cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/60yx-cs97
title: LDDsite2352 water chemistry dataset

description: Raw data for the LDDsite2352 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.17151272
title: assemble

description: Assembly process and result
DOI: 10.6084/m9.figshare.17151272.v1
title: assemble

description: Assembly process and result
DOI: 10.6084/m9.figshare.17151461
title: Supplementary Material for: Course of Stress during the Neonatal Intensive Care Unit Stay in Preterm Infants

description: <b><i>Introduction:</i></b> Understanding the course of stress during the neonatal intensive care unit stay may provide targets for interventions. Our aim was to describe the course of stress in preterm infants during the first 28 days of life, the influence of gestational age, and associations with clinical characteristics. <b><i>Methods:</i></b> In a single centre prospective cohort study, we included infants with a gestational age &lt;30 weeks and/or birth weight &lt;1,000 g. We measured stress over the first 28 days using the Neonatal Infant Stressor Scale (NISS). We plotted daily NISS total and subcategory scores by gestational age. The subcategories were (1) nursing, (2) skin-breaking, (3) monitoring and imaging, and (4) medical morbidity-related scores. We assessed associations of cumulative NISS scores over the first 7, 14, and 28 days with clinical characteristics using regression analyses. <b><i>Results:</i></b> We included 45 infants, with a median gestational age of 27 weeks. The mean daily NISS score was 66.5 (SD 8.7), with highest scores in the first 7 days of life. Scores decreased the slowest for the lowest gestational ages, in particular for nursing scores, rather than skin-breaking, monitoring and imaging, and medical morbidity-related scores. Adjusted for gestational age, infants with lower Apgar scores, sepsis, intraventricular haemorrhages, and on mechanical ventilation had significantly higher cumulative NISS scores at 7, 14, and 28 days. <b><i>Conclusion:</i></b> NISS scores varied greatly within infants and over time, with the highest mean scores in the first week after birth. The course of declining NISS scores in the first 28 days depended on gestational age at birth.
DOI: 10.25402/cer.17151446
title: Supplementary materials: Cost-effectiveness of brentuximab vedotin for the treatment of cutaneous T-cell lymphoma.docx

description: Table A1. Clinical Inputs. Table A2. Cost Inputs. Table A3: Resource utilization. Table A4. Utility inputs. Figure A1. Probabilistic sensitivity analysis scatterplot.
DOI: 10.25402/cer.17151446.v1
title: Supplementary materials: Cost-effectiveness of brentuximab vedotin for the treatment of cutaneous T-cell lymphoma.docx

description: Table A1. Clinical Inputs. Table A2. Cost Inputs. Table A3: Resource utilization. Table A4. Utility inputs. Figure A1. Probabilistic sensitivity analysis scatterplot.
DOI: 10.6084/m9.figshare.17081807
title: Dynamic cognitive characteristics of emotional conflict in subthreshold depressed patients: An Event-Related Potential Study.xlsx

description: <b>在阈下情绪冲突的动态认知特点抑郁症患者</b><b>：一</b><b>ñ </b><b>é</b><b>排气- </b><b>[R</b><b>兴高采烈</b><b>P</b><b> otential</b><b>小号</b><b>tudy</b><b> </b><b></b><b></b><b></b>
DOI: 10.6084/m9.figshare.17151674
title: Supplementary Material for: Prevalence and Outcomes Associated with Hyperuricemia in Hospitalized Patients with COVID-19

