cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.905qfttnv
title: Exposure to thermal extremes favours higher solar reflectivity in intertidal gastropods

description: During low tides, intertidal animals can be exposed to temperature
 extremes that can be near or exceed the animals’ thermal limits.
 Reflectance of solar radiation could be critical to prevent overheating
 for animals that remain exposed to the sun; however, most studies ignore
 near-infrared (NIR) wavelengths that comprise approximately half of solar
 energy.  Here, we conduct a phylogenetically controlled analysis
 to test whether the reflectivity of intertidal gastropod species is
 associated with solar exposure. For nineteen gastropod species, we
 quantified UV, visible and NIR reflectance and documented microhabitat at
 low tide. Gastropods from exposed microhabitats had greater total
 reflectivity than those from sheltered microhabitats. The difference
 between microhabitats was greater for dry shells than wet shells, for
 which evaporative cooling may be a more important means of reducing heat
 gain. Dry shells from exposed microhabitats had higher reflectivity in NIR
 wavelengths even after controlling for UV-visible reflectivity, supporting
 selection for thermal benefits independent of visual benefits such as
 camouflage. Based on a heating rate experiment and thermal imaging,
 gastropods with high shell reflectivity had a lower heating rate in
 natural conditions than those with low shell reflectivity. Together, these
 studies show that reflectivity can play a crucial role in thermoregulation
 in extreme environments.
description: R studio for the R scripts and RProj file.
 BEAST, open the xml file in BEAUTi.exe (which is part of the
 BEAST2 package)
DOI: 10.22008/promice/data/ice_discharge/d/v02/gffu5z
title: GIS.nc

description: Greenland discharge, coverage, and error. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/ou4psa
title: GIS_err.csv

description: Greenland error. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/8orlp1
title: region_coverage.csv

description: Regional coverage. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/yeobhi
title: README.txt

description: README. Git hash: 9af6221
DOI: 10.5061/dryad.v41ns1s01
title: Data from: Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study

description: The study material in GWAS panel with 280 common bread wheat genotypes was
 selected from All India Coordinated Research Project on Wheat and Barley
 to map the genomic regions responsible for enhanced Grain Zinc Content
 (GZnC), Grain Iron Content (GZnC) and Thousand Kernel weight (TKW).
 Phenotypic data: The GWAS panel was evaluated at five different
 environments: E1-University of Agricultural Sciences, research farm,
 Dharwad (15°29'20.71"N, 74°59'3.35"E, 750m AMSL),
 E2-ICAR- Indian Agricultural Research Institute, New Delhi (28°38′30.5″N,
 77°09′58.2″E, 228 m AMSL), E3-Indian Agricultural Research Institute,
 Jharkhand (24°16'58.4"N, 85°21'16.1"E, 651m AMSL),
 E4-ICAR-Indian Institute of Wheat and Barley, Karnal
 (29°41'8.2644''N,
 76°59'25.9692''E,  250m AMSL), and
 E5-Punjab Agricultural University, Ludhiana (30o54' N, 75o48'E,
 247m AMSL). Around 20 g of grain sample from each genotype were used for
 phenotyping GFeC and GZnC through high-throughput Energy Dispersive X-ray
 Fluorescence (ED-XRF) machine (model X-Supreme 8000; Oxford Instruments
 plc, Abingdon, United Kingdom) calibrated with glass beads-based values.
 To record TKW, the Numigral grain counter was used to count the grain
 number, the reading was set at 1000 grains and the weight of the grains
 was recorded in grams with an electronic balance. The GFeC, GZnC were
 expressed as milligram per kilogram (mg/kg), GPC in percentage (%), TKW in
 grams (gms). Genotypic data: Genomic DNA of the GWAS panel was extracted
 from the leaves of 21 days-old seedlings by Cetyl Trimethyl Ammonium
 Bromide (CTAB) method. The panel was genotyped using Axiom Wheat Breeder’s
 Genotyping Array (Aﬀymetrix, Santa Clara, CA, United States) having 35,143
 genome-wide SNPs. The monomorphic, markers with minor allele frequency
 (MAF) of &lt;5%, missing data of &gt;20%, and heterozygote
 frequency &gt;25% were removed from the analysis. The remaining set of
 14,790 high-quality SNPs was used in GWAS analysis. The detailed
 information of the methods and software used, data analysis and GWAS is
 available at DOI: 10.1038/s41598-022-15992-z.
DOI: 10.22008/promice/data/ice_discharge/d/v02/ydskpl
title: region_D.csv

