cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.estnog
title: The radiative effects of photochemical hazes on the atmospheric circulation and phase curves of sub-Neptunes

description: Measuring the atmospheric composition of hazy sub-Neptunes like GJ~1214b through transmission spectroscopy is difficult because of the degeneracy between mean molecular weight and haziness. It has been proposed that phase curve observations can break this degeneracy because of the relationship between mean molecular weight (MMW) and phase curve amplitude. However, photochemical hazes can strongly affect phase curve amplitudes as well. We present a large set of GCM simulations of the sub-Neptune GJ~1214b that include photochemical hazes with varying atmospheric composition, haze opacity and haze optical properties. In our simulations, photochemical hazes cause temperature changes of up to 200~K, producing thermal inversions and cooling deeper regions. This results in increased phase curve amplitudes and adds a considerable scatter to the phase curve amplitude--metallicity relationship. However, we find that if the haze production rate is high enough to significantly alter the phase curve, the secondary eclipse spectrum will exhibit either emission features or strongly muted absorption features. Thus, the combination of a white-light phase curve and a secondary eclipse spectrum can successfully distinguish between a hazy, lower MMW and a clear, high MMW scenario.
DOI: 10.48577/jpl.qmvyjz
title: MERIT-SWORD: Enabling Bidirectional Data Transfer Between MERIT Hydro Basins and the SWOT River Database (SWORD)

description: The recently launched Surface Water and Ocean Topography (SWOT) Mission will provide transformative observations of water surface elevation, width, and slope and estimates of discharge for global rivers in the SWOT River Database (SWORD). Here, we develop links between the river reaches of SWORD and MERIT Hydro Basins (MHB), a vector hydrography dataset based on the MERIT digital elevation model and MERIT Hydro hydrography maps, to enable interoperability between SWOT vector data products and hydrologic modeling frameworks. This dataset, termed MERIT-SWORD, identifies a subset of ~277,000 global MHB river reaches that most closely represent the location and extent of the SWORD river network and establishes bidirectional, one-to-many translations between reaches in the two hydrography datasets. The dataset also provides an evaluation of the accuracy of translations between SWORD and MHB reaches using several diagnostic flags, which highlight reaches where the links between the datasets may be absent or of reduced quality. Our open-source data product (Zenodo Link) will serve to unite SWOT observations with river routing models, allowing for the seamless and standardized assimilation of SWOT vector products into global river simulations and the provision of improved a priori discharge estimates for SWOT discharge computation.
DOI: 10.6084/m9.figshare.29042762
title: Alignments and trees associated with Fig. 3 and S3: SAMD9/9L gene tree in mammals (with some other vertebrates as outgroups).

description: Maximum likelihood phylogenetic trees (IQ-TREE, GTR+F+I+G4 substitution model; or PHYML, SMS for model prediction) generated with selected SAMD9/9L homologs from Eutherians, Marsupials, as well as Aves and Amphibians, used as outgroups. The complete alignment and the one with selected species are also attached.
DOI: 10.48577/jpl.bdfibp
title: Optimizing the Radiative Transfer Model Using Deep Neural Networks for NISAR Soil Moisture Retrieval

description: Soil moisture retrievals based on rigorous physicalbackscattering models require a comprehensive description ofthe vegetation structure and biophysical parameters, includingthe density of the scatters, height, and vegetation water content.Semi-physical models such as the water cloud model (WCM), arealso extensively used and rely on estimates of vegetation watercontent or biomass derived from optical vegetation indices suchas LAI and NDVI. However, such indices only contain parts ofthe true variability of vegetation structure and how it changesacross various land cover types. In this study, we introduceRTNet (Radiative Transfer Neural Network), which combines aparameterized first-order Radiative Transfer (RT) model withfour scattering components (surface, volume, double-bounce, andtriple-bounce scattering components) and deep residual neuralnetworks for the soil moisture retrieval. The input featuresconsist of the HV backscattering coefficient, vegetation watercontent, and several other information categories such as soiltexture and weather data. The RTNet is optimized to minimizethe difference between the estimated and measured HH totalbackscattering. After imposing a physical constraint to theRTNet outputs, they are then applied to the ensemble randomforest machine learning regressor to retrieve the volumetric soilmoisture. The proposed framework is validated using theSMAPVEX12 L-band UAVSAR data, aggregated to a resolutionof 100 meters, which is finer than the NISAR Level 3 soilmoisture product (200 meters resolution). The estimated HHtotal backscattering coefficients show a high agreement with theUAVSAR measured HH backscattering with a root mean squareerror (RMSE) of approximately 3 dB across the entire image innon-forested regions. The retrieved volumetric soil moisture alsoshows a very high agreement with the in-situ soil moistureachieving the RMSE of 5.65 % and R2 of 0.7.
DOI: 10.48577/jpl.nv7f76
title: Comparison between SMOS and SMAP Sea Surface Salinity and SASSIE In-situ Measurements in the Arctic Ocean

