cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7873874
title: Koussoroplis_2019_Data_Code.zip

description: The experimental data as well as a Python script allowing to reproduce Fig. 3 and Fig. 4 are available in Koussoroplis et al 2019 (Ecology letters)
DOI: 10.6084/m9.figshare.7873847
title: Two Educational Board Games for Teaching Startup Growth Hacking

description: This upload contains two board games for teaching growth hacking in startups. The first board game, Growthopoly, provides an overview of growth hacking practice categories (files labeled Game1_*). The second game, Game of Growth, provides insights into individual growth hacking practices (file labeled Game2_*).<br>The PDF files contain all the materials for each game and can be printed with minimal setup required. The cards print correctly in this form (i.e. the front and back align) but have to be cut out manually from A4-sized prints as the individual cards are much smaller than an A4 sheet.<br>These materials are based on a scientific preprint paper found on arXiv at [Link TBA]<br>
DOI: 10.6084/m9.figshare.7873826
title: Opposite prognostic impact of single PTEN-loss and PTEN and PIK3CA in Early Breast Cancer in early high-risk breast cancer (Lazaridis, Kotoula, et al.)

description: <b>PTEN and PIK3CA in Early Breast Cancer</b>
DOI: 10.6084/m9.figshare.7873844
title: Supplemental figures "Widespread cell-specific prolactin receptor expression in multiple murine organs" Aoki et. al

description: PrlR expression in reporter mice<br>
DOI: 10.6084/m9.figshare.7873874.v1
title: Koussoroplis_2019_Data_Code.zip

description: The experimental data as well as a Python script allowing to reproduce Fig. 3 and Fig. 4 are available in Koussoroplis et al 2019 (Ecology letters)
DOI: 10.6084/m9.figshare.7873826.v1
title: Opposite prognostic impact of single PTEN-loss and PTEN and PIK3CA in Early Breast Cancer in early high-risk breast cancer (Lazaridis, Kotoula, et al.)

description: <b>PTEN and PIK3CA in Early Breast Cancer</b>
DOI: 10.6084/m9.figshare.7873844.v2
title: Supplemental figures "Widespread cell-specific prolactin receptor expression in multiple murine organs" Aoki et. al

description: PrlR expression in reporter mice<br>
DOI: 10.6084/m9.figshare.7873844.v1
title: Supplemental figures "Widespread cell-specific prolactin receptor expression in multiple murine organs" Aoki et. al

description: PrlR expression in reporter mice<br>
DOI: 10.6084/m9.figshare.7873577
title: ASV abundance table

description: ASV abundance table (row data) automatically generated by the Nephele pipeline.
DOI: 10.6084/m9.figshare.7873580
title: fastQC logfile

description: The log file automatically generated by fastQC software
DOI: 10.6084/m9.figshare.7873571
title: DADA2-logfile

description: The log file automatically generated by Nephele (DADA2) pipeline.
DOI: 10.6084/m9.figshare.7873577.v1
title: ASV abundance table

description: ASV abundance table (row data) automatically generated by the Nephele pipeline.
DOI: 10.6084/m9.figshare.7873580.v1
title: fastQC logfile

description: The log file automatically generated by fastQC software
DOI: 10.6084/m9.figshare.7873571.v1
title: DADA2-logfile

description: The log file automatically generated by Nephele (DADA2) pipeline.
DOI: 10.6084/m9.figshare.7873574
title: Nephele mapping file

description: The mapping file used for the Nephele pipeline uploaded along with the raw dataset
DOI: 10.6084/m9.figshare.7873559
title: Usage stats of COCI in OpenCitations

description: A quantitative analysis of the COCI data usage within the OpenCitations service since its first release, on July 2018
DOI: 10.6084/m9.figshare.7873574.v1
title: Nephele mapping file

description: The mapping file used for the Nephele pipeline uploaded along with the raw dataset
DOI: 10.6084/m9.figshare.7873559.v1
title: Usage stats of COCI in OpenCitations

description: @page { size: 21cm 29.7cm; margin: 2cm } p { margin-bottom: 0.21cm; background: transparent } a:visited { color: #800000; so-language: zxx; text-decoration: underline } a:link { color: #000080; so-language: zxx; text-decoration: underline } A quantitative analysis of the COCI data usage within the OpenCitations service since its first release, on July 2018
DOI: 10.6084/m9.figshare.7873559.v3
title: Usage stats of COCI in OpenCitations

