cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/24ys9czvjc.1
title: Data for: Phylogenetic relationships and systematics of the Amazonian poison frog genus Ameerega using ultraconserved genomic elements

description: Supplemental data for the manuscript "Phylogenetic relationships and systematics of the Amazonian poison frog genus Ameerega using ultraconserved genomic elements". Contains per-locus alignments, tree files, and instructional code.
DOI: 10.17632/xc67mrmddr.1
title: Data for: Predicting heat transfer of oscillating heat pipes for machining processes based on extreme gradient boosting algorithm

description: This is the code for the heat transfer prediction model of oscillating heat pipes based on extreme gradient boosting algorithm.
DOI: 10.17632/sf4gwczxjd.1
title: Data for: The Effect of Pollution on Crime: Evidence From Data on Particulate Matter, Wildfire Smoke, and Ozone

description: This is the data and do file for the first round of review. We will gladly provide updated data and code if the journal accepts our article. The data and code will also be posted on the Colorado State University website.
DOI: 10.25345/c5ww9z
title: MassIVE MSV000084459 - pcDNA5_Empty_Vector_COT4_BioID
title: Empty Vector control - HEK293 cells - BioID VL_20151116_COT_04_HEK293_pcDNA5EV_HB
DOI: 10.7910/dvn/jykl9m/byybu4
title: in-sample.Rda

description: :unav
DOI: 10.7910/dvn/jykl9m/km2ip8
title: missing-map-1.Rda

description: :unav
DOI: 10.7910/dvn/jykl9m/qlqkyq
title: us-shape.Rda

description: :unav
DOI: 10.7910/dvn/jykl9m/vla8yc
title: coder-2.Rda

description: :unav
DOI: 10.7910/dvn/jykl9m/ztteaa
title: missing-map-2.Rda

description: :unav
DOI: 10.7910/dvn/jykl9m/bgjzaj
title: map-data.Rda

description: :unav
DOI: 10.7910/dvn/jykl9m/d4evge
title: audit.Rda

description: :unav
DOI: 10.7910/dvn/jykl9m/kbiadr
title: coder-1.Rda

description: :unav
DOI: 10.7910/dvn/jykl9m/ki24ku
title: codebooks.pdf

description: :unav
DOI: 10.7910/dvn/jykl9m/twg8ho
title: tables-figures.R

description: :unav
DOI: 10.7910/dvn/jykl9m/wa8nrp
title: readme.txt

description: :unav
DOI: 10.17638/datacat.liverpool.ac.uk/973
title: Conductance behavior of tetraphenyl-aza-BODIPYs
DOI: 10.5281/zenodo.3494639
title: cimr test data: 02

description: cimr test data
DOI: 10.5281/zenodo.3494640
title: cimr test data: 02

description: cimr test data
DOI: 10.6073/pasta/5e11b55bec248c720809f1d804e57302
title: Seasonal aboveground plant biomass estimates at 15 net primary production (NPP) study sites at Jornada Basin LTER from 1989-2012

description: This data package contains aboveground vegetation cover, volume, and calculated biomass values at the 15 Net Primary Production (NPP) study sites on Jornada Experimental Range (JER) and Chihuahuan Desert Rangeland Research Center (CDRRC) lands. Sites were selected to represent the 5 major ecosystem types in the Chihuahuan Desert (upland grasslands, playa grasslands, mesquite-dominated shrublands, creosotebush-dominated shrublands, tarbush-dominated shrublands). For each ecosystem type, three sites were selected to represent the range in variability in production and plant diversity; thus the locations are not replicates. At each site, a 1 hectare area was fenced in 1988 and a grid of 49 (48 at one playa location) 1m x 1m replicate quadrats was laid out when sampling began in 1989. For each quadrat, aboveground biomass has been calculated from two data sources: 1) non-destructive horizontal cover and vertical height measurements of individual plants, or plant parts, within each quadrat, and 2) linear regression coefficients for each plant species derived from off-quadrat cover, height, and harvested biomass measurements. Non-destructive measurements (1) are taken during winter, spring, and fall measurement campaigns, then aggregated by species for each quadrat, and resulting dimensions are used to calculate species biomass (grams) by quadrat and season using using the species-specific regression coefficients derived from dataset 2. This is the most detailed biomass dataset available and can be used to derive values of net primary production between seasons or annually. Each dataset record contains calculated biomass (and related variables) by species, quadrat, season, and site. Data collection is ongoing with new observations in spring, fall, and winter of each year, but this data package may be updated less frequently. Attention: 1) For most species, these data are not appropriate for estimates of percentage cover because of the way the data are collected. 2) Calculated values in this data package have changed over time as the methodology for estimating biomass has changed. 3) Relating long-term NPP derived from this package with long-term precipitation is problematic given the importance of wet and dry periods and their effect on production in these ecosystems. See Notes 1, 2, & 3 in the methods element for further details.
DOI: 10.5281/zenodo.3496250
title: M. tuberculosis bioinformatics training data

