cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22779290
title: demo clinical

description: demo clinical
DOI: 10.6084/m9.figshare.22779290.v1
title: demo clinical

description: demo clinical
DOI: 10.25934/pr00005998.7
title: Available IPD datapackage for study 'A Multistage, Phase II Study Evaluating the Safety and Efficacy of Cobimetinib Plus Paclitaxel, Cobimetinib Plus Atezolizumab Plus Paclitaxel, or Cobimetinib Plus Atezolizumab Plus Nab-Paclitaxel as First-Line Treatment for Patients With Metastatic Triple-Negative Breast Cancer'

description: This three-cohort, multi-stage, randomized, Phase II, multicenter trial will evaluate the safety and tolerability and estimate the efficacy of cobimetinib plus paclitaxel versus placebo plus paclitaxel in Cohort I, of cobimetinib plus atezolizumab plus paclitaxel in Cohort II, and of cobimetinib plus atezolizumab plus nab-paclitaxel in Cohort III in participants with metastatic or locally advanced, triple-negative adenocarcinoma of the breast who have not received prior systemic therapy for metastatic breast cancer (MBC). Participants may continue on study treatment until the development of progressive disease (PD) or the loss of clinical benefit, unacceptable toxicity, and/or consent withdrawal. The Cohort I target sample size is 12 participants for the safety run-in stage and approximately 90 participants in the expansion stage. Each of Cohorts II and III will consist of a safety run-in stage of approximately 15 participants followed by an expansion stage of approximately 15 participants.
DOI: 10.48328/tudatalib-1138
title: Bow Shock Inflectionpoints

description: Points describing the shock front of a Mach 4 Bow Shock. Obtained by a reconstruction algorithm on the basis of a shock capturing simulation of the stationary Mach 4 Bow Shock. Details can be found in linked work (Section 6.3 Sharp Reconstruction of the Shock Front).
DOI: 10.5281/zenodo.7244384
title: Reducing Uncertainty in Collective Perception using Self-organized Hierarchy

description: This dataset accompanies an article submission and a code repository. <strong>Abstract:</strong><br> In collective perception, agents sample spatial data and use the samples to agree on some estimate. In this research, we identify the sources of statistical uncertainty that occur in collective perception and note that improving the accuracy of fully decentralized approaches, beyond a certain threshold, might be intractable. We propose self-organized hierarchy as an approach to improve accuracy in collective perception, by reducing or eliminating some of the sources of uncertainty. Using self-organized hierarchy, aspects of centralization and decentralization can be combined: robots can understand their relative positions system-wide and fuse their information at one point, without requiring, e.g., a fully connected or static communication network. In this way, multi-sensor fusion techniques that have been designed for fully centralized systems can be applied to a self-organized system for the first time, without losing the key practical benefits of decentralization. We implement simple proof-of-concept fusion in a self-organized hierarchy approach and test it against three fully decentralized benchmark approaches. We test the perceptual accuracy of the approaches for time-invariant and time-varying absolute conditions, and test the scalability and fault tolerance of their accuracies. We show that the self-organized hierarchy approach is substantially more accurate, more consistent, and faster than the other approaches, but also that it is comparably scalable and fault-tolerant.
description: This work was supported by the Program of Concerted Research Actions (ARC) of the Université libre de Bruxelles, the Natural Sciences and Engineering Research Council of Canada under Discovery Grants, and the Ontario Trillium Scholarship Program through the University of Ottawa and the Government of Ontario, Canada. Marco Dorigo and Mary Katherine Heinrich acknowledge support from the Belgian F.R.S.-FNRS, of which they are a Research Director and a Postdoctoral Researcher respectively.
DOI: 10.6084/m9.figshare.22765112.v1
title: DepMap 23Q2 Public

description: This DepMap release contains data from CRISPR knockout screens from project Achilles, as well as genomic characterization data from the CCLE project. <br> For more information, please see README.txt.
DOI: 10.5281/zenodo.7908113
title: Reducing Uncertainty in Collective Perception using Self-organized Hierarchy

