cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23982984.v1
title: Fig.3 Mixing Model_RPM

description: <br><b>• Background and Aims </b>Freshwater nitrogen inputs are increasing globally, altering the structure and function of wetland ecosystems adapted to low nutrient conditions. Carnivorous wetland plants of the genus <i>Utricularia </i>are hypothesized to reduce their reliance on carnivory and increase their assimilation of environmental nutrients when the supply of ambient nutrients increases. Despite success in using stable isotope approaches to quantify carnivory of terrestrial carnivorous plants, quantifying carnivory of aquatic <i>Utricularia </i>requires improvement.<b>• Methods </b>We developed stable isotope mixing models to quantify aquatic plant carnivory and used these models to measure dietary changes of three <i>Utricularia </i>species, <i>Utricularia australis</i>, <i>U. gibba </i>and <i>U. uliginosa</i>, in 11 wetlands across a 794-km gradient in eastern Australia. Diet was assessed using multiple models that compared variations in the natural-abundance nitrogen isotope composition (δ15N) of <i>Utricularia </i>spp. with that of non-carnivorous plants, and environmental and carnivorous nitrogen sources.<b>• Key Results </b>Carnivory supplied 40–100 % of plant nitrogen. The lowest carnivory rates coincided with the highest availability of ammonium and dissolved organic carbon.<b>• Conclusions </b>Our findings suggest that <i>Utricularia </i>populations may adapt to high nutrient environments by shifting away from energetically costly carnivory. This has implications for species conservation as anthropogenic impacts continue to affect global wetland ecosystems.
DOI: 10.6084/m9.figshare.24145278.v1
title: The effect of curcumin on exercise-induced muscle damage

description: This study aimed to investigate the effect of a multi-ingredient supplement (MIS), containing turmeric and apple extracts, imidazole-containing dipeptides, and multimineral powder, on markers of muscle damage in collegiate male players following a rugby match.
DOI: 10.6084/m9.figshare.28826357.v1
title: pdxe_mouse_and_human_isoform_counts.txt.gz

description: Updated annotations and expression count matrices for the 2015 Novartis PDXE manuscript. Expression counts are calculated using PISCES (which in turn uses Salmon), against the Ensembl reference transcriptome.PDXE manuscript: Gao, H., Korn, J., Ferretti, S. et al. High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response. Nat Med 21, 1318–1325 (2015). https://doi.org/10.1038/nm.3954PISCES manuscript: https://www.biorxiv.org/content/10.1101/2020.12.01.390575v1Salmon: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600148/
DOI: 10.6084/m9.figshare.9816704.v1
title: Cars_LiteRate

description: Data set formatted for analysis in LiteRate as outlined in the supplemental information.
DOI: 10.17632/mww9v4xg9x
title: Exit Gradient Generation using Modflow and implementation in XGBoost

description: This repository consists of the scripts,codes and data (generated) to (1) estimate the effect of various hydrogeologic and barrage 
parameters on the exit gradient using physics based model (MODFLOW) and (2) create a ML framework to perform data analysis and estimate the dominant factors affecting exit gradient and estimate it using 
extreme gradient boosting.
DOI: 10.6084/m9.figshare.22548547.v1
title: Luecken multiome human bone marrow 2021 s4d8 preprocessing

description: Dataset published by Luecken et al. 2021 which contains data from human bone marrow measured through joint profiling of single-nucleus RNA and chromatin accessibility using the 10X Genomics Single Cell Multiome ATAC + Gene Expression Kit. All files stored in this entry are from sample 4 donor 8 and contain updated/additional objects depending on the preprocessing step applied. <br> The respective raw files can be downloaded here:<br> File description <em>s4d8_quality_control.h5ad</em>: Quality controlled cells by features matrix (filtering low-quality cells, ambient RNA correction, doublet detection). <em>s4d8_normalization.h5ad</em>: Normalized cells by features matrix (shifted logarithm, scran and pearson residuals normalization). <em>s4d8_feature_selection.h5ad</em>: Normalized cells by features matrix with additional entries for highly deviant and highly variable features. <em>s4d8_dim_red.h5ad</em>: Normalized cells by features matrix with lower dimensional PCA embedding, UMAP embedding and t-SNE embedding. <strong>Citation</strong> Luecken, M. D. <em>et al.</em> A sandbox for prediction and integration of DNA, RNA, and proteins in single cells. Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2021). <strong>Original data link</strong> https://openproblems.bio/neurips_docs/data/dataset/
DOI: 10.6084/m9.figshare.25512361.v1
title: pytorch_model.bin

