cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22233304
title: Data_SCI_ptilo.xlsx

description: Sylvicultural practices are increasingly directed at forest conservation, restoration and sustainable management. Forests with higher structural complexity are expected to be more resilient against climate change impacts and to have a higher diversity of ecological niches. The impact of forest structural complexity on individual organisms, however, is less well known. To bridge this knowledge gap, we here test if structurally more complex forests provide a more favourable nutritional environment for forests birds, using ptilochronology as an indicator for individual condition. We therefore measured the width of growth bars in tail feathers of great tits (<em>Parus major</em>) captured in 19 forest plots along a gradient of increasing structural complexity. After validating our assumption that series of growth bars reflect the outcome of an energetic income vs. expenditure balance with possible consequences for health and fitness, we show that birds in structurally more complex forests maintain a better nutritional status, probably due to a higher and more stable availability of food resources and more sheltered habitat. Dominant tree species, architecture and associated ecology also play an important role, as some of the observed relationships appear to be tree species-specific. Overall, we demonstrate the importance of a complex forest structure and herb layer, and argue for the need for individual research on the condition, performance and health of forest species to inform managers and policymakers on the impact of changing forestry practices on biodiversity and ecosystem functioning.
DOI: 10.34740/kaggle/dsv/5129523
title: S&P500 prices and FED interest rates 1954 - 2023
DOI: 10.6084/m9.figshare.22233313.v1
title: Metagenomes and metagenome-assembled genomes from Otaria flavescens from the Comau Fjord (42 ºS), Patagonia

description: Supplemental data to dataset of metagenomes and meta genome assembled genomes from the gut of Otaria flavescens in Patagonia
DOI: 10.34740/kaggle/ds/2979464
title: S&P500 prices and FED interest rates 1954 - 2023
DOI: 10.5281/zenodo.5212428
title: Required instrumentation and data acquisition system

description: Required instrumentation and data acquisition system
DOI: 10.5281/zenodo.5212427
title: Required instrumentation and data acquisition system

description: Required instrumentation and data acquisition system
DOI: 10.6084/m9.figshare.22233067
title: Data from: Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success

description: This dataset result from field monitoring using an automated 3D image-based tracking system to study the behavioural interactions between the Western honey bee <em>Apis melifera</em> and its invasive predator the Asian hornet, <em>Vespa velutina nigrithorax,</em> in western France. We recorded a total of 603,259 flight trajectories and 5,175 predator-prey flight interactions leading to 126 successful predation events, representing 2.4% predation success. The data are related to the scientific paper "Poidatz, J., Chiron, G., Kennedy, P., Osborne, J., Requier, F. (2023) Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success. Ecology and Evolution". <br> Two datasets are available: (1) the csv file title "data.trajectory.csv" that includes all the trajectories reccorded. This file includes 603,259 ligns and 10 columns: #ID_traj = trajectory identity number #Date = Date of the trajectory reccord #Hour = time of the start of the trajectory (hour : min : sec) #Type_traj = Type of the trajectory (0 for a honey bee and 1 for a Asian hornet) #Nat_traj = Nature of the trajectory (0 for an undefined trajectory passing trough the camera; 1 for a trajectory leaving the hive; 2 for a trajectory entering the hive) #Max_speed = Maximum speed observed throughout the trajectory in m/sec #Dist_Tot = Total distance traveled (odometry) in meters #Dist_Crow = Distance traveled as the crow flies (naive distance between the point of departure and the point of arrival) in meters #Curvature = Curvature of the trajectory based on the calculation Dist_Tot/Dist_Crow #Hov_perc = Hovering percentage as the % of static time over the duration of the trajectory (2) the csv file title "data.predation.success.csv" that includes the trajectories resulting in a predation success. This file includes 131 ligns and 4 columns: #ID_traj = trajectory identity number #Date = Date of the trajectory reccord #Hour_catch = time of the catch event begening (hour : min : sec) #Bee_IN_vs_OUT = orientation of the honey bee whose trajectory is looked at : IN for entering the hive, OUT for exiting the hive, NA for neither entering nor exiting the hive. <br> <br> <br>
DOI: 10.6084/m9.figshare.22217038.v3
title: Dataset: Investigating completeness and inequalities in OpenStreetMap - spatio-temporal analysis of global urban building data

