cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10036132
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2019

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2019.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10036131
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2019

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2019.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10036153
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2020

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2020.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10036152
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2020

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2020.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10036162
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2021

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2021.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10036161
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2021

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2021.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10036168
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2022

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2022.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10036167
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2022

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2022.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.34740/kaggle/dsv/6781957
title: DATA STRUCTURE USING PYTHON
DOI: 10.6084/m9.figshare.23909694.v2
title: Lepidoptera records from Northern Austria 1900-2022

description: The data contain 248,018 single records of 2,266 lepidopteran species from 1900 to 2022 that were collected across an altitudinal range from 380 to 3105 m asl. For 247,371 records of 2,264 species, the exact date (day, year) as well as the exact place of capture (place of sampling converted to a GPS-coordinate) was available. The coordinates were recalculated to altitude at a precision of about 15 m.The data also contain the observed annual time series for all species as well as kernel density smoothed time series with a bandwidth of 15 days. Time series and kernel estimates are from cumulated data of two time windows (1960-1990 and 2000-2022) and three altitudinal bands (&lt;800 m asl., 800-1500 m asl., and &gt;1500 m asl.).
DOI: 10.15470/0ivtj5
title: Species inventory of the Piedra Nogal quarry, owned by San Marino, in Moratalla, Murcia (Spain)

description: Inventory of flora, avifauna and reptile species observed by visual census at the Piedra Nogal quarry, owned of San Marino, in Moratalla, Murcia (Spain). This inventory is part of the BioReSTONE project developed by the Centro Tecnol?gico del M?rmol, Piedra y Materiales. The aim of BioReSTONE is to design tools for the conservation and restoration of natural habitats and wild species in areas managed by the marble extraction industry. The initial censuses have been carried out in five quarries in Murcia, Castilla la Mancha and Andalusia. The aim is to prevent, detect early and eradicate invasive exotic species and adapt future restoration to climate change scenarios. It also aims to generate knowledge for the conservation of habitats and species of interest in the five participating quarries.
DOI: 10.18167/dvn1/agvow7
title: Original data for Piou et al. "Soil moisture from remote sensing to forecast Desert locust presence"

description: Dataset used in the analyses relating soil moisture estimates and other remote sensing estimates to the presence/absence of desert locust in Algeria, Mali, Mauriania and Morocco.
DOI: 10.34740/kaggle/dsv/6782073
title: 📒Meta Kaggle ported to SQLITE DB
DOI: 10.18167/dvn1/arutuo
title: Multi-agent model ALMMAS 1.0.2: source code

description: Multi-agent model ALMMAS 1.0.2 source code for NetLogo (v. 6.0.4)
DOI: 10.18167/dvn1/cbonrn
title: Raw data for Rohrlich et al. 2018 PLOS ONE Variation in physiological host range in three strains of two species of the entomopathogenic fungus Beauveria

description: Raw data for Rohrlich et al. 2018 PLOS ONE Variation in physiological host range in three strains of two species of the entomopathogenic fungus Beauveria
DOI: 10.18167/dvn1/zpb36l
title: Démarche qualité AMAP 2017

description: Document de mise en place de la démarche qualité dans la création des bases de données.
DOI: 10.18167/dvn1/plcbmf
title: Données sur les femmes dans les zones cotonnières du Bénin, collectées lors du projet FAM

description: Data on farming households in cotton areas of northern Benin related to characteristics of farmers, their families and their wives.
DOI: 10.11583/dtu.22654411
title: Noninvasive material anisotropy_extracted_features.zip

description: Example extract from original image using PCA and ellipse fitting. <br> This item is part of the collection: L. Wang, S. A. Bigdeli, A. N. Christensen, M. Corredig, R. Tonello, A. B. Dahl, and J. R. Frisvad, “Data for noninvasive material anisotropy estimation,” Technical University of Denmark Collection, 2023, https://doi.org/10.11583/DTU.c.6605581
DOI: 10.11583/dtu.22654411.v1
title: Noninvasive material anisotropy_extracted_features.zip

