cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26066/rds.1972420
title: Pluviometer: Yala Ridge

description: This sensor measures precipitation volume and intensity with a bucket. Additionally, air temperature and snow height are recorded. It is located in Langtang Valley on the ridge between Kyanjing Ri and Yala Plateau. It is no longer operational.
DOI: 10.26066/rds.1972421
title: Tipping Bucket: Lama Hotel

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located below in the main Langtang Valley.
DOI: 10.26066/rds.1972422
title: Tipping Bucket: Kyanjing

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located below in the main Langtang Valley in Kyanjing Village. It is no longer operational.
DOI: 10.26066/rds.1972423
title: Tipping Bucket: Jathang

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located below in the main Langtang Valley. It is no longer operational.
DOI: 10.26066/rds.1972424
title: Tipping Bucket: Ganja La 3

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located below Ganja La Pass in Langtang Valley. It is part of a transsect of three sensors, between Kyanjing Village and High camp.
DOI: 10.26066/rds.1972425
title: Tipping Bucket: Ganja La 2

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located below Ganja La Pass in Langtang Valley. It is part of a transect of three sensors, between Kyanjing Village and High camp.
DOI: 10.26066/rds.1972426
title: Tipping Bucket: Lirung

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located in Langtang Valley on the left moraine of Lirung Glacier (looking up-valley) at a Yak pasture. It is no longer oprational.
DOI: 10.26066/rds.1972427
title: Tipping Bucket: Langtang Village

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located in Langtang Village in the main Langtang Valley. It is no longer operational.
DOI: 10.26066/rds.1972428
title: Tipping Bucket: Langshisha Pluvio

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located next to a large Pluviometer on the left moraine (looking up-valley) or Langshisha Glacier in the Langtang Valley. It is no longer operational.
DOI: 10.26066/rds.1972429
title: Tipping Bucket: Langshisha BC

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located in Langtang Valley between Langshisha and Shalbachum Glacier at the main Yak Pasture (also referred to as Langshisha Basecamp), west of a big erratic boulder.
DOI: 10.26066/rds.1972430
title: Tipping Bucket: Syafrubesi

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It was located at the hydropower plant in Syafru Besi but is no longer operational.
DOI: 10.26066/rds.1972431
title: Tipping Bucket: Shalbachum

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located on the right moraine of Shalbachum Glacier (looking up-valley) in the Langtang valley. It is part of a North-South transsect in Langtang Valley to better understand precipitation gradients locally.
DOI: 10.26066/rds.1972432
title: Tipping Bucket: Numthang old station

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located in the main Langtang Valley floor, located at an old Yak pasture. It is not operational anymore.
DOI: 10.26066/rds.1972433
title: Tipping Bucket: Numthang new station

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located in the main Langtang Valley floor, located at an old Yak pasture. Since 2019 it is not operational anymore.
DOI: 10.26066/rds.1972434
title: Tipping Bucket: Morimoto BC

description: This sensor measures precipitation volumes with the tipping technique, where each signal is a fixed volume of water. It is located next to Langtang Glacier on the lateral moraine in the Langtang Valley.
DOI: 10.21227/cjy1-6437
title: HoMG dataset

description: With the rapid development of augmented reality(AR) and virtual reality (VR) technology, human-computer interaction (HCI) has been greatly improved for gaming interaction of AR and VR control. The finger micro-gesture is a hot research focus due to the growth of the Internet of Things (IoT) and wearable technologies and recently Google has developed a radar based micro-gesture sensor which is Google Soli. Also, there are a number of finger micro-gesture techniques have been developed using Time of Flight (ToF) imaging sensors for wearable 3D glasses such as Atheer mobile glasses. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array, however, there is a limited progress of holoscopic 3D systems due to the lack of high quality public available database. In this paper, holoscopic 3D camera is used to capture high quality holoscopic 3D micro-gesture video images and a new unique holoscopic 3D micro-gesture (HoMG) database is produced. HoMG database recorded the image sequence of 3 conventional gestures from 40 participants under different settings and conditions. For the purpose of H3D micro-gesture recognition, HoMG has a video subset of 960 videos and a still image subset with 30635 images. Initial micro-gesture recognition on both subsets has been conducted using the traditional 2D image and video features and popular classifiers and some encouraging performance has been achieved. The database will be available for the research communities and speed up the research in the area of holoscopic 3D micro-gesture.
DOI: 10.21227/p8mx-9s88
title: HoMG dataset

