cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/14cdc-x8v09
title: Dataset: Gossypium hirsutum gene of unknown function Gohir.A02G131900 encodes a potential plant-specific, dual-domain exo-1,3-β-glucosidase

description: Full MSA for Figure 1c GH5 alignment
DOI: 10.22002/rm45z-4k762
title: Dataset: Gossypium hirsutum gene of unknown function Gohir.A02G131900 encodes a potential plant-specific, dual-domain exo-1,3-β-glucosidase

description: ConSurf sequence conservation results
DOI: 10.22002/vqckk-6vv91
title: Dataset: Gossypium hirsutum gene of unknown function Gohir.A02G131900 encodes a potential plant-specific, dual-domain exo-1,3-β-glucosidase

description: Full MSA for Figure 1c Fascin alignment
DOI: 10.21947/2282848
title: DOE Buoy 130 Lidar / Processed Data

description: This dataset contains preliminary processed data from DOE Buoy 130 deployed for WFIP-3. A new ZX 300 M lidar is currently deployed on the buoy.
DOI: 10.15121/2282853
title: COMSOL Models and Simulation Results for Closed-Loop Geothermal Systems with Thermal Enhancements

description: The Closed-Loop Geothermal Working Group and the National Renewable Energy Laboratory (NREL) have studied the performance of disc-shaped and linear thermal enhancements (conductive material introduced around a wellbore) in closed-loop geothermal systems. COMSOL models were developed to investigate the increase in heat production in systems with thermal enhancements compared to those without, across a range of scenarios. This dataset includes two example COMSOL models, a summary of the simulation results, and a link to an accompanying paper. Studied are idealized versions of two thermal enhancement designs: (1) existing or newly created fractures surrounding the wellbore, filled with highly conductive material, and (2) a 'fishbone structure,' where short wellbores are drilled radially outward from the main wellbore and filled with highly conductive material.
DOI: 10.34740/kaggle/ds/4364479
title: 🇵🇭 GMA-7 Network Youtube Channel Comments
DOI: 10.6084/m9.figshare.25097240
title: data_codeR2.zip

description: Data and code associated with the manuscript:Resasco J, Vázquez DP, McCain CM, and Olson SD. Was Clements wrong? Insights from plant distributions of his life-long study site, Pikes Peak. In revision <i>The American Naturalist</i>.
DOI: 10.6084/m9.figshare.24312292.v2
title: feature-representation-for-LLMs

description: This is a database for feature representation of ESM2, which includes Swiss data, Swiss normalized data, original TrEMBL data, original TrEMBL normalized data, non-homology TrEMBL data and Table S10.For specific usage of the dataset, please refer to Github.
DOI: 10.34740/kaggle/dsv/7495674
title: A Synthetic Journey through 10,000 Actor Profiles
DOI: 10.34740/kaggle/dsv/7495854
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.6084/m9.figshare.25048334
title: 人的血清代谢物

description: 人血清UHPLC-QE-MS非靶向代谢组学分析报告
DOI: 10.6084/m9.figshare.25048334.v1
title: 人的血清代谢物

description: 人血清UHPLC-QE-MS非靶向代谢组学分析报告
DOI: 10.5281/zenodo.10576685
title: Full-length, single-cell RNA-sequencing of human bone marrow subpopulations reveals hidden complexity

description: Full-length, single-cell RNA-sequencing of human bone marrow subpopulations reveals hidden complexity


Bone marrow progenitor cell differentiation has frequently been used as a model for studying cellular plasticity and cell-fate decisions. Recent analysis at the level of single-cells has expanded knowledge of the transcriptional landscape of human hematopoietic cell lineages. Using single-molecule real-time (SMRT) full-length RNA sequencing, we have previously shown that human bone marrow lineage-negative (Lin-neg) cell populations contain a surprisingly diverse set of mRNA isoforms. Here, we report from single cell, full-length RNA sequencing that this diversity is also reflected at the single-cell level. From fresh human bone marrow unselected and lineage-negative progenitor cells were isolated by droplet-based single-cell selection (10xGenomics). The single cell-derived mRNAs were analyzed by full-length SMRT and short-read sequencing. In both samples we detected an average of 8000 different genes using short-read sequencing. Differential expression analysis arranged the single-cells of the total bone marrow into only four clusters whereas the Lin-neg population was much more diverse with nine clusters. mRNA isoform analysis of the single-cell populations using full-length sequencing revealed that Lin-neg cells contain on average 24% more novel splice variants than the total bone marrow cells. Interestingly, among the most frequent genes expressing novel isoforms were members of the spliceosome, e.g. HNRNPs, DEAD box helicases and SRSFs. Mapping the isoforms from all genes to the cell type clusters revealed that total bone marrow cells express novel isoforms only in a small subset of clusters. On the other hand, lineage-negative progenitor cells expressing novel isoforms were present in nearly all subpopulations. In conclusion, on a single-cell level lineage-negative cells express a higher diversity of genes and more alternatively spliced novel isoforms suggesting that cells in this subpopulation are poised for different fates.
DOI: 10.5281/zenodo.10576720
title: Full-length, single-cell RNA-sequencing of human bone marrow subpopulations reveals hidden complexity

