cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1mlx7c
title: CCDC 1507723: Experimental Crystal Structure Determination

description: Related Article: Kedar Bahadur Thapa, Ming-Hao Wu, Xiang-Kai Yang, Tsun-Ren Chen, Jhy-Der Chen|2018|Polyhedron|152|225|doi:10.1016/j.poly.2018.06.042
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: 10.5517/ccdc.csd.cc1mlx8d
title: CCDC 1507724: Experimental Crystal Structure Determination

description: Related Article: Kedar Bahadur Thapa, Ming-Hao Wu, Xiang-Kai Yang, Tsun-Ren Chen, Jhy-Der Chen|2018|Polyhedron|152|225|doi:10.1016/j.poly.2018.06.042
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: 10.18419/darus-2826/10
title: 7_blur.zip

description: :unav
DOI: 10.18419/darus-2826/11
title: 9.zip

description: :unav
DOI: 10.18419/darus-2826/12
title: MANIFEST.TXT

description: :unav
DOI: 10.18419/darus-2826/13
title: 8_blur.zip

description: :unav
DOI: 10.18419/darus-2826/8
title: 2_blur.zip

description: :unav
DOI: 10.18419/darus-2826/9
title: 3_blur.zip

description: :unav
DOI: 10.18419/darus-2826/14
title: group8.tab

description: :unav
DOI: 10.18419/darus-2826/15
title: README.txt

description: Readme of this dataset
DOI: 10.18419/darus-2826/16
title: group1.tab

description: :unav
DOI: 10.18419/darus-2826/17
title: 4_blur.zip

description: :unav
DOI: 10.18419/darus-2826/18
title: group3.tab

description: :unav
DOI: 10.18419/darus-2826/19
title: 6_blur.zip

description: :unav
DOI: 10.18419/darus-2826/20
title: 2.zip

description: :unav
DOI: 10.18419/darus-2826/21
title: 5_blur.zip

description: :unav
DOI: 10.18419/darus-2826/22
title: 8.zip

description: :unav
DOI: 10.18419/darus-2826/23
title: group5.tab

description: :unav
DOI: 10.18419/darus-2826/24
title: 10.zip

description: :unav
DOI: 10.18419/darus-2826/25
title: 10_blur.zip

description: :unav
DOI: 10.18419/darus-2826/26
title: 1.zip

description: :unav
DOI: 10.18419/darus-2826/27
title: group4.tab

description: :unav
DOI: 10.18419/darus-2826/28
title: group7.tab

description: :unav
DOI: 10.18419/darus-2826/29
title: group6.tab

description: :unav
DOI: 10.18419/darus-2826/30
title: 9_blur.zip

description: :unav
DOI: 10.18419/darus-2826/31
title: group10.tab

description: :unav
DOI: 10.18419/darus-2826
title: Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

description: Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied quantitatively so far. We propose a question-answering paradigm to study visualisation recallability and present VisRecall -- a novel dataset consisting of 200 information visualisations that are annotated with crowd-sourced human (N = 305) recallability scores obtained from 1,000 questions from five question types, which are related to titles, filtering information, finding extrema, retrieving values, and understanding visualisations. It aims to make fundamental contributions towards a new generation of methods to assist designers in optimising information visualisations. This dataset contains stimuli and collected participant data of VisRecall. The structure of the dataset is described in the README-File. Further, if you are interested in related codes of the publication, you can find a copy of the code repository (see Metadata for Research Software) within this dataset.
DOI: 10.18419/darus-2826/32
title: group2.tab

description: :unav
DOI: 10.6084/m9.figshare.25458979
title: Supplementary Material for: Posterior Uveitis in Ocular-Involving Chronic Lymphocytic Leukemia and the Utility of Negative MYD88 L265P Testing in the Diagnosis

description: Purpose: To investigate if a negative test result for MYD88 L265P mutation, associated with vitreoretinal lymphoma (VRL) and primary CNS lymphoma (PCNSL), in liquid biopsies from intraocular fluids can be a useful adjuvant test to diagnose chronic lymphocytic leukemia in clinically challenging cases.

