cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/z6x2e9
title: Table des analyses chimiques

description: Cette table comprend les résultats des analyses chimiques réalisées sur les échantillons prélevés sur les horizons décrits (sondages et fosses) du site. Les analyses sont réalisées sur un échantillon séché à l'air, désagrégé, tamisé à 2 mm et éventuellement broyé à 250 μm lorsque la méthode d'analyse l'exige. Plusieurs types d’analyses ont été réalisées : détermination de la teneur en carbone total (g_kg-1, NF ISO 10694,1994), en carbonate de calcium (g_kg-1, NF ISO 10693,1995) et en azote total (g_kg-1, NF ISO 13878, 1998). La teneur en carbone organique est déduite par différence entre le carbone total et le carbone minéral issu du carbonate de calcium (C organique = C total – 0.12*CaCO3). Détermination du pH eau (NF ISO 10390, 2005), de la capacité d’échange cationique (cmol+_kg-1, NF EN ISO 23470 2018 ) et détermination de la teneur en cations échangeables Na, Ca, Mg, K, Fe, Mn et Al (cmol+_kg-1 pour chaque cation) par spectrométrie d’émission optique par plasma induit d’argon (ICP-AES) sur l’extrait obtenu par la méthode NF EN ISO 23470, de la teneur en Phosphore (méthode Olsen ou Dyer). Les analyses chimiques ont été effectuées par le Laboratoire d’Analyses des Sols (LAS) INRAE situé à Arras (www6.hautsdefrance.inrae.fr/las). Incertitudes de mesure fournies par le laboratoire : - Carbone total g_kg-1 = 0.02 [carbone total] + 0.49 - azote total g_kg-1 = 0.095 [azote total] + 0.02 - carbonate de calcium (CaCO3) g_kg-1 = 0.016 [CaCO3] + 0.63 - carbone organique (SOC) g_kg-1 = 0.02 * [SOC + 0.12 *[ CaCO3]] + 0.49 + 0.12 * (0.016 * [CaCO3] + 0.63) - pH eau = 0.11 - Capacité d’échange cationique cmol+_kg-1 = 1.07
DOI: 10.57745/l49olz
title: Table des corespondances des identifiants

description: Cette table permet de mettre en correspondance les identifiants « id-site », no-profil, no-horizon et code_laboratoire.
DOI: 10.57745/0vwhy5
title: Table des données qualitatives de descriptions pédologiques des horizons

description: Cette table compile les observations pédologiques classiques réalisées lors des descriptions de terrain : profondeurs, texture, éléments grossiers, réaction à l’acide chlorhydrique, hydromorphie, activités biologiques, couleur et -seulement pour les descriptions sur profils- des éléments sur la structure. Cette table contient également les codes des horizons selon la nomenclature du référentiel pédologique 2008. Les champs utilisés sont décrits dans le dictionnaire de données Donesol (https://dw3.gissol.fr/fichiers/dictionnaire_donesol_igcs_3-15_31-03-2021.pdf).
DOI: 10.57745/vbsi2f
title: Table granulométrie 5 fractions

description: Cette table contient les résultats des analyses granulométriques réalisées en laboratoire sur les échantillons prélevés dans les horizons pédologiques décrits sur le site. Chaque horizon a été analysé selon 5 classes granulométriques : 0 à 2 µm (argile), 2 à 20 µm (limon fin), 20 à 50 µm (limon grossier), 50 à 200 µm (sables fins) et 200 à 2000 µm (sables grossiers). Les analyses granulométriques par le Laboratoire d’Analyses des Sols (LAS) INRAE situé à Arras (www6.hautsdefrance.inrae.fr/las). Incertitudes de mesure fournies par le laboratoire : - argile g_kg-1 (0-2 micronm) = 0.040 * [Argile] + 3.42 - limons fins g_kg-1 (2-20 micronm) = 0.040 * [limons fins] + 4.54 - limons grossiers g_kg-1 (20-50 micronm) = 11.30 - sables fins g_kg-1 (50-200 micronm) = 0.050 * [sables fins] + 4.37 - sables grossiers g_kg-1 ( 200-2000 micronm) = 0.050 [sables grossiers] + 4.00 Les analyses granulométriques et chimiques ont été effectuées par le Laboratoire d’Analyses des Sols (LAS) INRAE situé à Arras (www6.hautsdefrance.inrae.fr/las).
DOI: 10.57745/yahhpk
title: Positions géographiques des observations pédologiques

