cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5pd72p7n4m.1
title: mNSCs overexpressing Rimkla transplantation facilitates cognitive recovery in a mouse model of traumatic brain injury

description: N-acetyl aspartyl-glutamate (NAAG) is easily inactivated by the hydrolysis of NAAG peptidase (GCPII) on the surface of glial cells, thereby losing the endogenous neuroprotection after traumatic brain injury. In recent years, the transplantation of genetically modified neural stem cells (NSCs) has made encouraging progress in reducing brain damage and promoting the recovery of brain function after traumatic brain injury (TBI). In this study, mouse embryonic neural stem cells (mNSCs) were used to over-express/knock out NAAG synthase (Rimkla) in vitro using lentiviral vectors and transplanted into the hippocampus of mice with controlled cortical impact (CCI). In vivo experiments showed that transplantation of mNSCs overexpressing Rimkla improved glutamine-glutamate cycling between astrocytes and neurons in the subacute phase of CCI, thereby enhancing neuronal metabolic support and promoting neuronal synaptic repair in the hippocampal CA3 region, and finally promoting the recovery of learning and memory in mice. Taken together, these findings confirm that overexpression of NAAG synthetases in neural stem cells can effectively maintain NAAG concentrations in local brain regions, which opens up new ideas for the maintenance of NAAG neuroprotective effects after TBI and provides a new strategy for the treatment of traumatic brain injury with neural stem cell transplantation.
RNA sequencing data were divided into mNSCs-Vector and mNSCs-Rimkla-OE groups. The hippocampal tissues of the injection side were taken for sequencing on the 7th day after injection of neural stem cells into the traumatic brain injury model mice. There were three samples in each group.
DOI: 10.17632/bg5nms9y65.1
title: Data of qEEG and MMPI

description: This data consists of data of MMPI, qEEG of eyes closed and qEEG of eyes open. All data were in standardized scores.
DOI: 10.17632/xmcw25cktd.1
title: Uncertainties in Building LCA

description: The papers and information involved in a systematic literature review on uncertainties in building LCA ( Jie Li, et al, 2023)
1. Process of systematic literature search and screening
2. Extracted information, and heatmaps of two threshold options
3. LCA report template with basic assessment and uncertainty assessment
DOI: 10.17632/wk6p36kpvb.1
title: FINITE ELEMENT ANALYSIS OF THE INFLUENCE OF DOWEL ANGLE ON CFRP ANCHORS - Ver. 2

description: We have uploaded Excel spreadsheets containing slip-load curves for both Validation Models and Sensitivity Analysis Models. The Validation Models take into account the concrete compressive strength (fcu) as determined in the original experiments, with fcu being either 47.2 MPa or 55.1 MPa depending on the corresponding data. For the Sensitivity Analysis, a value of fcu=55.1 MPa is used in all cases. Additionally, we have included Atena Science input files, which require an Atena Science license to open and run.
Ver 2. Values of fcu included on Validation spreadsheet
DOI: 10.17632/wk6p36kpvb.2
title: FINITE ELEMENT ANALYSIS OF THE INFLUENCE OF DOWEL ANGLE ON CFRP ANCHORS - Ver. 2

description: We have uploaded Excel spreadsheets containing slip-load curves for both Validation Models and Sensitivity Analysis Models. The Validation Models take into account the concrete compressive strength (fcu) as determined in the original experiments, with fcu being either 47.2 MPa or 55.1 MPa depending on the corresponding data. For the Sensitivity Analysis, a value of fcu=55.1 MPa is used in all cases. Additionally, we have included Atena Science input files, which require an Atena Science license to open and run.
Ver 2. Values of fcu included on Validation spreadsheet
DOI: 10.17632/tvty869sr3.1
title: Data set: Full vector paleomagnetic estimation from the Parana-Etendeka Large Igneous Province, southern Brazil: Implications on the onset of Cretaceous Normal Superchron

