cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22783478.v1
title: Original data of the manuscript

description: Sixty patients (unilateral eye disease) with post-vitrectomy cataract were randomized into observation group (n = 30; oral modified TCM seed prescription based on RZYYF) and control group (n = 30; Kary Uni Eye Drops). After 4-month treatment, the ocular condition, the levels of inflammatory factors in the tears, the total incidence of complications and the quality of life (QOL) scores were compared. After treatment, the observation group was significantly superior to the control group in the vision, visual field and visual acuity (<em>P</em> &lt; 0.05). And the levels of inflammatory factors in the observation group were markedly lower than the control group (<em>P</em> &lt; 0.05). In addition, the total incidence of complications in the observation group was significantly lower than that in the control group, while the QOL score was significantly higher than that in the control group (<em>P</em> &lt; 0.05).
DOI: 10.6084/m9.figshare.22783478.v2
title: Original data of the manuscript

description: Sixty patients (unilateral eye disease) with post-vitrectomy cataract were randomized into observation group (n = 30; oral modified TCM seed prescription based on RZYYF) and control group (n = 30; Kary Uni Eye Drops). After 4-month treatment, the ocular condition, the levels of inflammatory factors in the tears, the total incidence of complications and the quality of life (QOL) scores were compared. After treatment, the observation group was significantly superior to the control group in the vision, visual field and visual acuity (<em>P</em> &lt; 0.05). And the levels of inflammatory factors in the observation group were markedly lower than the control group (<em>P</em> &lt; 0.05). In addition, the total incidence of complications in the observation group was significantly lower than that in the control group, while the QOL score was significantly higher than that in the control group (<em>P</em> &lt; 0.05).
DOI: 10.5281/zenodo.7934235
title: Dataset for the BDD systematic mapping study

description: This is the data for the research article titled "Behaviour Driven Development: A Systematic Mapping Study", which has been accepted for publication by The Journal of Systems and Software.
DOI: 10.5281/zenodo.7934234
title: Dataset for the BDD systematic mapping study

description: This is the data for the research article titled "Behaviour Driven Development: A Systematic Mapping Study", which has been accepted for publication by The Journal of Systems and Software.
DOI: 10.25910/xtkg-hc62
title: Supporting Adults with Chronic Kidney Disease to engage in shared decision making successfully (SUCCESS)

description: HeSANDA 1.0.0
description: This dataset will include up to 384 participants receiving in-center or home-based hemodialysis or peritoneal dialysis recruited from six local health districts in the Greater Sydney region, New South Wales, Australia. Baseline data will include demographics, dialysis history, cognitive status, health literacy and self-efficacy scores. Follow-up data will be collected at 3, 6 and 12 months and will include patient reported outcomes (quality of life, knowledge, confidence, health behaviour and self-management) and clinical outcomes (symptom burden (Palliative care Outcome Scale) and nutritional status (Patient-generated Subjective Global Assessment).
DOI: 10.5281/zenodo.7934296
title: Dataset used in the study: Impacts of hot-dry conditions on hydropower production in Switzerland

description: This dataset contains the hydro-meteorological data used in the study Impacts of hot-dry conditions on hydropower production in Switzerland. Description: The data consists of a <code>data.frame</code> for each of the hydropower plants located in different regions over Switzerland. This dataset includes the data for the historical (present-day or reference period) conditions and for the future climate projections as detailed in the paper. The data.frame structure is as follows: Date: Datetime columnd Generation: Observed daily hydropower generation collected from ENTSO-E Predictions: Predicted hydropower generation PREVAH: Daily discharge data PREVAH7D: 7Days lag values of discharge data PREVAH15D: 15Days lag values of discharge data PREVAH30D: 30Days lag values of discharge data spi_3: SPI-3 monthly values corresponding to the precipitation index (SPI-3) STI_1: STI-1 monthly values corresponding to the temperature index (STI-1) For further details about the data, please refer to the study.
description: For further details about the data, please refer to the study.
DOI: 10.5281/zenodo.7934295
title: Dataset used in the study: Impacts of hot-dry conditions on hydropower production in Switzerland

