cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e195201
title: Japanese Municipal Survey Regarding Economic Structures and Social Issues, 2019 [Chihōjichitai nitaisuru keizai kōzō ya shakaimondai ni kansuru anketo chōsa]]

description: The Japanese Municipal Survey Regarding Economic Structures and Social Issues, 2019 [Chihojichitai nitaisuru keizai kozo ya shakaimondai ni kansuru anketo chosa] is a cross-panel study of municipal officials' attitudes towards major socioeconomic issues facing their localities in 2019-2020. Questioned included basic demographic information, attitudes towards various social, economic, and administration issues, attitudes towards labor migration and non-citizens' participation in local life, and the presence of, or future plans to, enact policies to promote migration, integration of non-citizens, or the employment of non-citizens. The survey was conducted by mail between November and December 2019. Respondents were offered the opportunity to respond by mail through the included Self-Addressed Stamped Envelope (SASE), online form, or fax. Respondents were sent a reminder postcard three weeks after the initial mailing. Responses were accepted until August 2020. The surveys were directed towards the offices responsible for industrial promotion and labor policy (sangyō shinkō rōdō seisaku tantō). A subtotal of 825 valid responses was received, of which 7 were duplicated responses from the same municipalities. In cases where one response was more detailed (free-response questions were answered, or census data was given more precisely rather than rough estimates, etc.), that response was used. In the rest of the cases, I kept the latest recorded response and discarded earlier ones. This left a total of 818 valid responses were received for a response rate of 46.98%. <br><br>
description: As all members of the universe were sampled, no weighting was used.<br>
description: Response Rates: 47.98%<br>
description: Presence of Common Scales: Most questions were based on Likert-type scales.Some questions allowed for multiple responses.A few questions prompted a free response, or "Yes" / "No" / "Don't Know"<br>
description: All members of the universe were sampled.<br>
description: The offices responsible for industrial promotion and labor policy at each of the 1741 municipal-level administrations in Japan in 2019.<br>. Smallest Geographic Unit: Municipality
description: mail questionnaire; other; web-based survey;
DOI: 10.3886/e195201v2
title: Japanese Municipal Survey Regarding Economic Structures and Social Issues, 2019 [Chihōjichitai nitaisuru keizai kōzō ya shakaimondai ni kansuru anketo chōsa]]

description: The Japanese Municipal Survey Regarding Economic Structures and Social Issues, 2019 [Chihojichitai nitaisuru keizai kozo ya shakaimondai ni kansuru anketo chosa] is a cross-panel study of municipal officials' attitudes towards major socioeconomic issues facing their localities in 2019-2020. Questioned included basic demographic information, attitudes towards various social, economic, and administration issues, attitudes towards labor migration and non-citizens' participation in local life, and the presence of, or future plans to, enact policies to promote migration, integration of non-citizens, or the employment of non-citizens. The survey was conducted by mail between November and December 2019. Respondents were offered the opportunity to respond by mail through the included Self-Addressed Stamped Envelope (SASE), online form, or fax. Respondents were sent a reminder postcard three weeks after the initial mailing. Responses were accepted until August 2020. The surveys were directed towards the offices responsible for industrial promotion and labor policy (sangyō shinkō rōdō seisaku tantō). A subtotal of 825 valid responses was received, of which 7 were duplicated responses from the same municipalities. In cases where one response was more detailed (free-response questions were answered, or census data was given more precisely rather than rough estimates, etc.), that response was used. In the rest of the cases, I kept the latest recorded response and discarded earlier ones. This left a total of 818 valid responses were received for a response rate of 46.98%. <br><br>
description: As all members of the universe were sampled, no weighting was used.<br>
description: Response Rates: 47.98%<br>
description: Presence of Common Scales: Most questions were based on Likert-type scales.Some questions allowed for multiple responses.A few questions prompted a free response, or "Yes" / "No" / "Don't Know"<br>
description: All members of the universe were sampled.<br>
description: The offices responsible for industrial promotion and labor policy at each of the 1741 municipal-level administrations in Japan in 2019.<br>. Smallest Geographic Unit: Municipality
description: mail questionnaire; other; web-based survey;
DOI: 10.5281/zenodo.10154757
title: High-order correction of persistent batch effects in correlation networks

description: This upload contains data to reproduce the results and figures in our work High-order correction of persistent batch effects in correlation networks. The code is publicly available on GitHub.
DOI: 10.5281/zenodo.10154758
title: High-order correction of persistent batch effects in correlation networks

