cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5929033.v1
title: Accuracy, experiment 2

description: Accuracy during experiment 2, PSI adjusted method and staircase method, slowed and non-slowed participants
DOI: 10.6084/m9.figshare.5929018
title: Accuracy, experiment 1

description: Accuracy during experiment 1, PSI marginal method and staircase method, slowed and non-slowed participants
DOI: 10.6084/m9.figshare.5929018.v1
title: Accuracy, experiment 1

description: Accuracy during experiment 1, PSI marginal method and staircase method, slowed and non-slowed participants
DOI: 10.6084/m9.figshare.5929015
title: Maximum parameter estimates of PSI adjusted method, experiment 2

description: The parameter values receiving maximum probability in the PSI adjusted method in experiment 2
DOI: 10.6084/m9.figshare.5929015.v1
title: Maximum parameter estimates of PSI adjusted method, experiment 2

description: The parameter values receiving maximum probability in the PSI adjusted method in experiment 2
DOI: 10.6084/m9.figshare.5929012
title: Maximum parameters estimates of PSI marginal method, experiment 1

description: The parameter values receiving maximum probability in the PSI marginal method in experiment 1
DOI: 10.6084/m9.figshare.5929012.v1
title: Maximum parameters estimates of PSI marginal method, experiment 1

description: The parameter values receiving maximum probability in the PSI marginal method in experiment 1
DOI: 10.6084/m9.figshare.5929009
title: Go reaction-times, subject 16, experiment 2

description: Example Go-RTs of experiment 2
DOI: 10.6084/m9.figshare.5929009.v1
title: Go reaction-times, subject 16, experiment 2

description: Example Go-RTs of experiment 2
DOI: 10.6084/m9.figshare.5929006
title: Go reaction-times, subject 3, experiment 1

description: Example Go-RTs of experiment 1
DOI: 10.6084/m9.figshare.5929006.v1
title: Go reaction-times, subject 3, experiment 1

description: Example Go-RTs of experiment 1
DOI: 10.6084/m9.figshare.5929003
title: Behavioral performance Experiment 2

description: Experiment 2
DOI: 10.6084/m9.figshare.5929003.v1
title: Behavioral performance Experiment 2

description: Experiment 2
DOI: 10.6084/m9.figshare.5928997
title: Behavioral performance Experiment 1

description: Behavioral performance in Experiment 1
DOI: 10.6084/m9.figshare.5928997.v1
title: Behavioral performance Experiment 1

description: Behavioral performance in Experiment 1
DOI: 10.6084/m9.figshare.5928925
title: Supplementary Material for: Genetic Variation in Genes Underlying Diverse Dementias May Explain a Small Proportion of Cases in the Alzheimer’s Disease Sequencing Project

description: <b><i>Background/Aims:</i></b> The Alzheimer’s Disease Sequencing Project (ADSP) aims to identify novel genes influencing Alzheimer’s disease (AD). Variants within genes known to cause dementias other than AD have previously been associated with AD risk. We describe evidence of co-segregation and associations between variants in dementia genes and clinically diagnosed AD within the ADSP. <b><i>Methods:</i></b> We summarize the properties of known pathogenic variants within dementia genes, describe the co-segregation of variants annotated as “pathogenic” in ClinVar and new candidates observed in ADSP families, and test for associations between rare variants in dementia genes in the ADSP case-control study. The participants were clinically evaluated for AD, and they represent European, Caribbean Hispanic, and isolate Dutch populations. <b><i>Results/Conclusions:</i></b> Pathogenic variants in dementia genes were predominantly rare and conserved coding changes. Pathogenic variants within <i>ARSA</i>, <i>CSF1R</i>, and <i>GRN</i> were observed, and candidate variants in <i>GRN</i> and <i>CHMP2B</i> were nominated in ADSP families. An independent case-control study provided evidence of an association between variants in <i>TREM2</i>, <i>APOE</i>, <i>ARSA</i>, <i>CSF1R</i>, <i>PSEN1</i>, and <i>MAPT</i> and risk of AD. Variants in genes which cause dementing disorders may influence the clinical diagnosis of AD in a small proportion of cases within the ADSP.
DOI: 10.6084/m9.figshare.5928925.v1
title: Supplementary Material for: Genetic Variation in Genes Underlying Diverse Dementias May Explain a Small Proportion of Cases in the Alzheimer’s Disease Sequencing Project

