cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16786513.v1
title: Trained Materials Discovery Python Class

description: Trained materials discovery Python class (Discover()). Load via:```pythonimport picklewith open("disc.pkl", "rb") as f: disc = pickle.load(f)```To see the attributes of the Discover() class:```pythondir(disc)```
DOI: 10.5281/zenodo.5570921
title: Whistler segmentation training dataset

description: Generated whistlers with pixel-segmented separate masks for each trace. File naming:<br> - train_images.tar.gz contains all the train images (&gt;10 GB)<br> - example_images.zip contains 5 spectrograms and the corresponding segmentation masks. (~5 MB))<br> - {id}_rothera_{n}_y.png, {id}_rothera_x.png, where {id} is a unique ID to match the masks and the spectrogram image, {n} enumerates the whistler traces within a spectrogram. Files ending _y.png are the bitmask images, while the _x.png files are the spectrograms. Opening the bitmasks in a regular image viewer might show only a black image. In this case, opening as a matrix (eg via matplotlib or opencv in python), converting to binary values, and visualizing them can help. To be updated upon acceptance of our research paper.
DOI: 10.5281/zenodo.5570920
title: Whistler segmentation training dataset

description: Generated whistlers with pixel-segmented separate masks for each trace. File naming:<br> - train_images.tar.gz contains all the train images (&gt;10 GB)<br> - example_images.zip contains 5 spectrograms and the corresponding segmentation masks. (~5 MB))<br> - {id}_rothera_{n}_y.png, {id}_rothera_x.png, where {id} is a unique ID to match the masks and the spectrogram image, {n} enumerates the whistler traces within a spectrogram. Files ending _y.png are the bitmask images, while the _x.png files are the spectrograms. Opening the bitmasks in a regular image viewer might show only a black image. In this case, opening as a matrix (eg via matplotlib or opencv in python), converting to binary values, and visualizing them can help. To be updated upon acceptance of our research paper.
DOI: 10.5517/ccdc.csd.cc26wlh6
title: CCDC 2052308: Experimental Crystal Structure Determination

description: Related Article: Ryo Sumitani, Tomoyuki Mochida|2021|J.Mol.Liq.|344|117784|doi:10.1016/j.molliq.2021.117784
DOI: 10.6084/m9.figshare.16823629.v7
title: Virus name: hCoV-19/USA/NJ-NYGC-S-RM-7299-KKOC434/2021 analyzed with OC43/USA/VR759/2019

description: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19) and the prevalence of Virus name: hCoV-19/USA/NJ-NYGC-S-RM-7299-KKOC434/2021 analyzed with OC43/USA/VR759/2019
DOI: 10.21227/jvch-0g88
title: Dataset for the publication "Robotic Elytra: Insect-inspired Protective Wings for Resilient and Multi-modal Drones"

description: Data and simulation, accompanying the publication "Robotic Elytra: Insect-inspired Protective Wings for Resilient and Multi-modal Drones".
DOI: 10.6084/m9.figshare.4832612
title: PERU MIGRANT Study | Baseline and 5yr follow-up dataset

description: This is an update of a prior dataset publication containing baseline and 5-year follow-up data from the <b>PERU MIGRANT Study </b>(PEru's Rural to Urban MIGRANTs Study).<br>The <b>PERU MIGRANT Study</b> was designed to investigate the magnitude of differences between rural-to-urban migrant and non-migrant groups in specific cardiovascular risk factors. Three groups were selected: i) Rural, people who have always have lived in a rural environment; ii) Rural-urban, people who migrated from rural to urban areas; and, iii) Urban, people who have always lived in a urban environment.<br><b>PERU MIGRANT Study protocol, instruments and variables</b> are described in full in:<br>Miranda JJ, Gilman RH, García HH, Smeeth L. The effect on cardiovascular risk factors of migration from rural to urban areas in Peru: PERU MIGRANT Study. <i>BMC Cardiovasc Disord</i> 2009;9:23. <br><b>PERU MIGRANT Study baseline dataset</b> is available at:https://figshare.com/articles/PERU_MIGRANT_Study_Baseline_dataset/3125005<br><br><b>Main findings of the baseline study</b>:Miranda JJ, Gilman RH, Smeeth L. Differences in cardiovascular risk factors in rural, urban and rural-to-urban migrants in Peru. <i>Heart</i> 2011;97(10):787-96. <br><b>Main findings of the 5-yr follow-up study</b>: Carrillo-Larco RM, Bernabé-Ortiz A, Pillay TD, Gilman RH, Sanchez JF, Poterico JA, Quispe R, Smeeth L, Miranda JJ. Obesity risk in rural, urban and rural-to-urban migrants: prospective results of the PERU MIGRANT study. <i>Int J Obes (Lond)</i> 2016;40(1):181-5. <br>Bernabe-Ortiz A, Sanchez JF, Carrillo-Larco RM, Gilman RH, Poterico JA, Quispe R, Smeeth L, Miranda JJ. Rural-to-urban migration and risk of hypertension: longitudinal results of the PERU MIGRANT study. <i>J Hum Hypertens</i> 2017;31(1):22-28. <br>Lazo-Porras M, Bernabe-Ortiz A, Málaga G, Gilman RH, Acuña-Villaorduña A, Cardenas-Montero D, Smeeth L, Miranda JJ. Low HDL cholesterol as a cardiovascular risk factor in rural, urban, and rural-urban migrants: PERU MIGRANT cohort study. <i>Atherosclerosis</i> 2016;246:36-43.<br><br>Burroughs Pena MS, Bernabé-Ortiz A, Carrillo-Larco RM, Sánchez JF, Quispe R, Pillay TD, Málaga G, Gilman RH, Smeeth L, Miranda JJ. Migration, urbanisation and mortality: 5-year longitudinal analysis of the PERU MIGRANT study. <i>J Epidemiol Community Health</i> 2015;69(7):715-8.
DOI: 10.6084/m9.figshare.3125005
title: PERU MIGRANT Study | Baseline dataset