description: Here we provide the data for reproducing the analysis and figures presented in the global urban OSM building completeness analysis manuscript.
DOI: 10.5281/zenodo.7706020
title: Dataset associated with: "An in silico infrared spectral library of molecular ions for metabolite identification"

description: Dataset associated with the publication: "An in silico infrared spectral library of molecular ions for metabolite identification" Both the experimental and computational data are also available on the website of the human metabolome database (https://hmdb.ca/).
DOI: 10.5281/zenodo.7706021
title: Dataset associated with: "An in silico infrared spectral library of molecular ions for metabolite identification"

description: Dataset associated with the publication: "An in silico infrared spectral library of molecular ions for metabolite identification" Both the experimental and computational data are also available on the website of the human metabolome database (https://hmdb.ca/).
DOI: 10.25318/9810057201-eng
title: Long-form data quality indicators for commuting: Canada, provinces and territories, census divisions and census subdivisions

description: Data on long-form data quality indicators for 2021 Census commuting content, Canada, provinces and territories, census divisions and census subdivisions.
DOI: 10.25318/9810057201-fra
title: Indicateurs de qualité des données du questionnaire détaillé pour le navettage : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement

description: Données sur les indicateurs de qualité des données du questionnaire détaillé pour le contenu sur le navettage du Recensement de 2021, Canada, provinces et territoires, divisions de recensement et subdivisions de recensement.
DOI: 10.5281/zenodo.7708804
title: Molecular and 13C isotopic composition of diacids and related compounds in wintertime PM2.5 at three sites over Northeast Asia – Data set

description: To investigate the spatial changes in atmospheric organic aerosols (OA) loading and composition over the northeast Asian region, fine aerosols (PM<sub>2.5</sub>) were collected at three sites: Tianjin (TJ), North China and in Padori (PD) and Daejeon (DJ), South Korea, during winter 2019. We studied the molecular distributions and compound-specific carbon isotopic composition (δ<sup>13</sup>C) of dicarboxylic acids (diacids), oxocarboxylic acids (oxoacids) and α-dicarbonyls as well as the carbonaceous and inorganic ionic components in two sets of selected samples, representing a clean and a polluted period, during the campaign. Based on the molecular distributions and δ<sup>13</sup>C of diacids and related compounds and mass ratios and linear relations of selected species, we discuss the origins of OA and the influence of long-range transported air masses on their loading and composition over Northeast Asia.
description: Acknowledgements. This work was partly funded by the National Natural Science Foundation of China (Grant Nos. 41775120 & 42277090), China, and a grant (22011085) from the Korea Research Institute of Standards and Science (KRISS) under the establishment of measurement standard for secondary nitrogen oxide.
DOI: 10.5281/zenodo.7708803
title: Molecular and 13C isotopic composition of diacids and related compounds in wintertime PM2.5 at three sites over Northeast Asia – Data set

description: To investigate the spatial changes in atmospheric organic aerosols (OA) loading and composition over the northeast Asian region, fine aerosols (PM<sub>2.5</sub>) were collected at three sites: Tianjin (TJ), North China and in Padori (PD) and Daejeon (DJ), South Korea, during winter 2019. We studied the molecular distributions and compound-specific carbon isotopic composition (δ<sup>13</sup>C) of dicarboxylic acids (diacids), oxocarboxylic acids (oxoacids) and α-dicarbonyls as well as the carbonaceous and inorganic ionic components in two sets of selected samples, representing a clean and a polluted period, during the campaign. Based on the molecular distributions and δ<sup>13</sup>C of diacids and related compounds and mass ratios and linear relations of selected species, we discuss the origins of OA and the influence of long-range transported air masses on their loading and composition over Northeast Asia.
description: Acknowledgements. This work was partly funded by the National Natural Science Foundation of China (Grant Nos. 41775120 & 42277090), China, and a grant (22011085) from the Korea Research Institute of Standards and Science (KRISS) under the establishment of measurement standard for secondary nitrogen oxide.
DOI: 10.25318/9810057301-eng
title: Long-form data quality indicators for expenditures: Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions

