cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7681840
title: Supplementary Data for 'The electron-proton bottleneck of photosynthetic oxygen evolution'

description: Supplementary data for the publication: 'The electron-proton bottleneck of photosynthetic oxygen evolution', Greife et al. Heat_Artefact_Spectrum.xlsx<br> Spectrum assigned to rapid heating by laser-flash excitation of high-activity Photosystem II membrane particles. This spectrum was used for heat artefact correction of the step-scan data set. The first column is the wavenumber in cm<sup>-1</sup>, the second column the absorption in arbitrary OD units. Log_Averaged_Interferograms.xlsx<br> Averaged time-resolved FTIR interferograms recorded before and after the application of a saturating excitation flash to high activity Photosystem II membrane particles from spinach. In total 10 sequential flashes were applied. The first column is the time in milliseconds. Remaining columns are the mirror positions of the phase-corrected interferograms with the centerburst shifted to the first position. Amplitude is in arbitrary units. Individual columns correspond to individual time courses at the respective mirror positions. Rows corresponds to interferograms at the respective time. The data for each of the 10 flashes is provided in a separate spreadsheet, which is accordingly labeled. The mirror positions were chosen such that after Fourier transformation the wavenumber range of the resulting spectra corresponds to 929.33 cm<sup>-1</sup> to 1858.67 cm<sup>-1 </sup>, with data points equally spaced on a wavenumber axis.
DOI: 10.6084/m9.figshare.22226095
title: 表S5

description: DEmiRNAs were detected in L24H vs L24I and L48H vs L48I
DOI: 10.6084/m9.figshare.22226095.v1
title: 表S5

description: DEmiRNAs were detected in L24H vs L24I and L48H vs L48I
DOI: 10.6084/m9.figshare.22225933
title: jgr230307

description: model result
DOI: 10.6084/m9.figshare.22225933.v1
title: jgr230307

description: model result
DOI: 10.6084/m9.figshare.22226098
title: 表S6

description: Enrichment results of KEGG pathway in L24H vs L24I and L48H vs L48I.
DOI: 10.6084/m9.figshare.22226098.v1
title: 表S6

description: Enrichment results of KEGG pathway in L24H vs L24I and L48H vs L48I.
DOI: 10.21227/rxw4-1r28
title: Taxi trajectories

description: Taxi trajectories in New York City
DOI: 10.5281/zenodo.7702609
title: Point defects in InGaN/GaN QWs CL dataset

description: Dataset of hyperspectral cathodoluminescence (CL) maps accompanying the following publication: T. F. K. Weatherley, W. Liu, V. Osokin, D. T. L. Alexander, R. A. Taylor, J.-F. Carlin, R. Butté, and N. Grandjean, “Imaging nonradiative point defects buried in quantum wells using cathodoluminescence”, Nano Letters 21, 5217-5224 (2021). Hyperspectral data is stored in the "hspy" HyperSpy HDF5 specification, and can be loaded and analysed using Python (see HyperSpy documentation). Each hspy file contains comprehensive measurement metadata accessible in the "original_metadata" attribute in Python. See the README file for more detail.
DOI: 10.5281/zenodo.7702608
title: Point defects in InGaN/GaN QWs CL dataset

