cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25573/data.10042550.v5
title: Agua Salud, Celestino Tower_Net Radiation 1 of 3

description: Agua Salud Celestino Tower, Net RadiationLocation 9.21142N, 79.72656W<br>Parameters: <br> albedo (soil albedo), 0-1 (statistics calculated only for data between 7am and 5pm)<br> dnwlwr (down-welling long wave radiation), W/m2<br> dnwsr (down-welling short wave radiation), W/m2<br> netlwr (net long wave radiation), W/m2<br> netswr (net short wave radiation), W/m2<br> netrad (net radiation), W/m2<br> radt (radiometer temperature), C<br> rdnwlwr (raw down-welling long wave radiation), W/m2<br> rupwlwr (raw upwelling long wave radiation), W/m2<br> upwlwr (upwelling long wave radiation), W/m2<br> upwswr (upwelling short wave radiation), W/m2<br> soilt (soil temperature), C<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.5281/zenodo.3699560
title: The Difference in Satisfaction of Religious and Nonreligious Hospital Patients Who Received Chaplain Interventions

description: <strong>The Difference in Satisfaction of Religious and Nonreligious Hospital Patients Who Received Chaplain Interventions</strong> Chaplain interventions for nonreligious hospital patients are of interest regarding how they might impact satisfaction responses on the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. Though previous research indicated a relationship between chaplain visits and favorable survey responses in general, research had not yet addressed consideration for nonreligious patients specifically. The purpose of this quantitative causal-comparative study was to investigate the differences in satisfaction responses, if any, of religious and nonreligious patients in a large Midwest hospital who received chaplain interventions. Median HCAHPS responses, regarding the overall hospital rating, were not found statistically significantly different (<em>U</em> = 3078.500, <em>z</em> = -.450, <em>p</em> = .652). Likewise, median HCAHPS responses, regarding willingness to recommend to friends and family, were not found statistically significantly different (<em>U</em> = 3081.500,<em> z</em> = -.553,<em> p</em> = .580). The results of this research were consistent with an understanding that nonreligious patients benefit from chaplain interventions just as much as their religious counterparts.
description: This is the SPSS (v26) stratified sample data set for this study. All data have be de-identified according IRB and HIPAA requirements. These data include responses from pt records for HCAHPS questions 21 and 22, and include demographic information, race and gender.
DOI: 10.25573/data.10042550.v4
title: Agua Salud, Celestino Tower_Net Radiation 1 of 3

description: Agua Salud Celestino Tower, Net RadiationLocation 9.21142N, 79.72656W<br>Parameters: <br> albedo (soil albedo), 0-1 (statistics calculated only for data between 7am and 5pm)<br> dnwlwr (down-welling long wave radiation), W/m2<br> dnwsr (down-welling short wave radiation), W/m2<br> netlwr (net long wave radiation), W/m2<br> netswr (net short wave radiation), W/m2<br> netrad (net radiation), W/m2<br> radt (radiometer temperature), C<br> rdnwlwr (raw down-welling long wave radiation), W/m2<br> rupwlwr (raw upwelling long wave radiation), W/m2<br> upwlwr (upwelling long wave radiation), W/m2<br> upwswr (upwelling short wave radiation), W/m2<br> soilt (soil temperature), C<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.5281/zenodo.3699559
title: The Difference in Satisfaction of Religious and Nonreligious Hospital Patients Who Received Chaplain Interventions

description: <strong>The Difference in Satisfaction of Religious and Nonreligious Hospital Patients Who Received Chaplain Interventions</strong> Chaplain interventions for nonreligious hospital patients are of interest regarding how they might impact satisfaction responses on the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. Though previous research indicated a relationship between chaplain visits and favorable survey responses in general, research had not yet addressed consideration for nonreligious patients specifically. The purpose of this quantitative causal-comparative study was to investigate the differences in satisfaction responses, if any, of religious and nonreligious patients in a large Midwest hospital who received chaplain interventions. Median HCAHPS responses, regarding the overall hospital rating, were not found statistically significantly different (<em>U</em> = 3078.500, <em>z</em> = -.450, <em>p</em> = .652). Likewise, median HCAHPS responses, regarding willingness to recommend to friends and family, were not found statistically significantly different (<em>U</em> = 3081.500,<em> z</em> = -.553,<em> p</em> = .580). The results of this research were consistent with an understanding that nonreligious patients benefit from chaplain interventions just as much as their religious counterparts.
description: This is the SPSS (v26) stratified sample data set for this study. All data have be de-identified according IRB and HIPAA requirements. These data include responses from pt records for HCAHPS questions 21 and 22, and include demographic information, race and gender.
DOI: 10.25573/data.10042577.v4
title: Agua Salud, Celestino Tower_Net Radiation 2 of 3

