cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25573/data.10059536.v22
title: Monthly summary_Parque Natural Metropolitano Crane

description: The original station was located on the side of the tower at approximately 25m. Some sensors were later moved to the top of the tower.In 2021 the original crane was dismantled and replaced with a new, 45m crane in Jan. 2022. The temperature and humidity were moved to the top of the crane. An anemometer was mounted near just below the crane boom. Monthly and daily summaries from Parque Natural Metropolitano (PNM) crane station.<br> Location: 8.994410°, - 79.543000° <br> Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer) <br> Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. The crane is 42 meters tall.<br> Yearly climate summaries for the Smithsonian Tropical Research Institute's Physical Monitoring Program Parque Natural Metropolitano (PNM) Crane Station. Established in 1995, the PNM canopy crane (8.994410°, - 79.543000°) is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. The original crane was 42 meters tall with a radius of 51 meters.<br> <br> In 2021 the original crane was dismantled and replaced with a new, 68m crane in Jan. 2022. The temperature and humidity were moved to the top of the crane. An anemometer was mounted near just below the crane boom. <br>
DOI: 10.25573/data.10059530.v31
title: Monthly summary_Galeta Station

description: Monthly and daily summary from Galeta Island marine laboratory<br>Location: 9.402742°, -79.860837°<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer)<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.10059518.v31
title: Monthly summary_San Lorenzo Crane

description: Monthly and daily summaires from the San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer)<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.10059476.v25
title: Monthly summary_Fortuna Station

description: Monthly and daily summary from the Fortuna Station (Centro de Investigaciones Jorge L. Arauz)<br>Location: 8° 43.340'N, 82° 14.241'W<br>Parameters: air temperature, wind speed and direction, precipitation, solar radiation (pyranometer)<br>Located in the highlands of the Chiriqui Province, in western Panama.There are three sensor locations: north clearing, south clearing, and a 15m tower.<br>
DOI: 10.25573/data.10059470.v29
title: Monthly summary_Culebra Station Tower

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer)
DOI: 10.25573/data.10059467.v31
title: Monthly summary_Agua Salud, Celestino Tower

description: Monthly and daily summaries from the Agua Salud Celestino Tower. <br>Location 9.21142N, 79.72656W<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer, photosynthetically active radiation), soil moisture, net radiation, air pressure, evapotranspiration<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.10059464.v32
title: Monthly summary_Bocas Station

description: Monthly and daily summary from the Bocas del Toro Research StationLocation: 9.351553°, -82.256565°<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, dissolved oxygen, turbidity, salinity, pH<br><br>Sensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes meteorological tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.
DOI: 10.25573/data.10059461.v32
title: Monthly summary_AVA Tower

description: Barro Colorado Island, AVA tower.Two Sensors: North and South<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, solar radiation (pyranometer, photosynthetically active radiation)<br>Established in Mar, 2011 as part of the ForestGEO Tropical Ecology, Assessment and Monitoring (TEAM) project.<br>The original tower was Located near the center of the island at the north west corner of the 50ha plot (9.1568°, -79.8486°).<br>In 2018 this tower was struck by a tree fall and rendered unusable.<br>In Feb. 2019 a new 45m tower was build close by (9.1568°, -79.8486°). <br><br><br>
DOI: 10.25573/data.10059458.v30
title: Monthly Summary_BCI, Vertical

description: Monthy and daily summary from Barro Colorado Island (BCI). Data organized in vertical format for long-term trend analysis<br>Location 9°9'42.36"N, 79°50'15.67"W<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, soil moisture, runoff, potential evapotranspiration, wet/dry season starting dates<br><br>Lutz catchment is a 9.73ha protected watershed on BCIThe Lutz tower was built in 1972 and was originally 42m. In 2002 it was increased to 48m<br>The data from 48m should be considered a separate data series from the data at 42m. Wind speed is significantly higher at 48m due to the distance to the top of the canopy.<br>The Clearing is a small, open area surrounded by forest and some buildings. Station established in 1972. Consists of a Stevenson screen with max/min thermometers and air pressure sensor. Temperature/humidity sensor, rain gauge and evaporation sensors are located at various locations around the screen.
DOI: 10.25573/data.10059455.v30
title: Monthly Summary_BCI, horizontal

description: Monthly and daily summary from Barro Colorado Island (BCI). Data organized in horizontal format for seasonal and inter-year comparisons<br>Location 9°9'42.36"N, 79°50'15.67"W<br>Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, soil moisture, runoff, potential evapotranspiration, wet/dry season starting dates<br><br>Lutz catchment is a 9.73ha protected watershed on BCIThe Lutz tower was built in 1972 and was originally 42m. In 2002 it was increased to 48m<br>The data from 48m should be considered a separate data series from the data at 42m. Wind speed is significantly higher at 48m due to the distance to the top of the canopy.<br>The Clearing is a small, open area surrounded by forest and some buildings. Station established in 1972. Consists of a Stevenson screen with max/min thermometers and air pressure sensor. Temperature/humidity sensor, rain gauge and evaporation sensors are located at various locations around the screen.
DOI: 10.6084/m9.figshare.22270969
title: Dataset for long term Covid-19 mental health research.sav

