cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4267171
title: Example annotation file

description: Example annotation file for tutorial 10.5281/zenodo.3971666. File is in GFF3 format, and is the annotation from one of the contigs from an assembly of a chloroplast genome. Annotation performed in GeSeq at https://chlorobox.mpimp-golm.mpg.de/geseq.html.
DOI: 10.5281/zenodo.4267170
title: Example annotation file

description: Example annotation file for tutorial 10.5281/zenodo.3971666. File is in GFF3 format, and is the annotation from one of the contigs from an assembly of a chloroplast genome. Annotation performed in GeSeq at https://chlorobox.mpimp-golm.mpg.de/geseq.html.
DOI: 10.6084/m9.figshare.13218836
title: Data and code from: Leaf traits predict global patterns in the structure and flammability of forest litter beds

description: The dataset contains leaf trait, litter structure and flammability synthesized in the manuscript. The code can be used to perform data analysis and reproduce some of the figures in the manuscript.
DOI: 10.6084/m9.figshare.13218827.v2
title: Data from: Leaf traits predict global patterns in the structure and flammability of forest litter beds

description: The dataset contains data on leaf trait, litter structure and flammability per species.
DOI: 10.5517/ccdc.csd.cc21vfw7
title: CCDC 1902249: Experimental Crystal Structure Determination

description: Related Article: Guo-Qiang Li, Chong Chen, Jiao Ji, Ai-Quan Jia, Qian-Feng Zhang|2019|Inorg.Chim.Acta|498|119173|doi:10.1016/j.ica.2019.119173
DOI: 10.5517/ccdc.csd.cc21vfx8
title: CCDC 1902250: Experimental Crystal Structure Determination

description: Related Article: Guo-Qiang Li, Chong Chen, Jiao Ji, Ai-Quan Jia, Qian-Feng Zhang|2019|Inorg.Chim.Acta|498|119173|doi:10.1016/j.ica.2019.119173
DOI: 10.5517/ccdc.csd.cc24zgwh
title: CCDC 1995497: Experimental Crystal Structure Determination

description: Related Article: Kwanchanok Udomsasporn, Setsiri Haesuwannakij, Parichat Piromjitpong, Phongnarin Chumsaeng, Khamphee Phomphrai|2020|Dalton Trans.|49|14378|doi:10.1039/D0DT03323E
DOI: 10.5517/ccdc.csd.cc24zh0n
title: CCDC 1995501: Experimental Crystal Structure Determination

description: Related Article: Kwanchanok Udomsasporn, Setsiri Haesuwannakij, Parichat Piromjitpong, Phongnarin Chumsaeng, Khamphee Phomphrai|2020|Dalton Trans.|49|14378|doi:10.1039/D0DT03323E
DOI: 10.5517/ccdc.csd.cc24zh1p
title: CCDC 1995502: Experimental Crystal Structure Determination

description: Related Article: Kwanchanok Udomsasporn, Setsiri Haesuwannakij, Parichat Piromjitpong, Phongnarin Chumsaeng, Khamphee Phomphrai|2020|Dalton Trans.|49|14378|doi:10.1039/D0DT03323E
DOI: 10.5517/ccdc.csd.cc24zh2q
title: CCDC 1995503: Experimental Crystal Structure Determination

description: Related Article: Kwanchanok Udomsasporn, Setsiri Haesuwannakij, Parichat Piromjitpong, Phongnarin Chumsaeng, Khamphee Phomphrai|2020|Dalton Trans.|49|14378|doi:10.1039/D0DT03323E
DOI: 10.5517/ccdc.csd.cc24zh3r
title: CCDC 1995504: Experimental Crystal Structure Determination

description: Related Article: Kwanchanok Udomsasporn, Setsiri Haesuwannakij, Parichat Piromjitpong, Phongnarin Chumsaeng, Khamphee Phomphrai|2020|Dalton Trans.|49|14378|doi:10.1039/D0DT03323E
DOI: 10.5517/ccdc.csd.cc24zh4s
title: CCDC 1995505: Experimental Crystal Structure Determination