description: Agua Salud Celestino Tower, Net RadiationLocation 9.21142N, 79.72656W<br>Parameters: <br> albedo (soil albedo), 0-1 (statistics calculated only for data between 7am and 5pm)<br> dnwlwr (down-welling long wave radiation), W/m2<br> dnwsr (down-welling short wave radiation), W/m2<br> netlwr (net long wave radiation), W/m2<br> netswr (net short wave radiation), W/m2<br> netrad (net radiation), W/m2<br> radt (radiometer temperature), C<br> rdnwlwr (raw down-welling long wave radiation), W/m2<br> rupwlwr (raw upwelling long wave radiation), W/m2<br> upwlwr (upwelling long wave radiation), W/m2<br> upwswr (upwelling short wave radiation), W/m2<br> soilt (soil temperature), C<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.25573/data.10042595.v5
title: Culebra_Wind Speed

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°Wind Speed, interval max/min/avg
DOI: 10.25573/data.10042595.v4
title: Culebra_Wind Speed

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°Wind Speed, interval max/min/avg
DOI: 10.25573/data.10042610.v4
title: Culebra_Air Temperature

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Temperature, interval max/min/avg<br>
DOI: 10.25573/data.10042598.v4
title: Culebra_Relative Humidity

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Relative Humidity, interval max/min/avg<br>
DOI: 10.25573/data.10042586.v4
title: Culebra_Precipitation

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Precipitation, interval total
DOI: 10.25573/data.10042604.v4
title: Culebra_Solar Radiation, Pyranometer

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Solar Radiation (Pyranometer), interval max/min/avg<br>
DOI: 10.25573/data.10042622.v4
title: Culebra_Wind Direction

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Wind Direction, interval mean vector, standard deviation<br>
DOI: 10.25573/data.10042643.v5
title: Galeta_Relative Humidity

description: Galeta Island marine laboratory. Pier Tower<br>Location: 9.402742°, -79.860837°<br>Relative Humidity, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042643.v4
title: Galeta_Relative Humidity

description: Galeta Island marine laboratory. Pier Tower<br>Location: 9.402742°, -79.860837°<br>Relative Humidity, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042625.v4
title: Galeta_Air Temperature

description: Galeta Island marine laboratory. Pier Tower<br>Location: 9.402742°, -79.860837°<br>Air Temperature, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042637.v4
title: Galeta_Water Temperature

description: Galeta Island marine laboratory. below Pier Tower <br>Location: 9.402742°, -79.860837°<br>Water Temperature, interval average<br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042637.v5
title: Galeta_Water Temperature

description: Galeta Island marine laboratory. below Pier Tower <br>Location: 9.402742°, -79.860837°<br>Water Temperature, interval average<br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042664.v4
title: Galeta_Precipitation

description: Galeta Island marine laboratory. <br>Location: 9.402742°, -79.860837°Location of gauge has change, but is currently located on the pier tower<br><br>Precipitation, interval total<br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042640.v4
title: Galeta_Wind Direction

description: Galeta Island marine laboratory. Pier Tower and ReefTwo sensors: pier tower and pylon on outer reef<br>Location: 9.402742°, -79.860837°<br>Wind direction, Interval mean vector and standard deviation<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042658.v4
title: Galeta_Wind Speed

description: Galeta Island marine laboratory. <br>Two sensors: pier tower and outer reef<br>Location: 9.402742°, -79.860837°<br>Wind Speed, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042649.v5
title: Galeta_Solar Radiation, Pyranometer

description: Galeta Island marine laboratory. Pier towerThree sensors: two sensors on tower (North and South), and one on outer reef (no longer active)<br>Location: 9.402742°, -79.860837°<br>Solar Radiation, Pyranometer, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042649.v4
title: Galeta_Solar Radiation, Pyranometer

description: Galeta Island marine laboratory. Pier towerThree sensors: two sensors on tower (North and South), and one on outer reef (no longer active)<br>Location: 9.402742°, -79.860837°<br>Solar Radiation, Pyranometer, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042718.v4
title: San Lorenzo Crane_Wind direction

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Interval mean wind vector<br><br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.25573/data.10042670.v4
title: San Lorenzo Crane_Solar Radiation, Pyranometer

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Solar Radiation, Pyranometer, interval max/min/avg<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.25573/data.10042679.v4
title: San Lorenzo Crane_Precipitation