description: Sea Surface Salinity (SSS) anomalies and near-surface thermohaline stratification are key parameters to improve our understanding of sea-ice retreat and formation in polar regions. Since 2010, the remote sensing salinity missions ESA SMOS (Soil Moisture and Ocean Salinity) and NASA SMAP (Soil Moisture Active Passive) offer unprecedented SSS observations globally (SSS SMOS and SSS SMAP respectively). In this study, we compare these observations with in-situ salinity observations (SSSin-situ) made during the NASA Salinity Field Campaign SASSIE (Salinity and Stratification at Sea-Ice Edge) during the fall of 2022. The SASSIE SSSin-situ were collected by 9 different platforms: CastAway and Underway CTD, Wave Gliders, Thermosalinograph, Snake-salinity, SWIFT drifters, UpTempO buoys, Jet-SSP and ALTO and ALAMO profilers. Because satellite SSS retrievals are impacted by land and sea-ice contaminations, cold temperatures, and surface roughness, mean differences, RMSD and STD between satellite SSS and SSSin-situ are examined as a function of distance from the coast and sea-ice edge, sea surface temperature (SST) and wind speed. We find that SSS SMOS and SSS SMAP are well correlated (0.66 and 0.78 respectively) with similar RMSD when compared with SSSin-situ. Close to the coast (0-150 km), SSS SMAP compare better with SSSin-situ with RMSD (&lt;2 g/kg) lower than that from SSS SMOS. Near the sea-ice edge (0-150 km), SSS SMOS compare better with SSSin-situ with RMSD (&lt;2.5 g/kg) lower than that from SSS SMAP. In cold water (SST&lt;1.5˚C) and low wind speed conditions (&lt; 7 m/s), both SSS SMOS and SSS SMAP are consistent with each other. The RMSD between SSS SMAP and SSSin-situ decreases considerably (&lt;1 g/kg) when SST &gt;1.5˚C, while the RMSD between SSS SMOS and SSSin-situ shows less dependence on SST.
DOI: 10.21242/52911.2022.00.00.1.1.0
title: Nutzung von Informations- und Kommunikationstechnologien in Unternehmen 2022, On-Site, Version 0

description: Die Erhebung zur Nutzung von modernen Informations- und Kommunikationstechnologien in Unternehmen (auch IKT Unternehmen) erfasst jährlich Informationen über die Bedeutung und den Einsatz von modernen Informations- und Kommunikationstechnologien in deutschen Unternehmen. Auswirkungen des Einsatzes dieser Technologien auf die Geschäftsabläufe können somit sichtbar gemacht werden. Den Schwerpunkt der Befragungen bilden Verbreitung, Art und Umfang der Nutzung von Computern und Internet in Unternehmen. Im Mittelpunkt stehen darüber hinaus Fragen zu E-Government, Websites und E-Commerce. Jährlich ändernde Sondermodule wie Mobile Internetverbindung und Social Media greifen aktuelle Themen und Entwicklungen im Bereich der Informationstechnologien auf. Aufgrund dieses variablen Fragenkomplexes sind nicht alle Merkmale in jedem Berichtsjahr verfügbar. Unternehmensspezifische Kennziffern, wie z. B. die Anzahl der tätigen Personen eines Unternehmens oder dessen Umsatz, werden ebenfalls erhoben.
Es werden jährlich ca. 20.000 rechtlich selbstständige Unternehmen und Einrichtungen online oder postalisch befragt. Die Erhebung basiert auf einer geschichteten Zufallsstichprobe, welche aus dem deutschen Unternehmensregister gezogen wird. Zur Entlastung der Auskunftgebenden werden kleinere Erhebungseinheiten mit weniger als zehn Beschäftigten mit einem verkürzten Merkmalskatalog befragt. Die Teilnahme an der Befragung ist für die Unternehmen freiwillig.
Analysen sind sowohl auf Bundesebene als auch auf Bundeslandebene möglich, wobei aufgrund geringer Rücklaufquoten die Validität auf Länderebene stark eingeschränkt sein kann.
DOI: 10.15468/dl.c2er7g
title: Occurrence Download

description: A dataset containing 34981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "GadmGid is FRA.8_1",
 "Geometry POLYGON((-3.33408 44.94855,10.73444 44.94855,10.73444 50.57355,-3.33408 50.57355,-3.33408 44.94855))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Passer domesticus (Linnaeus, 1758)",
 "Year 2020-2024"
 ]
}