description: This dataset contains the hydro-meteorological data used in the study Impacts of hot-dry conditions on hydropower production in Switzerland. Description: The data consists of a <code>data.frame</code> for each of the hydropower plants located in different regions over Switzerland. This dataset includes the data for the historical (present-day or reference period) conditions and for the future climate projections as detailed in the paper. The data.frame structure is as follows: Date: Datetime columnd Generation: Observed daily hydropower generation collected from ENTSO-E Predictions: Predicted hydropower generation PREVAH: Daily discharge data PREVAH7D: 7Days lag values of discharge data PREVAH15D: 15Days lag values of discharge data PREVAH30D: 30Days lag values of discharge data spi_3: SPI-3 monthly values corresponding to the precipitation index (SPI-3) STI_1: STI-1 monthly values corresponding to the temperature index (STI-1) For further details about the data, please refer to the study.
description: For further details about the data, please refer to the study.
DOI: 10.6084/m9.figshare.22819814
title: Supplementary Material for: Chronic effects of the sympathetic nervous system in inflammatory models

description: The immune system is embedded in a network of regulatory systems to keep homeostasis in case of an immunologic challenge. Neuroendocrine immunologic research revealed several aspects of these interactions over the past decades, e.g. between the autonomic nervous system and the immune system. This review will focus on evidence revealing the role of the sympathetic nervous system (SNS) in chronic inflammation, like colitis, multiple sclerosis, systemic sclerosis, lupus erythematodes, and arthritis with a focus on animal models supported by human data. A theory of the contribution of the SNS in chronic inflammation will be presented that spans these disease entities. One major finding is the biphasic nature of the sympathetic contribution to inflammation with proinflammatory effects until the point of disease outbreak and mainly anti-inflammatory influence thereafter. Since sympathetic nerve fibers are lost from sites of inflammation during inflammation, local cells and immune cells achieve the capability to endogenously produce catecholamines to fine-tune the inflammatory response independent of brain control. On a systemic level, it has been shown across models that the SNS is activated in inflammation as opposed to the parasympathetic nervous system. Permanent overactivity of the SNS contributes many of the known disease sequelae. One goal of neuroendocrine immune research is defining new therapeutic targets. In this respect, it will be discussed that at least in arthritis, it might be beneficial to support β-adrenergic and inhibit α-adrenergic activity besides restoring autonomic balance. Overall, in the clinical setting we now need controlled interventional studies to successfully translate the theoretical knowledge into benefits for patients.
DOI: 10.6084/m9.figshare.22819814.v1
title: Supplementary Material for: Chronic effects of the sympathetic nervous system in inflammatory models

description: The immune system is embedded in a network of regulatory systems to keep homeostasis in case of an immunologic challenge. Neuroendocrine immunologic research revealed several aspects of these interactions over the past decades, e.g. between the autonomic nervous system and the immune system. This review will focus on evidence revealing the role of the sympathetic nervous system (SNS) in chronic inflammation, like colitis, multiple sclerosis, systemic sclerosis, lupus erythematodes, and arthritis with a focus on animal models supported by human data. A theory of the contribution of the SNS in chronic inflammation will be presented that spans these disease entities. One major finding is the biphasic nature of the sympathetic contribution to inflammation with proinflammatory effects until the point of disease outbreak and mainly anti-inflammatory influence thereafter. Since sympathetic nerve fibers are lost from sites of inflammation during inflammation, local cells and immune cells achieve the capability to endogenously produce catecholamines to fine-tune the inflammatory response independent of brain control. On a systemic level, it has been shown across models that the SNS is activated in inflammation as opposed to the parasympathetic nervous system. Permanent overactivity of the SNS contributes many of the known disease sequelae. One goal of neuroendocrine immune research is defining new therapeutic targets. In this respect, it will be discussed that at least in arthritis, it might be beneficial to support β-adrenergic and inhibit α-adrenergic activity besides restoring autonomic balance. Overall, in the clinical setting we now need controlled interventional studies to successfully translate the theoretical knowledge into benefits for patients.
DOI: 10.6084/m9.figshare.22819823
title: Supplementary Material for: Chronic effects of the sympathetic nervous system in inflammatory models

