cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25675/10217/194264
title: Model output associated with "Sensitivity of convective self-aggregation to domain size"

description: The following model output is a subset of the data used to produce the figures in "Sensitivity of Convective Self-Aggregation to Domain Size". Full model output can be obtained by contacting casey.patrizio@colostate.edu. The model output is from simulations of radiative-convective equilibrium using the cloud-resolving model, the System for Atmospheric Modeling (SAM). Four different square-domain sizes are used: S (768 x 768 km), M (1536 x 1536 km), L (3072 x 3072 km) and XL (6144 x 6144 km) with a horizontal grid spacing of 3 km and 64 vertical levels, over a maximum time of 350 simulated days. Hourly mean statistics are included in the subdirectory OUT_STAT, and hourly 2D fields are included in the subdirectory OUT_2D. Six-hourly 3D fields are included in the subdirectory OUT_3D. encompassing hourly mean statistics for all 4 domains over the entire simulation, 2D fields for the S, M and L domains over the entire simulation, and 3D fields for the S, M, L and XL domains near the end of simulation. File names have the following format: _____.nc. For example, "STAT_256x256x64_3000m_10s_250days_302K.nc" corresponds to hourly mean statistics for the S domain, with a time step of 10 seconds over 250 simulated days and a sea-surface temperature of 302K. More details about the variables contained in each file can be found by using the command 'ncdump -h '.
description: A 3D cloud-resolving model has been used to investigate the domain-size-dependence of simulations of convective self-aggregation (CSA) in radiative--convective equilibrium. We investigate how large a domain is needed to allow multiple convective clusters, and also how the properties equilibrated CSA depend on domain size. We used doubly-periodic square domains of widths 768 km, 1536 km, 3072 km and 6144 km, over 350 simulated days. In the 768 km, 1536 km, and 3072 km domains, the simulations produced circular convective clusters surrounded by broader regions of dry, subsiding air. In the 6144 km domain, the convection ultimately forms two disconnected bands. As the domain size increases, equilibrated CSA moistens in two ways. First, as the circulation widens, this leads to stronger boundary layer winds and a more humid boundary-layer. Second, the stronger inflow into the convective region boundary-layer (CBL) is associated with a warmer CBL, which leads to intensified deep convection, more melting and freezing near the freezing level, enhanced mid-level stability, increased congestus activity and detrainment of moist air into the dry region. In the larger domains, the deep convection and congestus slowly oscillate out of phase with each other with a time period of about 25 to 30 days. We hypothesize that other important domain-size sensitivities, including a decrease in net MSE export from the convective region, are fundamentally linked to the increasing relationship between domain size and boundary-layer wind speed. Our results suggest that the statistics of CSA converge only for domains wider than about 3000 km.
DOI: 10.25675/10217/208629
title: 20-year vegetation change data in three ecological zones in Mongolia

description: This dataset includes Mountain Steppe, Steppe, and Desert-Steppe species cover and biomass data for 1994. 1995 and 2013.
description: Mongolian rangelands have experienced warming temperatures and increasing livestock densities over the past 20 years. Remote sensing studies report widespread degradation, but there are no long-term field studies of vegetation responses to shifts in climate and stocking densities. In 2013, we resampled plots originally sampled in 1994-1995 in the desert-steppe, steppe and mountain-steppe, and analyzed changes in vegetation in relation to changes in climate, stocking densities and forage use. Summer temperatures significantly increased and stocking densities fluctuated in response to droughts followed by harsh winters. Total herbaceous biomass in 2013 was similar to (desert-steppe and steppe) or greater than (mountain-steppe) in 1995, and total foliar and herbaceous cover were unchanged since 1995 in all zones. In the mountain-steppe, functional type and species cover shifts were consistent with warming temperatures and increasing grazing pressure. All species richness and diversity indicators declined significantly in the mountain-steppe since 1995 as did richness in the steppe. Some Mongolian rangelands may be losing resilience due to interacting climate and grazing pressures, but our data suggest degradation observed at our study sites is reversible. Mountain-steppe systems appear more vulnerable to grazing- and climate-induced vegetation change than steppe and desert-steppe.
DOI: 10.25675/10217/189237
title: Precipitationshed data for the moisture recycling analysis within the article "On the social dynamics of moisture recycling"