description: This upload contains data to reproduce the results and figures in our work High-order correction of persistent batch effects in correlation networks. The code is publicly available on GitHub.
DOI: 10.5281/zenodo.10155249
title: Assotiation between patent ductus arteriosus FLOW and home oxygen therapy in infants <26 weeks of gestation
DOI: 10.5281/zenodo.10155250
title: Assotiation between patent ductus arteriosus FLOW and home oxygen therapy in infants <26 weeks of gestation
DOI: 10.5281/zenodo.10155305
title: CSA-LC3 Experimental Data
DOI: 10.5281/zenodo.10155304
title: CSA-LC3 Experimental Data
DOI: 10.57967/hf/1363
title: azerbaijani_review_sentiment_classification
DOI: 10.5281/zenodo.3715998
title: PAN13 Author Identification: Verification

description: We provide you with a training data set that consists of documents written in both English and Spanish. With regard to age, we will consider posts of three classes: 10s (13-17), 20s (23-27), and 30s (33-47). Moreover, documents from authors who pretend to be minors will be included (e.g., documents composed of chat lines of sexual predators will be also considered). Learn more »
DOI: 10.5281/zenodo.3715999
title: PAN13 Author Identification: Verification

description: We provide you with a training data set that consists of documents written in both English and Spanish. With regard to age, we will consider posts of three classes: 10s (13-17), 20s (23-27), and 30s (33-47). Moreover, documents from authors who pretend to be minors will be included (e.g., documents composed of chat lines of sexual predators will be also considered). Learn more »
DOI: 10.6084/m9.figshare.23898549.v3
title: Raw data for "New Insight into the Source and Sink of <sup>227</sup>Ac in the Ocean".

description: The activities of <sup>227</sup>Ac measured by onboard filtration method using discrete 60 L samples in the East Sea (sheet 1), the activities of <sup>227</sup>Ac measured from the Mn-fiber mooring method in the East Sea (sheet 2), and the activities of <sup>227</sup>Ac and <sup>228</sup>Ra in the East China Sea and Yellow Sea shelf water (sheet 3).
DOI: 10.17894/ucph.39e2fcf7-88bc-4950-9c79-2a13dee065bf
title: Supplementary information for the publication: Raimundo, Malkan & Vestergaard 2023

description: This archive contains supporting tables and figures for Raimundo, Malkan & Vestergaard 2023, Nature Astronomy, 7, 463 (https://www.nature.com/articles/s41550-022-01880-z) Please reference the publication if you use any of the materials in this archive. The archive contains: - Table 1 in the Supplementary Information section of Raimundo, Malkan & Vestergaard 2023 - Folder 'BPT' containing figures showing the BPT diagrams for the 1310 galaxies in the sample, similar to Fig. 12 as published in Raimundo, Malkan & Vestergaard 2023 - Folder: 'deltaPA' containing the kinematic position angle figures for stars and gas
DOI: 10.6084/m9.figshare.24587064
title: Monte Carlo Simulation data, code and results

description: This item contains the data, code and results of the Monte Carlo Simulation, used to determine the sample size of linear features used in cartographic quality control.
DOI: 10.5281/zenodo.10155269
title: Database of Consumption in CAMEROON (2020)

description: Many techniques have been used to predict the exact electrical load and reduce losses. Among these techniques, artificial intelligence models (fuzzy logic and ANN) offer greater efficiency compared to conventional techniques (e.g. regression and time series). In this article, a fuzzy logic model is presented for forecasting annual electrical energy consumption in Cameroon. This model is developed according to the evolution of the population, the gross domestic product (GDP) and historical data of the annual consumption of electricity in Cameroon. The development of an effective fuzzy rule base has allowed us to forecast future annual consumption over a ten-year period with a MAPE of 0.011%. A comparison of the results obtained with those of similar models allowed us to conclude that fuzzy logic offers very high accuracy in terms of forecast error.
DOI: 10.5281/zenodo.6916101
title: Database of Consumption in CAMEROON (2020)

description: Many techniques have been used to predict the exact electrical load and reduce losses. Among these techniques, artificial intelligence models (fuzzy logic and ANN) offer greater efficiency compared to conventional techniques (e.g. regression and time series). In this article, a fuzzy logic model is presented for forecasting annual electrical energy consumption in Cameroon. This model is developed according to the evolution of the population, the gross domestic product (GDP) and historical data of the annual consumption of electricity in Cameroon. The development of an effective fuzzy rule base has allowed us to forecast future annual consumption over a ten-year period with a MAPE of 0.011%. A comparison of the results obtained with those of similar models allowed us to conclude that fuzzy logic offers very high accuracy in terms of forecast error.
DOI: 10.5281/zenodo.6916102
title: Database of the thermal power plant of OYOMABANG-CAMEROON (2016-2017-2018)

