cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13026/vw06-hz66
title: Heart and lung segmentations for MIMIC-CXR/MIMIC-CXR-JPG and Montgomery County TB databases

description: Segmenting the heart and lungs from chest X-ray images is essential for
accurate disease diagnosis, enabling the calculation of image-derived digital
biomarkers for cardiopulmonary health assessment. Furthermore, creation of
annotated data sets can enhance development of machine learning applications
in disease detection, reduce image noise for better clarity, or promote
standardization for tracking disease progression or treatment effects.
Generation of manual segmentations is time intensive process and it also
requires access to trained medical professionals to verify the quality and
accuracy of the scans. Originally made to train heart and lung
segmentation/detection models for cardiomegaly diagnosis, the manual
segmentations in this data paper are published here in hope of aiding
development of AI models relating to heart and lungs identification in chest
X-rays. This database presents the heart and lung segmentations for 200 semi-
randomly chosen MIMIC-CXR/MIMIC-CXR-JPG posterior-anterior chest X-rays for
the purpose of training detection and segmentation networks. Additionally, it
contains the heart segmentations for the 138 posterior-anterior chest X-rays
in the Montgomery Country tuberculosis database.
DOI: 10.13026/0k35-mb65
title: Heart and lung segmentations for MIMIC-CXR/MIMIC-CXR-JPG and Montgomery County TB databases

description: Segmenting the heart and lungs from chest X-ray images is essential for
accurate disease diagnosis, enabling the calculation of image-derived digital
biomarkers for cardiopulmonary health assessment. Furthermore, creation of
annotated data sets can enhance development of machine learning applications
in disease detection, reduce image noise for better clarity, or promote
standardization for tracking disease progression or treatment effects.
Generation of manual segmentations is time intensive process and it also
requires access to trained medical professionals to verify the quality and
accuracy of the scans. Originally made to train heart and lung
segmentation/detection models for cardiomegaly diagnosis, the manual
segmentations in this data paper are published here in hope of aiding
development of AI models relating to heart and lungs identification in chest
X-rays. This database presents the heart and lung segmentations for 200 semi-
randomly chosen MIMIC-CXR/MIMIC-CXR-JPG posterior-anterior chest X-rays for
the purpose of training detection and segmentation networks. Additionally, it
contains the heart segmentations for the 138 posterior-anterior chest X-rays
in the Montgomery Country tuberculosis database.
DOI: 10.3886/e193325v1
title: Bilingualism, Language, and Variability Effects on Word-Learning

description: Research has shown that children can discover relationships between words and meanings in ambiguous scenarios by aggregating co-occurring statistics over time – a process termed cross-situational word learning (XSWL). In the present study, we examined whether length of bilingual experience and language ability would contribute to XSWL performance under low and high variability conditions in a group of Spanish-English bilingual school-aged children. Results revealed graded effects of bilingualism and language ability on XSWL performance under conditions of increased variability. In a high variability condition, word-learning performance significantly decreased as children’s length of bilingual experience and language skills decreased. Input variability did not influence word-learning performance for children with greater levels of bilingual experience. However, for children with higher levels of language ability, input variability improved word-learning performance. Together, the results suggest that variation in the learner and variation in the input interact and modulate mechanisms of lexical learning in children.
DOI: 10.25345/c5bc3t732
title: MassIVE MSV000092651 - GNPS Untargeted metabolomic profiling using gas chromatography mass spectrometry (GC-MS), trimethylsilyl (TMS) derivatization and sample preparation using vapor phase extraction (VPE) to compare 45 plant species.
title: A untargeted GC-MS comparison of ariel tissues from 45 plant species each with 4 biological replicates (45 x 4 = 180 samples). Samples were spiked with 13 fatty acid methyl ester (FAME) standards (C8, 9, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30) (final target concentration 1 ng / microliter injected) for consideration of retention indexes and derivatized with N-methyl-N-(trimethylsilyl)trifluoroacetamide (MSTFA). Furthermore, a separate alkane standard (C7-C40) was included where C10-C37 are detectable for the cross referencing and consideration of established Kovats retention indices. More specifically, plant tissue samples (10 mg each) were finely ground in liquid nitrogen and extracted directly into 1 mL of 1-butanol:acetonitrile:water (3: 1: 1) as per Muehlbauer et al., 2023 (DOI: 10.1021/acs.analchem.2c02042). A 50 microliter aliquot (500 microgram sample equivalent) was taken, freeze dried, derivatized in 100 microliters of acetonitrile: pyridine: MSTFA (2:1:1) and collected using modifications to an established vapor phase extraction protocol (Schmelz et al., 2004: DOI: 10.1111/j.1365-313X.2004.02168.x). Analytes collected as volatiles were eluted from the polymeric absorbent traps using 200 microliters of hexane: methylene chloride: pyridine: MSTFA (7.2: 0.8: 1: 1) and analyzed on a 30 m long Agilent 95% dimethyl/5% diphenyl polysiloxane J&W DB-5MS column (0.25 mm internal diameter, 0.25 um film, with 10 m empty DuraGuard guard column) as outlined by Fiehn, 2016 (DOI: 10.1002/0471142727.mb3004s114).
DOI: 10.5517/ccdc.csd.cc2ftc6v
title: CCDC 2258697: Experimental Crystal Structure Determination

