cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57970/3htyy-tss47
title: PALM-LES / EUREC4A shallow cumulus dataset with 3D cloud output data

description: The dataset features 8 hours of single layer shallow cumulus clouds with an ever increasing cloud deck.
After 8 hours, we increased the output interval to 1s for 2 minutes.
The domain was initialized with dropsonde data from the EUREC4A campaign averaged over the HALO-0128 flight.
A key feature of the dataset is its very high spatial and temporal resolution of 3D output fields (10m/5m and 1 second).
The vision is that the high temporal frequency and spatial resolution of cloud and wind variables will allow for a wide range of offline benchmarks.
Applications that come to our mind are offline benchmark for 1D and 3D radiative heating rate computations, 3D radiative transfer effects on retrievals as well as cloud motion tracking algorithms.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/r4wfp-kp367
DOI: 10.57970/p3ahb-yba70
title: Output data of idealised tropical channel simulations of an aqua planet at 5km and 13km resolution with ICON for different convection conducts

description: Idealized aqua planet channel simulations using the ICOsahedral Nonhydrostatic (ICON) model with a horizontal grid resolution of approx. 13
km. The channel length corresponds to the Earth's circumference with cyclic boundary conditions and rigid walls at 30° N/S. Zonally
symmetric sea surface temperatures are prescribed. We perform four aqua channel experiments with different deep and shallow convection
representations.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/p3ahb-yba70
DOI: 10.57970/r4wfp-kp367
title: PALM-LES / EUREC4A shallow cumulus dataset with 3D cloud output data

description: The dataset features 8 hours of single layer shallow cumulus clouds with an ever increasing cloud deck.
After 8 hours, we increased the output interval to 1s for 2 minutes.
The domain was initialized with dropsonde data from the EUREC4A campaign averaged over the HALO-0128 flight.
A key feature of the dataset is its very high spatial and temporal resolution of 3D output fields (10m/5m and 1 second).
The vision is that the high temporal frequency and spatial resolution of cloud and wind variables will allow for a wide range of offline benchmarks.
Applications that come to our mind are offline benchmark for 1D and 3D radiative heating rate computations, 3D radiative transfer effects on retrievals as well as cloud motion tracking algorithms.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/r4wfp-kp367
DOI: 10.57970/rchdt-npy26
title: Output data of idealised tropical channel simulations of an aqua planet at 5km and 13km resolution with ICON for different convection conducts

description: Idealized aqua planet channel simulations using the ICOsahedral Nonhydrostatic (ICON) model with a horizontal grid resolution of approx. 13
km. The channel length corresponds to the Earth's circumference with cyclic boundary conditions and rigid walls at 30° N/S. Zonally
symmetric sea surface temperatures are prescribed. We perform four aqua channel experiments with different deep and shallow convection
representations.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/p3ahb-yba70
DOI: 10.57970/e61hw-rrz34
title: Data for "Can artificial intelligence-based weather prediction models simulate the butterfly effect?"

description: Data for "Selz and Craig, 2023: Can artificial intelligence-based weather prediction models simulate the butterfly effect? Geophysical Research Letters."
Access to dataData files are available for download at: https://opendata.physik.lmu.de/e61hw-rrz34
DOI: 10.57970/mrnk1-msj92
title: Data for "Can artificial intelligence-based weather prediction models simulate the butterfly effect?"

description: Data for "Selz and Craig, 2023: Can artificial intelligence-based weather prediction models simulate the butterfly effect? Geophysical Research Letters."
Access to dataData files are available for download at: https://opendata.physik.lmu.de/e61hw-rrz34
DOI: 10.57970/9vz0m-0tp15
title: Data for: Sequence self-selection by cyclic phase separation

description: The emergence of functional oligonucleotides on early Earth required a molecular selection mechanism to screen for specific sequences with prebiotic functions. Cyclic processes such as daily temperature oscillations were ubiquitous in this environment and could trigger oligonucleotide phase separation. Here, we propose sequence selection based on phase separation cycles realized through sedimentation in a system subjected to the feeding of oligonucleotides. Using theory and experiments with DNA, we show sequence-specific enrichment in the sedimented dense phase, in particular of short 22-mer DNA sequences. The underlying mechanism selects for complementarity, as it enriches sequences that tightly interact in the condensed phase through base-pairing. Our mechanism also enables initially weakly biased pools to enhance their sequence bias or to replace the most abundant sequences as the cycles progress. Our findings provide an example of a selection mechanism that may have eased screening for the first auto-catalytic self-replicating oligonucleotides.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/HF8n0NKntbwWqxU
DOI: 10.57970/spvgf-2vq33
title: Data for: Sequence self-selection by cyclic phase separation

