cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/uuid:a946eca5-0901-4a09-a95a-0c028a6b1853
title: Thermal energy balance model of a fiber-optic cable; data from a shallow urban pond, Delft

description: Model results for the heating of a fiber-optic cable, to study the heating effect of the PVC tube around which the cable is wrapped to a coil. Input data: - incoming short-wave radiation; - air temperatures (to compute outgoing long-wave radiation and direct heat transfer to the air); - wind speed (to compute heat transport by the hot wire anemometer principle). Output data: - temperatures of the glass fiber inside the cable. Glass fiber temperatures are modeled for a cable that is adhered to a PVC tube and a cable in free air. The differences between both temperatures are compared to actual measurements of the glass fiber temperatures obtained by fiber-optic Distributed Temperature Sensing.
DOI: 10.4121/uuid:68cf7da2-30dd-4a5c-8a93-366cf30a4358
title: Modeling Flow in Naturally Fractured Reservoirs: Effect of Fracture Aperture Distribution on Dominant Sub-Network for Flow

description: This dataset includes additional figures for the study of "Modeling Flow in Naturally Fractured Reservoirs: Effect of Fracture Aperture Distribution on Dominant Sub-Network for Flow" Fracture network connectivity and aperture (or conductivity) distribution are two crucial features controlling the flow behavior of naturally fractured reservoirs. The effect of connectivity on flow properties is well documented. We focus here on the influence of fracture aperture distribution. We model a two-dimensional fractured reservoir in which the matrix is impermeable and the fractures are well-connected. The fractures obey a power-law length distribution, as observed in natural fracture networks. For the aperture distribution, since the information from subsurface fracture networks is limited, we test a number of cases: log-normal distributions (from narrow to broad), power-law distributions (from narrow to broad), and one case where the aperture is proportional to the fracture length. We find that even a well-connected fracture network can behave like a much sparser network when the aperture distribution is broad enough ( ≤ 2 for power-law aperture distributions and ≥ 0.4 for log-normal aperture distributions). Specifically, most fractures can be eliminated leaving the remaining dominant sub-network with 90% of the permeability of the original fracture network. We determine how broad the aperture distribution must be to approach this behavior and the dependence of the dominant sub-network on the parameters of the aperture distribution. We also explore whether one can identify the dominant sub-network without doing flow calculations
DOI: 10.4121/uuid:1c6fd774-7e93-4991-bae0-713997b58e29
title: Hotterdam Physical Heat Map

description: Method: The map identifies the social features that have been identified in previous research projects as possible causes of heat-related problems. Regression analysis was used to establish which of these are statistically significant: imperviousness, surface water, foliage (leaf area index), building envelopes and shade. A cluster analysis of these features was carried out. This analysis was used to identify and group the links between features. Results: The result is eight clusters (or typologies) Parent item: Hotterdam: Urban heat in Rotterdam and health effects Heat waves will occur in Rotterdam with greater frequency in the future. Those affected most will be the elderly – a group that is growing in size. In the light of the Paris heat wave of August 2003 and the one in Rotterdam in July 2006, mortality rates among the elderly in particular are likely to rise in the summer. The aim of the Hotterdam research project was to gain a better understanding of urban heat. Heat was measured and the surface energy balance modelled from that perspective. Social and physical features of the city were identified in detail with the help of satellite images, GIS and 3D models. The links between urban heat/surface energy balance and the social/physical features of Rotterdam were determined on the basis of multivariable regression analysis. The decisive features of the heat problem were then clustered and illustrated on a social and a physical heat map. The research project produced two heat maps, an atlas of underlying data.
DOI: 10.4121/uuid:8e68fa44-3265-4cc6-8255-20edc35aceb0
title: Hotterdam physical characteristics

description: This dataset contains all variables that were used to calculate the physical heat cluster map of Hotterdam. Parent item: Hotterdam: Urban heat in Rotterdam and health effects Heat waves will occur in Rotterdam with greater frequency in the future. Those affected most will be the elderly – a group that is growing in size. In the light of the Paris heat wave of August 2003 and the one in Rotterdam in July 2006, mortality rates among the elderly in particular are likely to rise in the summer. The aim of the Hotterdam research project was to gain a better understanding of urban heat. Heat was measured and the surface energy balance modelled from that perspective. Social and physical features of the city were identified in detail with the help of satellite images, GIS and 3D models. The links between urban heat/surface energy balance and the social/physical features of Rotterdam were determined on the basis of multivariable regression analysis. The decisive features of the heat problem were then clustered and illustrated on a social and a physical heat map. The research project produced two heat maps, an atlas of underlying data.
DOI: 10.4121/uuid:faf0c935-d7ea-4d93-b3b2-24c273835976
title: Hotterdam Vulnerability Cluster