description: With the rapid development of augmented reality(AR) and virtual reality (VR) technology, human-computer interaction (HCI) has been greatly improved for gaming interaction of AR and VR control. The finger micro-gesture is a hot research focus due to the growth of the Internet of Things (IoT) and wearable technologies and recently Google has developed a radar based micro-gesture sensor which is Google Soli. Also, there are a number of finger micro-gesture techniques have been developed using Time of Flight (ToF) imaging sensors for wearable 3D glasses such as Atheer mobile glasses. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array, however, there is a limited progress of holoscopic 3D systems due to the lack of high quality public available database. In this paper, holoscopic 3D camera is used to capture high quality holoscopic 3D micro-gesture video images and a new unique holoscopic 3D micro-gesture (HoMG) database is produced. HoMG database recorded the image sequence of 3 conventional gestures from 40 participants under different settings and conditions. For the purpose of H3D micro-gesture recognition, HoMG has a video subset of 960 videos and a still image subset with 30635 images. Initial micro-gesture recognition on both subsets has been conducted using the traditional 2D image and video features and popular classifiers and some encouraging performance has been achieved. The database will be available for the research communities and speed up the research in the area of holoscopic 3D micro-gesture.
DOI: 10.21227/bgct-dy18
title: HoMG dataset

description: With the rapid development of augmented reality(AR) and virtual reality (VR) technology, human-computer interaction (HCI) has been greatly improved for gaming interaction of AR and VR control. The finger micro-gesture is a hot research focus due to the growth of the Internet of Things (IoT) and wearable technologies and recently Google has developed a radar based micro-gesture sensor which is Google Soli. Also, there are a number of finger micro-gesture techniques have been developed using Time of Flight (ToF) imaging sensors for wearable 3D glasses such as Atheer mobile glasses. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array, however, there is a limited progress of holoscopic 3D systems due to the lack of high quality public available database. In this paper, holoscopic 3D camera is used to capture high quality holoscopic 3D micro-gesture video images and a new unique holoscopic 3D micro-gesture (HoMG) database is produced. HoMG database recorded the image sequence of 3 conventional gestures from 40 participants under different settings and conditions. For the purpose of H3D micro-gesture recognition, HoMG has a video subset of 960 videos and a still image subset with 30635 images. Initial micro-gesture recognition on both subsets has been conducted using the traditional 2D image and video features and popular classifiers and some encouraging performance has been achieved. The database will be available for the research communities and speed up the research in the area of holoscopic 3D micro-gesture.
DOI: 10.21227/91tg-ps57
title: HoMG dataset

description: With the rapid development of augmented reality(AR) and virtual reality (VR) technology, human-computer interaction (HCI) has been greatly improved for gaming interaction of AR and VR control. The finger micro-gesture is a hot research focus due to the growth of the Internet of Things (IoT) and wearable technologies and recently Google has developed a radar based micro-gesture sensor which is Google Soli. Also, there are a number of finger micro-gesture techniques have been developed using Time of Flight (ToF) imaging sensors for wearable 3D glasses such as Atheer mobile glasses. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array, however, there is a limited progress of holoscopic 3D systems due to the lack of high quality public available database. In this paper, holoscopic 3D camera is used to capture high quality holoscopic 3D micro-gesture video images and a new unique holoscopic 3D micro-gesture (HoMG) database is produced. HoMG database recorded the image sequence of 3 conventional gestures from 40 participants under different settings and conditions. For the purpose of H3D micro-gesture recognition, HoMG has a video subset of 960 videos and a still image subset with 30635 images. Initial micro-gesture recognition on both subsets has been conducted using the traditional 2D image and video features and popular classifiers and some encouraging performance has been achieved. The database will be available for the research communities and speed up the research in the area of holoscopic 3D micro-gesture.
DOI: 10.4225/08/5799819ae0d1c
title: Mean monthly shortwave radiation ratio modelled using the 1" DEM-S - 3" mosaic