description: These data are the output of a global moisture tracking model. There are output files for 3 countries from the original analysis. Each file contains a globally gridded dataset of evaporation that eventually falls as precipitation in each of the megacity regions, i.e. precipitationshed data. The data is in a Matlab matrix, with dimensions of [years, months, latitude, longitude]. For additional details on how the data were produces, please query the original publication.
description: The biophysical phenomenon of terrestrial moisture recycling connects distant regions via the atmospheric branch of the water cycle. This process, whereby the land surface mediates evaporation to the atmosphere and the precipitation that falls downwind, is increasingly well-understood. However, recent studies highlight a need to consider an important and often missing dimension – the social. Here, we explore the social dynamics of three case study countries with strong terrestrial moisture recycling: Mongolia, Niger, and Bolivia. We first use the WAM-2layers moisture tracking scheme and ERA-Interim climate reanalysis, to calculate the evaporation sources for each country's precipitation, a.k.a. the precipitationshed. Second, we examine the social aspects of source and sink regions, using economic, food security, and land-use data. Third, we perform a literature review of relevant economic links, land-use policies, and land-use change for each country and its evaporation sources. The moisture-recycling analysis reveals that Mongolia, Niger, and Bolivia recycle 13, 9, and 18 % of their own moisture, respectively. Our analysis of social aspects suggests considerable heterogeneity in the social characteristics within each country relative to the societies in its corresponding evaporation sources. We synthesize our case studies and develop a set of three system archetypes that capture the core features of the moisture-recycling social–ecological systems (MRSESs): isolated, regional, and tele-coupled systems. Our key results are as follows: (a) geophysical tele-connections of atmospheric moisture are complemented by social tele-couplings forming feedback loops, and consequently, complex adaptive systems; (b) the heterogeneity of the social dynamics among our case studies renders broad generalization difficult and highlights the need for nuanced individual analysis; and, (c) there does not appear to be a single desirable or undesirable MRSES, with each archetype associated with benefits and disadvantages. This exploration of the social dimensions of moisture recycling is part of an extension of the emerging discipline of socio-hydrology and a suggestion for further exploration of new disciplines such as socio-meteorology or socio-climatology, within which the Earth system is considered as a coevolutionary social–ecological system.
DOI: 10.25675/10217/212215
title: Dataset for the reproduction of the item response model in "More robust local governance suggests positive effects of long-term community conservation"

description: Data describe 6 measures of support for local leadership, and 2 group-level identifiers, recorded from 295 households in Iringa Region, Tanzania, in 2015. Data were collected as part of evaluation of community-based conservation interventions.
description: Community-based conservation (CBC) is essential to promoting biodiversity protection and livelihood development. Despite significant financial and institutional investment, performance of CBC interventions is mixed, with shortcomings especially evident in wildlife-based CBC in Africa. CBC outcomes are typically evaluated through household livelihood gains, or through policy analysis at higher administrative levels such as the central state. Surprisingly, village or local governance capacity is often missing from project assessment. Through a controlled study, we evaluate CBC interventions at multiple scales in Tanzania. Employing Bayesian multilevel latent trait models, we find that CBC participation predicts stronger village governance institutions. Additionally, compared to control villages, CBC villages have more local civic organizations and small business enterprise, but do not experience greater elite capture of public goods. Together, and in the absence of direct CBC benefits provisioned to households or signs of success at the higher level of multi-village CBC bodies, these findings point to the possibility that village-level governance institutions can adapt in beneficial ways to prolonged CBC interventions.
DOI: 10.25675/10217/180149
title: PROGRESS_dataset_YR1

description: Data was collected during Fall 2015 and Spring 2016.
description: Women are underrepresented in a number of science, technology, engineering, and mathematics (STEM) disciplines. Limited diversity in the development of the STEM workforce has negative implications for scientific innovation, creativity, and social relevance. The current study reports the first-year results of the PROmoting Geoscience Research, Education, and SuccesS (PROGRESS) program, a novel theory-driven informal mentoring program aimed at supporting first- and second-year female STEM majors. Using a prospective, longitudinal, multi-site (i.e., 7 universities in Colorado/Wyoming Front Range & Carolinas), propensity score matched design, we compare mentoring and persistence outcomes for women in and out of PROGRESS (N = 116). Women in PROGRESS attended an off-site weekend workshop and gained access to a network of volunteer female scientific mentors from on- and off-campus (i.e., university faculty, graduate students, and outside scientific professionals). The results indicate that women in PROGRESS had larger networks of developmental mentoring relationships and were more likely to be mentored by faculty members and peers than matched controls. Mentoring support from a faculty member benefited early-undergraduate women by strengthening their scientific identity and their interest in earth and environmental science career pathways. Further, support from a faculty mentor had a positive indirect impact on women's scientific persistence intentions, through strengthened scientific identity development. These results imply that first- and second- year undergraduate women's mentoring support networks can be enhanced through provision of protégé training and access to more senior women in the sciences willing to provide mentoring support.
DOI: 10.5281/zenodo.4748336
title: Crossref open citations

