cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p13ywfsf
title: Grade and tonnage data for lithium, cesium, and rubidium pegmatite deposits

description: Pegmatites are a major host of global lithium, cesium, and rubidium resources. However, the existing grade and tonnage dataset for lithium pegmatites that was published in 1992 does not represent the current industry parameters used to delineate resources. There are no existing grade and tonnage datasets for cesium and rubidium. We present grade and tonnage data for lithium, cesium, and rubidium mineral resources related to pegmatite deposits. This compilation does not include pegmatite deposits with primary tin or tantalum resources, but we do report tin and tantalum concentrations for lithium-dominated deposits where available.

Over 100 potential pegmatite resources were evaluated; however, final selection was limited to resources that were sufficiently delineated in 3-dimensions to define the in-situ resource. The dataset is not an exhaustive list of known pegmatite prospects and deposits but instead aims to capture the current global distribution of in-situ grade and tonnage. The dataset includes two lithium pegmatite deposits in the United States, both in North Carolina. Other known domestic lithium pegmatite resources exist but were excluded because they lack industry-compliant resource estimates.

These data can be used for lithium, cesium, and/or rubidium mineral resource assessments or supply chain studies. The global lithium pegmatite dataset is sufficiently large for quantitative mineral resource assessments, depending on underlying assumptions of the assessment. We include a separate comma-delimited text file of lithium pegmatite deposits that is pre-formatted as input for probabilistic simulations of undiscovered deposits in the R-based software package MapMark4. Note that MapMark4 users should evaluate the lithium deposit dataset closely to verify the dataset agrees with the deposit type for which they have estimated undiscovered deposits. While an effort was made to isolate lithium-dominated resources for ease of MapMark4 input, note that some deposits have multiple commodities whereas others are solely lithium resources. These factors should be considered, and references for relevant records evaluated, prior to fitting grade and tonnage models. The three-digit ID field can be used as a primary key to link records from the main compilation to the MapMark4-ready dataset.
DOI: 10.5067/fchuv8f5z8od
title: High Mountain Asia Daily 0.05 x 0.05 deg Noah-MP Land Surface Model Reanalysis, Version 1
DOI: 10.5067/hnaugjqxscvu
title: High Mountain Asia UCLA Daily Snow Reanalysis, Version 1
DOI: 10.5067/qu2uyq6t0b3p
title: DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperatures, Version 5
DOI: 10.5281/zenodo.11120351
title: Phytoplankton_SES Data

description: Seal ID is a matlab character array of 227,293 observations (rows) showing the seal ID for each observation.

SES observation dates.mat is a character array of 227,293 observations showing the date of each observation.

SeaElephantsDataPigmSatClass.mat is a numeric array of 227,293 observations by 24 columns, column 1 is the observation id, column 2 is a naming id, column 3 is the latitude, 4 is the longitude, 5 refers to , 6 is the PrCA, 7 is the normalized PrCA based on the variance of each individual, 8 to 17 are the 10 phytoplankton pigments :total Chla, Divynil-Chla (DVChla), Chlb, Divynil-Chlb (DVChlb), 19'Hexfucoxanthin (19HF), 19'Butfucoxanthin (19BF), Fucoxanthin (Fuco), Peridinin (Perid), Alloxanthin (Allo), and Zeaxanthin (Zea), 18 is the satellite Chla, 19 to 22 are the Rrs at the 4 wacelengths (412,443,490,555), 23 is the sea surface temperature (SST), and 24 is the class for the same pixel of the observation based on the date, latitude, and longitude.

SOM_Pigment_Training.m is the matlab script containing the code used to train the Self-Organizing Map. SOM-Toolbox-master.zip contains all the necessary functions and is a prerequisite software library (SOM Toolbox 2.0) for Matlab, implementing the self-organizing map algorithm, Copyright (C) 1999 by Esa Alhoniemi, Johan Himberg, Jukka Parviainen, and Juha Vesanto and accessible at https://github.com/ilarinieminen/SOM-Toolbox.
DOI: 10.5281/zenodo.12689503
title: Soil C saturation in tropical agricultural systems: soil fertility, climate, texture and N controls on SOM fractions