description: The emergence of functional oligonucleotides on early Earth required a molecular selection mechanism to screen for specific sequences with prebiotic functions. Cyclic processes such as daily temperature oscillations were ubiquitous in this environment and could trigger oligonucleotide phase separation. Here, we propose sequence selection based on phase separation cycles realized through sedimentation in a system subjected to the feeding of oligonucleotides. Using theory and experiments with DNA, we show sequence-specific enrichment in the sedimented dense phase, in particular of short 22-mer DNA sequences. The underlying mechanism selects for complementarity, as it enriches sequences that tightly interact in the condensed phase through base-pairing. Our mechanism also enables initially weakly biased pools to enhance their sequence bias or to replace the most abundant sequences as the cycles progress. Our findings provide an example of a selection mechanism that may have eased screening for the first auto-catalytic self-replicating oligonucleotides.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/HF8n0NKntbwWqxU
DOI: 10.57970/wenvv-xc995
title: Data from: On multistability and constitutive relations of cell motion on Fibronectin lanes

description: Cell motility on flat substrates exhibits coexisting steady and oscillatory morphodynamics, the biphasic adhesion-velocity relation, and the universal correlation between
speed and persistence (UCSP) as simultaneous observations common to many cell types. Their universality and concurrency suggest a unifying mechanism causing all three of
them. Stick-slip models for cells on 1dimensional lanes suggest multistability to arise from the non-linear friction of retrograde flow. This study suggests a mechanical
mechanism controlled by integrin signalling on the basis of a biophysical model and analysis of trajectories of MDA-MB-231 cells on Fibronectin lanes which additionally
explains the constitutive relations. The experiments exhibit cells with steady or oscillatory morphodynamics and either spread or moving with spontaneous transitions
between the dynamic regimes, spread and moving and spontaneous direction reversals. Our biophysical model is based on the force balance at the protrusion edge, the noisy
clutch of retrograde flow and a response function of friction and membrane drag to integrin signaling. The theory reproduces the experimentally observed cell states,
characteristics of oscillations and state probabilities. Analysis of experiments with the biophysical model establishes a stick-slip oscillation mechanism, explains
multistability of cell states and the statistics of state transitions. It suggests protrusion competition to cause direction reversal events, the statistics of which
explain the UCSP. The effect of integrin signalling on drag and friction explains the adhesion-velocity relation and cell behavior at Fibronectin density steps. The
dynamics of our mechanism are non-linear flow mechanics driven by F-actin polymerization and shaped by the noisy clutch of retrograde flow friction, protrusion competition
via membrane tension and drag forces. Integrin signalling controls the parameters of the mechanical system.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/wenvv-xc995
DOI: 10.57970/xvf7n-5jp77
title: Data from: On multistability and constitutive relations of cell motion on Fibronectin lanes

description: Cell motility on flat substrates exhibits coexisting steady and oscillatory morphodynamics, the biphasic adhesion-velocity relation, and the universal correlation between
speed and persistence (UCSP) as simultaneous observations common to many cell types. Their universality and concurrency suggest a unifying mechanism causing all three of
them. Stick-slip models for cells on 1dimensional lanes suggest multistability to arise from the non-linear friction of retrograde flow. This study suggests a mechanical
mechanism controlled by integrin signalling on the basis of a biophysical model and analysis of trajectories of MDA-MB-231 cells on Fibronectin lanes which additionally
explains the constitutive relations. The experiments exhibit cells with steady or oscillatory morphodynamics and either spread or moving with spontaneous transitions
between the dynamic regimes, spread and moving and spontaneous direction reversals. Our biophysical model is based on the force balance at the protrusion edge, the noisy
clutch of retrograde flow and a response function of friction and membrane drag to integrin signaling. The theory reproduces the experimentally observed cell states,
characteristics of oscillations and state probabilities. Analysis of experiments with the biophysical model establishes a stick-slip oscillation mechanism, explains
multistability of cell states and the statistics of state transitions. It suggests protrusion competition to cause direction reversal events, the statistics of which
explain the UCSP. The effect of integrin signalling on drag and friction explains the adhesion-velocity relation and cell behavior at Fibronectin density steps. The
dynamics of our mechanism are non-linear flow mechanics driven by F-actin polymerization and shaped by the noisy clutch of retrograde flow friction, protrusion competition
via membrane tension and drag forces. Integrin signalling controls the parameters of the mechanical system.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/wenvv-xc995
DOI: 10.57970/h1y02-bjv70
title: ICON baroclinic life cycle simulations description and dataset for studying the cloud-radiative impact on the dynamics of an idealized cyclone

description: This collection contains the ICON baroclinic life cycle simulations description and post-processed datasets used in the 
study of Keshtgar et al., 2022 (Cloud-radiative impact on the dynamics and predictability of an idealized extratropical cyclone, https://doi.org/10.5194/wcd-2022-35).
The simulations use a newly implemented channel setup in the ICON model and apply a modeling technique that isolates the impact of cloud radiation on the cyclone.

