cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13096208
title: Data set 5 - GAPDH phylogenies

description: The following trees of the GAPDH family allow for a quick comparative analysis between the raw re-assembled transcriptomes on one side and the de-contaminated and consolidated transcriptomes on the other side. They show that the strategy described here resulted in much less redundant and much cleaner sequence data while preserving most of the taxonomic and phylogenetic signals. <br><br><b>- GAPDH-MMETSP570-IQTREE-LG4X.pdf:</b>GAPDH gene tree enriched with raw photosynthetic transcriptomes (n=570) computed with IQ-TREE (-m LG4X).<br><b>- GAPDH-MMETSP172-IQTREE-LG4X.pdf:</b>GAPDH gene tree enriched with the decontaminated and consolidated photosynthetic transcriptomes (n=172) computed with IQ-TREE (-m LG4X).<br><br><b>- GAPDH-phylogenies-methods.pdf:</b>Methodology description for the two GAPDH phylogenies.<br><br><b>- set_1.txt<br></b>List of 570 photosynthetic samples.<br><b>- set_2.txt<br></b>List of 172 photosynthetic consolidated transcriptomes.<br><b></b><br><br>
DOI: 10.6084/m9.figshare.13096208.v2
title: Data set 5 - GAPDH phylogenies

description: The following trees of the GAPDH family allow for a quick comparative analysis between the raw re-assembled transcriptomes on one side and the de-contaminated and consolidated transcriptomes on the other side. They show that the strategy described here resulted in much less redundant and much cleaner sequence data while preserving most of the taxonomic and phylogenetic signals. <br><br><b>- GAPDH-MMETSP570-IQTREE-LG4X.pdf:</b>GAPDH gene tree enriched with raw photosynthetic transcriptomes (n=570) computed with IQ-TREE (-m LG4X).<br><b>- GAPDH-MMETSP172-IQTREE-LG4X.pdf:</b>GAPDH gene tree enriched with the decontaminated and consolidated photosynthetic transcriptomes (n=172) computed with IQ-TREE (-m LG4X).<br><br><b>- GAPDH-phylogenies-methods.pdf:</b>Methodology description for the two GAPDH phylogenies.<br><br><b>- set_1.txt<br></b>List of 570 photosynthetic samples.<br><b>- set_2.txt<br></b>List of 172 photosynthetic consolidated transcriptomes.<br><b></b><br><br>
DOI: 10.6084/m9.figshare.13096208.v1
title: Data set 5 - GAPDH phylogenies

description: The following trees of the GAPDH family allow for a quick comparative analysis between the raw re-assembled transcriptomes on one side and the de-contaminated and consolidated transcriptomes on the other side. They show that the strategy described here resulted in much less redundant and much cleaner sequence data while preserving most of the taxonomic and phylogenetic signals. <br><br><b>- GAPDH-MMETSP570-IQTREE-LG4X.pdf:</b>GAPDH gene tree enriched with raw photosynthetic transcriptomes (n=570) computed with IQ-TREE (-m LG4X).<br><b>- GAPDH-MMETSP172-IQTREE-LG4X.pdf:</b>GAPDH gene tree enriched with the decontaminated and consolidated photosynthetic transcriptomes (n=172) computed with IQ-TREE (-m LG4X).<br><br><b>- Data_set_5-Methods.pdf:</b>Methodology description for the two GAPDH phylogenies.<br>
DOI: 10.6084/m9.figshare.12213731.v1
title: Data file 2 - Redundancy drop analysis

description: Taxonomic redundancy reduction after consolidation.<br>
DOI: 10.15784/601448
title: Layer and Thinning based Accumulation Rate Reconstructions

description: This data set contains the accumulation rates based on layer thicknesses and thinning in the supplement of Buizert et al., 2021.
DOI: 10.5281/zenodo.4900046
title: Relative advantages and compatibility of a biometric patient identification tool in Zambia: a qualitative analysis, Underlying Data