description: Nature-based solutions for C sequestration in tropical croplands are paramount strategies in a changing climate. Soybean-maize-forage intercropped systems associated with soil acidity alleviation and nitrogen (N) fertilization effectively accumulate carbon (C) in weathered soils. However, the soil saturation status and the controls of C stabilization up to 40 cm soil depth into particulate (POM) and mineral-associated organic matter (MAOM) fractions are poorly understood in tropical croplands. This study tested the hypothesis of C saturation in the MAOM fraction by comparing field and published data focused on Brazilian tropical soils. We assessed the N fertilization effect on C stabilization in POM and MAOM pools, and climate, soil texture, and chemical attributes controls on POM and MAOM formation in tropical croplands using a machine-learning Random Forest (RF) modeling approach. Our findings do not support C saturation in the MAOM regardless of contrasting soil contents of silt plus clay and depths. C in the MAOM and POM fractions were not affected by N fertilizer. However, legume inclusion in the system resulted in higher total soil C and lower soil C:N ratio compared with N fertilization, which indicates that C dynamics differ whether synthetic or organic-N forms are applied to tropical croplands. Our RF model showed robust predictive performance for the MAOM but poorer for the POM fraction. Total organic carbon (TOC), total N, silt plus clay, phosphorus (P) and soil depth, zinc (Zn), cation exchange capacity, and TOC covariates were the most important variables for predicting MAOM and POM fractions, respectively. Our findings show, besides the well-known effect of calcium, that other nutrients such as P, Zn, manganese and copper play a key role in either MAOM or POM formation. Our work provides key insights on C saturation status in tropical croplands and land-management C sequestering potential, and N, climate, soil chemical attributes and texture controls on C distribution into MAOM and POM fractions up to 40 cm soil depth in tropical conservation agricultural systems. We advocate for upscaling C saturation concept nationally and further research investigating the role of climate and micronutrients contribution on MAOM and POM formation in broad scenarios and N fertilizer responsiveness for C stabilization in tropical croplands.
DOI: 10.5281/zenodo.13988220
title: Spatially explicit re-harmonized terrestrial carbon densities for calibrating Integrated human-Earth System Models

description: Soil and vegetation carbon densities play a critical role in global and regional human-Earth system models. These densities affect variables such as land use change emissions and also influence land use change pathways under climate mitigation scenarios where terrestrial carbon is assigned a carbon price. Recently, more spatially explicit, fine resolution data have become available for both soil and vegetation carbon. However, for models to effectively use these data the fine resolution data need to be reharmonized to initial land use and land cover conditions represented by these models. Without such reharmonization the carbon values may be very inaccurate for particular land types and places where the source data and the model disagree on the land use/cover type. Here we present reharmonized soil and vegetation carbon densities both at the grid cell level at 5 arcmin resolution and also aggregated to 235 water sheds for 4 different land use and 15 land cover types. These data are particularly useful as initial land carbon conditions for global Multisectoral Dynamic Models (MSD). Moreover, these data include six different statistical states calculated using distinct resampling methods for each of the land use, land cover types. These statistical states are used to define a range of possible carbon values for each land classification, and any state can be used for defining initial conditions of soil and vegetation carbon in MSD models. We make use of these statistical states to calculate spatially distinct uncertainties in the carbon densities by land type. We have implemented these data in a state-of-the-art multi sector dynamics model, namely the Global Change Analysis Model (GCAM), and show that these new data improve several land use responses in the model, especially when terrestrial carbon is assigned a carbon price. The statistical states in our data are validated against similar estimates in the literature both at a grid cell level and at a regional level. 

This is a data record which corresponds to the paper "Spatially explicit re-harmonized terrestrial carbon densities for calibrating Integrated Multisectoral Models" (Narayan et al. 2023, under review)

We have now also added a tabular version of the dataset aggregated to GTAP's AEZ definitions as opposed to GCAM's GLUs
DOI: 10.5281/zenodo.14001300
title: Dataset for "The effects of teaching strategies on learning to think critically in primary and secondary schools: an overview of systematic reviews"

description: A dataset for the overview of systematic reviews entitled "The effects of teaching strategies on learning to think critically in primary and secondary schools: an overview of systematic reviews".
DOI: 10.5281/zenodo.14628510
title: BRÉF - Base Révisée des Élu·es de France

description: The BRÉF (Base Révisée des Élu·es de France / Revised database of representatives elected in France) is a database aiming at describing the mandates of all public representatives elected in France during the Fifth Republic (1958--present). It is based on the combination of data coming from of 4 sources:



Primary source: RNE (Registre National des Elus / National register of elected representatives), a database maintained by the French Ministry of Interior when monitoring elections.