description: <b><i>Background/Aims:</i></b> The Alzheimer’s Disease Sequencing Project (ADSP) aims to identify novel genes influencing Alzheimer’s disease (AD). Variants within genes known to cause dementias other than AD have previously been associated with AD risk. We describe evidence of co-segregation and associations between variants in dementia genes and clinically diagnosed AD within the ADSP. <b><i>Methods:</i></b> We summarize the properties of known pathogenic variants within dementia genes, describe the co-segregation of variants annotated as “pathogenic” in ClinVar and new candidates observed in ADSP families, and test for associations between rare variants in dementia genes in the ADSP case-control study. The participants were clinically evaluated for AD, and they represent European, Caribbean Hispanic, and isolate Dutch populations. <b><i>Results/Conclusions:</i></b> Pathogenic variants in dementia genes were predominantly rare and conserved coding changes. Pathogenic variants within <i>ARSA</i>, <i>CSF1R</i>, and <i>GRN</i> were observed, and candidate variants in <i>GRN</i> and <i>CHMP2B</i> were nominated in ADSP families. An independent case-control study provided evidence of an association between variants in <i>TREM2</i>, <i>APOE</i>, <i>ARSA</i>, <i>CSF1R</i>, <i>PSEN1</i>, and <i>MAPT</i> and risk of AD. Variants in genes which cause dementing disorders may influence the clinical diagnosis of AD in a small proportion of cases within the ADSP.
DOI: 10.6084/m9.figshare.5928889
title: Three optimal cut-point selection criteria based on sensitivity and specificity with user-defined weights

description: <b>Methods</b>: Based on the index <i>S</i> (<i>S</i> = <i>SENSITIVITY (SEN)</i> × <i>SPECIFICITY (SPE)</i>), the new weighted product index <i>S<sub>w</sub></i> is defined as <i>S<sub>w</sub></i> = (<i>SEN</i>)<sup>2</sup><i><sup>w</sup></i> × (<i>SPE</i>)<sup>2(1-</sup><i><sup>w)</sup></i>, where (0≤<i>w</i>≤1). The <i>S<sub>w</sub></i> is developed to be a new tool to select the optimal cut point in ROC analysis and be compared with the other two commonly used criteria. <b>Results</b>: Comparing the optimal cut point for the three criteria, the wave range of the optimal cut point for the maximized weighted Youden index criterion is the widest, the weighted closest-to-(0,1) criterion is the narrowest and the weighted product index <i>S<sub>w</sub></i> criterion lays between the ranges of the two criteria.
DOI: 10.6084/m9.figshare.5928889.v1
title: Three optimal cut-point selection criteria based on sensitivity and specificity with user-defined weights

description: <b>Methods</b>: Based on the index <i>S</i> (<i>S</i> = <i>SENSITIVITY (SEN)</i> × <i>SPECIFICITY (SPE)</i>), the new weighted product index <i>S<sub>w</sub></i> is defined as <i>S<sub>w</sub></i> = (<i>SEN</i>)<sup>2</sup><i><sup>w</sup></i> × (<i>SPE</i>)<sup>2(1-</sup><i><sup>w)</sup></i>, where (0≤<i>w</i>≤1). The <i>S<sub>w</sub></i> is developed to be a new tool to select the optimal cut point in ROC analysis and be compared with the other two commonly used criteria. <b>Results</b>: Comparing the optimal cut point for the three criteria, the wave range of the optimal cut point for the maximized weighted Youden index criterion is the widest, the weighted closest-to-(0,1) criterion is the narrowest and the weighted product index <i>S<sub>w</sub></i> criterion lays between the ranges of the two criteria.
DOI: 10.6084/m9.figshare.5928799
title: S1a_Trinotate_Annotation_A_tonsa.xls