description: <strong>FGDTranscripts</strong> This document includes the following transcripts in order: FDGs 1-3 in Kalomo and FDGs 1-7 in Chawama. A total of ten focus group discussions, which included a total of 60 participants, were conducted in both urban and rural settings of Zambia in February 2020. Focus group discussion transcripts discuss experience with biometrics, experiences with the existing Under-Five Card system, and impressions/experiences related to the novel biometric tool. <strong>KeyInformantInterviewTranscripts</strong> This document includes the following transcripts in order: Interview with Clinician in Kalomo, Interview with Nurse in Charge in Kalomo, Interview with District Health Officer in Kalomo, Interview with Information Officer in Kalomo, Interview with Railways Clinic Clinician in Lusaka, Interview with Nursing Officer in Chawama, Interview with Nurse In Charge at Railways Clinic in Lusaka. A total of 7 key informant interviews were conducted in February 2020 in both rural and urban settings of Zambia. Interview Transcripts discuss experience with biometrics, experiences with the existing Under-Five Card system, and impressions, experiences, and application of to the novel biometric tool. <strong>UFC Condition</strong> This excel file contains the raw data gathered on the condition of Under-Five Cards over time. Conditions were reported at the following timepoints: 6 days, 6 weeks, 10 weeks, 14 weeks, 4 months, 5 months, and 6 months. The following observations were made about the cards: cracked, faded, crinkled, crinkled, stained, and like new. One of the aforementioned conditions was categorized as minor damage, 2 conditions categorized as moderate damage, and 3 or more conditions were categorized as extreme damage. At 6 months, more than 70% of the cards were reported as having moderate or extreme damage.
DOI: 10.5281/zenodo.4900045
title: Relative advantages and compatibility of a biometric patient identification tool in Zambia: a qualitative analysis, Underlying Data

description: <strong>FGDTranscripts</strong> This document includes the following transcripts in order: FDGs 1-3 in Kalomo and FDGs 1-7 in Chawama. A total of ten focus group discussions, which included a total of 60 participants, were conducted in both urban and rural settings of Zambia in February 2020. Focus group discussion transcripts discuss experience with biometrics, experiences with the existing Under-Five Card system, and impressions/experiences related to the novel biometric tool. <strong>KeyInformantInterviewTranscripts</strong> This document includes the following transcripts in order: Interview with Clinician in Kalomo, Interview with Nurse in Charge in Kalomo, Interview with District Health Officer in Kalomo, Interview with Information Officer in Kalomo, Interview with Railways Clinic Clinician in Lusaka, Interview with Nursing Officer in Chawama, Interview with Nurse In Charge at Railways Clinic in Lusaka. A total of 7 key informant interviews were conducted in February 2020 in both rural and urban settings of Zambia. Interview Transcripts discuss experience with biometrics, experiences with the existing Under-Five Card system, and impressions, experiences, and application of to the novel biometric tool. <strong>UFC Condition</strong> This excel file contains the raw data gathered on the condition of Under-Five Cards over time. Conditions were reported at the following timepoints: 6 days, 6 weeks, 10 weeks, 14 weeks, 4 months, 5 months, and 6 months. The following observations were made about the cards: cracked, faded, crinkled, crinkled, stained, and like new. One of the aforementioned conditions was categorized as minor damage, 2 conditions categorized as moderate damage, and 3 or more conditions were categorized as extreme damage. At 6 months, more than 70% of the cards were reported as having moderate or extreme damage.
DOI: 10.5517/ccdc.csd.cc10mf13
title: CCDC 942184: Experimental Crystal Structure Determination

description: Related Article: Jie Li, Shu-fang Tian|2013|Huaxue Yanjiu|24|459|
DOI: 10.5517/ccdc.csd.cc1z2m8y
title: CCDC 1819770: Experimental Crystal Structure Determination

description: Related Article: Jian-Zhong Jin, Na-Bo Sun|2013|J.Chem.Soc.Pak.|35|956|
DOI: 10.6084/m9.figshare.14731278
title: Organic Amendments Alter Soil Hydrology and Belowground Microbiome of Tomato (Solanum lycopersicum)

description: Representative sequences, ESV tables, and related metadata from 16S and ITS amplicon sequencing of the bulk soil, rhizosphere soil, rhizoplane, and endorhizosphere of tomato during physiological development in soil amended with varied manure based organic materials.<br>
DOI: 10.6084/m9.figshare.14731278.v1
title: Organic Amendments Alter Soil Hydrology and Belowground Microbiome of Tomato (Solanum lycopersicum)