description: Mean monthly solar radiation was modelled across Australia using topography from the 1 arcsecond resolution SRTM-derived DEM-S and climatic and land surface data. The SRAD model (Wilson and Gallant, 2000) was used to derive: • Incoming short-wave radiation on a sloping surface • Short-wave radiation ratio (shortwave on sloping surface / shortwave on horizontal surface) • Incoming long-wave radiation • Outgoing long-wave radiation • Net long-wave radiation • Net radiation • Sky view factor All radiation values are in MJ/m2/day except for short-wave radiation ratio which has no units. The sky view factor is the fraction of the sky visible from a grid cell relative to a horizontal plane. The radiation values are determined for the middle day of each month (14th or 15th) using long-term average atmospheric conditions (such as cloudiness and atmospheric transmittance) and surface conditions (albedo and vegetation cover). They include the effect of terrain slope, aspect and shadowing (for sun positions at 5 minute intervals from sunrise to sunset), direct and diffuse radiation and sky view. The monthly data in this collection are available at 3 arcsecond resolution as single (mosaicked) grids for Australia in TIFF format. The 3 arcsecond resolution versions of these radiation surfaces have been produced from the 1 arcsecond resolution surfaces, by aggregating the cells in a 3x3 window and taking the mean value. The 1 arcsecond tiled data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:9631 . The 1 arcsecond mosaic data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:18731
DOI: 10.21258/1648243
title: Inventario forestale nazionale svizzero - Tabella n. 897224
DOI: 10.21258/1657674
title: Inventario forestale nazionale svizzero - Tabella n. 898212
DOI: 10.21258/1629754
title: Inventario forestale nazionale svizzero - Tabella n. 897127
DOI: 10.4225/08/577b02e8cf646
title: Mean monthly outgoing surface longwave radiation modelled using the 1" DEM-S - 3" mosaic data

description: Mean monthly solar radiation was modelled across Australia using topography from the 1 arcsecond resolution SRTM-derived DEM-S and climatic and land surface data. The SRAD model (Wilson and Gallant, 2000) was used to derive: • Incoming short-wave radiation on a sloping surface • Short-wave radiation ratio (shortwave on sloping surface / shortwave on horizontal surface) • Incoming long-wave radiation • Outgoing long-wave radiation • Net long-wave radiation • Net radiation • Sky view factor All radiation values are in MJ/m2/day except for short-wave radiation ratio which has no units. The sky view factor is the fraction of the sky visible from a grid cell relative to a horizontal plane. The radiation values are determined for the middle day of each month (14th or 15th) using long-term average atmospheric conditions (such as cloudiness and atmospheric transmittance) and surface conditions (albedo and vegetation cover). They include the effect of terrain slope, aspect and shadowing (for sun positions at 5 minute intervals from sunrise to sunset), direct and diffuse radiation and sky view. The data in this collection are available at 3 arcsecond resolution as single (mosaicked) grids for Australia in TIFF format. The 3 arcsecond resolution versions of these radiation surfaces have been produced from the 1 arcsecond resolution surfaces, by aggregating the cells in a 3x3 window and taking the mean value. The 1 arcsecond tiled data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:18335 . The 1 arcsecond mosaic data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:9634
DOI: 10.6084/m9.figshare.13413563.v1
title: Ryan_McAnally_Keane_Wallis