description: Trinotate annotation for Acartia tonsa transcriptome.RNA-Seq data available in the NCBI Sequence Read Archive with the bio-project accession number PRJNA407266.<br>
DOI: 10.6084/m9.figshare.5928799.v1
title: S1a_Trinotate_Annotation_A_tonsa.xls

description: Trinotate annotation for Acartia tonsa transcriptome.RNA-Seq data available in the NCBI Sequence Read Archive with the bio-project accession number PRJNA407266.<br>
DOI: 10.6084/m9.figshare.5928625
title: Flightless rails (Aves: Rallidae) from the early Miocene St Bathans Fauna, Otago, New Zealand

description: While known for over a decade to exist, fossil rails of the early Miocene (19–16 Ma) St Bathans Fauna, from the South Island of New Zealand, have not previously been described taxonomically or studied in detail. Here we use qualitative osteological features and analyse measurements from wing and leg bones to determine the number of taxa represented, their flight ability, and the presence and nature of sexual dimorphism within the identified taxa. We describe two new rail species in monospecific genera from the St Bathans Fauna: <i>Priscaweka parvales</i> gen. et sp. nov., which is extremely common, and <i>Litorallus livezeyi</i> gen. et sp. nov., a distinctly larger, uncommon species. <i>Priscaweka parvales</i> exhibited a significant degree of sexual dimorphism and was tiny, being the size of the extinct Chatham Island Rail <i>Cabalus modestus</i>. Both newly described species exhibit skeletal proportions and osteological features that indicate they had reduced wings and were flightless. These observations reveal that flightless rallid species have been present in New Zealand for millions of years. The distinctiveness of the St Bathans rails from their closest geographical and chronological neighbours suggests some hidden diversity of volant rails in Australia's fossil record. However, the combined data from Australasian and European records reveal no evidence for a diverse early Miocene crown rallid fauna as predicted by some molecular studies. A subsequent, middle Miocene radiation for crown rallids seems more likely, and appears to have produced the high taxonomic diversity seen in Holocene Australasian rail faunas. http://zoobank.org/urn:lsid:zoobank.org:pub:9F638A1E-C17D-4A85-9D6E-3D0F24D5AE1E
DOI: 10.6084/m9.figshare.5928610.v1
title: Disclosing respiratory coinfections: a broad-range panel assay for avian respiratory pathogens on a nanofluidic PCR platform

description: Respiratory syndromes (RS) are among the most significant pathological conditions in edible birds and are caused by complex coactions of pathogens and environmental factors. In poultry, low pathogenic avian influenza A viruses, metapneumoviruses, infectious bronchitis virus, infectious laryngotracheitis virus, <i>Mycoplasma</i> spp. <i>Escherichia coli</i> and/or <i>Ornithobacterium rhinotracheale</i> in turkeys are considered as key co-infectious agents of RS. <i>Aspergillus</i> sp., <i>Pasteurella multocida, Avibacterium paragallinarum</i> or <i>Chlamydia psittaci</i> may also be involved in respiratory outbreaks. An innovative quantitative PCR method, based on a nanofluidic technology, has the ability to screen up to 96 samples with 96 pathogen-specific PCR primers, at the same time, in one run of real-time quantitative PCR. This platform was used for the screening of avian respiratory pathogens: 15 respiratory agents, including viruses, bacteria and fungi potentially associated with respiratory infections of poultry, were targeted. Primers were designed and validated for SYBR green real-time quantitative PCR and subsequently validated on the Biomark high throughput PCR nanofluidic platform (Fluidigm©, San Francisco, CA, USA). As a clinical assessment, tracheal swabs were sampled from turkeys showing RS and submitted to this panel assay. Beside systematic detection of <i>E. coli</i>, avian metapneumovirus, <i>Mycoplasma gallisepticum</i> and <i>Mycoplasma synoviae</i> were frequently detected, with distinctive coinfection patterns between French and Moroccan flocks. This proof-of-concept study illustrates the potential of such panel assays for unveiling respiratory coinfection profiles in poultry.
DOI: 10.6084/m9.figshare.5928556
title: THE GENETIC ARCHITECTURE OF ADAPTATION: CONVERGENCE AND PLEIOTROPY IN HELICONIUS WING PATTERN EVOLUTION

description: This is genotype and phenoytype data from the QTL analyses for the paper:<br>THE GENETIC ARCHITECTURE OF ADAPTATION: CONVERGENCE AND PLEIOTROPY IN HELICONIUS WING PATTERN EVOLUTION<br><br>Each Zip archive, contains R scripts and data needed for each analysis<br>
DOI: 10.6084/m9.figshare.5928535
title: Fig. 9c.

