cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/e7f0c91851ab2c5f41a05dfb69bd32d1
title: Interagency Ecological Program: Phytoplankton monitoring in the Sacramento-San Joaquin Bay-Delta, collected by the Environmental Monitoring Program, 2008-2022

description: The State Water Resources Control Board (SWRCB) sets water quality objectives to protect beneficial uses of water in the Sacramento-San Joaquin Delta and Suisun Bay. These objectives are met by establishing standards mandated in water right permits issued to the Department of Water Resources and U.S. Bureau of Reclamation by the SWRCB. The standards include minimum Delta outflows, limits to Delta water export by the State Water Project (SWP) and the Central Valley Project (CVP), and maximum allowable salinity levels. In 1971, the State Water Resources Control Board (SWRCB) established Water Right Decision 1379 (D-1379). This Decision contained new water quality requirements for the San Francisco Bay-Delta Estuary. D-1379 was also the first water right decision to provide terms and conditions for a comprehensive monitoring program to routinely determine water quality conditions and changes in environmental conditions within the estuary. The monitoring program described in D-1379 was developed by the Stanford Research Institute through a contract with the SWRCB. Implementation of the monitoring program began in 1972, as SWRCB, DWR, and USBR met to define their individual responsibilities for various elements of the monitoring program. In 1978, amendments to water quality standards were implemented and resulted in Water Right Decision 1485 (D-1485). More recently these standards were again amended under the 1995 Water Quality Control Plan and Water Right Decision 1641 (D-1641) established in 1999. The SWP and CVP are currently operated to comply with the monitoring and reporting requirements described in D-1641. D-1641 requires DWR and USBR to conduct a comprehensive environmental monitoring program to determine compliance with the water quality standards and also to submit an annual report to SWRCB discussing data collected. The phytoplankton monitoring program is one element of DWR’s and USBR’s Environmental Monitoring Program (EMP) conducted under the Interagency Ecological Program (IEP) umbrella. The EMP also includes monitoring of water quality, zooplankton, and benthic organisms. The overall objective of the phytoplankton monitoring program is to determine the impacts of water project operations on the estuary. These impacts are interpreted by changes in phytoplankton diversity, abundance, and distribution associated with physical and other biological factors in the estuary. Links to other EMP datasets can be found [here](https://emp-des.github.io/emp-reports/data-links.html).
DOI: 10.6084/m9.figshare.24503671.v3
title: Correlation of<b> </b>therapeutic pressure between home automatic positive airway pressure and in laboratory polysomnography manual titration in patients with obstructive sleep apnea

description: Data set of study entitled correlation of<b> </b>therapeutic pressure between home automatic positive airway pressure and in laboratory polysomnography manual titration in patients with obstructive sleep apnea
DOI: 10.6084/m9.figshare.28130060
title: Supplementary Material for: 5-methoxytryptophan protects against toll-like receptor 2 mediated renal tissue inflammation and fibrosis in a murine unilateral ureteral obstruction model

description: Introduction: 5-methoxytryptophan (5-MTP) is an anti-inflammatory metabolite. Several recent reports indicate that 5-MTP protects against post-injury tissue fibrosis. It was unclear how 5-MTP controls tissue fibrosis. We postulated that 5-MTP attenuates renal interstitial fibrosis by blocking toll-like receptor 2 (TLR2) and transforming growth factor β (TGFβ) signaling pathways. Methods: The effect of 5-MTP on renal fibrosis was evaluated by pretreatment of wild-type UUO mice with intraperitoneal administration of 5-MTP. To determine whether 5-MTP attenuates fibrosis by inhibiting TLR2 and TGFβ signaling pathways, we evaluated the effect of 5-MTP on TLR2-induced fibroblast phenotypic switch in NRK-49F fibroblasts and TLR2 and TGFβ signaling pathways in human proximal tubular epithelial cells (HPTEC) and RAW264.7 macrophages stimulated with Pam3CSK4 (Pam3) or TGFβ1. Results: UUO-induced renal fibrosis was abrogated in tlr2-/- mice consistent with a crucial role of TLR2 in UUO-induced renal fibrosis. UUO-induced macrophage infiltration and pro-fibrotic cytokine production in renal tissues were suppressed by tlr2 knockout. 5-MTP attenuated renal tissue fibrosis accompanied by reduction of macrophage infiltration and IL-6 and TGFβ levels. 5-MTP inhibits TLR2 upregulation and blocks TLR2-MyD88-TRAF6 signaling pathway in macrophages. Furthermore, 5-MTP blocked Pam3- and TGFβ1-induced phenotypic switch of NRK-49F to myofibroblasts and inhibited Pam3- and TGFβ1-induced signaling pathways in HPTECs and RAW264.7 cells. Conclusion: 5-MTP effectively protects against UUO-induced renal interstitial fibrosis by blocking TLR2 and TGFβ signaling pathways.
DOI: 10.6084/m9.figshare.28159544.v1
title: Supplement II for “Recombinant expression of receptor binding domains of all eight subtypes of botulinum neurotoxin type A for generation of antitoxins with broad reactivity”.