description: La difficulté majeure aujourd'hui est de connaître exactement la quantité de gaz à effet de serre (GES) générée par les centrales thermiques en utilisant une méthode et un modèle adaptés. Ces GES comprennent le dioxyde de carbone (CO <sub>2</sub> ), qui contribue efficacement à la destruction de l'environnement. La méthode utilisée ici est la méthode d'estimation empirique des GES conforme aux normes iso du cadre industriel camerounais pour la détermination des émissions exactes en Kg de GES (A, B et C) de la centrale thermique Oyom-Abang I ( TPO) au cours des années 2016 ; 2017 et 2018. Cette méthode s'est avérée probable, une moyenne quotidienne de 33,79 Kg, 98,13 Kg et 26,38 Kg pour le dioxyde de carbone (CO<sub>2</sub>), le méthane (CH <sub>4</sub> ) et l'oxyde nitreux (N <sub>2</sub>O) respectivement. Les cinq premiers jours de décembre ont été choisis pour une étude d'estimation des erreurs dans la modélisation inverse des GES. En ce qui concerne la quantité d'électricité produite, on peut noter qu'en 2016, 2017 et 2018 nous avons 11043,6 KWh ; 8193,891 KWh et 15268,369 KWh respectivement. De ces résultats, on peut voir qu'en 2016 et 2017 on a une baisse de production par rapport à 2018. Compte tenu de ces quantités, les erreurs dans la modélisation inverse de ces GES sont de : [15,70% ; 16,18%] pour le dioxyde de carbone (CO <sub>2</sub> ) ; [16,18% ; 16,99% ] pour le méthane (CH <sub>4</sub> ) et 16,18% pour le protoxyde d'azote (N <sub>2</sub> O).
DOI: 10.6084/m9.figshare.24587071.v1
title: tuco-tuco_freeliving_data

description: Accelerometer and luximeter data from free-living tuco-tuco (Ctenomys coludo). This data refers to the paper entitled: Changes in daily activity patterns throughout the year in free-living South American subterranean rodents (Ctenomys coludo)
DOI: 10.6084/m9.figshare.24587071.v2
title: Data for Changes in daily activity patterns throughout the year in free-living South Americansubterranean rodents (Ctenomys coludo)

description: Accelerometer and luximeter data from free-living tuco-tuco (Ctenomys coludo). This data refers to the paper entitled: Changes in daily activity patterns throughout the year in free-living South American subterranean rodents (Ctenomys coludo)
DOI: 10.25345/c55m62j2h
title: MassIVE MSV000093428 - Urinary_Biomarkers_of_Tomato_Consumption_CooperstoneLab2023
title: DDA data from an untargeted metabolomics experiment of human urine to discover urinary biomarkers of tomato consumption.
DOI: 10.34740/kaggle/dsv/6998119
title: Balochi Language to English Translation Dataset
DOI: 10.34740/kaggle/dsv/6998328
title: IPCA - Extended National Consumer Price brasil
DOI: 10.5281/zenodo.10154542
title: A dataset of seabird collision and displacement vulnerability factors relatively to marine wind farms in Portugal

description: The implementation of marine wind farms has grown considerably along northern European's northern Atlantic coasts (e.g. Baltic and North Sea) and a boom in these infrastructures is expected to take place along Europe's entire Atlantic and Mediterranean coasts. Accordingly, the Portuguese government has recently proposed priority sites for the construction of wind farms along the mainland coast. We used sensitivity mapping (Garthe & Hüppop, 2004) to assess which areas along the Portuguese coast are most sensitive for seabirds and to what extent the proposed sites for wind farm construction overlap with these areas.
This dataset contains the base data to estimate a seabird Species Sensitivity Index (SSI) (following Bradbury et al., 2014, Certain et al., 2015), including scores for 11 species-specific ecological and behavioural factors related with seabird species' (i) vulnerability to collision with wind farms (4 factors), (ii) vulnerability to displacement due to disturbance by wind farms and associated maintenance (3 factors), and (iii) conservation status (4 factors). 
We reviewed the literature to mine and compile data on these factors for 34 seabird species that regularly occur along the Portuguese mainland coast. We updated factor scores, particularly for those factors that have been studied in greater detail in recent years using tracking technologies (Clairbaux & Jessopp, 2021). However, in many cases empirical data were unavailable and we used the scores presented in previous sensitivity mapping studies (Garthe & Hüppop, 2004; Bradbury et al., 2014; Certain et al., 2015; Wade et al., 2016; Serratosa & Allinson, 2022).
description: The final report using these dataset can be found at:
O relatório final que utiliza estes dados pode ser consultado em:
https://doi.org/10.5281/zenodo.10045918
 