description: The <b>PERU MIGRANT Study</b> (PEru's Rural to Urban MIGRANTs Study) was designed to investigate the magnitude of differences between rural-to-urban migrant and non-migrant groups in specific cardiovascular risk factors. Three groups were selected: i) Rural, people who have always have lived in a rural environment; ii) Rural-urban, people who migrated from rural to urban areas; and, iii) Urban, people who have always lived in a urban environment.The <b>PERU MIGRANT Study protocol, instruments and variables</b> are described in full in:Miranda JJ, Gilman RH, García HH, Smeeth L. The effect on cardiovascular risk factors of migration from rural to urban areas in Peru: PERU MIGRANT Study. <i>BMC Cardiovasc Disord</i> 2009;9:23. The <b>main findings of the PERU MIGRANT Study</b> are published in:Miranda JJ, Gilman RH, Smeeth L. Differences in cardiovascular risk factors in rural, urban and rural-to-urban migrants in Peru. <i>Heart</i> 2011;97(10):787-96.
DOI: 10.6084/m9.figshare.16852774
title: Ratio of gene expression under oxidative stress and normal state (ON_ratio)

description: Ratio of gene expression under oxidative stress and normal state conditions (ON_ratio) based on meta-analysis.
DOI: 10.5519/qd.1gh38lkb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (674487 records)
DOI: 10.6084/m9.figshare.16852786
title: Results of Verifying the differentially expressed genes obtained by ON_score_5

description: The results of verifying the characteristics of DEGs by OS dataset with ON_score_5. It includes enrichment analysis for the 493 most upregulated genes and the 492 most downregulated genes with ON_score_5, and ON_score_5 for the most ten upregulated and downregulated genes after extraction of annotated genes with GO:0006979 response to oxidative stress.
DOI: 10.6084/m9.figshare.16852789.v1
title: A list of genes in four gene sets, HN_up ON_up, HN_down ON_down, HN_up ON_down, HN_down ON_up

description: A list of genes in four gene sets obtained by comparison of meta-analysis results by oxidative stress and hypoxia.
DOI: 10.6084/m9.figshare.16852789
title: A list of genes in four gene sets, HN_up ON_up, HN_down ON_down, HN_up ON_down, HN_down ON_up

description: A list of genes in four gene sets obtained by comparison of meta-analysis results by oxidative stress and hypoxia.
DOI: 10.17632/4y64n5jnv4.1
title: The E3 ubiquitin ligase DESYNAPSIS1 regulates synapsis and recombination in rice meiosis-Lijun Ren

description: This file provides original photos of western blotting analysis in the paper.
DOI: 10.5281/zenodo.5594661
title: Data set of 1) plant abundance in the herb layer and 2) Shrub and tree composition and structure following forest management along a chronosequence

