cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15393113
title: Evolution of Benguela Upwelling System and its role in southern African aridification since the Late Miocene

description: The dataset consists of planktic foraminiferal abundance data and stable oxygen and carbon isotope records of shallow and deep-dwelling planktic foraminifera from ~11.7 to Recent.
DOI: 10.6084/m9.figshare.12033846
title: Testing tribe-specific macroevolutionary responses to paleoenvironmental changes in ants, and the impact of taxon sampling on diversification analyses

description: The zip file contains (1) the phylogenetic data for extracting the ant tribe clades from the global ant phylogeny, (2) the R scripts for running the diversification analyses applied to all clades, (3) the figures of the main text, (4) the tables of the main text, and (5) the additional files showing supporting information not in the main text.
DOI: 10.6084/m9.figshare.12033846.v2
title: Testing tribe-specific macroevolutionary responses to paleoenvironmental changes in ants, and the impact of taxon sampling on diversification analyses

description: The zip file contains (1) the phylogenetic data for extracting the ant tribe clades from the global ant phylogeny, (2) the R scripts for running the diversification analyses applied to all clades, (3) the figures of the main text, (4) the tables of the main text, and (5) the additional files showing supporting information not in the main text.
DOI: 10.21227/kjmx-gz73
title: "Restored signal across illumination levels"

description: "We present a 43 \u03bcm \u00d7 269 \u03bcm tetherless neural recording microsystem."
DOI: 10.6084/m9.figshare.12033846.v1
title: Clade-specific macroevolutionary responses to paleoenvironmental changes in ants

description: The zip file contains (1) the phylogenetic data for extracting the ant tribe clades from the global ant phylogeny, (2) the R scripts for running the diversification analyses applied to all clades, (3) the figures of the main text, (4) the tables of the main text, and (5) the additional files showing supporting information not in the main text.
DOI: 10.6084/m9.figshare.30128551.v1
title: Datasets of species mixing effects

description: Database associated with Hui Z. et al. "Species mixing promotes plant biomass accumulation and nutrient cycling in forest plantations"
DOI: 10.5281/zenodo.17122808
title: Data underlying the paper titled "Mid-infrared intersubband transitions in p-type SiGe parabolic quantum wells"
DOI: 10.5281/zenodo.17122807
title: Data underlying the paper titled "Mid-infrared intersubband transitions in p-type SiGe parabolic quantum wells"
DOI: 10.15482/usda.adc/29378309
title: Coarse woody debris inventory and traits (density and chemical traits) of novel forest stands of moist Puerto Rico after Hurricane Maria

description: This dataset contains inventory, wood density, and nutrient analysis data for Coarse Woody Debris (CWD) from 21 novel forest stands in the subtropical moist forest life zone of north-central and western Puerto Rico. The study sites feature soils derived from alluvial, karst, and volcanic geological substrates and are dominated by non-native tree species, including members of the Fabaceae family and <i>Spathodea campanulata</i>.Data was collected between December 2019 and July 2020. CWD (minimum diameter 7.6 cm, minimum length 91.4 cm) was sampled on a per-area basis (Mg ha⁻¹) using the line-intersect sampling (LIS) method. The inventory includes measurements of CWD dimensions, species identification, and decay class (1-5). From this, CWD volume, biomass, and elemental stocks (Carbon, Nitrogen, Phosphorus) were calculated.The dataset also includes wood density measurements for various CWD species and decay classes, determined from oven-dried mass and fresh volume. Nutrient profiles for CWD were determined by a laboratory for total carbon, nitrogen, and phosphorus concentrations (%) via combustion analysis.<br>
DOI: 10.15482/usda.adc/29378309.v1
title: Coarse woody debris inventory and traits (density and chemical traits) of novel forest stands of moist Puerto Rico after Hurricane Maria