description: Inferred ancestral reference genome of <em>M. tuberculosis</em> combined with NCBI NC_000962.3 annotation in Genbank format.
DOI: 10.5281/zenodo.3492178
title: Research data supporting for "Characterization of recovery onset by subgrain and grain boundary migration in experimentally deformed polycrystalline olivine"

description: Abstract: To apprehend plate tectonics and the dynamics of the lithosphere–asthenosphere boundary, composed principally of olivine, we need to understand the mechanisms that control plastic deformation of olivine in the relevant temperature domain. After more than 50 years of laboratory studies and investigations on natural rocks, the interplay of several key parameters (e.g. temperature, pressure, vacancy concentration, dislocation densities, grain size, strain rate) controlling polycrystalline olivine plasticity remains difficult to assess. Here, we study four olivine polycrystals, which have been deformed in axial compression under a confining pressure of 300MPa, at 1273 or 1473 K. Despite significant differences in mechanical properties (stress–strain curves), previous characterization by scanning (SEM) and transmission electron microscopy (TEM) did not reveal significant differences in dislocation microstructures which could explain these contrasted behaviours. We have undertaken automatic crystallographic orientation mapping (ACOM) analyses in TEM to increase the spatial resolution of characterization compared to previously obtained electron backscatter diffraction maps to further decipher the microstructures at nanoscale. With this novel technique applied to olivine, a noticeable difference in the onset of microstructural recovery has been identified between specimens deformed at 1273 and 1473 K. The microstructures of the olivine polycrystals deformed at 1473K exhibit numerous curved grain and subgrain boundaries, advocating for recovery by boundary migration. In contrast, the microstructures of the olivine polycrystals deformed at 1273K have significantly fewer subgrain boundaries and show more straight boundaries (i.e. closer to an equilibrium microstructure) than in the specimen deformed at 1473 K. Characterization by ACOM-TEM has permitted the identification of the onset of recovery, which is led by boundary migration even for very low macroscopic finite strains.
description: This archive contains the files of raw orientation maps formatted as ".ang" which is a TSL single orientation file.
DOI: 10.5281/zenodo.3492179
title: Research data supporting for "Characterization of recovery onset by subgrain and grain boundary migration in experimentally deformed polycrystalline olivine"

description: Abstract: To apprehend plate tectonics and the dynamics of the lithosphere–asthenosphere boundary, composed principally of olivine, we need to understand the mechanisms that control plastic deformation of olivine in the relevant temperature domain. After more than 50 years of laboratory studies and investigations on natural rocks, the interplay of several key parameters (e.g. temperature, pressure, vacancy concentration, dislocation densities, grain size, strain rate) controlling polycrystalline olivine plasticity remains difficult to assess. Here, we study four olivine polycrystals, which have been deformed in axial compression under a confining pressure of 300MPa, at 1273 or 1473 K. Despite significant differences in mechanical properties (stress–strain curves), previous characterization by scanning (SEM) and transmission electron microscopy (TEM) did not reveal significant differences in dislocation microstructures which could explain these contrasted behaviours. We have undertaken automatic crystallographic orientation mapping (ACOM) analyses in TEM to increase the spatial resolution of characterization compared to previously obtained electron backscatter diffraction maps to further decipher the microstructures at nanoscale. With this novel technique applied to olivine, a noticeable difference in the onset of microstructural recovery has been identified between specimens deformed at 1273 and 1473 K. The microstructures of the olivine polycrystals deformed at 1473K exhibit numerous curved grain and subgrain boundaries, advocating for recovery by boundary migration. In contrast, the microstructures of the olivine polycrystals deformed at 1273K have significantly fewer subgrain boundaries and show more straight boundaries (i.e. closer to an equilibrium microstructure) than in the specimen deformed at 1473 K. Characterization by ACOM-TEM has permitted the identification of the onset of recovery, which is led by boundary migration even for very low macroscopic finite strains.
description: This archive contains the files of raw orientation maps formatted as ".ang" which is a TSL single orientation file.
DOI: 10.5281/zenodo.3492279
title: weecology/portalPredictions 2019-10-16