description: Regional discharge. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/dkcqes
title: region_err.csv

description: Regional error. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/hbynqt
title: region.nc

description: Regional discharge, coverage, and error. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/4r4pho
title: sector_D.csv

description: Sector discharge. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/v9or8i
title: sector_coverage.csv

description: Sector coverage. Git hash: 9af6221
DOI: 10.5061/dryad.pvmcvdnpn
title: Fine-scale spatial genetic structure in a locally abundant native bunchgrass (Achnatherum thurberianum) including distinct lineages revealed within seed transfer zones

description: Analyses of the factors shaping genetic variation in widespread plant
 species are important for understanding evolutionary history and local
 adaptation and have applied significance for guiding conservation and
 restoration decisions. Thurber’s needlegrass (Achnatherum thurberianum) is
 a widespread, locally abundant grass that inhabits heterogeneous arid
 environments of western North America and is of restoration significance.
 It is a common component of shrubland steppe communities in the Great
 Basin Desert, where drought, fire, and invasive grasses have degraded
 natural communities. Using a reduced representation sequencing approach,
 we generated SNP data at 5,677 loci across 246 individuals from
 17 A. thurberianum populations spanning five previously
 delineated seed zones from the western Great Basin. Analyses revealed
 pronounced population genetic structure, with individuals forming
 consistent geographical clusters across a variety of population genetic
 analyses and spatial scales. Low levels of genetic diversity within
 populations, as well as high population estimates of linkage
 disequilibrium and relatedness, were consistent with self-fertilization as
 a contributor to population differentiation. Variance partitioning and
 partial redundancy analysis (pRDA) indicated local adaptation to
 environment as additionally influencing the spatial distribution of
 genetic variation. The environmental variables driving these results were
 similar to those implicated in recent genecological work which inferred
 local adaptation for seed zone delineation. Our analyses also revealed a
 complex evolutionary history of A. thurberianum in the
 Great Basin, where previously delineated seed zones contain distantly
 related populations. Our results indicate evolutionary history, mating
 system, and differentiation across distinct geographic and environmental
 scales have shaped genetic variation in A.
 thurberianum and illustrate how numerous aspects of population
 genetic variation might require consideration for restoration planning.
description: # Fine-scale spatial genetic structure in a locally abundant native
 bunchgrass (Achnatherum thurberianum) including distinct lineages revealed
 within seed transfer zones This dataset includes the final trimmed
 Achnatherum thurberianum vcf file, the raw phylogenetic tree obtained with
 IQ-TREE, and an html with scripts that sustain the finding of this study.
DOI: 10.22008/promice/data/ice_discharge/d/v02/bwcbgn
title: sector_err.csv

description: Sector error. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/lbitxs
title: sector.nc

description: Sector discharge, coverage, and error. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/y2acax
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/nup5ma
title: GIS.nc

description: Greenland discharge, coverage, and error. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/brikhl
title: region.nc

description: Regional discharge, coverage, and error. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/p2yr27
title: sector.nc

description: Sector discharge, coverage, and error. Git hash: 9af6221
DOI: 10.22008/promice/data/ice_discharge/d/v02/evndz4
title: gate_coverage.csv

description: Gate coverage. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/zqfaio
title: gate_D.csv

description: Gate discharge. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/jiww2j
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/vx1ol0
title: gate_err.csv

description: Gate errors. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/dxks9g
title: GIS_coverage.csv