description: Related Article: Kwanchanok Udomsasporn, Setsiri Haesuwannakij, Parichat Piromjitpong, Phongnarin Chumsaeng, Khamphee Phomphrai|2020|Dalton Trans.|49|14378|doi:10.1039/D0DT03323E
DOI: 10.5517/ccdc.csd.cc24zh5t
title: CCDC 1995506: Experimental Crystal Structure Determination

description: Related Article: Kwanchanok Udomsasporn, Setsiri Haesuwannakij, Parichat Piromjitpong, Phongnarin Chumsaeng, Khamphee Phomphrai|2020|Dalton Trans.|49|14378|doi:10.1039/D0DT03323E
DOI: 10.5517/ccdc.csd.cc269bc7
title: CCDC 2034758: Experimental Crystal Structure Determination

description: Related Article: Xue-Jing Yun, Chun Ling, Wei Deng, Zhen-Jiang Liu, Zi-Jian Yao|2020|Organometallics|39|3830|doi:10.1021/acs.organomet.0c00554
DOI: 10.5517/ccdc.csd.cc25k362
title: CCDC 2012433: Experimental Crystal Structure Determination

description: Related Article: Ashley M. King, Hazel A. Sparkes, Richard L. Wingad, Duncan F. Wass|2020|Organometallics|39|3873|doi:10.1021/acs.organomet.0c00588
DOI: 10.5517/ccdc.csd.cc25k373
title: CCDC 2012434: Experimental Crystal Structure Determination

description: Related Article: Ashley M. King, Hazel A. Sparkes, Richard L. Wingad, Duncan F. Wass|2020|Organometallics|39|3873|doi:10.1021/acs.organomet.0c00588
DOI: 10.25952/5fab5ee056fdc
title: Proteomics-Based Studies to Reveal the Influence of Profilin1 Expression in Breast Cancer Cells During Oxidative Stress

description: This dataset is associated with the PhD thesis available here: https://hdl.handle.net/1959.11/29641.
description: The dataset consists of five parts. Part one contains the cell viability cureve that had been included in excel documents explain and analysing the viable cancer cells under oxidative stress by using flow cytometry. Part two contains western blots data that validate the proteomics findings for breast cancer and the transfected breast cancer cells that exposed to H2O2. The third part consist of the transferred proteomics raw data that had been obtained from Nano-LC-mass spectrometry (MS/MS) then collected, and subjected to Mascout and PEAKS7 studio for protein identification and quantification. The output of the PEAKS studio was considered as the fourth part for protein identification and quantification. The fifth part contains the bioinformatics database that had been subjected to String and DAVID software to biologically characterize proteomics data and that was done after the proteins got identified and quantified.
DOI: 10.6084/m9.figshare.13213787
title: Source Data.zip

description: Experimental data for submission of manuscript NCOMMS-20-24018A
DOI: 10.6084/m9.figshare.13213787.v2
title: Source Data.zip

description: Experimental data for submission of manuscript NCOMMS-20-24018A
DOI: 10.6084/m9.figshare.13213787.v1
title: Source Data.zip

description: Experimental data for submission of manuscript NCOMMS-20-24018A
DOI: 10.21227/gza4-n422
title: GeoNRW

description: This dataset consists of orthorectified aerial photographs, LiDAR derived digital elevation models and segmentation maps with 10 classes, acquired through the open data program of the German state North Rhine-Westphalia (https://www.opengeodata.nrw.de/produkte/) and refined with OpenStreeMap. Please check the license information (http://www.govdata.de/dl-de/by-2-0). Preprocessing consists of resampling the 0.1m resolution photographs to 1m, taking the first LiDAR return while averaging within 1m² to arrive at the same resolution as the photographs, and rasterizing vector files of the land cover data. In total the dataset consists of 7783 triplets of size 1000x1000 pixels.
DOI: 10.21227/8cz9-j358
title: GeoNRW