description: The immune system is embedded in a network of regulatory systems to keep homeostasis in case of an immunologic challenge. Neuroendocrine immunologic research revealed several aspects of these interactions over the past decades, e.g. between the autonomic nervous system and the immune system. This review will focus on evidence revealing the role of the sympathetic nervous system (SNS) in chronic inflammation, like colitis, multiple sclerosis, systemic sclerosis, lupus erythematodes, and arthritis with a focus on animal models supported by human data. A theory of the contribution of the SNS in chronic inflammation will be presented that spans these disease entities. One major finding is the biphasic nature of the sympathetic contribution to inflammation with proinflammatory effects until the point of disease outbreak and mainly anti-inflammatory influence thereafter. Since sympathetic nerve fibers are lost from sites of inflammation during inflammation, local cells and immune cells achieve the capability to endogenously produce catecholamines to fine-tune the inflammatory response independent of brain control. On a systemic level, it has been shown across models that the SNS is activated in inflammation as opposed to the parasympathetic nervous system. Permanent overactivity of the SNS contributes many of the known disease sequelae. One goal of neuroendocrine immune research is defining new therapeutic targets. In this respect, it will be discussed that at least in arthritis, it might be beneficial to support β-adrenergic and inhibit α-adrenergic activity besides restoring autonomic balance. Overall, in the clinical setting we now need controlled interventional studies to successfully translate the theoretical knowledge into benefits for patients.
DOI: 10.6084/m9.figshare.22819823.v1
title: Supplementary Material for: Chronic effects of the sympathetic nervous system in inflammatory models

description: The immune system is embedded in a network of regulatory systems to keep homeostasis in case of an immunologic challenge. Neuroendocrine immunologic research revealed several aspects of these interactions over the past decades, e.g. between the autonomic nervous system and the immune system. This review will focus on evidence revealing the role of the sympathetic nervous system (SNS) in chronic inflammation, like colitis, multiple sclerosis, systemic sclerosis, lupus erythematodes, and arthritis with a focus on animal models supported by human data. A theory of the contribution of the SNS in chronic inflammation will be presented that spans these disease entities. One major finding is the biphasic nature of the sympathetic contribution to inflammation with proinflammatory effects until the point of disease outbreak and mainly anti-inflammatory influence thereafter. Since sympathetic nerve fibers are lost from sites of inflammation during inflammation, local cells and immune cells achieve the capability to endogenously produce catecholamines to fine-tune the inflammatory response independent of brain control. On a systemic level, it has been shown across models that the SNS is activated in inflammation as opposed to the parasympathetic nervous system. Permanent overactivity of the SNS contributes many of the known disease sequelae. One goal of neuroendocrine immune research is defining new therapeutic targets. In this respect, it will be discussed that at least in arthritis, it might be beneficial to support β-adrenergic and inhibit α-adrenergic activity besides restoring autonomic balance. Overall, in the clinical setting we now need controlled interventional studies to successfully translate the theoretical knowledge into benefits for patients.
DOI: 10.21227/fmz1-zg62
title: MUDRA NITC

description: This dataset is collected by Mrs Athira P K  with the help of  teachers and students of Rahmania school for handicapped, Kozhikode, Kerala, India.
DOI: 10.34740/kaggle/dsv/5688036
title: Elon Musk Tweets
DOI: 10.6084/m9.figshare.22819838
title: <strong>The effect of Hospital-Community-Family triple linkage nursing model in home care of chronic wound patients</strong>

description: To exploring the effectiveness of the Hospital-Community-Family triple linkage nursing model in home care of chronic wound patients.
DOI: 10.25910/qxb6-4n53
title: Canadian Australasian Randomised trial of Screening Kidney transplant recipients for coronary artery disease (CARSK) dataset

description: HeSANDA 1.0.0
description: This dataset will include up to 3,306 adult kidney transplant candidates. Baseline data will include demographics and health related quality of life. Follow-up data will be collected at 6 and 12 months and then 6 monthly thereafter for the duration of the study (5 years) will include health related quality of life and clinical outcomes (major adverse cardiac event).
DOI: 10.34740/kaggle/dsv/5688059
title: BIOINFOXF_datasets
DOI: 10.34740/kaggle/dsv/5688065
title: BIOINFOXF_datasets
DOI: 10.34740/kaggle/dsv/5687978
title: Tehran-Municipality (شهرداری تهران)
DOI: 10.6084/m9.figshare.22819847
title: Spatial location

description: spatial location
DOI: 10.6084/m9.figshare.22819847.v1
title: Spatial location

description: spatial location
DOI: 10.6084/m9.figshare.21385011
title: Mosta_3_stages_new