Access to dataData files are available for download at: https://opendata.physik.lmu.de/h1y02-bjv70
DOI: 10.57970/mywrd-82k76
title: ICON baroclinic life cycle simulations description and dataset for studying the cloud-radiative impact on the dynamics of an idealized cyclone

description: This collection contains the ICON baroclinic life cycle simulations description and post-processed datasets used in the 
study of Keshtgar et al., 2022 (Cloud-radiative impact on the dynamics and predictability of an idealized extratropical cyclone, https://doi.org/10.5194/wcd-2022-35).
The simulations use a newly implemented channel setup in the ICON model and apply a modeling technique that isolates the impact of cloud radiation on the cyclone.

Access to dataData files are available for download at: https://opendata.physik.lmu.de/h1y02-bjv70
DOI: 10.15468/dl.x7vhwc
title: Occurrence Download

description: A dataset containing 11248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Manihot esculenta Crantz)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 11248 records from 305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015154-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57970/5d0k9-q2n86
title: UCLA-LES shallow cumulus dataset with 3D cloud output data

description: The dataset features 6 hours of single layer shallow cumulus clouds with an ever increasing cloud deck. I.e. domain average cloud fraction ranges from 0% in the
beginning to 100% towards the end of the simulation. A key feature of the dataset is its very high temporal resolution of 3D output fields (every 10 seconds).
The vision is that the high temporal frequency and spatial resolution of cloud and wind variables will allow for a wide range of offline benchmarks. Applications
that come to our mind are offline benchmark for 1D and 3D radiative heating rate computations, 3D radiative transfer effects on retrievals as well as cloud
motion tracking algorithms.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/5d0k9-q2n86
DOI: 10.57970/d1dn5-zwj06
title: ICON-D2 microphysically perturbed ensemble simulations including initial and boundary condition uncertainty

description: The dataset contains hourly outputs of five ICON-D2 ensemble simulations with combined
initial and boundary conditions (IBC) and microphysical perturbations. One ensemble
dataset consists of 180 ensemble members that are a full combination of 20 IBC, 3 CCN
concentration parameters and 3 cloud droplet size distribution shape parameters. The
combined impact of microphysical uncertainties can be investigated in the presence of
initial and boundary conditions uncertainties in the state-of-the-art numerical weather
prediction model.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/d1dn5-zwj06
DOI: 10.57970/f4p2r-jvx68
title: UCLA-LES shallow cumulus dataset with 3D cloud output data

description: The dataset features 6 hours of single layer shallow cumulus clouds with an ever increasing cloud deck. I.e. domain average cloud fraction ranges from 0% in the
beginning to 100% towards the end of the simulation. A key feature of the dataset is its very high temporal resolution of 3D output fields (every 10 seconds).
The vision is that the high temporal frequency and spatial resolution of cloud and wind variables will allow for a wide range of offline benchmarks. Applications
that come to our mind are offline benchmark for 1D and 3D radiative heating rate computations, 3D radiative transfer effects on retrievals as well as cloud
motion tracking algorithms.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/5d0k9-q2n86
DOI: 10.57970/fdd85-mdh15
title: ICON-D2 microphysically perturbed ensemble simulations including initial and boundary condition uncertainty

description: The dataset contains hourly outputs of five ICON-D2 ensemble simulations with combined
initial and boundary conditions (IBC) and microphysical perturbations. One ensemble
dataset consists of 180 ensemble members that are a full combination of 20 IBC, 3 CCN
concentration parameters and 3 cloud droplet size distribution shape parameters. The
combined impact of microphysical uncertainties can be investigated in the presence of
initial and boundary conditions uncertainties in the state-of-the-art numerical weather
prediction model.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/d1dn5-zwj06
DOI: 10.5522/04/28751210
title: The Bangladesh Diabetes: Community-Led Awareness, Response and Evaluation (DClare) cluster randomised controlled trial data.