description: Related Article: Fanxi Sun|2023|CSD Communication|||
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.cc2ftcbz
title: CCDC 2258701: Experimental Crystal Structure Determination

description: Related Article: Fanxi Sun|2023|CSD Communication|||
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.cc2ftck6
title: CCDC 2258708: Experimental Crystal Structure Determination

description: Related Article: Fanxi Sun|2023|CSD Communication|||
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.cc2ftcl7
title: CCDC 2258709: Experimental Crystal Structure Determination

description: Related Article: Fanxi Sun|2023|CSD Communication|||
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.cc2ftcm8
title: CCDC 2258710: Experimental Crystal Structure Determination

description: Related Article: Fanxi Sun|2023|CSD Communication|||
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.cc2ftcn9
title: CCDC 2258711: Experimental Crystal Structure Determination

description: Related Article: Fanxi Sun|2023|CSD Communication|||
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.cc2fw4q6
title: CCDC 2260418: Experimental Crystal Structure Determination

description: Related Article: Jens Näth, Kurt Eger, Peter Lönnecke, Evamarie Hey-Hawkins|2023|CSD Communication|||
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.cc2fw4r7
title: CCDC 2260419: Experimental Crystal Structure Determination

description: Related Article: Jens Näth, Kurt Eger, Peter Lönnecke, Evamarie Hey-Hawkins|2023|CSD Communication|||
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.cc2fw4s8
title: CCDC 2260420: Experimental Crystal Structure Determination

description: Related Article: Jens Näth, Kurt Eger, Peter Lönnecke, Evamarie Hey-Hawkins|2023|CSD Communication|||
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: 10.5281/zenodo.8246834
title: Simulated electronic properties of [Cr], [Mn]+ and [Fe]2+

description: Simulated ground and excited state propeties of the three isoelectronic complexes [Cr] (Nat. Chem., 2023, DOI: 10.1038/s41557-023-01297-9), [Mn]+ and [Fe]2+ as obtained at the B3LYP/def2svp level of theory within THF (PCM). The folder of each complex contains the charge density differences (CDDs) of dipole-allowed transitions contrubuting to the electronic absorption, as well as key molecular frontier orbitals (exclusively for [Cr]). The spin density of the relaxed triplet ground state (T1) and CDDs of spin and dipole allowed triplet-triplet transitions are given. These transitions are correlated to the excited-state absorption signals as investigated by transient absorption spectroscopy. All fully relaxed equilibrium structures, i.e., S0 and T1 are given as xyz files within the respective folders.
DOI: 10.5281/zenodo.8246833
title: Simulated electronic properties of [Cr], [Mn]+ and [Fe]2+

description: Simulated ground and excited state propeties of the three isoelectronic complexes [Cr] (Nat. Chem., 2023, DOI: 10.1038/s41557-023-01297-9), [Mn]+ and [Fe]2+ as obtained at the B3LYP/def2svp level of theory within THF (PCM). The folder of each complex contains the charge density differences (CDDs) of dipole-allowed transitions contrubuting to the electronic absorption, as well as key molecular frontier orbitals (exclusively for [Cr]). The spin density of the relaxed triplet ground state (T1) and CDDs of spin and dipole allowed triplet-triplet transitions are given. These transitions are correlated to the excited-state absorption signals as investigated by transient absorption spectroscopy. All fully relaxed equilibrium structures, i.e., S0 and T1 are given as xyz files within the respective folders.
DOI: 10.6073/pasta/d6e88492c91dcc16370ab55f34613686
title: Coastal marine megaripple fields are metabolic hotspots - Data for figures and tables