description: The files in this dataset provide the data to report the paleomagnetism and rock magnetism results of the paper: "Full vector paleomagnetic estimation from the Parana-Etendeka Large Igneous Province, southern Brazil: Implications on the onset of Cretaceous Normal Superchron". The Paleomagnetism folder contains the paleodirections data in a .col file for analysis on the https://www.paleomagnetism.org page (Koymans et al. 2016) (Data S1) and the paleointensity data in a .txt file for analysis on the https://paleointensity.org page (Béguin et al. 2020) (Data S2). The Rock Magnetism folder contains the data to generate the susceptibility versus temperature curves (Data S3) in an Excel file, the hysteresis data in a .mat work session for the HystLab program of Paterson et al. (2018) (Data S4), the . txt files within a zipped file for analyzing the curves in the MaxUnimx program (https://maxunmix.shinyapps.io/MAX_UnMix_final_version/) of Maxbauer et al. (2016) (Data S5) and the raw FORC data in a zipped file for analysis in the program of Harrison, R. J., & Feinberg, J. M. (2008) version 3.08.
DOI: 10.17632/zc4s3dszf5.1
title: Neuronal expression of human amyloid-β and Tau drives global phenotypic and omic changes in C. elegans

description: Transcriptomic and Metabolomic data along with code for manuscript figures.
DOI: 10.17632/zrzpvnn5yw.1
title: Supplementary Tables 1 and 2 for ChatGPT Inputs, Outputs, and Categories of Suggested Diagnoses for Malignant and Benign Skin Neoplasms 

description: Full ChatGPT Inputs, Outputs, and Categories of Suggested Diagnoses for Malignant and Benign Skin Neoplasms.
DOI: 10.4121/35e50f3e-7ee9-4ea0-afd1-bb1b84eab3b8
title: Data underlying the article: "How do citizens weigh societal impacts of a pandemic when it transitions into an endemic? The results of a discrete choice experiment in the Netherlands"

description: This dataset comprises the responses of a discrete choice experiment to elicit the Dutch citizens' preferences for policy packages to curb the spread of COVID-19 during its endemic phase. Each policy package is characterised by six attributes: COVID-19 deaths, physical injuries, mental health problems, severe income problems, delay of surgeries and the stringency of the COVID-19 measures.
DOI: 10.4121/35e50f3e-7ee9-4ea0-afd1-bb1b84eab3b8.v1
title: Data underlying the article: "How do citizens weigh societal impacts of a pandemic when it transitions into an endemic? The results of a discrete choice experiment in the Netherlands"

description: This dataset comprises the responses of a discrete choice experiment to elicit the Dutch citizens' preferences for policy packages to curb the spread of COVID-19 during its endemic phase. Each policy package is characterised by six attributes: COVID-19 deaths, physical injuries, mental health problems, severe income problems, delay of surgeries and the stringency of the COVID-19 measures.
DOI: 10.26179/svxw-kt31
title: A data collation for climate-cooling gas dimethylsulphide in Antarctic snow, sea ice and underlying seawater
DOI: 10.6084/m9.figshare.24031833
title: The Effect of Music Tempo on Movement Flow dataSet.zip

description: This part of the experimental data contains subjective evaluation data analysis, objective evaluation data analysis, and all stimulis.
DOI: 10.6084/m9.figshare.24031833.v1
title: The Effect of Music Tempo on Movement Flow dataSet.zip

description: This part of the experimental data contains subjective evaluation data analysis, objective evaluation data analysis, and all stimulis.
DOI: 10.34740/kaggle/dsv/6361858
title: US International Trade Goods Dataset
DOI: 10.5281/zenodo.6412694
title: Streamflow data records for catchments in Victoria

description: This dataset contains streamflow, precipitation, and potential evapotranspiration records of 161 catchments in Victoria, Australia.
DOI: 10.5281/zenodo.6576249
title: Streamflow data records for catchments in Victoria

description: We provide here the dataset of streamflow, precipitation, and potential evapotranspiration records of 161 catchments in Victoria, Australia. Also provided here are the shapefiles and other related files of the used catchments' boundaries, their gauge stations, Victoria, lakes and watercourse in Victoria.
DOI: 10.5281/zenodo.6412693
title: Streamflow data records for catchments in Victoria, Australia