description: A quantitative analysis of the COCI data usage within the OpenCitations service since its first release, on July 2018
DOI: 10.6084/m9.figshare.7873559.v2
title: Usage stats of COCI in OpenCitations

description: A quantitative analysis of the COCI data usage within the OpenCitations service since its first release, on July 2018
DOI: 10.6084/m9.figshare.7873502
title: A safety profile of the Pheroid drug delivery system in rodents

description: This contains the data for the article entitled A safety profile of the Pheroid drug delivery system in rodents. <br>
DOI: 10.6084/m9.figshare.7873502.v1
title: A safety profile of the Pheroid drug delivery system in rodents

description: This article contains the raw data for the PLOS ONE article - A safety profile of the Pheroid drug delivery system in rodents.<br>
DOI: 10.6084/m9.figshare.7873454
title: Data from: Poor management in protected areas negatively impacts tropical mammal diversity

description: Forest mammal community data used to build a multi-region community occupancy model. For model code, please see Supplementary Material.<br><br>
DOI: 10.6084/m9.figshare.7873424
title: Supplementary Material for: Predicting Risk of Recurrent Acute Kidney Injury: A Systematic Review

description: <b><i>Background:</i></b> Although the epidemiology of acute kidney injury (AKI) has been well described, less is known about recurrent AKI (r-AKI). We undertook a systematic review to identify incidence, risk factors, and outcomes of r-AKI. <b><i>Methods:</i></b> MEDLINE, EMBASE, CINAHL, Cochrane, Web of Science were searched, from inception to December 2017, for quantitative studies on adults with AKI, where follow-up included ­reporting of r-AKI. Two reviewers independently identified studies and assessed study quality. <b><i>Summary:</i></b> From 2,824 citations, 10 cohort studies met inclusion criteria (total patients <i>n</i> = 538,667). There were 2 distinct set of studies; 4 studies assessed r-AKI within the same hospital admission (most were intensive care unit [ICU] patients) and 6 studies assessed postdischarge r-AKI. The median percentage of people developing r-AKI within the same hospital admission was 23.4% (IQR 20.3–27.2%) and postdischarge r-AKI was 31.3% (IQR 26.4–33.7%). A higher Acute Physiology and Chronic Health Evaluation score was associated with increased risk of r-AKI within the same hospital admission in ICU patients. Cardiovascular disease and AKI severity were associated with increased risk of postdischarge r-AKI. R-AKI (within same admission and postdischarge) was associated with worse survival. It was not possible to pool results due to methodological differences across studies, such as varying definitions for AKI and r-AKI, varying length of follow-up and effect measures. <b><i>Key messages:</i></b> More representative population-based studies with robust assessment of predictors and consensus definition of r-AKI are needed to identify risk factors and develop risk stratification tools to reduce recurrence and improve outcomes. <b><i>Systematic Review Registration:</i></b> CRD42017082668.
DOI: 10.6084/m9.figshare.7873421
title: Suppl.Data2_Index2.txt from Consortia of anti-nematode fungi and bacteria in the rhizosphere of soybean plants attacked by root-knot nematodes

description: Cyst and root-knot nematodes are major risk factors of agroecosystem management, often causing devastating impacts on crop production. The use of microbes that parasitize or prey on nematodes has been considered as a promising approach for suppressing phytopathogenic nematode populations. However, effects and persistence of those biological control agents often vary substantially depending on regions, soil characteristics and agricultural practices: more insights into microbial community processes are required to develop reproducible control of nematode populations. By performing high-throughput sequencing profiling of bacteria and fungi, we examined how root and soil microbiomes differ between benign and nematode-infected plant individuals in a soybean field in Japan. Results indicated that various taxonomic groups of bacteria and fungi occurred preferentially on the soybean individuals infected by root-knot nematodes or those uninfected by nematodes. Based on a network analysis of potential microbe–microbe associations, we further found that several fungal taxa potentially preying on nematodes (<i>Dactylellina</i> (Orbiliales), <i>Rhizophydium</i> (Rhizophydiales), <i>Clonostachys</i> (Hypocreales), <i>Pochonia</i> (Hypocreales) and <i>Purpureocillium</i> (Hypocreales)) co-occurred in the soybean rhizosphere at a small spatial scale. This study suggests how ‘consortia’ of anti-nematode microbes can derive from indigenous (resident) microbiomes, providing basic information for managing anti-nematode microbial communities in agroecosystems.
DOI: 10.6084/m9.figshare.7873454.v1
title: Data from: Community composition of tropical forest mammals in relation to management regimes