description: Dataset of hyperspectral cathodoluminescence (CL) maps accompanying the following publication: T. F. K. Weatherley, W. Liu, V. Osokin, D. T. L. Alexander, R. A. Taylor, J.-F. Carlin, R. Butté, and N. Grandjean, “Imaging nonradiative point defects buried in quantum wells using cathodoluminescence”, Nano Letters 21, 5217-5224 (2021). Hyperspectral data is stored in the "hspy" HyperSpy HDF5 specification, and can be loaded and analysed using Python (see HyperSpy documentation). Each hspy file contains comprehensive measurement metadata accessible in the "original_metadata" attribute in Python. See the README file for more detail.
DOI: 10.20375/0000-000f-823b-c
title: DIF_12.2022-info.pdf
DOI: 10.20375/0000-000f-823c-b
title: DIF_12.2022_questionnaire-ENG.pdf
DOI: 10.20375/0000-000f-823d-a
title: DIF_12.2022_questionnaire-UKR.pdf
DOI: 10.20375/0000-000f-823e-9
title: DIF_12.2022.sav
DOI: 10.20375/0000-000f-823f-8
title: DIF_12.2022_selected-results_assessing-changes-in-2022.pdf
DOI: 10.20375/0000-000f-8240-5
title: DIF_12.2022_selected-results_corruption.pdf
DOI: 10.20375/0000-000f-8241-4
title: DIF_12.2022_selected-results_memory-policies.pdf
DOI: 10.20375/0000-000f-8242-3
title: DIF_12.2022.xlsx
DOI: 10.48320/e3da2156-776b-4ee0-a471-732ae972eb46
title: Omnibus Poll Ukraine (Ilko Kucheriv Democratic Initiatives Foundation)
DOI: 10.6084/m9.figshare.22226125
title: Data sentiment effects.xlsx

description: Data set consists of sentiment index; mutual fund alpha and Fama-French factors
DOI: 10.5258/soton/d1983
title: Dataset for the Southampton doctoral thesis "Identification of novel CD8+ T cell epitopes in the CT26 tumour model through a peptide filter relation algorithm"

description: Dataset containing Spreadsheets and Statistical analysis to support University of Southampton Doctoral Thesis "Identification of novel CD8+ T cell epitopes in the CT26 tumour model through a peptide filter relation algorithm".
DOI: 10.15468/ulhbmj
title: Harvard University Herbaria: Vascular Plants

description: This dataset contains all digitized vascular plant specimen records stewarded by the Harvard University Herbaria. The Harvard University Herbaria, with over 5 million specimens, is the world’s largest University Herbaria. Included in the Herbaria are what were once six separate herbarium collections: * Herbarium of the Arnold Arboretum (A) * Economic Herbarium of Oakes Ames (ECON) * Oakes Ames Orchid Herbarium (AMES) * Farlow Herbarium (FH) * Gray Herbarium (GH) * New England Botanical Club Herbarium (NEBC). DarwinCore data follows the AppleCore guidance https://code.google.com/p/applecore/.
DOI: 10.5281/zenodo.7704308
title: Supplementary tables

description: Supplementary tables <strong>Supplementary table S3. Movement rate test-retest outcomes</strong> <strong>Supplementary table S4. Relative EEG power test-retest outcomes</strong> <strong>Supplementary table S5. Normalized EEG power test-retest outcomes</strong> <strong>Supplementary table S6. EMG test-retest outcomes</strong> <strong>Supplementary table S7. Corticomuscular coherence test-retest outcomes</strong>
DOI: 10.5281/zenodo.7704307
title: Supplementary tables

description: Supplementary tables <strong>Supplementary table S3. Movement rate test-retest outcomes</strong> <strong>Supplementary table S4. Relative EEG power test-retest outcomes</strong> <strong>Supplementary table S5. Normalized EEG power test-retest outcomes</strong> <strong>Supplementary table S6. EMG test-retest outcomes</strong> <strong>Supplementary table S7. Corticomuscular coherence test-retest outcomes</strong>
DOI: 10.15468/qwtyiq
title: Harvard University Herbaria: Vascular Plants of North America

description: This dataset contains all digitized vascular specimen records from North America stewarded by the Harvard University Herbaria. The Harvard University Herbaria, with over 5 million specimens, is the world’s largest University Herbaria. Included in the Herbaria are what were once six separate herbarium collections: * Herbarium of the Arnold Arboretum (A) * Economic Herbarium of Oakes Ames (ECON) * Oakes Ames Orchid Herbarium (AMES) * Farlow Herbarium (FH) * Gray Herbarium (GH) * New England Botanical Club Herbarium (NEBC). DarwinCore data follows the AppleCore guidance https://code.google.com/p/applecore/.
DOI: 10.15468/cup0nk
title: Harvard University Herbaria: All Records