description: Representative sequences, ESV tables, and related metadata from 16S and ITS amplicon sequencing of the bulk soil, rhizosphere soil, rhizoplane, and endorhizosphere of tomato during physiological development in soil amended with varied manure based organic materials.<br>
DOI: 10.5281/zenodo.4892328
title: Origin of the co-seismic variations of elastic properties in the crust: insight from the laboratory

description: Raw data used for the study of the origin of co-seismic variations of elastic properties in the crust through laboratory experiments.
DOI: 10.5281/zenodo.4892327
title: Origin of the co-seismic variations of elastic properties in the crust: insight from the laboratory

description: Raw data used for the study of the origin of co-seismic variations of elastic properties in the crust through laboratory experiments.
DOI: 10.6084/m9.figshare.14732106.v1
title: MSMS_example_data

description: MSMS: a novel approach for microbial strain genome reconstruction in multiple samples
DOI: 10.6084/m9.figshare.14732106
title: MSMS_example_data

description: MSMS: a novel approach for microbial strain genome reconstruction in multiple samples
DOI: 10.5066/p9f49t41
title: Geologic provinces encompassing northern Afghanistan, 2006 (prvafg.shp)

description: This shapefile includes polygons that describe U.S. Geological Survey defined geologic provinces that encompass northern Afghanistan.
DOI: 10.5281/zenodo.4899767
title: MOAP Horizon 2020 database

description: The MOAP Horizon 2020 database was created under the auspices of the Study “Monitoring the Open Access Policy of Horizon 2020” (SPECIFIC CONTRACT No RTD/2019/SC/021 implementing Framework contract No 2018/RTD/A2/OP/PP-07001-2018). This dataset contains data from OpenAIRE and European Commission related to Horizon 2020 funded publications and datasets, and the results of the processing for the MOAP study.
description: The study was funded by "Monitoring the Open Access Policy of Horizon 2020" (SPECIFIC CONTRACT No RTD/2019/SC/021 implementing Framework contract No 2018/RTD/A2/OP/PP-07001-2018)
DOI: 10.5281/zenodo.4899766
title: MOAP Horizon 2020 database

description: The MOAP Horizon 2020 database was created under the auspices of the Study “Monitoring the Open Access Policy of Horizon 2020” (SPECIFIC CONTRACT No RTD/2019/SC/021 implementing Framework contract No 2018/RTD/A2/OP/PP-07001-2018). This dataset contains data from OpenAIRE and European Commission related to Horizon 2020 funded publications and datasets, and the results of the processing for the MOAP study.
description: The study was funded by "Monitoring the Open Access Policy of Horizon 2020" (SPECIFIC CONTRACT No RTD/2019/SC/021 implementing Framework contract No 2018/RTD/A2/OP/PP-07001-2018)
DOI: 10.7298/vrd4-4k23
title: Data from: Estimating agronomically relevant symbiotic N fixation in green manure breeding programs
DOI: 10.5517/ccdc.csd.cc1250y6
title: CCDC 987937: Experimental Crystal Structure Determination

description: Related Article: Suyi Liu, Jianjuan Wang, Pengtao Ma|2014|Huaxue Yanjiu|25|229|
DOI: 10.5517/ccdc.csd.cc1z7md7
title: CCDC 1824579: Experimental Crystal Structure Determination

description: Related Article: Yun Zhang, Bin Zhao, Aidong Tan, Shaochun Huang, Li Liu|2014|Guangdong Huagong|41|5|
DOI: 10.5517/ccdc.csd.cc1z7mf8
title: CCDC 1824580: Experimental Crystal Structure Determination

description: Related Article: Yanling Wu,  Zhixu Zhang,  Donghong You,  linlu Zheng,  Honglu Xie,  Huanglong Zhuang|2014|Guangdong Huagong|41|43|
DOI: 10.6084/m9.figshare.14730330
title: H3K27me3 P8_sham rep1 mm10