description: Forest mammal community data used to build a multi-region community occupancy model. For model code, please see Online Resource 1.<br><br>
DOI: 10.26180/5c9372a2ba010
title: Codebook for PaRCADS_Study 1 & 2

description: Codebooks for raw datasets to PaRCADS Study 1 & 2
DOI: 10.6084/m9.figshare.7873418
title: Suppl.Data5_ITS.Soil.P.value.txt from Consortia of anti-nematode fungi and bacteria in the rhizosphere of soybean plants attacked by root-knot nematodes

description: Cyst and root-knot nematodes are major risk factors of agroecosystem management, often causing devastating impacts on crop production. The use of microbes that parasitize or prey on nematodes has been considered as a promising approach for suppressing phytopathogenic nematode populations. However, effects and persistence of those biological control agents often vary substantially depending on regions, soil characteristics and agricultural practices: more insights into microbial community processes are required to develop reproducible control of nematode populations. By performing high-throughput sequencing profiling of bacteria and fungi, we examined how root and soil microbiomes differ between benign and nematode-infected plant individuals in a soybean field in Japan. Results indicated that various taxonomic groups of bacteria and fungi occurred preferentially on the soybean individuals infected by root-knot nematodes or those uninfected by nematodes. Based on a network analysis of potential microbe–microbe associations, we further found that several fungal taxa potentially preying on nematodes (<i>Dactylellina</i> (Orbiliales), <i>Rhizophydium</i> (Rhizophydiales), <i>Clonostachys</i> (Hypocreales), <i>Pochonia</i> (Hypocreales) and <i>Purpureocillium</i> (Hypocreales)) co-occurred in the soybean rhizosphere at a small spatial scale. This study suggests how ‘consortia’ of anti-nematode microbes can derive from indigenous (resident) microbiomes, providing basic information for managing anti-nematode microbial communities in agroecosystems.
DOI: 10.6084/m9.figshare.7873421.v1
title: Suppl.Data2_Index2.txt from Consortia of anti-nematode fungi and bacteria in the rhizosphere of soybean plants attacked by root-knot nematodes

description: Cyst and root-knot nematodes are major risk factors of agroecosystem management, often causing devastating impacts on crop production. The use of microbes that parasitize or prey on nematodes has been considered as a promising approach for suppressing phytopathogenic nematode populations. However, effects and persistence of those biological control agents often vary substantially depending on regions, soil characteristics and agricultural practices: more insights into microbial community processes are required to develop reproducible control of nematode populations. By performing high-throughput sequencing profiling of bacteria and fungi, we examined how root and soil microbiomes differ between benign and nematode-infected plant individuals in a soybean field in Japan. Results indicated that various taxonomic groups of bacteria and fungi occurred preferentially on the soybean individuals infected by root-knot nematodes or those uninfected by nematodes. Based on a network analysis of potential microbe–microbe associations, we further found that several fungal taxa potentially preying on nematodes (<i>Dactylellina</i> (Orbiliales), <i>Rhizophydium</i> (Rhizophydiales), <i>Clonostachys</i> (Hypocreales), <i>Pochonia</i> (Hypocreales) and <i>Purpureocillium</i> (Hypocreales)) co-occurred in the soybean rhizosphere at a small spatial scale. This study suggests how ‘consortia’ of anti-nematode microbes can derive from indigenous (resident) microbiomes, providing basic information for managing anti-nematode microbial communities in agroecosystems.
DOI: 10.6084/m9.figshare.7873454.v3
title: Data from: Poor management in protected areas negatively impacts tropical mammal diversity

description: Forest mammal community data used to build a multi-region community occupancy model. For model code, please see Supplementary Material.<br><br>
DOI: 10.6084/m9.figshare.7873412
title: Suppl.Data3_16S.Root.txt from Consortia of anti-nematode fungi and bacteria in the rhizosphere of soybean plants attacked by root-knot nematodes

