cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh3335341.08fu
title: SH3335341.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3335342.08fu
title: SH3335342.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3335343.08fu
title: SH3335343.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3335344.08fu
title: SH3335344.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.7910672
title: gVCF_HG01948

description: 1000 Genomes gVCF mapped to hs37d5 for HG01948. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910660
title: gVCF_NA19031

description: 1000 Genomes gVCF mapped to hs37d5 for NA19031. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910660.v1
title: gVCF_NA19031

description: 1000 Genomes gVCF mapped to hs37d5 for NA19031. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910672.v1
title: gVCF_HG01948

description: 1000 Genomes gVCF mapped to hs37d5 for HG01948. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910642
title: gVCF_HG01947

description: 1000 Genomes gVCF mapped to hs37d5 for HG01947. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910645
title: Greenland_sequence_table.txt

description: This sequence table was analyzed in the manuscript/paper "Bacterial community changes with cryoconite granule size and their susceptibility to exogenous nutrients on 10 glaciers in northwestern Greenland".
DOI: 10.6084/m9.figshare.7910657
title: gVCF_HG03633

description: 1000 Genomes gVCF mapped to hs37d5 for HG03633. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910657.v1
title: gVCF_HG03633

description: 1000 Genomes gVCF mapped to hs37d5 for HG03633. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910591
title: gVCF_HG01945

description: 1000 Genomes gVCF mapped to hs37d5 for HG01945. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910642.v1
title: gVCF_HG01947

description: 1000 Genomes gVCF mapped to hs37d5 for HG01947. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910564
title: gVCF_NA19028

description: 1000 Genomes gVCF mapped to hs37d5 for NA19028. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910579
title: gVCF_NA19030

description: 1000 Genomes gVCF mapped to hs37d5 for NA19030. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910585
title: gVCF_HG03631

description: 1000 Genomes gVCF mapped to hs37d5 for HG03631. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910591.v1
title: gVCF_HG01945

description: 1000 Genomes gVCF mapped to hs37d5 for HG01945. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910558
title: gVCF_HG01944

description: 1000 Genomes gVCF mapped to hs37d5 for HG01944. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910561
title: gVCF_HG03629

description: 1000 Genomes gVCF mapped to hs37d5 for HG03629. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910564.v1
title: gVCF_NA19028

description: 1000 Genomes gVCF mapped to hs37d5 for NA19028. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910585.v1
title: gVCF_HG03631

description: 1000 Genomes gVCF mapped to hs37d5 for HG03631. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910558.v1
title: gVCF_HG01944

description: 1000 Genomes gVCF mapped to hs37d5 for HG01944. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910543
title: gVCF_NA19027

description: 1000 Genomes gVCF mapped to hs37d5 for NA19027. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910546
title: gVCF_HG03625

description: 1000 Genomes gVCF mapped to hs37d5 for HG03625. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910537
title: gVCF_HG01942

description: 1000 Genomes gVCF mapped to hs37d5 for HG01942. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910543.v1
title: gVCF_NA19027

description: 1000 Genomes gVCF mapped to hs37d5 for NA19027. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910546.v1
title: gVCF_HG03625

description: 1000 Genomes gVCF mapped to hs37d5 for HG03625. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910513
title: gVCF_HG01941

description: 1000 Genomes gVCF mapped to hs37d5 for HG01941. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910537.v1
title: gVCF_HG01942

description: 1000 Genomes gVCF mapped to hs37d5 for HG01942. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910489
title: gVCF_NA19026

description: 1000 Genomes gVCF mapped to hs37d5 for NA19026. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910504
title: Intermediate data files to generate sleepwalk examples

description: Some of the 2D embeddings calculated for the Sleepwalk examples and saved to be used in multiple scripts.
DOI: 10.6084/m9.figshare.7910510
title: gVCF_HG03624

description: 1000 Genomes gVCF mapped to hs37d5 for HG03624. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910513.v1
title: gVCF_HG01941

description: 1000 Genomes gVCF mapped to hs37d5 for HG01941. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910549.v1
title: Adaptive Incremental Mixture Markov chain Monte Carlo