description: This dataset consists of orthorectified aerial photographs, LiDAR derived digital elevation models and segmentation maps with 10 classes, acquired through the open data program of the German state North Rhine-Westphalia (https://www.opengeodata.nrw.de/produkte/) and refined with OpenStreeMap. Please check the license information (http://www.govdata.de/dl-de/by-2-0). Preprocessing consists of resampling the 0.1m resolution photographs to 1m, taking the first LiDAR return while averaging within 1m² to arrive at the same resolution as the photographs, and rasterizing vector files of the land cover data. In total the dataset consists of 7783 triplets of size 1000x1000 pixels.
DOI: 10.6084/m9.figshare.13172474
title: Untitled Item

description: ijixxa<br>
DOI: 10.6084/m9.figshare.13172474.v2
title: Untitled Item

description: ijixxa<br>
DOI: 10.6084/m9.figshare.13172474.v1
title: CNRDv1.0_monthly_1971_1980.nc

description: Annual 0.25° grided natural runoff estimates for the period 1971–1980 over China.<br>
DOI: 10.6084/m9.figshare.13219202
title: Additional file 1 of Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal

description: Additional file 1. Multiplexed amplicon deep sequencing data of Pfmsp1 gene.
DOI: 10.6084/m9.figshare.13219202.v1
title: Additional file 1 of Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal

description: Additional file 1. Multiplexed amplicon deep sequencing data of Pfmsp1 gene.
DOI: 10.6084/m9.figshare.13219205
title: Additional file 2 of Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal

description: Additional file 2. Multiplexed amplicon deep sequencing data of Pfmsp2 gene.
DOI: 10.6084/m9.figshare.13219212
title: Additional file 2 of 3D - Printed Patient Specific Instrumentation in Corrective Osteotomy of the Femur and Pelvis: A Review of the Literature

description: Additional file 2. Image.
DOI: 10.6084/m9.figshare.13219205.v1
title: Additional file 2 of Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal

description: Additional file 2. Multiplexed amplicon deep sequencing data of Pfmsp2 gene.
DOI: 10.6084/m9.figshare.13219212.v1
title: Additional file 2 of 3D - Printed Patient Specific Instrumentation in Corrective Osteotomy of the Femur and Pelvis: A Review of the Literature

description: Additional file 2. Image.
DOI: 10.6084/m9.figshare.13219322.v1
title: Additional file 4 of Effects of habitat modifications on the movement behavior of animals: the case study of Fish Aggregating Devices (FADs) and tropical tunas

description: Additional file 4. Random-walk model.
DOI: 10.6084/m9.figshare.13219322
title: Additional file 4 of Effects of habitat modifications on the movement behavior of animals: the case study of Fish Aggregating Devices (FADs) and tropical tunas

description: Additional file 4. Random-walk model.
DOI: 10.6084/m9.figshare.13219347
title: Additional file 1 of A novel systems biology approach to evaluate mouse models of late-onset Alzheimer’s disease

description: Additional file 1.
DOI: 10.6084/m9.figshare.13219347.v1
title: Additional file 1 of A novel systems biology approach to evaluate mouse models of late-onset Alzheimer’s disease

description: Additional file 1.
DOI: 10.6084/m9.figshare.13219362
title: Additional file 3 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 3 Lactobacillus gasseri differential expression.
DOI: 10.6084/m9.figshare.13219365.v1
title: Additional file 4 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 4 Lactobacillus jensenii differential expression.
DOI: 10.6084/m9.figshare.13219365
title: Additional file 4 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 4 Lactobacillus jensenii differential expression.
DOI: 10.6084/m9.figshare.13219371.v1
title: Additional file 6 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 6 Lactobacillus fermentum differential expression.
DOI: 10.6084/m9.figshare.13219380.v1
title: Additional file 2 of Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer’s disease created by integrative analysis of multi-omics data

description: Additional file 2: Supplementary Table S2. Gene expression in 610 blood samples.
DOI: 10.6084/m9.figshare.13219374
title: Additional file 7 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 7 Depth of sequencing coverage across species and timepoints.
DOI: 10.6084/m9.figshare.13219368
title: Additional file 5 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 5 Lactobacillus acidophilus differential expression.
DOI: 10.6084/m9.figshare.13219359
title: Additional file 2 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 2 Lactobacillus crispatus differential expression.
DOI: 10.6084/m9.figshare.13219359.v1
title: Additional file 2 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 2 Lactobacillus crispatus differential expression.
DOI: 10.6084/m9.figshare.13219371
title: Additional file 6 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 6 Lactobacillus fermentum differential expression.
DOI: 10.6084/m9.figshare.13219374.v1
title: Additional file 7 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 7 Depth of sequencing coverage across species and timepoints.
DOI: 10.6084/m9.figshare.13219386
title: Additional file 3 of Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer’s disease created by integrative analysis of multi-omics data