description: This dataset accompanies an article submission and a code repository. <strong>Abstract:</strong><br> In collective perception, agents sample spatial data and use the samples to agree on some estimate. In this research, we identify the sources of statistical uncertainty that occur in collective perception and note that improving the accuracy of fully decentralized approaches, beyond a certain threshold, might be intractable. We propose self-organized hierarchy as an approach to improve accuracy in collective perception, by reducing or eliminating some of the sources of uncertainty. Using self-organized hierarchy, aspects of centralization and decentralization can be combined: robots can understand their relative positions system-wide and fuse their information at one point, without requiring, e.g., a fully connected or static communication network. In this way, multi-sensor fusion techniques that have been designed for fully centralized systems can be applied to a self-organized system for the first time, without losing the key practical benefits of decentralization. We implement simple proof-of-concept fusion in a self-organized hierarchy approach and test it against three fully decentralized benchmark approaches. We test the perceptual accuracy of the approaches for time-invariant and time-varying absolute conditions, and test the scalability and fault tolerance of their accuracies. We show that the self-organized hierarchy approach is substantially more accurate, more consistent, and faster than the other approaches, but also that it is comparably scalable and fault-tolerant.
description: This work was supported by the Program of Concerted Research Actions (ARC) of the Université libre de Bruxelles, the Natural Sciences and Engineering Research Council of Canada under Discovery Grants, and the Ontario Trillium Scholarship Program through the University of Ottawa and the Government of Ontario, Canada. Marco Dorigo and Mary Katherine Heinrich acknowledge support from the Belgian F.R.S.-FNRS, of which they are a Research Director and a Postdoctoral Researcher respectively.
DOI: 10.5281/zenodo.7244383
title: Reducing Uncertainty in Collective Perception using Self-organized Hierarchy

description: This dataset accompanies an article submission and a code repository. <strong>Abstract:</strong><br> In collective perception, agents sample spatial data and use the samples to agree on some estimate. In this research, we identify the sources of statistical uncertainty that occur in collective perception and note that improving the accuracy of fully decentralized approaches, beyond a certain threshold, might be intractable. We propose self-organized hierarchy as an approach to improve accuracy in collective perception, by reducing or eliminating some of the sources of uncertainty. Using self-organized hierarchy, aspects of centralization and decentralization can be combined: robots can understand their relative positions system-wide and fuse their information at one point, without requiring, e.g., a fully connected or static communication network. In this way, multi-sensor fusion techniques that have been designed for fully centralized systems can be applied to a self-organized system for the first time, without losing the key practical benefits of decentralization. We implement simple proof-of-concept fusion in a self-organized hierarchy approach and test it against three fully decentralized benchmark approaches. We test the perceptual accuracy of the approaches for time-invariant and time-varying absolute conditions, and test the scalability and fault tolerance of their accuracies. We show that the self-organized hierarchy approach is substantially more accurate, more consistent, and faster than the other approaches, but also that it is comparably scalable and fault-tolerant.
description: This work was supported by the Program of Concerted Research Actions (ARC) of the Université libre de Bruxelles, the Natural Sciences and Engineering Research Council of Canada under Discovery Grants, and the Ontario Trillium Scholarship Program through the University of Ottawa and the Government of Ontario, Canada. Marco Dorigo and Mary Katherine Heinrich acknowledge support from the Belgian F.R.S.-FNRS, of which they are a Research Director and a Postdoctoral Researcher respectively.
DOI: 10.6084/m9.figshare.22779317
title: geneMatrix.GSE185576

description: geneMatrix.GSE185576
DOI: 10.6084/m9.figshare.22779320
title: clinical.GSE185576

description: clinical.GSE185576.csv
DOI: 10.6084/m9.figshare.22778783
title: English version questionnaire used to assess knowledge of stroke warning signs

description: This English version questionnaire assesses knowledge of stroke warning signs among hypertensive patients. It can be used as an input for other researchers who wants to conduct similar studies.
DOI: 10.5281/zenodo.7908079
title: Open Government Data Corpus for Table Search