Design: Observational case series.

Participants: Patients with a past medical history or examinations findings suspicious for intraocular lymphoma.

Methods: We evaluated both vitreous and aqueous humor-derived (AHD) MYD88 L265P mutation from patients that had suspect intraocular lymphoma that warranted a liquid biopsy procedure. Gold-standard cytopathology, flow cytometry, and gene rearrangement studies were also performed.

Main Outcomes: Detection of AHD MYD88 L265P mutation in liquid biopsies.

Results: All four patients had negative AHD MYD88 L265P mutation testing. Gold-standard testing (cytology) either showed paucicellular specimens (1/4) or specimens with high background inflammation (3/4). One case showed a rare B-cell clonal population (CD5+, Kappa-restricted by flow cytometry), but this was not sufficient to make any definitive diagnosis. All patients were subsequently initiated on systemic therapy and had improvement in their disease burden.

Conclusions: Negative AHD MYD88 L265P mutation testing can serve as an adjuvant molecular test to diagnose difficult cases of intraocular CLL.
DOI: 10.6084/m9.figshare.25000568
title: Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis

description: We describe a method, SCARlink (Single-cell ATAC+RNA linking), to predict gene expression from chromatin accessibility and enhancer regions using single-cell multi-ome data sets. More details about the method can be found on https://github.com/snehamitra/SCARlink.

Here, the data includes preprocessed files, scripts, and SCARlink output files necessary to generate the figures in the manuscript, "Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis". The preprocessed files are generated using publicly available data sets; the details of which can be found in the manuscript.
DOI: 10.6084/m9.figshare.25000568.v1
title: Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis

description: We describe a method, SCARlink (Single-cell ATAC+RNA linking), to predict gene expression from chromatin accessibility and enhancer regions using single-cell multi-ome data sets. More details about the method can be found on https://github.com/snehamitra/SCARlink.

Here, the data includes preprocessed files, scripts, and SCARlink output files necessary to generate the figures in the manuscript, "Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis". The preprocessed files are generated using publicly available data sets; the details of which can be found in the manuscript.
DOI: 10.6084/m9.figshare.24570004.v1
title: Highly reversible extrinsic electrocaloric effects over a wide temperature range in epitaxially strained SrTiO3 films

description: Figure 4. In-plane dielectric response of the strained STO film.
Figure 5. Electrical polarization of the strained STO film.
Figure 6. EC effects in the strained STO film.
DOI: 10.6084/m9.figshare.24570004
title: Highly reversible extrinsic electrocaloric effects over a wide temperature range in epitaxially strained SrTiO3 films

description: Figure 4. In-plane dielectric response of the strained STO film.
Figure 5. Electrical polarization of the strained STO film.
Figure 6. EC effects in the strained STO film.
DOI: 10.6084/m9.figshare.25133534
title: Flexible temperature-pressure dual sensor based on 3D spiral thermoelectric Bi<sub>2</sub>Te<sub>3</sub> films

description: The data about pressure-temperature sensors
DOI: 10.6084/m9.figshare.25133534.v1
title: Flexible temperature-pressure dual sensor based on 3D spiral thermoelectric Bi<sub>2</sub>Te<sub>3</sub> films

description: The data about pressure-temperature sensors
DOI: 10.6084/m9.figshare.24996749
title: Osteocyte mitochondria regulate angiogenesis of transcortical vessels

description: This is the source data of project. Each sheet presents one figure.
DOI: 10.6084/m9.figshare.24996749.v1
title: Osteocyte mitochondria regulate angiogenesis of transcortical vessels

description: This is the source data of project. Each sheet presents one figure.
DOI: 10.5281/zenodo.8369210
title: Development of Multiomics in situ Pairwise Sequencing (MiP-Seq) for Single-cell Resolution Multidimensional Spatial Omics