description: Additional file 3: Supplementary Table S3. Gene expression in 123 MCI blood samples.
DOI: 10.6084/m9.figshare.13219362.v1
title: Additional file 3 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 3 Lactobacillus gasseri differential expression.
DOI: 10.6084/m9.figshare.13219386.v1
title: Additional file 3 of Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer’s disease created by integrative analysis of multi-omics data

description: Additional file 3: Supplementary Table S3. Gene expression in 123 MCI blood samples.
DOI: 10.6084/m9.figshare.13219368.v1
title: Additional file 5 of Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid

description: Additional file 5 Lactobacillus acidophilus differential expression.
DOI: 10.6084/m9.figshare.13219380
title: Additional file 2 of Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer’s disease created by integrative analysis of multi-omics data

description: Additional file 2: Supplementary Table S2. Gene expression in 610 blood samples.
DOI: 10.6084/m9.figshare.13219403.v1
title: Additional file 6 of Genome-wide survey of sucrose non-fermenting 1-related protein kinase 2 in Rosaceae and expression analysis of PbrSnRK2 in response to ABA stress

description: Additional file 6: Table S3. Primers used in this study.
DOI: 10.6084/m9.figshare.13219394.v1
title: Additional file 4 of Genome-wide survey of sucrose non-fermenting 1-related protein kinase 2 in Rosaceae and expression analysis of PbrSnRK2 in response to ABA stress

description: Additional file 4: Table S1. Sequence identity of protein sequences between PbrSnRK2s and AtSnRK2s based on pairwise comparison.
DOI: 10.6084/m9.figshare.13219400
title: Additional file 5 of Genome-wide survey of sucrose non-fermenting 1-related protein kinase 2 in Rosaceae and expression analysis of PbrSnRK2 in response to ABA stress

description: Additional file 5: Table S2. Number of SnRK2 genes from different origins in eight Rosaceae genomes.
DOI: 10.6084/m9.figshare.13219394
title: Additional file 4 of Genome-wide survey of sucrose non-fermenting 1-related protein kinase 2 in Rosaceae and expression analysis of PbrSnRK2 in response to ABA stress

description: Additional file 4: Table S1. Sequence identity of protein sequences between PbrSnRK2s and AtSnRK2s based on pairwise comparison.
DOI: 10.6084/m9.figshare.13219400.v1
title: Additional file 5 of Genome-wide survey of sucrose non-fermenting 1-related protein kinase 2 in Rosaceae and expression analysis of PbrSnRK2 in response to ABA stress

description: Additional file 5: Table S2. Number of SnRK2 genes from different origins in eight Rosaceae genomes.
DOI: 10.6084/m9.figshare.13219412.v1
title: Additional file 1 of Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomes

description: Additional file 1: Characterization of the 5446 mismatch errors associated with gene mispredictions.
DOI: 10.6084/m9.figshare.13219403
title: Additional file 6 of Genome-wide survey of sucrose non-fermenting 1-related protein kinase 2 in Rosaceae and expression analysis of PbrSnRK2 in response to ABA stress

description: Additional file 6: Table S3. Primers used in this study.
DOI: 10.6084/m9.figshare.13219412
title: Additional file 1 of Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomes

description: Additional file 1: Characterization of the 5446 mismatch errors associated with gene mispredictions.
DOI: 10.6084/m9.figshare.13219466
title: Additional file 1 of Protrudin-deficient mice manifest depression-like behavior with abnormalities in activity, attention, and cued fear-conditioning

description: Additional file 1: Table S1. Statistical analysis of behavioral data in PRT knockout
DOI: 10.6084/m9.figshare.13219466.v1
title: Additional file 1 of Protrudin-deficient mice manifest depression-like behavior with abnormalities in activity, attention, and cued fear-conditioning

