cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.pk0p2ngtt
title: Data for training AMSR2-CNN and its corresponding machine learning algorithm

description: Despite the availability of multiple decades of passive microwave
 measurements from satellite platforms, their utility for developing
 quantitative, spatially distributed estimates of snowpack is yet to be
 realized. A major bottleneck is the use of simple conceptual retrieval
 model formulations that are ineffective in representing the significant
 heterogeneity and complexity of snow evolution, particularly over areas
 with complex topography and forest regions. Here we demonstrate a
 physics-constrained and interpretable Convolutional Neural Network (CNN)
 to learn the functional relationship utilizing multi-channel passive
 microwave brightness temperature measurements from the Advanced Microwave
 Scanning Radiometer 2 (AMSR2) and in-situ snow depth observations. The
 machine learning approach with CNN generates vastly improved snow depth
 estimates relative to the standard AMSR2 estimates. Compared to
 independent in-situ measurements of snow depth over the Continental United
 States, the domain averaged Pearson correlation measure is three times
 higher than that of the standard AMSR2 estimates (R2: 0.68 versus 0.21),
 while the systematic errors are reduced by approximately fourfold.
 Further, the CNN-based snow depth estimates also exhibit notable
 enhancements in regions with forests, deep snow, and melting snow, thereby
 alleviating the limitations faced by traditional algorithms in retrieving
 accurate snow depths. The interpretation of the CNN framework further
 indicates that the machine learning approach dynamically leverages both
 volume scattering and emission components from a suite of measured passive
 microwave signals to generate more accurate snow depth retrievals. The
 results of this study provide an important benchmark of high-quality snow
 retrievals from passive microwave satellite measurements by maximizing
 their information content.
DOI: 10.15468/dl.8arnjn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "MediaType is Image",
 "TaxonKey is Hyalomma impeltatum"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003589-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffsnf9
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolochloa marchica"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003588-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.xd2547dp4
title: Remote camera monitoring and arboreal trapping data for a reintroduced population of red-tailed phascogales (Phascogale calura)

description: Effective monitoring methods are required to evaluate the success of
 wildlife reintroduction programs. To improve the threat status of the
 Vulnerable red-tailed phascogale (Phascogale calura), the Australian
 Wildlife Conservancy reintroduced the species to a fenced reserve at Mt.
 Gibson Wildlife Sanctuary. After trialing a variety of post-release
 monitoring methods, remote camera monitoring and arboreal trapping with an
 extensive period of pre-luring provided the most information with which to
 evaluate the success of the reintroduction. To date, reintroduced
 red-tailed phascogales have increased in both occupancy and population
 size following releases which began at Mt. Gibson in 2017. Other managers
 of red-tailed phascogale populations may find the described methods
 useful, particularly in the context of multi-species reintroductions where
 trap saturation can reduce capture rates of smaller species, such as
 phascogales.
description: # Remote camera monitoring and arboreal trapping data for a reintroduced
 population of red-tailed phascogales (*Phascogale calura*) --- A
 reintroduced population of red-tailed phascogales at AWC's Mt. Gibson
 Wildlife Sanctuary, WA, are monitored via arboreal trapping and remote
 camera monitoring. Data from the arboreal trapping survey is used to
 estimate site abundance. Data from the remote camera survey is used to
 estimate occupancy. This dataset includes the following CSV files:
 Arboreal trapping_capture data Arboreal trapping_site location Camera
 survey_deployment data Camera survey_detection data Camera survey_site
 location ## Description of the data and file structure **Column headings -
 Description** Capture date - Date of capture Trap Site - Name of trap site
 ID - individual ID of captured red-tailed phascogale X_COORD - UTM easting
 coordinates, zone 50 Y_COORD - UTM northing coordinates, zone 50 Camera
 Site - Name of camera site Date deployed - The date the camera was
 deployed in the field (i.e., start of the survey) Date retrieved - The
 date the camera was retrieved from the field (i.e., end of the survey)
 Detection date - Date of red-tailed phascogale detection on remote camera,
 one detection per survey date per site The arboreal trapping files are
 linked via the Trap Site. The camera survey files are linked via the
 Camera Site ## Sharing/Access information N/A ## Code/Software N/A
DOI: 10.5061/dryad.t1g1jwt7v
title: Phylogenomics improves the phylogenetic resolution and provides strong evidence of mito-nuclear discordance in two genera of a New Zealand cicada (Hemiptera: Cicadidae) species radiation