description: Example extract from original image using PCA and ellipse fitting. <br> This item is part of the collection: L. Wang, S. A. Bigdeli, A. N. Christensen, M. Corredig, R. Tonello, A. B. Dahl, and J. R. Frisvad, “Data for noninvasive material anisotropy estimation,” Technical University of Denmark Collection, 2023, https://doi.org/10.11583/DTU.c.6605581
DOI: 10.18167/dvn1/ay5b61
title: DETADATA, base de données pour décliner les problématiques de développement des zones cotonnières en Côte d'Ivoire, applicable à d'autres pays de l'Afrique francophone

description: Outil de base de données conçu sous Access avec une arborescence à quatre niveaux pour identifier les questions pertinentes à aborder dans une enquête visant à appréhender les exploitations dans les zones cotonnières et les relations avec l'environnement de l'appui à la production. Application au cas de la Côte d'Ivoire en 2014. Les éléments de réponse donnés aux questions identifiées sont issus de l'enquête auprès de 1180 exploitations et traitée par l'outil MOBECOCE. L'outil peut servir aussi d'interface pour répertorier les documents selon leur pertinence avec les questions de l'arborescence par liens hypertextes.
DOI: 10.18167/dvn1/rhbeqh
title: Phenological data on the M'Baïki site (Central African Republic) from 1991 to 2013

description: Phenological data on the M’baïki site - crown observation data for selected species important for forest functionning and in the timber trade
DOI: 10.11583/dtu.22654417
title: Noninvasive material anisotropy_materials_pic.npz

description: Original image data obtained from oblique incidence reflectometry (OIR). <br> This item is part of the collection: L. Wang, S. A. Bigdeli, A. N. Christensen, M. Corredig, R. Tonello, A. B. Dahl, and J. R. Frisvad, “Data for noninvasive material anisotropy estimation,” Technical University of Denmark Collection, 2023, https://doi.org/10.11583/DTU.c.6605581
DOI: 10.11583/dtu.22654417.v1
title: Noninvasive material anisotropy_materials_pic.npz

description: Original image data obtained from oblique incidence reflectometry (OIR). <br> This item is part of the collection: L. Wang, S. A. Bigdeli, A. N. Christensen, M. Corredig, R. Tonello, A. B. Dahl, and J. R. Frisvad, “Data for noninvasive material anisotropy estimation,” Technical University of Denmark Collection, 2023, https://doi.org/10.11583/DTU.c.6605581
DOI: 10.6084/m9.figshare.24426889
title: Migrating a Legacy System to a Microservice Architecture Data

description: Research results from Google Scholar from 2015-2023 for Migrating a Legacy System to a Microservice Architecture research paper. The research results are categorized.
DOI: 10.6084/m9.figshare.24426889.v1
title: Migrating a Legacy System to a Microservice Architecture Data

description: Research results from Google Scholar from 2015-2023 for Migrating a Legacy System to a Microservice Architecture research paper. The research results are categorized.
DOI: 10.18167/dvn1/8t4xtv
title: Data and code for the publication entitled "The limited contribution of large trees to annual biomass production in an old-growth tropical forest"

description: This archive contains all the necessary data and R script to reproduce the results of the manuscript entitled "The limited contribution of large trees to annual biomass production in an old-growth tropical forest" published in Ecological Application journal. It includes three csv files. Mbaiki_sharedData1.csv has one row per subplot. In this table, the initial stand structure and biomass fluxes (growth, mortality, recruitement) are given for each subplot. Mbaiki_sharedData2.csv has the same structure but it has one row for each diameter class and subplot. Mbaiki_sharedData3.csv is a summary table at the plot level. In these tables are used the following abbreviations in column names: "BA" for basal area (m²/ha), "N" for tree density (/ha), "QSD" or "DG" for mean quadratic diameter (cm), "growth" for the basal area or biomass produced due to tree growth, mortality for the basal area or biomass lost due to tree mortality, "recruitment" for the basal area or biomass produced due to tree recruitment, "pcBiomassInLargeTrees" the relative biomass abundance of large trees, "net" for the biomass net change, "initial" for the first census... Biomass stocks and fluxes are always given in Mg/ha and Mg/ha/year respectively. The archive also contains a script to reproduce the main analyses and figures with R software.
DOI: 10.18167/dvn1/scwxy1
title: Données Pédologique Alaorta