description: <b><i>Introduction:</i></b> Coronavirus 2019 (COVID-19) can increase catabolism and result in hyperuricemia. Uric acid (UA) potentially causes kidney damage by alteration of renal autoregulation, inhibition of endothelial cell proliferation, cell apoptosis, activation of the pro-inflammatory cascade, and crystal deposition. Hyperuricemia in patients with COVID-19 may contribute to acute kidney injury (AKI) and poor outcomes. <b><i>Methods:</i></b> We included 834 patients with COVID-19 who were &gt;18 years old and hospitalized for &gt;24 h in the Mount Sinai Health System and had at least 1 measurement of serum UA. We examined the association between the first serum UA level and development of acute kidney injury (AKI, defined by KDIGO criteria), major adverse kidney events (MAKE, defined by a composite of all-cause in-hospital mortality or dialysis or 100% increase in serum creatinine from baseline), as well as markers of inflammation and cardiac injury. <b><i>Results:</i></b> Among the 834 patients, the median age was 66 years, 42% were women, and the median first serum UA was 5.9 mg/dL (interquartile range 4.5–8.8). Overall, 60% experienced AKI, 52% experienced MAKE, and 32% died during hospitalization. After adjusting for demographics, comorbidities, and laboratory values, a doubling in serum UA was associated with increased AKI (odds ratio [OR] 2.8, 95% confidence interval [CI] 1.9–4.1), MAKE (OR 2.5, 95% CI 1.7–3.5), and in-hospital mortality (OR 1.7, 95% CI 1.3–2.3). Higher serum UA levels were independently associated with a higher level of procalcitonin (β, 0.6; SE 0.2) and troponin I (β, 1.2; SE 0.2) but were not associated with serum ferritin, C-reactive protein, and interleukin-6. <b><i>Conclusion:</i></b> In patients admitted to the hospital for COVID-19, higher serum UA levels were independently associated with AKI, MAKE, and in-hospital mortality in a dose-dependent manner. In addition, hyperuricemia was associated with higher procalcitonin and troponin I levels.
DOI: 10.6084/m9.figshare.17151661
title: Supporting Data from Reduced older male presence linked to increased rates of aggression to non-conspecific targets in male elephants

description: The data set supporting the findings of the Manuscript
DOI: 10.6084/m9.figshare.17081807.v2
title: Dynamic cognitive characteristics of emotional conflict in subthreshold depressed patients: An Event-Related Potential Study.xlsx

description: <b>在阈下情绪冲突的动态认知特点抑郁症患者</b><b>：一</b><b>ñ </b><b>é</b><b>排气- </b><b>[R</b><b>兴高采烈</b><b>P</b><b> otential</b><b>小号</b><b>tudy</b><b> </b><b></b><b></b><b></b>
DOI: 10.6084/m9.figshare.17151661.v1
title: Supporting Data from Reduced older male presence linked to increased rates of aggression to non-conspecific targets in male elephants

description: The data set supporting the findings of the Manuscript
DOI: 10.6084/m9.figshare.17151674.v1
title: Supplementary Material for: Prevalence and Outcomes Associated with Hyperuricemia in Hospitalized Patients with COVID-19

description: <b><i>Introduction:</i></b> Coronavirus 2019 (COVID-19) can increase catabolism and result in hyperuricemia. Uric acid (UA) potentially causes kidney damage by alteration of renal autoregulation, inhibition of endothelial cell proliferation, cell apoptosis, activation of the pro-inflammatory cascade, and crystal deposition. Hyperuricemia in patients with COVID-19 may contribute to acute kidney injury (AKI) and poor outcomes. <b><i>Methods:</i></b> We included 834 patients with COVID-19 who were &gt;18 years old and hospitalized for &gt;24 h in the Mount Sinai Health System and had at least 1 measurement of serum UA. We examined the association between the first serum UA level and development of acute kidney injury (AKI, defined by KDIGO criteria), major adverse kidney events (MAKE, defined by a composite of all-cause in-hospital mortality or dialysis or 100% increase in serum creatinine from baseline), as well as markers of inflammation and cardiac injury. <b><i>Results:</i></b> Among the 834 patients, the median age was 66 years, 42% were women, and the median first serum UA was 5.9 mg/dL (interquartile range 4.5–8.8). Overall, 60% experienced AKI, 52% experienced MAKE, and 32% died during hospitalization. After adjusting for demographics, comorbidities, and laboratory values, a doubling in serum UA was associated with increased AKI (odds ratio [OR] 2.8, 95% confidence interval [CI] 1.9–4.1), MAKE (OR 2.5, 95% CI 1.7–3.5), and in-hospital mortality (OR 1.7, 95% CI 1.3–2.3). Higher serum UA levels were independently associated with a higher level of procalcitonin (β, 0.6; SE 0.2) and troponin I (β, 1.2; SE 0.2) but were not associated with serum ferritin, C-reactive protein, and interleukin-6. <b><i>Conclusion:</i></b> In patients admitted to the hospital for COVID-19, higher serum UA levels were independently associated with AKI, MAKE, and in-hospital mortality in a dose-dependent manner. In addition, hyperuricemia was associated with higher procalcitonin and troponin I levels.
DOI: 10.5281/zenodo.5769794
title: Source data for "Non-Telecentric two-photon microscopy for 3D random access mesoscale 2 imaging"