description: Additional file 1: Table S1. Statistical analysis of behavioral data in PRT knockout
DOI: 10.6084/m9.figshare.13219485.v1
title: Additional file 1 of Tuberculosis caused by Mycobacterium caprae in a camel (Camelus dromedarius)

description: Additional file 1.
DOI: 10.6084/m9.figshare.13219499.v1
title: Additional file 4 of A small-molecule screen reveals novel modulators of MeCP2 and X-chromosome inactivation maintenance

description: Additional file 4: Supplementary Table 2. This tables shows tall the drugs used in this screen and the % of luciferase reactivation per drug (normalized values).
DOI: 10.6084/m9.figshare.13219485
title: Additional file 1 of Tuberculosis caused by Mycobacterium caprae in a camel (Camelus dromedarius)

description: Additional file 1.
DOI: 10.6084/m9.figshare.13219499
title: Additional file 4 of A small-molecule screen reveals novel modulators of MeCP2 and X-chromosome inactivation maintenance

description: Additional file 4: Supplementary Table 2. This tables shows tall the drugs used in this screen and the % of luciferase reactivation per drug (normalized values).
DOI: 10.5281/zenodo.4265803
title: Experimental Study on Wave–Ice Interaction using Freely Floating Synthetic Ice Floes

description: Experimental data See manuscript below for further details: Experimental Study on Wave–Ice Interaction using Freely Floating Synthetic Ice Floes (in review)
DOI: 10.5281/zenodo.4265788
title: Experimental Study on Wave–Ice Interaction using Freely Floating Synthetic Ice Floes

description: Experimental data See manuscript below for further details: Experimental Study on Wave–Ice Interaction using Freely Floating Synthetic Ice Floes (in review)
DOI: 10.6084/m9.figshare.13185641.v1
title: Reaction a MEP

description: The minimum energy path (MEP) of reaction #a in the catalytic reaction network of SABRE. It was obtained from electronic structure calculations at PBE+TS level of density functional theory through FHI-aims. <br>Data is in the xyz file format. Each image in the MEP is described as one frame of the xyz file.
DOI: 10.6084/m9.figshare.11918373
title: Improving Reverse Correlation - February 2020 version

description: Research using reverse correlation paradigms has become frequent over the last decade. In this paradigm, participants choose between a large number of image pairs, according to a prompt (e.g., “please choose the face that most resembles a trustworthy face”). The image pairs are generated by imposing random noise on the pixels that make up the image of a base face. The patterns of choices by participants are then used to compute an “average” matrix of noise pixels that, when imposed onto the base face, reflect an underlying shared mental construct of the “face” of the attribute. However, examinations of the reliability and validity of this approach remain rare. In the present paper, we examine the effects of filtering out data from individual participants or trials to increase the signal-to-noise ratio of composite images. We focus on order effects of trials, compliance and reliability effects, as well as the diagnostic quality of image pairs. We present different diagnostic methods to examine these three aspects using data from six reverse correlation studies conducted both in-lab and online with diverse samples (i.e., from Burkina Faso, Germany, and the U.S.) using two different base faces (i.e., Black and White). For each of the six studies, we compare the composite images of the complete sample to composite images that exclude non-complier respondents or non-diagnostic image pairs. Our R scripts are publicly available for easy implementation of our suggestions in related research.
DOI: 10.21227/m1w9-pa52
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related: Coronavirus (COVID-19) Tweets Sentiment Trend (Global), Coronavirus (COVID-19) Tweets Dataset and Tweets Originating from India During COVID-19 Lockdowns 1, 2, 3, 4-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 259,746 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.21227/0j8q-nb57
title: Effect of millet vegetation on path-loss between CC2538 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

description: Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of millet vegetation on path-loss between CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)".This proposal examines the received signal strength through measurement campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for millet crop monitoring from period 03/06/2020 to 04/10/2020.
DOI: 10.21227/qcmp-p177
title: Effect of millet vegetation on path-loss between CC2538 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

description: Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of millet vegetation on path-loss between CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)".This proposal examines the received signal strength through measurement campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for millet crop monitoring from period 03/06/2020 to 04/10/2020.