description: Rapid species radiations present difficulties for phylogenetic
 reconstruction due to lack of phylogenetic information and processes such
 as deep coalescence/incomplete lineage sorting and hybridization.
 Phylogenomic data can overcome some of these difficulties. In this study,
 we use Anchored Hybrid Enrichment (AHE) nuclear phylogenomic data and
 mitochondrial genomes recovered from AHE bycatch with several concatenated
 and coalescent approaches to reconstruct the poorly-resolved radiation of
 the New Zealand cicada species in the genera Kikihia Dugdale and
 Maoricicada Dugdale. Compared to previous studies using only three to five
 Sanger-sequenced genes, we find increased resolution across our
 phylogenies, but several branches remain unresolved due to topological
 conflict among genes. Some nodes that are strongly supported by
 traditional support measures like bootstraps and posterior probabilities
 still show significant gene and site concordance conflict. Additionally,
 we find strong mito-nuclear discordance; likely the result of
 interspecific hybridization events in the evolutionary history
 of Kikihia and Maoricicada.
DOI: 10.15468/dl.a7cb8a
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Scymnodalatias garricki"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003591-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.s1rn8pkds
title: Dataset for: mRNA vaccine quality analysis using RNA sequencing

description: The success of mRNA vaccines has been realised, in part, by advances in
 manufacturing that enabled billions of doses to be produced at sufficient
 quality and safety. However, mRNA vaccines must be rigorously analysed to
 measure their integrity and detect contaminants that reduce their
 effectiveness and induce side-effects. Currently, mRNA vaccines and
 therapies are analysed using a range of time-consuming and costly methods.
 Here we describe a streamlined method to analyse mRNA vaccines and
 therapies using long-read nanopore sequencing. Compared to other
 industry-standard techniques, VAX-seq can comprehensively measure key mRNA
 vaccine quality attributes, including sequence, length, integrity, and
 purity. We also show how direct RNA sequencing can analyse mRNA chemistry,
 including the detection of nucleoside modifications. To support this
 approach, we provide supporting software to automatically report on mRNA
 and plasmid template quality and integrity. Given these advantages, we
 anticipate that RNA sequencing methods, such as VAX-seq, will become
 central to the development and manufacture of mRNA drugs.
description: Data are analyses of mRNA vaccines, sequenced using Oxford
 Nanopore sequencing. These include alignment files (.bam and .bai) of a
 control eGFP mRNA vaccine and its plasmid template. Additionally there
 analyses of poly(A) tail length, performed using tailfindr
 software. 
description: The .bam and .bai files can be opened using IGV. The .csv files
 can be opened using a text editor or Excel.
DOI: 10.5061/dryad.rbnzs7hhp
title: Data and code for: Trapped DNA fragments in marine sponge specimens unveil north Atlantic deep-sea fish diversity

description: Sponges pump water to filter feed and for diffusive oxygen uptake. In
 doing so, trace DNA fragments from a multitude of organisms living around
 them are trapped in their tissues. Here we show that the environmental DNA
 retrieved from archived marine sponge specimens can reconstruct the fish
 communities at the place of sampling and discriminate North Atlantic
 assemblages according to biogeographic region (from Western Greenland to
 Svalbard), depth habitat (80–1600 m), and even the level of protection in
 place. Given the cost associated with ocean biodiversity surveys, we argue
 that targeted and opportunistic sponge samples – as well as the specimens
 already stored in museums and other research collections – represent an
 invaluable trove of biodiversity information that can significantly extend
 the reach of ocean monitoring.
DOI: 10.5061/dryad.jsxksn0gg
title: You are what your host eats: The trophic structure and food chain length of a symbiont community are coupled with the plastic diet of the host ant

description: Food chain length provides key information on the flow of nutrients and
 energy in ecosystems. Variation in food chain length has primarily been
 explained by environmental drivers such as ecosystem size and
 productivity. Most insights are obtained from theory or aquatic systems,
 but the importance of these drivers remains largely untested in
 terrestrial systems. We exploited red wood ant nests markedly differing in
 size as natural experiments to quantify the drivers of trophic structure
 and food chain length of their symbiont arthropod communities. Using
 stable isotopes, we explored the variation in the trophic positions of
 four symbiont species with the trophic position of the top predator as a
 proxy for food chain length of the symbiont community.  Nest size
 did not affect food chain length, nor trophic distance between the
 symbionts. Instead, food chain length and the trophic positions of the
 symbionts were strongly affected by the host’s foraging decisions. When
 the host diet shifted from predominantly herbivorous to more predacious,
 the trophic position of the symbionts and food chain length strongly
 increased. We show for the first time that a food web can be structured by
 biotic interactions with an engineering species rather than by abiotic
 environmental variable
DOI: 10.15468/dl.rfqjzf
title: Occurrence Download

