cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8046647
title: The evaluation of anti-breast cancer activity and safety pharmacology of the ethanol extract of <i>Aralia elata</i> Seem. leaves

description: <i>Aralia elata</i> Seem. is a traditional folk Chinese medicinal plant and its leaves have been used to treat many diseases. We aimed to evaluate the anti-breast cancer activity and safety pharmacology of the ethanol extract of <i>A. elata</i> Seem. leaves (ELE). Cytotoxicity was evaluated on human tumor cell lines by MTT assay <i>in vitro</i>. A tumor bearing-nude mice model was used to assess antitumor activity <i>in vivo</i>. Cell apoptosis was determined by Hoechst 33258 staining, flow cytometry and TUNEL staining. The protein levels were determined by western-blotting and immunohistochemical staining. In safety evaluation, ICR mice and beagle dogs were orally administered ELE at different doses to determine its adverse effects on the central nervous system and cardiorespiratory system. ELE significantly inhibited tumor growth and induced cell apoptosis in MCF-7 cells <i>in vitro</i> and <i>in vivo</i>. The protein levels including caspase-3, caspase-9, bax, bcl-2, PARP, and cytochrome c were significantly changed. For the central nervous system, no treatment-related changes in behavior, motor activity or coordination were observed in mice. For the cardiorespiratory system, no significant differences in cardiorespiratory parameters including heart rate, PR interval, RR interval, P wave duration, QRS duration, QTcF interval, respiratory frequency, tidal volume, body temperature, and blood pressure were observed in beagle dogs between the ELE treatment and control group. In conclusion, ELE possessed anti-breast cancer activity by activating a mitochondrial-mediated apoptotic pathway with high biological safety in animals, which indicates it could be a potential therapeutic agent for treating human breast cancer in the future.
DOI: 10.6084/m9.figshare.8046647.v1
title: The evaluation of anti-breast cancer activity and safety pharmacology of the ethanol extract of <i>Aralia elata</i> Seem. leaves

description: <i>Aralia elata</i> Seem. is a traditional folk Chinese medicinal plant and its leaves have been used to treat many diseases. We aimed to evaluate the anti-breast cancer activity and safety pharmacology of the ethanol extract of <i>A. elata</i> Seem. leaves (ELE). Cytotoxicity was evaluated on human tumor cell lines by MTT assay <i>in vitro</i>. A tumor bearing-nude mice model was used to assess antitumor activity <i>in vivo</i>. Cell apoptosis was determined by Hoechst 33258 staining, flow cytometry and TUNEL staining. The protein levels were determined by western-blotting and immunohistochemical staining. In safety evaluation, ICR mice and beagle dogs were orally administered ELE at different doses to determine its adverse effects on the central nervous system and cardiorespiratory system. ELE significantly inhibited tumor growth and induced cell apoptosis in MCF-7 cells <i>in vitro</i> and <i>in vivo</i>. The protein levels including caspase-3, caspase-9, bax, bcl-2, PARP, and cytochrome c were significantly changed. For the central nervous system, no treatment-related changes in behavior, motor activity or coordination were observed in mice. For the cardiorespiratory system, no significant differences in cardiorespiratory parameters including heart rate, PR interval, RR interval, P wave duration, QRS duration, QTcF interval, respiratory frequency, tidal volume, body temperature, and blood pressure were observed in beagle dogs between the ELE treatment and control group. In conclusion, ELE possessed anti-breast cancer activity by activating a mitochondrial-mediated apoptotic pathway with high biological safety in animals, which indicates it could be a potential therapeutic agent for treating human breast cancer in the future.
DOI: 10.6084/m9.figshare.14604490
title: Traffic-related particulate matter aggravates ocular allergic inflammation by mediating dendritic cell maturation

