cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25810/q1-ts57.42
title: Russian Newspaper Coverage of Climate Change or Global Warming, 2000-2024 - February 2024

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.34740/kaggle/dsv/7888991
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.25810/37f9-1j65.71
title: Spanish Newspaper Coverage of Climate Change or Global Warming, 2000-2024 - February 2024

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25345/c5cf9jj13
title: MassIVE MSV000094364 - GNPS - Dataset Creation from GNPS Molcular Networking - DOM metabolization from cyanobacterial and non cyanobacterial diazotrophs
title: In collaboration with Mar Benavides (CNRS, France)
DOI: 10.5281/zenodo.10840397
title: gurania_lobata_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10840398
title: gurania_lobata_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10840281
title: Navigare necesse est: Guiana dolphin movements, through three decades, between Sepetiba and Ilha Grande bays, South-eastern Brazil.

description: Supplementary material of the short note intitled "Navigare necesse est: Guiana dolphin movements, through three decades, between Sepetiba and Ilha Grande bays, South-eastern Brazil". Contain complementary maps and the sightings data set.
DOI: 10.5281/zenodo.10840282
title: Navigare necesse est: Guiana dolphin movements, through three decades, between Sepetiba and Ilha Grande bays, South-eastern Brazil.

description: Supplementary material of the short note intitled "Navigare necesse est: Guiana dolphin movements, through three decades, between Sepetiba and Ilha Grande bays, South-eastern Brazil". Contain complementary maps and the sightings data set.
DOI: 10.5281/zenodo.10840413
title: gerrardanthus_grandiflorus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10840414
title: gerrardanthus_grandiflorus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10840357
title: data_coping

description: Dataset associated with the paper: "Coping strategies in mothers of children with autism and attention deficit hyperactivity disorder. Latent profile analysis"
DOI: 10.5281/zenodo.10840358
title: data_coping

description: Dataset associated with the paper: "Coping strategies in mothers of children with autism and attention deficit hyperactivity disorder. Latent profile analysis"
DOI: 10.6084/m9.figshare.25438213
title: Open source code and data files_Walters et al. 2024_<b>Extreme heat exposure of host plants indirectly reduces solitary bee fecundity and survival</b>

description: Open source code and data files for <b>Extreme heat exposure of host plants indirectly reduces solitary bee fecundity and survival</b>. Code can be found in the .rmd file and data files found in the .xlsx file.
DOI: 10.6084/m9.figshare.25438213.v1
title: Open source code and data files_Walters et al. 2024_<b>Extreme heat exposure of host plants indirectly reduces solitary bee fecundity and survival</b>

description: Open source code and data files for <b>Extreme heat exposure of host plants indirectly reduces solitary bee fecundity and survival</b>. Code can be found in the .rmd file and data files found in the .xlsx file.
DOI: 10.21227/fs3m-4c23
title: Craniometric Measurement Data for Caribbean Healthcare Workers

description: A craniometry study was undertaken to obtain anthropometric measurements of three hundred and five (305) medical staff within Trinidad & Tobago which is a twin island republic situated in the Caribbean. A non-contact measurement method was used involving 3D scanning equipment to record the geometry of each subject’s head as a digital file. The digital files were then processed using CAD software to obtain measurements for twenty-two (22) facial points of interest. In addition, the gender of each staff member was recorded. The anthropometric data was required in order to design properly sized and safe head gear and related equipment for use by medical staff. The data set represents the repository of the craniometric measurements which included: head height; head breadth; head length; head circumference; face length; lower face length; sellion-bottom lip length; bottom lip-menton length; nasal bridge-menton length; nasal bridge-chin length; chin-menton length; nose length; nose protrusion; face width; chin width; nasal root breadth; maximum nasal bridge breadth; nose width; lip width; bitragion-menton arc; bitragion-subnasal arc; bizygomatic-menton arc.In executing the analysis of the facial measurements, several opportunities for further work became evident:·         Investigation of the twenty-one (21) facial feature measurements to create fit panels for the Caribbean population·         Further research on the impact of other demographic factors such as age, gender or ethnicity on facial feature
DOI: 10.5281/zenodo.10840532
title: hedychium_flavescens_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10840533
title: hedychium_flavescens_spades_01.fasta.gz

