cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29168405
title: <b>Thermal Properties and Ionic Conductivity in Salt-Containing POEM/PEO Polymer Blend Electrolytes</b>

description: Polymer blend electrolytes are one possible pathway to developing solid electrolytes with improved properties when compared to the widely studied poly(ethylene oxide) (PEO) and lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) system. However, many previously studied polymer blend electrolytes are not fully miscible at varying salt concentrations across the full blend composition window. In this study, we design a polymer blend electrolyte system that is fully miscible and characterize its thermal and ion transport properties. Poly (oligo ethylene oxide methacrylate) (POEM) is an ion conducting polymer with ethylene oxide side chains that can be varied in length. Our polymer blend electrolyte system contains PEO, POEM, and LiTFSI where we vary POEM monomer chemistry to determine the effect of side chain length and molecular weight on blend properties. All PEO/POEM/LiTFSI blends were miscible, regardless of POEM monomer structure, blend composition, or salt concentration. We characterize the blend properties using differential scanning calorimetry (DSC) and variable-temperature electrochemical impedance spectroscopy (EIS). Using the blend glass transition temperature and a modified Fox Equation, we are able to determine the salt partitioning within the system and quantify changes in the segmental dynamics of the polymer blend. We find that while Li ions are primarily solvated by PEO, the POEM monomer structure determines the extent. Through EIS, we find that longer side chains more easily solvate the Li ions<sup> </sup>and have higher ionic conductivities. This study shows that engineering the solvation structure and segmental dynamics of salt-doped polymer blend can lead to developing electrolytes with improved ion transport properties for battery applications.
DOI: 10.6084/m9.figshare.29168405.v1
title: <b>Thermal Properties and Ionic Conductivity in Salt-Containing POEM/PEO Polymer Blend Electrolytes</b>

description: Polymer blend electrolytes are one possible pathway to developing solid electrolytes with improved properties when compared to the widely studied poly(ethylene oxide) (PEO) and lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) system. However, many previously studied polymer blend electrolytes are not fully miscible at varying salt concentrations across the full blend composition window. In this study, we design a polymer blend electrolyte system that is fully miscible and characterize its thermal and ion transport properties. Poly (oligo ethylene oxide methacrylate) (POEM) is an ion conducting polymer with ethylene oxide side chains that can be varied in length. Our polymer blend electrolyte system contains PEO, POEM, and LiTFSI where we vary POEM monomer chemistry to determine the effect of side chain length and molecular weight on blend properties. All PEO/POEM/LiTFSI blends were miscible, regardless of POEM monomer structure, blend composition, or salt concentration. We characterize the blend properties using differential scanning calorimetry (DSC) and variable-temperature electrochemical impedance spectroscopy (EIS). Using the blend glass transition temperature and a modified Fox Equation, we are able to determine the salt partitioning within the system and quantify changes in the segmental dynamics of the polymer blend. We find that while Li ions are primarily solvated by PEO, the POEM monomer structure determines the extent. Through EIS, we find that longer side chains more easily solvate the Li ions<sup> </sup>and have higher ionic conductivities. This study shows that engineering the solvation structure and segmental dynamics of salt-doped polymer blend can lead to developing electrolytes with improved ion transport properties for battery applications.
DOI: 10.15468/dl.9mqh68
title: Occurrence Download

description: A dataset containing 722 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stelis signata (Latreille, 1809)"
 ]
}

 The dataset includes 722 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040235-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycgddz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphora veneta Kützing, 1844",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040236-250525065834625/datasets/export for details.
DOI: 10.5066/p14hvqhw
title: North American Bat Monitoring Program (NABat) OneHealth (ver. 2.0, June 2025)