description: Using various models to forecast abundances at Portal
DOI: 10.5281/zenodo.3492280
title: weecology/forecasts 2019-10-16

description: Archived forecasts for future analysis
DOI: 10.21227/4s18-d868
title: NSGA-III

description: This paper presents a fast and open source extension based on the NSGA-II code stored in the repository of the Kanpur Genetic Algorithms Laboratory (KanGAL) and the adjustment of the selection operator. It slightly modifies existing well-established genetic algorithms for many-objective optimization called the NSGA-III, the adaptive NSGA-III (A-NSGA-III), and the efficient adaptive NSGA-III, (A$^2$-NSGA-III). The proposed method is tested on a range of benchmark problems and showcases notable performance improvement.NSGA-II and NSGA-III are frequently employed as a reference for a comparative evaluation of new evolutionary algorithms.However, the latter is proprietary and many researchers have been forced to implement it from scratch with lower performance. Our NSGA-III variations consider static and dynamic reference points where individuals in the first front are contemplated to obtain extreme points that are neither negatives nor repeated. Those algorithms resolve binary and real, constrained and non-constrained Multi-Objective and Many-objective problems. Additionally, when efficient adaptive NSGA-III is employed to solve the Car-Side Impact problem and the Water problem, we find not only visually well-distributed solutions, but also in terms of the Hyper-volume metric compared to the A-NSGA-III and the NSGA-III.
DOI: 10.21227/7t87-ds72
title: NSGA-III

description: This paper presents a fast and open source extension based on the NSGA-II code stored in the repository of the Kanpur Genetic Algorithms Laboratory (KanGAL) and the adjustment of the selection operator. It slightly modifies existing well-established genetic algorithms for many-objective optimization called the NSGA-III, the adaptive NSGA-III (A-NSGA-III), and the efficient adaptive NSGA-III, (A$^2$-NSGA-III). The proposed method is tested on a range of benchmark problems and showcases notable performance improvement.NSGA-II and NSGA-III are frequently employed as a reference for a comparative evaluation of new evolutionary algorithms.However, the latter is proprietary and many researchers have been forced to implement it from scratch with lower performance. Our NSGA-III variations consider static and dynamic reference points where individuals in the first front are contemplated to obtain extreme points that are neither negatives nor repeated. Those algorithms resolve binary and real, constrained and non-constrained Multi-Objective and Many-objective problems. Additionally, when efficient adaptive NSGA-III is employed to solve the Car-Side Impact problem and the Water problem, we find not only visually well-distributed solutions, but also in terms of the Hyper-volume metric compared to the A-NSGA-III and the NSGA-III.
DOI: 10.21227/jek7-py69
title: NSGA-III

description: This paper presents a fast and open source extension based on the NSGA-II code stored in the repository of the Kanpur Genetic Algorithms Laboratory (KanGAL) and the adjustment of the selection operator. It slightly modifies existing well-established genetic algorithms for many-objective optimization called the NSGA-III, the adaptive NSGA-III (A-NSGA-III), and the efficient adaptive NSGA-III, (A$^2$-NSGA-III). The proposed method is tested on a range of benchmark problems and showcases notable performance improvement.NSGA-II and NSGA-III are frequently employed as a reference for a comparative evaluation of new evolutionary algorithms.However, the latter is proprietary and many researchers have been forced to implement it from scratch with lower performance. Our NSGA-III variations consider static and dynamic reference points where individuals in the first front are contemplated to obtain extreme points that are neither negatives nor repeated. Those algorithms resolve binary and real, constrained and non-constrained Multi-Objective and Many-objective problems. Additionally, when efficient adaptive NSGA-III is employed to solve the Car-Side Impact problem and the Water problem, we find not only visually well-distributed solutions, but also in terms of the Hyper-volume metric compared to the A-NSGA-III and the NSGA-III.
DOI: 10.15468/dl.tdbxdt
title: Occurrence Download

description: A dataset containing 635 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allophylus racemosus (L.) Radlk."
 ]
}

