cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22658875.v1
title: Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments

description: This article proposes a new approach to obtain uniformly valid inference for linear functionals or scalar subvectors of a partially identified parameter defined by linear moment inequalities. The procedure amounts to bootstrapping the value functions of randomly perturbed linear programming problems, and does not require the researcher to grid over the parameter space. The low-level conditions for uniform validity rely on genericity results for linear programs. The unconventional perturbation approach produces a confidence set with a coverage probability of 1 over the identified set, but obtains exact coverage on an outer set, is valid under weak assumptions, and is computationally simple to implement.
DOI: 10.6084/m9.figshare.23260667
title: Data

description: Flow cytometry data
DOI: 10.6084/m9.figshare.23260667.v1
title: Data

description: Flow cytometry data
DOI: 10.25934/pr00007623.1
title: Available IPD datapackage for study 'A 13-week Multinational, Randomized, Double-Blind, Placebo-Controlled, Dose-Response Trial Assessing the Safety, Tolerability and Efficacy of AVE0010 in Metformin-Treated Subjects With Type 2 Diabetes Mellitus'

description: To evaluate the dose-response relationship of AVE0010 administered once daily and twice daily with chronic dosing in metformin-treated subjects with type 2 diabetes
DOI: 10.25835/psv2gfsu
title: Data Freyschmidt and Beier 2023

description: This file includes the data used in the publication "AOB Activity – an Essential Parameter for Model-Based N2O Mitigation Strategies for Biofilms" by A. Freyschmidt and M. Beier, 2023
DOI: 10.14278/rodare.558
title: Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D.

description: The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. <br> In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). <br> The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations.
description: {"references": ["Suckert, Theresa et al. (2019): High-precision image-guided proton irradiation of mouse brain sub-volumes", "Bogovic, J. A. et al. (2016): Robust registration of calcium images by learned contrast synthesis", "S. Klein et al. (2010), elastix: a toolbox for intensity based medical image registration"]}
DOI: 10.14278/rodare.791
title: Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D.

description: The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. <br> In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). <br> The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations.
description: {"references": ["Suckert, Theresa et al. (2019): High-precision image-guided proton irradiation of mouse brain sub-volumes", "Bogovic, J. A. et al. (2016): Robust registration of calcium images by learned contrast synthesis", "S. Klein et al. (2010), elastix: a toolbox for intensity based medical image registration"]}
DOI: 10.14278/rodare.801
title: Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D.

description: The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. <br> In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). <br> The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations.
description: {"references": ["Suckert, Theresa et al. (2019): High-precision image-guided proton irradiation of mouse brain sub-volumes", "Bogovic, J. A. et al. (2016): Robust registration of calcium images by learned contrast synthesis", "S. Klein et al. (2010), elastix: a toolbox for intensity based medical image registration"]}
DOI: 10.14278/rodare.810
title: Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D.

description: The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. <br> In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). <br> The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations.
description: {"references": ["Suckert, T. et al. (2019): High-precision image-guided proton irradiation of mouse brain sub-volumes", "Bogovic, J. A. et al. (2016): Robust registration of calcium images by learned contrast synthesis", "Klein, S. et al. (2010), elastix: a toolbox for intensity based medical image registration", "Dorr, A. E. et al. (2008). High resolution three-dimensional brain atlas using an average magnetic resonance image of 40 adult C57Bl/6J mice", "Steadman, P. E. et al. (2014). Genetic effects on cerebellar structure across mouse models of autism using a magnetic resonance imaging atlas", "Ullmann, J. F. P. et al. (2013). A segmentation protocol and MRI atlas of the C57BL/6J mouse neocortex", "Richards, K. et al. (2011). Segmentation of the mouse hippocampal formation in magnetic resonance images", "Qiu, L. R. et al. (2018). Mouse MRI shows brain areas relatively larger in males emerge before those larger in females"]}
DOI: 10.14278/rodare.1849
title: Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D.

description: The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. <br> In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). <br> The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations.
description: Note: There are ongoing corrections taking place with the B6 mouse strain data (P2A_B6_M1, P2A_B6_M2, P2A_B6_M6, P2A_B6_M10). If you are interested in working with these data, please wait for the new version to be uploaded or contact the authors of https://doi.org/10.1016/j.radonc.2023.109591 Chunked zip: The histological data are stored as chunked .zip files (*.zip.001 - *.zip.0XX). In order to unpack the data, download all chunks into the same directory, then unpack.
description: {"references": ["Suckert, T. et al. (2019): High-precision image-guided proton irradiation of mouse brain sub-volumes", "Bogovic, J. A. et al. (2016): Robust registration of calcium images by learned contrast synthesis", "Klein, S. et al. (2010), elastix: a toolbox for intensity based medical image registration", "Dorr, A. E. et al. (2008). High resolution three-dimensional brain atlas using an average magnetic resonance image of 40 adult C57Bl/6J mice", "Steadman, P. E. et al. (2014). Genetic effects on cerebellar structure across mouse models of autism using a magnetic resonance imaging atlas", "Ullmann, J. F. P. et al. (2013). A segmentation protocol and MRI atlas of the C57BL/6J mouse neocortex", "Richards, K. et al. (2011). Segmentation of the mouse hippocampal formation in magnetic resonance images", "Qiu, L. R. et al. (2018). Mouse MRI shows brain areas relatively larger in males emerge before those larger in females"]}
DOI: 10.14278/rodare.915
title: Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D.