description: 上传需要注意的小细节。如果你上传的数据只是为了自我实验管理，就不必在乎其中需要填的部分。如果你需要公开数据，比如文章投稿要求上传的Original data，就需要点击下图最下方的Publish，在这个模式下，所有对话框后面带有绿点的部分都要填写。填写完全之后，勾选Publish，保存后就会有链接和DOI号了。之后还可以继续上传，建议投稿的原始数据生成一个链接，方便编辑查看。
DOI: 10.6084/m9.figshare.13344803.v1
title: Dong et al, 2021: Supplemental Tables S1-S16

description: Supplemental Tables S1-S16
DOI: 10.6084/m9.figshare.13664570.v1
title: 1kg

description: 1kg phase 3 formatted for use with evolutionary pipeline.
DOI: 10.6084/m9.figshare.15041322.v2
title: Centre of Mass position for participants on a treadmill

description: We have collected data for six participants aged from 18 to 55 years, three males and three females. The study followed ethical protocols as per ethics requirements (UNE HE19-239). We have measured the Centre of Mass (COM) for each participant walking and running on the treadmill as follows:<br>* X-axis in the direction of gait progression with positive pointing forward.<br>* Y-axis in the medial-lateral direction with positive pointing to the right.<br>* Z-axis in the vertical direction with positive pointing upward.<br><br>The markers we used were the Left and Right PSIS and ASIS, then we computed the average of all four. The data were collected for different velocities, at 100 frames per second, over 10 seconds, for each velocity, using an 8 camera, Qualisys Motion capture system with the COM reconstructed using a pelvic marker set within Visual3D.<br>une_gait_participant_info.csv provides metadata about each of the anonymised participants.une_gait.csv provides the participants' time and position information for each of the measured speeds.
DOI: 10.15468/dl.9gp3gx
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arrhenia discorosea (Pilát) Zvyagina, A.V.Alexandrova & Bulyonk."
 ]
}

 The dataset includes 240 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010077-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18310540
title: Data and Scripts for: Near-resonant trans-Pacific tsunami generated by a fast-moving deep-sea landslide

description: # Data and Scripts for: Near-resonant trans-Pacific tsunami generated by a fast-moving deep-sea landslide


## General Information

- Title: Near-resonant trans-Pacific tsunami generated by a fast-moving deep-sea landslide

- Authors: Tomohiro Takagawa

- Affiliations: Port and Airport Research Institute, Yokosuka, 239-0826, Japan.

- Corresponding Author: Tomohiro Takagawa (takagawa-t@p.mpat.go.jp)

- Publication Date: 2026


## Description


- This repository contains the observational data, inversion results, and ploting scripts required to reproduce the findings of the study.

- The tsunami adjoint code used in this study is open-source and available at the following GitHub repository: <https://github.com/tomographyyy/tandem>
DOI: 10.5281/zenodo.18310539
title: Data and Scripts for: Near-resonant trans-Pacific tsunami generated by a fast-moving deep-sea landslide

description: # Data and Scripts for: Near-resonant trans-Pacific tsunami generated by a fast-moving deep-sea landslide


## General Information

- Title: Near-resonant trans-Pacific tsunami generated by a fast-moving deep-sea landslide

- Authors: Tomohiro Takagawa

- Affiliations: Port and Airport Research Institute, Yokosuka, 239-0826, Japan.

- Corresponding Author: Tomohiro Takagawa (takagawa-t@p.mpat.go.jp)

- Publication Date: 2026


## Description


- This repository contains the observational data, inversion results, and ploting scripts required to reproduce the findings of the study.

- The tsunami adjoint code used in this study is open-source and available at the following GitHub repository: <https://github.com/tomographyyy/tandem>
DOI: 10.15468/dl.sf53cb
title: Occurrence Download

description: A dataset containing 213574 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fusarium"
 ]
}

 The dataset includes 213574 records from 408 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011893-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwjrgh
title: Occurrence Download

description: A dataset containing 31835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Sweden",
 "GadmGid is SWE",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Actaea spicata"
 ]
}

 The dataset includes 31835 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011902-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-xs6-dgr2
title: Plangebieden Olland, Hondelinkweg, Vonderman, Kronenkamp te Neede, gemeente Berkelland

description: &lt;p&gt;onderzoeksrapport&lt;/p&gt;
description: Date: 30-06-2006 (aanvang onderzoek)
DOI: 10.6084/m9.figshare.14055800
title: First-Order Newton-Type Estimator for Distributed Estimation and Inference