description: Greenland coverage. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/edy2nk
title: GIS_D.csv

description: Greenland discharge. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/ns5aj0
title: GIS_err.csv

description: Greenland error. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/ispjeh
title: GIS.nc

description: Greenland discharge, coverage, and error. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/tsctyi
title: README.txt

description: README. Git hash: bc0d968
DOI: 10.5061/dryad.j0zpc86hg
title: Hemiboea shimentaiensis (Gesneriaceae), a new species from northern Guangdong, China

description: Hemiboea shimentaiensis (Gesneriaceae), a new species from northern
 Guangdong, China, is described and illustrated. It is most similar to H.
 gamosepala, H. rubribracteata and H. malipoensis in the nearly white
 corolla, which appears in a few species of Hemiboea, and nearly glabrous
 inner base of the corolla tube. It can be easily distinguished from the
 latter three species by the stoloniferous habit, distinct silvery veins,
 glabrous corolla except for a ring of hairs inside, anther coherent along
 ventral face when young, but cohering apically at maturity, three separate
 staminodes with lateral ones resembling deformed anthers, and with few
 sterile pollen grains inside, to antheroids at the tips of the staminodes.
 The life cycle and fluctuations in the population are unknown and need
 further study, the conservation status of H. shimentaiensis was not
 assessed.
DOI: 10.22008/promice/data/ice_discharge/d/v02/wxitj9
title: region_coverage.csv

description: Regional coverage. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/btjmg8
title: region_D.csv

description: Regional discharge. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/tzb697
title: region_err.csv

description: Regional error. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/fibazx
title: sector_coverage.csv

description: Sector coverage. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/nvkoth
title: region.nc

description: Regional discharge, coverage, and error. Git hash: bc0d968
DOI: 10.5061/dryad.tb2rbp036
title: Richness and resilience in the Pacific: DNA metabarcoding enables parallelized evaluation of biogeographic patterns

description: Islands make up a large proportion of Earth’s biodiversity, yet are also
 some of the most sensitive systems to environmental perturbation.
 Biogeographic theory predicts that geologic age, area, and isolation
 typically drive islands’ diversity patterns, and thus potentially impact
 non-native spread and community homogenization across island systems. One
 limitation in testing such predictions has been the difficulty of
 performing comprehensive inventories of island biotas and distinguishing
 native from introduced taxa. Here, we use DNA metabarcoding and
 statistical modeling as a high throughput method to survey community-wide
 arthropod richness, the proportion of native and non-native species, and
 the incursion of non-natives into primary habitats on three archipelagos
 in the Pacific - the Ryukyus, the Marianas and Hawaii - which vary in age,
 isolation and area. Diversity patterns largely match expectations based on
 island biogeography theory, with the oldest and most geographically
 connected archipelago, the Ryukyus, showing the highest taxonomic richness
 and the lowest proportion of introduced species. Moreover, we find
 evidence that forest habitats are more resilient to incursions of
 non-natives in the Ryukyus than in the less taxonomically rich
 archipelagos. Surprisingly, we do not find evidence for biotic
 homogenization across these three archipelagos: the assemblage of
 non-native species on each island is highly distinct. Our study
 demonstrates the potential of DNA metabarcoding to facilitate rapid
 estimation of biogeographic patterns, the spread of non-native species,
 and the resilience of ecosystems.
DOI: 10.22008/promice/data/ice_discharge/d/v02/zlhxsj
title: sector_D.csv

description: Sector discharge. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/gqdtyq
title: sector_err.csv

description: Sector error. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/tftdlo
title: sector.nc

description: Sector discharge, coverage, and error. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/9z2fm0
title: gate_coverage.csv

description: Gate coverage. Git hash: bc0d968
DOI: 10.5061/dryad.7wm37pvwr
title: A climate risk index for marine life