description: Full-length, single-cell RNA-sequencing of human bone marrow subpopulations reveals hidden complexity


Bone marrow progenitor cell differentiation has frequently been used as a model for studying cellular plasticity and cell-fate decisions. Recent analysis at the level of single-cells has expanded knowledge of the transcriptional landscape of human hematopoietic cell lineages. Using single-molecule real-time (SMRT) full-length RNA sequencing, we have previously shown that human bone marrow lineage-negative (Lin-neg) cell populations contain a surprisingly diverse set of mRNA isoforms. Here, we report from single cell, full-length RNA sequencing that this diversity is also reflected at the single-cell level. From fresh human bone marrow unselected and lineage-negative progenitor cells were isolated by droplet-based single-cell selection (10xGenomics). The single cell-derived mRNAs were analyzed by full-length SMRT and short-read sequencing. In both samples we detected an average of 8000 different genes using short-read sequencing. Differential expression analysis arranged the single-cells of the total bone marrow into only four clusters whereas the Lin-neg population was much more diverse with nine clusters. mRNA isoform analysis of the single-cell populations using full-length sequencing revealed that Lin-neg cells contain on average 24% more novel splice variants than the total bone marrow cells. Interestingly, among the most frequent genes expressing novel isoforms were members of the spliceosome, e.g. HNRNPs, DEAD box helicases and SRSFs. Mapping the isoforms from all genes to the cell type clusters revealed that total bone marrow cells express novel isoforms only in a small subset of clusters. On the other hand, lineage-negative progenitor cells expressing novel isoforms were present in nearly all subpopulations. In conclusion, on a single-cell level lineage-negative cells express a higher diversity of genes and more alternatively spliced novel isoforms suggesting that cells in this subpopulation are poised for different fates.
DOI: 10.5281/zenodo.7055561
title: Full-length, single-cell RNA-sequencing of human bone marrow subpopulations reveals hidden complexity

description: Full-length, single-cell RNA-sequencing of human bone marrow subpopulations reveals hidden complexity


Bone marrow progenitor cell differentiation has frequently been used as a model for studying cellular plasticity and cell-fate decisions. Recent analysis at the level of single-cells has expanded knowledge of the transcriptional landscape of human hematopoietic cell lineages. Using single-molecule real-time (SMRT) full-length RNA sequencing, we have previously shown that human bone marrow lineage-negative (Lin-neg) cell populations contain a surprisingly diverse set of mRNA isoforms. Here, we report from single cell, full-length RNA sequencing that this diversity is also reflected at the single-cell level. From fresh human bone marrow unselected and lineage-negative progenitor cells were isolated by droplet-based single-cell selection (10xGenomics). The single cell-derived mRNAs were analyzed by full-length SMRT and short-read sequencing. In both samples we detected an average of 8000 different genes using short-read sequencing. Differential expression analysis arranged the single-cells of the total bone marrow into only four clusters whereas the Lin-neg population was much more diverse with nine clusters. mRNA isoform analysis of the single-cell populations using full-length sequencing revealed that Lin-neg cells contain on average 24% more novel splice variants than the total bone marrow cells. Interestingly, among the most frequent genes expressing novel isoforms were members of the spliceosome, e.g. HNRNPs, DEAD box helicases and SRSFs. Mapping the isoforms from all genes to the cell type clusters revealed that total bone marrow cells express novel isoforms only in a small subset of clusters. On the other hand, lineage-negative progenitor cells expressing novel isoforms were present in nearly all subpopulations. In conclusion, on a single-cell level lineage-negative cells express a higher diversity of genes and more alternatively spliced novel isoforms suggesting that cells in this subpopulation are poised for different fates.
DOI: 10.5281/zenodo.7055562
title: Full-length, single-cell RNA-sequencing of human bone marrow subpopulations reveals hidden complexity