description: Increasing amounts of structured data can provide value for research and business if the relevant data can be located. Often the data is in a data lake without a consistent schema, making locating useful data challenging. Table search is a growing research area, but existing benchmarks have been limited to displayed tables. Tables sized and formatted for display in a Wikipedia page or ArXiv paper are considerably different from data tables in both scale and style. By using metadata associated with open data from government portals, we create the first dataset to benchmark search over data tables at scale. We demonstrate three styles of table-to-table related table search. The three notions of table relatedness are: tables produced by the same organization, tables distributed as part of the same dataset, and tables with a high degree of overlap in the annotated tags. The keyword tags provided with the metadata also permit the automatic creation of a keyword search over tables benchmark. We provide baselines on this dataset using existing methods including traditional and neural approaches.
DOI: 10.5281/zenodo.7908078
title: Open Government Data Corpus for Table Search

description: Increasing amounts of structured data can provide value for research and business if the relevant data can be located. Often the data is in a data lake without a consistent schema, making locating useful data challenging. Table search is a growing research area, but existing benchmarks have been limited to displayed tables. Tables sized and formatted for display in a Wikipedia page or ArXiv paper are considerably different from data tables in both scale and style. By using metadata associated with open data from government portals, we create the first dataset to benchmark search over data tables at scale. We demonstrate three styles of table-to-table related table search. The three notions of table relatedness are: tables produced by the same organization, tables distributed as part of the same dataset, and tables with a high degree of overlap in the annotated tags. The keyword tags provided with the metadata also permit the automatic creation of a keyword search over tables benchmark. We provide baselines on this dataset using existing methods including traditional and neural approaches.
DOI: 10.5281/zenodo.7908165
title: Breast Cancer Differential expressed genes from TCGA

description: Breast cancer gene expression data from TCGA, Differential expression analysis result from DESeq2 R package comparing normal cells with breast cancer cells.
DOI: 10.5281/zenodo.7908164
title: Breast Cancer Differential expressed genes from TCGA

description: Breast cancer gene expression data from TCGA, Differential expression analysis result from DESeq2 R package comparing normal cells with breast cancer cells.
DOI: 10.21227/jgs2-kt12
title: TKGIN_data

description: This dataset is used for TKGIN
DOI: 10.6084/m9.figshare.22779349
title: Censored Interquantile Regression Model with Time-Dependent Covariates

description: Conventionally, censored quantile regression stipulates a specific, pointwise conditional quantile of the survival time given covariates. Despite its model flexibility and straightforward interpretation, the pointwise formulation oftentimes yields rather unstable estimates across neighbouring quantile levels with large variances. In view of this phenomenon, we propose a new class of quantile-based regression models with time-dependent covariates for censored data. The models proposed aim to capture the relationship between the failure time and the covariate processes of a target population that falls within a specific quantile bracket. The pooling of information within a homogeneous neighbourhood facilitates more efficient estimates hence more consistent conclusion on statistical significances of the variables concerned. This new formulation can also be regarded as a generalization of the accelerated failure time model for survival data in the sense that it relaxes the assumption of global homogeneity for the error at all quantile levels. By introducing a class of weighted rank-based estimation procedure, our framework allows a quantile-based inference on the covariate effect with a less restrictive set of assumptions. Numerical studies demonstrate that the proposed estimator outperforms existing alternatives under various settings in terms of smaller empirical biases and standard deviations. A perturbation-based resampling method is also developed to reconcile the asymptotic distribution of the parameter estimates. Finally, consistency and weak convergence of the proposed estimator are established via empirical process theory.
DOI: 10.6084/m9.figshare.22779349.v1
title: Censored Interquantile Regression Model with Time-Dependent Covariates

description: Conventionally, censored quantile regression stipulates a specific, pointwise conditional quantile of the survival time given covariates. Despite its model flexibility and straightforward interpretation, the pointwise formulation oftentimes yields rather unstable estimates across neighbouring quantile levels with large variances. In view of this phenomenon, we propose a new class of quantile-based regression models with time-dependent covariates for censored data. The models proposed aim to capture the relationship between the failure time and the covariate processes of a target population that falls within a specific quantile bracket. The pooling of information within a homogeneous neighbourhood facilitates more efficient estimates hence more consistent conclusion on statistical significances of the variables concerned. This new formulation can also be regarded as a generalization of the accelerated failure time model for survival data in the sense that it relaxes the assumption of global homogeneity for the error at all quantile levels. By introducing a class of weighted rank-based estimation procedure, our framework allows a quantile-based inference on the covariate effect with a less restrictive set of assumptions. Numerical studies demonstrate that the proposed estimator outperforms existing alternatives under various settings in terms of smaller empirical biases and standard deviations. A perturbation-based resampling method is also developed to reconcile the asymptotic distribution of the parameter estimates. Finally, consistency and weak convergence of the proposed estimator are established via empirical process theory.
DOI: 10.6084/m9.figshare.21511677.v3
title: Characteristics of immune cell infiltration in inflamed mucosa of ulcerative colitis patients, hub gene candidates and key pathways in intestinal macrophage.