description: This dataset is linked to a longitudinal study that captures the mental illness and mental well-being of university students over a one year period of the Covid-19 pandemic, capturing data at four time points.
DOI: 10.6084/m9.figshare.22270987
title: The role of geography, ecology, and hybridisation in the evolutionary history of Canary Island Descurainia

description: GPS coordinates were taken from 216 Canary Island <em>Descurainia</em> herbarium specimens held at the Natural History Museum, London. Climatic variables for these localities were obtained from WorldClim v.2.1 (years 1970-2000; Fick & Hijmans, 2017), using 19 bioclimatic (biolcim) variables derived from temperature and rainfall values at a spatial resolution of 30 seconds (~1 km<sup>2</sup>). The GIS datasets were used to interpolate climate values for all individuals using ArcMap and the means for each bioclimatic variable per species were calculated. The <em>pairs</em> function in R was used to identify correlated variables. Where correlated variables were identified, the one that explained the largest differences between species was retained for further analysis. The data in this file are only those retained.
DOI: 10.6084/m9.figshare.22270987.v1
title: The role of geography, ecology, and hybridisation in the evolutionary history of Canary Island Descurainia

description: GPS coordinates were taken from 216 Canary Island <em>Descurainia</em> herbarium specimens held at the Natural History Museum, London. Climatic variables for these localities were obtained from WorldClim v.2.1 (years 1970-2000; Fick & Hijmans, 2017), using 19 bioclimatic (biolcim) variables derived from temperature and rainfall values at a spatial resolution of 30 seconds (~1 km<sup>2</sup>). The GIS datasets were used to interpolate climate values for all individuals using ArcMap and the means for each bioclimatic variable per species were calculated. The <em>pairs</em> function in R was used to identify correlated variables. Where correlated variables were identified, the one that explained the largest differences between species was retained for further analysis. The data in this file are only those retained.
DOI: 10.3886/e186381v1
title: German Twitter COVID-19 vaccine posts analysed

description: This data contains two files.<br>1. topics-date.xlsx include the results of the LDA <br>2. analysed_posts_vader.xlsx include the results of the vader sentiment analysis
DOI: 10.3886/e185721v1
title: German Twitter COVID-19 vaccine posts

description: COVID-19 vaccination posts from Germany
DOI: 10.15139/s3/vrzzdp
title: Replication Data for: Timing Their Positions: Cosponsorship in the State Legislature

description: Legislators must decide when, if ever, to cosponsor legislation. Legislators strategically time their positions on salient issues of national importance, but we know little about the timing of position taking for routine bills or what this activity looks like in state legislatures. We argue legislators’ cosponsorship decision-making depends on the type of legislation and the partisan dynamics among the current cosponsors. Members treat everyday legislation as generalized position taking motivated by reelection, yet for key legislation, legislators are policy oriented. With a new dataset of over 73,000 bills introduced in both chambers of the Texas state legislature in the 75th to 86th regular sessions (1997–2020), we use pooled Cox proportional hazard models to evaluate the dynamics of when legislators legislate, comparing all bills introduced with a subset of key bills. The results show legislators time their cosponsorship activity in response to electoral vulnerability, partisanship, and the dynamics of the chamber in which they serve.
DOI: 10.25919/xe06-b611
title: Parkes pulsar observations with undefined project IDs for 2022OCTS_22

description: Parkes pulsar observations with undefined project IDs for 2022OCTS. This collection contains observations from project IDs PX084 and PX101.
DOI: 10.5281/zenodo.7733737
title: RVFV data aligning only to M-Fragment to test the PARANOiD pipeline