description: Supplement II
DOI: 10.6084/m9.figshare.28160051.v1
title: Supplement XIII for “Recombinant expression of receptor binding domains of all eight subtypes of botulinum neurotoxin type A for generation of antitoxins with broad reactivity”.

description: Supplement XIII for “Recombinant expression of receptor binding domains of all eight subtypes of botulinum neurotoxin type A for generation of antitoxins with broad reactivity”.
DOI: 10.1285/i20705948v17n1p69
title: Factors affecting the profitability of food companies listed on the Vietnam stock market

description: The study aims to determine the factors affecting the profitability of the food companies listed on the Vietnam stock market. The study uses panel data with 198 observations of 22 food companies listed on the Vietnamese stock market in the period 2011-2019 into the regression analysis. With 3 methods POLS, FEM and REM; the author uses F test and Hausman test to select the appropriate model. The result show that REM is the most optimal model selected. However, the REM model still has variable variance defects and endogenous variables; therefore, the author uses GMM method to overcome the defects of the model. The results from the GMM regression model show that the profitability of food companies listed on the Vietnamese stock market is affected by internal factors including size, risk, past profitability, leverage, and macro factors such as: economic growth, inflation, calamity. From there, the author proposes recommendations to improve the profitability of these enterprises.
DOI: 10.17188/1195319
title: Materials Data on AlFe3 by Materials Project

description: Fe3Al is alpha bismuth trifluoride structured and crystallizes in the cubic Fm-3m space group. The structure is three-dimensional. there are two inequivalent Fe sites. In the first Fe site, Fe is bonded in a 8-coordinate geometry to eight equivalent Fe and six equivalent Al atoms. All Fe–Fe bond lengths are 2.49 Å. All Fe–Al bond lengths are 2.87 Å. In the second Fe site, Fe is bonded in a distorted body-centered cubic geometry to four equivalent Fe and four equivalent Al atoms. All Fe–Al bond lengths are 2.49 Å. Al is bonded in a distorted body-centered cubic geometry to fourteen Fe atoms.
DOI: 10.17188/1312238
title: Materials Data on AlFe2Si by Materials Project

description: Fe2AlSi is Heusler structured and crystallizes in the cubic Fm-3m space group. The structure is three-dimensional. Fe is bonded in a body-centered cubic geometry to four equivalent Al and four equivalent Si atoms. All Fe–Al bond lengths are 2.42 Å. All Fe–Si bond lengths are 2.42 Å. Al is bonded in a distorted body-centered cubic geometry to eight equivalent Fe and six equivalent Si atoms. All Al–Si bond lengths are 2.80 Å. Si is bonded in a distorted body-centered cubic geometry to eight equivalent Fe and six equivalent Al atoms.
DOI: 10.17909/7n8j-cy13
title: Data from paper "Exclusion of a direct progenitor detection for the Type Ic SN 2017ein based on late-time observations"

description: The HST observations of SN 2017ein, including pre-explosion, explosion and late-time images.
DOI: 10.18728/igb-fred-899.0
title: A spatial inventory of freshwater macroinvertebrate occurrences in the Guineo-Congolian biodiversity hotspot

description: We collated species occurrence records of freshwater invertebrates across the Guineo-Congolian region and present a dataset of 8,809 occurrences consisting of 4 phyla, eight classes, 32 orders, and 1,104 species. We added also the Hydrography90m stream network attributes to the macroinvertebrate occurrence records, such that the data spans across 2,890 catchments and stream orders 1-12. These records are considered valid and can be used for biogeographic analysis of freshwater macroinvertebrates in this important yet understudied freshwater biodiversity hotspot.
DOI: 10.20390/enginddepriv2015
title: English Indices of Deprivation 2010 and 2015 Data Pack

