cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2knysz
title: CCDC 2373632: Experimental Crystal Structure Determination

description: Related Article: Elif Avcu Altıparmak, Özlem Uğuz Neli, Tülay Bal-Demirci, Namık Özdemir, Atıf Koca|2025|J.Mol.Struct.|1325|141035|doi:10.1016/j.molstruc.2024.141035
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: 10.5517/ccdc.csd.cc2llf7w
title: CCDC 2400988: Experimental Crystal Structure Determination

description: Related Article: Adrian-Alexandru Someşan, Thierry Roisnel, Yann Sarazin|2025|Dalton Trans.|54|482|doi:10.1039/D4DT03167A
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: 10.5517/ccdc.csd.cc2mx1sd
title: CCDC 2440034: Experimental Crystal Structure Determination

description: Related Article: Jinze Du, Xiaoying Fu, Siming Xie, Yue Wang, Hequan Yao, Yuli He|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c18000
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: 10.5517/ccdc.csd.cc2nfkj6
title: CCDC 2455898: Experimental Crystal Structure Determination

description: Related Article: Kaito Segawa, Masaki Yoshida, Hiroto Kise, Junichi Takayama, Satoshi Hiura, Akihiro Murayama, Satoki Okabayashi, Motohiro Tsuboi, Takashi Tachikawa, Ken Onda, Masako Kato|2025|Angew.Chem.,Int.Ed.|64|e202513282|doi:10.1002/anie.202513282
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: 10.60521/332614
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM302) acquired during E/V Nautilus expedition NA169 (2024)

description: This data set was acquired with a Kongsberg EM302 Multibeam Sonar during E/V Nautilus expedition NA169 conducted in 2024. These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Ocean Exploration Trust and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1). Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA19OAR4320072.
DOI: 10.60521/332648
title: Processed Gridded Bathymetry Data (EM302) acquired during E/V Nautilus expedition NA169 (2024)

description: This data set was acquired with a Kongsberg EM302 Multibeam Sonar during E/V Nautilus expedition NA169 conducted in 2024. These data files are of GeoTIFF (Raster) format and include Bathymetry data that were processed after acquisition. Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA19OAR4320072.
DOI: 10.60521/332649
title: Processed Gridded Acoustic Backscatter Data (EM302) acquired during E/V Nautilus expedition NA169 (2024)

description: This data set was acquired with a Kongsberg EM302 Multibeam Sonar during E/V Nautilus expedition NA169 conducted in 2024. These data files are of GeoTIFF (Raster) format and include Acoustic Backscatter data that were processed after acquisition. Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA19OAR4320072.
DOI: 10.60521/332652
title: Google Earth files of Acoustic Backscatter and Bathymetry Data (EM302) acquired during E/V Nautilus expedition NA169 (2024)

description: This data set was acquired with a Kongsberg EM302 Multibeam Sonar during E/V Nautilus expedition NA169 conducted in 2024. These data files are of Google Earth (KML/KMZ) format and include Acoustic Backscatter and Bathymetry data that were processed after acquisition. Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA19OAR4320072.
DOI: 10.60521/332653
title: Dive Documentation acquired during E/V Nautilus expedition NA169 (2024)

description: This data set was acquired with an Ocean Exploration Trust Hercules Event Logger on ROV Hercules during E/V Nautilus expedition NA169 conducted in 2024. These data files are of Text File (ASCII) format and include Documentation. Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA19OAR4320072.
DOI: 10.60521/332654
title: ROV Hercules Navigation Data acquired during E/V Nautilus expedition NA169 (2024)

description: This data set was acquired with a Navigation System on ROV Hercules during E/V Nautilus expedition NA169 conducted in 2024. These data files are of Text File (ASCII) format and include Navigation data that have not been processed. Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA19OAR4320072.
DOI: 10.60521/332655
title: Dive Documentation acquired during E/V Nautilus expedition NA169 (2024)

description: This data set was acquired with a Navigation System on ROV Hercules during E/V Nautilus expedition NA169 conducted in 2024. These data files are of Text File (ASCII) format and include Documentation. Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA19OAR4320072.
DOI: 10.60521/332656
title: Processed Google Earth Visualization Data acquired during E/V Nautilus expedition NA169 (2024)

description: This data set was acquired with a Navigation System on ROV Hercules during E/V Nautilus expedition NA169 conducted in 2024. These data files are of Google Earth (KML/KMZ) format and include Google Earth Visualization data that were processed after acquisition. Data were acquired as part of the project: NOAA Ocean Exploration Cooperative Institute (OECI). Funding was provided by: NA19OAR4320072.
DOI: 10.25824/redu/cltkxp
title: Dataset associated with the thesis "Assinaturas transcriptômicas de Leishmania amazonensis parasitando diferentes células hospedeiras"