description: For UCSC
DOI: 10.6084/m9.figshare.14730330.v2
title: H3K27me3 P8_sham rep1 mm10

description: For UCSC
DOI: 10.6084/m9.figshare.14730330.v1
title: H3K27me3 P8_sham rep1 mm10

description: For UCSC
DOI: 10.15468/ebznns
title: Eremophygus bicolor (Gutiérrez) (Coleoptera: Scarabaeidae: Rutelinae: Rutelini): A New Tribal And Generic Placement For The Bolivian Scarab Platycoelia Bicolor (Gutiérrez) (Anoplognathini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Smith, Andrew B. T., Jameson, Mary Liz (2001): Eremophygus bicolor (Gutiérrez) (Coleoptera: Scarabaeidae: Rutelinae: Rutelini): A New Tribal And Generic Placement For The Bolivian Scarab Platycoelia Bicolor (Gutiérrez) (Anoplognathini). The Coleopterists Bulletin 55 (1): 103-106, DOI: 10.1649/0010-065x(2001)055[0103:ebgrcs]2.0.co;2
DOI: 10.5517/ccdc.csd.cc105ptp
title: CCDC 929002: Experimental Crystal Structure Determination

description: Related Article: Tian Zhang, yue Wang, Yao Liu, Jiu-fu Lu|2014|Zhejiang Huagong|45|21|
DOI: 10.5517/ccdc.csd.cc11f7rg
title: CCDC 966045: Experimental Crystal Structure Determination

description: Related Article: Jing Tian, Zhi Xue, Hua-feng Luo|2014|Sichuan Dax.Xuebao,Zir.Kex.|51|1255|
DOI: 10.5517/ccdc.csd.cc125lxr
title: CCDC 988494: Experimental Crystal Structure Determination

description: Related Article: Xiao-xiao He, Ya-mei Guo|2014|Huaxue Yu Shengwu Gongcheng|31|32|
DOI: 10.5281/zenodo.4629716
title: IHTAclassroom. Multi-detailed 3D architecture model for sound perception research in Virtual Reality

description: <strong>IHTAclassroom – Multi-detailed 3D architecture model</strong> This dataset describes visual and acoustic 3D architectural models of lecture classroom at the IHTA. Institute of Hearing Technology and Acoustics (IHTA), RWTH Aachen, 52056 Aachen, Germany As used in the publication: [1] Llorca-Bofí, J. and Vorländer, M. (2021). Multi-Detailed 3D Architectural Framework for Sound Perception Research in Virtual Reality. Front. Built Environ. 7:687237.doi: https://doi.org/10.3389/fbuil.2021.687237 Video: https://www.youtube.com/watch?v=vZaeYA6q-8U Files are stored in FBX format for geometry, JPEG format for visual textures. <strong>Dataset [RawModelData]</strong> Data is available separately for each definition, and for each visual and acoustic cue. The level of detail for each definition is shown here: Visual cues Geometries HighLOD Materials HighLOD Light sources HighLOD MediumLOD Acoustic cues Geometries HighLOD The current version of the model includes only the modules used for the description of the referenced paper. The authors reserve the right to complete other levels of detail if future applications require them. <strong>Scenario [IHTAclassroom_UnrealEngine]</strong> An additional data file contains a unique file in [IHTAclassroom_UnrealEngine] Unreal Engine format, with the set up scenario. The instructions to open the final scenario are described here: Download the [IHTAclassroom_UnrealEgine] file, and save it in your working space. Extract the content of the [IHTAclassroom_UnrealEngine]. The folder naming and arrangement are prepared for the scenario. Run the .uproject file. Open a <strong>Content Browser</strong> tab to navigate through the folder hierarchy. You can open the <strong>Content Browser</strong> under the tabs <strong>Window &gt; Content Browser</strong> Open the IHTAclassroom map under the folder <strong>Content &gt; Maps</strong> by double clicking on it. The scenario will be visible in the <strong>Viewport 2</strong> tab. Go to <strong>Window &gt; Viewports &gt; Viewport 2</strong> to open it. Press key <strong>G</strong> to hide or unhide the helpers and editor actors. Press keys <strong>1</strong>, <strong>2</strong>, <strong>3</strong>… <strong>9</strong> to jump into different camera positions Drag the mouse while pressing right click to rotate the viewer direction While pressing right click, press key <strong>W</strong> to navigate through the scenario.
DOI: 10.5281/zenodo.4629715
title: IHTAclassroom. Multi-detailed 3D architecture model for sound perception research in Virtual Reality