description: Data on long-form data quality indicators for 2021 Census expenditures content, Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions.
DOI: 10.25625/hvnckg/soctuw
title: README.md

description: General information about the dataset and links to related project data.
DOI: 10.25625/hvnckg/kdh9ne
title: RTG2300SP7_SPECIES_CODES.tab

description: Key to species codes used in capture data.
DOI: 10.25625/hvnckg/6vdgse
title: RTG2300SP7_SmallMammal_CaptureData.tab

description: Summary of individuals captured during each small mammal survey.
DOI: 10.25625/hvnckg
title: Small Mammal Diversity

description: This dataset provides small mammal capture summaries from the project "RTG 2300 - Enrichment of European beech forests with conifers" for each study plot over the course of 3 years, for one survey per year. The aim of the project was to determine if forest stands of three tree species, European beech (Fagus sylvatica), Norway spruce (Picea abies) and Douglas-fir (Pseudotsuga menziesii) and mixed stands of beech with each of the two conifers led to different small mammal community assemblages. All study plots were located in the state of Lower Saxony in Northern Germany; precise locations and other related plot-level data are available from the linked RTG 2300 datasets.
DOI: 10.35078/3h6rzr/1hkmb1
title: Braúna A.jpg

description: :unav
DOI: 10.35078/3h6rzr/1opqdr
title: Mata da Barca B.jpg

description: :unav
DOI: 10.35078/3h6rzr/0dwnsb
title: Cima II A.jpg

description: :unav
DOI: 10.35078/3h6rzr/02tsva
title: Areião B.jpg

description: :unav
DOI: 10.35078/3h6rzr/svkegr
title: São Miguel A.jpg

description: :unav
DOI: 10.35078/3h6rzr/sqo90l
title: São Sebastião II A.jpg

description: :unav
DOI: 10.35078/3h6rzr/krcppw
title: Rocinha A.jpg

description: :unav
DOI: 10.35078/3h6rzr/7xzrk9
title: Planalto da Jaguara A.jpg

description: :unav
DOI: 10.35078/3h6rzr/lzkmt1
title: Cima I B.jpg

description: :unav
DOI: 10.35078/3h6rzr/rsko6o
title: Cana do Reino C.jpg

description: :unav
DOI: 10.35078/3h6rzr/8ledwg
title: Fábrica Precom A.jpg

description: :unav
DOI: 10.35078/3h6rzr/qac1cg
title: Bom Jesus 2º Av.Equador A.jpg