description: Method: The atlas identifies the social features that have been designated in previous research projects as possible causes of heat-related problems. Hierarchical multiple regression analyses were used to establish which of these are statistically significant in the case of Rotterdam: the number of those aged 75 and over per hectare, the average age of the buildings, the sum of sensible heat and ground heat flux. A cluster analysis was used to identify the links between these features. Results: This results in six clusters (or typologies) that are shown here on the map with different colours, together with a table explaining the underlying values. Parent item: Hotterdam: Urban heat in Rotterdam and health effects Heat waves will occur in Rotterdam with greater frequency in the future. Those affected most will be the elderly – a group that is growing in size. In the light of the Paris heat wave of August 2003 and the one in Rotterdam in July 2006, mortality rates among the elderly in particular are likely to rise in the summer. The aim of the Hotterdam research project was to gain a better understanding of urban heat. Heat was measured and the surface energy balance modelled from that perspective. Social and physical features of the city were identified in detail with the help of satellite images, GIS and 3D models. The links between urban heat/surface energy balance and the social/physical features of Rotterdam were determined on the basis of multivariable regression analysis. The decisive features of the heat problem were then clustered and illustrated on a social and a physical heat map. The research project produced two heat maps, an atlas of underlying data.
DOI: 10.4121/uuid:6b776a97-280c-43c3-a015-7509d2255330
title: Forest related variables covering all of Bolivia in a 10x10 km grid

description: A 10 by 10 km gridded dataset of forest related variables covering all of Bolivia. Carbon contents, CO2 emission and regeneration of 9 forest areas in Bolivia: Amazon forest, Chaco forest, Chiquitano forest, Yungas forest, Tucumano forest, Flooded forest, Pantanal forest, Dry inter-Andean forest, Andean forest.
DOI: 10.4121/uuid:363c6b7d-09dc-4a96-8d19-3eaa6b9a7841
title: Stream restoration and sanitary infrastructure alter sources and fluxes of water, carbon, and nutrients in urban watersheds - synthesis file

description: This data is for the paper published in the Journal Hydrology and Earth System Sciences titled: "Stream restoration and sanitary infrastructure alter sources and fluxes of water, carbon, and nutrients in urban watersheds." It is based on the work from the second chapter of the author’s PhD Dissertation. Data was collected from 4 streams every 2-4 weeks in the Baltimore, MD area from 2010-2012 at Stream Gauge Locations: Minebank Run, Powder Mill Run, and Dead Run are gauged by the U.S. Geological Survey (USGS gage numbers 0158397967, 01589305, and 01589330, respectively), while Red Run is gauged by the University of Maryland, Baltimore County Center for Urban Environmental Research and Education. Daily Stream Flow and stream samples were used to estimate Daily loads using USGS LOADEST. Samples were analyzed for carbon, nitrogen, phosphorus and other ions. Samples were analyzed for carbon quality metrics and nitrate isotopes.
DOI: 10.4121/uuid:ad6762f8-d652-4ade-a329-a78196a40262
title: Wrench Measurements on a Spatial, Passive, 2-DoF Parallel Mechanism with Two End-Effectors