description: Source data used in a manuscript "Non-Telecentric two-photon microscopy for 3D random access mesoscale 2 imaging"
DOI: 10.6084/m9.figshare.17081807.v1
title: Dynamic cognitive characteristics of emotional conflict in subthreshold depressed patients: An Event-Related Potential Study.xlsx

description: <b>在阈下情绪冲突的动态认知特点抑郁症患者</b><b>：一</b><b>ñ </b><b>é</b><b>排气- </b><b>[R</b><b>兴高采烈</b><b>P</b><b> otential</b><b>小号</b><b>tudy</b><b> </b><b></b><b></b><b></b>
DOI: 10.6084/m9.figshare.17151632
title: Adaptation pattern of antioxidant gene expression in healthy young adults after six months of training – a pilot study

description: Dataset of the manuscript.
DOI: 10.5281/zenodo.5769793
title: Source data for "Non-Telecentric two-photon microscopy for 3D random access mesoscale 2 imaging"

description: Source data used in a manuscript "Non-Telecentric two-photon microscopy for 3D random access mesoscale 2 imaging"
DOI: 10.6084/m9.figshare.17151632.v1
title: Adaptation pattern of antioxidant gene expression in healthy young adults after six months of training – a pilot study

description: Dataset of the manuscript.
DOI: 10.21233/aypb-bv21
title: Pointe des Morts testate amoebae surface sample dataset

description: Raw data for the Pointe des Morts testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/z4h5-nv66
title: Pointe des Morts testate amoebae surface sample dataset

description: Raw data for the Pointe des Morts testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/7rz2-xn54
title: Roma testate amoebae surface sample dataset

description: Raw data for the Roma testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/jfp0-hq05
title: LDDsite168 ostracode surface sample dataset

description: Raw data for the LDDsite168 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/p454-kc54
title: LDDsite3027 water chemistry dataset

description: Raw data for the LDDsite3027 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/r8y4-cy22
title: Vermillion River ostracode surface sample dataset

description: Raw data for the Vermillion River ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/exzs-p119
title: LDDsite3035 water chemistry dataset

description: Raw data for the LDDsite3035 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/0nzw-q179
title: LDDsite191 water chemistry dataset

description: Raw data for the LDDsite191 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/b00f-9t90
title: LDDsite197 water chemistry dataset

description: Raw data for the LDDsite197 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/n5q3-2p50
title: McKillop Creek water chemistry dataset

description: Raw data for the McKillop Creek water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/s0rj-9p26
title: McKillop Creek ostracode surface sample dataset

description: Raw data for the McKillop Creek ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ybpa-9a15
title: Okanagan Lake ostracode surface sample dataset

description: Raw data for the Okanagan Lake ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/0aee-3b25
title: LDDsite3039 water chemistry dataset

description: Raw data for the LDDsite3039 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/vhy2-h879
title: LDDsite1721 ostracode surface sample dataset

description: Raw data for the LDDsite1721 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/kcn1-jd74
title: LDDsite1737 ostracode surface sample dataset

description: Raw data for the LDDsite1737 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/js40-0v85
title: LDDsite1744 ostracode surface sample dataset

description: Raw data for the LDDsite1744 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/7k3k-j586
title: LDDsite231 ostracode surface sample dataset

description: Raw data for the LDDsite231 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25405/data.ncl.17041931
title: Data sets for "Key reaction components affect the kinetics and performance robustness of cell-free protein synthesis reactions" by Banks et al Computational and Structural Biotechnology Journal