description: Cette table contient les coordonnées géographiques en wgs84 et en Lambert93 des sondages et des profils pédologiques. Cette table contient également l’information sur le type d’observation (sondage ou profil).
DOI: 10.57745/ylqxer
title: tab_mass_vol.tab

description: Masses volumiques des horizons
DOI: 10.5281/zenodo.6822932
title: Chesapeake Bay Vertical Land Motions 2020

description: Global Positioning System (GPS) data from the 2020 campaign in the Chesapeake Bay region
DOI: 10.5281/zenodo.6822831
title: Chesapeake Bay Vertical Land Motions 2019

description: Global Positioning System (GPS) data from 2019 campaign in the Chesapeake Bay region
DOI: 10.5517/ccdc.csd.cc2bz3xc
title: CCDC 2173903: Experimental Crystal Structure Determination

description: Related Article: Sakshi, Sadhika Khullar|2022|Inorg.Chem.Commun.|146|110109|doi:10.1016/j.inoche.2022.110109
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.cc27ky70
title: CCDC 2072822: Experimental Crystal Structure Determination

description: Related Article: Zhe Gao, Di Jiang, Bin Li, Baiquan Wang|2022|Chem.Commun.|58|1017|doi:10.1039/D1CC06041D
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: 10.34740/kaggle/dsv/4565337
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.7338101
title: Datasets for greenhouse gasses emissions and removals from inventories and global models over Africa

description: This file includes the data from Mostefaoui et al. (ESSD, under submission), for 54 countries African countries The data includes: (1) CO2 fluxes from global models - satellite inversions and Dynamic Global Vegetation Models (DGVM) -, and from a collection of national inventories for LULUCF, GFEDv4 and FAO data. DGVM values are the median of 14 models, consistent with the Global Carbon Budget 2020 (https://essd.copernicus.org/articles/12/3269/2020/) LULUCF UNFCCC corrected values are from Grassi https://essd.copernicus.org/preprints/essd-2022-104/ (2) CH4 fluxes from global models consistent with the Global Methane Budget 2020 (https://essd.copernicus.org/articles/12/1561/2020/) (3 N2O fluxes from global models (three inversions) For further methodological details, see Mostefaoui et al. (ESSD, under submission): Mounia Mostefaoui, Philippe Ciais, Matthew J. McGrath, Philippe Peylin, Prabir Patra. Greenhouse gasses emissions and their trends over the last three decades across Africa, ESSD (under submission)
DOI: 10.5281/zenodo.7338102
title: Datasets for greenhouse gasses fluxes from inventories and global models

description: This file includes the data from Mostefaoui et al. (ESSD, under submission), for 54 countries African countries The data includes: (1) CO2 fluxes from global models - satellite inversions and Dynamic Global Vegetation Models (DGVMs) -, and from a collection of national inventories for LULUCF, GFED and FAO data. DGVM values are averages of 14 models, consistent with the Global Carbon Budget 2020 (https://essd.copernicus.org/articles/12/3269/2020/). LULUCF corrected values are from Grassi https://essd.copernicus.org/preprints/essd-2022-104/ (2) CH4 fluxes from global models consistent with the Global Methane Budget 2020 (https://essd.copernicus.org/articles/12/1561/2020/) (3 N2O fluxes from global models For further methodological details, see Mostefaoui et al. (ESSD, under submission): Mounia Mostefaoui, Philippe Ciais, Matthew J. McGrath, Philippe Peylin, Prabir Patra. Greenhouse gasses emissions and their trends over the last three decades across Africa, ESSD (under submission)
DOI: 10.6084/m9.figshare.21603588
title: Naegleria_fowleri_NF_NF1.genome.fasta

description: Complete genome assembly of Naegleria fowleri NF_NF1 strain
DOI: 10.6084/m9.figshare.21603588.v1
title: Naegleria_fowleri_NF_NF1.genome.fasta