description: The full methods for the cRCT have been described in the published study protocol, trial registration and main trial results publications:· Original trial protocol for a stepped-wedge trial: https://doi.org/10.1186/s13063-021-05167-y· Updated trial protocol for a cRCT, due to the COVID-19 pandemic: https://doi.org/10.1186/s13063-023-07243-x· Trial registration: https://doi.org/10.1186/ISRCTN42219712Briefly, Alfadanga upazila was divided into 12 clusters of approximately equal population size using government census data. Within these 12 clusters, between 2-5 villages were purposefully selected to achieve between 800-1000 households per cluster, according the following eligibility criteria: a) they do not sit on a border with a neighbouring study cluster; b) they are not a major trading centre or administrative centre; c) they have a minimum of 50 households. A population census was conducted between November 2019 – January 2020 to form a sampling frame, with each household within purposefully selected villages visited, and all household members aged 25 and older registered. A unique study ID was assigned to each individual using the following formulation<i>.</i>Clusters were randomised to either control or community mobilisation through Participatory Learning and Action (PLA), which works through facilitated community groups actively engaging communities in identifying the causes of health problems and working together to design and implement ways to address these health problems, and reflect on their progress. Three cross-sectional surveys were conducted: a) pre-COVID-19 baseline; b) post-COVID-19 baseline; c) endline. For each survey, a random sample of individuals were selected using two-stage simple random sampling, with the household randomly selected then one eligible individual selected from these households. For the endline survey, individuals who were identified as living with intermediate hyperglycaemia in the post-COVID-19 baseline survey were purposefully selected.
DOI: 10.5522/04/28751210.v1
title: The Bangladesh Diabetes: Community-Led Awareness, Response and Evaluation (DClare) cluster randomised controlled trial data.

description: The full methods for the cRCT have been described in the published study protocol, trial registration and main trial results publications:· Original trial protocol for a stepped-wedge trial: https://doi.org/10.1186/s13063-021-05167-y· Updated trial protocol for a cRCT, due to the COVID-19 pandemic: https://doi.org/10.1186/s13063-023-07243-x· Trial registration: https://doi.org/10.1186/ISRCTN42219712Briefly, Alfadanga upazila was divided into 12 clusters of approximately equal population size using government census data. Within these 12 clusters, between 2-5 villages were purposefully selected to achieve between 800-1000 households per cluster, according the following eligibility criteria: a) they do not sit on a border with a neighbouring study cluster; b) they are not a major trading centre or administrative centre; c) they have a minimum of 50 households. A population census was conducted between November 2019 – January 2020 to form a sampling frame, with each household within purposefully selected villages visited, and all household members aged 25 and older registered. A unique study ID was assigned to each individual using the following formulation<i>.</i>Clusters were randomised to either control or community mobilisation through Participatory Learning and Action (PLA), which works through facilitated community groups actively engaging communities in identifying the causes of health problems and working together to design and implement ways to address these health problems, and reflect on their progress. Three cross-sectional surveys were conducted: a) pre-COVID-19 baseline; b) post-COVID-19 baseline; c) endline. For each survey, a random sample of individuals were selected using two-stage simple random sampling, with the household randomly selected then one eligible individual selected from these households. For the endline survey, individuals who were identified as living with intermediate hyperglycaemia in the post-COVID-19 baseline survey were purposefully selected.
DOI: 10.15468/dl.2hc2va
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Uvaria poggei var. anisotricha Le Thomas"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015155-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqnzsu
title: Occurrence Download

description: A dataset containing 1235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Myocastor coypus (Molina, 1782), Trachemys scripta (Thunberg In Schoepff, 1792), Graptemys pseudogeographica (Gray, 1831), Pseudemys nelsoni Carr, 1938, Pseudemys concinna (Le Conte, 1830), Xenopus laevis (Daudin, 1802), Perccottus glenii Dybowski, 1877)"
 ]
}

 The dataset includes 1235 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015156-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/dc7x-5689
title: EEG recordings during VR Vection

description: This dataset comprises electroencephalography (EEG) recordings from 30 participants experiencing vection in virtual reality (VR). Participants were exposed to visual stimuli inducing forward or backward acceleration. EEG signals were captured using 14 channels, with a sampling rate of 512 Hz. The dataset includes both raw EEG and questionaire responses. Additionally, subjective ratings of vection intensity are provided for each participant after each trial. The data is in the Brain Imaging Data Structure (BIDS) format, with the EEG recordings in the European Data Fromat (EDF). Subject and EEG metadata is sometimes duplicated for compatibility with common processing libraries like MNE. This dataset supports research on the neural correlates of vection and cybersickness, facilitating the development of objective measures and enhanced VR experiences.
DOI: 10.15468/dl.gxtrtn
title: Occurrence Download

description: A dataset containing 1101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Manihot grahamii Hook.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 1101 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015158-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.