description: This dataset contains all digitized specimen records stewarded by the Harvard University Herbaria. The Harvard University Herbaria, with over 5 million specimens, is the world’s largest University Herbaria. Included in the Herbaria are what were once six separate herbarium collections: * Herbarium of the Arnold Arboretum (A) * Economic Herbarium of Oakes Ames (ECON) * Oakes Ames Orchid Herbarium (AMES) * Farlow Herbarium (FH) * Gray Herbarium (GH) * New England Botanical Club Herbarium (NEBC). DarwinCore data follows the AppleCore guidance https://code.google.com/p/applecore/.
DOI: 10.15472/lup6es
title: Colección Herbario Federico Medem Bogotá - FMB

description: Ejemplares del herbario Federico Medem Bogotá - FMB, del Instituto Alexander von Humboldt
DOI: 10.25403/upresearchdata.22220008
title: The performance of surrogate models, data assimilation and hybrid models when applied to the water-cooled freeboard of a process converter.

description: This dataset contains the figures and tables underpinning a dissertation on incorporating sensor measurements using data assimilation and machine learning to improve the accuracy of thermal finite element methods, as well as the data that these figures and tables portray. The filenames of the figures and tables correspond to the numbering applied to them in the dissertation. The data portrayed by these figures and tables are provided by means of the following *.mat files:surrogate_cs1.mat contains the performance of different types of surrogate models of a simplified model of a process converter freeboard, on which Tables 8 and 9 are based. data_assimilation_cs1.mat contains the performance of different data assimilation algorithms applied to a simplified model of a process converter freeboard, on which Figures 14-17 and 41-60 are based. hybrid_cs1.mat contains the performance of hybrid models of a simplified model of a process converter freeboard, on which Figures 19, 20 and 21-23, as well as Table 13 are based. surrogate_cs2.mat contains the performance of different types of surrogate model of a half model of a process converter freeboard, on which Table 15 is based. data_assimilation_simulated_cs2.mat contains the performance of different data assimilation algorithms applied using simulated measurements of a process converter freeboard, on which Figures 27-29 and Table 17 are based. hybrid_simulated_cs2.mat contains the performance of hybrid models trained using simulated measurements of a process converter freeboard, on which Figures 30-33 and Table 18 are based. data_assimilation_real_cs2.mat contains the performance of different data assimilation parameters for an application using real measurements of a process converter freeboard, on which Figure 35 is based. hybrid_real_cs2.mat contains the performance of hybrid models trained using real measurements of a process converter freeboard, on which Figures 37-40 and Table 20 are based. Each *.mat file (a Matlab file format which can be used within other software environments like Octave and Python ) contains a variable called ‘description’ that provides a short description of each of the other variables contained in the file.
DOI: 10.25403/upresearchdata.22220008.v1
title: The performance of surrogate models, data assimilation and hybrid models when applied to the water-cooled freeboard of a process converter.