description: The aim of this study was to determine the effects of traffic-related particulate matter (PM) on allergic inflammation of ocular surfaces. BALB/c mice were sensitized with ovalbumin (OVA) and aluminum hydroxide via intraperitoneal injection. Two weeks later, mice were challenged with eye drops containing OVA concomitant with either traffic-related PM<sub>2.5</sub> or vehicle eye drops. Topical OVA challenges were administered following unilateral subconjunctival injection of magnetic-bead-sorted CD11c+ dendritic cells (DC). The following were assessed: (1) clinical signs, (2) infiltration of inflammatory cells into conjunctiva, (3) serum levels of OVA-specific IgE production, and (4) T-cell cytokine secretion with topical application of PM<sub>2.5</sub>, compared to saline vehicle. PM<sub>2.5</sub> was found to increase production of OVA-specific IgE in serum and Th2 immune response-related cytokines including interleukin (IL)-4, IL-17A, and IL-13 compared to vehicle control. It is of interest that PM<sub>2.5</sub> treatment also elevated the population of mature DCs in draining lymph nodes (LNs). Exposure with PM<sub>2.5</sub> was associated with a significant rise in conjunctival expression of IL-1β, IL-6, IL-17, and TNF. After subconjunctival injection of CD11c+DCs from PM<sub>2.5</sub>-treated allergic conjunctivitis (AC) mice into naïve mice, T cell responses and OVA-specific IgE were also enhanced. Data suggest that traffic-related PM<sub>2.5</sub> exacerbated allergic conjunctivitis as evidenced by increased infiltration of inflammatory cells into the conjunctiva and Th2 responses in the draining LNs associated with enhanced maturation of DCs. Our findings provide new insight into the hazardous potential of traffic-related PM<sub>2.5</sub> on allergic diseases, such as asthma or atopic dermatitis.
DOI: 10.6084/m9.figshare.14604490.v1
title: Traffic-related particulate matter aggravates ocular allergic inflammation by mediating dendritic cell maturation

description: The aim of this study was to determine the effects of traffic-related particulate matter (PM) on allergic inflammation of ocular surfaces. BALB/c mice were sensitized with ovalbumin (OVA) and aluminum hydroxide via intraperitoneal injection. Two weeks later, mice were challenged with eye drops containing OVA concomitant with either traffic-related PM<sub>2.5</sub> or vehicle eye drops. Topical OVA challenges were administered following unilateral subconjunctival injection of magnetic-bead-sorted CD11c+ dendritic cells (DC). The following were assessed: (1) clinical signs, (2) infiltration of inflammatory cells into conjunctiva, (3) serum levels of OVA-specific IgE production, and (4) T-cell cytokine secretion with topical application of PM<sub>2.5</sub>, compared to saline vehicle. PM<sub>2.5</sub> was found to increase production of OVA-specific IgE in serum and Th2 immune response-related cytokines including interleukin (IL)-4, IL-17A, and IL-13 compared to vehicle control. It is of interest that PM<sub>2.5</sub> treatment also elevated the population of mature DCs in draining lymph nodes (LNs). Exposure with PM<sub>2.5</sub> was associated with a significant rise in conjunctival expression of IL-1β, IL-6, IL-17, and TNF. After subconjunctival injection of CD11c+DCs from PM<sub>2.5</sub>-treated allergic conjunctivitis (AC) mice into naïve mice, T cell responses and OVA-specific IgE were also enhanced. Data suggest that traffic-related PM<sub>2.5</sub> exacerbated allergic conjunctivitis as evidenced by increased infiltration of inflammatory cells into the conjunctiva and Th2 responses in the draining LNs associated with enhanced maturation of DCs. Our findings provide new insight into the hazardous potential of traffic-related PM<sub>2.5</sub> on allergic diseases, such as asthma or atopic dermatitis.
DOI: 10.6084/m9.figshare.14604345
title: Data File Details

description: <br>Data structure and organization included with orginal file.
DOI: 10.6084/m9.figshare.14604345.v1
title: Data File Details

description: The description file contains details/features of files including key specifications that enable its easy evaluation.<br><br>
DOI: 10.15161/oar.it/73791
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.14604507.v1
title: BBDD CMJ 2pn JJ y Caf_2ª limpieza.xlsx

description: Two datasets for unilateral and bilateral jumps
DOI: 10.6084/m9.figshare.14604522
title: 00_Limpia_CMJ 1pn BBDD_2.xlsx

description: Two datasets, one for unilateral and other for bilateral jumps
DOI: 10.6084/m9.figshare.14604522.v1
title: 00_Limpia_CMJ 1pn BBDD_2.xlsx

description: Two datasets, one for unilateral and other for bilateral jumps
DOI: 10.6084/m9.figshare.14604507
title: BBDD CMJ 2pn JJ y Caf_2ª limpieza.xlsx