Secondary sources:



National Assembly: open database provided by the French National Assembly regarding the mandates of Members of the Parliament.

Senate: open database provided by the French Senate, regarding senatorial mandates.

European Parliament: official website of the European Parliament, which lists the mandates of Members of the European Parliament.




The original data contain many errors and issues, which are documented in our technical report (in French), as well as the operations that we conducted to correct or alleviate them, as described in technical report [1]. The database was used during the PhD of Noémie Févrat [2].



V. Labatut, N. Févrat & G. Marrel, BRÉF – Base de données Révisée des Élu·es de France, Technical Report, Avignon Université, 2020. ⟨hal-02886580⟩

Févrat, N. Le mandat de trop ? La réélection des parlementaires et des maires en France et les conditions de sa remise en cause, PhD Thesis, Avignon Université, 2024. ⟨tel-04550896⟩


Source code. The source code that implements these operations is freely available on GitHub, as a collection of R scripts gathered in the BrefInit repository. The first version of the database takes the form of a single, large CSV table. The second version of the BRÉF is a proper relational database obtained with the scripts available in the BrefConversion repository. Its tables and fields are described in the readme.txt file.

Database. The database is available under three forms:



PostgreSQL binary dump: file bref_20250115_v2.2.1.backup

SQL plain dump: file bref_20250115_v2.2.1_sql.zip

Individual CSV files (one by table): bref_20250115_v2.2.1_sql.zip


Citation. If you use these data or the related source code, please cite reference [1]:

@TechReport{Labatut2020,  author           = {Labatut, Vincent and Févrat, Noémie and Marrel, Guillaume},  title            = {{BRÉF} -- {B}ase de données {R}évisée des {É}lu·es de {F}rance (BRÉF -- Revised Database of the Representatives Elected in {F}rance)},  institution      = {Avignon Université},  year             = {2020},  type             = {Technical Report},  address          = {Avignon, FR},}

Funding. This work was supported by the research federation Agorantic (FR 3621), through the funding of Noémie Fevrat’s PhD. and of interdisciplinary research project BRÉF2.
DOI: 10.5281/zenodo.14641718
title: source data and code for "Trionic All-optical Biological Voltage Sensing via Quantum Statistics"

description: Raw dataset and source code for re-generating the figures in the manuscipt.
DOI: 10.5281/zenodo.4888168
title: EDH

description: The dataset contains 81,476 cleaned and streamlined Latin inscriptions from the Epigraphic Database Heidelberg (EDH, https://edh-www.adw.uni-heidelberg.de, License https://creativecommons.org/licenses/by-sa/4.0/), aggregated on 2021/01/21, created for the purpose of a quantitative study of epigraphic trends by the Social Dynamics in the Ancient Mediterranean Project (SDAM, http://sdam.au.dk). The full lifecycle of the transformation process, including programmatical access, modifications, and streamlining of the original dataset is documented by a sequence of Python and R scripts (https://github.com/sdam-au/EDH_ETL). The dataset is stored as a JSON file, ensuring compatibility both with Python and R. The scripts used to generate the dataset and their metadata are available via GitHub: <code>https://github.com/sdam-au/EDH_ETL</code>.
DOI: 10.5281/zenodo.6567752
title: 2D Synthetic Training Data For SyMBac

description: Synthetic training datasets, used to train models to segment <em>B. subtilis </em>growing in mother machine (100x oil, phase contrast) <em>E. coli </em>growing on agar pads (100x oil, phase contrast) <em>E. coli </em>streaked onto agar pads (60x air, fluorescence) <em>E. coli </em>growing in a microfluidic turbidostat (100x oil, phase contrast)
DOI: 10.5281/zenodo.7265884
title: Dataset for: Synthetic Micrographs of Bacteria (SyMBac) Allows Accurate Segmentation of Bacterial Cells Using Deep Neural Networks