description: Cyst and root-knot nematodes are major risk factors of agroecosystem management, often causing devastating impacts on crop production. The use of microbes that parasitize or prey on nematodes has been considered as a promising approach for suppressing phytopathogenic nematode populations. However, effects and persistence of those biological control agents often vary substantially depending on regions, soil characteristics and agricultural practices: more insights into microbial community processes are required to develop reproducible control of nematode populations. By performing high-throughput sequencing profiling of bacteria and fungi, we examined how root and soil microbiomes differ between benign and nematode-infected plant individuals in a soybean field in Japan. Results indicated that various taxonomic groups of bacteria and fungi occurred preferentially on the soybean individuals infected by root-knot nematodes or those uninfected by nematodes. Based on a network analysis of potential microbe–microbe associations, we further found that several fungal taxa potentially preying on nematodes (<i>Dactylellina</i> (Orbiliales), <i>Rhizophydium</i> (Rhizophydiales), <i>Clonostachys</i> (Hypocreales), <i>Pochonia</i> (Hypocreales) and <i>Purpureocillium</i> (Hypocreales)) co-occurred in the soybean rhizosphere at a small spatial scale. This study suggests how ‘consortia’ of anti-nematode microbes can derive from indigenous (resident) microbiomes, providing basic information for managing anti-nematode microbial communities in agroecosystems.
DOI: 10.6084/m9.figshare.7873415
title: Suppl.Data5_16S.Root.P.value.txt from Consortia of anti-nematode fungi and bacteria in the rhizosphere of soybean plants attacked by root-knot nematodes

description: Cyst and root-knot nematodes are major risk factors of agroecosystem management, often causing devastating impacts on crop production. The use of microbes that parasitize or prey on nematodes has been considered as a promising approach for suppressing phytopathogenic nematode populations. However, effects and persistence of those biological control agents often vary substantially depending on regions, soil characteristics and agricultural practices: more insights into microbial community processes are required to develop reproducible control of nematode populations. By performing high-throughput sequencing profiling of bacteria and fungi, we examined how root and soil microbiomes differ between benign and nematode-infected plant individuals in a soybean field in Japan. Results indicated that various taxonomic groups of bacteria and fungi occurred preferentially on the soybean individuals infected by root-knot nematodes or those uninfected by nematodes. Based on a network analysis of potential microbe–microbe associations, we further found that several fungal taxa potentially preying on nematodes (<i>Dactylellina</i> (Orbiliales), <i>Rhizophydium</i> (Rhizophydiales), <i>Clonostachys</i> (Hypocreales), <i>Pochonia</i> (Hypocreales) and <i>Purpureocillium</i> (Hypocreales)) co-occurred in the soybean rhizosphere at a small spatial scale. This study suggests how ‘consortia’ of anti-nematode microbes can derive from indigenous (resident) microbiomes, providing basic information for managing anti-nematode microbial communities in agroecosystems.
DOI: 10.6084/m9.figshare.7873418.v1
title: Suppl.Data5_ITS.Soil.P.value.txt from Consortia of anti-nematode fungi and bacteria in the rhizosphere of soybean plants attacked by root-knot nematodes

description: Cyst and root-knot nematodes are major risk factors of agroecosystem management, often causing devastating impacts on crop production. The use of microbes that parasitize or prey on nematodes has been considered as a promising approach for suppressing phytopathogenic nematode populations. However, effects and persistence of those biological control agents often vary substantially depending on regions, soil characteristics and agricultural practices: more insights into microbial community processes are required to develop reproducible control of nematode populations. By performing high-throughput sequencing profiling of bacteria and fungi, we examined how root and soil microbiomes differ between benign and nematode-infected plant individuals in a soybean field in Japan. Results indicated that various taxonomic groups of bacteria and fungi occurred preferentially on the soybean individuals infected by root-knot nematodes or those uninfected by nematodes. Based on a network analysis of potential microbe–microbe associations, we further found that several fungal taxa potentially preying on nematodes (<i>Dactylellina</i> (Orbiliales), <i>Rhizophydium</i> (Rhizophydiales), <i>Clonostachys</i> (Hypocreales), <i>Pochonia</i> (Hypocreales) and <i>Purpureocillium</i> (Hypocreales)) co-occurred in the soybean rhizosphere at a small spatial scale. This study suggests how ‘consortia’ of anti-nematode microbes can derive from indigenous (resident) microbiomes, providing basic information for managing anti-nematode microbial communities in agroecosystems.
DOI: 10.6084/m9.figshare.7873454.v2
title: Data from: Community composition of tropical forest mammals in relation to management regimes

description: Forest mammal community data used to build a multi-region community occupancy model. For model code, please see Online Resources.<br><br>
DOI: 10.6084/m9.figshare.7873412.v1
title: Suppl.Data3_16S.Root.txt from Consortia of anti-nematode fungi and bacteria in the rhizosphere of soybean plants attacked by root-knot nematodes