description: Data related to:<br><br>Key reaction components affect the kinetics and performance robustness of cell-free protein synthesis reactions<br>Banks, AM, Whitfield, CJ, Brown, SR, Fulton, DA, Goodchild, SA, Grant, C, Love, J, Lendrem, DW, Fieldsend, JE and Howard, TP<br><br>The research details a multifactorial experimental and statistical modelling approach to understand and optimise the process and reaction buffers needed for reliable cell free protein synthesis.<br><br>The data sets deposited here covers all Figures and SI Figures associated with this publication.
DOI: 10.25405/data.ncl.17041931.v1
title: Data sets for "Key reaction components affect the kinetics and performance robustness of cell-free protein synthesis reactions" by Banks et al Computational and Structural Biotechnology Journal

description: Data related to:<br><br>Key reaction components affect the kinetics and performance robustness of cell-free protein synthesis reactions<br>Banks, AM, Whitfield, CJ, Brown, SR, Fulton, DA, Goodchild, SA, Grant, C, Love, J, Lendrem, DW, Fieldsend, JE and Howard, TP<br><br>The research details a multifactorial experimental and statistical modelling approach to understand and optimise the process and reaction buffers needed for reliable cell free protein synthesis.<br><br>The data sets deposited here covers all Figures and SI Figures associated with this publication.
DOI: 10.21233/s80m-n474
title: LDDsite223 ostracode surface sample dataset

description: Raw data for the LDDsite223 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21335/nmdc-1417601993
title: North Sea Skagerrak Northern Shrimp Bottom Trawl Index

description: This is a parent site of all data sets for North Sea Skagerrak Northern Shrimp Bottom Trawl Index over several years. It contains the latest data set and links to previous versions. The survey indices by carapace length group (mm) for bottom trawl for northern shrimp from the Shrimp survey in the Norwegian Deep and Skagerrak are calculated. Updated data series are provided in annual survey reports (e.g. Søvik et al. 2019). The survey data consist of: 1) a time series from 1984-2002 (October/November) using R/V Michael Sars; 2) a point estimate for 2003 (October) with R/V Håkon Mosby; 3) a time series from 2004-2005 (May/June) with R/V Håkon Mosby; and 4) a time series from 2006 until present (January/February), using R/V Håkon Mosby (2006-2016) and R/V Kristine Bonnevie (from 2017). The survey gear used is the Campelen trawl except on the 2003 survey when the Shrimp trawl 1420 was used, as winches on Håkon Mosby at that time were not powerful enough for the Campelen-trawl. There is therefore no StoX-estimate from 2003. The Campelen trawl is rigged with extra floats (“North Sea rigging”) to prevent mud hauls on soft bottom, as well as a small meshed inner net. This rigging is now standardized, but in former years the number of floats may have varied. The inner net was not used on the surveys in 2012-2014. In 2016, there were technical problems with the survey trawl (unequal wire lengths of the trawl gear). The StoX-estimate from 2016 is probably an underestimate and should not be used. The survey area is divided into nine strata and has a fixed station design. In 2006, it was decided that the 100 stations trawled during the 2000 survey should be considered fixed stations for future surveys. The station list has since been slightly changed (described in Søvik et al. 2019), resulting in a list of 111 fixed stations. Due to time restrictions, mainly due to bad weather, the survey area was not fully covered in some years and the number of stations trawled have varied between 61 and 111. For the first time series, this pertains to 1984, 1986, and 2002. For the most recent time series, this happened in 2006, 2007, 2008, 2012, 2014, and 2015. It is mainly parts of the Norwegian Deep west of Lindesnes that has not been covered, except in 1984 when two strata in Skagerrak were not covered. The StoX-estimates have not been corrected for this lack of coverage.
DOI: 10.21233/bphe-yd58
title: Summit Lake water chemistry dataset

description: Raw data for the Summit Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/azza-wf25
title: West Lake water chemistry dataset

description: Raw data for the West Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/52bk-wv77
title: Hay Bay water chemistry dataset

description: Raw data for the Hay Bay water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/msds-3982
title: LDDsite5509 water chemistry dataset

description: Raw data for the LDDsite5509 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/fmve-zr44
title: LDDsite233 ostracode surface sample dataset

description: Raw data for the LDDsite233 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/wf6q-0b53
title: LDDsite235 water chemistry dataset

description: Raw data for the LDDsite235 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ha0t-6k25
title: LDDsite1755 water chemistry dataset

description: Raw data for the LDDsite1755 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/kjnm-vr65
title: Lake George ostracode surface sample dataset