description: Cole-Cole diagram for tissue MT3.
DOI: 10.6084/m9.figshare.5928535.v1
title: Fig. 9c.

description: Cole-Cole diagram for tissue MT3.
DOI: 10.6084/m9.figshare.5928532
title: Fig. 9b.

description: Cole-Cole diagram for tissue MT2.
DOI: 10.6084/m9.figshare.5928532.v1
title: Fig. 9b.

description: Cole-Cole diagram for tissue MT2.
DOI: 10.6084/m9.figshare.5928529
title: Fig. 9a.

description: Cole-Cole diagram for tissue MT1.
DOI: 10.6084/m9.figshare.5928529.v1
title: Fig. 9a.

description: Cole-Cole diagram for tissue MT1.
DOI: 10.6084/m9.figshare.5928523
title: Fig. 8c.

description: Dielectric loss factor for tissue MT3.
DOI: 10.6084/m9.figshare.5928523.v1
title: Fig. 8c.

description: Dielectric loss factor for tissue MT3.
DOI: 10.6084/m9.figshare.5928517
title: Fig. 8b.

description: Dielectric loss factor for tissue MT2.
DOI: 10.6084/m9.figshare.5928517.v1
title: Untitled Item

description: Dielectric loss factor for tissue MT2.
DOI: 10.6084/m9.figshare.5928514
title: Fig. 8a

description: Dielectric loss factor for tissue MT1.XDielectric loss factoXDielectric loss factorr<br>
DOI: 10.6084/m9.figshare.5928514.v1
title: Fig. 8a

description: Dielectric loss factor for tissue MT1.XDielectric loss factoXDielectric loss factorr<br>
DOI: 10.6084/m9.figshare.5928511
title: Fig. 7c

description: Relative dielectric permittivity for tissue MT3.
DOI: 10.6084/m9.figshare.5928511.v1
title: Fig. 7c

description: Relative dielectric permittivity for tissue MT3.
DOI: 10.6084/m9.figshare.5928508
title: Fig. 7b

description: Relative dielectric permittivity for tissue MT2.
DOI: 10.6084/m9.figshare.5928508.v1
title: Fig. 7b

description: Relative dielectric permittivity for tissue MT2.
DOI: 10.6084/m9.figshare.5928505
title: Fig 7a.

description: Relative dielectric permittivity for tissue MT1.
DOI: 10.6084/m9.figshare.5928505.v1
title: Fig 7a.

description: Relative dielectric permittivity for tissue MT1.
DOI: 10.6084/m9.figshare.5928493
title: Fig. 5c

description: Resistance for tissue MT3.
DOI: 10.6084/m9.figshare.5928493.v1
title: Fig. 5c

description: Resistance for tissue MT3.
DOI: 10.6084/m9.figshare.5928490
title: Fig. 5b

description: Resistance for tissue MT2.
DOI: 10.6084/m9.figshare.5928490.v1
title: Fig. 5b

description: Resistance for tissue MT2.
DOI: 10.6084/m9.figshare.5928487
title: Fig. 5a

description: Resistance for tissue MT1.
DOI: 10.6084/m9.figshare.5928487.v1
title: Fig. 5a

description: Resistance for tissue MT1.
DOI: 10.6084/m9.figshare.5928481
title: Fig. 4c

description: Capacitance for tissue MT3.
DOI: 10.6084/m9.figshare.5928481.v1
title: Fig. 4c

description: Capacitance for tissue MT3.
DOI: 10.6084/m9.figshare.5928478
title: Fig. 4b

description: Capacitance for tissue MT2.
DOI: 10.6084/m9.figshare.5928475
title: Fig. 4a