description: Cyst and root-knot nematodes are major risk factors of agroecosystem management, often causing devastating impacts on crop production. The use of microbes that parasitize or prey on nematodes has been considered as a promising approach for suppressing phytopathogenic nematode populations. However, effects and persistence of those biological control agents often vary substantially depending on regions, soil characteristics and agricultural practices: more insights into microbial community processes are required to develop reproducible control of nematode populations. By performing high-throughput sequencing profiling of bacteria and fungi, we examined how root and soil microbiomes differ between benign and nematode-infected plant individuals in a soybean field in Japan. Results indicated that various taxonomic groups of bacteria and fungi occurred preferentially on the soybean individuals infected by root-knot nematodes or those uninfected by nematodes. Based on a network analysis of potential microbe–microbe associations, we further found that several fungal taxa potentially preying on nematodes (<i>Dactylellina</i> (Orbiliales), <i>Rhizophydium</i> (Rhizophydiales), <i>Clonostachys</i> (Hypocreales), <i>Pochonia</i> (Hypocreales) and <i>Purpureocillium</i> (Hypocreales)) co-occurred in the soybean rhizosphere at a small spatial scale. This study suggests how ‘consortia’ of anti-nematode microbes can derive from indigenous (resident) microbiomes, providing basic information for managing anti-nematode microbial communities in agroecosystems.
DOI: 10.6084/m9.figshare.7873415.v1
title: Suppl.Data5_16S.Root.P.value.txt from Consortia of anti-nematode fungi and bacteria in the rhizosphere of soybean plants attacked by root-knot nematodes

description: Cyst and root-knot nematodes are major risk factors of agroecosystem management, often causing devastating impacts on crop production. The use of microbes that parasitize or prey on nematodes has been considered as a promising approach for suppressing phytopathogenic nematode populations. However, effects and persistence of those biological control agents often vary substantially depending on regions, soil characteristics and agricultural practices: more insights into microbial community processes are required to develop reproducible control of nematode populations. By performing high-throughput sequencing profiling of bacteria and fungi, we examined how root and soil microbiomes differ between benign and nematode-infected plant individuals in a soybean field in Japan. Results indicated that various taxonomic groups of bacteria and fungi occurred preferentially on the soybean individuals infected by root-knot nematodes or those uninfected by nematodes. Based on a network analysis of potential microbe–microbe associations, we further found that several fungal taxa potentially preying on nematodes (<i>Dactylellina</i> (Orbiliales), <i>Rhizophydium</i> (Rhizophydiales), <i>Clonostachys</i> (Hypocreales), <i>Pochonia</i> (Hypocreales) and <i>Purpureocillium</i> (Hypocreales)) co-occurred in the soybean rhizosphere at a small spatial scale. This study suggests how ‘consortia’ of anti-nematode microbes can derive from indigenous (resident) microbiomes, providing basic information for managing anti-nematode microbial communities in agroecosystems.
DOI: 10.6084/m9.figshare.7873391
title: Suppl.Data5_ITS.Root.P.value.txt from Consortia of anti-nematode fungi and bacteria in the rhizosphere of soybean plants attacked by root-knot nematodes

description: Cyst and root-knot nematodes are major risk factors of agroecosystem management, often causing devastating impacts on crop production. The use of microbes that parasitize or prey on nematodes has been considered as a promising approach for suppressing phytopathogenic nematode populations. However, effects and persistence of those biological control agents often vary substantially depending on regions, soil characteristics and agricultural practices: more insights into microbial community processes are required to develop reproducible control of nematode populations. By performing high-throughput sequencing profiling of bacteria and fungi, we examined how root and soil microbiomes differ between benign and nematode-infected plant individuals in a soybean field in Japan. Results indicated that various taxonomic groups of bacteria and fungi occurred preferentially on the soybean individuals infected by root-knot nematodes or those uninfected by nematodes. Based on a network analysis of potential microbe–microbe associations, we further found that several fungal taxa potentially preying on nematodes (<i>Dactylellina</i> (Orbiliales), <i>Rhizophydium</i> (Rhizophydiales), <i>Clonostachys</i> (Hypocreales), <i>Pochonia</i> (Hypocreales) and <i>Purpureocillium</i> (Hypocreales)) co-occurred in the soybean rhizosphere at a small spatial scale. This study suggests how ‘consortia’ of anti-nematode microbes can derive from indigenous (resident) microbiomes, providing basic information for managing anti-nematode microbial communities in agroecosystems.