description: This dataset contains inventory, wood density, and nutrient analysis data for Coarse Woody Debris (CWD) from 21 novel forest stands in the subtropical moist forest life zone of north-central and western Puerto Rico. The study sites feature soils derived from alluvial, karst, and volcanic geological substrates and are dominated by non-native tree species, including members of the Fabaceae family and <i>Spathodea campanulata</i>.Data was collected between December 2019 and July 2020. CWD (minimum diameter 7.6 cm, minimum length 91.4 cm) was sampled on a per-area basis (Mg ha⁻¹) using the line-intersect sampling (LIS) method. The inventory includes measurements of CWD dimensions, species identification, and decay class (1-5). From this, CWD volume, biomass, and elemental stocks (Carbon, Nitrogen, Phosphorus) were calculated.The dataset also includes wood density measurements for various CWD species and decay classes, determined from oven-dried mass and fresh volume. Nutrient profiles for CWD were determined by a laboratory for total carbon, nitrogen, and phosphorus concentrations (%) via combustion analysis.<br>
DOI: 10.25574/26100
title: Chandra X-ray Observatory ObsId 26100

description: Chandra observation of eFEDS J091453.6+041613
DOI: 10.5517/ccdc.csd.cc2n0z6w
title: CCDC 2443798: Experimental Crystal Structure Determination

description: Related Article: Yi-Meng Song, Xiang-Jia Song, Ming Ge, Guang-Hua Cui|2025|J.Solid State Chem.|352|125591|doi:10.1016/j.jssc.2025.125591
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25574/27051
title: Chandra X-ray Observatory ObsId 27051

description: An X-ray Census of YSOs in an IRDC interacting with a SNR
DOI: 10.15468/dd.kdafcj
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.34740/kaggle/dsv/13068582
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17122780
title: CROHME Contextual Dataset

description: This dataset supports CROHME2019 [1] and CROHME2023 [2] Testset with contextual information. It provides aligned LaTeX expressions extracted from source documents, along with surrounding textual context, to facilitate formula recognition experiments. The paper is publised in ICDAR 2025 M3RD Workshop [3].

The dataset contains two main components: the original source files and processed JSON data aligned with CROHME test sets.
DOI: 10.5281/zenodo.17122781
title: CROHME Contextual Dataset

description: This dataset supports CROHME2019 [1] and CROHME2023 [2] Testset with contextual information. It provides aligned LaTeX expressions extracted from source documents, along with surrounding textual context, to facilitate formula recognition experiments. The paper is publised in ICDAR 2025 M3RD Workshop [3].

The dataset contains two main components: the original source files and processed JSON data aligned with CROHME test sets.
DOI: 10.7303/syn69761679
title: Wang_Erming
DOI: 10.6084/m9.figshare.30128833
title: Semiparametric Estimation for Error-Prone Partially Linear Single-Index Models

description: Partially linear single-index models prove to be flexible in facilitating various types of relationships between the outcome and covariates. However, their validity is hampered by the presence of measurement error in covariates, a feature commonly encountered in applications. In this paper, we explore the use of such models to handle data subject to measurement error in both parametric and nonparametric terms. In addition, with multivariate covariates, often a few of them are informative while most of them are not. In this paper, we propose the three stage procedure to eliminate measurement error effects and select important variables for both the linear predictor term and the single-index part. To implement the proposed method efficiently, we develop a boosting algorithm that enables us to select variables and estimate the parameters without handling non-differentiable penalty functions. Theoretical results, including consistency and asymptotic normality of the estimator, are established to justify the validity of the proposed method. In addition, we examine statistical properties of the boosting algorithm, including convergence and validity of variable selection. Numerical studies, including simulation and data analysis, are conducted to assess the finite sample performance of the proposed method.
DOI: 10.6084/m9.figshare.30128833.v1
title: Semiparametric Estimation for Error-Prone Partially Linear Single-Index Models