description: Capacitance for tissue MT1.
DOI: 10.6084/m9.figshare.5928478.v1
title: Fig. 4b

description: Capacitance for tissue MT2.
DOI: 10.6084/m9.figshare.5928475.v1
title: Fig. 4a

description: Capacitance for tissue MT1.
DOI: 10.6084/m9.figshare.5928445
title: Supplementary files to "Flower‑strip agri‑environment schemes provide diverse and valuable summer flower resources for pollinating insects" (Ouvrard et al. 2018)

description: Supplementary files to "Flower‑strip agri‑environment schemes provide diverse and valuable summer flower resources for pollinating insects" (Ouvrard et al. 2018)
DOI: 10.6084/m9.figshare.5928433
title: The Cardiothoracic Surgery Network uses figshare to store and share its videos

description: The Cardiothoracic Surgery Network (CTSNet), a scholarly and clinician community focused on cardiothoracic surgery, recently implemented figshare to showcase and provide a digital object identifier for all its new videos publications.<br>Read more about their implementation and how they're using figshare in the case study. <br>You can also hear from Dr. Joel Dunning, a cardiothoracic surgeon, explaining how he shares his surgeries on figshare and uses CTSNet to find videos of other surgeries.
DOI: 10.6084/m9.figshare.5928433.v1
title: The Cardiothoracic Surgery Network uses figshare to store and share its videos

description: The Cardiothoracic Surgery Network (CTSNet), a scholarly and clinician community focused on cardiothoracic surgery, recently implemented figshare to showcase and provide a digital object identifier for all its new videos publications.<br>Read more about their implementation and how they're using figshare in the case study. <br>You can also hear from Dr. Joel Dunning, a cardiothoracic surgeon, explaining how he shares his surgeries on figshare and uses CTSNet to find videos of other surgeries.
DOI: 10.6084/m9.figshare.5928433.v2
title: The Cardiothoracic Surgery Network uses figshare to store and share its videos

description: The Cardiothoracic Surgery Network (CTSNet), a scholarly and clinician community focused on cardiothoracic surgery, recently implemented figshare to showcase and provide a digital object identifier for all its new videos publications.<br>Read more about their implementation and how they're using figshare in the case study. <br>You can also hear from Dr. Joel Dunning, a cardiothoracic surgeon, explaining how he shares his surgeries on figshare and uses CTSNet to find videos of other surgeries.
DOI: 10.6084/m9.figshare.5928433.v4
title: The Cardiothoracic Surgery Network uses figshare to store and share its videos

description: The Cardiothoracic Surgery Network (CTSNet), a scholarly and clinician community focused on cardiothoracic surgery, recently implemented figshare to showcase and provide a digital object identifier for all its new videos publications.<br>Read more about their implementation and how they're using figshare in the case study. <br>You can also hear from Dr. Joel Dunning, a cardiothoracic surgeon, explaining how he shares his surgeries on figshare and uses CTSNet to find videos of other surgeries.
DOI: 10.6084/m9.figshare.5928433.v3
title: The Cardiothoracic Surgery Network uses figshare to store and share its videos

description: The Cardiothoracic Surgery Network (CTSNet), a scholarly and clinician community focused on cardiothoracic surgery, recently implemented figshare to showcase and provide a digital object identifier for all its new videos publications.<br>Read more about their implementation and how they're using figshare in the case study. <br>You can also hear from Dr. Joel Dunning, a cardiothoracic surgeon, explaining how he shares his surgeries on figshare and uses CTSNet to find videos of other surgeries.
DOI: 10.6084/m9.figshare.5928415
title: Bessere Software, Bessere Wissenschaft, Keynote zum RSE Workshop auf DHd2018

description: Meine Keynote vom RSE Workshop auf der #DHd2018.
DOI: 10.6084/m9.figshare.5928409
title: Processed tree data

description: Processed tree data
DOI: 10.6084/m9.figshare.5928409.v1
title: Processed tree data

description: Processed tree data
DOI: 10.17608/k6.auckland.5928400
title: Prelim New Zealand scampi (Metanephrops challengeri) diet