description: PARANOiD is a versatile software for fully automated analysis of iCLIP and iCLIP2 data. It contains all steps necessary for preprocessing, the determination of cross-link locations and several additional steps, which can be used to detect specific characteristics, e.g. definite distances between cross-link events or identify binding motifs. The cross-link sites are presented as WIG files that can be easily visualized e.g. using IGV, for which a config file is offered. Additionally, results are offered as statistical plots for a quick overview and as standardized bioinformatics file formats or TSV files, which can be used for further analysis steps. The data provided are used as a test case for PARANOiD. The data was extracted from RVFV MP-12 virions (virion-reads-M-fragment-only.fastq) and BHK cells infected with RVFV (BHK-reads-M-fragment-only.fastq) applying the iCLIP2 method for RVFV N iCLIP. Three independent biological replicates were performed for each sample. Sequencing was performed using the MiSeq Sequencer (Illumina) with MiSeq Reagent Kit v2 Micro (Illumina) for N-iCLIP from virus particles and MiSeq Reagent Kit v3 (Illumina) for N-iCLIP from infected BHK cells. The original reads have been aligned to the RVFV MP-12 reference genome and only reads aligning to the M-fragments were extracted. The whole dataset will be publish at a later date File description: virion-reads-M-fragment-only.fastq - Reads obtained from RVFV virions BHK-reads-M-fragment-only.fastq - Reads obtained from BHK cells infected with RVFV reference_RVFV.fasta - RVFV MP-12 reference genome barcodes-RVFV.tsv - Barcodes for virion-reads-M-fragment-only.fastq barcodes-RVFV-merge-all.tsv - Barcodes for merging all samples of virion-reads-M-fragment-only.fastq barcodes-BHK.tsv - Barcodes for BHK-reads-M-fragment-only.fastq barcodes-BHK-merge-all.tsv - Barcodes for merging all relevant samples of BHK-reads-M-fragment-only.fastq
description: The project was funded by following sources: Deutsche Forschungsgemeinschaft (DFG) Research Training Group (RTG) 2355 (project number 325443116) Deutsche Forschungsgemeinschaft (DFG) SFB1021 project ID 197785619, Z02 MCIN/AEI /10.13039/501100011033 / FEDER, UE grant PID2021122567-OB100
DOI: 10.5281/zenodo.7733740
title: RVFV data aligning only to M-Fragment to test the PARANOiD pipeline

description: PARANOiD is a versatile software for fully automated analysis of iCLIP and iCLIP2 data. It contains all steps necessary for preprocessing, the determination of cross-link locations and several additional steps, which can be used to detect specific characteristics, e.g. definite distances between cross-link events or identify binding motifs. The cross-link sites are presented as WIG files that can be easily visualized e.g. using IGV, for which a config file is offered. Additionally, results are offered as statistical plots for a quick overview and as standardized bioinformatics file formats or TSV files, which can be used for further analysis steps. The data provided are used as a test case for PARANOiD. The data was extracted from RVFV MP-12 virions (virion-reads-M-fragment-only.fastq) and BHK cells infected with RVFV (BHK-reads-M-fragment-only.fastq) applying the iCLIP2 method for RVFV N iCLIP. Three independent biological replicates were performed for each sample. Sequencing was performed using the MiSeq Sequencer (Illumina) with MiSeq Reagent Kit v2 Micro (Illumina) for N-iCLIP from virus particles and MiSeq Reagent Kit v3 (Illumina) for N-iCLIP from infected BHK cells. The original reads have been aligned to the RVFV MP-12 reference genome and only reads aligning to the M-fragments were extracted. The whole dataset will be publish at a later date File description: virion-reads-M-fragment-only.fastq - Reads obtained from RVFV virions BHK-reads-M-fragment-only.fastq - Reads obtained from BHK cells infected with RVFV reference_RVFV.fasta - RVFV MP-12 reference genome barcodes-RVFV.tsv - Barcodes for virion-reads-M-fragment-only.fastq barcodes-RVFV-merge-all.tsv - Barcodes for merging all samples of virion-reads-M-fragment-only.fastq barcodes-BHK.tsv - Barcodes for BHK-reads-M-fragment-only.fastq barcodes-BHK-merge-all.tsv - Barcodes for merging all relevant samples of BHK-reads-M-fragment-only.fastq
description: The project was funded by following sources: Deutsche Forschungsgemeinschaft (DFG) Research Training Group (RTG) 2355 (project number 325443116) Deutsche Forschungsgemeinschaft (DFG) SFB1021 project ID 197785619, Z02 MCIN/AEI /10.13039/501100011033 / FEDER, UE grant PID2021122567-OB100
DOI: 10.5281/zenodo.7734246
title: Numerical simulations reproduce field observations showing transient weakening during shear zone formation by diffusional hydrogen influx and H2O inflow