description: Two datasets for unilateral and bilateral jumps
DOI: 10.6084/m9.figshare.14604519
title: Altmetric Articles 2017-2020.xlsx

description: This is an initial foray into determining whether researchers at the University of Winchester are more likely to choose Open Access publication for outputs which they perceive to be of higher quality. Data on articles published between 2017 and 2020 was downloaded from Altmetrics and ranked according to Altmetric score, Mendeley readers, Dimensions citation count, and a mean institutional ranking based on these three aspects.
DOI: 10.6084/m9.figshare.14604531
title: Database caff CMJ

description: Different datasets for bilateral and unilateral jump
DOI: 10.6084/m9.figshare.14604531.v1
title: Database caff CMJ

description: Different datasets for bilateral and unilateral jump
DOI: 10.6084/m9.figshare.13456449.v1
title: Improving the monitoring of sugarcane residues in a tropical environment based on laboratory and Sentinel-2 data

description: Retaining a residue cover (RC) over the soil is the key to ensure its health. Since tropical agriculture systems, mostly in sugarcane, are characterized by intensive management, the discrimination of residue types becomes difficult and aims to be detected. Our goal was to identify features regarding sugarcane residues using hyperspectral and simulated Sentinel-2 dataset. Therefore, we collected green leafs (GL), straw (ST) and burn material (BM), added to two classes of contrasting soils, Ferralsols (S1) and Arenosols (S2). We developed control samples (GL, ST, BM, and soil) and also treatments with a combination of soil and RC with different dosages. We used the FieldSpec (350 to 2500 nm) to obtain the spectral data to each sample. The spectral data were subsequently used for the simulation of Sentinel-2 bands. GL presented features related to water absorption (1400 and 1900 nm) and pigments in the visible region. ST does not present features relating to pigments, neither water absorption. Due to the increase of BM, we observed a decreasing in the intensity of reflectance. Regardless the type of RC, soil features (kaolinite and mineralogy) were lost when more than 70% coverage was reached. The soil background affects the reflectance in all treatments, brighter soils influenced the spectral in the vis region. Sentinel-2 presented a strong positive correlation in the RedEdge (band 5) to assess green vegetation, in the Short-wave infrared (SWIR) to non-photosynthetically active material and in the blue band to BM. The Cellulose Absorption Index (CAI) combined with Normalized Difference Vegetation Index (NDVI) and reflectance in the red could assist in distinction of the tree RC in mixed systems. We provided an interesting spectral analysis that could assist in futures studies to improve indices on the task for soil management.
DOI: 10.6084/m9.figshare.13456449
title: Improving the monitoring of sugarcane residues in a tropical environment based on laboratory and Sentinel-2 data

description: Retaining a residue cover (RC) over the soil is the key to ensure its health. Since tropical agriculture systems, mostly in sugarcane, are characterized by intensive management, the discrimination of residue types becomes difficult and aims to be detected. Our goal was to identify features regarding sugarcane residues using hyperspectral and simulated Sentinel-2 dataset. Therefore, we collected green leafs (GL), straw (ST) and burn material (BM), added to two classes of contrasting soils, Ferralsols (S1) and Arenosols (S2). We developed control samples (GL, ST, BM, and soil) and also treatments with a combination of soil and RC with different dosages. We used the FieldSpec (350 to 2500 nm) to obtain the spectral data to each sample. The spectral data were subsequently used for the simulation of Sentinel-2 bands. GL presented features related to water absorption (1400 and 1900 nm) and pigments in the visible region. ST does not present features relating to pigments, neither water absorption. Due to the increase of BM, we observed a decreasing in the intensity of reflectance. Regardless the type of RC, soil features (kaolinite and mineralogy) were lost when more than 70% coverage was reached. The soil background affects the reflectance in all treatments, brighter soils influenced the spectral in the vis region. Sentinel-2 presented a strong positive correlation in the RedEdge (band 5) to assess green vegetation, in the Short-wave infrared (SWIR) to non-photosynthetically active material and in the blue band to BM. The Cellulose Absorption Index (CAI) combined with Normalized Difference Vegetation Index (NDVI) and reflectance in the red could assist in distinction of the tree RC in mixed systems. We provided an interesting spectral analysis that could assist in futures studies to improve indices on the task for soil management.
DOI: 10.6084/m9.figshare.13456455.v1
title: A new indicator of forest fire risk for Indonesia based on peat soil reflectance spectra measurements