description: Full-length, single-cell RNA-sequencing of human bone marrow subpopulations reveals hidden complexity Bone marrow progenitor cell differentiation has frequently been used as a model for studying cellular plasticity and cell-fate decisions. Recent analysis at the level of single-cells has expanded knowledge of the transcriptional landscape of human hematopoietic cell lineages. Using single-molecule real-time (SMRT) full-length RNA sequencing, we have previously shown that human bone marrow lineage-negative (Lin-neg) cell populations contain a surprisingly diverse set of mRNA isoforms. Here, we report from single cell, full-length RNA sequencing that this diversity is also reflected at the single-cell level. From fresh human bone marrow unselected and lineage-negative progenitor cells were isolated by droplet-based single-cell selection (10xGenomics). The single cell-derived mRNAs were analyzed by full-length SMRT and short-read sequencing. In both samples we detected an average of 8000 different genes using short-read sequencing. Differential expression analysis arranged the single-cells of the total bone marrow into only four clusters whereas the Lin-neg population was much more diverse with nine clusters. mRNA isoform analysis of the single-cell populations using full-length sequencing revealed that Lin-neg cells contain on average 24% more novel splice variants than the total bone marrow cells. Interestingly, among the most frequent genes expressing novel isoforms were members of the spliceosome, e.g. HNRNPs, DEAD box helicases and SRSFs. Mapping the isoforms from all genes to the cell type clusters revealed that total bone marrow cells express novel isoforms only in a small subset of clusters. On the other hand, lineage-negative progenitor cells expressing novel isoforms were present in nearly all subpopulations. In conclusion, on a single-cell level lineage-negative cells express a higher diversity of genes and more alternatively spliced novel isoforms suggesting that cells in this subpopulation are poised for different fates.
DOI: 10.5281/zenodo.7055569
title: Full-length, single-cell RNA-sequencing of human bone marrow subpopulations reveals hidden complexity

description: Full-length, single-cell RNA-sequencing of human bone marrow subpopulations reveals hidden complexity Bone marrow progenitor cell differentiation has frequently been used as a model for studying cellular plasticity and cell-fate decisions. Recent analysis at the level of single-cells has expanded knowledge of the transcriptional landscape of human hematopoietic cell lineages. Using single-molecule real-time (SMRT) full-length RNA sequencing, we have previously shown that human bone marrow lineage-negative (Lin-neg) cell populations contain a surprisingly diverse set of mRNA isoforms. Here, we report from single cell, full-length RNA sequencing that this diversity is also reflected at the single-cell level. From fresh human bone marrow unselected and lineage-negative progenitor cells were isolated by droplet-based single-cell selection (10xGenomics). The single cell-derived mRNAs were analyzed by full-length SMRT and short-read sequencing. In both samples we detected an average of 8000 different genes using short-read sequencing. Differential expression analysis arranged the single-cells of the total bone marrow into only four clusters whereas the Lin-neg population was much more diverse with nine clusters. mRNA isoform analysis of the single-cell populations using full-length sequencing revealed that Lin-neg cells contain on average 24% more novel splice variants than the total bone marrow cells. Interestingly, among the most frequent genes expressing novel isoforms were members of the spliceosome, e.g. HNRNPs, DEAD box helicases and SRSFs. Mapping the isoforms from all genes to the cell type clusters revealed that total bone marrow cells express novel isoforms only in a small subset of clusters. On the other hand, lineage-negative progenitor cells expressing novel isoforms were present in nearly all subpopulations. In conclusion, on a single-cell level lineage-negative cells express a higher diversity of genes and more alternatively spliced novel isoforms suggesting that cells in this subpopulation are poised for different fates.
DOI: 10.5281/zenodo.10576725
title: AMS AI 2024 Learning Methods Dataset

description: Companion dataset to https://github.com/ekrell/ams_ai_shortcourse_2024
DOI: 10.5281/zenodo.10576726
title: AMS AI 2024 Learning Methods Dataset

description: Companion dataset to https://github.com/ekrell/ams_ai_shortcourse_2024
DOI: 10.57967/hf/1700
title: vaers-outcomes
DOI: 10.5281/zenodo.6514698
title: The antioxidant system response to drought-stressed Diospyros lotus treated with exogenous melatonin

