cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26065243
title: A Comprehensive Map of Evolutionary Constraints Across the Enterovirus A Genome

description: These data were collected by sequencing the input and output libraries from deep mutational, insertional and deletional scanning experiments. Data was processed by next-gen sequencing pipelines, in-house scripts and published software to interpret the fitness effects of mutations engineered in the EV-A71 genome. Data was visualized using R packages, inlcuding ggplot2. 

Abstract: Insertions and deletions (InDels) are essential sources of novelty in protein evolution. In RNA viruses, InDels cause dramatic phenotypic changes that contribute to the emergence of viruses with altered immune profiles and host engagement. This work aims to comprehensively quantify the mutational tolerance of an RNA virus to insertion, deletion, and substitution. Using Enterovirus A71 (EV-A71) as a prototype for the Enterovirus A species (EV-A) of picornaviruses, we engineered approximately 45,000 insertions, 6,000 deletions, and 41,000 amino acid changes across the 2,193 coding positions of the EV-A71 proteome, quantifying their effects on viral fitness and comprehensively mapping evolutionary constraint across the viral proteome. In contrast with amino acid changes, the vast majority of InDels are lethal to virus growth. Most that are tolerated reside at a few hotspot regions. These tolerant sites highlight structurally flexible and mutationally plastic regions of EV-A71 proteins that avoid core structural and functional elements, but often overlap with key sites of host- and immune-recognition, suggesting a complex evolutionary role for InDels and substitutions at these sites. Phylogenetic analysis examining EV-A species isolated from diverse mammalian hosts reveals that many of the experimentally-identified hotspots also correspond to sites of natural InDel diversity across the more diverse EV-A species, suggesting these hotspots of mutational tolerance in EV-A genomes may have contributed to past phenotypic diversification of EV-A. Insights from this and future mutational scanning studies mapping viral evolutionary potential will inform better epidemiological monitoring and Enterovirus vaccine development.
DOI: 10.6084/m9.figshare.26065243.v1
title: A Comprehensive Map of Evolutionary Constraints Across the Enterovirus A Genome

description: These data were collected by sequencing the input and output libraries from deep mutational, insertional and deletional scanning experiments. Data was processed by next-gen sequencing pipelines, in-house scripts and published software to interpret the fitness effects of mutations engineered in the EV-A71 genome. Data was visualized using R packages, inlcuding ggplot2. 

Abstract: Insertions and deletions (InDels) are essential sources of novelty in protein evolution. In RNA viruses, InDels cause dramatic phenotypic changes that contribute to the emergence of viruses with altered immune profiles and host engagement. This work aims to comprehensively quantify the mutational tolerance of an RNA virus to insertion, deletion, and substitution. Using Enterovirus A71 (EV-A71) as a prototype for the Enterovirus A species (EV-A) of picornaviruses, we engineered approximately 45,000 insertions, 6,000 deletions, and 41,000 amino acid changes across the 2,193 coding positions of the EV-A71 proteome, quantifying their effects on viral fitness and comprehensively mapping evolutionary constraint across the viral proteome. In contrast with amino acid changes, the vast majority of InDels are lethal to virus growth. Most that are tolerated reside at a few hotspot regions. These tolerant sites highlight structurally flexible and mutationally plastic regions of EV-A71 proteins that avoid core structural and functional elements, but often overlap with key sites of host- and immune-recognition, suggesting a complex evolutionary role for InDels and substitutions at these sites. Phylogenetic analysis examining EV-A species isolated from diverse mammalian hosts reveals that many of the experimentally-identified hotspots also correspond to sites of natural InDel diversity across the more diverse EV-A species, suggesting these hotspots of mutational tolerance in EV-A genomes may have contributed to past phenotypic diversification of EV-A. Insights from this and future mutational scanning studies mapping viral evolutionary potential will inform better epidemiological monitoring and Enterovirus vaccine development.
DOI: 10.15468/dl.568gpj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrotarsus compunctus (Wollaston, 1865)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006100-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.26264861
title: Highly Efficient Narrow Bandgap Cu(In,Ga)Se2 Solar Cells with Enhanced Open Circuit Voltage for Tandem Application