description: Prelim raw DNA metabarcoding data from NZ scampi digesta using universal COI and 18S primers.
DOI: 10.17608/k6.auckland.5928400.v1
title: Prelim New Zealand scampi (Metanephrops challengeri) diet

description: Prelim DNA metabarcoding data from NZ scampi digesta using universal COI and 18S primers.
DOI: 10.6084/m9.figshare.5928397
title: Another potential cost of tail autotomy: tail loss may result in high ectoparasite loads in Sceloporus lizards: Supplementary Material

description: Tail autotomy is a common phenomenon in lizards that increases the chances of immediate survival during a predation event or agonistic encounter. However, despite short-term benefits, tail regeneration may also impose costs. Several studies have demonstrated that tail loss compromises other vital functions such as lipid storage, reproduction, and the immune system. Several lizard species are hosts of mites and ticks. Here we evaluated in three lizard species from the genus <i>Sceloporus</i>, whether individuals that have lost their tails and invested energy in tail regeneration are more susceptible to ectoparasites. Using a multimodel inference framework, we examined if tail loss and regeneration, as well as sex, body condition, and season (dry or rainy) predict ectoparasite load. Our results indicate that investing energy and resources in tail regeneration compromises defence against ectoparasites. These costs differed between sexes and among species. Overall, ectoparasite load increases during the rainy season and is on average higher in males. In <i>S. grammicus</i>, during the rainy season, males with regenerated tails and in poor body condition had more ectoparasites than males with intact tails in good body condition. In <i>S. megalepidurus,</i> we observed the same effect during the rainy season but in females rather than males. In <i>S. torquatus,</i> we found no effect of tail loss on ectoparasite load. We discuss the possibility that differences observed among species reflect differences in both species-specific physiological trade-offs and local environmental conditions
DOI: 10.6084/m9.figshare.5928397.v1
title: Another potential cost of tail autotomy: tail loss may result in high ectoparasite loads in Sceloporus lizards: Supplementary Material

description: Tail autotomy is a common phenomenon in lizards that increases the chances of immediate survival during a predation event or agonistic encounter. However, despite short-term benefits, tail regeneration may also impose costs. Several studies have demonstrated that tail loss compromises other vital functions such as lipid storage, reproduction, and the immune system. Several lizard species are hosts of mites and ticks. Here we evaluated in three lizard species from the genus <i>Sceloporus</i>, whether individuals that have lost their tails and invested energy in tail regeneration are more susceptible to ectoparasites. Using a multimodel inference framework, we examined if tail loss and regeneration, as well as sex, body condition, and season (dry or rainy) predict ectoparasite load. Our results indicate that investing energy and resources in tail regeneration compromises defence against ectoparasites. These costs differed between sexes and among species. Overall, ectoparasite load increases during the rainy season and is on average higher in males. In <i>S. grammicus</i>, during the rainy season, males with regenerated tails and in poor body condition had more ectoparasites than males with intact tails in good body condition. In <i>S. megalepidurus,</i> we observed the same effect during the rainy season but in females rather than males. In <i>S. torquatus,</i> we found no effect of tail loss on ectoparasite load. We discuss the possibility that differences observed among species reflect differences in both species-specific physiological trade-offs and local environmental conditions
DOI: 10.6084/m9.figshare.5928394
title: Repeated measurements of the single tree

description: Repeated measurements of the single tree
DOI: 10.6084/m9.figshare.5928394.v1
title: Repeated measurements of the single tree

description: Repeated measurements of the single tree
DOI: 10.6084/m9.figshare.5928388
title: Observation date

description: Observation date
DOI: 10.6084/m9.figshare.5928388.v1
title: Observation date

description: Observation date
DOI: 10.6084/m9.figshare.5928385
title: Measured crown radii

description: Measured crown radii
DOI: 10.6084/m9.figshare.5928385.v1
title: Measured crown radii

description: Measured crown radii
DOI: 10.6084/m9.figshare.5928340
title: Data description

description: Data description
DOI: 10.6084/m9.figshare.5928340.v1
title: Data description

description: Data description
DOI: 10.6084/m9.figshare.5928262
title: Alpha lipoid

description: It made me sick