description: Datasets for the paper Synthetic Micrographs of Bacteria (SyMBac) Allows Accurate Segmentation of Bacterial Cells Using Deep Neural Networks, published in BMC Biology.
DOI: 10.5281/zenodo.8165364
title: NIHAO-SKIRT-Catalog

description: Data product containing resolved photometry and spatially integrated spectra for a sample of 65 NIHAO galaxies, each from 10 different viewing angles. The two python analysis files demonstrate how to access and use the data files. README.md contains further information about the data file contents.
DOI: 10.60520/ieda/113507
title: Quantitative major elements EMPA analyses of spinel and chlorite from metamorphic chromitites of the Calzadilla Ophiolite (SW Iberian Massif)

description: This dataset contains analyses of "in situ" major elements from a porphyroclastic and porphyroblastic spinels in metamorphic chromitites which they form part of mantle section of one of the oldest Precambrian ophiolites exposed along European Variscan suture (Calzadilla Ophiolite, SW of Iberian Massif).
description: Antonio Garcia-Casco , Núria Pujol-Solà, Irene Novo-Fernández, Ricardo Arenas, Esther Rojo-Pérez, Aitor Cambeses, José Francisco Molina, Sonia Sánchez Martínez, Diego Domínguez-Carretero, Gabriel Iglesias, Joaquín Proenza (Submitted). A general conceptual petrological model for the transformation of chromitite with application and implications. Journal of Petrology.
DOI: 10.6073/pasta/79c1d2079271546e61823a98df2d2039
title: GIS Shapefile, Tree Canopy Change 2007 - 2015 - Baltimore City

description: This layer is a high-resolution tree canopy change-detection layer for Baltimore City, MD. It contains three tree-canopy classes for the period 2007-2015: (1) No Change; (2) Gain; and (3) Loss. It was created by extracting tree canopy from existing high-resolution land-cover maps for 2007 and 2015 and then comparing the mapped trees directly. Tree canopy that existed during both time periods was assigned to the No Change category while trees removed by development, storms, or disease were assigned to the Loss class. Trees planted during the interval were assigned to the Gain category, as were the edges of existing trees that expanded noticeably. Direct comparison was possible because both the 2007 and 2015 maps were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset will be subjected to manual review and correction. 2006 LiDAR and 2014 LiDAR data was also used to assist in tree canopy change.
DOI: 10.6084/m9.figshare.28359224
title: Table_S1_Geochemical dataset.xlsx

description: Earth's first atmospheric oxygen rise between 2.43-2.1 billion years ago enabled complex life, but geochemical evidence shows earlier oceanic oxygen oases. New data from a 2.93-billion-year-old Canadian drill core reveal early surface water oxygen accumulation, predating atmospheric oxygen by 500 million years. Pulsed increases in oceanic phosphorus bioavailability, driven by anoxic recycling, likely boosted photosynthesis and organic carbon burial, influencing these early oxygen oases.
DOI: 10.6084/m9.figshare.8127899.v1
title: RELATIONSHIP BETWEEN INNOVATION AND PERFORMANCE: IMPACT OF COMPETITIVE INTENSITY AND ORGANIZATIONAL SLACK

description: ABSTRACT Innovation is a key factor in organizational performance. Although there are references from strategic theory to understand the relationships between these two variables, there are still many gaps that need to be filled. Thus, more empirical validation is necessary. This study aimed to verify how the relationship between innovation and performance is affected by the presence of precursor variables such as competitive intensity and organizational slack. This study involved conducting explanatory and cross-sectional investigations by applying structural equation modeling to a sample of small and medium-sized enterprises in Bogotá, Colombia. The results make a relevant contribution to the literature on strategic management by showing that competitive intensity and organizational slack induce innovation and positively impact performance.
DOI: 10.1594/pangaea.875879
title: Global chlorophyll a concentrations for diatoms, haptophytes and prokaryotes obtained with the Diagnostic Pigment Analysis of HPLC data compiled from several databases and individual cruises