description: <strong>IHTAclassroom – Multi-detailed 3D architecture model</strong> This dataset describes visual and acoustic 3D architectural models of lecture classroom at the IHTA. Institute of Hearing Technology and Acoustics (IHTA), RWTH Aachen, 52056 Aachen, Germany As used in the publication: [1] Llorca-Bofí, J. and Vorländer, M. (2021). Multi-Detailed 3D Architectural Framework for Sound Perception Research in Virtual Reality. Front. Built Environ. 7:687237.doi: https://doi.org/10.3389/fbuil.2021.687237 Video: https://www.youtube.com/watch?v=vZaeYA6q-8U Files are stored in FBX format for geometry, JPEG format for visual textures. <strong>Dataset [RawModelData]</strong> Data is available separately for each definition, and for each visual and acoustic cue. The level of detail for each definition is shown here: Visual cues Geometries HighLOD Materials HighLOD Light sources HighLOD MediumLOD Acoustic cues Geometries HighLOD The current version of the model includes only the modules used for the description of the referenced paper. The authors reserve the right to complete other levels of detail if future applications require them. <strong>Scenario [IHTAclassroom_UnrealEngine]</strong> An additional data file contains a unique file in [IHTAclassroom_UnrealEngine] Unreal Engine format, with the set up scenario. The instructions to open the final scenario are described here: Download the [IHTAclassroom_UnrealEgine] file, and save it in your working space. Extract the content of the [IHTAclassroom_UnrealEngine]. The folder naming and arrangement are prepared for the scenario. Run the .uproject file. Open a <strong>Content Browser</strong> tab to navigate through the folder hierarchy. You can open the <strong>Content Browser</strong> under the tabs <strong>Window &gt; Content Browser</strong> Open the IHTAclassroom map under the folder <strong>Content &gt; Maps</strong> by double clicking on it. The scenario will be visible in the <strong>Viewport 2</strong> tab. Go to <strong>Window &gt; Viewports &gt; Viewport 2</strong> to open it. Press key <strong>G</strong> to hide or unhide the helpers and editor actors. Press keys <strong>1</strong>, <strong>2</strong>, <strong>3</strong>… <strong>9</strong> to jump into different camera positions Drag the mouse while pressing right click to rotate the viewer direction While pressing right click, press key <strong>W</strong> to navigate through the scenario.
DOI: 10.21227/10k4-3p31
title: Dermoscopic Dataset from the International Skin Imaging Collaboration (ISIC) Project

description: The dermoscopic images considered in the paper"Dermoscopic Image Classification with Neural Style Transfer"are available for public download through the ISIC database (https://www.isic-archive.com/#!/topWithHeader/wideContentTop/main). These are 24-bit JPEG images with a typical resolution of 768 × 512 pixels. However, not all the images in the database are in satisfactory condition. Therefore, we constructed a high-quality, balanced dataset of 1000 images (500 malignant and 500 benign) by omitting the images that satisfy any of the following conditions: (a) the entirety of the tumor does not fit within the image frame, (b) an abundance of hair which blocks a significant portion of the lesion, (c) are duplicated or augmented versions of other images. This data cleaning is necessary in order to ensure accurate border detection, reliable feature extraction, a fair comparison of classification performances, and satisfactory quality control for the style-transferred images without the interference of non-lesion information. The images are resized to 224 x 224 pixels using bilinear interpolation to reduce the computation cost of our analysis. The lesion segmentation mask for each image, trained using U-net on the PH2 dataset (https://www.fc.up.pt/addi/ph2 database.html) is also provided.This paper also considered both the ISIC 2016 and ISIC 2017 competitions on skin lesion classification. They are both available for download at https://challenge.isic-archive.com/data.
DOI: 10.6084/m9.figshare.14735972
title: Covid19RelatedTweets