description: Complete genome assembly of Naegleria fowleri NF_NF1 strain
DOI: 10.5519/qd.aw92cmb7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.13012/b2idb-8790412_v1
title: Model output from the Weather Research and Forecasting model with water vapor tracers over Amazon and La Plata river basins

description: Model output dataset (6-hourly) from the Weather Research and Forecasting (WRF) model simulations over South America with the added capability of water vapor tracers to track the moisture that originates over the Amazon and the La Plata river basins. The simulations were performed for the period 2003-2013 at 20-km horizontal resolution fully coupled with the Noah-MP land surface model. Limited number of original output variables sufficient for reproducing the analyses in papers that cite this dataset are included here. The attached wrfout_southamerica_readme.txt contains detailed information about the file format and variables. For the complete model dataset, contact francina@illinois.edu.
DOI: 10.17632/c444b3hx6t.1
title: LINF_330039800

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/dmm4kssp6t.1
title: LINF_330039600

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/bdmchc8zcy.1
title: LINF_330039400

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/284pbh5nxd.1
title: LINF_330039200

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/v45957b8cw.1
title: LINF_330039100

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/dmrkn9pfrr.1
title: Data and scripts for "Individual heme a and heme a3 contributions to the Soret absorption spectrum of the reduced bovine cytochrome c oxidase"

description: Contains numeric data and scripts used for Diuba2022 BBA - Bioenergetics article submission "Individual heme a and heme a3 contributions to the Soret absorption spectrum of the reduced bovine cytochrome c oxidase"
Both "Data" and "Scripts" folders are organized on figure-by-figure basis. Numeric data are provided for every curve on every figure panel.
Scripts are named as figures and reproduce them.
DOI: 10.17632/dmrkn9pfrr.2
title: Data and scripts for "Individual heme a and heme a3 contributions to the Soret absorption spectrum of the reduced bovine cytochrome c oxidase"

description: Contains numeric data and scripts used for Diuba2022 BBA - Bioenergetics article submission "Individual heme a and heme a3 contributions to the Soret absorption spectrum of the reduced bovine cytochrome c oxidase"
Both "Data" and "Scripts" folders are organized on figure-by-figure basis. Numeric data are provided for every curve on every figure panel.
Scripts are named as figures and reproduce them.
DOI: 10.17632/dmrkn9pfrr.3
title: Data and scripts for "Individual heme a and heme a3 contributions to the Soret absorption spectrum of the reduced bovine cytochrome c oxidase"

description: Contains numeric data and scripts used for Diuba2022 BBA - Bioenergetics article submission "Individual heme a and heme a3 contributions to the Soret absorption spectrum of the reduced bovine cytochrome c oxidase"
Both "Data" and "Scripts" folders are organized on figure-by-figure basis. Numeric data are provided for every curve on every figure panel.
Scripts are named as figures and reproduce them.
DOI: 10.17632/dmrkn9pfrr.4
title: Data and scripts for "Individual heme a and heme a3 contributions to the Soret absorption spectrum of the reduced bovine cytochrome c oxidase"

description: Contains numeric data and scripts used for Diuba2022 BBA - Bioenergetics article submission "Individual heme a and heme a3 contributions to the Soret absorption spectrum of the reduced bovine cytochrome c oxidase"
Both "Data" and "Scripts" folders are organized on figure-by-figure basis. Numeric data are provided for every curve on every figure panel.
Scripts are named as figures and reproduce them.
DOI: 10.17632/jpcdhwn3kc.1
title: Economic Empowerment of Women Through Household Dairy Farming in Rural India  

description: Primary data collected from households through direct interview method
DOI: 10.17632/dzmrnjrthr.1
title: Data from: Delayed plumage signals social status in a mutually ornamented bird

description: Data and R codes corresponding to the manuscript:
"Delayed plumage signals social status in a mutually ornamented bird"
https://doi.org/10.1007/s10336-022-02035-7

