cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.n02v6wx0s
title: The role of multiple Pleistocene refugia in promoting diversification in the Pacific Northwest

description: Pleistocene glacial cycles drastically changed the distributions of taxa
 endemic to temperate rainforests in the Pacific Northwest, with many
 experiencing reduced habitat suitability during glacial periods. In this
 study, we investigate whether glacial cycles promoted intraspecific
 divergence and whether subsequent range changes led to secondary contact
 and gene flow. For seven invertebrate species endemic to the PNW, we
 estimated Species Distribution Models (SDMs) and projected them onto
 current and historical climate conditions to assess how habitat
 suitability changed during glacial cycles. Using single nucleotide
 polymorphism (SNP) data from these species, we assessed population genetic
 structure and used a machine-learning approach to compare models with and
 without gene flow between populations upon secondary contact after the
 Last Glacial Maximum (LGM). Finally, we estimated divergence times and
 rates of gene flow between populations. SDMs suggest that there was less
 suitable habitat in the North Cascades and Northern Rocky Mountains during
 glacial compared to interglacial periods, resulting in reduced habitat
 suitability and habitat fragmentation during the LGM. Our genomic data
 identify population structure in all taxa and support gene flow upon
 secondary contact in five of the seven taxa. Parameter estimates suggest
 that population divergences date to the later Pleistocene for most
 populations. Our results support the role of refugial dynamics in driving
 intraspecific divergence in the Cascades Range. In these invertebrates,
 population structure often does not correspond to current biogeographic or
 environmental barriers. Rather, population structure may reflect refugial
 lineages that have since expanded their ranges, often leading to secondary
 contact between once isolated lineages.
description: Data were collected as described in Smith et al., In Press,
 Molecular Ecology.
DOI: 10.22008/promice/data/ice_discharge/d/v02/fl89lj
title: sector_coverage.csv

description: Sector coverage. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/ccalue
title: sector_D.csv

description: Sector discharge. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/tgpf2g
title: sector_err.csv

description: Sector error. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/60byn2
title: sector.nc

description: Sector discharge, coverage, and error. Git hash: d5afa2b
DOI: 10.5061/dryad.zcrjdfng6
title: A phylogenomic backbone for gastropod molluscs

description: Gastropods have survived several mass extinctions during their
 evolutionary history resulting in extraordinary diversity in morphology,
 ecology, and developmental modes, which complicate the reconstruction of a
 robust phylogeny. Currently, gastropods are divided into six subclasses:
 Caenogastropoda, Heterobranchia, Neomphaliones, Neritimorpha,
 Patellogastropoda, and Vetigastropoda. Phylogenetic relationships among
 these taxa historically lack consensus, despite numerous efforts using
 morphological and molecular information. We generated sequence data for
 transcriptomes derived from twelve taxa belonging to clades with little or
 no prior representation in previous studies in order to infer the deeper
 cladogenetic events within Gastropoda and, for the first time, infer the
 position of the deep-sea Neomphaliones using a phylogenomic approach. We
 explored the impact of missing data, homoplasy, and compositional
 heterogeneity on the inferred phylogenetic hypotheses. We recovered a
 highly supported backbone for gastropod relationships that is congruent
 with morphological and mitogenomic evidence, in which Patellogastropoda,
 true limpets, are the sister lineage to all other gastropods
 (Orthogastropoda) which are divided into two main clades (i)
 Vetigastropoda s.l. (including Pleurotomariida + Neomphaliones) and (ii)
 Neritimorpha + (Caenogastropoda + Heterobranchia). As such, our results
 support the recognition of five subclasses (or infraclasses) in
 Gastropoda: Patellogastropoda, Vetigastropoda, Neritimorpha,
 Caenogastropoda and Heterobranchia.
DOI: 10.22008/promice/data/ice_discharge/d/v02/abgoiw
title: gate_coverage.csv

description: Gate coverage. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/kpdcne
title: gate_D.csv