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Precipitation, interval total<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.5281/zenodo.3975662
title: Observational studies on preventive measures and treatments for Covid-19

description: In the course of our PubMed searches and preprints from MedRxiv, we identified a number of observational studies on preventive measures and treatments for Covid-19 that we have included in our systematic review. This file is updated regularly.
DOI: 10.25573/data.10042688.v4
title: San Lorenzo Crane_Wind Speed

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Wind speed, interval max/min/avg<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.5281/zenodo.3975663
title: Protocols for RCTs on preventive measures and treatments for Covid-19

description: In the course of our PubMed searches and preprints from MedRxiv, we identified a number of protocols for RCTs on preventive measures and treatments for Covid-19. This file is updated regularly.
DOI: 10.25573/data.10042691.v4
title: San Lorenzo Crane_Relative Humidity

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Relative humidity, interval max/min/avg<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.34740/kaggle/dsv/1403659
title: US counties COVID 19 dataset
DOI: 10.5519/qd.1o2qx3bg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (0 records)
DOI: 10.18434/m32249
title: Smart Investment Tool

description: This tool calculates metrics for investment analysis documented in NIST Advanced manufacturing Series 200-5. It calculates net present value, internal rate of return, and payback period along with executing sensitivity analysis using Monte Carlo techniques. The tool helps to identify the most economical projects/investments. For instance, it could be used to identify the most economical heating and cooling system or it might be used to rank a set of potential investments.
DOI: 10.25387/g3.12344138
title: Supplemental Material for Bhati et al., 2020

description: Data associated with revised manuscript submitted to G3 - G3/2019/400794.<br>This data includes original figures and supplementary information.
DOI: 10.25387/g3.12344138.v2
title: Supplemental Material for Bhati et al., 2020

description: Data associated with revised manuscript submitted to G3 - G3/2019/400794.<br>This data includes original figures and supplementary information.
DOI: 10.25387/g3.12344138.v1
title: Supplemental Material for Bhati et al., 2020

description: Data associated with revised manuscript submitted to G3 - G3/2019/400794.<br>This data includes original figures and supplementary information.
DOI: 10.5281/zenodo.3404147
title: Supplementary material to the manuscript: Regionalised Heat Demand and Power-To-Heat Capacities in Germany - An Open Data Set for Assessing Renewable Energy Integration

description: This is the supplementary material for the manuscript: "Regionalised Heat Demand and Power-To-Heat Capacities in Germany - an Open Data Set for Assessing Renewable Energy Integration" Article DOI: https://doi.org/10.1016/j.apenergy.2019.114161 Open access preprint: https://arxiv.org/abs/1912.03763 <strong>DESCRIPTION OF THE DATASET AND LICENSES:</strong> The subdirectory "04_results" contains the regionalised heat demand an power-to-heat capacity data on administrative district level (NUTS-3) for Germany. The subdirectories "01_census_special_evaluation_data" and "02_other_input_data" contain the utilised input data. The subdirectory "03_code" contains the developed and applied source code. The data in this repository are provided under open source licenses. For license information and other general information on the supplementary material, refer to the LICENSE files and README files in the respective subdirectories. For a detailed description of the approach developed by the author, the input data used and the generated results, refer to the manuscript "Regionalised Heat Demand and Power-To-Heat Capacities in Germany - an Open Data Set for Assessing Renewable Energy Integration". <strong>METADATA:</strong> Sector: Residential Buildings – Space Heating and Domestic Hot Water Geographical scope: Germany Geographical resolution: Administrative districts (NUTS-3) Temporal scope: 2011, three scenarios for 2030 Temporal resolution: 15min <strong>UNITS:</strong> In the final results folders (04_results/01_installed_heating_p2h_capacity; 04_results/02_daily_time_series; 04_results/03_yearly_time_series) the units of the data are indicated in the file names or the column names, e.g. by "in_MW". In case of unit indication in the file name, the unit refers to all columns in the file. In the intermediate results folder (04_results/00_sql_tables_exported_to_csv) all units referring to power are "kW" and all units referring to energy are "kWh". <strong>NEWS AND CONTACT:</strong> This dataset will be used as part of the region4FLEX model. We are currently enhancing the data by temporally and spatially resolved COP time series and determining load shifting potentials. If you wish to receive news or have general questions please contact: wilko.heitkoetter@dlr.de.
description: {"references": ["Heitkoetter, Wilko, et al. \"Regionalised heat demand and power-to-heat capacities in Germany\u2013An open dataset for assessing renewable energy integration.\" Applied Energy (2019): 114161."]}
DOI: 10.5281/zenodo.2650200
title: Supplementary material to the manuscript: Regionalised Heat Demand and Power-To-Heat Capacities in Germany - An Open Data Set for Assessing Renewable Energy Integration