description: The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. <br> In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). <br> The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations.
description: Chunked zip: The histological data are stored as chunked .zip files (*.zip.001 - *.zip.0XX). In order to unpack the data, download all chunks into the same directory, then unpack.
description: {"references": ["Suckert, T. et al. (2019): High-precision image-guided proton irradiation of mouse brain sub-volumes", "Bogovic, J. A. et al. (2016): Robust registration of calcium images by learned contrast synthesis", "Klein, S. et al. (2010), elastix: a toolbox for intensity based medical image registration", "Dorr, A. E. et al. (2008). High resolution three-dimensional brain atlas using an average magnetic resonance image of 40 adult C57Bl/6J mice", "Steadman, P. E. et al. (2014). Genetic effects on cerebellar structure across mouse models of autism using a magnetic resonance imaging atlas", "Ullmann, J. F. P. et al. (2013). A segmentation protocol and MRI atlas of the C57BL/6J mouse neocortex", "Richards, K. et al. (2011). Segmentation of the mouse hippocampal formation in magnetic resonance images", "Qiu, L. R. et al. (2018). Mouse MRI shows brain areas relatively larger in males emerge before those larger in females"]}
DOI: 10.5281/zenodo.7985964
title: Conflux

description: Artefacts for the paper at ISSRE 2023
DOI: 10.5281/zenodo.7985965
title: Artifacts for the paper ISSRE 2023

description: Artefacts for the paper at ISSRE 2023
DOI: 10.5281/zenodo.7986060
title: Conflux

description: Artefacts for the paper at ISSRE 2023
DOI: 10.5517/ccdc.csd.cc29h1kf
title: CCDC 2129624: Experimental Crystal Structure Determination

description: Related Article: Jing Ru, Ru-Fen Zhang, Ying-Xue Wang, Xin-Xin Ma, Qiang Guo, Xiu-Mei Du, Lei-Lei Li, Yan-Lan Wang|2022|J.Solid State Chem.|311|123119|doi:10.1016/j.jssc.2022.123119
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21511677.v4
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: 10.6084/m9.figshare.23260775
title: Data Pasien LMP dr Muhtarum THT.pdf

description: To show the correlation between LMP 1 and VEGF towards NPC proggression.
DOI: 10.6084/m9.figshare.23260775.v1
title: Data Pasien LMP dr Muhtarum THT.pdf

description: To show the correlation between LMP 1 and VEGF towards NPC proggression.
DOI: 10.6084/m9.figshare.23260868
title: Supplementary Table S1.pdf

description: Supplementary Table S1: The pool of BCa urine biomarker genes (BUBGs)
DOI: 10.6084/m9.figshare.23260868.v1
title: Supplementary Table S1.pdf

description: Supplementary Table S1: The pool of BCa urine biomarker genes (BUBGs)
DOI: 10.6084/m9.figshare.23260957
title: Stochastic coordinate-exchange optimal designs with complex constraints

description: The paper provides a method to construct the exact optimal experimental designs for both physical and computer experiments with any regular or irregularly constrained design space. We modify the original greedy coordinate-exchange algorithm into the stochastic version by adding the random selection of the “bad” coordinates that can be exchanged for “better” values to improve the optimal design criterion. More importantly, we adapt it to accommodate the non-convex or disconnected constrained design space. We implement the stochastic coordinate-exchange (SCE) algorithm for <i>D</i>- and linear- (<i>A</i>- and <i>I</i>-) optimal designs for physical experiments, and ϕp-optimal space-filling designs for computer experiments.
DOI: 10.6084/m9.figshare.23260957.v1
title: Stochastic coordinate-exchange optimal designs with complex constraints

description: The paper provides a method to construct the exact optimal experimental designs for both physical and computer experiments with any regular or irregularly constrained design space. We modify the original greedy coordinate-exchange algorithm into the stochastic version by adding the random selection of the “bad” coordinates that can be exchanged for “better” values to improve the optimal design criterion. More importantly, we adapt it to accommodate the non-convex or disconnected constrained design space. We implement the stochastic coordinate-exchange (SCE) algorithm for <i>D</i>- and linear- (<i>A</i>- and <i>I</i>-) optimal designs for physical experiments, and ϕp-optimal space-filling designs for computer experiments.
DOI: 10.6084/m9.figshare.7537922
title: Developing a space-filling mixture experiment design when the components are subject to linear and nonlinear constraints