 The dataset includes 34981 records from 378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007080-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpdew2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.86822 35.20684,-6.68242 35.20684,-6.68242 43.00974,-9.86822 43.00974,-9.86822 35.20684))",
 "TaxonKey is Daveaua anthemoides Mariz",
 "Year 1975-2025"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007081-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21242/52911.2023.00.00.1.1.0
title: Nutzung von Informations- und Kommunikationstechnologien in Unternehmen 2023, On-Site, Version 0

description: Die Erhebung zur Nutzung von modernen Informations- und Kommunikationstechnologien in Unternehmen (auch IKT Unternehmen) erfasst jährlich Informationen über die Bedeutung und den Einsatz von modernen Informations- und Kommunikationstechnologien in deutschen Unternehmen. Auswirkungen des Einsatzes dieser Technologien auf die Geschäftsabläufe können somit sichtbar gemacht werden. Den Schwerpunkt der Befragungen bilden Verbreitung, Art und Umfang der Nutzung von Computern und Internet in Unternehmen. Im Mittelpunkt stehen darüber hinaus Fragen zu E-Government, Websites und E-Commerce. Jährlich ändernde Sondermodule wie Mobile Internetverbindung und Social Media greifen aktuelle Themen und Entwicklungen im Bereich der Informationstechnologien auf. Aufgrund dieses variablen Fragenkomplexes sind nicht alle Merkmale in jedem Berichtsjahr verfügbar. Unternehmensspezifische Kennziffern, wie z. B. die Anzahl der tätigen Personen eines Unternehmens oder dessen Umsatz, werden ebenfalls erhoben.
Es werden jährlich ca. 20.000 rechtlich selbstständige Unternehmen und Einrichtungen online oder postalisch befragt. Die Erhebung basiert auf einer geschichteten Zufallsstichprobe, welche aus dem deutschen Unternehmensregister gezogen wird. Zur Entlastung der Auskunftgebenden werden kleinere Erhebungseinheiten mit weniger als zehn Beschäftigten mit einem verkürzten Merkmalskatalog befragt. Die Teilnahme an der Befragung ist für die Unternehmen freiwillig.
Analysen sind sowohl auf Bundesebene als auch auf Bundeslandebene möglich, wobei aufgrund geringer Rücklaufquoten die Validität auf Länderebene stark eingeschränkt sein kann.
DOI: 10.15468/dl.8jqvgc
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.94423 35.7761,-6.11895 35.7761,-6.11895 42.07008,-9.94423 42.07008,-9.94423 35.7761))",
 "TaxonKey is Dianthus cintranus subsp. cintranus",
 "Year 1975-2025"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007082-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18727/archive/92
title: NIRPS reduced data obtained by standard ESO pipeline processing

description: This is the collection of reduced spectra from the high-resolution near-infrared spectrograph NIRPS (Near Infra-Red Planet Searcher) in operation at the ESO La Silla 3.6m telescope. The spectrograph offers a wavelength range from 970 to 1850 nm. The median resolving power is 82000 in the HA (High Accuracy) mode and 75000 in HE (High Efficieny) mode. The spectrograph is fed with two fibres. One fibre, fibre A is placed on the object, the second fibre, fibre B can be used to either measure the sky background or to simultaneously collect light from a reference calibration source. A Fabry-Perot (FP) cavity is the operationally used simultaneous reference which allows to measure the instrumental drift between the night-time observation and the daytime wavelength calibration.
The release covers practically all NIRPS science data in both HA and HE Modes. All data have been reduced automatically using the Data Reduction Software (DRS) pipeline version 3.2.6 or higher developed by the NIRPS Consortium and made publicly available to the community. It includes extraction of the spectrum, flat fielding, wavelength calibration, and flux calibration. Sky subtraction can only be performed if fibre B is placed on sky. A cross correlation with a stellar reference mask is executed in order to calculate the radial velocity (RV) of the observed object. 
This is an open stream release. It is complete from start of operations on 1st April 2023 until present. Data content is not fixed but grows with time as new data is acquired and processed.
description: This is a dynamic dataset; it is growing as new data is added. The DOI refers to the newest available dataset.
DOI: 10.15468/dl.5jesg6
title: Occurrence Download

description: A dataset containing 660767 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myiopsitta monachus (Boddaert, 1783)"
 ]
}

 The dataset includes 660767 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007039-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxum8m
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.05952 36.37879,-6.40536 36.37879,-6.40536 42.08346,-9.05952 42.08346,-9.05952 36.37879))",
 "TaxonKey is Dryopteris guanchica Gibby & Jermy",
 "Year 1975-2025"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007084-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.775z5h
title: Occurrence Download

description: A dataset containing 202267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Muscari Mill."
 ]
}

 The dataset includes 202267 records from 1794 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007071-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebhbne
title: Occurrence Download

description: A dataset containing 124172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urile penicillatus (J.F.Brandt, 1837)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 2019",
 "Month is greater than or equal to April",
 "Month is less than or equal to September",
 "EventDate is not null",
 "Country is United States of America",
 "Geometry POLYGON((-63 22, -63 51, -126 51, -126 22, -63 22))"
 ]
}