description: This dataset contains the figures and tables underpinning a dissertation on incorporating sensor measurements using data assimilation and machine learning to improve the accuracy of thermal finite element methods, as well as the data that these figures and tables portray. The filenames of the figures and tables correspond to the numbering applied to them in the dissertation. The data portrayed by these figures and tables are provided by means of the following *.mat files:surrogate_cs1.mat contains the performance of different types of surrogate models of a simplified model of a process converter freeboard, on which Tables 8 and 9 are based. data_assimilation_cs1.mat contains the performance of different data assimilation algorithms applied to a simplified model of a process converter freeboard, on which Figures 14-17 and 41-60 are based. hybrid_cs1.mat contains the performance of hybrid models of a simplified model of a process converter freeboard, on which Figures 19, 20 and 21-23, as well as Table 13 are based. surrogate_cs2.mat contains the performance of different types of surrogate model of a half model of a process converter freeboard, on which Table 15 is based. data_assimilation_simulated_cs2.mat contains the performance of different data assimilation algorithms applied using simulated measurements of a process converter freeboard, on which Figures 27-29 and Table 17 are based. hybrid_simulated_cs2.mat contains the performance of hybrid models trained using simulated measurements of a process converter freeboard, on which Figures 30-33 and Table 18 are based. data_assimilation_real_cs2.mat contains the performance of different data assimilation parameters for an application using real measurements of a process converter freeboard, on which Figure 35 is based. hybrid_real_cs2.mat contains the performance of hybrid models trained using real measurements of a process converter freeboard, on which Figures 37-40 and Table 20 are based. Each *.mat file (a Matlab file format which can be used within other software environments like Octave and Python ) contains a variable called ‘description’ that provides a short description of each of the other variables contained in the file.
DOI: 10.57745/80ep4i
title: L2.h5
DOI: 10.57745/gpsxgx
title: L1.h5
DOI: 10.57745/u8ba4i
title: L3.h5
DOI: 10.57745/07nj9p
title: L4.h5
DOI: 10.57745/k6yolf
title: L5.h5
DOI: 10.57745/hdgtkn
title: L6.h5
DOI: 10.57745/tfvjsy
title: L7.h5
DOI: 10.57745/qhuri2
title: L8.h5
DOI: 10.57745/jqa7tp
title: L9.h5
DOI: 10.57745/qeebxo
title: L10.h5
DOI: 10.57745/v51fcf
title: L1_L2.h5
DOI: 10.57745/xkc2qr
title: L1_L3.h5
DOI: 10.57745/sysvh9
title: L1_L5.h5
DOI: 10.57745/20kdm8
title: L1_L6.h5
DOI: 10.57745/e5hjzy
title: L1_L7.h5
DOI: 10.57745/brcwvw
title: L1_L8.h5
DOI: 10.57745/0259bc
title: L1_L9.h5
DOI: 10.57745/ew3bl1
title: L1_L10.h5
DOI: 10.57745/keskyi
title: L1_L4.h5
DOI: 10.57745/5xvtwk
title: L2_L3.h5
DOI: 10.57745/tkskij
title: L2_L4.h5
DOI: 10.57745/ffksfj
title: L2_L5.h5
DOI: 10.57745/yiyrce
title: L2_L6.h5
DOI: 10.57745/nulnzq
title: L2_L7.h5
DOI: 10.57745/uy8znm
title: L2_L8.h5
DOI: 10.57745/5o8gpf
title: L2_L9.h5
DOI: 10.57745/y5kdkw
title: L2_L10.h5
DOI: 10.57745/gmz7xc
title: L3_L5.h5
DOI: 10.57745/tni1de
title: L3_L4.h5
DOI: 10.57745/yc1u7s
title: L3_L6.h5
DOI: 10.57745/chpofy
title: L3_L7.h5
DOI: 10.57745/dvzguy
title: L3_L8.h5
DOI: 10.57745/otpdpd
title: L3_L10.h5
DOI: 10.57745/tqbjl9
title: L3_L9.h5
DOI: 10.57745/6xugfn
title: L4_L5.h5
DOI: 10.57745/4uapyr
title: L4_L6.h5
DOI: 10.57745/hkgzjf
title: L4_L7.h5
DOI: 10.57745/onzgrx
title: L4_L8.h5
DOI: 10.57745/iq7bry
title: L4_L9.h5
DOI: 10.57745/ddy9ah
title: L4_L10.h5
DOI: 10.57745/repso1
title: L5_L6.h5
DOI: 10.57745/abve3d
title: L5_L7.h5
DOI: 10.57745/zgecmx
title: L5_L8.h5
DOI: 10.57745/4rl2mo
title: L5_L9.h5
DOI: 10.57745/r7gmmt
title: L5_L10.h5
DOI: 10.57745/pdsuto
title: L6_L10.h5
DOI: 10.57745/6a21jh
title: L6_L7.h5
DOI: 10.57745/mlrdi8
title: L6_L8.h5
DOI: 10.57745/yzrtak
title: L6_L9.h5
DOI: 10.57745/vzcfbh
title: L7_L10.h5
DOI: 10.57745/ztmpcd
title: L7_L8.h5
DOI: 10.57745/ywemx6
title: L7_L9.h5
DOI: 10.57745/fb10d1
title: L8_L10.h5
DOI: 10.57745/iuppor
title: L8_L9.h5
DOI: 10.57745/mbuggn
title: L9_L10.h5
DOI: 10.6084/m9.figshare.21953990.v1
title: Supplementary Material for: Safety and efficacy of laparoscopic surgery versus open surgery in elderly patients with colon cancer: a propensity score matching cohort study