description: Raw data for the Lake George ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/bhyf-m620
title: Sifton testate amoebae surface sample dataset

description: Raw data for the Sifton testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/y7m9-t964
title: Sifton testate amoebae surface sample dataset

description: Raw data for the Sifton testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/hv4a-d651
title: LDDsite1765 ostracode surface sample dataset

description: Raw data for the LDDsite1765 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/fspf-9n91
title: LDDsite264 water chemistry dataset

description: Raw data for the LDDsite264 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8k8c-rp93
title: LDDsite5827 ostracode surface sample dataset

description: Raw data for the LDDsite5827 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/pg4b-c813
title: LDDsite1766 ostracode surface sample dataset

description: Raw data for the LDDsite1766 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/0vqa-2m49
title: Crooked River water chemistry dataset

description: Raw data for the Crooked River water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/w3x6-5s57
title: Summit Muskeg Preserve testate amoebae surface sample dataset

description: Raw data for the Summit Muskeg Preserve testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/d3v0-jv62
title: LDDsite5897 water chemistry dataset

description: Raw data for the LDDsite5897 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/m6xm-hs27
title: LDDsite278 water chemistry dataset

description: Raw data for the LDDsite278 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/43rf-5588
title: LDDsite3070 ostracode surface sample dataset

description: Raw data for the LDDsite3070 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/h8fm-cm03
title: Salt Lake ostracode surface sample dataset

description: Raw data for the Salt Lake ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25934/pr00005271.0
title: Available IPD datapackage for study 'A Phase III, Randomised, Double-blind, Parallel Group, 24-week Study to Evaluate Efficacy and Safety of Once Daily Empagliflozin 10 mg and Linagliptin 5 mg Fixed Dose Combination Compared With Empagliflozin 10 mg Plus Placebo and a 52-week Study to Evaluate Efficacy and Safety of Once Daily Empagliflozin 25 mg and Linagliptin 5 mg Fixed Dose Combination Compared With Empagliflozin 25 mg Plus Placebo in Patients With Type 2 Diabetes Mellitus and Insufficient Glycaemic Control After 16-week Treatment With Empagliflozin (10 mg or 25 mg) Alone Once Daily.'

description: Two independent study parts (i.e. Part A and Part B) are included in this trial. Part A will evaluate empagliflozin 10 mg + linagliptin and Part B will evaluate empagliflozin 25 mg + linagliptin. All analyses will be carried out separately for these study parts. The objective of Part A is to investigate the efficacy, safety and tolerability of the fixed dose combination (FDC) of empagliflozin 10 mg / linagliptin 5 mg compared with empagliflozin 10 mg plus FDC matching placebo administered orally once daily for 24 weeks in Japanese patients with T2DM (Type 2 Diabetes Mellitus) who have insufficient glycaemic control after 16 weeks of treatment with empagliflozin 10 mg alone once daily. The study is designed to show superiority of the FDC of empagliflozin 10 mg / linagliptin 5 mg over empagliflozin 10 mg plus FDC matching placebo after 24 weeks of treatment. The objective of Part B is to investigate the efficacy, safety and tolerability of the FDC of empagliflozin 25 mg / linagliptin 5 mg compared with empagliflozin 25 mg plus FDC matching placebo administered orally once daily for 24 weeks in Japanese patients with T2DM who have insufficient glycaemic control after 16 weeks of treatment with empagliflozin 25 mg alone once daily. The study is designed to show superiority of the FDC of empagliflozin 25 mg / linagliptin 5 mg over empagliflozin 25 mg plus FDC matching placebo after 24 weeks of treatment. The 24 week treatment period will be followed by a 28 week extension treatment period to evaluate further efficacy and safety up to 52 weeks.
DOI: 10.21233/aqpt-6218
title: LDDsite304 water chemistry dataset

description: Raw data for the LDDsite304 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/4m2d-k693
title: LDDsite312 water chemistry dataset

description: Raw data for the LDDsite312 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/htap-md84
title: Belding Peccary vertebrate fauna dataset

description: Raw data for the Belding Peccary vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/dxww-a714
title: Flyingshot Lake water chemistry dataset

description: Raw data for the Flyingshot Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.