description: :unav
DOI: 10.35078/3h6rzr/oyl4wq
title: Perdigão A.jpg

description: :unav
DOI: 10.35078/3h6rzr/2rjkng
title: Mocambeiro 1º B.jpg

description: :unav
DOI: 10.35078/3h6rzr/hwiunw
title: Riacho de Baixo B.jpg

description: :unav
DOI: 10.35078/3h6rzr/ls3t8k
title: Braúna B.jpg

description: :unav
DOI: 10.35078/3h6rzr/kso6o8
title: Cruzeiro B.jpg

description: :unav
DOI: 10.35078/3h6rzr/4rbzwo
title: São Sebastião B.jpg

description: :unav
DOI: 10.35078/3h6rzr/wywsg8
title: Matozinhos B.jpg

description: :unav
DOI: 10.35078/3h6rzr/op5jav
title: Pedra Bonita A.jpg

description: :unav
DOI: 10.35078/3h6rzr/0vvbot
title: Santa Fortunosa A.jpg

description: :unav
DOI: 10.35078/3h6rzr/nrkzc3
title: Gia A.jpg

description: :unav
DOI: 10.35078/3h6rzr/vv4hll
title: Belgo Mineira A.jpg

description: :unav
DOI: 10.35078/3h6rzr/cdozz0
title: Cafezal A.jpg

description: :unav
DOI: 10.35078/3h6rzr/g7sucq
title: Cafezal B.jpg

description: :unav
DOI: 10.35078/3h6rzr/rl5nyw
title: Peri-Peri A.jpg

description: :unav
DOI: 10.35078/3h6rzr/4rpdbe
title: Bom Jesus IV B.jpg

description: :unav
DOI: 10.35078/3h6rzr/h1qlns
title: Cruzeiro A.jpg

description: :unav
DOI: 10.35078/3h6rzr/7dilwm
title: Planalto da Jaguara B.jpg

description: :unav
DOI: 10.35078/3h6rzr/foidfj
title: Mané do Porto A.jpg

description: :unav
DOI: 10.35078/3h6rzr/rdsuhh
title: Turma da Floresta A.jpg

description: :unav
DOI: 10.35078/3h6rzr/3e7gb5
title: Ipê A.jpg

description: :unav
DOI: 10.35078/3h6rzr/wuugy1
title: Experiência B.jpg

description: :unav
DOI: 10.35078/3h6rzr/0wfch6
title: Fábrica Calmar A.jpg

description: :unav
DOI: 10.35078/3h6rzr/kopht2
title: Matozinhos C.jpg

description: :unav
DOI: 10.35078/3h6rzr/hcndfo
title: Riacho Danta A.jpg

description: :unav
DOI: 10.35078/3h6rzr/zigvpn
title: Horto do Paiol B.jpg

description: :unav
DOI: 10.35078/3h6rzr/mnteoq
title: Embracal A.jpg

description: :unav
DOI: 10.35078/3h6rzr/bjhyk8
title: Floresta B.jpg

description: :unav
DOI: 10.35078/3h6rzr/uqbbym
title: Vargem Comprida A.jpg

description: :unav
DOI: 10.5281/zenodo.6481379
title: Fatiando a Terra Data: Southern Africa - Topography and Bathymetry

description: This is a topography and bathymetry grid with a resolution of 1 arc-minute over Southern Africa. The grid was generated by cropping the ETOPO1 global topography grid. The heights are referenced to the mean sea level. <strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the Fatiando a Terra project. Please <strong>cite the original authors</strong> when using this dataset. <strong>Changes made:</strong> Data were cropped to a region that covers only the Southern Africa. Coordinates have been renamed to <em>longitude</em> and <em>latitude</em>. The dataset has been renamed to <em>topography</em>. The metadata of the dataset have been improved following CF-conventions. <strong> </strong> <strong>Source: </strong>ETOPO1 https://doi.org/10.7289/V5C8276M <strong>Source license: </strong>public domain <strong>Repository: </strong>https://github.com/fatiando-data/southern-africa-topography
DOI: 10.35078/3h6rzr/fjju6i
title: Bebedouro B.jpg

description: :unav
DOI: 10.5281/zenodo.6481378
title: Fatiando a Terra Data: Southern Africa - Topography and Bathymetry

description: This is a topography and bathymetry grid with a resolution of 1 arc-minute over Southern Africa. The grid was generated by cropping the ETOPO1 global topography grid. The heights are referenced to the mean sea level. <strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the Fatiando a Terra project. Please <strong>cite the original authors</strong> when using this dataset. <strong>Changes made:</strong> Data were cropped to a region that covers only the Southern Africa. Coordinates have been renamed to <em>longitude</em> and <em>latitude</em>. The dataset has been renamed to <em>topography</em>. The metadata of the dataset have been improved following CF-conventions. <strong> </strong> <strong>Source: </strong>ETOPO1 https://doi.org/10.7289/V5C8276M <strong>Source license: </strong>public domain <strong>Repository: </strong>https://github.com/fatiando-data/southern-africa-topography
DOI: 10.35078/3h6rzr/xf1zps
title: Perdigão B.jpg