description: Introduction: The safety of laparoscopic surgery (LS) and its effect on survival have not been sufficiently assessed in elderly colon cancer patients. Methods: Clinicopathologic data of patients aged ≥ 75 years who underwent colectomies for primary colon cancer, between January 2018 and June 2021, were reviewed. Patients were divided into LS and open surgery (OS) groups according to the intention-to-treat principle, and were compared using propensity score matching. The primary outcomes were differences in surgical safety and 3-year survival rates. Results: There were 98 patients with a median age of 82 years and 85 patients with a median age of 80 years, assigned to the OS and LS groups, respectively. Propensity score matching revealed that LS did not prolong the operation time (190 versus 180 min, P = 0.209), was linked to less intraoperative blood loss (50 versus 100 mL, P = 0.039) and shorter postoperative hospital stays (8 versus 10 days, P = 0.005), compared to OS. In addition, LS was not accompanied by more stress responses when the variations exhibited in laboratory tests and the Barthel index pre- and post- surgery were considered. There were no significant differences in the adjusted 3-year overall survival (86.0% versus 81.2%, P = 0.795) and disease-free survival (86.6% versus 87.9%, P = 0.356) rates between the groups. Conclusion: LS enhanced post-operative recovery without increasing surgical risks, compared to OS, in colon cancer patients aged ≥ 75 years. Furthermore, no significant differences in the 3-year adjusted survival rates were observed between the groups.
DOI: 10.6084/m9.figshare.21953990
title: Supplementary Material for: Safety and efficacy of laparoscopic surgery versus open surgery in elderly patients with colon cancer: a propensity score matching cohort study

description: Introduction: The safety of laparoscopic surgery (LS) and its effect on survival have not been sufficiently assessed in elderly colon cancer patients. Methods: Clinicopathologic data of patients aged ≥ 75 years who underwent colectomies for primary colon cancer, between January 2018 and June 2021, were reviewed. Patients were divided into LS and open surgery (OS) groups according to the intention-to-treat principle, and were compared using propensity score matching. The primary outcomes were differences in surgical safety and 3-year survival rates. Results: There were 98 patients with a median age of 82 years and 85 patients with a median age of 80 years, assigned to the OS and LS groups, respectively. Propensity score matching revealed that LS did not prolong the operation time (190 versus 180 min, P = 0.209), was linked to less intraoperative blood loss (50 versus 100 mL, P = 0.039) and shorter postoperative hospital stays (8 versus 10 days, P = 0.005), compared to OS. In addition, LS was not accompanied by more stress responses when the variations exhibited in laboratory tests and the Barthel index pre- and post- surgery were considered. There were no significant differences in the adjusted 3-year overall survival (86.0% versus 81.2%, P = 0.795) and disease-free survival (86.6% versus 87.9%, P = 0.356) rates between the groups. Conclusion: LS enhanced post-operative recovery without increasing surgical risks, compared to OS, in colon cancer patients aged ≥ 75 years. Furthermore, no significant differences in the 3-year adjusted survival rates were observed between the groups.
DOI: 10.6084/m9.figshare.22226284
title: Supplementary Material for: Triglycerides and Renal Outcomes according to Albuminuria and in Consideration of other Metabolic Syndrome Components in Diabetic US Veterans

