-ouc11258068
title: Unknown
DOI: 10.25549/usctheses-ouc11258071
title: Unknown
DOI: 10.25549/usctheses-ouc11258077
title: Unknown
DOI: 10.25549/usctheses-ouc11258172
title: Unknown
DOI: 10.25549/usctheses-ouc11258088
title: Unknown
DOI: 10.25549/usctheses-ouc11258085
title: Unknown
DOI: 10.25549/usctheses-ouc11258094
title: Unknown
DOI: 10.25549/usctheses-ouc11258099
title: Unknown
DOI: 10.25549/usctheses-ouc11258194
title: Unknown
DOI: 10.25549/usctheses-ouc11258195
title: Unknown
DOI: 10.25549/usctheses-ouc11258203
title: Unknown
DOI: 10.25549/usctheses-ouc11258201
title: Unknown
DOI: 10.25549/usctheses-ouc11258145
title: Unknown
DOI: 10.25549/usctheses-ouc11258174
title: Unknown
DOI: 10.25549/usctheses-ouc11258208
title: Unknown
DOI: 10.25549/usctheses-ouc11258222
title: Unknown
DOI: 10.25549/usctheses-ouc11258228
title: Unknown
DOI: 10.25549/usctheses-ouc11258232
title: Unknown
DOI: 10.25549/usctheses-ouc11258239
title: Unknown
DOI: 10.25549/usctheses-ouc11258244
title: Unknown
DOI: 10.25549/usctheses-ouc11258257
title: Unknown
DOI: 10.25549/usctheses-ouc11258265
title: Unknown
DOI: 10.25549/usctheses-ouc11258276
title: Unknown
DOI: 10.25549/usctheses-ouc11258271
title: Unknown
DOI: 10.25549/usctheses-ouc11258273
title: Unknown
DOI: 10.25549/usctheses-ouc11258283
title: Unknown
DOI: 10.25549/usctheses-ouc11258304
title: Unknown
DOI: 10.25549/usctheses-ouc11258307
title: Unknown
DOI: 10.25549/usctheses-ouc11260954
title: Unknown
DOI: 10.25549/usctheses-ouc11258326
title: Unknown
DOI: 10.25549/usctheses-ouc11258324
title: Unknown
DOI: 10.25549/usctheses-ouc11258325
title: Unknown
DOI: 10.25549/usctheses-ouc11258327
title: Unknown
DOI: 10.25549/usctheses-ouc11258329
title: Unknown
DOI: 10.25549/usctheses-ouc11258337
title: Unknown