description: Partially linear single-index models prove to be flexible in facilitating various types of relationships between the outcome and covariates. However, their validity is hampered by the presence of measurement error in covariates, a feature commonly encountered in applications. In this paper, we explore the use of such models to handle data subject to measurement error in both parametric and nonparametric terms. In addition, with multivariate covariates, often a few of them are informative while most of them are not. In this paper, we propose the three stage procedure to eliminate measurement error effects and select important variables for both the linear predictor term and the single-index part. To implement the proposed method efficiently, we develop a boosting algorithm that enables us to select variables and estimate the parameters without handling non-differentiable penalty functions. Theoretical results, including consistency and asymptotic normality of the estimator, are established to justify the validity of the proposed method. In addition, we examine statistical properties of the boosting algorithm, including convergence and validity of variable selection. Numerical studies, including simulation and data analysis, are conducted to assess the finite sample performance of the proposed method.
DOI: 10.57745/occdre
title: Moulinet: A software for processing discharge measurements using the velocity-area method. Version 3.7.1

description: Moulinet is an online software for processing gaugings by exploring the velocity field, available at https://moulinet.g-eau.fr. Developed by the UMR G-EAU under the OFB-Inrae grant agreement, it enables the estimation of flow rates from gauging data collected using electromagnetic current meters, reels, or gauging rods (Le Coz et al. 2024). Moulinet implements methods with a reduced number of points on a vertical (1 to 6 points) and the arithmetic flow calculation method known as the mid-section methods, derived from the ISO 748 (2021) standard. It also implements the Q+ method for uncertainty calculation described in Le Coz et al. (2012) et Le Coz et al. (2015).
DOI: 10.5281/zenodo.15464456
title: CANAL-DIQUE-TSS-MODEL

description: Code and data for the paper "Optimizing Total Suspended Solids Mitigation in a Data-Limited Watershed: A Network-Based Advection–Reaction Model Applied to the Canal del Dique, Colombia.". This repository contains a network-based advection-reaction model to simulate and optimize Total Suspended Solids (TSS) removal in the Canal del Dique watershed, Colombia.
DOI: 10.5281/zenodo.17122864
title: CANAL-DIQUE-TSS-MODEL

description: Code and data for the paper "Optimizing Total Suspended Solids Mitigation in a Data-Limited Watershed: A Network-Based Advection–Reaction Model Applied to the Canal del Dique, Colombia.". This repository contains a network-based advection-reaction model to simulate and optimize Total Suspended Solids (TSS) removal in the Canal del Dique watershed, Colombia.
DOI: 10.6084/m9.figshare.30128803
title: Jove article data.xlsx

description: We tested the effect of four types of waste-derived biochars on the health and biological activity of soil. The biochars were derived from coffee grounds, spent hops, spruce wood, and cigarette butts.
DOI: 10.6084/m9.figshare.30128803.v1
title: Jove article data.xlsx

description: We tested the effect of four types of waste-derived biochars on the health and biological activity of soil. The biochars were derived from coffee grounds, spent hops, spruce wood, and cigarette butts.
DOI: 10.13012/b2idb-1448896_v1
title: Data from Highly Efficient Single-Pot Scarless Golden Gate Assembly

description: Golden Gate assembly is one of the most widely used DNA assembly methods due to its robustness and modularity. However, despite its popularity, the need for BsaI-free parts, the introduction of scars between junctions, as well as the lack of a comprehensive study on the linkers hinders its more widespread use. Here, we first developed a novel sequencing scheme to test the efficiency and specificity of 96 linkers of 4-bp length and experimentally verified these linkers and their effects on Golden Gate assembly efficiency and specificity. We then used this sequencing data to generate 200 distinct linker sets that can be used by the community to perform efficient Golden Gate assemblies of different sizes and complexity. We also present a single-pot scarless Golden Gate assembly and BsaI removal scheme and its accompanying assembly design software to perform point mutations and Golden Gate assembly. This assembly scheme enables scarless assembly without compromising efficiency by choosing optimized linkers near assembly junctions.
DOI: 10.5281/zenodo.14919327
title: tonsil_xenium_TIS06055_471g_panel

description: output-XETG00123__0030916__TIS06055-001-015__20240801__192724.zip: Xenium Ranger output for 471 gene custom panel on human tonsil section
DOI: 10.5281/zenodo.17122869
title: tonsil_xenium_TIS06055_471g_panel

