cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e193383v1
title: Air Pollution and Suicide in Rural and Urban America: Evidence from Wildfire Smoke

description: <b>This repository contains replication code and publicly-available data accompanying the article "Air Pollution and Suicide in Rural and Urban America: Evidence from Wildfire Smoke".<br></b><br>Reproducing the results of the study requires the restricted-access Detailed Mortality Files (2007-2019) from the National Center for Health Statistics (NCHS), which is not provided as part of this repository. Instructions for requesting the data can be found in the accompanying article. This repository contains all code and cleaned publicly-available data, allowing users with access to the NCHS data to replicate all results of the study.<br><br>Article Abstract:<br><br>Air pollution poses well-established risks to physical health, but little is known about its effects on mental health. We study the relationship between wildfire smoke exposure and suicide risk in the United States in 2007 to 2019 using data on all deaths by suicide and satellite-based measures of wildfire smoke and ambient fine particulate matter (PM2.5) concentrations. We identify the causal effects of wildfire smoke pollution on suicide by relating year-over-year fluctuations in county-level monthly smoke exposure to fluctuations in suicide rates and compare the effects across local areas and demographic groups that differ considerably in their baseline suicide risk. In rural counties, an additional day of smoke increases monthly mean PM2.5 by 0.41 μg/m3 and suicide deaths by 0.11 per million residents, such that a 1-μg/m3 (13%) increase in monthly wildfire-derived fine particulate matter leads to 0.27 additional suicide deaths per million residents (a 2.0% increase). These effects are concentrated among demographic groups with both high baseline suicide risk and high exposure to outdoor air: men, working-age adults, non-Hispanic Whites, and adults with no college education. By contrast, we find no evidence that smoke pollution increases suicide risk among any urban demographic group. This study provides large-scale evidence that air pollution elevates the risk of suicide, disproportionately so among rural populations.
description: All suicide deaths in the US, 2007-2019.
DOI: 10.5281/zenodo.8263424
title: aviceda_leuphotes_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8263423
title: aviceda_leuphotes_spades_01.fasta.gz

description: .
DOI: 10.25345/c5t727s1t
title: MassIVE MSV000092686 - Bifunctional inhibitor reveals NEK2 as a therapeutic target and regulator of oncogenic pathways in lymphoma
title: Expression of the serine/threonine kinase NEK2 is essential for entry into mitosis via its role in facilitating centrosome separation. Its overactivity can lead to tumorigenesis and drug resistance through the activation of several oncogenic pathways including AKT. While the cancer-enabling activities of NEK2 are documented in many malignancies, including correlations with poor survival in myeloma, breast, and non-small cell lung cancer, little is known about the role of NEK2 in lymphoma. Here, in tumors from patients with diffuse large B cell lymphoma (DLBCL), the most common, aggressive non-Hodgkin lymphoma, we found a high abundance of NEK2 mRNA and protein associated with an inferior overall survival. Using our recently developed NEK2 inhibitor, NBI-961, we discovered DLBCL cell lines and patient-derived cells exhibit a dependency on NEK2 for their viability. This compromised cell fitness was directly attributable to efficient NEK2 inhibition and proteasomal degradation by NBI-961. In a subset of particularly sensitive DLBCL cells, NBI-961 induced G2/mitosis arrest and apoptosis. In contrast, an existing indirect NEK2 inhibitor, INH154, did not prevent NEK2 autophosphorylation, induce NEK2 proteasomal degradation, or affect cell viability. Global proteomics and phospho-proteomics revealed that NEK2 orchestrates cell-cycle and apoptotic pathways through regulation of both known and new signaling molecules. We show the loss of NEK2 sensitized DLBCL to the chemotherapy agents doxorubicin and vincristine, and effectively suppressed tumor growth in mice. These studies establish the oncogenic activity of NEK2 in DLBCL and set the foundation for development of anti-NEK2 therapeutic strategies in this frequently refractory and relapse-prone cancer.
DOI: 10.5066/p96hl8un
title: Tree-ring widths of Picea engelmannii at Andrews Meadow, Rocky Mountain National Park