Data include (i) the outcome of aggressive interactions between flock mates in saffron finches (Sicalis flaveola); (ii) information on the phenotype (morphology and plumage coloration) of the birds involved in those interactions.
DOI: 10.17632/xssdssg7z4.1
title: Upper Air Meteorological Data for Uyo

description: A total of 2069 meteorological observations for temperature, pressure, and dew point, with corresponding time, and elevation of capture, were recorded, using Radiosonde equipped with a payload that measures upper air temperature, pressure, and the dew point. The meteorological data logged spans between January 2021 and July 2021
DOI: 10.17632/44pb265rhw.1
title: Diabetic Retinopathy associated with Central Serous Chorioretinopathy: A Report and Review of the Literature

description: This set contains data obtained from the patient
DOI: 10.17632/7hngdknfjr.1
title: The contribution of education to strategic academic leadership and high-tech economic growth

description: The dataset is a table of data from materials of WIPO "Global Innovation Index 2022, 15th Edition. What is the future of innovation driven growth?" (GII 2022 Economy profiles). The statistics are merged into a common data set, from which countries with large gaps in statistics are removed. As a result, 123 countries were included in the dataset. The dataset contains statistics on the following five indicators: 
1) High-tech manufacturing, % (score 0-100); 
2) QS university ranking, top 3 (score 0-100);
3) Tertiary enrolment, % gross (score 0-100);
4) Graduates in science and engineering, % (score 0-100);
5) Tertiary inbound mobility, % (score 0-100);
6) Knowledge creation (score 0-100).
DOI: 10.17632/84gbpd8s5s.1
title: Brief Mindfulness Meditation Intervention Improves Attention Control of Athletes in Virtual Reality Shooting Competition: Evidence from fNIRS and Eye tracking

description: The folder contains the fNIRS folder and an EXCEL document. The fNIRS file includes four folders, which are the baseline data and shooting task state data of the experimental group and the control group respectively; The EXCEL document includes the demographic information of the subjects, the self-assessment scores of the questionnaire, and the eye gaze data.
DOI: 10.5281/zenodo.7299440
title: Data relative to the paper "When space rules the time: the Kappa effect with visual and tactile stimulation"

description: Data relative to the paper "<strong>When space rules the time: the Kappa effect with visual and tactile stimulation</strong>"
DOI: 10.5281/zenodo.7299439
title: Data relative to the paper "When space rules the time: the Kappa effect with visual and tactile stimulation"

description: Data relative to the paper "<strong>When space rules the time: the Kappa effect with visual and tactile stimulation</strong>"
DOI: 10.5281/zenodo.7344595
title: Internal proper motion dispersion profiles for 37 Milky Way globular clusters extracted from Gaia EDR3

description: Internal proper motion dispersion profiles, in the radial and tangential components, extracted from Gaia EDR3 data for 37 Milky Way globular clusters. Created for, and used for model fitting in, the submitted manuscript: "Multimass modelling of Milky Way globular clusters - I. Implications on their stellar initial mass function above 1 M$_{\odot}$". Details on the creation of this dataset are available within this article.
DOI: 10.5281/zenodo.7344596
title: Internal proper motion dispersion profiles for 37 Milky Way globular clusters extracted from Gaia EDR3

description: Internal proper motion dispersion profiles, in the radial and tangential components, extracted from Gaia EDR3 data for 37 Milky Way globular clusters. Created for, and used for model fitting in, the submitted manuscript: "Multimass modelling of Milky Way globular clusters - I. Implications on their stellar initial mass function above 1 M$_{\odot}$". Details on the creation of this dataset are available within this article.
DOI: 10.17632/x544r9b7jx.1
title: Data for - The grandparents’ effects on grandchildren’s education: Evidence from rural India

description: Article: The grandparents’ effects on grandchildren’s education: Evidence from rural India

This article uses data from India Human Development Survey II conducted in 2011-12 (Desai and Vanneman, 2012). The data is available for download for the public after registration at the site: https://www.icpsr.umich.edu/web/DSDR/studies/36151 

We use the following datasets of IHDS in this article:
1.	Individual
2.	Household
3.	Eligible Women
4.	Non Resident
5.	Village

The do file has commands to 1) to merge the above datasets and create one file,  2) to construct variables used in the analysis 3) to generate all tables/figures of descriptive satistics and 4) all regression analyses performed in the paper.
 