description: This dataset documents the results of large-scale surveillance efforts to assess coronavirus prevalence in North American bats. Wildlife monitoring is critical for establishing disease baselines and identifying key factors that inform conservation strategies aimed at reducing pathogen exposure among wildlife, domestic animals, and humans. Reports of SARS-CoV-2 in free-ranging wildlife in North America have raised concerns about potential exposure in bats, with potential implications for both conservation and human health. Here, we leveraged the North American Bat Monitoring Program to (1) assess whether bats were actively shedding coronaviruses, including SARS-CoV-2, (2) examine whether landscape variation in coronavirus shedding was associated with resource availability, and (3) investigate temporal variation in shedding and its relationship with individual characteristics such as body mass, sex, and reproductive status. We also used the same data to develop a bat roost discovery tool using Bayesian Additive Regression Trees (BART) and evaluated the predictive ability of this model against other commonly used approaches. We found that our model could be particularly useful for predicting which bridges can be excluded from survey efforts due to low probability of bat presence or signs of bat use. In this initial version of the data release for the broader NABat OneHealth project, we provide the survey data from bridge surveys which were used as inputs for our roost prediction model.
DOI: 10.15468/dl.5vyc6a
title: Occurrence Download

description: A dataset containing 942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-83.67541 36.56175,-74.69491 36.56175,-74.69491 41.72768,-83.67541 41.72768,-83.67541 36.56175))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Echinacea purpurea (L.) Moench",
 "Year 2022-2025"
 ]
}

 The dataset includes 942 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040239-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvhth5
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Systropha curvicornis (Scopoli, 1770)"
 ]
}

 The dataset includes 453 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040238-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82k3qc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lastrea maranguensis (Hieron.) Copel.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040237-250525065834625/datasets/export for details.
DOI: 10.15468/dl.jfg6s9
title: Occurrence Download

description: A dataset containing 674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Notropis chrosomus (Jordan, 1877)"
 ]
}

 The dataset includes 674 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040240-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhdnjz
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Systropha planidens Giraud, 1861"
 ]
}

 The dataset includes 247 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040242-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/gerp-xm68
title: "Multispectral Remote Sensing Image Database (MRSID)"

description: "Multispectral remote sensing images suffer from a wide range of degradations due to noise, blur, haze, compression, striping, and other distortions. While there is rich literature in the restoration of such multipsectral images, the quality assessment (QA) of multispectral images has received much less attention. In addition, often a reference image is not available, which motivates the study of no reference (NR) image QA (IQA). While several algorithms for NR-IQA have been designed for natural images, their relevance for multispectral images has not been validated. The major impediment to achieving this is the lack of a subjective QA database for validation. We make three contributions in our work. We first design a multispectral IQA database, namely Multispectral Remote Sensing Image Database (MRSID), with images suffering from various distortions and conduct a subjective study to obtain pairwise image quality rankings. We then benchmark several NR-IQA methods developed for natural images on MRSID. We show that recent vision-language based models can yield excellent performance when fine-tuned on our dataset, especially when multispectral images are trained with images pooled from all bands. Finally, we investigate the reasons for such superior performance and show that improving the alignment of features across different spectral bands can further improve performance."
DOI: 10.15468/dl.6z5shu
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphora veneta Kützing, 1844",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040243-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5va8yq
title: Occurrence Download

description: A dataset containing 501 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thyreus histrionicus (Illiger, 1806)"
 ]
}

 The dataset includes 501 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040244-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2bctg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lastrea maranguensis (Hieron.) Copel.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040245-250525065834625/datasets/export for details.
DOI: 10.15468/dl.8swh77
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thyreus orbatus (Lepeletier, 1841)"
 ]
}

 The dataset includes 494 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040246-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu4m2d
title: Occurrence Download

description: A dataset containing 50485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "TaxonKey is Rodentia"
 ]
}

 The dataset includes 50485 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040222-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byqt7c
title: Occurrence Download

description: A dataset containing 26862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Mexico, United States of America, Guatemala, El Salvador, Cuba, Haiti, Jamaica, Honduras, Panama)",
 "OccurrenceStatus is Present",
 "TaxonKey is Conium maculatum L.",
 "Year 1900-2025"
 ]
}

 The dataset includes 26862 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040248-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4xmwq
title: Occurrence Download

description: A dataset containing 897 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylocopa iris (Christ, 1791)"
 ]
}