description: Objective: Hypertriglyceridemia, a component of the metabolic syndrome, is a known independent predictor of albuminuria and chronic kidney disease (CKD) in the general population. Previous studies have shown that the relationship of triglycerides with outcomes changes across stages of CKD. Our objective is to examine the association of triglycerides independent of other metabolic syndrome components with renal outcomes in diabetic patients with or without CKD. Research Design and Methods: This retrospective cohort study included diabetic US veteran patients with valid data on triglycerides (TG), estimated glomerular filtration rate (eGFR) and albuminuria (UACR), between fiscal years 2004 to 2006. Using Cox models adjusted for clinical characteristics and laboratory markers, we evaluated the relationship of TG with incident albuminuria (stratified by eGFR category) and based on eGFR (stratified by baseline albuminuria categories). To evaluate the relationship of TG with time to end-stage renal disease (ESRD), we stratified models by baseline CKD stage (eGFR category) and baseline albuminuria stage ascertained at time of TG measurement. Results: In a cohort of 138,675 diabetic veterans, the mean±SD age was 65±11 years old, and included 3% females and 14% African Americans. The cohort also included 28% of patients with non-dialysis dependent CKD (eGFR&lt;60 mL/min/173m2), as well as 28% of patients with albuminuria (≥30 mg/g). The median[IQR] of serum TG was 148[100, 222] mg/dL. We observed a slight positive linear association between TG and incident CKD after adjustment for case-mix and laboratory variables among non-albuminuric and microalbuminuric patients. High TG levels were associated with ESRD in CKD 3A non-albuminuric patients and in CKD 3A and 4/5 in patients with microalbuminuria. Conclusions: In a large cohort, we have shown that elevated TG are associated with all kidney outcomes tested independently of other metabolic syndrome components in diabetic patients with normal eGFR and normal albumin excretion rate, but the association is weaker in some groups of diabetic patients with pre-existing renal complications.
DOI: 10.6084/m9.figshare.22226284.v1
title: Supplementary Material for: Triglycerides and Renal Outcomes according to Albuminuria and in Consideration of other Metabolic Syndrome Components in Diabetic US Veterans

description: Objective: Hypertriglyceridemia, a component of the metabolic syndrome, is a known independent predictor of albuminuria and chronic kidney disease (CKD) in the general population. Previous studies have shown that the relationship of triglycerides with outcomes changes across stages of CKD. Our objective is to examine the association of triglycerides independent of other metabolic syndrome components with renal outcomes in diabetic patients with or without CKD. Research Design and Methods: This retrospective cohort study included diabetic US veteran patients with valid data on triglycerides (TG), estimated glomerular filtration rate (eGFR) and albuminuria (UACR), between fiscal years 2004 to 2006. Using Cox models adjusted for clinical characteristics and laboratory markers, we evaluated the relationship of TG with incident albuminuria (stratified by eGFR category) and based on eGFR (stratified by baseline albuminuria categories). To evaluate the relationship of TG with time to end-stage renal disease (ESRD), we stratified models by baseline CKD stage (eGFR category) and baseline albuminuria stage ascertained at time of TG measurement. Results: In a cohort of 138,675 diabetic veterans, the mean±SD age was 65±11 years old, and included 3% females and 14% African Americans. The cohort also included 28% of patients with non-dialysis dependent CKD (eGFR&lt;60 mL/min/173m2), as well as 28% of patients with albuminuria (≥30 mg/g). The median[IQR] of serum TG was 148[100, 222] mg/dL. We observed a slight positive linear association between TG and incident CKD after adjustment for case-mix and laboratory variables among non-albuminuric and microalbuminuric patients. High TG levels were associated with ESRD in CKD 3A non-albuminuric patients and in CKD 3A and 4/5 in patients with microalbuminuria. Conclusions: In a large cohort, we have shown that elevated TG are associated with all kidney outcomes tested independently of other metabolic syndrome components in diabetic patients with normal eGFR and normal albumin excretion rate, but the association is weaker in some groups of diabetic patients with pre-existing renal complications.