description: Chlorophyll "a" concentrations (Chla) for diatoms, haptophytes and prokaryotes have been derived using the Diagnostic Pigment Analysis by Vidussi et al. (2001) and Uitz et al. (2006) modified as in Hirata et al. (2011) and Brewin et al. (2015) of in situ HPLC phytoplankton pigment data compiled from several databases and individual cruises. The weights used in the analysis were revised in accordance to this enlarged in situ pigment data set. The in situ database includes databases French campaigns (Atalante-3, KEOPS and Bonus Good Hope) and German research vessels (RV) Maria S. Merian, Meteor, Polarstern, Poseidon and Sonne. Cruises with RV Polarstern to the Southern hemisphere are labeled as ANT, to the Northern hemisphere as ARK, with RV Poseidon as POS, with RV Maria S. Merian with MSM, with RV Meteor as M and with RV Sonne as SO. A campaign in Indonesian waters was conducted from a small fisher boat.
DOI: 10.17863/cam.105113
title: Mammographic Image Analysis Society (MIAS) database v1.21

description: The Mammographic Image Analysis Society database of digital mammograms (v1.21). Contains the original 322 images (161 pairs) at 50 micron resolution in "Portable Gray Map" (PGM) format and associated truth data.
description: This record will be updated with publication details.
description: This record is licensed under a CC BY licence.
DOI: 10.18112/openneuro.ds004514.v1.1.2
title: Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools
DOI: 10.6084/m9.figshare.28788107
title: Supplementary Material for: Comparing Stroke Profiles and Outcomes between Urban and Rural India: A Secondary Analysis of the SPRINT INDIA Trial

description: Introduction: 
Stroke causes significant death and disability, with urban-rural disparities in healthcare, and limited studies in India, despite its rural majority of 70%. The post-hoc study aimed to explore differences in stroke profiles, risk factors, and outcomes between urban and rural participants using data from the SPRINT INDIA trial.
Methods: 
The SPRINT INDIA trial was a multi-centre Randomised clinical trial RCT across 31 Indian sites. Data was collected between April 28, 2018, and Nov 30, 2021. Index stroke patients, aged 18 and older, presenting within two days to three months of symptom onset, were randomized using a centralized web-based system into intervention or control groups. The intervention included SMS, videos, and an interactive educational workbook for secondary stroke prevention in 11 Indian languages. Baseline data captured in Case report form (CRF) included participants' urban or rural location. Primary outcome was a composite endpoint that included recurrent stroke, high-risk transient ischemic attack (TIA), acute coronary syndrome (ACS), and all-cause mortality within one year after randomization. The trial is registered by Clinicaltrials.gov, NCT03228979 and Clinical Trials Registry-India CTRI/2017/09/009600).
Results: 
The trial enrolled 4,298 sub-acute stroke patients, out of which 3038 (70.68%) were followed-up of which 1620 (53.32%) were urban and 1418 (46.68%) were rural. Primary composite outcome (recurrent stroke, high-risk TIA, ACS, and mortality) was higher in urban areas compared to rural areas 61 (3.8%) vs 34 (2.4%); p=0.018 at one year follow-up. All cases of high-risk TIA occurred in urban participants (p&lt;0.001). 
Urban participants were more educated 795 (49.1%) vs rural 394 (27.8%); p&lt;0.001), with higher rates of dyslipidemia 335 (20.7%) vs 247 (17.4%); p=0.023, and higher BMI 25.17±4.31 vs. 24.76±4.23; p=0.008. Behavioural risk factors of alcohol intake and smoking tobacco were higher in rural patients compared to urban patients 65 (4.6%) vs. 73 (4.5%); p&lt;0.001 and 59 (4.2%) vs. 65 (4.0%); p&lt;0.001 respectively.
Conclusion:
Urban patients show higher stroke recurrence and lifestyle-related conditions, while rural patients face more behavioural risks like smoking and alcohol use. To address these disparities, requires targeted interventions; urban patients would benefit from lifestyle-focused programs, such as dietary improvements and stress management. For rural patients, programs should focus on reducing behavioural risks like smoking and alcohol use through community-based education and accessible cessation support services.