description: output-XETG00123__0030916__TIS06055-001-015__20240801__192724.zip: Xenium Ranger output for 471 gene custom panel on human tonsil section
DOI: 10.25574/26763
title: Chandra X-ray Observatory ObsId 26763

description: Probing energy-driven AGN winds in the brightest, non-lensed QSO at z&gt;3
DOI: 10.5281/zenodo.17088534
title: Dataset for Employing AI to Sort Plastic Waste by Brand
DOI: 10.5281/zenodo.17088535
title: Dataset for Employing AI to Sort Plastic Waste by Brand
DOI: 10.25574/26901
title: Chandra X-ray Observatory ObsId 26901

description: Examining the Variability of High-Redshift Jets
DOI: 10.25345/c56970b13
title: MassIVE MSV000099172 - Crude Extract vs Digested Extract for Withania somnifera (root)
title: Ethanolic extract of Withania somnifera (ashwagandha) root, digested in simulated gastrointestinal fluid with enzymes, was compared to the undigested root extract. Replicates include n=3.
DOI: 10.18739/a2mc8rj39
title: Model Data: Global implementation of MIMICS-CN applied in the soil biogeochemical testbed (2023)

description: These data document ecosystem biogeochemical responses from carbon-nitrogen and carbon-only versions of the Microbial-Mineral Carbon Stabilization Model (MIMICS) and Carnegie–Ames–Stanford Approach (CASA) soil biogeochemical models, Results are for steady-state pools and fluxes simulated at initialization and over the historical period (1901-2014). Boundary conditions for the soil biogeochemical testbed were generated by the Community Land Model, version 5 (CLM5) simulations using satellite phenology mode (SP) forced with data with the Global Soil Wetness Program, version 3 (GSWP3).
 Simulations are run at a nominal two degree resolution. Input data are daily resolution for the entire historical record (1901-2014). Model output includes annual mean states and fluxes. Additional daily mean results are reported for the first five and last five years of the simulation for four different model experiments (MIMICS-CN [carbon-nitrogen], MIMICS-C-only [carbon only], CASA-CN, and CASA-C-only). All file are in netcdf classic format.
DOI: 10.15482/usda.adc/29927285
title: Data from: Local and landscape features constrain the trait and taxonomic diversity of urban bees

description: Context. There is concern that urbanization threatens bees, a diverse group of economic importance. The impact of urbanization on bees is likely mediated by their phenotypic traits. Objectives. We examine how urban cover and resource availability at local and landscape scales influences both species taxonomic and functional diversity in bees.Methods. We used a combination of aerial netting and pan traps across six sampling periods to collect wild bees in 18 urban gardens spanning more than 125 km of the California central coast. We identified 3537 specimens to genus and, when possible, to species to obtain species richness and abundance at each site. For each species we measured a suite of bee traits, including body size, sociality, nesting location, nesting behavior, pollen-carrying structure, parasitism, and lecty.Results. We found that increased garden size was positively associated with bee species richness and abundance. Somewhat counterintuitively, we found that urban cover surrounding gardens (2 km) was positively associated with bee species richness. Urban cover was also associated with the prevalence of certain bee traits, such as bees that excavate nests over those who rent, and bees with non-corbiculate structures. We suggest that urban habitats such as gardens can host a high number of bee species, but urbanization selects for species with specific traits.Conclusions. These findings illustrate that local and landscape features both influence bee abundance, species richness, and the frequency of specific traits. We highlight the importance of trait-based approaches for assessing biodiversity in urban landscapes, and suggest conceptualizing urbanization as a process of habitat change rather than habitat loss.
DOI: 10.15482/usda.adc/29927285.v1
title: Data from: Local and landscape features constrain the trait and taxonomic diversity of urban bees