description: A dataset containing 872664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erythrina flabelliformis, Euonymus japonicus, Euphorbia chamaesyce, Euphorbia humifusa, Euphorbia lagascae, Euphorbia lathyris, Forsythia intermedia, Gasteria obliqua, Geranium pusillum, Gypsophila elegans, Gypsophila pilosa, Hoya carnosa, Ludwigia peploides, Lysimachia japonica, Mesembryanthemum cordifolium, Oxalis dillenii, Paspalum thunbergii, Prosopis farcta, Scopolia carniolica, Maclura pomifera, Laguncularia racemosa, Rhizophora mucronata, Zeuxine strateumatica, Cyperus tenuispica, Rubus sanctus, Symphyotrichum graminifolium, Artemisia arborescens, Bidens aurea, Blainvillea gayana, Brachychiton diversifolius, Calpurnia aurea, Catha edulis, Cenchrus caudatus, Conocarpus lancifolius, Dianthus caryophyllus, Eucalyptus marginata, Eucalyptus occidentalis, Eucalyptus torquata, Hyphaene thebaica, Iris florentina, Juglans regia, Lathyrus sativus, Malus sylvestris, Morus nigra, Myrtus communis, Nasturtium microphyllum, Nigella sativa, Origanum majorana, Pluchea indica)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 872664 records from 3620 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002997-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14686161
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.vy9n35
title: Occurrence Download

description: A dataset containing 2516 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xenopsylla cheopis"
 ]
}

 The dataset includes 2516 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003265-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.am55yb
title: Occurrence Download

description: A dataset containing 871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mareya micrantha",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 871 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003266-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14686142
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15468/dl.dhpbej
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mareyopsis oligogyna",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 178 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003267-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrbf7c
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megistostigma burmanicum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003268-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbb95k
title: Occurrence Download

description: A dataset containing 745 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanolepis multiglandulosa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 745 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003269-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vh8rtt
title: Occurrence Download

description: A dataset containing 4414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mercurialis perennis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4414 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003270-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3b9f53
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micrandra elata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 193 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003272-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4g9c4
title: Occurrence Download

description: A dataset containing 463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "Geometry POLYGON((77.09247 -18.55635,154.90753 -18.55635,154.90753 12.55635,77.09247 12.55635,77.09247 -18.55635))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pongo pygmaeus",
 "Year 1908-2026"
 ]
}

 The dataset includes 463 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003271-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g22zuj
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micrandropsis scleroxylon",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 142 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003273-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahccv2
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micrococca oligandra",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003275-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18406765
title: Atmospheric visibility measurements from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2025-01-01 to 2025-12-31 [L2]

description: Quality controlled and gap-filled continuous atmospheric visibility data (Meteorological Observable Range MOR) measured at the urban rooftop weather station at Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) using an a forward scatter system (CS125, Present Weather and Visibility sensor, Campbell Scientific Inc.) operated 2 m above roof level.



Quality controlled atmospheric visibility data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2025.

Average, minimum and maximum visibility are provided on hourly, daily, monthly and annual scales.

Hours and days with at least one minute of a visibility of less than 20, 10, 4, 2, 1, 0.5 and 0.2 km based on the WMO classes are provided on daily, monthly and annual scales. Can be used to determine frequency of fog conditions.

Hours and days with at least one minute of a visibility of greater than 50 km are provided on daily, monthly and annual scales.

Maximum visibility output by the CS125 is 75 km, so a value of 75 km means greater or equal 75 km. Averaged visibility accounts for values greater than 75 km with 75 km.

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `FRCHEM_2025_Visibility_MetaData.txt`.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.18406766
title: Atmospheric visibility measurements from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2025-01-01 to 2025-12-31 [L2]

description: Quality controlled and gap-filled continuous atmospheric visibility data (Meteorological Observable Range MOR) measured at the urban rooftop weather station at Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) using an a forward scatter system (CS125, Present Weather and Visibility sensor, Campbell Scientific Inc.) operated 2 m above roof level.



Quality controlled atmospheric visibility data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2025.

Average, minimum and maximum visibility are provided on hourly, daily, monthly and annual scales.

Hours and days with at least one minute of a visibility of less than 20, 10, 4, 2, 1, 0.5 and 0.2 km based on the WMO classes are provided on daily, monthly and annual scales. Can be used to determine frequency of fog conditions.

Hours and days with at least one minute of a visibility of greater than 50 km are provided on daily, monthly and annual scales.

Maximum visibility output by the CS125 is 75 km, so a value of 75 km means greater or equal 75 km. Averaged visibility accounts for values greater than 75 km with 75 km.

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `FRCHEM_2025_Visibility_MetaData.txt`.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.6084/m9.figshare.30336382
title: Time Series Ocean Economic Input-Output Tables of China

description: Time Series Ocean Economic Input-Output Tables of China