 The dataset includes 897 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040249-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.awjded
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphora veneta Kützing, 1844",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040251-250525065834625/datasets/export for details.
DOI: 10.15468/dl.5tbupd
title: Occurrence Download

description: A dataset containing 4700336 species occurrences available in GBIF matching the query:
{
 "NetworkKey" : [
 "is 2ee1bff7-0b34-4fa3-9433-feaa7c6ee08b"
 ]
}

 The dataset includes 4700336 records from 518 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040218-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.566yxv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lastrea maranguensis (Hieron.) Copel.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040250-250525065834625/datasets/export for details.
DOI: 10.15468/dl.nyd4uz
title: Occurrence Download

description: A dataset containing 2477 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anasimyia contracta Claussen & Torp, 1980"
 ]
}

 The dataset includes 2477 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040253-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.va6pdr
title: Occurrence Download

description: A dataset containing 16297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Mexico, United States of America, Guatemala, El Salvador, Cuba, Haiti, Jamaica, Honduras, Panama)",
 "OccurrenceStatus is Present",
 "TaxonKey is Foeniculum vulgare Mill.",
 "Year 1900-2025"
 ]
}

 The dataset includes 16297 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040254-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsgsj8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lastrea maranguensis (Hieron.) Copel.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040255-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gn9wmu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anabaena Bory de Saint-Vincent ex Bornet & Flahault, 1886",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040256-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j99cf7
title: Occurrence Download

description: A dataset containing 1814 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anasimyia interpunctus (Harris, 1778)"
 ]
}

 The dataset includes 1814 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040257-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f7dz06f9
title: Map data of landslides triggered by the 25 April 2015 Mw 7.8 Gorkha, Nepal earthquake

description: The 25 April 2015 Mw 7.8 Gorkha earthquake and its aftershocks triggered about 25,000 landslides over an area of more than 30,000 km2 in the Greater and Lesser Himalaya of Nepal and China. In order to understand the relation among landslide location, earthquake shaking, topography, tectonic geologic and climatic setting, earthquake-triggered landslides were mapped using high-resolution (&amp;amp;lt;1m pixel resolution) pre- and post-event satellite imagery. Source and runout areas were differentiated and mapped separately. The data accompany an interpretive paper published in the journal Geomorphology.

The published products are separate ESRI ArcMap 10.2.2 shapefiles that comprise: (i) mapped landslide source areas, (ii) mapped landslide full areas (source, transport and deposit area combined), (iii) the extent of geographic areas in which mapping was completed, (iv) obscured areas in which the mapping is incomplete because of the lack of clear, undistorted satellite data from post-earthquake dates, and (v) image quality designation for mapped regions. 24,915 landslide areas were mapped in the full20170209.shp file (full areas) compared to 24,795 landslide areas in the source20170209.shp file (source areas). This small discrepancy in total number arises because of image distortion and partial cloud cover. One hundred forty two of the full areas lack an identifiable source area. Additionally, 10 full areas have 2 corresponding source areas because the full area could not be divided into 2 separate runout areas due to image distortion; 12 other source areas do not have corresponding full areas. 

This work was supported by a National Science Foundation (NSF) RAPID award from the Geomorphology and Land Use Dynamics program to West (EAR-1546630) and Clark (EAR-1546631), partially supported by NSF Geomorphology and Land Use Dynamics program (EAR-1640894 to West and EAR-1640797 to Clark and Zekkos), University of Michigan internal award to Clark and Zekkos (MCubed 2.0 Project ID 917) and a Swiss Federal Institute of Technology (ETH) Research Commission research grant (ETH-15 15-2) awarded to Gallen. We thank Paul Morin from the PGC (Polar Geospatial Center) for providing imagery access and support for acquiring satellite data through a NGA (National Geospatial-Intelligence Agency) cooperative agreement with NSF. We also thank Kristen Cook, William Greenwood, Julie Bateman, Bibek Giri, Maarten Lupker and John Galetzka for their assistance during a 2015 field expedition to Nepal.