description: anndata object based on data reported in [1] as provided in MOSTA. The anndata object include embryo sections E9.5 E2S1, E10.5 E2S1. The .X entry is based on reprocessing of the counts data consisting of normalize_total and log1p. anndata object based on data reported in [1] as provided in MOSTA. The anndata object include embryo sections E9.5 E2S1, E10.5 E2S1, E11.5 E1S2. 2000 most highly variable genes were selected. [1] Ao Chen, Sha Liao, Mengnan Cheng, Kailong Ma, Liang Wu, Yiwei Lai, Xiaojie Qiu et al. "Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays." Cell (2022)
DOI: 10.6084/m9.figshare.21385011.v2
title: Mosta_3_stages_new

description: anndata object based on data reported in [1] as provided in MOSTA. The anndata object include embryo sections E9.5 E2S1, E10.5 E2S1. The .X entry is based on reprocessing of the counts data consisting of normalize_total and log1p. anndata object based on data reported in [1] as provided in MOSTA. The anndata object include embryo sections E9.5 E2S1, E10.5 E2S1, E11.5 E1S2. 2000 most highly variable genes were selected. [1] Ao Chen, Sha Liao, Mengnan Cheng, Kailong Ma, Liang Wu, Yiwei Lai, Xiaojie Qiu et al. "Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays." Cell (2022)
DOI: 10.6084/m9.figshare.21385011.v1
title: Mosta_3_stages_new

description: anndata object based on data reported in [1] as provided in MOSTA. The anndata object include embryo sections E9.5 E2S1, E10.5 E2S1. The .X entry is based on reprocessing of the counts data consisting of normalize_total and log1p. anndata object based on data reported in [1] as provided in MOSTA. The anndata object include embryo sections E9.5 E2S1, E10.5 E2S1, E11.5 E1S2. 2000 most highly variable genes were selected. [1] Ao Chen, Sha Liao, Mengnan Cheng, Kailong Ma, Liang Wu, Yiwei Lai, Xiaojie Qiu et al. "Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays." Cell (2022)
DOI: 10.6084/m9.figshare.21946551
title: Cost-effectiveness analysis of atezolizumab plus chemotherapy as first-line treatment for patients with advanced nonsquamous non-small-cell lung cancer in China

description: The aim of the study was to evaluate the cost-effectiveness of adding atezolizumab to first-line chemotherapy for advanced nonsquamous non-small-cell lung cancer (NSCLC) from Chinese healthcare system. A partitioned survival model (PSM) was established to simulate 3-week patients transition in a 20-year time horizon to estimate the health and economic outcomes of adding atezolizumab to first-line chemotherapy for advanced nonsquamous NSCLC. Costs and utility values were obtained from the local charges and published studies. Sensitivity analyses were conducted to confirm the robustness of the model results. Atezolizumab plus chemotherapy yielded additional 0.36 life years (LYs) and 0.23 quality-adjusted life-years (QALYs), and the marginal cost was $60,154.48, resulting in an ICER of atezolizumab plus chemotherapy versus chemotherapy was $267,264.85/QALY. One-way sensitivity analyses revealed that the cost of atezolizumab was the main driver of the model outcomes, and the probabilistic sensitivity analyses suggested that atezolizumab plus chemotherapy had 0% probability of being cost-effective first-line option at the willingness-to-pay (WTP) threshold of $37,652/QALY in China. Atezolizumab plus chemotherapy could not be considered cost-effective compared with chemotherapy alone as the first-line strategy for patients with advanced nonsquamous NSCLC in China. And appropriately reduce the price of atezolizumab is necessary.
DOI: 10.6084/m9.figshare.21946551.v1
title: Cost-effectiveness analysis of atezolizumab plus chemotherapy as first-line treatment for patients with advanced nonsquamous non-small-cell lung cancer in China