description: Abstract of the corresponding paper: Exposures on Holsnøy island (Bergen Arcs, Norway) indicate fluid infiltration through fractures into a dry, metastable granulite, which triggered a kinetically delayed eclogitization, a transient weakening during fluid-rock interaction, and formation of shear zones that widened during shearing. It remains unclear whether the effects of grain boundary-assisted aqueous fluid inflow on the duration of granulite hydration were influenced by a diffusional hydrogen influx accompanying the fluid inflow. To better estimate the fluid infiltration efficiencies and the parameter interdependencies, a 1D numerical model of a viscous shear zone is utilized and validated using measured mineral phase abundance distributions and H<sub>2</sub>O-contents in nominally anhydrous minerals (NAMs) of the original granulite assemblage to constrain the hydration by aqueous fluid inflow and diffusional hydrogen influx, respectively. Both hydrations are described with a diffusion equation and affect the effective viscosity. Shear zone kinematics are constrained by the observed shear strain and thickness. The model fits the phase abundance and H<sub>2</sub>O-content profiles if the effective hydrogen diffusivity is approximately one order of magnitude higher than the diffusivity for aqueous fluid inflow. The observed shear zone thickness is reproduced if the viscosity ratio between dry granulite and deforming, re-equilibrating eclogite is ~10<sup>4</sup> and that between dry granulite and hydrated granulite is ~10<sup>2</sup>. The results suggest shear velocities &lt;10<sup>-2</sup> cm/a, hydrogen diffusivities of ~10<sup>-13±1</sup> m<sup>2</sup>/s, and a shearing duration of &lt;10 years. This study successfully links and validates field data to a shear zone model and highlights the importance of hydrogen diffusion for shear zone widening and eclogitization. The files uploaded here represents the numerical codes and dataset utilized to produce the results presented in the associated paper.<br> Find a description of the single code files ([<em>name</em>].m) in the ST1.doxc file.
DOI: 10.5281/zenodo.7734245
title: Numerical simulations reproduce field observations showing transient weakening during shear zone formation by diffusional hydrogen influx and H2O inflow

description: Abstract of the corresponding paper: Exposures on Holsnøy island (Bergen Arcs, Norway) indicate fluid infiltration through fractures into a dry, metastable granulite, which triggered a kinetically delayed eclogitization, a transient weakening during fluid-rock interaction, and formation of shear zones that widened during shearing. It remains unclear whether the effects of grain boundary-assisted aqueous fluid inflow on the duration of granulite hydration were influenced by a diffusional hydrogen influx accompanying the fluid inflow. To better estimate the fluid infiltration efficiencies and the parameter interdependencies, a 1D numerical model of a viscous shear zone is utilized and validated using measured mineral phase abundance distributions and H<sub>2</sub>O-contents in nominally anhydrous minerals (NAMs) of the original granulite assemblage to constrain the hydration by aqueous fluid inflow and diffusional hydrogen influx, respectively. Both hydrations are described with a diffusion equation and affect the effective viscosity. Shear zone kinematics are constrained by the observed shear strain and thickness. The model fits the phase abundance and H<sub>2</sub>O-content profiles if the effective hydrogen diffusivity is approximately one order of magnitude higher than the diffusivity for aqueous fluid inflow. The observed shear zone thickness is reproduced if the viscosity ratio between dry granulite and deforming, re-equilibrating eclogite is ~10<sup>4</sup> and that between dry granulite and hydrated granulite is ~10<sup>2</sup>. The results suggest shear velocities &lt;10<sup>-2</sup> cm/a, hydrogen diffusivities of ~10<sup>-13±1</sup> m<sup>2</sup>/s, and a shearing duration of &lt;10 years. This study successfully links and validates field data to a shear zone model and highlights the importance of hydrogen diffusion for shear zone widening and eclogitization. The files uploaded here represents the numerical codes and dataset utilized to produce the results presented in the associated paper.<br> Find a description of the single code files ([<em>name</em>].m) in the ST1.doxc file.
DOI: 10.5281/zenodo.7734162
title: Gridded Global Revisit Periods of Landsat, Sentinel-1, Sentinel-2 Satellites and their Combination

description: This is a global dataset of revisit periods of individual satellites and their combination based on a 0.5-degree resolution grid.<br> Revisit periods are defined as the time between two consecutive observations of a particular point on the surface, for the satellite missions Landsat, Sentinel-2 and Sentinel-1. The grid was created using ArcMap 10.8.1 and intersections of the grid were used to create points. For each individual point, average revisit times (i.e., to account for irregular revisits, downlink issues) were calculated for each individual satellite and the composite of the three satellites. Averaged revisit times for each of these points were calculated based on the number of image tiles that intersected a particular grid point with more than a 30-minute time difference between each other acquired between 01 Jan 2016 and 31 Dec 2020.<br> The following equation is used to calculate revisit periods: Average revisit time for a grid point = (Number of days between 01 Jan 2016 and 31 Dec 2020 (1827)) / (Total Number of Images captured) Only revisits occurring between 82.5 N and 55 S of land grid points are considered; Antarctica is omitted from analysis. For satellite missions that consist of two spacecraft orbiting simultaneously (Sentinel-1 A/B, and Sentinel-2 A/B), images acquired by both satellites were used in average revisit period calculation for a given grid point. Sum totals of image tiles of all three missions are used to calculate composite point-based revisit times.
description: This dataset was produced as part of the manuscript "A multi-sensor approach for increased measurements of floods and their societal impacts from space" which is currently in review.