description: The source data of the manuscript.
DOI: 10.6084/m9.figshare.27176106
title: Global climatological dataset of undersea acoustic parameters derived from the NCEI World Ocean Atlas 2023

description: Acoustics is most effective in undersea detection, localization, and communication. Establishment of a global climatological dataset of undersea acoustic parameters becomes urgent. In building such a dataset, first we use the Thermodynamic Equation of Seawater-2010 (TEOS-10) to calculate the sound speed (SS) from the gridded temperature and salinity fields of the NOAA/NCEI World Ocean Atlas 2023. Second, we determine the depth of overall minimum from SS profile as the deep sound channel (DSC) axis depth, the depth of overall maximum between the surface and DSC axis as the sonic layer depth (SLD), the depth of the local minimum between SLD and DSC axis as the second sound channel (SSC) depth, and the depth with the SS equalling the maximum SS as the critical depth. Third, we obtain the SS at the surface, SLD, DSC axis, and SSC axis. Fourth, we determine the other acoustic parameters such as In-layer gradient, below layer gradient, DSC strength, SSC strength, depth excess, and surface duct cut-off frequency. The dataset is publicly available.
DOI: 10.6084/m9.figshare.27176106.v1
title: Global climatological dataset of undersea acoustic parameters derived from the NCEI World Ocean Atlas 2023

description: Acoustics is most effective in undersea detection, localization, and communication. Establishment of a global climatological dataset of undersea acoustic parameters becomes urgent. In building such a dataset, first we use the Thermodynamic Equation of Seawater-2010 (TEOS-10) to calculate the sound speed (SS) from the gridded temperature and salinity fields of the NOAA/NCEI World Ocean Atlas 2023. Second, we determine the depth of overall minimum from SS profile as the deep sound channel (DSC) axis depth, the depth of overall maximum between the surface and DSC axis as the sonic layer depth (SLD), the depth of the local minimum between SLD and DSC axis as the second sound channel (SSC) depth, and the depth with the SS equalling the maximum SS as the critical depth. Third, we obtain the SS at the surface, SLD, DSC axis, and SSC axis. Fourth, we determine the other acoustic parameters such as In-layer gradient, below layer gradient, DSC strength, SSC strength, depth excess, and surface duct cut-off frequency. The dataset is publicly available.
DOI: 10.15468/dl.n49z27
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mycetochara melandryina Roubal, 1934",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006104-241126133413365/datasets/export for details.
DOI: 10.15468/dl.nxhxsu
title: Occurrence Download

description: A dataset containing 1150 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Convolvulus ammannii Desr."
 ]
}

 The dataset includes 1150 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006102-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fcv8k
title: Occurrence Download

description: A dataset containing 139 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 one of (Roscoea purpurea Sm.)"
 ]
}

 The dataset includes 139 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006105-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxhp8y
title: Occurrence Download

description: A dataset containing 1209474 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is RU-BIRDS.RU, Birds observations database from Russia and neighboring regions. Zoological Museum of M.V. Lomonosov Moscow State University."
 ]
}

 The dataset includes 1209474 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006038-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8j9p6
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nesotes azoricus (Crotch, 1867)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006106-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hc3853
title: Occurrence Download

description: A dataset containing 238571 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyprinus carpio Linnaeus, 1758"
 ]
}

 The dataset includes 238571 records from 913 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006045-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jk3r25
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tarphius acuminatus Gillerfors, 1986",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006107-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8qaxe
title: Occurrence Download

description: A dataset containing 139 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 one of (Roscoea purpurea Sm.)"
 ]
}

 The dataset includes 139 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006108-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dyw5s
title: Occurrence Download

description: A dataset containing 25024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Amblyrhynchus cristatus Bell, 1825, Cynanthus latirostris Swainson, 1827)",
 "Year 1857-2010"
 ]
}