description: This text file contains citations between documents classified as journal article, book content, conference paper, or preprint in Crossref. Each line in the file contains the DOI of a citing document followed by the DOI of a cited document. There are 110,851,607 documents classified as journal article, book content, conference paper, or preprint in Crossref. There are 1,080,268,294 citations between these documents in Crossref (excluding citations that are closed). The data has been extracted from Crossref’s XML Metadata Plus Snapshot downloaded on March 5, 2021.
DOI: 10.5281/zenodo.7085388
title: Crossref open citations

description: This text file contains citations between documents classified as journal article, book content, conference paper, or preprint in Crossref. Each line in the file contains the DOI of a citing document followed by the DOI of a cited document. There are 118,970,899 documents classified as journal article, book content, conference paper, or preprint in Crossref. There are 1,219,658,132 citations between these documents in Crossref (excluding citations that are closed). The data has been extracted from Crossref’s XML Metadata Plus Snapshot downloaded on February 3, 2022.
DOI: 10.5281/zenodo.8099711
title: Crossref open citations

description: This text file contains citations between documents classified as journal article, book content, conference paper, or preprint in Crossref. Each line in the file contains the DOI of a citing document followed by the DOI of a cited document. There are 127,621,644 documents classified as journal article, book content, conference paper, or preprint in Crossref. There are 1,404,299,414 citations between these documents in Crossref. The data has been extracted from Crossref’s XML Metadata Plus Snapshot downloaded on February 3, 2023.
DOI: 10.25675/10217/189450
title: Material associated with the manuscript "Development and implementation of a new biomass burning emissions injection height scheme for the GEOS-chem model"

description: This repository contains two files: One is the 4-D emitted fraction based on the MISR plume observations in 2008 gridded as 2o × 2.5o horizontal resolution and GEOS-5 reduced vertical resolution. As there is no emitted fraction above 29 GEOS-5 levels, the file includes 29 vertical levels. The emitted fractions are averaged by month. Thus, the matrix dimension is 144 × 91 × 29 ×12. It is saved as a netcdf file: "fire_injheight_GEOS_Chem_c20170404.nc" The other one is the modification of a GEOS-Chem fortran module. This module reads in the file above and applies the emitted fractions to the corresponding grid cells. This module is a part of the larger GEOS-Chem model The name of the code(module) is "setemis.F".
description: Biomass burning is a significant source of trace gases and aerosols to the atmosphere, and the evolution of these species depends acutely on where they are injected into the atmosphere. GEOS-Chem is a chemical transport model driven by assimilated meteorological data that is used to probe a variety of scientific questions related to atmospheric composition, including the role of biomass burning. This paper presents the development and implementation of a new global biomass burning emissions injection scheme in the GEOS-Chem model. The new injection scheme is based on monthly gridded Multi-Angle Imaging Spectro Radiometer (MISR) global plume-height stereoscopic observations in 2008. To provide specific examples of the impact of the model updates, we compare the output from simulations with and without the new MISR-based injection height scheme to several sets of observations from regions with active fires. Our comparisons with ARCTAS aircraft observations show that the updated injection height scheme improves the ability of the model to simulate the vertical distribution of peroxyacetyl nitrate (PAN) and carbon monoxide (CO) over North American boreal regions in summer. We also compare a simulation for October 2010 and 2011 to vertical profiles of CO over the Amazon Basin. When coupled with larger emission factors for CO, a simulation that includes the new injection scheme also better matches selected observations in this region. Finally the improved injection height also improves the simulation of monthly mean surface CO over California during July 2008, a period with large fires.
DOI: 10.25675/10217/180280
title: Database used for creation of antimicrobial resistance and virulence bait-capture panel

description: These 2 databases were used for design and validation of a bait-capture system for enrichment of antimicrobial resistance and virulence genes within metagenomic samples.
DOI: 10.15156/bio/sh0780726.10fu
title: SH0780726.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0780727.10fu
title: SH0780727.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0780728.10fu
title: SH0780728.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0780729.10fu
title: SH0780729.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0780730.10fu
title: SH0780730.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0780731.10fu
title: SH0780731.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0780732.10fu
title: SH0780732.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.