description: Andrews Meadow in the Loch Vale watershed, Rocky Mountain National Park. Sample Collection: Englemann spruce (Picea engelmannii) living on slopes surrounding and at the edge of Andrews meadow (Latitude 40? 17? 24? N, Longitude 105? 40? 01? W NAD83). At the time of collection, the climate-sensitive upland P. engelmannii trees were growing on well-drained slopes above the meadow. Seventeen trees, two cores per tree when possible, were collected using a 5mm-diameter increment borer. During sample collection, diameter at breast height (DBH) was also measured. These cores were processed following standard dendrochronological methods. The annual (TW) and earlywood (EW) ring-widths of each core were measured to 0.001mm precision using a Velmex stage and Tellervo measuring software. Visual crossdating was verified statistically using the ring-width measurements in the program COFECHA v.6.06P. Cores with breaks or rot precluding robust statistical crossdating were removed from further analysis. Final COFECHA statistics for TW indicate series intercorrelations of 0.544 and average mean sensitivity of 0.199. Final COFECHA statistics for EW indicate series intercorrelations of 0.546 and average mean sensitivity of 0.214. The tree-growth trend was removed using a negative exponential curve and the detrended ring-widths were then averaged and standardized for unitless site level standard chronologies (std) of TW and EW. Pre-whitened TW and EW chronologies (res) are the residuals from an autoregressive model (AR1) which removes year-to-year serial correlation commonly present in tree-ring series. The Earlywood record is begins at 1513 because it has been truncated to an acceptable Expressed Population Signal (EPS&gt;0.85). The EPS is an arbitrary statistical threshold above which the chronology is deemed statistically acceptable for climate reconstruction.
DOI: 10.6084/m9.figshare.23989263
title: Untitled Item

description: mRNAseq_cpm_MitoCarta2.0_Human_Obese_vs_Lean_MSCs
DOI: 10.6084/m9.figshare.23989263.v1
title: Untitled Item

description: mRNAseq_cpm_MitoCarta2.0_Human_Obese_vs_Lean_MSCs
DOI: 10.5281/zenodo.8263429
title: Near-infrared spectra dataset of milk composition in transmittance mode

description: <strong><em>Near-infrared spectra dataset of milk composition in transmittance mode</em></strong><strong> </strong>
DOI: 10.25403/upresearchdata.23971872.v1
title: Statistical output for working South African citizens

description: Statistical output of the data collected from a sample of 263 in order to gain a deeper understanding of the role that work–family enrichment could play in the relationship between job crafting and subjective career success. Statistical analyses were conducted using the SPSS version 28, lavaan 0.6.15 R-studio and JASP version 0.16.3 programs. Confirmatory factor analysis was used to analyse the construct validity of the instruments involved, correlation analyses were used to achieve the objectives of the study, and a mediation analysis was done as well.
DOI: 10.25403/upresearchdata.23971872
title: Statistical output for working South African citizens

description: Statistical output of the data collected from a sample of 263 in order to gain a deeper understanding of the role that work–family enrichment could play in the relationship between job crafting and subjective career success. Statistical analyses were conducted using the SPSS version 28, lavaan 0.6.15 R-studio and JASP version 0.16.3 programs. Confirmatory factor analysis was used to analyse the construct validity of the instruments involved, correlation analyses were used to achieve the objectives of the study, and a mediation analysis was done as well.
DOI: 10.5281/zenodo.8263443
title: accipiter_madagascariensis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8263442
title: accipiter_madagascariensis_spades_01.fasta.gz

description: .
DOI: 10.5066/p9nj3kmg
title: San Francisco Bay Area Reconnaissance Landslide Inventory, January 2023

description: From late December 2022 to January 2023, a series of atmospheric river storms produced widespread landsliding in the San Francisco Bay area of California. USGS scientists performed reconnaissance field work to document the extent of landsliding in the region and compiled reports of landslides from media and California Highway Patrol (CHP) reports. This data release documents locations of road cut and shallow hillslope landslides triggered between December 31, 2022 and January 18, 2023. This inventory is not intended to be a complete inventory, but a reporting of observations made with limited time and resources. The point locations include descriptions and associated attributes, described in the metadata. Media and CHP reports supplemented the field work, but do not represent a complete compilation of all landslide reports available during this time frame. This data release includes: 1) .csv file containing descriptive attributes, and point locations of road cut failures and shallow hillslope landslides, 2) .zip file containing photographs associated with point locations, and 3) .zip file containing shapefile (.shp) of approximate travel paths of USGS scientists, indicating the extent of area explored.
DOI: 10.6084/m9.figshare.23989266
title: Untitled Item