description: Raw data
DOI: 10.5281/zenodo.6526608
title: The antioxidant system response to drought-stressed Diospyros lotus treated with exogenous melatonin

description: Raw data
DOI: 10.5281/zenodo.10574563
title: The antioxidant system response to drought-stressed Diospyros lotus treated with exogenous melatonin

description: Raw data
DOI: 10.5281/zenodo.6514697
title: The antioxidant system response to drought-stressed Diospyros lotus treated with exogenous melatonin

description: Raw data
DOI: 10.5281/zenodo.10537097
title: RNA-seq-protocol
DOI: 10.5281/zenodo.10576137
title: RNA-seq-protocol

description: This is the data for conducting RNAseq analysis in plants. This dataset has been created to make it easier to follow the protocol presented in the Protocols journal.
DOI: 10.5281/zenodo.10537096
title: RNA-seq-protocol

description: This is the data for conducting RNAseq analysis in plants. This dataset has been created to make it easier to follow the protocol presented in the Protocols journal.
DOI: 10.5281/zenodo.10570411
title: RNA-seq-protocol

description: This is the data for conducting RNAseq analysis in plants. This dataset has been created to make it easier to follow the protocol presented in the Protocols journal.
DOI: 10.6084/m9.figshare.25097378
title: figure data

description: Lactobacillus rhamnosus GG ameliorates hyperuricemia in a novel model
DOI: 10.34740/kaggle/dsv/7496241
title: sdloralora
DOI: 10.6084/m9.figshare.25097402
title: Goose fecal metabolites

description: Lactobacillus rhamnosus GG ameliorates hyperuricemia in a novel model
DOI: 10.6084/m9.figshare.25097402.v1
title: Goose fecal metabolites

description: Lactobacillus rhamnosus GG ameliorates hyperuricemia in a novel model
DOI: 10.5281/zenodo.10576827
title: Maps of the prevalence of antimicrobial resistance in E. coli and Salmonella in food animals in low- and middle-income countries

description: Maps of the prevalence of antimicrobial resistance in E. coli and Salmonella in food animals in low- and middle-income countries at 10km resolution. These maps were published as Fig. 2 and Fig. 3 in Zhao et al. 2024 (http://www.nature.com/articles/s41467-024-45111-7).
DOI: 10.5281/zenodo.10576828
title: Maps of the prevalence of antimicrobial resistance in E. coli and Salmonella in food animals in low- and middle-income countries

description: Maps of the prevalence of antimicrobial resistance in E. coli and Salmonella in food animals in low- and middle-income countries at 10km resolution. These maps were published as Fig. 2 and Fig. 3 in Zhao et al. 2024 (http://www.nature.com/articles/s41467-024-45111-7).
DOI: 10.6084/m9.figshare.25097408
title: SERUM METABOLITES

description: Lactobacillus rhamnosus GG ameliorates hyperuricemia in a novel model
DOI: 10.6084/m9.figshare.25097408.v1
title: SERUM METABOLITES

description: Lactobacillus rhamnosus GG ameliorates hyperuricemia in a novel model
DOI: 10.6084/m9.figshare.25097426
title: MICE SERUM METABOLITES

description: Lactobacillus rhamnosus GG ameliorates hyperuricemia in a novel model
DOI: 10.34740/kaggle/dsv/7496453
title: Contrastive Language Image Pretraining by openai
DOI: 10.15151/esrf-es-1409589197
title: BAG Barcelona

description: BAG Barcelona joins 9 groups that belong to two different research institutions: the Institute of Molecular Biology of Barcelona from the Spanish Research Council (IBMB-CSIC) and the Institute for Research in Biomedicine from Barcelona (IRB Barcelona). With a long tradition of accessing the ESRF, the main subjects of research from the BAG groups include protein/DNA complexes, components of viruses, molecular machines, molecular mechanisms of proteases and other enzymes, de-novo design of protein scaffolds and development of crystallopgrahic methods. Our scientific outcomes strongly rely on the excellent performance of ESRF beamlines, from which we are able to retrieve high-quality structural data with the exceptional support from their scientific staff .
DOI: 10.15151/esrf-es-1430530052
title: Phase contrast tomography of Arctic sea ice cores from the MOSAiC expedition