description: Schizotypy Personality Questionnaire scores and perceptual span. Perceptual span is measured in pixels.
DOI: 10.6084/m9.figshare.13413563
title: Ryan_McAnally_Keane_Wallis

description: Schizotypy Personality Questionnaire scores and perceptual span. Perceptual span is measured in pixels.
DOI: 10.21258/1631608
title: Inventario forestale nazionale svizzero - Tabella n. 892834
DOI: 10.21258/1659176
title: Inventario forestale nazionale svizzero - Tabella n. 897324
DOI: 10.21258/1666353
title: Inventario forestale nazionale svizzero - Tabella n. 897873
DOI: 10.21258/1638203
title: Inventario forestale nazionale svizzero - Tabella n. 897428
DOI: 10.21258/1649984
title: Inventario forestale nazionale svizzero - Tabella n. 892008
DOI: 10.21258/1659098
title: Inventario forestale nazionale svizzero - Tabella n. 899425
DOI: 10.21258/1666079
title: Inventario forestale nazionale svizzero - Tabella n. 898707
DOI: 10.21258/1668609
title: Inventario forestale nazionale svizzero - Tabella n. 898964
DOI: 10.21258/1651692
title: Inventario forestale nazionale svizzero - Tabella n. 897869
DOI: 10.21258/1639184
title: Inventario forestale nazionale svizzero - Tabella n. 891894
DOI: 10.21258/1657898
title: Inventario forestale nazionale svizzero - Tabella n. 899456
DOI: 10.21258/1636891
title: Inventario forestale nazionale svizzero - Tabella n. 899613
DOI: 10.21258/1654761
title: Inventario forestale nazionale svizzero - Tabella n. 891878
DOI: 10.21258/1632387
title: Inventario forestale nazionale svizzero - Tabella n. 897117
DOI: 10.21258/1626398
title: Inventario forestale nazionale svizzero - Tabella n. 897133
DOI: 10.4225/08/57a922559bda3
title: Mean monthly total shortwave radiation on a sloping surface modelled using the 1" DEM-S - 3" mosaic

description: Mean monthly solar radiation was modelled across Australia using topography from the 1 arcsecond resolution SRTM-derived DEM-S and climatic and land surface data. The SRAD model (Wilson and Gallant, 2000) was used to derive: • Incoming short-wave radiation on a sloping surface • Short-wave radiation ratio (shortwave on sloping surface / shortwave on horizontal surface) • Incoming long-wave radiation • Outgoing long-wave radiation • Net long-wave radiation • Net radiation • Sky view factor All radiation values are in MJ/m2/day except for short-wave radiation ratio which has no units. The sky view factor is the fraction of the sky visible from a grid cell relative to a horizontal plane. The radiation values are determined for the middle day of each month (14th or 15th) using long-term average atmospheric conditions (such as cloudiness and atmospheric transmittance) and surface conditions (albedo and vegetation cover). They include the effect of terrain slope, aspect and shadowing (for sun positions at 5 minute intervals from sunrise to sunset), direct and diffuse radiation and sky view. The monthly data in this collection are available at 3 arcsecond resolution as single (mosaicked) grids for Australia in TIFF format. The 3 arc-second resolution versions of these radiation surfaces have been produced from the 1 arc-second resolution surfaces, by aggregating the cells in a 3x3 window and taking the mean value. The 1 arcsecond tiled data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:9530 . The 1 arcsecond mosaic data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:18851
DOI: 10.21258/1628222
title: Inventario forestale nazionale svizzero - Tabella n. 899608
DOI: 10.21258/1640838
title: Inventario forestale nazionale svizzero - Tabella n. 897619
DOI: 10.21258/1631849
title: Inventario forestale nazionale svizzero - Tabella n. 891790
DOI: 10.21258/1665609
title: Inventario forestale nazionale svizzero - Tabella n. 891841
DOI: 10.21258/1649236
title: Inventario forestale nazionale svizzero - Tabella n. 891917
DOI: 10.21258/1663149
title: Inventario forestale nazionale svizzero - Tabella n. 897993
DOI: 10.21258/1629695
title: Inventario forestale nazionale svizzero - Tabella n. 897225
DOI: 10.21258/1632417
title: Inventario forestale nazionale svizzero - Tabella n. 898171
DOI: 10.21258/1662214
title: Inventario forestale nazionale svizzero - Tabella n. 897766
DOI: 10.14457/cu.the.2019.32
title: The effect of a growth mindset intervention on underprivileged students’ English intelligence mindset and academic resilience with perceived English teacher support as a moderator