description: This article presents a case study of developing a space-filling design (SFD) for a constrained mixture experiment when the experimental region is specified by single-component constraints (SCCs), linear multiple-component constraints (LMCCs), and nonlinear multiple-component constraints (NMCCs). Traditional methods and software for designing constrained mixture experiments with SCCs and LMCCs (using either optimal design or SFD approaches) are not directly applicable because of the NMCCs. A SFD algorithm in the JMP<sup>®</sup> software was modified to accommodate the NMCCs; the modification is described in this article. The case study involves high-level waste (HLW) glass that is subject to the formation of nepheline crystals as the glass cools. This can significantly reduce the durability of HLW glass (which is undesirable). The goal of the study was to develop a SFD for the HLW glass compositional region where nepheline may form, and generate data for modeling nepheline formation as a function of HLW glass composition. The HLW glass composition region was specified in terms of eight components with SCCs, two LMCCs, and two NMCCs. The NMCCs were based on a nonlinear logistic regression model for a binary nepheline response that was developed from previous data. This article discusses the HLW glass example, the constraints specifying the experimental composition region, and how an existing algorithm for generating SFDs was modified to accommodate the NMCCs. The methodology discussed in this article can be applied to any example in which the experimental region is specified by one or more nonlinear constraints in addition to linear constraints on mixture components and/or non-mixture variables.
DOI: 10.6084/m9.figshare.7537922.v1
title: Developing a space-filling mixture experiment design when the components are subject to linear and nonlinear constraints

description: This article presents a case study of developing a space-filling design (SFD) for a constrained mixture experiment when the experimental region is specified by single-component constraints (SCCs), linear multiple-component constraints (LMCCs), and nonlinear multiple-component constraints (NMCCs). Traditional methods and software for designing constrained mixture experiments with SCCs and LMCCs (using either optimal design or SFD approaches) are not directly applicable because of the NMCCs. A SFD algorithm in the JMP<sup>®</sup> software was modified to accommodate the NMCCs; the modification is described in this article. The case study involves high-level waste (HLW) glass that is subject to the formation of nepheline crystals as the glass cools. This can significantly reduce the durability of HLW glass (which is undesirable). The goal of the study was to develop a SFD for the HLW glass compositional region where nepheline may form, and generate data for modeling nepheline formation as a function of HLW glass composition. The HLW glass composition region was specified in terms of eight components with SCCs, two LMCCs, and two NMCCs. The NMCCs were based on a nonlinear logistic regression model for a binary nepheline response that was developed from previous data. This article discusses the HLW glass example, the constraints specifying the experimental composition region, and how an existing algorithm for generating SFDs was modified to accommodate the NMCCs. The methodology discussed in this article can be applied to any example in which the experimental region is specified by one or more nonlinear constraints in addition to linear constraints on mixture components and/or non-mixture variables.
DOI: 10.34740/kaggle/dsv/5812382
title: COVID Vaccination in World (updated daily)
DOI: 10.4121/fd8b9805-c73e-4d25-b75d-6881137bec0a.v1
title: Data underlying the paper: Conceptualizing social well-being in activity-based offices

description: Employees' statements on social well-being in offices and script for concept mapping analysis
DOI: 10.4121/d09043de-63d4-47da-9360-2a6d04d5ebd3.v1
title: Data underlying the conference paper: Interior design features predicting satisfaction with office workspace privacy and noise.

description: Anonymous survey data on interior design features of office workspaces and user satisfaction with privacy and noise
DOI: 10.5281/zenodo.7985058
title: Adsorbed polymer conjugates to adaptively inhibit blood coagulation activation by medical membranes

description: Dataset to the manuscript <strong>'Adsorbed polymer conjugates to adaptively inhibit blood coagulation activation by medical membranes'</strong> Tina Helmecke, Dominik Hahn, André Ruland, Mikhail V. Tsurkan, Manfred F. Maitz, Carsten Werner
description: The work was supported by the Federal Ministry of Education and Research (BMBF) within the project Materialinnovationen für gesundes Leben: ProMatLeben – Polymere; Low Thrombogenic Blood Circuit – LTBC [grant number 13XP5075-C].
DOI: 10.5281/zenodo.7985059
title: Adsorbed polymer conjugates to adaptively inhibit blood coagulation activation by medical membranes

description: Dataset to the manuscript <strong>'Adsorbed polymer conjugates to adaptively inhibit blood coagulation activation by medical membranes'</strong> Tina Helmecke, Dominik Hahn, André Ruland, Mikhail V. Tsurkan, Manfred F. Maitz, Carsten Werner
description: The work was supported by the Federal Ministry of Education and Research (BMBF) within the project Materialinnovationen für gesundes Leben: ProMatLeben – Polymere; Low Thrombogenic Blood Circuit – LTBC [grant number 13XP5075-C].
DOI: 10.5281/zenodo.7986028
title: tachyeres_leucocephalus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7986027
title: tachyeres_leucocephalus_spades_01.fasta.gz

description: .
DOI: 10.7910/dvn/cxxyuu/azu3aq
title: HAALSI Dataverse Data Usage Agreement HIV Results.pdf