description: This article studies distributed estimation and inference for a general statistical problem with a convex loss that could be nondifferentiable. For the purpose of efficient computation, we restrict ourselves to stochastic first-order optimization, which enjoys low per-iteration complexity. To motivate the proposed method, we first investigate the theoretical properties of a straightforward divide-and-conquer stochastic gradient descent approach. Our theory shows that there is a restriction on the number of machines and this restriction becomes more stringent when the dimension <i>p</i> is large. To overcome this limitation, this article proposes a new multi-round distributed estimation procedure that approximates the Newton step only using stochastic subgradient. The key component in our method is the proposal of a computationally efficient estimator of Σ−1w, where Σ is the population Hessian matrix and <i>w</i> is any given vector. Instead of estimating Σ (or Σ−1) that usually requires the second-order differentiability of the loss, the proposed first-order Newton-type estimator (FONE) directly estimates the vector of interest Σ−1w as a whole and is applicable to nondifferentiable losses. Our estimator also facilitates the inference for the empirical risk minimizer. It turns out that the key term in the limiting covariance has the form of Σ−1w, which can be estimated by FONE.
DOI: 10.6084/m9.figshare.14055800.v2
title: First-Order Newton-Type Estimator for Distributed Estimation and Inference

description: This article studies distributed estimation and inference for a general statistical problem with a convex loss that could be nondifferentiable. For the purpose of efficient computation, we restrict ourselves to stochastic first-order optimization, which enjoys low per-iteration complexity. To motivate the proposed method, we first investigate the theoretical properties of a straightforward divide-and-conquer stochastic gradient descent approach. Our theory shows that there is a restriction on the number of machines and this restriction becomes more stringent when the dimension <i>p</i> is large. To overcome this limitation, this article proposes a new multi-round distributed estimation procedure that approximates the Newton step only using stochastic subgradient. The key component in our method is the proposal of a computationally efficient estimator of Σ−1w, where Σ is the population Hessian matrix and <i>w</i> is any given vector. Instead of estimating Σ (or Σ−1) that usually requires the second-order differentiability of the loss, the proposed first-order Newton-type estimator (FONE) directly estimates the vector of interest Σ−1w as a whole and is applicable to nondifferentiable losses. Our estimator also facilitates the inference for the empirical risk minimizer. It turns out that the key term in the limiting covariance has the form of Σ−1w, which can be estimated by FONE.
DOI: 10.6084/m9.figshare.14055800.v1
title: First-order Newton-type Estimator for Distributed Estimation and Inference

description: This paper studies distributed estimation and inference for a general statistical problem with a convex loss that could be non-differentiable. For the purpose of efficient computation, we restrict ourselves to stochastic first-order optimization, which enjoys low per-iteration complexity. To motivate the proposed method, we first investigate the theoretical properties of a straightforward Divide-and-Conquer Stochastic Gradient Descent (DC-SGD) approach. Our theory shows that there is a restriction on the number of machines and this restriction becomes more stringent when the dimension <i>p</i> is large. To overcome this limitation, this paper proposes a new multi-round distributed estimation procedure that approximates the Newton step only using stochastic subgradient. The key component in our method is the proposal of a computationally efficient estimator of Σ−1w, where Σ is the population Hessian matrix and <i>w</i> is any given vector. Instead of estimating Σ (or Σ−1) that usually requires the second-order differentiability of the loss, the proposed First-Order Newton-type Estimator (FONE) directly estimates the vector of interest Σ−1w as a whole and is applicable to non-differentiable losses. Our estimator also facilitates the inference for the empirical risk minimizer. It turns out that the key term in the limiting covariance has the form of Σ−1w, which can be estimated by FONE.
DOI: 10.6084/m9.figshare.19384031
title: Variation and Covariation in Large-Scale Replication Projects: An Evaluation of Replicability

description: Over the last decade, large-scale replication projects across the biomedical and social sciences have reported relatively low replication rates. In these large-scale replication projects, replication has typically been evaluated based on a single replication study of some original study and dichotomously as successful or failed. However, evaluations of replicability that are based on a single study and are dichotomous are inadequate, and evaluations of replicability should instead be based on multiple studies, be continuous, and be multi-faceted. Further, such evaluations are in fact possible due to two characteristics shared by many large-scale replication projects. In this article, we provide such an evaluation for two prominent large-scale replication projects, one which replicated a phenomenon from cognitive psychology and another which replicated 13 phenomena from social psychology and behavioral economics. Our results indicate a very high degree of replicability in the former and a medium to low degree of replicability in the latter. They also suggest an unidentified covariate in each, namely ocular dominance in the former and political ideology in the latter, that is theoretically pertinent. We conclude by discussing evaluations of replicability at large, recommendations for future large-scale replication projects, and design-based model generalization. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.19384031.v3
title: Variation and Covariation in Large-Scale Replication Projects: An Evaluation of Replicability