description: Carte pédologique du Bassin versant du lac Alaotra produite dans le cadre du projet BV-Lac. Région Alaotra Mangora. Echelle: 1/100 000 Le fichier des données au format GéoTiff n'est pas diffusé dans ce DataSet (Taille 200Mo). Pour accéder aux données, contacter l'auteur.
DOI: 10.34740/kaggle/dsv/6782229
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.6084/m9.figshare.24265000
title: Data for 'What causes site-specific intra-event variations of stable isotopes in precipitation in Beijing?'

description: Stable oxygen and hydrogen isotopic compositions in precipitation carry important climate and hydrological information on the history of water from evaporation, transport to precipitation. This study aims to quantify the effect of potential factors on site-specific intra-event isotopic compositions in precipitation, based on three precipitation events in a mid-latitude region Beijing, China. The tested factors included moisture sources (<i>M</i><sub>s</sub>), upstream rainout fraction (<i>U</i><sub>p</sub>), radar reflectivity factor (<i>Z</i><sub>e</sub>), sub-cloud evaporation fractionation (<i>f</i><sub>e</sub>), local precipitation amount (<i>L</i><sub>p</sub>) and precipitation intensity (<i>I</i>), and relative locations of the sampling sites (downwind or upwind). This work has been published in Atmospheric Research (https://doi.org/10.1016/j.atmosres.2023.107052), and raw data related to this research is available here.
DOI: 10.6084/m9.figshare.24265000.v1
title: Data for 'What causes site-specific intra-event variations of stable isotopes in precipitation in Beijing?'

description: Stable oxygen and hydrogen isotopic compositions in precipitation carry important climate and hydrological information on the history of water from evaporation, transport to precipitation. This study aims to quantify the effect of potential factors on site-specific intra-event isotopic compositions in precipitation, based on three precipitation events in a mid-latitude region Beijing, China. The tested factors included moisture sources (<i>M</i><sub>s</sub>), upstream rainout fraction (<i>U</i><sub>p</sub>), radar reflectivity factor (<i>Z</i><sub>e</sub>), sub-cloud evaporation fractionation (<i>f</i><sub>e</sub>), local precipitation amount (<i>L</i><sub>p</sub>) and precipitation intensity (<i>I</i>), and relative locations of the sampling sites (downwind or upwind). This work has been published in Atmospheric Research (https://doi.org/10.1016/j.atmosres.2023.107052), and raw data related to this research is available here.
DOI: 10.18167/dvn1/ymcuey
title: CRESI BigDataPol - Terrain Guadeloupe : Comparaison des termes extraits

description: CONTEXTE : projet CRESI BigDataPol (http://textmining.biz/Projects/BigDataPol). But : Mobiliser des approches de Big data pour l'analyse des processus et des effets des politiques publiques dans le milieu rural. Question de recherche en SHS adaptée au terrain Guadeloupe : (1) Participation citoyenne dans le processus de construction des politiques agri-environnementales. (2) Opinions de différents acteurs sur les processus d’élaboration et les effets des politiques publiques relatives à l’agroécologie en Guadeloupe. Choix d’un objet de recherche (terrain Guadeloupe) dans le cadre du Projet CERESI BigDataPol : Exemple des controverses au sujet des traitements aériens contre la cercosporiose des bananiers (car contestation citoyenne et succession d’interdiction/dérogation fruit d’un rapport de force entre société civile et producteurs de banane) en Guadeloupe. COMPARAISON DE TERMES. * Intersection des termes entre les deux corpus selon : (1) les mesures de rang (F-TFIDF_C et C_Value) et types de termes (simples et complexes) : intersection_all_cvalue, intersection_all_F-TFIDF_C, intersection_multi_cvalue, intersection_multi_F-TFIDF_C. (2) des seuils de sélection des termes sur la base des mesures de rang (n=10, 20, 50, 100, 200) : n premiers termes après surpression du bruit (à, end, etc.). * Programme et fichiers d’entrée : programme Perl (calculer_intersection‧pl), entrée (liste de termes classés - fichiers commençant par "filtre...")
DOI: 10.6084/m9.figshare.24131058
title: Supplementary Material for: Low Prognostic Nutritional Index is Common and Associated with Poor Outcomes Following Curative-intent Resection for Gastro-entero-pancreatic Neuroendocrine Tumors