description: In each site (1200 m²), three circular plots (400 m²) were established (total of 198 plots). Data presented here for 1) plant of the herb layer and 2) shrub and tree are grouped by site (addition of three plots). In the herb layer, total plant species identity and abundance (percentage cover) were sampled in each plot using eight circular micro-plots of 4 m². Data were collected in 2016 and 2017, between June and August. To minimize seasonal variability and allow detection of early spring species, plants (identity and abundance) in the herb layer were measured twice (once in June to early-July, and once in late-July to August). For tree, in each plot, species identity, diameter at breast height (DBH, 1.3 m) and locations of each tree &gt; 9.1 cm DBH were determined. In each plot, species identity and DBH of shrubs and small trees (DBH range: 1.1 to 9.1 cm) were measured in three circular micro-plots of 25 m². Data that were related to the shrub-canopy layer included all trees and shrubs with DBH &gt; 1.1 cm. Here, in each site, forest composition and structure is represented by different combinations of DBH classes (1.1-4 cm, 4-9.1 cm, 9.1-20 cm, 20-35 cm, &gt;35 cm) and species. Plant community composition and abundance were assessed in unmanaged forests (sites of old-growth forest &gt; 100 years, with dominant and co-dominant trees older than 200 years, and no obvious sign of past harvesting), and in even-aged and uneven-aged managed forests along a chronosequence (&lt; 5 years, 15 years, 30 years after forest harvesting).
DOI: 10.5281/zenodo.5594660
title: Data set of 1) plant abundance in the herb layer and 2) Shrub and tree composition and structure following forest management along a chronosequence

description: In each site (1200 m²), three circular plots (400 m²) were established (total of 198 plots). Data presented here for 1) plant of the herb layer and 2) shrub and tree are grouped by site (addition of three plots). In the herb layer, total plant species identity and abundance (percentage cover) were sampled in each plot using eight circular micro-plots of 4 m². Data were collected in 2016 and 2017, between June and August. To minimize seasonal variability and allow detection of early spring species, plants (identity and abundance) in the herb layer were measured twice (once in June to early-July, and once in late-July to August). For tree, in each plot, species identity, diameter at breast height (DBH, 1.3 m) and locations of each tree &gt; 9.1 cm DBH were determined. In each plot, species identity and DBH of shrubs and small trees (DBH range: 1.1 to 9.1 cm) were measured in three circular micro-plots of 25 m². Data that were related to the shrub-canopy layer included all trees and shrubs with DBH &gt; 1.1 cm. Here, in each site, forest composition and structure is represented by different combinations of DBH classes (1.1-4 cm, 4-9.1 cm, 9.1-20 cm, 20-35 cm, &gt;35 cm) and species. Plant community composition and abundance were assessed in unmanaged forests (sites of old-growth forest &gt; 100 years, with dominant and co-dominant trees older than 200 years, and no obvious sign of past harvesting), and in even-aged and uneven-aged managed forests along a chronosequence (&lt; 5 years, 15 years, 30 years after forest harvesting).
DOI: 10.34740/kaggle/dsv/2734777
title: CytoImageNet
DOI: 10.25612/837.0pa2dwxlnlw0
title: Aggregated Data From Select Variables of the TxDOT Public Crash Data Extract (2010-2020)

description: Aggregated data from select variables of the TxDOT Public Crash Data Extract (2010-2020). Contains data aggregated at the H-GAC and county levels (for three counties only).
DOI: 10.5517/ccdc.csd.cc2922zg
title: CCDC 2117175: Experimental Crystal Structure Determination

description: Related Article: Kang Kang, Lei Li, Meiyu Zhang, Xingwang Zhang, Lecheng Lei, Chengliang Xiao|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc29230j
title: CCDC 2117176: Experimental Crystal Structure Determination

description: Related Article: He Zhao|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.16852780
title: Score based on the ratio of gene expression between oxidative stress and normal state conditions (ON_score)

description: Score based on the ratio of gene expression between oxidative stress and normal state conditions (ON_score)
DOI: 10.6084/m9.figshare.16852780.v1
title: Score based on the ratio of gene expression between oxidative stress and normal state conditions (ON_score)

description: Score based on the ratio of gene expression between oxidative stress and normal state conditions (ON_score)
DOI: 10.6084/m9.figshare.16823629.v8
title: Virus name: hCoV-19/USA/NJ-NYGC-S-RM-7299-KKOC434/2021 analyzed with OC43/USA/VR759/2019

description: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19) and the prevalence of Virus name: hCoV-19/USA/NJ-NYGC-S-RM-7299-KKOC434/2021 analyzed with OC43/USA/VR759/2019
DOI: 10.6084/m9.figshare.16778806
title: De novo transcriptomics based identification and characterization of genes involved in spinosad resistance in the egg parasitoid, Trichogramma chilonis Ishii