description: The aim of the study was to evaluate the cost-effectiveness of adding atezolizumab to first-line chemotherapy for advanced nonsquamous non-small-cell lung cancer (NSCLC) from Chinese healthcare system. A partitioned survival model (PSM) was established to simulate 3-week patients transition in a 20-year time horizon to estimate the health and economic outcomes of adding atezolizumab to first-line chemotherapy for advanced nonsquamous NSCLC. Costs and utility values were obtained from the local charges and published studies. Sensitivity analyses were conducted to confirm the robustness of the model results. Atezolizumab plus chemotherapy yielded additional 0.36 life years (LYs) and 0.23 quality-adjusted life-years (QALYs), and the marginal cost was $60,154.48, resulting in an ICER of atezolizumab plus chemotherapy versus chemotherapy was $267,264.85/QALY. One-way sensitivity analyses revealed that the cost of atezolizumab was the main driver of the model outcomes, and the probabilistic sensitivity analyses suggested that atezolizumab plus chemotherapy had 0% probability of being cost-effective first-line option at the willingness-to-pay (WTP) threshold of $37,652/QALY in China. Atezolizumab plus chemotherapy could not be considered cost-effective compared with chemotherapy alone as the first-line strategy for patients with advanced nonsquamous NSCLC in China. And appropriately reduce the price of atezolizumab is necessary.
DOI: 10.25405/data.ncl.22657393.v2
title: Data for "Speech Rate and Turn-Transition Pause Duration in Dutch and English Spontaneous Question-Answer Sequences"

description: This dataset contains turn-transition times and several other speech timing and discourse variables for question-answer sequences extracted from two corpora of spontaneous, dyadic, lab-situated conversations in Dutch and English.
DOI: 10.25405/data.ncl.22657393
title: Data for "Speech Rate and Turn-Transition Pause Duration in Dutch and English Spontaneous Question-Answer Sequences"

description: This dataset contains turn-transition times and several other speech timing and discourse variables for question-answer sequences extracted from two corpora of spontaneous, dyadic, lab-situated conversations in Dutch and English.
DOI: 10.25405/data.ncl.22657393.v1
title: Data for "Speech Rate and Turn-Transition Pause Duration in Dutch and English Spontaneous Question-Answer Sequences"

description: This dataset contains turn-transition times and several other speech timing and discourse variables for question-answer sequences extracted from two corpora of spontaneous, dyadic, lab-situated conversations in Dutch and English.
DOI: 10.4121/34e0bc18-9438-4b32-b6d0-84a9d65f22d7
title: Dataset underlying the publication: Microwell-enhanced optical detection of single bacteria

description: This zip archive contains several folders with the data of the specific measurements (si (bare silicon), sio2 (in etched well)) and a MATLAB script SNR to run all data. If you add all folders and subfolders to the path and run the script in MATLAB, boxplots and histograms will be plotted.
DOI: 10.4121/34e0bc18-9438-4b32-b6d0-84a9d65f22d7.v1
title: Dataset underlying the publication: Microwell-enhanced optical detection of single bacteria

description: This zip archive contains several folders with the data of the specific measurements (si (bare silicon), sio2 (in etched well)) and a MATLAB script SNR to run all data. If you add all folders and subfolders to the path and run the script in MATLAB, boxplots and histograms will be plotted.
DOI: 10.34740/kaggle/dsv/5688169
title: BIOINFOXF_datasets
DOI: 10.5281/zenodo.7756023
title: Migration Mobility Survey, Survey on living as a migrant in Switzerland 2016-2018-2020-2022

description: Migration Mobility Survey, waves 2016, 2018, 2020 and 2022. Codebook and metadata along DDI standard. The fourth wave of the Migration-Mobility Survey took place during the fall of 2022. 7220 migrants were surveyed, 3346 of whom were surveyed 2 years ago (Panel). The remaining 3874 comprised the so-called Refresh sample. The topics included the migratory trajectory before arriving in Switzerland, characteristics of the arrival, information on the family, education level, labour market participation and topics referring to social integration and life in Switzerland. The 2020 wave also include a specific module referring to the Covid-19.
DOI: 10.5281/zenodo.7936301
title: Migration Mobility Survey, Survey on living as a migrant in Switzerland 2016-2018-2020-2022

description: Migration Mobility Survey, waves 2016, 2018, 2020 and 2022. Codebook and metadata along DDI standard. The fourth wave of the Migration-Mobility Survey took place during the fall of 2022. 7220 migrants were surveyed, 3346 of whom were surveyed 2 years ago (Panel). The remaining 3874 comprised the so-called Refresh sample. The topics included the migratory trajectory before arriving in Switzerland, characteristics of the arrival, information on the family, education level, labour market participation and topics referring to social integration and life in Switzerland. The 2020 wave also include a specific module referring to the Covid-19.
description: Includes corrected variable W22C1 ("Do you intend to apply for Swiss nationality in the future?") which was missing in the initial release.