description: Gate discharge. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/bgjbiy
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/wvwb64
title: gate_err.csv

description: Gate errors. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/j5qxn2
title: GIS_coverage.csv

description: Greenland coverage. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/np8hry
title: GIS_D.csv

description: Greenland discharge. Git hash: d5afa2b
DOI: 10.5061/dryad.j3tx95xhk
title: A test of Bergmann’s rule in the Early Triassic: Latitude, body size, and sampling in Lystrosaurus

description: The ecogeographical rule known as Bergmann’s rule suggests that there is a
 positive relationship between body size and latitude when comparing
 closely related taxa. The underlying mechanism, or mechanisms, to explain
 this pattern vary as widely as the taxa that seem to follow it, which has
 led to skepticism over whether Bergmann’s rule should be considered a rule
 at all. Despite this, Bergmann’s rule is widespread among modern birds,
 mammals, beetles, and some amphibians, but far fewer extinct taxa have
 been subjected to tests of Bergmann’s rule. To test whether Bergmann’s
 rule is detected in extinct taxa, we compared body size proxies in
 Lystrosaurus recovered from Early Triassic-aged strata in Antarctica,
 South Africa, India, and China. Our results reveal that average body size
 is largest at mid-northern paleolatitudes (~45°N) instead of the highest
 southern paleolatitudes (~70°S). Additionally, maximum body size is
 consistent across northern and southern hemispheres, indicating that
 Bergmann’s rule did not apply for Lystrosaurus during the Early Triassic.
 To test potential sample size biases in our results, we used rarefaction
 and subsampling to show that only the Karoo Basin is well sampled, and
 that large individuals are exceedingly rare except in the Turpan-Junggar
 Basin of Xinjiang, China. Taken together, our results suggest that
 Lystrosaurus had the potential to reach large body sizes in each of the
 latitudinally widespread tectonic basins studied here, but that local
 conditions may have allowed individuals at mid-northern paleolatitudes a
 greater chance of reaching large size compared to southern congeners that
 suffered increased mortality at young/small sizes.
description: We gathered cranial measurements from 482
 <em>Lystrosaurus</em> skulls in order to compare body size
 proxies from Early Triassic specimens. Measurements were taken using
 Mitutoyo digital calipers (±0.02mm) at the following institutions: Burke
 Museum of Natural History and Culture, Washington, USA; American Museum of
 Natural History, New York, USA; Evolutionary Studies Institute, (formerly
 Bernard Price Institute for Paleontological Research), University of the
 Witwatersrand, Johannesburg, South Africa; The Field Museum of Natural
 History, Chicago, Illinois, USA;  Institute of Vertebrate Paleontology and
 Paleoanthropology, Chinese Academy of Sciences, Beijing, China; National
 Museum, Bloemfontein, South Africa; Iziko, The South African Museum, Cape
 Town, South Africa. Measurement data were also compiled from a survey of
 the literature. 
description: This Excel spreadsheet can be opened in spreadsheet applications
 that use the OpenDocument Spreadsheet format.
DOI: 10.22008/promice/data/ice_discharge/d/v02/rnhxlc
title: GIS_err.csv

description: Greenland error. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/fs9jug
title: region_coverage.csv

description: Regional coverage. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/nqdnr8
title: GIS.nc

description: Greenland discharge, coverage, and error. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/uu7mna
title: region_D.csv

description: Regional discharge. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/dgftzb
title: region_err.csv

description: Regional error. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/w7u6sf
title: region.nc

description: Regional discharge, coverage, and error. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/1ott1r
title: sector_coverage.csv

description: Sector coverage. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/ncq9nx
title: sector_D.csv

description: Sector discharge. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/2scqwj
title: sector.nc

description: Sector discharge, coverage, and error. Git hash: d5afa2b
DOI: 10.22008/promice/data/ice_discharge/d/v02/yyxuqt
title: sector_err.csv