description: The original data used in the article: Development of Multiomics in situ Pairwise Sequencing (MiP-Seq) for Single-cell Resolution Multidimensional Spatial Omics Delineating the spatial multiomics landscape will pave the way to understanding the molecular basis of physiology and pathology. However, current spatial omics technology development is still in its infancy. Here, we developed a high-throughput targeted in situ sequencing strategy, multiomics in situ pairwise sequencing (MiP-Seq), to efficiently decipher multiplexed DNAs, RNAs, proteins, and small biomolecules at subcellular resolution. MiP-Seq simultaneously sequenced the dual barcode base of padlock probes, dramatically increasing the detection capacity to 10N by N rounds of sequencing. We delineated spatial gene profiles in the hypothalamus using MiP-Seq. Moreover, MiP-Seq was unitized to detect tumor gene mutations and allele-specific expression of parental genes and to differentiate sites with and without the m6A RNA modification at specific sites. MiP-Seq was combined with in vivo Ca2+ imaging and Raman imaging to obtain a spatial multiomics atlas correlated to neuronal activity and cellular biochemical fingerprints. Importantly, we proposed a “signal dilution strategy” to resolve the crowded signals that challenge the applicability of in situ sequencing. Together, our method improves spatial multiomics and precision diagnostics, and facilitates analyzing cell function in connection with gene profiles.
DOI: 10.5281/zenodo.8385829
title: Development of Multiomics in situ Pairwise Sequencing (MiP-Seq) for Single-cell Resolution Multidimensional Spatial Omics

description: The original data used in the article: Development of Multiomics in situ Pairwise Sequencing (MiP-Seq) for Single-cell Resolution Multidimensional Spatial Omics Delineating the spatial multiomics landscape will pave the way to understanding the molecular basis of physiology and pathology. However, current spatial omics technology development is still in its infancy. Here, we developed a high-throughput targeted in situ sequencing strategy, multiomics in situ pairwise sequencing (MiP-Seq), to efficiently decipher multiplexed DNAs, RNAs, proteins, and small biomolecules at subcellular resolution. MiP-Seq simultaneously sequenced the dual barcode base of padlock probes, dramatically increasing the detection capacity to 10N by N rounds of sequencing. We delineated spatial gene profiles in the hypothalamus using MiP-Seq. Moreover, MiP-Seq was unitized to detect tumor gene mutations and allele-specific expression of parental genes and to differentiate sites with and without the m6A RNA modification at specific sites. MiP-Seq was combined with in vivo Ca2+ imaging and Raman imaging to obtain a spatial multiomics atlas correlated to neuronal activity and cellular biochemical fingerprints. Importantly, we proposed a “signal dilution strategy” to resolve the crowded signals that challenge the applicability of in situ sequencing. Together, our method improves spatial multiomics and precision diagnostics, and facilitates analyzing cell function in connection with gene profiles.
DOI: 10.5281/zenodo.10086126
title: Development of Multiomics in situ Pairwise Sequencing (MiP-Seq) for Single-cell Resolution Multidimensional Spatial Omics

description: The original data used in the article: Development of Multiomics in situ Pairwise Sequencing (MiP-Seq) for Single-cell Resolution Multidimensional Spatial Omics