description: This dataset contains the data used to create figures 2-5 in the paper: Berg, P. in press. Coastal marine megaripple fields are metabolic hotspots with highly dynamic oxygen exchange. L&O Letters (publication expected in 2023). Details on the nature of the data and how it was collected are included in the paper.
DOI: 10.5066/p9fjxd7z
title: Digitized sonic velocity and density log data of Central Coast Ranges, California

description: Sonic velocity and density well logs in the Central Coast Ranges in California were digitized by hand. These logs are available as scanned files (pdfs and tiffs) on the California Division of Oil, Gas, and Geothermal Resources website and the data consist of interval transit times and bulk density measured downhole in oil and gas wells in the region. Sonic velocity data were also compiled from a number of sources. A summary table provides basic information of these wells, available on the California Division of Oil, Gas, and Geothermal Resources website.
DOI: 10.5066/p93aih4c
title: Entry and spread of specialist and generalist infectious hematopoietic necrosis virus (IHNV) genotypes in Chinook salmon, steelhead and sockeye salmon

description: Infectious hematopoietic necrosis virus (IHNV) represents one of the most critical challenges for salmonids in the Pacific Northwest. There are three genogroups of IHNV, designated U, M, and L; the U is further delineated into two subgroups, UC and UP, and the M is further delineated into four subgroups (MA ? MD). The UP, UC and MD subgroups co-occur in the Columbia River Basin where the host species sockeye salmon, Chinook salmon, and steelhead trout spawn and rear. Field prevalence data shows that UC viruses exhibit a generalist strategy in Chinook, and steelhead, while two other virus lineages, MD and UP, are more consistent with being specialists in steelhead or sockeye salmon, respectively. The L is found in Northern California and is considered a specialist of Chinook salmon. This study sought to understand early entry and replication of the specialist and generalist IHNV strains in three salmonid hosts. Chinook, steelhead and sockeye were exposed by immersion to their specialist viruses (L, MD and UP, respectively) and to the generalist UC virus. As controls, these hosts were also exposed to buffer (mock control) and IHNV variants that were not specialist for their species (non-specialists). Mortality was monitored throughout the experiments. Fish were sampled at early timepoints post-infection (2, 5, and 8 days post-exposure). Kidney and fin tissues were taken to represent external and internal tissues, respectively. Viral load was assessed by reverse transcriptase quantitative PCR (RT-qPCR) targeting the nucleocapsid (N) gene of IHNV. Additional fish from each experimental group were sampled for histopathology but only a subset were processed and analyzed.
DOI: 10.6073/pasta/a7b40e41080460bb1123dcc7b6d4d942
title: WPE01 Assessing the value added of NEON for using machine learning to quantify vegetation mosaics and woody plant encroachment at Konza Prairie

description: Woody encroachment, or invasion of woody plants, is rapidly shifting tallgrass prairie into shrub and evergreen dominated ecosystems, mainly due to exclusion of fire. Tracking the pace and extent of woody encroachment is difficult because shrubs and small trees are much smaller than the coarse resolution (&gt;10m2) of common remote sensed images. However, the US government has been investing in finer resolution (&lt;2m2) remote sensing through USDA NAIP and the National Ecological Observatory Network (NEON), both of which cost multi-million dollars each year and contain different remote sensed products. We compared two methods of classification (random forests and support vector machines) with these two freely available remotely sensed aerial images to determine if and how much NEON adds to classification accuracy and determine which method of machine learning was more accurate. All models have very high overall classification accuracy (&gt;91%), with the NEON image a few percent more accurate than NAIP. The NEON image significantly relies on canopy height (LiDAR) to make classifications, but the importance of bands is more evenly distributed during NAIP classification. Lastly, accuracy for Eastern Red Cedar specifically is high with NEON (78-84%), compared to the relatively low classification accuracy using NAIP imagery (55-61%).
DOI: 10.6084/m9.figshare.23948760
title: PRISMA_2020_checklist.pdf