description: Conventional fire risk prediction using vegetation indexes is inappropriate because changes in soil moisture caused by plant drought stress have a 1 to 2 month time lag, which is too long for fire risk management. Further, soil and water indices used for traditional bare land assessments are also unsuitable because Indonesia is partially covered by peat soil, which has different reflection characteristics compared to typical agricultural and field soils. Here we describe a new index for estimating peat soil moisture using satellite remote sensing data. The method was developed using the ultra-blue band (435 to 451 nm) of the Land Remote-Sensing Satellite (Landsat 8) and is based on the moisture dependence of the reflected spectra measured directly. Our developed index showed a relatively strong correlation (<i>r</i> = 0.56 to 0.63) with real wildfire points and was a more reliable index than conventional measures used for fire risk management.
DOI: 10.6084/m9.figshare.13456455
title: A new indicator of forest fire risk for Indonesia based on peat soil reflectance spectra measurements

description: Conventional fire risk prediction using vegetation indexes is inappropriate because changes in soil moisture caused by plant drought stress have a 1 to 2 month time lag, which is too long for fire risk management. Further, soil and water indices used for traditional bare land assessments are also unsuitable because Indonesia is partially covered by peat soil, which has different reflection characteristics compared to typical agricultural and field soils. Here we describe a new index for estimating peat soil moisture using satellite remote sensing data. The method was developed using the ultra-blue band (435 to 451 nm) of the Land Remote-Sensing Satellite (Landsat 8) and is based on the moisture dependence of the reflected spectra measured directly. Our developed index showed a relatively strong correlation (<i>r</i> = 0.56 to 0.63) with real wildfire points and was a more reliable index than conventional measures used for fire risk management.
DOI: 10.6084/m9.figshare.14604504.v1
title: R Project

description: Include data and R code
DOI: 10.5281/zenodo.4767152
title: Mesoscale convective systems in the Tibetan Plateau region 2000 - 2019

description: This data set contains tracks of Mesoscale convective systems (MCSs) in the Tibetan Plateau region (15 – 50 N, 60 – 120 E) based on collocated satellite precipitation estimates (GPM IMERG v06) and IR brightness temperatures (NCEP/CPC) for the period 2000 - 2019. Each annual .h5 file contains a table with the individual MCS features and their characteristics in each 30 minute time step. Features that were assigned to the same MCS track are denoted with the same cell number. The files contain identified MCS tracks from three different tracking methods that differ in their applied criteria: - <strong>tbb</strong>: 221 K over 50 000 km2 during at least 3 hours -<strong> cold core</strong>: 221 K over 50 000 km2 during at least 3 hours, brightness temperature drop below 200 K once during the MCS lifetime - <strong>heavy rain core</strong>: 221 K over 50 000 km2 during at least 3 hours, brightness temperature drop below 200 K once during the MCS lifetime, at least 10 % of the cloud area contain match with rain rates &gt; 5mm/h once during the MCS lifetime For scientific studies focusing on MCSs, it is recommended to use files from the combined tracking (Tracks_????_heavy_rain_core.h5), which assures that heavy rainfall is produced by the identified cloud features. <strong>Data sets for surface precipitation and brightness temperatures: </strong> - NCEP/CPC Brightness temperatures can be downloaded from https://\disc.gsfc.nasa.gov/datasets/GPM\ MERGIR\ V1/summary - - - GPM IMERG can be downloaded from https://disc.gsfc.nasa.gov/datasets/GPM 3IMERGHH 06/summary or from https://gpm.nasa.gov/data/directory <strong>Column names in .h5 files: </strong> <pre>'frame': timestep index in entire period 'idx': time step index in month 'hdim_1': center latitude index 'hdim_2': center longitude index 'num': feature number in month 'threshold_value': lowest brightness temperature of contiguous area that meets minimum area (50 000 km2) 'feature': unique feature ID 'time': times stamp 'timestr': time stamp as string 'latitude': center latitude 'longitude': center longitude 'ncells': size of feature in number of pixels 'cell': unique track ID 'time_cell': time with respect to MCS initiation 'rain_flag': number of pixels with rain rates &gt;= 5mm/h 'tp_flag': number of pixels within the 3000 m boundary of TP 'total_precip': sum of precipitation 'convective_precip': sum of precipitation from rain rates &gt;= 5mm/h 'mean_temp': mean brightness temperature of entire cloud feature </pre>
description: Contact: julia.kukulies@gu.se
DOI: 10.5281/zenodo.4767151
title: Mesoscale convective systems in the Tibetan Plateau region 2000 - 2019