description: :unav
DOI: 10.35078/3h6rzr/websbp
title: Roseira A.jpg

description: :unav
DOI: 10.35078/3h6rzr/ojtflc
title: Camig B.jpg

description: :unav
DOI: 10.35078/3h6rzr/eaehtq
title: Floresta A.jpg

description: :unav
DOI: 10.35078/3h6rzr/lajiuw
title: Araçás B.jpg

description: :unav
DOI: 10.35078/3h6rzr/txgw7s
title: Santo Antonio I B.jpg

description: :unav
DOI: 10.35078/3h6rzr/eno6pi
title: Bom Jesus IV A.jpg

description: :unav
DOI: 10.35078/3h6rzr/ydrqk1
title: Embracal B.jpg

description: :unav
DOI: 10.35078/3h6rzr/dhbvbd
title: Fábrica Calmar B.jpg

description: :unav
DOI: 10.35078/3h6rzr/ry1hog
title: Canais A.jpg

description: :unav
DOI: 10.35078/3h6rzr/x1j9i6
title: Camig II A.jpg

description: :unav
DOI: 10.35078/3h6rzr/crwwnd
title: Riacho de Baixo A.jpg

description: :unav
DOI: 10.35078/3h6rzr/8sf7by
title: Bom Jardim de Baixo A.jpg

description: :unav
DOI: 10.35078/3h6rzr/afmomf
title: DICIONARIO_KARDEX_PROGRAMA_CONTROLE_DOENÇA_CHAGAS.pdf

description: Dicionário para interpretação da ficha epidemiologica (Kardex)
DOI: 10.34934/dvn/mo4exz
title: SUPER DADA for Dataverse 4+ [Version 2.0]

description: SUPER DADA is a bash script that adapts XML-DDI metadata files produced by Dataverse in order to make them compliant with the technical requirements of the CESSDA Data Catalogue (CDC). This version of the script is geared towards versions 4+ of Dataverse. In its current state, SUPER DADA modifies XML-DDI files produced by a version 4+ Dataverse installation so that the files become fully compliant with the 'BASIC' level of validation (or 'validation gate') of the CESSDA Metadata Validator against the CESSDA Data Catalogue (CDC) DDI 2.5 Profile 1.0.4. See the README file for technical details and specifications.
DOI: 10.34934/dvn/aoqrsj
title: SUPER DADA for Dataverse 5+ [Version 2.0]

description: SUPER DADA is a bash script that adapts XML-DDI metadata files produced by Dataverse in order to make them compliant with the technical requirements of the CESSDA Data Catalogue (CDC). This version of the script is geared towards versions 5+ of Dataverse. In its current state, SUPER DADA modifies XML-DDI files produced by a version 5+ Dataverse installation so that the files become fully compliant with the 'BASIC' level of validation (or 'validation gate') of the CESSDA Metadata Validator against the CESSDA Data Catalogue (CDC) DDI 2.5 Profile 1.0.4. This new version of the script now also ensures that country names in the appropriate metadata field are detected by the CESSDA Data Catalogue, adding them to the "Country" search facet. See the README file for technical details and specifications.
DOI: 10.34934/dvn/psfvvf
title: SUPER DADA for Dataverse 4+ [Version 3.0]

description: SUPER DADA is a bash script that adapts XML-DDI metadata files produced by Dataverse in order to make them compliant with the technical requirements of the CESSDA Data Catalogue (CDC). This version of the script is geared towards versions 4+ of Dataverse. In its current state, SUPER DADA modifies XML-DDI files produced by a version 4+ Dataverse installation so that the files become fully compliant with the 'BASIC' level of validation (or 'validation gate') of the CESSDA Metadata Validator against the CESSDA Data Catalogue (CDC) DDI 2.5 Profile 1.0.4. This new version of the script now also ensures that country names in the appropriate metadata field are detected by the CESSDA Data Catalogue, adding them to the "Country" search facet. See the README file for technical details and specifications.
DOI: 10.35078/miygno/f0uasc
title: Almeida B.jpg

description: :unav
DOI: 10.35078/miygno/dc9gxy
title: Córrego Grande A.jpg

description: :unav
DOI: 10.35078/miygno/jcuktj
title: Digitalizar0105.jpg

description: :unav
DOI: 10.35078/miygno/eewo8t
title: Pereira A.jpg

description: :unav
DOI: 10.35078/miygno/kf4mmm
title: Bambuí A.jpg

description: :unav
DOI: 10.35078/miygno/zzjynn
title: Pimenta B.jpg

description: :unav
DOI: 10.5281/zenodo.6476447
title: JCSP: Joint Caching and Service Placement for Edge Computing Systems