description: We provide here the observed monthly total streamflow (q) and precipitation (p) records at 161 unregulated catchments in Victoria, Australia. All observations are in units of millimeters per month. The number of missing days of streamflow per month is also provided as a measure of data quality (see “gap days”). This data is sourced from Peterson et al. (2021), wherein the data is provided within the R package, HydroState. Its original use was for investigating non-recovery of streamflow after droughts and catchment resilience. The precipitation data is the area-weighted catchment average depth and was derived using the R package, AWAPer (see Peterson et al., 2019). The compilation of the streamflow data was led by Dr Margarita Saft and the observed data was sourced from https://data.water.vic.gov.au/. For additional details of the data see Peterson et al. (2021) – Supplemental file. Also provided here are the following GIS shapefiles of the study catchments: boundaries, stream gauge location, state boundary, major lakes and watercourse of Victoria. The spatial data files were derived from https://www.data.vic.gov.au/. The units of area and elevation therein are square meter and meter, respectively. The files here were used in Goswami et al. (2022) and were uploaded to Zenodo to comply with the journal data availability requirements. Update: Temperature and PET datasets of the 161 catchments were added to support analysis carried out in a follow up paper, Goswami et al 2023.
DOI: 10.5281/zenodo.6659675
title: Streamflow data records for catchments in Victoria, Australia

description: We provide here the observed monthly total streamflow (q) and precipitation (p) records at 161 unregulated catchments in Victoria, Australia. All observations are in units of millimetres per month. The number of missing days of streamflow per month is also provided as a measure of data quality (see “gap days”). This data is sourced from Peterson et al. (2021), wherein the data is provided within the R package, HydroState. Its original use was for investigating non-recovery of streamflow after droughts and catchment resilience. The precipitation data is the area-weighted catchment average depth and was derived using the R package, AWAPer (see Peterson et al., 2019). The compilation of the streamflow data was led by Dr Margarita Saft and the observed data was sourced from https://data.water.vic.gov.au/. For additional details of the data see Peterson et al. (2021) – Supplemental file. Also provided here are the following GIS shapefiles of the study catchments: boundaries, stream gauge location, state boundary, major lakes and watercourse of Victoria. The spatial data files were derived from https://www.data.vic.gov.au/. The files here were used in Goswami et al. (2022) and were uploaded to Zenodo to comply with the journal data availability requirements.
DOI: 10.5281/zenodo.6659706
title: Streamflow data records for catchments in Victoria, Australia

description: We provide here the observed monthly total streamflow (q) and precipitation (p) records at 161 unregulated catchments in Victoria, Australia. All observations are in units of millimeters per month. The number of missing days of streamflow per month is also provided as a measure of data quality (see “gap days”). This data is sourced from Peterson et al. (2021), wherein the data is provided within the R package, HydroState. Its original use was for investigating non-recovery of streamflow after droughts and catchment resilience. The precipitation data is the area-weighted catchment average depth and was derived using the R package, AWAPer (see Peterson et al., 2019). The compilation of the streamflow data was led by Dr Margarita Saft and the observed data was sourced from https://data.water.vic.gov.au/. For additional details of the data see Peterson et al. (2021) – Supplemental file. Also provided here are the following GIS shapefiles of the study catchments: boundaries, stream gauge location, state boundary, major lakes and watercourse of Victoria. The spatial data files were derived from https://www.data.vic.gov.au/. The units of area and elevation therein are square meter and meter, respectively. The files here were used in Goswami et al. (2022) and were uploaded to Zenodo to comply with the journal data availability requirements.
DOI: 10.5281/zenodo.8281063
title: Streamflow data records for catchments in Victoria, Australia