description: The present systematic review was carried out with the objective of deepening the indiscriminate use of benzodiazepines against depression and anxiety in older adults. Our research question was: What are the characteristics of older adults suffering from anxiety and depression, treated with benzodiazepines? This systematic review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The evidence was generated through the bibliographic review of research in databases of electronic journals such as Scopus, Dialnet, Pubmed, Continental Repository, and Google Academic. The key search terms were: benzodiazepines, the elderly, and anxiety. It was determined that both anxiety and depression are mental disorders caused by different physical, economic, social and environmental factors. Likewise, the consequences of the misuse of these drugs were identified, ranging from irreversible cognitive deterioration to dependence in older adults who consume benzodiazepines
DOI: 10.6073/pasta/f08ccb944984eafa389d8f91e872e598
title: Interagency Ecological Program: Monitoring of water quality, phytoplankton, zooplankton, clams, and fish to support the Summer-Fall Suisun Marsh Salinity Control Gates Action 2018-2022

description: The Suisun Marsh Salinity Control Gates (SMSCG) have the potential to increase low-salinity-zone habitat for endangered Delta Smelt (Hypomesus transpacificus, California Endangered Species Act listed as Endangered, Federal Endangered Species Act listed as Threatened), and to allow them to more frequently occupy Suisun Marsh, especially Montezuma Slough, one of their most important rearing habitats. Operation of the SMSCG in summer and fall to improve Delta Smelt habitat are called for in the Biological Opinion and Incidental Take permit for the Central Valley Project and State Water Project. To support the adaptive management of the action, the California Department of Water Resources and collaborating agencies monitored water quality, phytoplankton, zooplankton, clams, and fishes during the SMSCG management action in 2018 and subsequent summer and fall months of non-action years (2019-2022). This data package includes data collected by the Interagency Ecological Program’s (IEP) long-term monitoring programs supplemented with targeted sample collection where existing surveys lacked spatial or temporal coverage. Monitoring during no-action years will be used as a baseline for comparison during action years. This data package will be updated annually during both action years and non-action years.
DOI: 10.34740/kaggle/dsv/6303327
title: Balochi Language to English Translation Dataset
DOI: 10.6084/m9.figshare.23948895
title: Herp Transect Surveys

description: 200m transects walked by a single observer, noting species identity, distance to transect line, and additional habitat use data. Full methods description included as metadata readme document.
DOI: 10.5281/zenodo.8247607
title: UK Electricity consumption time-series from Elexon data portal (Actual Total Load Per Bidding Zone)

description: Data from 2015-01-01 to 2023-08-10. Downloaded using ElexonDataPortal for Python. Dataset B0610 – Actual Total Load per Bidding Zone: https://www.elexon.co.uk/documents/bmrs-api-and-data-push-guide-for-p408/
DOI: 10.5281/zenodo.8247606
title: UK Electricity consumption time-series from Elexon data portal (Actual Total Load Per Bidding Zone)

description: Data from 2015-01-01 to 2023-08-10. Downloaded using ElexonDataPortal for Python. Dataset B0610 – Actual Total Load per Bidding Zone: https://www.elexon.co.uk/documents/bmrs-api-and-data-push-guide-for-p408/
DOI: 10.5517/ccdc.csd.cc2fw4t9
title: CCDC 2260421: Experimental Crystal Structure Determination

description: Related Article: Jens Näth, Kurt Eger, Peter Lönnecke, Evamarie Hey-Hawkins|2023|CSD Communication|||
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.cc2fwf3w
title: CCDC 2260678: Experimental Crystal Structure Determination

description: Related Article: Joel Mague, Sanae Lahmidi|2023|CSD Communication|||
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.cc2fykgf
title: CCDC 2262735: Experimental Crystal Structure Determination

description: Related Article: Myung-Ho Choi, Tae Hwan Moon, Yunseung Kuk, Kang Min Ok|2023|Inorg.Chem.|62|12058|doi:10.1021/acs.inorgchem.3c01573
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.cc2gr48n
title: CCDC 2286351: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2023|CSD Communication|||
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.cc2gr49p
title: CCDC 2286352: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2023|CSD Communication|||
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: 10.5281/zenodo.8247083
title: Replication package for: "Tail Risk in Production Networks"

description: Full set of files to replicate tables and figures from "Tail Risk in Production Networks".
DOI: 10.5281/zenodo.8247084
title: Replication package for: "Tail Risk in Production Networks"

description: Full set of files to replicate tables and figures from "Tail Risk in Production Networks".