description: Sector error. Git hash: d5afa2b
DOI: 10.5061/dryad.gtht76hq1
title: MALDI-MS raw files of primary human lung cancer samples, lung cancer patient derived xenografts and lung cancer mouse models

description: Human primary lung cancer samples, patient derived lung cancer xenografts
 and lung tumors from the TetO-KRASG12D mouse model were analyzed using
 MALDI-MS. We determined the spatial distribution and relative abundance of
 lipids of interest. 
description: 10-µm-thick tissue sections were mounted on Superfrost Microscope Slides (Fisherbrand) and stored at -80°C. They were processed by the Chemical Imaging Research Core, UT MD Anderson Cancer Center. A HTX Sprayer M5 matrix applicator (HTX Technologies, LLC., Chapel Hill, NC, USA) was used to apply 2,5-Dihydroxybenzoic acid (DHB) for positive mode, at a flow rate of 100 μL/min with temperature set to 75/30 °C for sprayer/tray. DHB was dissolved to a concentration of 15 mg/mL in 50% acetonitrile with 0.1% TFA. Before being loaded into the mass spectrometer, the slides were placed in a MALDI plate, scanned using an EPSON scanner (Epson, Suwa, Japan), and the sections of tissue were mapped into High Definition Imaging software (HDI 1.4; Waters, Milford, MA, USA). MALDI-MS imaging was performed using a Water Synapt G2 Si (Waters Corporation, Milford, MA). Data were acquired with a spot of 60 µm with 300 laser shots at 1 kHz, using a pulse energy with an average of 25 µJ. The laser intensity was adjusted to 60%. The mass range was 50-2000 m/z and the instrument was calibrated using peak signals from red phosphorus. We converted all files into imzML using the Waters High Definition Imaging (HDI) software. We performed all data image visualization and data analysis using msIQuant. Within msIQuant, Peak option signal to noise ratio (SNR) was set at 3.0 and peak Group Detection within 0.5 Da as for marker selection, Marker Mass Range was ±0.05 Da and the Maximum Intensity in range was used as intensity method. Lipid identification was performed comparing observed peaks (experimental mass) with the theoretical values reported in the Lipid MAPS (http://www.lipidmaps.org/) and Madison Metabolomics Consortium (http:mmcd.nmrfam.wisc.edu/) databases (theoretical mass), using the mass accuracy (0.5 Da) as a tolerance window. In this way, we identified a single candidate for each peak in the spectrum. Using experimental and theoretical values, mass error (ppm) was calculated.
description: For each sample we provide two paired data files, one with .ibd
 extension and one with .imzml extension that were generated by the Water
 Synapt G2 software (Waters Corporation, Milford, MA). The files can be
 visualized using the free, publicly available software msiQuant available
 at https://ms-imaging.org/paquan/ from DOI: 10.1021/acs.analchem.5b04603 or Datacube Explorer. In both the software, the .imzml files can be uploaded, but both the ibd and imzml files must be in the same directory for the software to work.
DOI: 10.22008/promice/data/ice_discharge/d/v02/eklygg
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Git hash: c514cc4
DOI: 10.22008/promice/data/ice_discharge/d/v02/0vdyo2
title: GIS.nc

description: Greenland discharge, coverage, and error. Git hash: c514cc4
DOI: 10.22008/promice/data/ice_discharge/d/v02/tvuefu
title: gate_coverage.csv

description: Gate coverage. Git hash: 1626fab
DOI: 10.5061/dryad.z34tmpgh0
title: Phylogenomics and deep convergence in cockroach hind-wing morphology