description: The English indices of deprivation data pack is a copy of several files from multiple sources (see below) and is provided as a convenience, for using with the IMD maps displays on the CDRC Maps website. It provides measures of relative deprivation across England at the LSOA scale, for 2010 and 2015, as mapped on CDRC Maps, as well as 2004 and 2007. The data for 2004, 2007 and 2010 was created by DCLG and for 2015 by OCSI on behalf of DCLG. The English indices of deprivation ranks all LSOAs in England from 1 (most deprived) to 32844 (least deprived) for 2015 and 1 to 32482 for 2004, 2007 and 2010.<br> The following scores for the indices of relative deprivation are provided: Index of Multiple Deprivation, Income, Living Environment, Health, Housing, Education, Employment and Crime. For 2015, two supplementary score indices which are subsets of the Income Deprivation Domain are also provided: Income Deprivation Affecting Children Index (IDACI) and Income Deprivation Affecting Older People Index (IDAOPI).<br> The 2004, 2007 and 2010 IMD uses the 2001 LSOA geography and the 2015 IMD uses the 2011 LSOA geography. As an additional convenience, a file is included which has mapped the 2010 IMD to the 2011 LSOA geography (overall score/rank only) to allow for easier comparison with the 2015 data. This file was created by PHE (Public Health England).
DOI: 10.25500/edata.bham.00001145
title: Research data supporting the publication "Acute particulate matter exposure diminishes executive cognitive functioning after four hours, regardless of inhalation pathway: processed data"
DOI: 10.25625/lvutce
title: NOMPC gating spring - data repository

description: This data repository contains the data used in: Hehlert & Effertz et al., 2024
DOI: 10.5258/soton/wp00649
title: Global 100m BSGM outputs

description: Annually modelling built-settlements between and beyond remotely-sensed observations based on relative changes in subnational populations
DOI: 10.5281/zenodo.10532786
title: Probabilistic projections of granular energy technology diffusion in Europe - solar photovoltaics, wind power, biogases, heat pumps, and electric vehicles

description: The probabilistic projections are part of the work:

Nik Zielonka, Evelina Trutnevyte, Probabilities of reaching required diffusion of granular energy technologies in European countries, iScience 28, 111825, (2025), https://doi.org/10.1016/j.isci.2025.111825

Please cite the article together with the Zenodo link when you use the data.

The provided data files contain the estimated probabilistic projections for European countries on the projected diffusion of solar photovoltaics (PV), offshore wind power, onshore wind power, biogases, heat pumps, battery electric vehicles (BEVs), hybrid vehicles, and fuel cell electric vehicles (FCEVs) for the indicated years:

Version 2023-2050: Projections for the years 2023-2050 as presented by Zielonka and Trutnevyte (2025), iScience.Version 2024-2050: Projections for the years 2024-2050, using the latest data of 2023.

Acknowledgements:

This work received funding from (i) the partnership between University of Geneva and Services Industriels de Genève, (ii) the Swiss State Secretariat for Education, Research, and Innovation SEFRI for the project IAM COMPACT “Expanding Integrated Assessment Modelling: Comprehensive and Comprehensible Science for Sustainable, Co-Created Climate Action” (Project no. 101056306), (iii) the Swiss Federal Office of Energy as part of the SWEET consortium SURE, (iv) and the Swiss National Science Foundation Eccellenza Grant as part of the project "Accuracy of long-range national energy projections" (Grant no. 186834). The computations were performed at the University of Geneva using Baobab High Performance Computing service. The authors bear sole responsibility for the conclusions and the results.
DOI: 10.5281/zenodo.14218706
title: Bigalke_etal_GSL_code

description: Code for figures in Explaining the 2022 record low Great Salt Lake volume
DOI: 10.5281/zenodo.14753321
title: Simulation Results for Hydraulic Conductivity Models Across Three Soils and Three Climates