description: We provide here the observed monthly total streamflow (q) and precipitation (p) records at 161 unregulated catchments in Victoria, Australia. All observations are in units of millimeters per month. The number of missing days of streamflow per month is also provided as a measure of data quality (see “gap days”). This data is sourced from Peterson et al. (2021), wherein the data is provided within the R package, HydroState. Its original use was for investigating non-recovery of streamflow after droughts and catchment resilience. The precipitation data is the area-weighted catchment average depth and was derived using the R package, AWAPer (see Peterson et al., 2019). The compilation of the streamflow data was led by Dr Margarita Saft and the observed data was sourced from https://data.water.vic.gov.au/. For additional details of the data see Peterson et al. (2021) – Supplemental file. Also provided here are the following GIS shapefiles of the study catchments: boundaries, stream gauge location, state boundary, major lakes and watercourse of Victoria. The spatial data files were derived from https://www.data.vic.gov.au/. The units of area and elevation therein are square meter and meter, respectively. The files here were used in Goswami et al. (2022) and were uploaded to Zenodo to comply with the journal data availability requirements. Update: Temperature and PET datasets of the 161 catchments were added to support analysis carried out in a follow up paper, Goswami et al 2023.
DOI: 10.57841/casdc.0001950
title: 仿生叠层构型石墨烯对铝基复合材料的纳米摩擦性能的影响
DOI: 10.6084/m9.figshare.24031839
title: <b> Assertive_behavior_of_robots_and_its_perception_by_children</b>

description: <br>This dataset comprises demographic information about the child participants in our study, details about the prompts they utilized to address the robot, and their responses to the Attribution of Mental States Questionnaire. The study was conducted in Polish, but the data is available both in Polish and English. Abstract: This paper contributes to the understanding of child-robot interaction through the investigation of child interactions with and anthropomorphization of humanoid robots when manipulating robot-related variables such as behavior and gender. In this study, children observe a robot demonstration in a classroom setting, during which the robot showcases either assertive or submissive behavior and is attributed a gender, either robot-female or robot-male. Afterwards, participant anthropomorphization is measured using the Attributed Mental States Questionnaire. Results suggest that when prompted to select a response directed at the robot, children used significantly more commanding phrases when addressing the assertively behaving robot when compared to the submissively behaving robot. Further, younger children ages 7-9 anthropomorphize robots at a higher degree than older children 10-12 and assertive behavior from the robot lead to higher rates of anthropomorphization. Results also suggest that children are more likely to respond to female robots in an imperative way than male robots. This widened understanding of child perception of and interaction with humanoid robots can contribute to the design of acceptable robot interaction patterns in various settings. <br>
DOI: 10.6084/m9.figshare.24031839.v1
title: <b> Assertive_behavior_of_robots_and_its_perception_by_children</b>

description: <br>This dataset comprises demographic information about the child participants in our study, details about the prompts they utilized to address the robot, and their responses to the Attribution of Mental States Questionnaire. The study was conducted in Polish, but the data is available both in Polish and English. Abstract: This paper contributes to the understanding of child-robot interaction through the investigation of child interactions with and anthropomorphization of humanoid robots when manipulating robot-related variables such as behavior and gender. In this study, children observe a robot demonstration in a classroom setting, during which the robot showcases either assertive or submissive behavior and is attributed a gender, either robot-female or robot-male. Afterwards, participant anthropomorphization is measured using the Attributed Mental States Questionnaire. Results suggest that when prompted to select a response directed at the robot, children used significantly more commanding phrases when addressing the assertively behaving robot when compared to the submissively behaving robot. Further, younger children ages 7-9 anthropomorphize robots at a higher degree than older children 10-12 and assertive behavior from the robot lead to higher rates of anthropomorphization. Results also suggest that children are more likely to respond to female robots in an imperative way than male robots. This widened understanding of child perception of and interaction with humanoid robots can contribute to the design of acceptable robot interaction patterns in various settings. <br>
DOI: 10.4121/c8ee5fc8-3793-480c-a536-f10c30515b61.v1
title: SEDMEX - hydrodynamic data

description: The SEDMEX campaign aims to gain new insights into the driving processes behind sheltered-beach morphodynamics. Field measurements from were conducted September - October 2021 at the Prins Hendrik Zanddijk: a man-made beach on the leeside of the barrier island Texel, bordering the Marsdiep basin that is part of the Dutch Wadden Sea. This data set consists of current, wave and turbidity measurements from a dense cross-shore array, a sparser 3-km alongshore array and a deep water wave buoy.
DOI: 10.6084/m9.figshare.24031893
title: Detailed information from sequenced samples