description: Despite regular advances in Blattodea systematics, several relationships
 remain controversial or untested in formal phylogenetic reconstructions.
 This common situation for understudied metazoan groups limits our power to
 answer questions about phenotypic evolution. In this study, we infer the
 evolutionary history of Blattodea using newly sampled taxa that improve
 phylogenetic resolution while also illuminating the evolutionary history
 of an unusual phenotype—the apically folded hind-wing. Taxa newly
 sequenced include those with a hind-wing apical fold (Anaplecta pulchella,
 A. pygmaea, A. sp. cf. malaysensis, Diplopterina parva, Prosoplecta
 semperi, Anaplectoidea klossi, and Oulopteryx illuminata sp. nov. that we
 describe herein, including its male genitalia) and other rare taxa
 (Dipteretrum hamstroemi, Duchailluia togoensis, Lauraesilpha mearetoi,
 Buboblatta vlasaki). The phylogenetic design utilizes 41 genes over 91
 species in total, analyzed in a maximum likelihood and coalescent
 framework. To quantify the phylogenetic uncertainty of the analysis,
 support for various topologies is assessed. We find unambiguous support
 for the surprising position of Neotropical Oulopteryx (Oulopterygidae) as
 sister to New Caledonian/Australian Tryonicidae. This, and other
 phylogenetic findings, reveal that the apically folded hind-wing may have
 arisen nine times in Blattodea. Further investigations are needed, notably
 with an increased taxonomic sampling, to demonstrate stronger support for
 the placement of rogue taxa (e.g., Anaplecta) and to investigate the
 evolutionary correlates of wing evolution.
DOI: 10.22008/promice/data/ice_discharge/d/v02/1iv96r
title: gate_D.csv

description: Gate discharge. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/tqyen8
title: gate_err.csv

description: Gate errors. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/mouppj
title: GIS_coverage.csv

description: Greenland coverage. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/sumzye
title: GIS_D.csv

description: Greenland discharge. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/k4pr0g
title: GIS_err.csv

description: Greenland error. Git hash: 1626fab
DOI: 10.5061/dryad.2bvq83bsv
title: CardSort data for treatment features and goals for aortic stenosis

description: Background: Guidelines recommend including the patient’s values and
 preferences when choosing treatment for severe aortic stenosis (sAS).
 However, little is known about what matters most to patients as they
 develop treatment preferences. Our objective was to identify, prioritize,
 and organize patient-reported goals and features of treatment for sAS.
 Results: 51 adults with sAS and 3 caregivers with experience choosing
 treatment (age 36-92 years) were included. Participants were referred from
 multiple health centers across the U.S. and online. Eight nominal group
 meetings generated 32 unique treatment goals and 46 treatment features,
 which were grouped into 10 clusters of goals and 11 clusters of features.
 The most important clusters were: 1) trust in the healthcare team, 2)
 having good information about options, and 3) long-term outlook. Other
 clusters addressed the need for and urgency of treatment, being
 independent and active, overall health, quality of life, family and
 friends, recovery, homecare, and the process of decision-making.
 Conclusions: These patient-reported items addressed the impact of the
 treatment decision on the lives of patients and their families from the
 time of decision-making through recovery, homecare, and beyond. Many
 attributes had not been previously reported for sAS. The goals and
 features that patients’ value, and the relative importance that they
 attach to them, differ from those reported in clinical trials and vary
 substantially from one individual to another. These findings are being
 used to design a shared decision-making tool to help patients and their
 clinicians choose a treatment that aligns with the patients’ priorities.
description: This multi-center mixed-methods study conducted structured focus
 groups using the nominal group technique to identify patients’ most
 important treatment goals and features. Patients separately rated and
 grouped those items using card sorting techniques. Multidimensional
 scaling and hierarchical cluster analyses generated a cognitive map and
 clusters. Data were collected via customized Qualtrics survey.
 Participants were presented with a list of either treatment features or
 treatment goals and ask to sort them into groups.
description: The data files are CSV and can be opened as XL files.
DOI: 10.15468/dl.t3g2e6
title: Occurrence Download

description: A dataset containing 24052 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centroptilum luteolum"
 ]
}