description: We propose Adaptive Incremental Mixture Markov chain Monte Carlo (AIMM), a novel approach to sample from challenging probability distributions defined on a general state-space. While adaptive <b>MCMC</b> methods usually update a parametric proposal kernel with a global rule, AIMM locally adapts a semiparametric kernel. AIMM is based on an independent Metropolis-Hastings proposal distribution which takes the form of a finite mixture of Gaussian distributions. Central to this approach is the idea that the proposal distribution adapts to the target by locally adding a mixture component when the discrepancy between the proposal mixture and the target is deemed to be too large. As a result, the number of components in the mixture proposal is not fixed in advance. Theoretically, we prove that there exists a stochastic process that can be made arbitrarily close to AIMM and that converges to the correct target distribution. We also illustrate that it performs well in practice in a variety of challenging situations, including high-dimensional and multimodal target distributions. Finally, the methodology is successfully applied to two real data examples, including the Bayesian inference of a semiparametric regression model for the Boston Housing dataset.
DOI: 10.6084/m9.figshare.7910483
title: Murine cerebellum single-cell samples

description: Three single-cell samples of the developing murine cerebellum at two different time points. Archives contain raw counts as Cell Ranger output files. .rds files are Seurat objects with filtered cells and genes. These data are used to generate Sleepwalk examples throughout the Sleepwalk paper.<br>(data are taken from Carter et al.<i> A Single-Cell Transcriptomal Atlas of the Developing Murine Cerebellum</i>, Current Biology, 28:18, 2018)
DOI: 10.6084/m9.figshare.7910483.v1
title: Murine cerebellum single-cell samples

description: Three single-cell samples of the developing murine cerebellum at two different time points. Archives contain raw counts as Cell Ranger output files. .rds files are Seurat objects with filtered cells and genes. These data are used to generate Sleepwalk examples throughout the Sleepwalk paper.<br>(data are taken from Carter et al.<i> A Single-Cell Transcriptomal Atlas of the Developing Murine Cerebellum</i>, Current Biology, 28:18, 2018)
DOI: 10.6084/m9.figshare.7910489.v1
title: gVCF_NA19026

description: 1000 Genomes gVCF mapped to hs37d5 for NA19026. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910504.v2
title: Intermediate data files to generate sleepwalk examples

description: Some of the 2D embeddings calculated for the Sleepwalk examples and saved to be used in multiple scripts.
DOI: 10.6084/m9.figshare.7910504.v1
title: Intermediate data files to generate sleepwalk examples

description: Some of the 2D embeddings calculated for the Sleepwalk examples and saved to be used in multiple scripts.
DOI: 10.6084/m9.figshare.7910462
title: gVCF_HG03619

description: 1000 Genomes gVCF mapped to hs37d5 for HG03619. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910462.v1
title: gVCF_HG03619

description: 1000 Genomes gVCF mapped to hs37d5 for HG03619. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910450
title: gVCF_HG01939

description: 1000 Genomes gVCF mapped to hs37d5 for HG01939. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910438
title: gVCF_NA19025

description: 1000 Genomes gVCF mapped to hs37d5 for NA19025. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910450.v1
title: gVCF_HG01939

description: 1000 Genomes gVCF mapped to hs37d5 for HG01939. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910438.v1
title: gVCF_NA19025

description: 1000 Genomes gVCF mapped to hs37d5 for NA19025. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910402
title: gVCF_HG01938

description: 1000 Genomes gVCF mapped to hs37d5 for HG01938. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910402.v1
title: gVCF_HG01938

description: 1000 Genomes gVCF mapped to hs37d5 for HG01938. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910312
title: gVCF_NA19024

description: 1000 Genomes gVCF mapped to hs37d5 for NA19024. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910357
title: gVCF_HG03616

description: 1000 Genomes gVCF mapped to hs37d5 for HG03616. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910363
title: gVCF_HG01936

description: 1000 Genomes gVCF mapped to hs37d5 for HG01936. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910312.v1
title: gVCF_NA19024

description: 1000 Genomes gVCF mapped to hs37d5 for NA19024. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910357.v1
title: gVCF_HG03616

description: 1000 Genomes gVCF mapped to hs37d5 for HG03616. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910363.v1
title: gVCF_HG01936

description: 1000 Genomes gVCF mapped to hs37d5 for HG01936. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7910294
title: gVCF_HG01935