description: The main purposes of this study were to delve into the effects of a growth mindset intervention on underprivileged students’ growth mindset in English intelligence and academic resilience in English and into the mediating role of the growth mindset. Also, this research examined the moderating role of perceived English teacher support. Participants were 216 Mattayom 2 students from 2 schools in the Eastern region of Thailand (The second school served as a site for partial replication). Students from each school were systematically assigned into two groups based on their odd or even student identification numbers. The experimental conditions were randomly assigned to the two groups: one receiving brief English sessions and additional growth mindset fostering activities and the other receiving the same English teachings with additional activities of similar format but not related to a growth mindset. Participants responded to self-report measures of growth mindset in English intelligence and perceived English teacher support at pretest and measures of growth mindset in English intelligence and academic resilience in English at posttest. Statistical analyses revealed that both schools yielded similar results. That is, two-way mixed factorial ANOVA showed that there was a significant increase in the growth mindset in the treatment but not in the control group and independent t-test revealed that the treatment group also had significantly higher academic resilience than the other group. Mediation analysis presented that the growth mindset in English intelligence fully mediated the intervention effect on the resilience. However, moderated mediation analysis demonstrated that perceived English teacher support did not moderate the intervention. For the implications and applications of this present study, it is expected that this program will be applied to deliver to underprivileged students in other schools and contexts. Also, it is anticipated that students will put the ideas gained from the intervention into use and expand the growth mindset enkindled starting with the English subject to other subjects and other domains of intelligence and abilities in their lives, with high hopes that the mindset can in turn help students to academically bounce back from educational as well as personal adversities.
DOI: 10.14457/cu.the.2018.42
title: The effect of NAC and Carnosine on alzheimer’s disease-related in vitro model through RAGE-AGE signaling pathway

description: Alzheimer’s disease (AD) is the most common dementia which found increasing with age. It involves neurodegeneration which leads to various abnormalities especially memory loss, inability to learn new things, lack of creativity, lack of decision making ability, lack of critical thinking, calculation inability, inability to live normal daily life, inability to recognize person, time and place, emotional disturbance, and difficulty to use language. Since AD has severe impact in various aspects on both the patients and their families, so we are interested to study the neurodegenerative mechanism when neuronal cells are under oxidative stress which will induce neuroinflammation through the binding of advanced glycation endproducts (AGEs) and its receptor (receptor for advanced glycation end products; RAGE) via NF-kB and MAPK signaling pathway and integration of oxidative stress. We found that upon exposure of the optimized AGEs, RAGE expression was increased. In response to this activation, accumulation of ROS was also enhanced. The activation of nuclear factor-kappa B (NF-κB) which is a primary transcription factor that plays an important role in regulating cellular responses was triggered. Hence, pro-inflammatory cytokines including IL1β, IL6 and TNFα were increased. In addition, increase in program cell death is likely to follow this activation. In this study, Fimbristylis ovata (F. ovata) (petroleum ether and methanol extract) 100 μg/mL was found to be able to reduce superoxide radical. Moreover, F. ovata (dichloromethane and methanol extract) 100 μg/mL, NAC, and Carnosine were found to decrease MAPK activation and cell apoptosis (p&lt;0.05). In addition, F. ovata (petroleum ether, dichloromethane, and ethanol extract) and NAC were revealed to enhance NFκB translocation (p&lt;0.05).