description: <i>Trichogramma chilonis</i> (Hymenoptera: Trichogrammatidae), an effective egg parasitoid, commonly used as an innundative biocontrol agent for the management of many lepidopteron pests worldwide. However, its biocontrol potential is severely hampered due to application of broad spectrum of insecticides against insect pests on different crops. Therefore, development of an insecticide tolerant <i>T. chilonis </i>would be very useful and compatible with chemical control to manage the insect pests under insecticide stressed conditions especially in Integrated Pest management Programmes. Furthermore such strategy would reduce the pesticide load on the crops and would protect the non target organisms. Therefore, a spinosad (45% SC) resistant <i>T. chilonis</i> was selected by continuously exposing to the spinosad for 35 generations and its dosage mortality and quantification of detoxifying enxymes viz., glutathione S-transferases and cytochrome p-450 monooxygenases was done in comparison with susceptible laboratory strain. Furthermore, the spinosad susceptible and resistance strain of T. chilonis were sequenced using high throughput RNA sequencing with the aim to identify the molecular mechanism associated with spinosad resistance. <i>De novo </i>transcriptome analysis showed 1026 differentially expressed genes including 654 and 332 up and down-regulated genes, respectively in the spinosad resistant strain of <i>T. chilonis</i>. Multiple transcripts were associated with already known insecticide targets including cuticle, oxidative phosphorylation and metabolic process. qRT-PCR analysis of 10 differentially expressed genes confirmed the pattern observed in the transcriptome sequencing expression profiles. These finding provide a valuable resource for future studies into the molecular mechanisms underlying insecticide resistance in biocontrol agents like parasitoids and predators.
DOI: 10.6084/m9.figshare.16778806.v2
title: De novo transcriptomics based identification and characterization of genes involved in spinosad resistance in the egg parasitoid, Trichogramma chilonis Ishii

description: <i>Trichogramma chilonis</i> (Hymenoptera: Trichogrammatidae), an effective egg parasitoid, commonly used as an innundative biocontrol agent for the management of many lepidopteron pests worldwide. However, its biocontrol potential is severely hampered due to application of broad spectrum of insecticides against insect pests on different crops. Therefore, development of an insecticide tolerant <i>T. chilonis </i>would be very useful and compatible with chemical control to manage the insect pests under insecticide stressed conditions especially in Integrated Pest management Programmes. Furthermore such strategy would reduce the pesticide load on the crops and would protect the non target organisms. Therefore, a spinosad (45% SC) resistant <i>T. chilonis</i> was selected by continuously exposing to the spinosad for 35 generations and its dosage mortality and quantification of detoxifying enxymes viz., glutathione S-transferases and cytochrome p-450 monooxygenases was done in comparison with susceptible laboratory strain. Furthermore, the spinosad susceptible and resistance strain of T. chilonis were sequenced using high throughput RNA sequencing with the aim to identify the molecular mechanism associated with spinosad resistance. <i>De novo </i>transcriptome analysis showed 1026 differentially expressed genes including 654 and 332 up and down-regulated genes, respectively in the spinosad resistant strain of <i>T. chilonis</i>. Multiple transcripts were associated with already known insecticide targets including cuticle, oxidative phosphorylation and metabolic process. qRT-PCR analysis of 10 differentially expressed genes confirmed the pattern observed in the transcriptome sequencing expression profiles. These finding provide a valuable resource for future studies into the molecular mechanisms underlying insecticide resistance in biocontrol agents like parasitoids and predators.
DOI: 10.6084/m9.figshare.16778806.v1
title: De novo transcriptomics based identification and characterization of genes involved in spinosad resistance in the egg parasitoid, Trichogramma chilonis Ishii

description: <i>Trichogramma chilonis</i> (Hymenoptera: Trichogrammatidae), an effective egg parasitoid, commonly used as an innundative biocontrol agent for the management of many lepidopteron pests worldwide. However, its biocontrol potential is severely hampered due to application of broad spectrum of insecticides against insect pests on different crops. Therefore, development of an insecticide tolerant <i>T. chilonis </i>would be very useful and compatible with chemical control to manage the insect pests under insecticide stressed conditions especially in Integrated Pest management Programmes. Furthermore such strategy would reduce the pesticide load on the crops and would protect the non target organisms. Therefore, a spinosad (45% SC) resistant <i>T. chilonis</i> was selected by continuously exposing to the spinosad for 35 generations and its dosage mortality and quantification of detoxifying enxymes viz., glutathione S-transferases and cytochrome p-450 monooxygenases was done in comparison with susceptible laboratory strain. Furthermore, the spinosad susceptible and resistance strain of T. chilonis were sequenced using high throughput RNA sequencing with the aim to identify the molecular mechanism associated with spinosad resistance. <i>De novo </i>transcriptome analysis showed 1026 differentially expressed genes including 654 and 332 up and down-regulated genes, respectively in the spinosad resistant strain of <i>T. chilonis</i>. Multiple transcripts were associated with already known insecticide targets including cuticle, oxidative phosphorylation and metabolic process. qRT-PCR analysis of 10 differentially expressed genes confirmed the pattern observed in the transcriptome sequencing expression profiles. These finding provide a valuable resource for future studies into the molecular mechanisms underlying insecticide resistance in biocontrol agents like parasitoids and predators.
DOI: 10.25505/fiz.icsd.cc28llxd
title: CSD 2103254: Experimental Crystal Structure Determination