description: .
DOI: 10.48324/dandi.000935/0.240319.2026
title: Interluminescence:  Selective Control of Synaptically-Connected Circuit Elements using bioluminescence

description: This is the repository for in vivo extracellular electrophysiology testing a bioluminescent-optogenetic synaptic element. In this experiment (see doi: 10.1038/s42003-021-02981-7), extracellular electrophysiology data and 1-photon bioluminescent imaging data were recorded from six PV-Cre mice under isoflurane anesthesia. There are two groups (Opsin(+) and Opsin(-), see session description and doi: 10.1038/s42003-021-02981-7 for details) of 3 animals each. For all animals a baseline of ~3 minutes of data was recorded, after which the bioluminescent luciferin Coelenterazine was infused into a saline well over an open craniotomy exposing barrel cortex. Time Intervals in the data set designate the start and stop times of Coelenterazine infusion in seconds.
DOI: 10.5066/p9l6dmol
title: Arsenic concentration results utilizing a novel field integrated biosensor system, New Hampshire, 2019

description: This dataset reports total arsenic (AsTot) results analyzed using an in-field biosensor system, Field-Ready Electrochemical Detector for Arsenic (FRED-Arsenic), developed by FREDsense Technologies Corp., Calgary, Alberta, Canada. Samples were collected from two public-supply wells (NH-SGW 93 and NH-SGW 65) and one private well (NH-KFW 87). NH-SGW 93 and NH-KFW 87 both withdraw water from a crystalline-rock aquifer. NH-SGW 65 withdraws water from a glacial sand and gravel aquifer. Twelve samples for NH-KFW 87 were collected and analyzed on May 14, 2019 with sample times ranging from 0730 to 1800, and 12 samples were collected and analyzed on August 20, 2019 with sample times ranging from 0830 to 1320. Eleven samples for NH-SGW 93 were collected and analyzed on May 15, 2019 with sample times ranging from 0838 to 1437, with the last sample collected when the pump was turned off; 12 sampled were collected and analyzed on August 21, 2019 with sample times ranging from 0807 to 1159. Twelve samples for NH-SGW 65 were collected and analyzed on May 16, 2019 with sample times ranging from 0931 to 1400; 12 samples were collected and analyzed on August 22, 2019 with sample times ranging from 0813 to 1057.
DOI: 10.5517/ccdc.csd.cc2dyvz6
title: CCDC 2233239: Experimental Crystal Structure Determination

description: Related Article: Shutao Qi, Wenshao Ye, Yunkai Hua, Liangkai Pan, Junfeng Yang, Junliang Zhang|2023|Nat. Synth.|3|357|doi:10.1038/s44160-023-00448-7
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.10840583
title: rubia_fruticosa_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10840584
title: rubia_fruticosa_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.25225787
title: Nonparametric Additive Models for Billion Observations

description: The nonparametric additive model (NAM) is a widely used nonparametric regression method. Nevertheless, due to the high computational burden, classic statistical techniques for fitting NAMs are not well-equipped to handle massive data with billions of observations. To address this challenge, we develop a scalable element-wise subset selection method, referred to as Core-NAM, for fitting penalized regression spline based NAMs. Specifically, we first propose an approximation of the penalized least squares estimation, based on which we develop an efficient variant of generalized cross-validation (GCV) to select the smoothing parameter and approximate the Bayesian confidence intervals for statistical inference. Theoretically, we show that the proposed estimator approximately minimizes an upper bound of the estimation mean squared error. Moreover, we provide a non-asymptotic approximation guarantee for the proposed estimator and establish the asymptotic optimality of the proposed variant of GCV. Extensive simulations demonstrate the superior accuracy and efficiency of the Core-NAM method. We also apply the proposed method to a total column ozone dataset containing nearly one billion observations, and the results indicate a speed-up by almost a thousand times with comparable performance compared to the full data approach. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.25225787.v1
title: Nonparametric Additive Models for Billion Observations