 The dataset includes 25024 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006109-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9bnqd
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tarphius depressus Gillerfors, 1985",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 90 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006111-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53v8mp
title: Occurrence Download

description: A dataset containing 704 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fiocruz/CFAM - Coleção de Fungos da Amazônia"
 ]
}

 The dataset includes 704 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006113-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzypme
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tarphius floresensis Borges & Serrano, 2017",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 120 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006115-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8d5dh
title: Occurrence Download

description: A dataset containing 66 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 one of (Roscoea schneideriana (Loes.) Cowley)"
 ]
}

 The dataset includes 66 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006116-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7v7m46
title: Occurrence Download

description: A dataset containing 149601 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Procyon lotor (Linnaeus, 1758)"
 ]
}

 The dataset includes 149601 records from 489 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018245-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15184537
title: Impact of extreme wildfires on the geotechnical properties of volcanic soils: A specific dataset from Central-Southern Chile

description: The volcanic soil samples analyzed in this study were collected during comprehensive field investigations. Sampling sites were precisely determined by delineating the perimeters of the 2023 extreme wildfire in Chile using high-resolution Sentinel-2 satellite imagery. Soil pits were excavated at eight locations, with depths reaching up to 1.5 m. In-situ tests conducted included Dynamic Cone Penetrometer (DCP), density measurements, and hydraulic conductivity assessments. Laboratory tests on soil samples included particle size distribution, modified Proctor compaction, California Bearing Ratio (CBR), unconfined compression tests, pH measurement, and loss on ignition. These test were conducted following precise sample preparation and protocols aligned with international standards, using exclusively standardized equipment.
DOI: 10.5281/zenodo.15184538
title: Impact of extreme wildfires on the geotechnical properties of volcanic soils: A specific dataset from Central-Southern Chile

description: The volcanic soil samples analyzed in this study were collected during comprehensive field investigations. Sampling sites were precisely determined by delineating the perimeters of the 2023 extreme wildfire in Chile using high-resolution Sentinel-2 satellite imagery. Soil pits were excavated at eight locations, with depths reaching up to 1.5 m. In-situ tests conducted included Dynamic Cone Penetrometer (DCP), density measurements, and hydraulic conductivity assessments. Laboratory tests on soil samples included particle size distribution, modified Proctor compaction, California Bearing Ratio (CBR), unconfined compression tests, pH measurement, and loss on ignition. These test were conducted following precise sample preparation and protocols aligned with international standards, using exclusively standardized equipment.
DOI: 10.5281/zenodo.15200020
title: Impact of extreme wildfires on the geotechnical properties of volcanic soils: A specific dataset from Central-Southern Chile

description: The volcanic soil samples analyzed in this study were collected during comprehensive field investigations. Sampling sites were precisely determined by delineating the perimeters of the 2023 extreme wildfire in Chile using high-resolution Sentinel-2 satellite imagery. Soil pits were excavated at eight locations, with depths reaching up to 1.5 m. In-situ tests conducted included Dynamic Cone Penetrometer (DCP), density measurements, and hydraulic conductivity assessments. Laboratory tests on soil samples included particle size distribution, modified Proctor compaction, California Bearing Ratio (CBR), unconfined compression tests, pH measurement, and loss on ignition. These test were conducted following precise sample preparation and protocols aligned with international standards, using exclusively standardized equipment.
DOI: 10.5281/zenodo.15133039
title: InfoCarb: Forest Inventory of the Autonomous Province of Trento (Trentino), Italy

description:  InfoCarb: Forest Inventory of the Autonomous Province of Trento (Trentino), Italy 

Forest Carbon Stocks in the Province of Trento inventory of Trentino based on 150 plots (15 m radius) over 6200 Km2 land area. Estimation of organic carbon pools stored above and below-ground. Quantitative description of forest specific composition and structure. Year 2002. 