description: This data-set was collected as part of two validation activities. The first is an experimental validation of a Jacobian analysis. The second is the experimental validation of a Jacobian-based stiffness analysis for parallel manipulators with two end-effectors and non-redundant legs. Measurements have been performed over the workspace of a passive spatial 2-DoF mechanism with two end-effectors. The mechanism has two RRR legs and one RRRR leg, which are connected to the base and where each second revolute joint was implemented as a compliant joint. In addition two RRR chains internally connect the two end-effectors and the terminal links of the three legs. The dataset is stored as a tab-delimited ASCII file. The dataset consists of 6-D wrench measurements on both the first end-effector (EE1) and the second end-effector (EE2). As such, the resulting 12-dimensional measurement vectors contain the moment components m_{x,EE1}, m_{y,EE1}, m_{z,EE1}, the force components f_{x,EE1}, f_{y,EE1}, f_{z,EE1}, the moment components m_{x,EE2}, m_{y,EE2}, m_{z,EE2}, and the force components f_{x,EE2}, f_{y,EE2}, f_{z,EE2}. The data has been separated in six subsets of measurements, where each subset is marked by a letter in the first column. Each subset consists of ten arrays, where the first array describes the wrench measurements at a reference pose, followed by nine arrays that describe the planar wrench measurements at a various dispalcements, namely 1) a -5 (minus five) mm displacement of EE1 along the X-axis and a 5 mm displacement of EE2 along the X-axis, 2) a 5 mm displacement of both EE1 and EE2 along Z-axis, 3) a 5 mm displacement of only EE2 along the X-axis, 4) a 5 mm displacement of both EE1 and EE2 along the X-axis, 5) a 5 mm displacement of EE2 along the Y-axis, 6) a 5 mm displacement of both EE1 and EE2 along the Y-axis, 7) a 5 mm displacement of EE2 along the Z-axis, 8) a 1/8 rad rotation of EE2 around its local Z-axis, and 9) a 1/8 rad rotation of both EE1 and EE2 around their local Z-axis in combination with a pose-dependent displacement of both end-effectors along the Y-axis. The pose of the mechanism was set manually, using a calliper, with estimated accuracies of 1/80 [rad] and 1/2000 [m] respectively. For each measurement, the pose of EE1 is defined by theta_{EE1}, p_{x,EE1}, p_{y,EE1}, and p_{z,EE1}, while that of EE2 is defined by theta_{EE2}, p_{x,EE2}, p_{y,EE2}, and p_{z,EE2}. Wrench measurements were performed using an ATI mini40 sensor with SI-40-2 calibration, with maximum resolution of 1/4000 [Nm] and 1/100 [N] respectively. Parent item: Wrench Measurements on a Planar, Passive, 4-DoF Parallel Mechanism with Two End-Effectors and a Spatial, Passive, 2-DoF Parallel Mechanism with Two End-Effectors Data collected as part of the experimental validation of a Jacobian analysis of a parallel mechanism with two end-effectors, as well as the experimental validation of a Jacobian-based stiffness analysis for parallel manipulators with two end-effectors.
DOI: 10.4121/uuid:00cdb201-bb34-427b-b7d3-0fddc7c83067
title: IDRA weather radar measurements - day 2015-06-17

description: Radar range: standard. Max rain level: moderate rain. Parent item: IDRA weather radar measurements - month 2015-06 Measuring instrument: IDRA atmospheric radar in CESAR observatory, Cabauw IRCTR has built a high resolution radar system, IDRA (IRCTR Drizzle Radar), aimed at the detailed observation of the spatial and temporal distribution of rainfall and drizzle. The system was placed at the end of August 2007 on top of a 213 m high meteorological tower in the CESAR (Cabauw Experimental Site for Atmospheric Research) observatory in Cabauw, The Netherlands. This location has several advantages: In the first place, an increased sensitivity due to the reduction of the influence of ground clutter. Secondly, it allows direct observation of the horizontal distribution of low level clouds and fog. Finally, the presence of other instruments in the vicinity enhances the understanding of the physical processes in the atmosphere by synergistically combining their measurements. Data from other instruments at CESAR are available at {http://www.cesar-database.nl}. IDRA provides the horizontal distribution of reflectivity, mean Doppler velocity, Doppler spectrum width and polarimetric parameters like differential reflectivity, linear depolarization ratio or specific differential phase. The data collected is freely available to the scientific community.
DOI: 10.4121/uuid:d40eaac1-08aa-42ef-9c14-fae37d38e131
title: Wrench Measurements on a Planar, Passive, 4-DoF Parallel Mechanism with Two End-Effectors