description: The nonparametric additive model (NAM) is a widely used nonparametric regression method. Nevertheless, due to the high computational burden, classic statistical techniques for fitting NAMs are not well-equipped to handle massive data with billions of observations. To address this challenge, we develop a scalable element-wise subset selection method, referred to as Core-NAM, for fitting penalized regression spline based NAMs. Specifically, we first propose an approximation of the penalized least squares estimation, based on which we develop an efficient variant of generalized cross-validation (GCV) to select the smoothing parameter and approximate the Bayesian confidence intervals for statistical inference. Theoretically, we show that the proposed estimator approximately minimizes an upper bound of the estimation mean squared error. Moreover, we provide a non-asymptotic approximation guarantee for the proposed estimator and establish the asymptotic optimality of the proposed variant of GCV. Extensive simulations demonstrate the superior accuracy and efficiency of the Core-NAM method. We also apply the proposed method to a total column ozone dataset containing nearly one billion observations, and the results indicate a speed-up by almost a thousand times with comparable performance compared to the full data approach. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.25222264
title: Functional Linear Model with Prior Information of Subjects’ Network

description: In many modern applications, data samples are interconnected by a network, and network information is a crucial factor in forecasting. However, existing network data analysis methods, which are designed for scalar data, are not effective for infinite-dimensional function data, particularly when functional predictors are observed on an irregular sampling design. In this article, we propose a functional linear model for network-linked data. To improve the estimation and prediction, the network cohesion is enforced using the Laplace quadratic penalty function. The statistical properties of the proposed model are studied, and an extension to high-dimensional functional data is developed to simultaneously select relevant functional predictors and estimate the coefficient functions. Simulation results and real data application demonstrate the satisfactory performance of the proposed methods. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.25222264.v2
title: Functional Linear Model with Prior Information of Subjects’ Network

description: In many modern applications, data samples are interconnected by a network, and network information is a crucial factor in forecasting. However, existing network data analysis methods, which are designed for scalar data, are not effective for infinite-dimensional function data, particularly when functional predictors are observed on an irregular sampling design. In this article, we propose a functional linear model for network-linked data. To improve the estimation and prediction, the network cohesion is enforced using the Laplace quadratic penalty function. The statistical properties of the proposed model are studied, and an extension to high-dimensional functional data is developed to simultaneously select relevant functional predictors and estimate the coefficient functions. Simulation results and real data application demonstrate the satisfactory performance of the proposed methods. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.25222264.v1
title: Functional linear model with prior information of subjects’ network

description: In many modern applications, data samples are interconnected by a network, and network information is a crucial factor in forecasting. However, existing network data analysis methods, which are designed for scalar data, are not effective for infinite-dimensional function data, particularly when functional predictors are observed on an irregular sampling design. In this paper, we propose a functional linear model for network-linked data. To improve the estimation and prediction, the network cohesion is enforced using the Laplace quadratic penalty function. The statistical properties of the proposed model are studied, and an extension to high-dimensional functional data is developed to simultaneously select relevant functional predictors and estimate the coefficient functions. Simulation results and real data application demonstrate the satisfactory performance of the proposed methods.
DOI: 10.6084/m9.figshare.24595929.v1
title: Elemental Analysis - Summary

description: Polymers were analyzed for CHN, and S using an elemental analyzer, F using an ion-selective electrode, and 68-elemental screen using ICP-MS. Attached are excel file of data processing summaries of each analysis.
DOI: 10.6084/m9.figshare.24595929
title: Elemental Analysis - Summary