description: 1000 Genomes gVCF mapped to hs37d5 for HG01935. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7909376
title: gVCF_HG01933

description: 1000 Genomes gVCF mapped to hs37d5 for HG01933. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7909256
title: gVCF_NA19023

description: 1000 Genomes gVCF mapped to hs37d5 for NA19023. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7909058
title: gVCF_HG03615

description: 1000 Genomes gVCF mapped to hs37d5 for HG03615. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7909058.v1
title: gVCF_HG03615

description: 1000 Genomes gVCF mapped to hs37d5 for HG03615. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7909256.v1
title: gVCF_NA19023

description: 1000 Genomes gVCF mapped to hs37d5 for NA19023. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908872
title: gVCF_HG03611

description: 1000 Genomes gVCF mapped to hs37d5 for HG03611. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908887
title: gVCF_NA19020

description: 1000 Genomes gVCF mapped to hs37d5 for NA19020. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908893
title: gVCF_HG01932

description: 1000 Genomes gVCF mapped to hs37d5 for HG01932. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908833
title: gVCF_HG01927

description: 1000 Genomes gVCF mapped to hs37d5 for HG01927. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908887.v1
title: gVCF_NA19020

description: 1000 Genomes gVCF mapped to hs37d5 for NA19020. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908833.v1
title: gVCF_HG01927

description: 1000 Genomes gVCF mapped to hs37d5 for HG01927. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908893.v1
title: gVCF_HG01932

description: 1000 Genomes gVCF mapped to hs37d5 for HG01932. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908812
title: gVCF_HG03607

description: 1000 Genomes gVCF mapped to hs37d5 for HG03607. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908821
title: gVCF_NA19019

description: 1000 Genomes gVCF mapped to hs37d5 for NA19019. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908821.v1
title: gVCF_NA19019

description: 1000 Genomes gVCF mapped to hs37d5 for NA19019. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908812.v1
title: gVCF_HG03607

description: 1000 Genomes gVCF mapped to hs37d5 for HG03607. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908794
title: gVCF_HG01926

description: 1000 Genomes gVCF mapped to hs37d5 for HG01926. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908794.v1
title: gVCF_HG01926

description: 1000 Genomes gVCF mapped to hs37d5 for HG01926. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908758
title: gVCF_NA19017

description: 1000 Genomes gVCF mapped to hs37d5 for NA19017. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908758.v1
title: gVCF_NA19017

description: 1000 Genomes gVCF mapped to hs37d5 for NA19017. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908734
title: gVCF_HG03606

description: 1000 Genomes gVCF mapped to hs37d5 for HG03606. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908692
title: gVCF_HG01924

description: 1000 Genomes gVCF mapped to hs37d5 for HG01924. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908659
title: gVCF_HG03604

description: 1000 Genomes gVCF mapped to hs37d5 for HG03604. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908659.v1
title: gVCF_HG03604

description: 1000 Genomes gVCF mapped to hs37d5 for HG03604. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908638
title: gVCF_HG01923

description: 1000 Genomes gVCF mapped to hs37d5 for HG01923. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908638.v1
title: gVCF_HG01923

description: 1000 Genomes gVCF mapped to hs37d5 for HG01923. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908614
title: gVCF_HG03603

description: 1000 Genomes gVCF mapped to hs37d5 for HG03603. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908617
title: Energetic constraints on mammalian home range size

description: Data sources, its description, phylogenetic tree and R codes associated with publication.<br>
DOI: 10.6084/m9.figshare.7908614.v1
title: gVCF_HG03603

description: 1000 Genomes gVCF mapped to hs37d5 for HG03603. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908605
title: gVCF_NA19012

description: 1000 Genomes gVCF mapped to hs37d5 for NA19012. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908605.v1
title: gVCF_NA19012

description: 1000 Genomes gVCF mapped to hs37d5 for NA19012. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908578
title: gVCF_NA19011

description: 1000 Genomes gVCF mapped to hs37d5 for NA19011. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908584
title: gVCF_HG03600

description: 1000 Genomes gVCF mapped to hs37d5 for HG03600. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7908599
title: gVCF_HG01921

description: 1000 Genomes gVCF mapped to hs37d5 for HG01921. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307