 The dataset includes 635 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041510-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zfdmx
title: Occurrence Download

description: A dataset containing 9364 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactuca tatarica (L.) C.A.Mey."
 ]
}

 The dataset includes 9364 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041509-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pt4dr
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abies densa Griff."
 ]
}

 The dataset includes 141 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041513-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wvaau
title: Occurrence Download

description: A dataset containing 40697 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lathraea clandestina L."
 ]
}

 The dataset includes 40697 records from 564 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041512-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjre2m
title: Occurrence Download

description: A dataset containing 488 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leontodon asperrimus (Willd.) Boiss. ex Ball"
 ]
}

 The dataset includes 488 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041514-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjd6xr
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allophylus scrobiculatus (Poepp.) Radlk."
 ]
}

 The dataset includes 149 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041515-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5u5p7r
title: Occurrence Download

description: A dataset containing 151983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix caprea L."
 ]
}

 The dataset includes 151983 records from 1451 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041491-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/plate/dr.3/envelopes/102_23743
title: Digital object identifier (DOI) for the envelope 23743 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23744
title: Digital object identifier (DOI) for the envelope 23744 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23745
title: Digital object identifier (DOI) for the envelope 23745 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23746
title: Digital object identifier (DOI) for the envelope 23746 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23747
title: Digital object identifier (DOI) for the envelope 23747 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23748
title: Digital object identifier (DOI) for the envelope 23748 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23749
title: Digital object identifier (DOI) for the envelope 23749 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23750
title: Digital object identifier (DOI) for the envelope 23750 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23751
title: Digital object identifier (DOI) for the envelope 23751 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23752
title: Digital object identifier (DOI) for the envelope 23752 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23753
title: Digital object identifier (DOI) for the envelope 23753 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23754
title: Digital object identifier (DOI) for the envelope 23754 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23755
title: Digital object identifier (DOI) for the envelope 23755 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23756
title: Digital object identifier (DOI) for the envelope 23756 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23757
title: Digital object identifier (DOI) for the envelope 23757 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23758
title: Digital object identifier (DOI) for the envelope 23758 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23759
title: Digital object identifier (DOI) for the envelope 23759 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23760
title: Digital object identifier (DOI) for the envelope 23760 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23761
title: Digital object identifier (DOI) for the envelope 23761 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23762
title: Digital object identifier (DOI) for the envelope 23762 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23763
title: Digital object identifier (DOI) for the envelope 23763 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23764
title: Digital object identifier (DOI) for the envelope 23764 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23765
title: Digital object identifier (DOI) for the envelope 23765 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23766
title: Digital object identifier (DOI) for the envelope 23766 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23767
title: Digital object identifier (DOI) for the envelope 23767 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23768
title: Digital object identifier (DOI) for the envelope 23768 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23769
title: Digital object identifier (DOI) for the envelope 23769 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23770
title: Digital object identifier (DOI) for the envelope 23770 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23771
title: Digital object identifier (DOI) for the envelope 23771 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23772
title: Digital object identifier (DOI) for the envelope 23772 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23773
title: Digital object identifier (DOI) for the envelope 23773 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23774
title: Digital object identifier (DOI) for the envelope 23774 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23775
title: Digital object identifier (DOI) for the envelope 23775 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23776
title: Digital object identifier (DOI) for the envelope 23776 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23777
title: Digital object identifier (DOI) for the envelope 23777 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23778
title: Digital object identifier (DOI) for the envelope 23778 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23779
title: Digital object identifier (DOI) for the envelope 23779 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23780
title: Digital object identifier (DOI) for the envelope 23780 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23781
title: Digital object identifier (DOI) for the envelope 23781 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23782
title: Digital object identifier (DOI) for the envelope 23782 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23783
title: Digital object identifier (DOI) for the envelope 23783 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23784
title: Digital object identifier (DOI) for the envelope 23784 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23785
title: Digital object identifier (DOI) for the envelope 23785 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23786
title: Digital object identifier (DOI) for the envelope 23786 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23787
title: Digital object identifier (DOI) for the envelope 23787 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/102_23788
title: Digital object identifier (DOI) for the envelope 23788 in archive 102 from the APPLAUSE DR3