description: Introduction: To investigate the impact of prognostic nutritional index (PNI) on short- and long-term outcomes of patients who underwent curative-intent resection for gastro-entero-pancreatic neuroendocrine tumors (GEP-NETs). Methods: Patients with GET-NETs who underwent curative-intent resection were identified from a multi-center database. The prognostic impact of clinicopathological factors including PNI on post-operative outcomes were evaluated. A novel nomogram was developed and externally validated. Results: A total of 2,099 patients with GEP-NETs were included in the training cohort; 255 patients were in the external validation cohort. Median PNI (n=973) was 47.4 (IQR 43.1-52.4). At the time of presentation, 1,299 (61.9%) patients presented with some type of clinical symptom. Low-PNI (≤ 42.2) was associated with gastrointestinal symptoms, as well as nodal metastasis and distant metastasis (all p&lt;0.05). Patients with a low PNI had a higher incidence of severe (≥ Clavien-Dindo grade IIIa: low PNI 24.9% vs. high PNI 15.4%, p=0.001) and multiple (≥ 3 types of complications: low PNI 14.5% vs. high PNI 9.2%, p=0.024) complications, as well as a worse overall survival (OS)(5-year OS, low PNI 73.7% vs. high PNI 88.5%, p&lt;0.001), and RFS (5-year RFS, low PNI 68.5% vs. high PNI 79.8%, p=0.008) versus patients with high PNI (&gt;42.2). A nomogram based on PNI, tumor grade and metastatic disease demonstrated excellent discrimination and calibration to predict OS in both the training (C-index 0.748) and two external validation (C-index 0.827, 0.745) cohorts. Conclusions: Low PNI was common and associated with worse short- and long-term outcomes among patients with GEP-NETs.
DOI: 10.6084/m9.figshare.24131058.v2
title: Supplementary Material for: Low Prognostic Nutritional Index is Common and Associated with Poor Outcomes Following Curative-intent Resection for Gastro-entero-pancreatic Neuroendocrine Tumors

description: Introduction: To investigate the impact of prognostic nutritional index (PNI) on short- and long-term outcomes of patients who underwent curative-intent resection for gastro-entero-pancreatic neuroendocrine tumors (GEP-NETs). Methods: Patients with GET-NETs who underwent curative-intent resection were identified from a multi-center database. The prognostic impact of clinicopathological factors including PNI on post-operative outcomes were evaluated. A novel nomogram was developed and externally validated. Results: A total of 2,099 patients with GEP-NETs were included in the training cohort; 255 patients were in the external validation cohort. Median PNI (n=973) was 47.4 (IQR 43.1-52.4). At the time of presentation, 1,299 (61.9%) patients presented with some type of clinical symptom. Low-PNI (≤ 42.2) was associated with gastrointestinal symptoms, as well as nodal metastasis and distant metastasis (all p&lt;0.05). Patients with a low PNI had a higher incidence of severe (≥ Clavien-Dindo grade IIIa: low PNI 24.9% vs. high PNI 15.4%, p=0.001) and multiple (≥ 3 types of complications: low PNI 14.5% vs. high PNI 9.2%, p=0.024) complications, as well as a worse overall survival (OS)(5-year OS, low PNI 73.7% vs. high PNI 88.5%, p&lt;0.001), and RFS (5-year RFS, low PNI 68.5% vs. high PNI 79.8%, p=0.008) versus patients with high PNI (&gt;42.2). A nomogram based on PNI, tumor grade and metastatic disease demonstrated excellent discrimination and calibration to predict OS in both the training (C-index 0.748) and two external validation (C-index 0.827, 0.745) cohorts. Conclusions: Low PNI was common and associated with worse short- and long-term outcomes among patients with GEP-NETs.