description: The experiment will build on a set of Arctic sea ice cores recently collected during the largest Arctic expedition in history (MOSAiC,’Multidisciplinary drifting
Observatory for the Study of Arctic Climate’, October 2019-September 2020, http://www.mosaicexpedition.org). These cores contain important and still unraveled
information about the sea ice properties during the MOSAiC drift. We aim for phase-contrast tomography and hierarchical scanning of several full sea ice cores
from MOSAiC, exploring the unique possibility at BM18 to scan large sample volumes with locally high resolution. The experiment will set a benchmark in 3D
image quality of sea ice microstructure and produce an open source dataset be relevant for many polar research topics and groups within and outside the
MOSAiC consortium.
DOI: 10.15151/esrf-es-1430230544
title: Structural ductility in Ru/Al2O3 catalysts induced by H2 and CO: gas-phase vs. liquid phase conditions

description: We propose to study the H2- and CO-induced structural reconstruction of Ru nanoparticles (NPs) in Ru/Al2O3 catalysts by time-resolved XRD/PDF experiments under gas- and liquid-phase conditions. Preliminary gas-phase experiments (CH-6371) showed restructuring of Ru NPs during H2 activation, and literature reports ample evidence of CO-induced oxidative disruption of small Ru clusters, responsible for an increase in metal dispersion but potentially deactivating the catalyst. Yet, a comprehensive description of adsorbate-induced structural change within Ru catalysts is lacking. Although important for industrial applications, restructuring processes are much less explored in the liquid phase. These results will further inform on the comparison of gas-phase and liquid-phase conditions and cover the structural dynamics and kinetics of Ru NPs during the key stages of Ru-hydride formation and CO-induced oxidative disruption.
DOI: 10.6084/m9.figshare.25097462
title: IEEE-118 distribution network data

description: The dataset contains the resistance and reactance data of IEEE-118 distribution system, active and reactive power data of IEEE-118 distribution system.
DOI: 10.5281/zenodo.10575666
title: YUTO MMS Dataset, Sequence C, Images, Part2
DOI: 10.5281/zenodo.10575667
title: YUTO MMS Dataset, Sequence C, Images, Part2
DOI: 10.6084/m9.figshare.25097468
title: Student interaction, satisfaction, acceptance measurement scales.pdf

description: Measurement scales (e.g., interaction, satisfaction, acceptance of online learning scales)
DOI: 10.15151/esrf-es-1452812080
title: Cryo-electron microscopy EPN BAG

description: At the EPN campus level structural biology work is carried out in all the 4 institutes (IBS, ESRF, ILL and EMBL). Today all structural biology groups are turning
to cryo-EM. The EM demand is therefore extremely high and present in the 4 Institutes.
In a nutshell, there are more than 45 PIs that could benefit from Krios time on the EPN campus (more than 90 different samples). Around 20 % of the sample are ready for high resolution data collection with already prepared grids that have been pre-screened on Glacios microscopes. Whereas some work could be carried out on Glacios microscopes, for difficult samples the use of a krios is indispensable (heterogeneous sample or limited concentration requiring a large number of images; small protein etc). Only these samples will be selected for Krios time at the BAG level
DOI: 10.14469/hpc/13398
title: TBDPS-Sulfoximines (2a-g)

description: TBDPS-Sulfoximines (2a-g)
DOI: 10.14469/hpc/13399
title: beta-Keto Sulfoximines (4a-g)

description: beta-Keto Sulfoximines (4a-g)
DOI: 10.14469/hpc/13400
title: alpha-Diazo beta-Keto Sulfoximines (6a-g)

description: alpha-Diazo beta-Keto Sulfoximines (6a-g)
DOI: 10.14469/hpc/13401
title: alpha-Diazo Sulfoximines (8a-g)

description: alpha-Diazo Sulfoximines (8a-g)
DOI: 10.14469/hpc/13402
title: Alkyne starting materials (S11a-S20a)

description: Alkyne starting materials (S11a-S20a)
DOI: 10.14469/hpc/13403
title: Cycloaddition product (9-25)

description: Cycloaddition product (9-25)
DOI: 10.14469/hpc/13404
title: Pyrazole Alkene Adduct (21)

description: Pyrazole Alkene Adduct (21)
DOI: 10.14469/hpc/13405
title: Derivatised product (26-29)

description: Derivatised product (26-29)
DOI: 10.14469/hpc/13431
title: Boc-protected sulfoximine (3a and 5a)

description: Boc-protected sulfoximine (3a and 5a)