description: Context. There is concern that urbanization threatens bees, a diverse group of economic importance. The impact of urbanization on bees is likely mediated by their phenotypic traits. Objectives. We examine how urban cover and resource availability at local and landscape scales influences both species taxonomic and functional diversity in bees.Methods. We used a combination of aerial netting and pan traps across six sampling periods to collect wild bees in 18 urban gardens spanning more than 125 km of the California central coast. We identified 3537 specimens to genus and, when possible, to species to obtain species richness and abundance at each site. For each species we measured a suite of bee traits, including body size, sociality, nesting location, nesting behavior, pollen-carrying structure, parasitism, and lecty.Results. We found that increased garden size was positively associated with bee species richness and abundance. Somewhat counterintuitively, we found that urban cover surrounding gardens (2 km) was positively associated with bee species richness. Urban cover was also associated with the prevalence of certain bee traits, such as bees that excavate nests over those who rent, and bees with non-corbiculate structures. We suggest that urban habitats such as gardens can host a high number of bee species, but urbanization selects for species with specific traits.Conclusions. These findings illustrate that local and landscape features both influence bee abundance, species richness, and the frequency of specific traits. We highlight the importance of trait-based approaches for assessing biodiversity in urban landscapes, and suggest conceptualizing urbanization as a process of habitat change rather than habitat loss.
DOI: 10.15468/dd.k679x2
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.18739/a2gq6r43c
title: Model Code: Global implementation of MIMICS-CN applied in the soil biogeochemical testbed (2023)

description: Model code that implements coupled carbon-nitrogen biogeochemistry for Microbial-Mineral Carbon Stabilization Model (MIMICS) in the soil biogeochemical testbed. This configuration of the biogeochemical model testbed that allows us to investigate how an explicit representation of soil microbial activity in MIMICS, versus implicit representation of soil microbial activity in the Carnegie-Ames-Stanford Approach (CASA) soil biogeochemical models influences global plant productivity, and terrestrial carbon (C) and nitrogen (N) fluxes from 1901-2014. Key findings indicate that MIMICS-CN simulations show greater nitrogen limitation of plant productivity, which also increases soil organic matter turnover times. Results also show that Soil texture and litter quality affect prognostic soil carbon to nitrogen ratios that are simulated with MIMICS-CN.
DOI: 10.15482/usda.adc/29927255
title: Data from: The relationship between pollinator community and pollination services is mediated by floral abundance in urban landscapes

description: It is often argued that biodiversity and ecosystem functioning are linked by both habitat and species composition, and that this relationship is particularly critical for mobile ecosystem service providers. This may be especially true for pollinators, which are essential for the reproduction of the majority of flowering plant species, are highly mobile, and can exhibit dramatically different foraging behaviors across ecosystems. Understanding how habitat and community composition impact pollination is especially relevant in urban environments where pollinators can promote food security. We examined the relationships between local resource density, landscape composition, pollinator abundance and richness, and pollination services in an urban agricultural system spanning &gt;125 km of the California central coast. We used a replicated, experimental approach to evaluate the reproductive success of jalapeño peppers across urban gardens and conducted a greenhouse experiment to evaluate the benefits of insect-mediated pollination to pepper reproduction. In the greenhouse, we found that jalapeño fruit weight and seed number was significantly greater with insect-mediated pollination than without. In the field, we found that jalapeño seed number increased significantly with herbaceous (weed, crop, and ornamental) plant richness and the number of perennial trees and shrubs at the site level, but decreased with the amount of natural landscape cover. We also found that higher pollinator richness enhanced seed number in floral-dense gardens, likely due to the greater functional complementarity of a more diverse pollinator community. Furthermore, there was a positive relationship between pollinator abundance and seed number, but it weakened in gardens with more flowers, likely through lower per-plant pollinator visitation in the presence of competing floral resources.As in past studies, we found that mulch had a negative impact on pollinator abundance, highlighting that abiotic factors commonly managed by gardeners can directly impact ecosystem service providers. This study demonstrates that local conditions can significantly influence ecosystem service provision and that urban gardeners need to optimize for both pollinator richness and floral resource availability to achieve optimal pollination.