description: Over the last decade, large-scale replication projects across the biomedical and social sciences have reported relatively low replication rates. In these large-scale replication projects, replication has typically been evaluated based on a single replication study of some original study and dichotomously as successful or failed. However, evaluations of replicability that are based on a single study and are dichotomous are inadequate, and evaluations of replicability should instead be based on multiple studies, be continuous, and be multi-faceted. Further, such evaluations are in fact possible due to two characteristics shared by many large-scale replication projects. In this article, we provide such an evaluation for two prominent large-scale replication projects, one which replicated a phenomenon from cognitive psychology and another which replicated 13 phenomena from social psychology and behavioral economics. Our results indicate a very high degree of replicability in the former and a medium to low degree of replicability in the latter. They also suggest an unidentified covariate in each, namely ocular dominance in the former and political ideology in the latter, that is theoretically pertinent. We conclude by discussing evaluations of replicability at large, recommendations for future large-scale replication projects, and design-based model generalization. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.19384031.v2
title: Variation and Covariation in Large-scale Replication Projects: An Evaluation of Replicability

description: Over the last decade, large-scale replication projects across the biomedical and social sciences have reported relatively low replication rates. In these large-scale replication projects, replication has typically been evaluated based on a single replication study of some original study and dichotomously as successful or failed. However, evaluations of replicability that are based on a single study and are dichotomous are inadequate, and evaluations of replicability should instead be based on multiple studies, be continuous, and be multi-faceted. Further, such evaluations are in fact possible due to two characteristics shared by many large-scale replication projects. In this article, we provide such an evaluation for two prominent large-scale replication projects, one which replicated a phenomenon from cognitive psychology and another which replicated 13 phenomena from social psychology and behavioral economics. Our results indicate a very high degree of replicability in the former and a medium to low degree of replicability in the latter. They also suggest an unidentified covariate in each, namely ocular dominance in the former and political ideology in the latter, that is theoretically pertinent. We conclude by discussing evaluations of replicability at large, recommendations for future large-scale replication projects, and design-based model generalization. Supplementary materials for this article are available online.
DOI: 10.57680/asep.0645068
title: Tripartite quantum correlations obtained by post-selection from twin beams

description: The files contain the data appropriate for the article 'Tripartite quantum correlations obtained by post-selection from twin beams' written by  Pavel Pavlíček, Jan Peřina Jr., Václav Michálek, Radek Machulka, and Ondřej Haderka.   The data are related to Figs. 3-8 and are provided in the files whose names indicate figure numbers. Details are given inside the corresponding .txt files.
DOI: 10.15468/dl.f3gr6n
title: Occurrence Download

description: A dataset containing 401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((105 20,170 20,170 70,105 70,105 20))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Selliguea veitchii"
 ]
}

 The dataset includes 401 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011903-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8pn7h
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alluroteuthis antarcticus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 172 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011904-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17668310
title: Data for The Milky Way stellar halo is twisted and doubly broken: insights from DESI DR2 Milky Way Survey observation

description: Supplementary material to DESI's publication "The Milky Way stellar halo is twisted and doubly broken: insights from DESI DR2 Milky Way Survey observation" to comply with the data management plan.

Data points corresponding to each figure are provided in a machine-readable format (Python NumPy array). These data points can be loaded using the numpy.load() function in Python.
DOI: 10.15468/878zyp
title: Two new species of Tomocerus (Ocreatomurus) Yu from Xizang, China (Collembola, Tomoceridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yu, Daoyuan, Xue, Huiying, Zhang, Feng (2025): Two new species of Tomocerus (Ocreatomurus) Yu from Xizang, China (Collembola, Tomoceridae). Zootaxa 5570 (2): 371-379, DOI: 10.11646/zootaxa.5570.2.8, URL: https://doi.org/10.11646/zootaxa.5570.2.8AbstractTwo new species of Tomocerus (Ocreatomurus) are described from Gyirong Valley, Xizang Autonomous Region, China. Tomocerus (Ocreatomurus) gyirongensis sp. nov. and Tomocerus (Ocreatomurus) oppositus sp. nov. are both similar to Tomocerus (Ocreatomurus) spinulus Chen & Christiansen, 1998 in the absence of blunt dorsal chaetae on manubrium and presence of single large distal dental spines, but these three species can be distinguished mainly by body color, number of tibiotarsal strong inner chaetae, number and position of manubrial prominent chaetae, and arrangement of basal dental spines.
DOI: 10.15468/dl.ytgpfg
title: Occurrence Download

description: A dataset containing 304398 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Penicillium"
 ]
}

 The dataset includes 304398 records from 397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011895-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jdqb3
title: Occurrence Download

description: A dataset containing 5599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.06394 38.1423,-3.17285 38.13688,-3.1825 38.07071,-3.11357 38.04683,-2.97571 38.05443,-2.93987 38.14013,-3.06394 38.1629,-3.07635 38.15097,-3.06394 38.1423))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5599 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011905-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.