description: Peakwise_5hmC_Human_Obese_vs_Lean_MSCs_MitoCarta2.0_DBA_hMeDIPseq.diffbind.p1f0.all.sigsites.biomart.NormCounts<br>
DOI: 10.6084/m9.figshare.23989266.v1
title: Untitled Item

description: Peakwise_5hmC_Human_Obese_vs_Lean_MSCs_MitoCarta2.0_DBA_hMeDIPseq.diffbind.p1f0.all.sigsites.biomart.NormCounts<br>
DOI: 10.26050/wdcc/ar6.c6hrmohgh
title: IPCC DDC: MOHC HadGEM3-GC31-HH model output prepared for CMIP6 HighResMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.HighResMIP.MOHC.HadGEM3-GC31-HH' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The HadGEM3-GC3.1-N512ORCA12 climate model, released in 2016, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N512; 1024 x 768 longitude/latitude; 85 levels; top level 85 km), land: JULES-HadGEM3-GL7.1, ocean: NEMO-HadGEM3-GO6.0 (eORCA12 tripolar primarily 1/12 deg; 4320 x 3604 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: CICE-HadGEM3-GSI8 (eORCA12 tripolar primarily 1/12 deg; 4320 x 3604 longitude/latitude). The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 50 km, atmos: 50 km, land: 50 km, ocean: 10 km, seaIce: 10 km.
DOI: 10.26050/wdcc/ar6.c6hrmohhm
title: IPCC DDC: MOHC HadGEM3-GC31-HM model output prepared for CMIP6 HighResMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.HighResMIP.MOHC.HadGEM3-GC31-HM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The HadGEM3-GC3.1-N512ORCA025 climate model, released in 2016, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N512; 1024 x 768 longitude/latitude; 85 levels; top level 85 km), land: JULES-HadGEM3-GL7.1, ocean: NEMO-HadGEM3-GO6.0 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: CICE-HadGEM3-GSI8 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude). The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 50 km, atmos: 50 km, land: 50 km, ocean: 25 km, seaIce: 25 km.
DOI: 10.26050/wdcc/ar6.c6hrmohhmc1
title: IPCC DDC: MOHC HadGEM3-GC31-HM model output prepared for CMIP6 HighResMIP control-1950

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.HighResMIP.MOHC.HadGEM3-GC31-HM.control-1950' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The HadGEM3-GC3.1-N512ORCA025 climate model, released in 2016, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N512; 1024 x 768 longitude/latitude; 85 levels; top level 85 km), land: JULES-HadGEM3-GL7.1, ocean: NEMO-HadGEM3-GO6.0 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: CICE-HadGEM3-GSI8 (eORCA025 tripolar primarily 0.25 deg; 1440 x 1205 longitude/latitude). The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 50 km, atmos: 50 km, land: 50 km, ocean: 25 km, seaIce: 25 km.
DOI: 10.5281/zenodo.8263435
title: A Complete Water Balance of a Rain Garden

description: A bioinfiltration rain garden was retrofitted from an existing traffic island at Villanova University in 2001. It has been monitored continuously since 2003 at a five-minute timeseries resolution and with instrumentation that would enable a water balance calculation. This twenty-year dataset allows for an in-depth analysis of the hydrologic pathways and management in the rain garden. Using physical equations and modeled data (based on real-time measurements), a balance of all influent, stored, and effluent water within the rain garden was constructed. The water balance data (totals of individual water balance components) of all storms used in assessing the rain garden’s performance in the study are provided in this dataset. This dataset is associated with the forthcoming publication: <em>A Complete Water Balance of a Rain Garden</em> (McGauley et al. 2023).
DOI: 10.26050/wdcc/ar6.c6hrmohglc1
title: IPCC DDC: MOHC HadGEM3-GC31-LL model output prepared for CMIP6 HighResMIP control-1950

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.HighResMIP.MOHC.HadGEM3-GC31-LL.control-1950' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The HadGEM3-GC3.1-N96ORCA1 climate model, released in 2016, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), land: JULES-HadGEM3-GL7.1, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6hrmohgl
title: IPCC DDC: MOHC HadGEM3-GC31-LL model output prepared for CMIP6 HighResMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.HighResMIP.MOHC.HadGEM3-GC31-LL' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The HadGEM3-GC3.1-N96ORCA1 climate model, released in 2016, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), land: JULES-HadGEM3-GL7.1, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.