description: This data-set was collected as part of the experimental validation of a Jacobian-based stiffness analysis for parallel manipulators with two end-effectors and non-redundant legs. Measurements have been performed over the workspace of a passive planar 4-DoF mechanism with two end-effectors. The mechanism has four RPR legs, which are connected to the base, while in addition two RRR chains internally connect the two end-effectors and the terminal links of the three legs. The mechanism is described as 4-DoF, because rotation of both end-effectors is not considered. This rotation is free due to the collocation of joints at the end-effector, which means that no moments can be applied on the end-effectors by the mechanism. Rotation was therefore not considered in the analysis. The dataset is stored as a tab-delimited ASCII file. The dataset consists of planar force measurements on both the first end-effector (EE1) and the second end-effector (EE2). As such, the resulting 4-dimensional measurement vectors contain the force components, f_{x,EE1}, f_{y,EE1}, f_{x,EE2} and f_{y,EE2}. The data has been separated in six subsets of measurements, where each subset is marked by a letter in the first column. Each subset consists of five arrays, where the first array describes the force measurement at a reference pose, followed by four arrays that describe the planar wrench measurements at a 5 mm displacement of the first end-effector (EE1) along the X-axis, a 5 mm displacement of the second end-effector (EE2) along X-axis, a 5 mm displacement of EE1 along the Y-axis, and a 5 mm displacement of EE2 along the Y-axis respectively. The pose of the mechanism was set manually, using a calliper, with estimated accuracies of 1/80 [rad] and 1/2000 [m] respectively. The pose of EE1 is defined by p_{x,EE1} and p_{y,EE1}, while that of EE2 is defined by p_{x,EE2} and p_{y,EE2}. Rotation of both end-effectors was held constant at zero degrees so that the measurement frame was aligned with the inertial frame. Wrench measurements were performed using an ATI mini40 sensor with SI-40-2 calibration, with maximum resolution of 1/4000 [Nm] and 1/100 [N] respectively. Parent item: Wrench Measurements on a Planar, Passive, 4-DoF Parallel Mechanism with Two End-Effectors and a Spatial, Passive, 2-DoF Parallel Mechanism with Two End-Effectors Data collected as part of the experimental validation of a Jacobian analysis of a parallel mechanism with two end-effectors, as well as the experimental validation of a Jacobian-based stiffness analysis for parallel manipulators with two end-effectors.
DOI: 10.4121/uuid:00cfb6b6-7457-4ce9-b007-baf9580a1406
title: IDRA weather radar measurements - day 2015-08-20

description: Radar range: standard. Max rain level: weak rain. Parent item: IDRA weather radar measurements - month 2015-08 Measuring instrument: IDRA atmospheric radar in CESAR observatory, Cabauw IRCTR has built a high resolution radar system, IDRA (IRCTR Drizzle Radar), aimed at the detailed observation of the spatial and temporal distribution of rainfall and drizzle. The system was placed at the end of August 2007 on top of a 213 m high meteorological tower in the CESAR (Cabauw Experimental Site for Atmospheric Research) observatory in Cabauw, The Netherlands. This location has several advantages: In the first place, an increased sensitivity due to the reduction of the influence of ground clutter. Secondly, it allows direct observation of the horizontal distribution of low level clouds and fog. Finally, the presence of other instruments in the vicinity enhances the understanding of the physical processes in the atmosphere by synergistically combining their measurements. Data from other instruments at CESAR are available at {http://www.cesar-database.nl}. IDRA provides the horizontal distribution of reflectivity, mean Doppler velocity, Doppler spectrum width and polarimetric parameters like differential reflectivity, linear depolarization ratio or specific differential phase. The data collected is freely available to the scientific community.
DOI: 10.4121/uuid:02085465-e9a8-4442-839b-115cc3f3eb83
title: IDRA weather radar measurements - day 2015-07-04

description: Radar range: standard. Max rain level: weak rain. Parent item: IDRA weather radar measurements - month 2015-07 Measuring instrument: IDRA atmospheric radar in CESAR observatory, Cabauw IRCTR has built a high resolution radar system, IDRA (IRCTR Drizzle Radar), aimed at the detailed observation of the spatial and temporal distribution of rainfall and drizzle. The system was placed at the end of August 2007 on top of a 213 m high meteorological tower in the CESAR (Cabauw Experimental Site for Atmospheric Research) observatory in Cabauw, The Netherlands. This location has several advantages: In the first place, an increased sensitivity due to the reduction of the influence of ground clutter. Secondly, it allows direct observation of the horizontal distribution of low level clouds and fog. Finally, the presence of other instruments in the vicinity enhances the understanding of the physical processes in the atmosphere by synergistically combining their measurements. Data from other instruments at CESAR are available at {http://www.cesar-database.nl}. IDRA provides the horizontal distribution of reflectivity, mean Doppler velocity, Doppler spectrum width and polarimetric parameters like differential reflectivity, linear depolarization ratio or specific differential phase. The data collected is freely available to the scientific community.
DOI: 10.4121/uuid:04ed5e91-6cad-4b64-bc0b-5fcdba93cbdf
title: IDRA weather radar measurements - day 2015-06-06