description: This dataset is a sample of COVID-19 related tweets from 23 March 2020 to 26 March 2020.
DOI: 10.6084/m9.figshare.14735972.v1
title: Covid19RelatedTweets

description: This dataset is a sample of COVID-19 related tweets from 23 March 2020 to 26 March 2020.
DOI: 10.5517/ccdc.csd.ccxq873
title: CCDC 855545: Experimental Crystal Structure Determination

description: Related Article: Zhao-Yin Zhong, Lili Su, Yan Jiang, Suoyi Huang, Kou-Lin Zhang|2015|Guangdong Huagong|42|59|
DOI: 10.5517/ccdc.csd.cc12f48x
title: CCDC 995728: Experimental Crystal Structure Determination

description: Related Article: Caiyun Shao, Mengyan Liu, Chen Lian, Lice Wang, Zhenhuan Xu, Xu Guo, Yinshuang Long, Yunxia Lu, Lirong Yang|2015|Huaxue Yanjiu|26|467|
DOI: 10.5517/ccdc.csd.ccv37kq
title: CCDC 777683: Experimental Crystal Structure Determination

description: Related Article: Feng-yuan Zhang, Hui-liang Zhou|2015|Huaxue Yanjiu Yu Yingyong|27|1390|
DOI: 10.5517/cc140l6y
title: CCDC 1043249: Experimental Crystal Structure Determination

description: Related Article: Baohua Zheng|2015|CSD Communication|||
description: Related Article: Bo A, Boa-Hua Zheng, Xue-Na Hao, Xue-Na, Tuo-Ping Hu|2015|Guangzhou Huagong|43|3|
DOI: 10.5517/ccdc.csd.cc14fh79
title: CCDC 1055650: Experimental Crystal Structure Determination

description: Related Article: Guang Fan, Zhang-ying Ma, Ling-juan Deng, Xiao-bo Li, Yin-li Zhang|2015|Huaxue Yanjiu Yu Yingyong|27|1332|
DOI: 10.5517/ccdc.csd.cc202cwc
title: CCDC 1849332: Experimental Crystal Structure Determination

description: Related Article: Hongliang Jia|2015|Guangdong Huagong|42|98|
DOI: 10.5281/zenodo.2644259
title: tox practice

description: tox practice
DOI: 10.5281/zenodo.2644258
title: tox practice

description: tox practice
DOI: 10.5281/zenodo.4898333
title: Patterns of gene content and co-occurrence constrain the evolutionary path toward animal association in CPR bacteria

description: Subset of Candidate Phyla Radiation (CPR) genomes associated with Jaffe et al. 2021 ("<strong>Patterns of gene content and co-occurrence constrain the evolutionary path toward animal association in CPR bacteria") </strong>in FASTA format and supplementary materials/files.
DOI: 10.5281/zenodo.4560554
title: Patterns of gene content and co-occurrence constrain the evolutionary path toward animal association in CPR bacteria

description: Subset of Candidate Phyla Radiation (CPR) genomes associated with Jaffe et al. 2021 ("<strong>Patterns of gene content and co-occurrence constrain the evolutionary path toward animal association in CPR bacteria") </strong>in FASTA format and supplementary materials/files.
DOI: 10.6084/m9.figshare.14706267
title: Proposal CSV files for rxnebm: improving the performance of models for one-step retrosynthesis through re-ranking

description: Proposal CSV files for each of the 4 one-step models: RetroSim, GLN, NeuralSym and RetroXpert, as well as the union of RetroSim and GLN. Contains proposals corresponding to 3 separate seeds for each one-step model.
DOI: 10.5281/zenodo.4900670
title: Priming in aquatic ecosystems database

description: Priming-Meta-analysis This database has been created by Lucia Fernandes Sanches in 2020 and is associated to a paper submitted to JGR: Biogeosciences called "Exploring the drivers controlling the priming effect and its magnitude in aquatic systems" by Lúcia Fernandes Sanches, Bertrand Guenet, Nicholas dos Anjos Cristiano Marino and Francisco de Assis Esteves. Requests have to be send to sanches1983(@)gmail.com and bertrand.guenet(@)ens.fr