description: The archives include the research data associated with the paper <strong><em>JCSP: Joint Caching and Service Placement for Edge Computing Systems</em></strong>. The paper is accepted in IEEE IWQoS 2022. The research data includes the validation dataset for the generalized LQN model that corresponds to section V of the paper. The validation model contains two layers. In the upper layer, the underlying processor adopts the processor sharing strategy. While in the lower layer, the capacity of the cache-task is set as 1 with a total number of 3 items. All the items obey discrete uniform distribution and take the random replacement strategy.
DOI: 10.35078/miygno/3lyr42
title: Córrego Padre Nosso I.B.jpg

description: :unav
DOI: 10.35078/miygno/0r9kia
title: Brejo I.A.jpg

description: :unav
DOI: 10.35078/miygno/dewbzl
title: São João A.jpg

description: :unav
DOI: 10.35078/miygno/tsssm2
title: Córrego José Pinto A.jpg

description: :unav
DOI: 10.35078/miygno/sxj9et
title: Bufão A.jpg

description: :unav
DOI: 10.35078/miygno/jygk78
title: Monos A.jpg

description: :unav
DOI: 10.35078/miygno/u9jyir
title: Turvo B.jpg

description: :unav
DOI: 10.35078/miygno/d1hj7f
title: Cabral A.jpg

description: :unav
DOI: 10.35078/miygno/m8jnvz
title: Campinho A.jpg

description: :unav
DOI: 10.35078/miygno/v8m56q
title: São Domingos A.jpg

description: :unav
DOI: 10.35078/miygno/bum3bo
title: Digitalizar0079.jpg

description: :unav
DOI: 10.35078/miygno/u7lfyz
title: Digitalizar0092.jpg

description: :unav
DOI: 10.35078/miygno/zrypf1
title: Bom Jardim A.jpg

description: :unav
DOI: 10.35078/miygno/zkwqb5
title: Digitalizar0110.jpg

description: :unav
DOI: 10.35078/miygno/zjsxua
title: Botelho II B.jpg

description: :unav
DOI: 10.35078/miygno/hi8idh
title: Digitalizar0084.jpg

description: :unav
DOI: 10.35078/miygno/0kgon9
title: Cotovelo A.jpg

description: :unav
DOI: 10.35078/miygno/laizhw
title: Botelho I B.jpg

description: :unav
DOI: 10.35078/miygno/eacqqq
title: Chácara A.jpg

description: :unav
DOI: 10.35078/miygno/uvjen4
title: Digitalizar0088.jpg

description: :unav
DOI: 10.35078/miygno/6w3n5c
title: Costas B.jpg

description: :unav
DOI: 10.35078/miygno/kyumwt
title: Digitalizar0081.jpg

description: :unav
DOI: 10.35078/miygno/netkvs
title: Dias I A.jpg

description: :unav
DOI: 10.5281/zenodo.6483294
title: Oneat division model for Hela cells

description: Trained models for hela cells for the bright field channel for locating mitosis events. Provided is an example dataset for bright field image and its corresponding model that can be used using the notebook here: https://github.com/Kapoorlabs-CAPED/CAPED-AI-oneat Made by oneat software, pip install oneat for training of such datasets. Original data published by Romain Guiet at https://zenodo.org/record/6139958#.YmAh1NpBxhG
description: Computational support provided by Jean Zay dynamic access grant: AD011013396
DOI: 10.35078/miygno/l11wep
title: Córrego Fundo B.jpg

description: :unav
DOI: 10.35078/miygno/6zm95b
title: Digitalizar0093.jpg

description: :unav
DOI: 10.35078/miygno/7cqmuk
title: Córrego Padre Nosso II.D.jpg

description: :unav
DOI: 10.35078/miygno/mfekto
title: Campos B.jpg

description: :unav
DOI: 10.35078/miygno/1635gw
title: Coqueiro A.jpg

description: :unav
DOI: 10.35078/miygno/6hmzfi
title: Monos B.jpg

description: :unav
DOI: 10.35078/miygno/ncumyc
title: Córrego Padre Nosso II.B.jpg

description: :unav
DOI: 10.35078/miygno/gyds8q
title: Dias I B.jpg

description: :unav
DOI: 10.35078/miygno/z4hmzn
title: Córrego dos Dias B.jpg

description: :unav
DOI: 10.35078/miygno/omlame
title: Córrego Padre Nosso II.E.jpg

description: :unav