description: This dataset is part of the research conducted for the forthcoming paper "Evaluating Unsaturated Hydraulic Conductivity Models for Diverse Soils and Climates: A Functional Comparison of Additive, Junction, and Kosugi Parameterizations." It includes simulation results that assess the performance of Additive, Junction, and Kosugi parameterizations for unsaturated hydraulic conductivity under three soils (pachepsky, SM-35-119, UNSODA-2571) subjected to generated weather records for three climates (monsoon, semi-arid, temperate), The dataset includes, simulation inputs and  outputs for each soil and climate combination,aggregated metrics such as maximum and minimum surface fluxes over 1-day, 5-day, 10-day, and 30-day windows, model comparison data visualizing. This dataset is intended for researchers interested in soil hydrology and the evaluation of hydraulic conductivity models. It is provided in a structured format to facilitate reproducibility and further analysis.
DOI: 10.5281/zenodo.2601505
title: Multi-classifier for RC bridge defects

description: Classifying concrete defects during a bridge inspection remains a subjective and laborious task. The risk of getting a false result is approximately 50% if different inspectors assess the same concrete defect. This is significant in the light of an over-ageing bridge stock, decreasing infrastructure maintenance budgets and catastrophic bridge collapses as happened in 2018 in Genoa, Italy. To support an automated inspection and an objective bridge defect classification, we propose a three-staged concrete defect classifier that can multi-classify potentially unhealthy bridge areas into their specific defect type in conformity with existing bridge inspection guidelines. Three separate deep neural pre-trained networks are fine-tuned based on multi-source dataset consisting of self-collected image samples plus several Departments of Transportation inspection databases. We show that this approach can reliably classify multiple defect types with an average mean score of 85%. Our presented multi-classifier is a contribution towards developing a mostly or fully inspection schema for a more cost effective and more objective bridge inspection.
DOI: 10.5439/1843763
title: Air mass back trajectories during cold-air outbreaks (CAOs) at Andenes and Bear Island, Norway

description: For each CAO hour identified from interpolated sounding, a 36-hour back trajectory was calculated using the NOAA HYSPLIT model. We used three different meteorological data as inputs to HYSPLIT: GFS 0.25 deg, GDSA 1deg, and NCEP/NCAR Reanalysis. The trajectories were calculated at four elevations: 500 m, 1000 m, 2000 m, and 5000 m. Locations (latitudes and longitudes) for each hour of the trajectory were reported in the data files.
DOI: 10.6084/m9.figshare.24531316
title: Efficient and Modular Synthesis of Ibogaine and Related Alkaloids - Data sets Prism Files

description: Data associated with publication.
DOI: 10.6084/m9.figshare.28159553.v1
title: Supplement III for “Recombinant expression of receptor binding domains of all eight subtypes of botulinum neurotoxin type A for generation of antitoxins with broad reactivity”.

description: Supplement III
DOI: 10.6084/m9.figshare.28341440
title: Supplementary Material for: Protocol for a Systematic and Scoping Review of Emergent Motion Capture Technology for Upper Extremity Assessment in Stroke

description: Background: A significant proportion of stroke survivors, ranging from 50% to 88%, experience upper limb motor impairments. Traditional upper limb assessments in clinical settings rely on subjective observations, leading to inconsistencies. Motion capture (MoCap) systems offer objective, precise assessments of kinematics. This review aims to systematically evaluate emergent MoCap technologies for upper limb assessment in stroke patients.
Methods: This protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) and the Cochrane Handbook for Systematic Reviews of Interventions version 6.4. The review is registered with the Open Science Framework (OSF). Searches will be conducted in PubMed, MEDLINE, CINAHL, CENTRAL, and IEEE Xplore. We will include peer-reviewed studies from 2014 to 2024, in English, focusing on adults (≥18 years) post-stroke using MoCap technologies for upper limb assessment. Two or more reviewers will independently screen, select, and extract data. A narrative synthesis will describe the evidence's quality and content.
Discussion: This review will enhance our understanding of MoCap technologies for upper limb assessment post-stroke, identifying strengths, limitations, and providing evidence-based recommendations for clinical practice and future research. It aims to bridge the gap by capturing and analysing the latest advancements and their clinical applications.
DOI: 10.7294/16625056
title: Concrete Crack Conglomerate Dataset