description: Sensitivity mapping results can be visualised at: 
Os resultados do mapeamento de sensibilidade podem ser visualizados em:
https://african-eurasian-migrants.shinyapps.io/Seabird_sensitivity_wind_farms/
description: This study was funded by:
Este estudo foi financiado por:
Fundação Oceano Azul (https://www.oceanoazulfoundation.org/)
description: To this version was added information on the factor "C11 Adult survival", which was missing from the previous version.
DOI: 10.5281/zenodo.10155529
title: A dataset of seabird collision and displacement vulnerability factors relatively to marine wind farms in Portugal

description: The implementation of marine wind farms has grown considerably along northern European's northern Atlantic coasts (e.g. Baltic and North Sea) and a boom in these infrastructures is expected to take place along Europe's entire Atlantic and Mediterranean coasts. Accordingly, the Portuguese government has recently proposed priority sites for the construction of wind farms along the mainland coast. We used sensitivity mapping (Garthe & Hüppop, 2004) to assess which areas along the Portuguese coast are most sensitive for seabirds and to what extent the proposed sites for wind farm construction overlap with these areas.
This dataset contains the base data to estimate a seabird Species Sensitivity Index (SSI) (following Bradbury et al., 2014, Certain et al., 2015), including scores for 11 species-specific ecological and behavioural factors related with seabird species' (i) vulnerability to collision with wind farms (4 factors), (ii) vulnerability to displacement due to disturbance by wind farms and associated maintenance (3 factors), and (iii) conservation status (4 factors). 
We reviewed the literature to mine and compile data on these factors for 34 seabird species that regularly occur along the Portuguese mainland coast. We updated factor scores, particularly for those factors that have been studied in greater detail in recent years using tracking technologies (Clairbaux & Jessopp, 2021). However, in many cases empirical data were unavailable and we used the scores presented in previous sensitivity mapping studies (Garthe & Hüppop, 2004; Bradbury et al., 2014; Certain et al., 2015; Wade et al., 2016; Serratosa & Allinson, 2022).
description: The final report using these dataset can be found at:
O relatório final que utiliza estes dados pode ser consultado em:
https://doi.org/10.5281/zenodo.10045918
 
description: Sensitivity mapping results can be visualised at: 
Os resultados do mapeamento de sensibilidade podem ser visualizados em:
https://african-eurasian-migrants.shinyapps.io/Seabird_sensitivity_wind_farms/
description: This study was funded by:
Este estudo foi financiado por:
Fundação Oceano Azul (https://www.oceanoazulfoundation.org/)
description: To this version was added information on the factor "C11 Adult survival", which was missing from the previous version.
DOI: 10.5281/zenodo.10026109
title: A dataset of seabird collision and displacement vulnerability factors relatively to marine wind farms in Portugal

description: The implementation of marine wind farms has grown considerably along northern European's northern Atlantic coasts (e.g. Baltic and North Sea) and a boom in these infrastructures is expected to take place along Europe's entire Atlantic and Mediterranean coasts. Accordingly, the Portuguese government has recently proposed priority sites for the construction of wind farms along the mainland coast. We used sensitivity mapping (Garthe & Hüppop, 2004) to assess which areas along the Portuguese coast are most sensitive for seabirds and to what extent the proposed sites for wind farm construction overlap with these areas.
This dataset contains the base data to estimate a seabird Species Sensitivity Index (SSI) (following Bradbury et al., 2014, Certain et al., 2015), including scores for 11 species-specific ecological and behavioural factors related with seabird species' (i) vulnerability to collision with wind farms (4 factors), (ii) vulnerability to displacement due to disturbance by wind farms and associated maintenance (3 factors), and (iii) conservation status (4 factors). 
We reviewed the literature to mine and compile data on these factors for 34 seabird species that regularly occur along the Portuguese mainland coast. We updated factor scores, particularly for those factors that have been studied in greater detail in recent years using tracking technologies (Clairbaux & Jessopp, 2021). However, in many cases empirical data were unavailable and we used the scores presented in previous sensitivity mapping studies (Garthe & Hüppop, 2004; Bradbury et al., 2014; Certain et al., 2015; Wade et al., 2016; Serratosa & Allinson, 2022).
description: The final report using these dataset can be found at:
O relatório final que utiliza estes dados pode ser consultado em:
https://doi.org/10.5281/zenodo.10045918
 