 The dataset includes 24052 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003146-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/promice/data/ice_discharge/d/v02/mlzery
title: region_coverage.csv

description: Regional coverage. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/spowli
title: README.txt

description: README. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/dzadix
title: region_D.csv

description: Regional discharge. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/l6l1km
title: region_err.csv

description: Regional error. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/bagb6a
title: region.nc

description: Regional discharge, coverage, and error. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/92mm20
title: sector_D.csv

description: Sector discharge. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/jygzph
title: sector_coverage.csv

description: Sector coverage. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/gjn04p
title: sector_err.csv

description: Sector error. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/4wvnca
title: sector.nc

description: Sector discharge, coverage, and error. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/6vvbur
title: gate_coverage.csv

description: Gate coverage. Git hash: 1626fab
DOI: 10.5061/dryad.76hdr7t09
title: Compiled call report data for: Financial intermediation, capital accumulation and crisis recovery

description: We integrate bank and bond financing into a two-sector neoclassical growth
 model and identify an automatic stabilization effect due to endogenous
 bank leverage adjustment. We show that although bank leverage amplifies
 shocks, the increase of leverage due to a decline in bank equity partially
 offsets the post-crisis decline of bank lending and accelerates economic
 recovery by reducing the persistence of the bank lending channel. In this
 case, endogenous leverage adjustment is an automatic stabilizer.
 Regulatory state-independent capital limits and wage rigidities impair the
 re-allocation of capital between sectors and weaken this automatic
 stabilization. A quantitative analysis of the US during the Great
 Recession shows that the magnitude of automatic stabilization can be
 significant and informs about potentially high costs of strict capital
 regulation or wage rigidities during banking crises.
description: We use Call Report data from
 1984Q1 to 2017Q4. The data is derived from two different sources with
 overlap: 1. The Chicago Fed data (https://www.chicagofed.org/banking/financial-institution-reports/commercial-bank-data-complete-1976-2000, https://www.chicagofed.org/banking/financial-institution-reports/commercial-bank-data-complete-2001-2010, https://www.chicagofed.org/banking/financial-institution-reports/commercial-bank-structure-data)  from 1984Q1 to 2011Q4 are labeled "fedpanelYYYYQQ.xpt" where YYYYQQ stands for the respective year and quarter from 1984Q1 to 2011Q4. 2. The FFIEC data (https://cdr.ffiec.gov/public/PWS/DownloadBulkData.aspx, Call Reports -- Single Period) from 2001Q1 to 2017Q4 are labeled according to the taxonomy of the Call Reports by "ffiecpanelYYYYQQRC.txt", "ffiecpanelYYYYQQRCCI.txt", "ffiecpanelYYYYQQRCNI.txt", "ffiecpanelYYYYQQNII.txt", "ffiecpanelYYYYQQRI.txt", "ffiecpanelYYYYQQRIBI.txt", and "ffiecpanelYYYYQQRIBII.txt" where YYYYQQ stands for the respective year and quarter from 2001Q1 to 2017Q4. Once the dataset is downloaded (approx. 32 GB) and saved under the respective name, the provided Stata files “feddata_masterfile”, “feddata_masterfileAGG.do”, “ffiecdata_masterfile.do”, and “ffiecdata_masterfileAGG.do” compile the aggregate data set for the FED and the FFIEC data, respectively. The result of running the respective Stata files are given in "fedpanelAGG.xlsx" and "ffiecpanelAGG.xlsx". All data is seasonally adjusted using the Census X-13ARIMA plug-in tool for Matlab.
description: Stata and Excel.
DOI: 10.22008/promice/data/ice_discharge/d/v02/oljbrk
title: gate_D.csv

description: Gate discharge. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/62u9af
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/g2wr1y
title: gate_err.csv

description: Gate errors. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/afhe3u
title: GIS_coverage.csv

description: Greenland coverage. Git hash: 1626fab
DOI: 10.22008/promice/data/ice_discharge/d/v02/rko3ea
title: GIS_D.csv

description: Greenland discharge. Git hash: 1626fab