description: This dataset is the conglomeration of the cataloged crack datasets from the literature, making an extremely diverse crack dataset. There were over 10,995 images which have been merged from CFD (Shi, Cui, Qi, Meng, & Chen, 2016), Crack500 (Yang et al., 2020), CrackTree200 (Zou, Cao, Li, Mao, & Wang, 2012), DeepCrack (Y. Liu, Yao, Lu, Xie, & Li, 2019), Eugen Miller (Yang et al., 2020), GAPs (Eisenbach et al., 2017), Rissbilder (Yang et al., 2020), non-crack (Dorafshan, Thomas, & Maguire, 2018), and Volker (Yang et al., 2020). The majority of pixels were in the background class at 97.2%, and a little over 2.8% were in the crack class. This was expected, since cracks take up only thin lines of space on most images. The images were resized to 512x512 for training and testing the DeeplabV3+ model. The original and resized images are included. The data was split 90% training, and 10% testing by randomly sorting the data. After training with the DeeplabV3+ model (DOI: 10.7294/16628596), we were able to receive approximately 70% accuracy for detecting concrete cracks in the image. More details of the training, the results, the dataset, and the code may be referenced in the journal article. The GitHub repository information may be found in the journal article.<br>If you are using the dataset in your work, please include <b>both </b>the journal article and the dataset citation. <br>
DOI: 10.5281/zenodo.14763941
title: Datasets for "Functional group of grassland plants affects their fungal symbionts more than long-term fertilisation in a field experiment" paper

description: Source datasets for the paper titled "Functional group of grassland plants affects their fungal symbionts more than long-term fertilisation in a field experiment"
DOI: 10.5281/zenodo.14718251
title: Bar Signal Data Derived from a Compression-to-Tension Stress Conversion Structure in an SHPB Test

description: A specimen designed to convert compressive stress into tensile stress during the split Hopkinson pressure bar (SHPB) test is employed for the inverse calibration of a constitutive model for steel with a flow stress exceeding approximately 1,600 MPa. This calibration is accomplished by tracking the bar signals through repeated simulations. The maximum strain rate, strain, and temperature were approximately 6,500 /s, 0.53, and 550 K, respectively. These values significantly surpassed those obtained from a standard SHPB test, as predicted by an Excel template referenced elsewhere. The advantages of the proposed calibration method are discussed in comparison to the conventional approach.
DOI: 10.5281/zenodo.14718252
title: Bar Signal Data Derived from a Compression-to-Tension Stress Conversion Structure in an SHPB Test

description: A specimen designed to convert compressive stress into tensile stress during the split Hopkinson pressure bar (SHPB) test is employed for the inverse calibration of a constitutive model for steel with a flow stress exceeding approximately 1,600 MPa. This calibration is accomplished by tracking the bar signals through repeated simulations. The maximum strain rate, strain, and temperature were approximately 6,500 /s, 0.53, and 550 K, respectively. These values significantly surpassed those obtained from a standard SHPB test, as predicted by an Excel template referenced elsewhere. The advantages of the proposed calibration method are discussed in comparison to the conventional approach.
DOI: 10.15468/dl.95755s
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Adonis aestivalis L., Adonis aestivalis f. aestivalis, Adonis aestivalis f. citrina (Hoffm.) Riedl, Adonis ambigua var. flavus Gaudin, Adonis inglesii Royle, 1839)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Geometry POLYGON((16.26355 48.15358,16.48014 48.15358,16.48014 48.27418,16.26355 48.27418,16.26355 48.15358))",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to January",
 "Month is less than or equal to September"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019187-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3gv3tz37c4
title: SPIN2_CODES

description: We are submitting here the SPIN2_CODES software package that can be used to study spin-2 BECs in 3D, quasi-2D, and quasi-1D geometries. This package (consisting of three F90 codes) is associated with the manuscript titled 'OpenMP FORTRAN programs for solving coupled Gross-Pitaevskii equations for spin-orbit coupled spin-2 Bose-Einstein condensate'. Along with the codes, a README file is provided in this package to aid the user. This file includes the detailed instruction about how to use the package.
DOI: 10.48546/workflowhub.datafile.5.1
title: Publicly accessible repository for the clipped LiDAR point clouds and the shapefiles of the MAMBO demonstration sites

description: This public data repository (https://public.spider.surfsara.nl/project/lidarac/MAMBO/) provides the LiDAR point cloud datasets which were clipped using the boundary polygons (shapefiles) of the MAMBO demonstration sites. The raw LiDAR point cloud tiles were first downloaded from the national repository in the respective country based on the approximate location of each demonstration site. The data repository uses the storage services from the Dutch IT infrastructure SURF (https://www.surf.nl/en). The code for downloading, clipping and uploading the LiDAR point cloud datasets is available on GitHub (https://github.com/Jinhu-Wang/Retile_Clip_LAZ).