description: Transcriptomic data of axenic amastigotes and different host cells (BMDM macrophages and 3T3-L1 fibroblasts) infected with Leishmania amazonensis PH8 amastigotes.
DOI: 10.48324/dandi.001543/0.260130.1715
title: Neurovascular impulse response function (IRF) during spontaneous activity differentially reflects intrinsic neuromodulation across cortical regions

description: Ascending neuromodulatory projections from deep brain nuclei generate internal brain states that differentially engage specific neuronal cell types. Because neurovascular coupling is cell-type specific and neuromodulatory transmitters have vasoactive properties, we hypothesized that the impulse response function (IRF) linking spontaneous neuronal activity with hemodynamics would depend on neuromodulation. Here, we use widefield cortical imaging to observe the resting state relationship between population level neuronal Ca2+ activity, fluctuations in oxygenation and concentration of hemoglobin, and release of the vasoactive neuromodulators Norepinephrine (NE) and Acetylcholine (ACh). First, the IRF linking neuronal activity and the hemodynamic response failed to predict hemodynamic fluctuations during periods marked by higher arousal (high NE and pupil diameter). Second, hemodynamic fluctuations were well predicted by a regression model factoring in both Ca2+ activity and NE release. Third, Ca2+ and hemodynamic functional connectivity patterns diverged during periods of high arousal. Without accounting for NE neuromodulation and the associated vasoconstriction, diminished hemodynamic coherence, commonly referred to as “functional (dys)connectivity” in BOLD fMRI studies, can be falsely interpreted as neuronal desynchronizations.
DOI: 10.5281/zenodo.18434285
title: WAYS TO INCREASE REAL ESTATE VALUE WITH ACCURATE MARKET VALUATION

description: This study examines effective ways to improve the accuracy of determining the market value of real estate properties. The research places particular emphasis on in-depth market analysis, expanding the database of comparable transactions, the correct application of income and cost approaches, and the use of modern information technologies in the valuation process. In addition, the influence of such factors as location characteristics, infrastructure development, legal status, and the physical condition of the property on its market value is analyzed. The results of the study are of practical significance for appraisers, investors, and professionals operating in the real estate market.
DOI: 10.5281/zenodo.18434284
title: WAYS TO INCREASE REAL ESTATE VALUE WITH ACCURATE MARKET VALUATION

description: This study examines effective ways to improve the accuracy of determining the market value of real estate properties. The research places particular emphasis on in-depth market analysis, expanding the database of comparable transactions, the correct application of income and cost approaches, and the use of modern information technologies in the valuation process. In addition, the influence of such factors as location characteristics, infrastructure development, legal status, and the physical condition of the property on its market value is analyzed. The results of the study are of practical significance for appraisers, investors, and professionals operating in the real estate market.
DOI: 10.5281/zenodo.18413872
title: ICON tracked deep convective cloud statistics and data accompanying the manuscript "Convective controls on anvil cloud evolution in the ICON km-scale global climate model"

description: Datasets accompanying the manuscript "Convective controls on anvil cloud evolution in the ICON km-scale global climate model" by Mathilde Ritman, William K Jones and Philip Stier, which is to be submitted to Atmospheric Chemistry and Physics (ACP).

The folder 'dcc_statistics' contains netCDF files of deep convective cloud properties for systems tracked in the ICON km-scale climate simulation published by the NExtGEMs project (production run 4008) over the Amazon region (-83 to -83°E and -15 to 15°N) for the model week 1-8 July 2021.

The folder 'w_histograms' contains NumPy files recording histograms of 500 hPa vertical velocities above different thresholds for random times sampled over the same simulation subset. The thresholds used are specified in the associated manuscript.

The file 'system_validity' records data used to filter valid from invalid systems from the full dataset of tracked deep convective clouds.

The file 'what_got_tracked' contains the total amount of updrafts and anvils identified and tracked by the method developed in the associated manuscript.

The remaining files contain data used to produce the figures presented in the manuscript.
DOI: 10.5281/zenodo.18413874
title: ICON tracked deep convective cloud statistics and data accompanying the manuscript "Convective controls on anvil cloud evolution in the ICON km-scale global climate model"

description: Datasets accompanying the manuscript "Convective controls on anvil cloud evolution in the ICON km-scale global climate model" by Mathilde Ritman, William K Jones and Philip Stier, which is to be submitted to Atmospheric Chemistry and Physics (ACP).