Delineating the spatial multiomics landscape will pave the way to understanding the molecular basis of physiology and pathology. However, current spatial omics technology development is still in its infancy. Here, we developed a high-throughput targeted in situ sequencing strategy, multiomics in situ pairwise sequencing (MiP-Seq), to efficiently decipher multiplexed DNAs, RNAs, proteins, and small biomolecules at subcellular resolution. MiP-Seq simultaneously sequenced the dual barcode base of padlock probes, dramatically increasing the detection capacity to 10N by N rounds of sequencing. We delineated spatial gene profiles in the hypothalamus using MiP-Seq. Moreover, MiP-Seq was unitized to detect tumor gene mutations and allele-specific expression of parental genes and to differentiate sites with and without the m6A RNA modification at specific sites. MiP-Seq was combined with in vivo Ca2+ imaging and Raman imaging to obtain a spatial multiomics atlas correlated to neuronal activity and cellular biochemical fingerprints. Importantly, we proposed a “signal dilution strategy” to resolve the crowded signals that challenge the applicability of in situ sequencing. Together, our method improves spatial multiomics and precision diagnostics, and facilitates analyzing cell function in connection with gene profiles.
DOI: 10.6084/m9.figshare.25047311
title: Comprehensive deciphering the alternative splicing patterns involved in leaf morphogenesis of Liriodendron chinense

description: Supplementary File S1. Updated annotation file in GFF3 format.Supplementary File S2. Genome wide alternative splicing events in L. Chinense.<br>
DOI: 10.34740/kaggle/dsv/7446110
title: Linkedin Canada: Data Science Jobs 2024 (Updated)
DOI: 10.34740/kaggle/dsv/7911728
title: Linkedin Canada: Data Science Jobs 2024 (Updated)
DOI: 10.34740/kaggle/dsv/7911733
title: Egypt Gold Prices | Daily Updated
DOI: 10.18728/igb-fred-871.0
title: Lake Stechlin methane data (2019-2020)

description: This data package contains the following data sets:
1) weekly/biweekly depth profiles of water temperature, DO and dissolved methane, weekly/biweekly atmospheric methane flux at the deepest point of Lake Stechlin;
2) monthly methane oxidation data at the deepest point of Lake Stechlin during Nov 2019-Oct 2020;
3) six surveys for dissolved methane concentration across the surface water of the lake during 2019;
4) methane mass balance modeling results during 2019-2020 (8 time points);
5) weather data provided by German Weather Service next Lake Stechlin (Jan 1, 2019-Dec 31, 2020).
DOI: 10.5281/zenodo.10845518
title: AWESOME Demographic and Socio-economic Scenarios

description: In this record, scenarios for population and economic drivers are provided, expected to impact the agricultural sector for countries in the Mediterranean and adjacent regions relevant for the AWESOME models according to the Shared Socio-economic Pathways (SSP) guidelines for the horizon 2020-2100. These scenarios were designed, modelled and generated during the the first deliverable of AWESOME WP2, named D2.1 - Demographic Scenarios.

Population scenarios are based on a probabilistic approach employing the Bayesian hierarchical population model proposed by Raftery et al., appropriately modified to fit within the SSP scenarios, while the economic drivers scenarios are provided in terms of the global macroeconomic MaGE model. Information concerning the methodology adopted for the scenario generation, the nature and format of the produced data as well as a small but representative sample of the produced projections are presented in the relevant report.

This record contains:

- The deliverable's report where the model considerations for generating both population (probabilistic) and economic scenarios under the SSP setting are presented.

- The propabilistic scenarios output for population under the SSP framework for the aggregate Mediterannean region and at national level for each country in the region (rda files in the compresed folders) (the country list is contained in the report).

- The generated economic drivers scenarios output under the SSP framework for the aggregate Mediterannean region and at national level for each country in the region (xls file).

- Description of the data (txt file)
DOI: 10.5281/zenodo.10850065
title: AWESOME Demographic and Socio-economic Scenarios

description: In this record, scenarios for population and economic drivers are provided, expected to impact the agricultural sector for countries in the Mediterranean and adjacent regions relevant for the AWESOME models according to the Shared Socio-economic Pathways (SSP) guidelines for the horizon 2020-2100. These scenarios were designed, modelled and generated during the the first deliverable of AWESOME WP2, named D2.1 - Demographic Scenarios.