description: Related Article: Ming Shi, Hongpeng Zhou, Wenming Tian, Bin Yang, Songqiu Yang, Ke-li Han, Rengui Li, Can Li|2021|ICSD Communication|||
DOI: 10.34740/kaggle/dsv/2734928
title: CytoImageNet
DOI: 10.5281/zenodo.5594670
title: Arius madagascariensis decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5594669
title: Arius madagascariensis decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.16823629.v9
title: Virus name: hCoV-19/USA/NJ-NYGC-S-RM-7299-KKOC434/2021

description: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19) and the prevalence of Virus name: hCoV-19/USA/NJ-NYGC-S-RM-7299-KKOC434/2021 analyzed with OC43/USA/VR759/2019 to hCoV-19-like/bat/Yunnan/RaTG13/2013
DOI: 10.5281/zenodo.5594699
title: Cinetodus crassilabris RB0433 ARBOR SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5594698
title: Cinetodus crassilabris RB0433 ARBOR SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.16699156
title: Metagenomic Next-Generation Sequencing Successfully Detects Pulmonary Infectious Pathogens in Children with Hematologic Malignancy

description: Pulmonary infection is a leading cause of mortality in pediatric patients with hematologic malignancy (HM). In clinical settings, pulmonary pathogens are frequently undetectable, and empiric therapies may be costly, ineffective and lead to poor outcomes in this vulnerable population. Metagenomic next-generation sequencing (mNGS) enhances pathogen detection, but data on its application in pediatric patients with HM and pulmonary infections are scarce.
DOI: 10.5281/zenodo.5594708
title: Compressed Datasets for GNUVID

description: Compressed dataset for GNUVID
DOI: 10.5281/zenodo.5112631
title: Compressed Datasets for GNUVID

description: Compressed dataset for GNUVID
DOI: 10.6084/m9.figshare.16823629.v10
title: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19)

description: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19) and the prevalence of Virus name: hCoV-19/USA/NJ-NYGC-S-RM-7299-KKOC434/2021 analyzed with OC43/USA/VR759/2019 to hCoV-19-like/bat/Yunnan/RaTG13/2013
DOI: 10.6084/m9.figshare.16823629.v12
title: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19)

description: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19) and the prevalence of Virus name: hCoV-19/USA/NJ-NYGC-S-RM-7299-KKOC434/2021 analyzed with OC43/USA/VR759/2019 to hCoV-19-like/bat/Yunnan/RaTG13/2013
DOI: 10.6084/m9.figshare.16823629.v11
title: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19)

description: The Correlation between Nidovirales and Coronavirus Disease 2019 (COVID-19) and the prevalence of Virus name: hCoV-19/USA/NJ-NYGC-S-RM-7299-KKOC434/2021 analyzed with OC43/USA/VR759/2019 to hCoV-19-like/bat/Yunnan/RaTG13/2013
DOI: 10.3886/e114251v1-99620
title: Replication data for: Temperature Shocks and Economic Growth: Evidence from the Last Half Century

description: This paper uses historical fluctuations in temperature within countries to identify its effects on aggregate economic outcomes. We find three primary results. First, higher temperatures substantially reduce economic growth in poor countries. Second, higher temperatures may reduce growth rates, not just the level of output. Third, higher temperatures have wide-ranging effects, reducing agricultural output, industrial output, and political stability. These findings inform debates over climate's role in economic development and suggest the possibility of substantial negative impacts of higher temperatures on poor countries. (JEL E23, O13, Q54, Q56)
DOI: 10.5281/zenodo.5594719
title: Automated application to assist in detecting novel gene-disease associations following whole genome sequencing

description: Results files, analysis scripts and original software from TierUp reanalysis performed on June 2020. These data contribute to the publication titled "Automated reanalysis application to assist in detecting novel gene-disease associations following whole genome sequencing". tierup_v0-3-0.tar.gz - source code used in the reanalysis tierup_results_summary.tar.gz - raw data and python code for publication figures