Reference:
Desai, Sonalde, and Vanneman, Reeve. India Human Development Survey-II (IHDS-II), 2011-12. Inter-university Consortium for Political and Social Research [distributor], 2018-08-08. https://doi.org/10.3886/ICPSR36151.v6
DOI: 10.6084/m9.figshare.21603624
title: Naegleria_fowleri_NF_AR12.genome.fasta

description: Complete genome assembly of Naegleria fowleri NF_AR12 strain
DOI: 10.6084/m9.figshare.21603624.v1
title: Naegleria_fowleri_NF_AR12.genome.fasta

description: Complete genome assembly of Naegleria fowleri NF_AR12 strain
DOI: 10.17632/bjfdw6xbxw.1
title: Impact of limited data availablility on the accuracy of project duration estimation in project networks

description: This database includes simulated data showing the accuracy of estimated probability distributions of project durations when limited data are available for the project activities. The base project networks are taken from PSPLIB. Then, various stochastic project networks are synthesized by changing the variability and skewness of project activity durations. 

Number of variables:  14
Number of cases/rows: 330028
Variable List: 
	Network ID: ID of the synthesized network	

	#Activities: Number of activities in the network, including start and finish activities	

	Net var: Variance of the activities in the network (“Net var” can be either high, low, medium or  rand, where rand shows a random combination of low, high and medium variance in the network activities.)

	Net skew: Skewness of the activities in the network (“Net skew” can be either right, left, None or  rand, where rand shows a random combination of right, left, and None skewness in the network activities)	

	Number of arcs: Number of arcs in the activity on node project network

	Benchmark mean: Mean project duration in the benchmark stochastic project network

	sample size: Number of sampled data used for the experiment resembling limited data condition

	Fitted distribution type: Distribution type used to fit on sampled data

	Average fitting KS: Kolmogorov–Smirnov(K–S) test value averaged among all K-S values resulted from the fitting process using the maximum likelihood method for network activities

	#Criticals: Number of critical activities in the project network, averaged among Monte Carlo simulation runs	

	Mean: Mean of project duration distribution for the experiment

	Variance: Variance of project duration distribution for the experiment

	KS: Kolmogorov–Smirnov test comparing benchmark distribution and project duration distribution of the experiment 

	MAPE: Mean absolute percentage error comparing benchmark distribution and project duration distribution of the experiment
DOI: 10.17632/bjfdw6xbxw.2
title: Impact of limited data availability on the accuracy of project duration estimation in project networks

description: This database includes simulated data showing the accuracy of estimated probability distributions of project durations when limited data are available for the project activities. The base project networks are taken from PSPLIB. Then, various stochastic project networks are synthesized by changing the variability and skewness of project activity durations. 

Number of variables:  14
Number of cases/rows: 330028
Variable List: 
	Network ID: ID of the synthesized network	

	#Activities: Number of activities in the network, including start and finish activities	

	Net var: Variance of the activities in the network (“Net var” can be either high, low, medium or  rand, where rand shows a random combination of low, high and medium variance in the network activities.)

	Net skew: Skewness of the activities in the network (“Net skew” can be either right, left, None or  rand, where rand shows a random combination of right, left, and None skewness in the network activities)	

	Number of arcs: Number of arcs in the activity on node project network

	Benchmark mean: Mean project duration in the benchmark stochastic project network

	sample size: Number of sampled data used for the experiment resembling limited data condition

	Fitted distribution type: Distribution type used to fit on sampled data

	Average fitting KS: Kolmogorov–Smirnov(K–S) test value averaged among all K-S values resulted from the fitting process using the maximum likelihood method for network activities

	#Criticals: Number of critical activities in the project network, averaged among Monte Carlo simulation runs	

	Mean: Mean of project duration distribution for the experiment

	Variance: Variance of project duration distribution for the experiment

	KS: Kolmogorov–Smirnov test comparing benchmark distribution and project duration distribution of the experiment 

	MAPE: Mean absolute percentage error comparing benchmark distribution and project duration distribution of the experiment