Population scenarios are based on a probabilistic approach employing the Bayesian hierarchical population model proposed by Raftery et al., appropriately modified to fit within the SSP scenarios, while the economic drivers scenarios are provided in terms of the global macroeconomic MaGE model. Information concerning the methodology adopted for the scenario generation, the nature and format of the produced data as well as a small but representative sample of the produced projections are presented in the relevant report.

This record contains:

- The deliverable's report where the model considerations for generating both population (probabilistic) and economic scenarios under the SSP setting are presented.

- The propabilistic scenarios output for population under the SSP framework for the aggregate Mediterannean region and at national level for each country in the region (rda files in the compresed folders) (the country list is contained in the report).

- The generated economic drivers scenarios output under the SSP framework for the aggregate Mediterannean region and at national level for each country in the region (xls file).

- Description of the data (txt file)
DOI: 10.6084/m9.figshare.25458991
title: Data used for the research: The role of antecedent winter soil moisture carryover on spring runoff predictability in snow-influenced Western U.S. catchments

description: This package includes all the representative data used in the analyses in the paper entitled "The role of antecedent winter soil moisture carryover on spring runoff predictability in snow-influenced Western U.S. catchments"
DOI: 10.6084/m9.figshare.25458991.v1
title: Data used for the research: The role of antecedent winter soil moisture carryover on spring runoff predictability in snow-influenced Western U.S. catchments

description: This package includes all the representative data used in the analyses in the paper entitled "The role of antecedent winter soil moisture carryover on spring runoff predictability in snow-influenced Western U.S. catchments"
DOI: 10.18728/igb-fred-872.1
title: Lake Stechlin methane data (2019-2020)

description: This data package contains the following data sets:
1) weekly/biweekly depth profiles of water temperature, DO and dissolved methane, weekly/biweekly atmospheric methane flux at the deepest point of Lake Stechlin;
2) monthly methane oxidation data at the deepest point of Lake Stechlin during Nov 2019-Oct 2020;
3) six surveys for dissolved methane concentration across the surface water of the lake during 2019;
4) methane mass balance modeling results during 2019-2020 (8 time points);
5) weather data provided by German Weather Service next Lake Stechlin (Jan 1, 2019-Dec 31, 2020).
DOI: 10.11583/dtu.25103102.v1
title: LabLiquidVision

description: The LabLiquidVolume dataset includes 5,451 images of liquids in laboratory containers. The images were taken using an Intel RealSense D415 camera in different environments in the automation laboratory and various research laboratories at the Novo Nordisk R&eD site in Måløv, Denmark. The ground truth of the liquid volume was measured using a Mettler Toledo XSR2002S balance with an accuracy of ± 0.5 mL. Twelve of the most common research laboratory containers, including the consumables used in cell culture processes, were selected. Various liquid volumes (3 - 600 mL), distances to the containers (50 - 600 mm), backgrounds, and camera angles were used. However, all images were taken from above so that the surface of the liquid is visible. In consultation with laboratory scientists, three different liquid colors were chosen: red, green, and blue. Besides transparent liquids, these are the most frequent colors of liquids in laboratory experiments. For the final dataset, the content is extended by the output of the segmentation and depth estimation model using the RGB images as input. This includes the segmented liquid and vessel depth maps, the liquid and vessel segmentation masks (each as .png and .npy files), and the unsegmented depth maps of liquid and vessel. The vessels in the images in the dataset have an average maximum volume of 178 mL and an average fill proportion of 48%. 31% percent of the samples contain green, 57% red, and 12% blue liquid.Using this dataset, we propose a vision-based liquid volume estimation using a novel two-step Convolutional Neural Network (CNN) architecture. In the first step, a single RGB input image is processed by the first CNN to predict the segmentation and depth of the transparent container and the containing liquid. For the training of the first step, we benefit from existing datasets targeting transparent containers such as TransProteus and Vector-LabPics. These intermediate predictions are further processed by a second CNN to give an estimate of the liquid volume in the container. For the training of the second network, the proposed new dataset LabLiquidVolume is used.