The folder 'dcc_statistics' contains netCDF files of deep convective cloud properties for systems tracked in the ICON km-scale climate simulation published by the NExtGEMs project (production run 4008) over the Amazon region (-83 to -83°E and -15 to 15°N) for the model week 1-8 July 2021.

The folder 'w_histograms' contains NumPy files recording histograms of 500 hPa vertical velocities above different thresholds for random times sampled over the same simulation subset. The thresholds used are specified in the associated manuscript.

The file 'system_validity' records data used to filter valid from invalid systems from the full dataset of tracked deep convective clouds.

The file 'what_got_tracked' contains the total amount of updrafts and anvils identified and tracked by the method developed in the associated manuscript.

The remaining files contain data used to produce the figures presented in the manuscript.
DOI: 10.5281/zenodo.18434242
title: How the 2025 NIH grant terminations varied by researchers' demographic groups

description: The dataset shared here was used in the study “How the 2025 NIH grant terminations varied by researchers’ demographic groups,” published as a Brief Report in the Proceedings of the National Academy of Sciences (PNAS). The article was authored by Diego F. M. Oliveira, Qian Huang, Teresa K. Woodruff, and Brian Uzzi and published in 2026.
DOI: 10.5281/zenodo.18434241
title: How the 2025 NIH grant terminations varied by researchers' demographic groups

description: The dataset shared here was used in the study “How the 2025 NIH grant terminations varied by researchers’ demographic groups,” published as a Brief Report in the Proceedings of the National Academy of Sciences (PNAS). The article was authored by Diego F. M. Oliveira, Qian Huang, Teresa K. Woodruff, and Brian Uzzi and published in 2026.
DOI: 10.6084/m9.figshare.31211934
title: Pig finishing buildings and broiler chicken barns contribution to outdoor airborne microbiota and antibiotic-resistance genes: From the source to the farms surroundings

description: Mechanically ventilated livestock operations continuously emit bioaerosols containing bacteria and antimicrobial resistance genes (ARGs), yet their environmental dispersion remains poorly characterized. This study assessed the characterization of airborne microbial and ARG markers from two pig finishing buildings (PFBs) and two broiler chicken barns (BCBs) across a one-kilometer distance gradient. Air samples were analyzed for microbial and ARG concentrations and bacterial diversity. A one-phase exponential decay model revealed a rapid decline in airborne concentrations within the first 10 meters from the source, with half-distances generally below 10 meters. Despite differences in animal species and husbandry conditions, reduction rates were similar across farm types, suggesting consistent physical dispersion processes. Microbial diversity indices did not vary significantly with distance, but the relative abundance of bacterial genera showed shifts in community structures along the distance gradient. Bacteria profiles around farms were different from those compared to control sites. Network analyses revealed denser ARG-bacteria associations in PFBs, particularly involving tetracyclines and macrolides resistances, compared to BCBs. These findings suggest that emitted bioaerosols can persist beyond immediate farm boundaries and contribute to background environmental levels. This study highlights the importance of including air in surveillance programs and supports the need for integrated One Health approaches to better understand and mitigate the environmental spread of pathogens and antimicrobial resistance.
DOI: 10.6084/m9.figshare.31211934.v1
title: Pig finishing buildings and broiler chicken barns contribution to outdoor airborne microbiota and antibiotic-resistance genes: From the source to the farms surroundings

description: Mechanically ventilated livestock operations continuously emit bioaerosols containing bacteria and antimicrobial resistance genes (ARGs), yet their environmental dispersion remains poorly characterized. This study assessed the characterization of airborne microbial and ARG markers from two pig finishing buildings (PFBs) and two broiler chicken barns (BCBs) across a one-kilometer distance gradient. Air samples were analyzed for microbial and ARG concentrations and bacterial diversity. A one-phase exponential decay model revealed a rapid decline in airborne concentrations within the first 10 meters from the source, with half-distances generally below 10 meters. Despite differences in animal species and husbandry conditions, reduction rates were similar across farm types, suggesting consistent physical dispersion processes. Microbial diversity indices did not vary significantly with distance, but the relative abundance of bacterial genera showed shifts in community structures along the distance gradient. Bacteria profiles around farms were different from those compared to control sites. Network analyses revealed denser ARG-bacteria associations in PFBs, particularly involving tetracyclines and macrolides resistances, compared to BCBs. These findings suggest that emitted bioaerosols can persist beyond immediate farm boundaries and contribute to background environmental levels. This study highlights the importance of including air in surveillance programs and supports the need for integrated One Health approaches to better understand and mitigate the environmental spread of pathogens and antimicrobial resistance.
DOI: 10.6084/m9.figshare.31211937.v1
title: Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent

description: With the fast development of big data, learning the optimal decision rule by recursively updating it and making online decisions has been easier than before. We study the online statistical inference of model parameters in a contextual bandit framework of sequential decision-making. We propose a general framework for an online and adaptive data collection environment that can update decision rules via weighted stochastic gradient descent. We allow different weighting schemes of the stochastic gradient and establish the asymptotic normality of the parameter estimator. Our proposed estimator significantly improves the asymptotic efficiency over the previous averaged SGD approach via inverse probability weights. We also conduct an optimality analysis on the weights in a linear regression setting. We provide a Bahadur representation of the proposed estimator and show that the remainder term in the Bahadur representation entails a slower convergence rate compared to classical SGD due to the adaptive data collection.
DOI: 10.6084/m9.figshare.31211937
title: Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent

description: With the fast development of big data, learning the optimal decision rule by recursively updating it and making online decisions has been easier than before. We study the online statistical inference of model parameters in a contextual bandit framework of sequential decision-making. We propose a general framework for an online and adaptive data collection environment that can update decision rules via weighted stochastic gradient descent. We allow different weighting schemes of the stochastic gradient and establish the asymptotic normality of the parameter estimator. Our proposed estimator significantly improves the asymptotic efficiency over the previous averaged SGD approach via inverse probability weights. We also conduct an optimality analysis on the weights in a linear regression setting. We provide a Bahadur representation of the proposed estimator and show that the remainder term in the Bahadur representation entails a slower convergence rate compared to classical SGD due to the adaptive data collection.
DOI: 10.6084/m9.figshare.31212003
title: Double-Robust Small Area Estimation

description: In the context of robust small area estimation (SAE), there are two types of robustness considerations, robustness against model misspecification and robustness against outliers. We propose a method of SAE that has both types of robustness features. The method combines the idea of observed best prediction (OBP), which is known to be more robust against model misspecification than the traditional best linear unbiased prediction (EBLUP) method, and the method of density power divergence (DPD), which is known to be more robust against outliers than the EBLUP. The double robust predictor (DRP) is developed under an area-level model with normal or normal-mixture sampling errors, and under a unit-level model. Another advantage of the DRP method is that it provides an natural estimator of a tuning parameter involved in the DPD. We develop theory about the proposed method, and demonstrate empirical performance of the proposed DRP and its comparison to EBLUP, OBP, a robust version of the EBLUP, and predictors based on the DPD. A second-order unbiased estimator of the mean squared prediction error of the DRP is developed and its performance is evaluated. A real-data example is discussed.
DOI: 10.6084/m9.figshare.31212003.v1
title: Double-Robust Small Area Estimation

description: In the context of robust small area estimation (SAE), there are two types of robustness considerations, robustness against model misspecification and robustness against outliers. We propose a method of SAE that has both types of robustness features. The method combines the idea of observed best prediction (OBP), which is known to be more robust against model misspecification than the traditional best linear unbiased prediction (EBLUP) method, and the method of density power divergence (DPD), which is known to be more robust against outliers than the EBLUP. The double robust predictor (DRP) is developed under an area-level model with normal or normal-mixture sampling errors, and under a unit-level model. Another advantage of the DRP method is that it provides an natural estimator of a tuning parameter involved in the DPD. We develop theory about the proposed method, and demonstrate empirical performance of the proposed DRP and its comparison to EBLUP, OBP, a robust version of the EBLUP, and predictors based on the DPD. A second-order unbiased estimator of the mean squared prediction error of the DRP is developed and its performance is evaluated. A real-data example is discussed.
DOI: 10.18130/v3/sqv0gq
title: 3D Bar Graph

description: Physical bar graph for representing categorical data.
DOI: 10.7910/dvn/edzhbf
title: Implementation Constraints on natural climate solutions

description: Implementation constraints data on natural climate solutions.
DOI: 10.5281/zenodo.18434345
title: THE TREATMENT OF THE ORAL MUCOSA IN CHRONIC RECCURENT APHTHOUS STOMATITIS

description: Chronic recurrent aphthous stomatitis is an inflammatory disease of the SOPR, characterized by the appearance of aphthous lesions, a long course with periodic relapses and is often accompanied by diseases of the gastrointestinal tract.  Chronic cholecystitis is an inflammatory disease of the gallbladder wall. It develops due to the formation of gallstones in the gallbladder, which leads to stagnation of bile. Periodically occurring and passing inflammations lead to changes in the wall of the gallbladder with the development of chronic calculous cholecystitis in it. Along with the general clinical signs of chronic calculous cholecystitis, changes in the oral mucosa develop.