The dataset includes the following .csv formatted files:



INFOCARB_DATASET_(ENG)_v1.0

INFOCARB_SPECIES_(ENG)_v1.0

Metadata InfoCarb (ENG) species codes_v1.0

Metadata InfoCarb categorical variables_v1.0

Metadata InfoCarb data licence and info_v1.0

Metadata InfoCarb numerical variables_v1.0

Metadata InfoCarb species codes_v1.0


 

Discalimer: The dataset refers to measurements carried out in 150 forest plots in the province of Trentino in the years 2001-2002. A severe windstorm in October 2018 (Vaia storm) caused extensive windthrows over 20 thousand hectares, in most forest areas of the province.

This dataset was prepared as a contribution to the Work Package 4 of the Open Earth Monitor project (funded from the European Union's Horizon Europe research and innovation programme under grant agreement No. 101059548 ) - https://earthmonitor.org
DOI: 10.5281/zenodo.15133040
title: InfoCarb: Forest Inventory of the Autonomous Province of Trento (Trentino), Italy

description:  InfoCarb: Forest Inventory of the Autonomous Province of Trento (Trentino), Italy 

Forest Carbon Stocks in the Province of Trento inventory of Trentino based on 150 plots (15 m radius) over 6200 Km2 land area. Estimation of organic carbon pools stored above and below-ground. Quantitative description of forest specific composition and structure. Year 2002. 

The dataset includes the following .csv formatted files:



INFOCARB_DATASET_(ENG)_v1.0

INFOCARB_SPECIES_(ENG)_v1.0

Metadata InfoCarb (ENG) species codes_v1.0

Metadata InfoCarb categorical variables_v1.0

Metadata InfoCarb data licence and info_v1.0

Metadata InfoCarb numerical variables_v1.0

Metadata InfoCarb species codes_v1.0


 

Discalimer: The dataset refers to measurements carried out in 150 forest plots in the province of Trentino in the years 2001-2002. A severe windstorm in October 2018 (Vaia storm) caused extensive windthrows over 20 thousand hectares, in most forest areas of the province.

This dataset was prepared as a contribution to the Work Package 4 of the Open Earth Monitor project (funded from the European Union's Horizon Europe research and innovation programme under grant agreement No. 101059548 ) - https://earthmonitor.org
DOI: 10.5281/zenodo.15021712
title: PATRIS (Parameterization of Trentino forest types by rapid forest inventory)

description: PATRIS (Parameterization of Trentino forest types by rapid forest inventory)

The dataset consists of relascopic measurements (807 plots) and forest structure parameters (LAI, clumping index, gap fraction by zenith angle range) derived from hemispheric photos over 401 plots in the province of Trento. Years: 2004-2005. 

The dataset includes the following .csv formatted files:



Metadata PaTRIS (ENG) categorical variables_v1.0

Metadata PaTRIS (ENG) data licence and info_v1.0

Metadata PaTRIS (ENG) numerical variables_v1.0

Metadata PaTRIS (ENG) species codes_v1.0

PaTRIS_data_v1.0


Discalimer: The dataset refers to measurements taken in 2004-2005 in the Autonomous Province of Trento (Trentino). A severe windstorm in October 2018 (Vaia storm) caused  extensive windthrows over 20 thousand hectares  in most forest areas of the province, including those included in the dataset.

The PATRIS dataset was used in the following publication, which can be consulted for methodological details:

Tonolli S.  Dalponte M. Neteler M. Rodeghiero M. Vescovo L. Gianelle D. (2011)  Fusion of airborne LiDAR and satellite multispectral data for the estimation of timber volume in the Southern Alps. Remote Sensing of Environment, Volume 115, Issue 10, 2011 ,Pages 2486-2498,  ISSN 0034-4257, https://doi.org/10.1016/j.rse.2011.05.009.

This dataset was prepared as a contribution to the Work Package 4 of the Open Earth Monitor project (funded from the European Union's Horizon Europe research and innovation programme under grant agreement No. 101059548 ) - https://earthmonitor.org