description: Tissue RNA was isolated from fresh mouse colon sample by Trizol reagent. Total RNA (1 µg) was reverse-transcribed using a reverse transcriptase kit (TakaRa, cat. RR036A-1, Tokyo, Japan). Hieff® qPCR SYBR Green Master Mix (Yeasen Biotechnolog, cat. 11201ES03, Shanghai, China) was used for Real-time qPCR. The comparative cycle threshold (Ct) method (2−ΔΔCT) was used to calculate relative expression, β-actin was used as the internal reference. We evaluated immunostaining by multiplying the intensity score and proportion score. Intensity score according to the intensity of cell staining: 0 for no positive staining (negative), 1 for light yellow (weakly positive), 2 for brown (positive) and 3 for dark brown (strongly positive). Proportion score according to the percentage of positive cells: 1 for ≤25%, 2 for 26%-50%, 3 for 51%-75% and 4 points for &gt; 75%.
DOI: 10.5066/p95tsi73
title: Slug test analysis results from unconsolidated and bedrock aquifers at Badger Army Ammunition Plant, Sauk County, Wisconsin, 2020

description: This data release contains water level data and analytical results from slug tests performed at 12 wells at Badger Army Ammunition Plant (BAAP), Sauk County, Wisconsin. Water-level data, representing the displacement and recovery of groundwater levels with time in wells during slug tests, are provided in comma delimited files. Analytical results are provided in AQUTESOLV files (*.aqt files) and *.pdf summary files. The methods used and results from this work are summarized in the USGS Scientific Investigation report by Haserodt and others, 2023: https://doi.org/10.3133/sir20235040.
DOI: 10.5281/zenodo.7904782
title: aglantha_digitale_decontaminated_gx.fasta.gz

description: .
DOI: 10.15468/dl.em3yfq
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mimosa auriculata Benth."
 ]
}

 The dataset includes 24 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041273-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-55605
title: Redemption tidings, vol. 36, nos. 1-52, 1 Jan. - 23 Dec. 1960

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.sn29jx
title: Occurrence Download

description: A dataset containing 93831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Abies alba Mill.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 93831 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001801-180925134338326/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-56282
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.w5agqn
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinalia yunnanensis (S.C.Chen & Z.H.Tsi) S.C.Chen & J.J.Wood"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080840-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-56218
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.rxps6e
title: Occurrence Download

description: A dataset containing 289821 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Betula pubescens Ehrh."
 ]
}

 The dataset includes 289821 records from 494 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001801-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-56340
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.kjb8bv
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum longiocreatum Bartlett"
 ]
}

 The dataset includes 26 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092439-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knry2u
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucadendron daphnoides (Thunb.) Meisn.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045776-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-56568
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.25549/pcra-c14-56520
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.bq8e5s
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Koenigia limosa (Kom.) T.M.Schust. & Reveal"
 ]
}

 The dataset includes 60 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092438-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-56518
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.25549/pcra-c14-56444
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.25549/pcra-c14-56732
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.25549/pcra-c14-56096
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.25549/pcra-c14-56100
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.25549/pcra-c14-56925
title: Redemption tidings, vol. 38, nos. 1-52, 5 Jan. - 28 Dec. 1962

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.25549/pcra-c14-55215
title: Redemption tidings, vol. 36, nos. 1-52, 1 Jan. - 23 Dec. 1960

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.25549/pcra-c14-55403
title: Redemption tidings, vol. 36, nos. 1-52, 1 Jan. - 23 Dec. 1960

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.