description: Radar range: standard. Max rain level: moderate rain. Parent item: IDRA weather radar measurements - month 2015-06 Measuring instrument: IDRA atmospheric radar in CESAR observatory, Cabauw IRCTR has built a high resolution radar system, IDRA (IRCTR Drizzle Radar), aimed at the detailed observation of the spatial and temporal distribution of rainfall and drizzle. The system was placed at the end of August 2007 on top of a 213 m high meteorological tower in the CESAR (Cabauw Experimental Site for Atmospheric Research) observatory in Cabauw, The Netherlands. This location has several advantages: In the first place, an increased sensitivity due to the reduction of the influence of ground clutter. Secondly, it allows direct observation of the horizontal distribution of low level clouds and fog. Finally, the presence of other instruments in the vicinity enhances the understanding of the physical processes in the atmosphere by synergistically combining their measurements. Data from other instruments at CESAR are available at {http://www.cesar-database.nl}. IDRA provides the horizontal distribution of reflectivity, mean Doppler velocity, Doppler spectrum width and polarimetric parameters like differential reflectivity, linear depolarization ratio or specific differential phase. The data collected is freely available to the scientific community.
DOI: 10.4121/uuid:081daff3-5b51-4dd4-971f-6da1f678b441
title: IDRA weather radar measurements - day 2015-07-16

description: Radar range: standard. Max rain level: moderate rain. Parent item: IDRA weather radar measurements - month 2015-07 Measuring instrument: IDRA atmospheric radar in CESAR observatory, Cabauw IRCTR has built a high resolution radar system, IDRA (IRCTR Drizzle Radar), aimed at the detailed observation of the spatial and temporal distribution of rainfall and drizzle. The system was placed at the end of August 2007 on top of a 213 m high meteorological tower in the CESAR (Cabauw Experimental Site for Atmospheric Research) observatory in Cabauw, The Netherlands. This location has several advantages: In the first place, an increased sensitivity due to the reduction of the influence of ground clutter. Secondly, it allows direct observation of the horizontal distribution of low level clouds and fog. Finally, the presence of other instruments in the vicinity enhances the understanding of the physical processes in the atmosphere by synergistically combining their measurements. Data from other instruments at CESAR are available at {http://www.cesar-database.nl}. IDRA provides the horizontal distribution of reflectivity, mean Doppler velocity, Doppler spectrum width and polarimetric parameters like differential reflectivity, linear depolarization ratio or specific differential phase. The data collected is freely available to the scientific community.
DOI: 10.4121/uuid:0a3e1542-480d-4382-9a55-65bc773669ac
title: IDRA weather radar measurements - day 2015-06-01

description: Radar range: standard. Max rain level: moderate rain. Parent item: IDRA weather radar measurements - month 2015-06 Measuring instrument: IDRA atmospheric radar in CESAR observatory, Cabauw IRCTR has built a high resolution radar system, IDRA (IRCTR Drizzle Radar), aimed at the detailed observation of the spatial and temporal distribution of rainfall and drizzle. The system was placed at the end of August 2007 on top of a 213 m high meteorological tower in the CESAR (Cabauw Experimental Site for Atmospheric Research) observatory in Cabauw, The Netherlands. This location has several advantages: In the first place, an increased sensitivity due to the reduction of the influence of ground clutter. Secondly, it allows direct observation of the horizontal distribution of low level clouds and fog. Finally, the presence of other instruments in the vicinity enhances the understanding of the physical processes in the atmosphere by synergistically combining their measurements. Data from other instruments at CESAR are available at {http://www.cesar-database.nl}. IDRA provides the horizontal distribution of reflectivity, mean Doppler velocity, Doppler spectrum width and polarimetric parameters like differential reflectivity, linear depolarization ratio or specific differential phase. The data collected is freely available to the scientific community.