description: Polymers were analyzed for CHN, and S using an elemental analyzer, F using an ion-selective electrode, and 68-elemental screen using ICP-MS. Attached are excel file of data processing summaries of each analysis.
DOI: 10.6084/m9.figshare.25425820
title: Maximum entropy determination of mammalian proteome dynamics: supplementary data and analysis files

description: Supplemental datasets and analysis files for publication "Maximum entropy determination of mammalian proteome dynamics"
DOI: 10.21966/446t-q065
title: Hakai Place Names Service - Coastal British Columbia - Canada
title: Service des noms de lieux Hakai - Côte de la Colombie-Britannique - Canada

description: The place names service is derived from the British Columbia Terrain Resource Information Management Program (TRIM) annotation layer, as well as from place name information from the Hakai Institute.

The place names service consists of 4 layers:
-TRIM 1:20000 Annotation
-TRIM 1:1250000 Annotation
-TRIM 1:250000 Annotation
-Hakai Place Names

The TRIM Annotation metadata is available here http://catalogue.data.gov.bc.ca/dataset/trim-text-annotation
More information about the TRIM program is here: http://geobc.gov.bc.ca/base-mapping/atlas/trim/

The Hakai Places Layer has the following attributes:
OBJNAM: Name of the feature
Landmarks: Code used to classify objects for labelling scale dependencies
OBJTYPE: Type of object
OBJCLASS: Class of object
LABGROUP: Label group category (unused)

Processing by:
Will McInnes, Keith Holmes (Hakai Institute), and BC Base Annotations data
description: Le service de noms de lieux est dérivé de la couche d'annotations TRIM (British Columbia Terrain Resource Information Management Program), ainsi que des informations sur les noms de lieux de l'Institut Hakai.

Le service des noms de lieux se compose de 4 couches :
-TRIM 1:20000 Annotation
-TRIM 1:1250000 Annotation
-TRIM 1:250000 Annotation
-Noms de lieux Hakai

Les métadonnées d'annotation TRIM sont disponibles ici http://catalogue.data.gov.bc.ca/dataset/trim-text-annotation
Vous trouverez plus d'informations sur le programme TRIM ici : http://geobc.gov.bc.ca/base-mapping/atlas/trim/

La couche Hakai Places possède les attributs suivants :
OBJNAM : Nom de la fonctionnalité
Points de repère : Code utilisé pour classer les objets pour l'étiquetage des dépendances d'échelle
OBJTYPE : Type d'objet
OBJCLASS : Classe d'objet
LABGROUP : catégorie de groupe d'étiquettes (inutilisée)

Traitement par :
Données de Will McInnes, Keith Holmes (Hakai Institute) et BC Base Annotations
DOI: 10.5067/abbhpuigjh5m
title: WLDAS Noah-MP 3.6 Land Surface Model L4 Daily 0.01 degree x 0.01 degree, Version D1.0
DOI: 10.5281/zenodo.10698873
title: Replication Data for: One-dimensional proximity superconductivity in the quantum Hall regime
DOI: 10.5281/zenodo.10698874
title: Replication Data for: One-dimensional proximity superconductivity in the quantum Hall regime
DOI: 10.5883/ds-dodia
title: A review of the genus Dodia Dyar, 1901 (Lepidoptera: Erebidae, Arctiinae) with description of a new remarkable species from the Russian Far East.

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.34740/kaggle/dsv/7889434
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.5281/zenodo.10839628
title: Data for: Ecological associations distribution modelling of marine plankton at global scale (2024)

description: Datasets used to generate and project ADMs.

Click here to access to the git repository
DOI: 10.5281/zenodo.10839629
title: Data for: Ecological associations distribution modelling of marine plankton at global scale (2024)

description: Datasets used to generate and project ADMs.