 The dataset includes 124172 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011566-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxqpb7
title: Occurrence Download

description: A dataset containing 43739 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mirabilis jalapa L."
 ]
}

 The dataset includes 43739 records from 768 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011581-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rf9b67
title: Occurrence Download

description: A dataset listing the 11096 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence records of southern African aquatic biodiversity"
 ]
}

 The dataset's 11096 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011161-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64cned
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abutilon longicuspe Hochst. ex A.Rich."
 ]
}

 The dataset includes 550 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011167-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yh6sv4xr23
title: Comparative assessment of putative metabolome in hydroponically cultivated Bacopa monnieri: Effect of media

description: Comparative assessment of putative metabolome in hydroponically cultivated Bacopa monnieri: Effect of media
DOI: 10.17632/yh6sv4xr23.1
title: Comparative assessment of putative metabolome in hydroponically cultivated Bacopa monnieri: Effect of media

description: Comparative assessment of putative metabolome in hydroponically cultivated Bacopa monnieri: Effect of media
DOI: 10.17632/gpy5gmkncw
title: Effects of coarse versus fine roots on debris-flow-induced channel-bed erosion: flume experiments with repeated surges

description: This dataset contains raw and processed data from flume experiments investigating debris-flow-induced channel-bed erosion under repeated surges. The data include measurements of erosion volume, flow depth, velocity, and erosion patterns for beds reinforced with fine and coarse roots at different biomasses.
DOI: 10.17632/gpy5gmkncw.1
title: Effects of coarse versus fine roots on debris-flow-induced channel-bed erosion: flume experiments with repeated surges

description: This dataset contains raw and processed data from flume experiments investigating debris-flow-induced channel-bed erosion under repeated surges. The data include measurements of erosion volume, flow depth, velocity, and erosion patterns for beds reinforced with fine and coarse roots at different biomasses.
DOI: 10.17632/hwzfrkxhzh
title: Transduction of Murine Alveolar Macrophages with Adeno-associated Virus 6: Implications for Cell and Gene Therapy

description: Raw Data for the manuscript "Transduction of Murine Alveolar Macrophages with Adeno-associated Virus 6: Implications for Cell and Gene Therapy".
Abstract:
Alveolar macrophages (AMs) are self-renewing, tissue resident cells of the lung. Their genetic manipulation remains challenging but due to their longevity they are promising tools for gene or cell therapy. 
Murine AMs were isolated from C57BL/6J mice and characterized for purity and gene expression profile. AMs were cultured and transduced with different AAV serotypes expressing green fluorescent protein (GFP) to investigate the effects of serotype, multiplicity of infection (MOI), and incubation time, and analyzed by live cell and confocal microscopy. Transducing AMs with AAV6 at a MOI of 87,500 resulted in the highest transduction rate, transgene signal intensity, and expression after 6 days. Activation of AM by lipopolysaccharide (LPS) stimulation significantly increased GFP protein synthesis. AAV transduction did not induce inflammation in AMs and transgene signal intensity was stable after the removal of the LPS stimulus. In conclusion, murine AMs can be successfully cultured in vitro, AAV6 showed the highest transduction efficiency, and activation by LPS significantly increases transgene expression.
DOI: 10.17632/hwzfrkxhzh.1
title: Transduction of Murine Alveolar Macrophages with Adeno-associated Virus 6: Implications for Cell and Gene Therapy

description: Raw Data for the manuscript "Transduction of Murine Alveolar Macrophages with Adeno-associated Virus 6: Implications for Cell and Gene Therapy".
Abstract:
Alveolar macrophages (AMs) are self-renewing, tissue resident cells of the lung. Their genetic manipulation remains challenging but due to their longevity they are promising tools for gene or cell therapy. 
Murine AMs were isolated from C57BL/6J mice and characterized for purity and gene expression profile. AMs were cultured and transduced with different AAV serotypes expressing green fluorescent protein (GFP) to investigate the effects of serotype, multiplicity of infection (MOI), and incubation time, and analyzed by live cell and confocal microscopy. Transducing AMs with AAV6 at a MOI of 87,500 resulted in the highest transduction rate, transgene signal intensity, and expression after 6 days. Activation of AM by lipopolysaccharide (LPS) stimulation significantly increased GFP protein synthesis. AAV transduction did not induce inflammation in AMs and transgene signal intensity was stable after the removal of the LPS stimulus. In conclusion, murine AMs can be successfully cultured in vitro, AAV6 showed the highest transduction efficiency, and activation by LPS significantly increases transgene expression.
DOI: 10.17632/yx2td49bj9.1
title: CSIR LEATHER DATA

description: The dataset consists of images acquired from processed Indian goat leathers. Each image encompasses a leather area of 42mmx48mm.