description: Climate change is impacting virtually all marine life. Adaptation
 strategies will require a robust understanding of the risk to species and
 ecosystems and how those propagate to human societies. We develop a
 unified and spatially explicit index to comprehensively evaluate the
 climate risks to marine life. Under high emissions (SSP5-8.5), almost 90%
 of ~25,000 species are at high or critical risk, with species at risk
 across 85% of their native distributions. One-tenth of the ocean contains
 ecosystems where the aggregated climate risk, endemism, and extinction
 threat of their constituent species are high. Climate change poses the
 greatest risk for exploited species in low-income countries with high
 dependence on fisheries. Mitigating emissions (SSP1-2.6) reduces the risk
 for virtually all species (98.2%), enhances ecosystem stability, and
 disproportionally benefits food-insecure populations in low-income
 countries. Our climate risk assessment can help prioritize vulnerable
 species and ecosystems for climate-adapted marine conservation and
 fisheries management efforts.
DOI: 10.22008/promice/data/ice_discharge/d/v02/35zprq
title: gate_err.csv

description: Gate errors. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/5sypn9
title: gate_D.csv

description: Gate discharge. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/pjwctu
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/zp2eog
title: GIS_coverage.csv

description: Greenland coverage. Git hash: bc0d968
DOI: 10.5061/dryad.zs7h44jck
title: Does mast seeding shape mating time in wild boar? A comparative study

description: In seasonal environments, the timing of reproduction often matches with
 the peak of food resources. One well-known effect of global warming is an
 earlier phenology of resources, leading to a possible mismatch between
 timing of reproduction for consumers and food peak. However, global
 warming may also change the dynamics of food resources, such as the
 intensity and frequency of pulsed mast seeding. How quantitative changes
 in mast seeding influence the timing of reproduction of seed consumers
 remains unexplored. Here, we assess how yearly variation in mast seeding
 influences mating time in wild boar (Sus scrofa), a widespread seed
 consumer species. We took advantage of the intensive monitoring of both
 female reproduction (1,636 females) and acorn production over 6
 consecutive years across 15 populations of wild boar in the wild. We found
 that mating time occurs earlier when acorn production increases in most
 but not all populations. In three out of fifteen populations, heavy
 females mated earlier than light ones. Our findings demonstrate that mast
 seeding does shape mating time in wild boar females, but differently
 across populations. This high plasticity of mating times in wild boar
 indicates that females locally adapt to environmental conditions.
DOI: 10.22008/promice/data/ice_discharge/d/v02/2md89r
title: GIS_D.csv

description: Greenland discharge. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/2hktu1
title: GIS_err.csv

description: Greenland error. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/p5po5q
title: GIS.nc

description: Greenland discharge, coverage, and error. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/kmizir
title: region_coverage.csv

description: Regional coverage. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/crbalt
title: region_err.csv

description: Regional error. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/oc3son
title: region_D.csv

description: Regional discharge. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/abmcv4
title: sector_coverage.csv

description: Sector coverage. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/tkhh1y
title: region.nc

description: Regional discharge, coverage, and error. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/qoph4n
title: sector_D.csv

description: Sector discharge. Git hash: bc0d968
DOI: 10.5061/dryad.w9ghx3frv
title: Density functional theory study of Mobius boroncarbon-nitride as potential CH4, H2S, NH3, COCl2 and CH3OH gas sensor

description: The interesting properties of Mobius structure and Boron-Carbon-Nitride
 inspired this research to study different characteristics of Mobius
 Boron-Carbon-Nitride (MBCN) nanoribbon. The structural stability,
 vibrational, electrical, and optical properties are analyzed using the
 density functional theory. The gas sensing ability of the modeled MBCN
 structure was also studied for CH4, H2S, NH3, COCl2, and CH3OH gases. The
 negative adsorption energy and alteration of electronic bandgap verified
 that MBCN is very sensitive toward the selected gases. The complex
 structures showed a high absorption coefficient with strong chemical
 potential and 7 ps- 0.3 ms recovery time. The negative change in entropy
 signifies that all the complex structures were thermodynamically stable.
 Among the selected gases, the MBCN showed the strongest interaction with
 CH3OH gas.
DOI: 10.22008/promice/data/ice_discharge/d/v02/trhstq
title: sector_err.csv