description: Sensitivity mapping results can be visualised at: 
Os resultados do mapeamento de sensibilidade podem ser visualizados em:
https://african-eurasian-migrants.shinyapps.io/Seabird_sensitivity_wind_farms/
description: This study was funded by:
Este estudo foi financiado por:
Fundação Oceano Azul (https://www.oceanoazulfoundation.org/)
description: To this version was added information on the factor "C11 Adult survival", which was missing from the previous version.
DOI: 10.5281/zenodo.10026110
title: A dataset of seabird collision and displacement vulnerability factors relatively to marine wind farms in Portugal

description: The implementation of marine wind farms has grown considerably along northern European's northern Atlantic coasts (e.g. Baltic and North Sea) and a boom in these infrastructures is expected to take place along Europe's entire Atlantic and Mediterranean coasts. Accordingly, the Portuguese government has recently proposed priority sites for the construction of wind farms along the mainland coast. We used sensitivity mapping (Garthe & Hüppop, 2004) to assess which areas along the Portuguese coast are most sensitive for seabirds and to what extent the proposed sites for wind farm construction overlap with these areas.
This dataset contains the base data to estimate a seabird Species Sensitivity Index (SSI) (following Bradbury et al., 2014, Certain et al., 2015), including scores for 11 species-specific ecological and behavioural factors related with seabird species' (i) vulnerability to collision with wind farms (4 factors), (ii) vulnerability to displacement due to disturbance by wind farms and associated maintenance (3 factors), and (iii) conservation status (4 factors). 
We reviewed the literature to mine and compile data on these factors for 34 seabird species that regularly occur along the Portuguese mainland coast. We updated factor scores, particularly for those factors that have been studied in greater detail in recent years using tracking technologies (Clairbaux & Jessopp, 2021). However, in many cases empirical data were unavailable and we used the scores presented in previous sensitivity mapping studies (Garthe & Hüppop, 2004; Bradbury et al., 2014; Certain et al., 2015; Wade et al., 2016; Serratosa & Allinson, 2022).
description: The final report using these dataset can be found at:
O relatório final que utiliza estes dados pode ser consultado em:
https://doi.org/10.5281/zenodo.10045918
 
description: Sensitivity mapping results can be visualised at: 
Os resultados do mapeamento de sensibilidade podem ser visualizados em:
https://african-eurasian-migrants.shinyapps.io/Seabird_sensitivity_wind_farms/
description: This study was funded by:
Este estudo foi financiado por:
Fundação Oceano Azul (https://www.oceanoazulfoundation.org/)
DOI: 10.5281/zenodo.10155527
title: ANÁLISE DOS DADOS BIBLIOMÉTRICOS ENSURING QUALITY DO CMMI 2.0

description: UMA ANÁLISE DOS DADOS BIBLIOMÉTRICOS A PARTIR DE UMA REVISÃO SISTEMÁTICA DA LITERATURA SOBRE A IMPLEMENTAÇÃO DA ÁREA DE CAPACIDADE ENSURING QUALITY DO CMMI 2.0v
DOI: 10.5281/zenodo.10155528
title: ANÁLISE DOS DADOS BIBLIOMÉTRICOS ENSURING QUALITY DO CMMI 2.0

description: UMA ANÁLISE DOS DADOS BIBLIOMÉTRICOS A PARTIR DE UMA REVISÃO SISTEMÁTICA DA LITERATURA SOBRE A IMPLEMENTAÇÃO DA ÁREA DE CAPACIDADE ENSURING QUALITY DO CMMI 2.0v
DOI: 10.25345/c51z42413
title: MassIVE MSV000093429 - Procesamiento y analisis de datos metabolomicos 1
title: Datos para procesamiento y analisis metabolomicos por MS/MS
DOI: 10.6084/m9.figshare.24587220
title: Match Colangio-1 HCC-3 Propensity Score 2023-07-05.xlsx

description: Complete datasheet from investigation on liver transplantation for intrahepatic cholangiocarcinoma and mixed hepatocellular-cholangiocarcinoma.
DOI: 10.57967/hf/1364
title: XodifierXLLM