description: This data set contains tracks of Mesoscale convective systems (MCSs) in the Tibetan Plateau region (15 – 50 N, 60 – 120 E) based on collocated satellite precipitation estimates (GPM IMERG v06) and IR brightness temperatures (NCEP/CPC) for the period 2000 - 2019. Each annual .h5 file contains a table with the individual MCS features and their characteristics in each 30 minute time step. Features that were assigned to the same MCS track are denoted with the same cell number. The files contain identified MCS tracks from three different tracking methods that differ in their applied criteria: - <strong>tbb</strong>: 221 K over 50 000 km2 during at least 3 hours -<strong> cold core</strong>: 221 K over 50 000 km2 during at least 3 hours, brightness temperature drop below 200 K once during the MCS lifetime - <strong>heavy rain core</strong>: 221 K over 50 000 km2 during at least 3 hours, brightness temperature drop below 200 K once during the MCS lifetime, at least 10 % of the cloud area contain match with rain rates &gt; 5mm/h once during the MCS lifetime For scientific studies focusing on MCSs, it is recommended to use files from the combined tracking (Tracks_????_heavy_rain_core.h5), which assures that heavy rainfall is produced by the identified cloud features. <strong>Data sets for surface precipitation and brightness temperatures: </strong> - NCEP/CPC Brightness temperatures can be downloaded from https://\disc.gsfc.nasa.gov/datasets/GPM\ MERGIR\ V1/summary - - - GPM IMERG can be downloaded from https://disc.gsfc.nasa.gov/datasets/GPM 3IMERGHH 06/summary or from https://gpm.nasa.gov/data/directory <strong>Column names in .h5 files: </strong> <pre>'frame': timestep index in entire period 'idx': time step index in month 'hdim_1': center latitude index 'hdim_2': center longitude index 'num': feature number in month 'threshold_value': lowest brightness temperature of contiguous area that meets minimum area (50 000 km2) 'feature': unique feature ID 'time': times stamp 'timestr': time stamp as string 'latitude': center latitude 'longitude': center longitude 'ncells': size of feature in number of pixels 'cell': unique track ID 'time_cell': time with respect to MCS initiation 'rain_flag': number of pixels with rain rates &gt;= 5mm/h 'tp_flag': number of pixels within the 3000 m boundary of TP 'total_precip': sum of precipitation 'convective_precip': sum of precipitation from rain rates &gt;= 5mm/h 'mean_temp': mean brightness temperature of entire cloud feature </pre>
description: Contact: julia.kukulies@gu.se
DOI: 10.6084/m9.figshare.14604586
title: Table S5 from Contemporary and historical selection in Tasmanian devils (<i>Sarcophilus harrisii</i>) support novel, polygenic response to transmissible cancer

description: Annotated Tasmanian devil gene IDs of within 1000 bp of SNPs in the top 1% of DCMS scores; i.e. candidates for contemporary selection.
DOI: 10.6084/m9.figshare.14604586.v1
title: Table S5 from Contemporary and historical selection in Tasmanian devils (<i>Sarcophilus harrisii</i>) support novel, polygenic response to transmissible cancer

description: Annotated Tasmanian devil gene IDs of within 1000 bp of SNPs in the top 1% of DCMS scores; i.e. candidates for contemporary selection.
DOI: 10.6084/m9.figshare.14604592
title: Table S6 from Contemporary and historical selection in Tasmanian devils (<i>Sarcophilus harrisii</i>) support novel, polygenic response to transmissible cancer

description: All PAML (16, 17) branch site test results for the 1,773 genes with inferred historical positive selection.
DOI: 10.6084/m9.figshare.14604592.v1
title: Table S6 from Contemporary and historical selection in Tasmanian devils (<i>Sarcophilus harrisii</i>) support novel, polygenic response to transmissible cancer

description: All PAML (16, 17) branch site test results for the 1,773 genes with inferred historical positive selection.