description: Sector error. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/tvmf1r
title: sector.nc

description: Sector discharge, coverage, and error. Git hash: bc0d968
DOI: 10.22008/promice/data/ice_discharge/d/v02/8paseb
title: gate_D.csv

description: Gate discharge. Git hash: 02f6877
DOI: 10.22008/promice/data/ice_discharge/d/v02/jcrxj6
title: gate_coverage.csv

description: Gate coverage. Git hash: 02f6877
DOI: 10.22008/promice/data/ice_discharge/d/v02/w0ev9v
title: gate_err.csv

description: Gate errors. Git hash: 02f6877
DOI: 10.25349/d92s50
title: 2003 Piru Fire Historical Imagery

description: The increased occurrences of drought and fire may be contributing to the
 loss of biodiverse ecosystems in Mediterranean regions. Specifically, the
 conversion of diverse native shrublands, such as chaparral, to non-native
 annual grassland by fire is of great conservation concern in California.
 To avoid or slow the loss of chaparral, it is important to understand the
 underlying causes of landscape conversion. Studies investigating the
 interaction of multiple potential drivers are particularly crucial to
 identification of vulnerable areas of the landscape. Here we used aerial
 imagery to evaluate vegetation transitions between chaparral, sage scrub,
 grassland, and tree domination and their potential drivers within Ventura
 County, California, a strongly Mediterranean climate region. We used
 random forest algorithms and conditional inference trees to determine the
 climatic, topographic, and fire-related variables contributing most to
 vegetation change. Our results support that chaparral conversion to grass
 (27% of chaparral plots) is a result of landscape position, fire, and
 drought acting in tandem. In particular, lower elevation, southwest facing
 slopes that experience a post fire drought are at very high likelihood of
 conversion to non-native annual grass. Additionally, our results show that
 these grasslands, once formed, rarely convert to other community types.
 Therefore, protecting shrub dominated areas that are most likely to
 convert (low elevation, more southwest facing slopes, less annual
 precipitation) is crucial to preserving native vegetation diversity.
description: 1930 aerial imagery was obtained from the Map and Image
 Laboratory at the University of California, Santa Barbara. Imagery is from
 the 1930 flight C-870 and was mapped on a scale of 1:18,000. The 2009
 imagery was obtained from the United States Geological Survey Digital
 Orthophoto Quarter Quads and is a true color aerial photograph at
 one-meter spatial resolution. The 1930 imagery was georectified to the
 2009 imagery using 300-400 ground control points. Ground control points
 were selected from temporally stable objects such as trees, rock outcrops,
 roads, and permanent structures. Each image was then warped using
 triangulation and pixels were resampled to the nearest neighbor, creating
 a georectified image with one-meter spatial resolution. Mosaicked images
 were then validated for spatial accuracy by identifying 40-100 ground
 control points and ensuring a root mean square error of 10 pixels or
 less. 
description: GIS software is required to view this imagery. Refer to the
 README.txt file for more information.
DOI: 10.22008/promice/data/ice_discharge/d/v02/i4qhju
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Git hash: 02f6877
DOI: 10.22008/promice/data/ice_discharge/d/v02/imdpom
title: GIS_coverage.csv

description: Greenland coverage. Git hash: 02f6877
DOI: 10.22008/promice/data/ice_discharge/d/v02/gnaqoz
title: GIS_D.csv

description: Greenland discharge. Git hash: 02f6877
DOI: 10.22008/promice/data/ice_discharge/d/v02/fmi2xz
title: GIS.nc

description: Greenland discharge, coverage, and error. Git hash: 02f6877
DOI: 10.22008/promice/data/ice_discharge/d/v02/wsoyue
title: GIS_err.csv

description: Greenland error. Git hash: 02f6877