description: Samples from the CMN collection. Subspecies assignments were based on Hall (1981) and Nowak (1995). The specimens CMNMA 18251 and CMNMA 21571 were labeled by the CMN mammal collection staff as putative hybrids after Lawrence and Bossert (1967).
DOI: 10.6084/m9.figshare.24031893.v1
title: Detailed information from sequenced samples

description: Samples from the CMN collection. Subspecies assignments were based on Hall (1981) and Nowak (1995). The specimens CMNMA 18251 and CMNMA 21571 were labeled by the CMN mammal collection staff as putative hybrids after Lawrence and Bossert (1967).
DOI: 10.4121/5520e223-32ad-44fe-8aa2-0b0db20ca606
title: SEDMEX - beach profile data

description: The SEDMEX campaign aims to gain new insights into the driving processes behind sheltered-beach morphodynamics. Field measurements from were conducted September - October 2021 at the Prins Hendrik Zanddijk: a man-made beach on the leeside of the barrier island Texel, bordering the Marsdiep basin that is part of the Dutch Wadden Sea. This data set presents beach profile measurements collected with RTK-GNSS on 7 transects along the Prins Hendrikzanddijk. All surveys are projected onto a 0.25 discretization of the target transects.<br><br>
DOI: 10.4121/5520e223-32ad-44fe-8aa2-0b0db20ca606.v1
title: SEDMEX - beach profile data

description: The SEDMEX campaign aims to gain new insights into the driving processes behind sheltered-beach morphodynamics. Field measurements from were conducted September - October 2021 at the Prins Hendrik Zanddijk: a man-made beach on the leeside of the barrier island Texel, bordering the Marsdiep basin that is part of the Dutch Wadden Sea. This data set presents beach profile measurements collected with RTK-GNSS on 7 transects along the Prins Hendrikzanddijk. All surveys are projected onto a 0.25 discretization of the target transects.<br><br>
DOI: 10.17632/j7khwb3z3r.1
title: Hybrid-DL-IR-Data

description: The data is for the work of "Hybrid Deep-learning and Iterative Reconstruction Scheme for Medical Imaging Reconstruction, Cell Reports Medicine, 2023".
DOI: 10.17632/j7khwb3z3r.2
title: Hybrid-DL-IR-Data

description: The data is for the work of "Hybrid Deep-learning and Iterative Reconstruction Scheme for Medical Imaging Reconstruction, Cell Reports Medicine, 2023".
DOI: 10.17632/j7khwb3z3r.3
title: Hybrid-DL-IR-Data

description: The data is for the work of "Hybrid Deep-learning and Iterative Reconstruction Scheme for Medical Imaging Reconstruction, Cell Reports Medicine, 2023".
DOI: 10.5281/zenodo.3626767
title: Data for comparison of Peruvian and Ugandan Rhyssinae

description: This dataset contains the data and analyses of our paper on the relative species richness of Peruvian and Ugandan sites. We collected rhyssines (Ichneumonidae: Rhyssinae) by Malaise trapping in Peruvian Amazonia (Amazon 1998, 2000, 2008, 2011) and in Uganda (Uganda 2014–2015), and compared the results. The script (2 Compare Ugandan and Peruvian rhyssines.R) will usually be of the greatest interest. It contains the R code used to analyse the data and create the figures in the paper.
description: Funded by the Finnish Cultural Foundation, Oskar Öflunds Stiftelse, the Helsinki Entomology Society and Waldemar von Frenckells stiftelse.
DOI: 10.57841/casdc.0001951
title: 液膜润滑机械端面密封流体动压沟槽侧壁效应研究
DOI: 10.15468/dl.fmhuu8
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liparis nephrocardia Schltr."
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046520-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xb4qd
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium reticulatum (L.) Mill."
 ]
}

 The dataset includes 102 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046521-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcw2rd
title: Occurrence Download

description: A dataset containing 4106 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liparis nervosa (Thunb.) Lindl."
 ]
}

 The dataset includes 4106 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046522-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hz9sn
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium retirameum Greuter & Burdet"
 ]
}

 The dataset includes 39 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046523-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2sa8r
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liparis nutans (Ames) Ames"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046524-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.