description: This is the supplementary material for the manuscript: "Regionalised Heat Demand and Power-To-Heat Capacities in Germany - an Open Data Set for Assessing Renewable Energy Integration" Article DOI: https://doi.org/10.1016/j.apenergy.2019.114161 Open access preprint: https://arxiv.org/abs/1912.03763 <strong>DESCRIPTION OF THE DATASET AND LICENSES:</strong> The subdirectory "04_results" contains the regionalised heat demand an power-to-heat capacity data on administrative district level (NUTS-3) for Germany. The subdirectories "01_census_special_evaluation_data" and "02_other_input_data" contain the utilised input data. The subdirectory "03_code" contains the developed and applied source code. The data in this repository are provided under open source licenses. For license information and other general information on the supplementary material, refer to the LICENSE files and README files in the respective subdirectories. For a detailed description of the approach developed by the author, the input data used and the generated results, refer to the manuscript "Regionalised Heat Demand and Power-To-Heat Capacities in Germany - an Open Data Set for Assessing Renewable Energy Integration". <strong>METADATA:</strong> Sector: Residential Buildings – Space Heating and Domestic Hot Water Geographical scope: Germany Geographical resolution: Administrative districts (NUTS-3) Temporal scope: 2011, three scenarios for 2030 Temporal resolution: 15min <strong>UNITS:</strong> In the final results folders (04_results/01_installed_heating_p2h_capacity; 04_results/02_daily_time_series; 04_results/03_yearly_time_series) the units of the data are indicated in the file names or the column names, e.g. by "in_MW". In case of unit indication in the file name, the unit refers to all columns in the file. In the intermediate results folder (04_results/00_sql_tables_exported_to_csv) all units referring to power are "kW" and all units referring to energy are "kWh". <strong>NEWS AND CONTACT:</strong> This dataset will be used as part of the region4FLEX model. We are currently enhancing the data by temporally and spatially resolved COP time series and determining load shifting potentials. If you wish to receive news or have general questions please contact: wilko.heitkoetter@dlr.de.
description: {"references": ["Heitkoetter, Wilko, et al. \"Regionalised heat demand and power-to-heat capacities in Germany\u2013An open dataset for assessing renewable energy integration.\" Applied Energy (2019): 114161."]}
DOI: 10.5517/ccdc.csd.cc25195q
title: CCDC 1997242: Experimental Crystal Structure Determination

description: Related Article: P. Prabukanthan|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc251bl5
title: CCDC 1997286: Experimental Crystal Structure Determination

description: Related Article: Olivier Blacque, Shiva F. Taghipourian, Heinz Berke|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc251fnb
title: CCDC 1997381: Experimental Crystal Structure Determination

description: Related Article: Maksim V. Dmitriev, Vladimir L. Gein, Olga V. Bobrovskaya|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc251gxm
title: CCDC 1997420: Experimental Crystal Structure Determination

description: Related Article: René T. Boeré|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc259lfj
title: CCDC 2005217: Experimental Crystal Structure Determination

description: Related Article: Xueer Zhou, Petra Vasko, Jamie Hicks, M. Ángeles Fuentes, Andreas Heilmann, Eugene L. Kolychev, Simon Aldridge|2020|Dalton Trans.|49|9495|doi:10.1039/D0DT01960G
DOI: 10.5517/ccdc.csd.cc259lgk
title: CCDC 2005218: Experimental Crystal Structure Determination

description: Related Article: Xueer Zhou, Petra Vasko, Jamie Hicks, M. Ángeles Fuentes, Andreas Heilmann, Eugene L. Kolychev, Simon Aldridge|2020|Dalton Trans.|49|9495|doi:10.1039/D0DT01960G
DOI: 10.5517/ccdc.csd.cc259lhl
title: CCDC 2005219: Experimental Crystal Structure Determination

description: Related Article: Xueer Zhou, Petra Vasko, Jamie Hicks, M. Ángeles Fuentes, Andreas Heilmann, Eugene L. Kolychev, Simon Aldridge|2020|Dalton Trans.|49|9495|doi:10.1039/D0DT01960G
DOI: 10.5281/zenodo.3975760
title: Data for "Compact SQUID realized in a double layer graphene heterostructure"

description: This dataset contains the measurement data and its metadata of the publication "Compact SQUID realized in a double layer graphene heterostructure".
DOI: 10.5281/zenodo.3886696
title: Data for "Compact SQUID realized in a double layer graphene heterostructure"

description: This dataset contains the measurement data and its metadata of the publication "Compact SQUID realized in a double layer graphene heterostructure".