Click here to access to the git repository
DOI: 10.5281/zenodo.10840644
title: clupeocharax_schoutedeni_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10840645
title: clupeocharax_schoutedeni_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10840680
title: ladigesia_roloffi_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10840681
title: ladigesia_roloffi_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10837528
title: Modelling outputs of the AWESOME water supply model of the Nile River Basin

description: This folder contains the output of the water supply model as trajectories for the simulated storage levels and water release for the Grand Ethiopian Renaissance Dam, Merowe Dam, and High Aswan Dam. The trajectories are simulated under both historical climatic and water demand scenarios, as well as for future climatic and demographic scenarios (RCP4.5 + SSP2).

h_GERD_ : Grand Ethiopian Renaissance Dam water level

h_MER_ : Merowe Dam water level

h_HAD_ : High Aswan Dam water level

r_GERD_ : Water release from Grand Ethiopian Renaissance Dam

r_HAD_ : Water release from High Aswan Dam

BestHP_hist: Best performance for hydropower production at the basin level under historical conditions of water availability and demand 

BestEgypt_hist: Best performance for irrigation deficit in Egypt under historical conditions of water availability and demand 

BestSudan_hist: Best performance for irrigation deficit in Sudan under historical conditions of water availability and demand

LowReduction_hist: Low water reduction solution under historical conditions of water availability and demand 

MediumReduction_hist: Best performance for irrigation deficit in Egypt under historical conditions of water availability and demand 

LowReduction_2050: Low water reduction solution under climatic (RCP4.5) and demographic projection (SSP2) in 2050 

MediumReduction_2050: Best performance for irrigation deficit in Egypt under climatic (RCP4.5) and demographic projection (SSP2) in 2050
DOI: 10.5281/zenodo.10837529
title: Modelling outputs of the AWESOME water supply model of the Nile River Basin

description: This folder contains the output of the water supply model as trajectories for the simulated storage levels and water release for the Grand Ethiopian Renaissance Dam, Merowe Dam, and High Aswan Dam. The trajectories are simulated under both historical climatic and water demand scenarios, as well as for future climatic and demographic scenarios (RCP4.5 + SSP2).

h_GERD_ : Grand Ethiopian Renaissance Dam water level

h_MER_ : Merowe Dam water level

h_HAD_ : High Aswan Dam water level

r_GERD_ : Water release from Grand Ethiopian Renaissance Dam

r_HAD_ : Water release from High Aswan Dam

BestHP_hist: Best performance for hydropower production at the basin level under historical conditions of water availability and demand 

BestEgypt_hist: Best performance for irrigation deficit in Egypt under historical conditions of water availability and demand 

BestSudan_hist: Best performance for irrigation deficit in Sudan under historical conditions of water availability and demand

LowReduction_hist: Low water reduction solution under historical conditions of water availability and demand 

MediumReduction_hist: Best performance for irrigation deficit in Egypt under historical conditions of water availability and demand 

LowReduction_2050: Low water reduction solution under climatic (RCP4.5) and demographic projection (SSP2) in 2050 

MediumReduction_2050: Best performance for irrigation deficit in Egypt under climatic (RCP4.5) and demographic projection (SSP2) in 2050
DOI: 10.6084/m9.figshare.24955368
title: Datasets used to evaluate the psychometric properties of the Negative Acts Questionnaire-Revised (NAQ-R)

description: Datasets used to evaluate the psychometric properties of the Negative Acts Questionnaire-Revised (NAQ-R)
DOI: 10.6084/m9.figshare.24955368.v1
title: Datasets used in the paper "Assessing Workplace Bullying: Psychometric Analysis of the Negative Acts Questionnaire-Revised (NAQ-R) Among Brazilian Teachers"

description: Datasets used to evaluate the psychometric properties of the Negative Acts Questionnaire-Revised (NAQ-R)
DOI: 10.6084/m9.figshare.24955368.v2
title: Datasets used to evaluate the psychometric properties of the Negative Acts Questionnaire-Revised (NAQ-R)

description: Datasets used to evaluate the psychometric properties of the Negative Acts Questionnaire-Revised (NAQ-R)