cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17876/rave/dr.6/fields/20100902_0320m11
title: RAVE Field 20100902_0320m11

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100902_1757m59
title: RAVE Field 20100902_1757m59

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100902_1856m52
title: RAVE Field 20100902_1856m52

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100902_2229m55
title: RAVE Field 20100902_2229m55

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100905_0330m50
title: RAVE Field 20100905_0330m50

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100905_2156m36
title: RAVE Field 20100905_2156m36

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100905_2324m62
title: RAVE Field 20100905_2324m62

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100906_0121m32
title: RAVE Field 20100906_0121m32

description: A field from the RAVE survey
DOI: 10.5281/zenodo.3933057
title: Multi-shuttle crane scheduling in automated storage and retrieval systems

description: The uploaded ".zip"-file contains 6 folders corresponding to the 6 experiments in our working paper "Multi-shuttle crane scheduling in automated storage and retrieval systems". <br> Each of these folders contains a "results.csv" file with the data from the experiments. All but the last two columns contain information about the solved instance, the second to last column contains the objective value and the last column the runtime. Then each folder contains ".txt"-files or several folders with ".txt"-files. Each files contains one instance. Each instance begins with the name of the file in which it is located. Then follows an empty line, a line with the word "VEHICLE" and a new line<br> "NUMBER OF CAPACITY EMPTYING REQUIREMENTS HIGHEST SPEED LONGEST DISTANCE MAXIMUM DISTANCE". It follows a line containing the following integers: the number of vehicles, the capacity of all vehicles, the number of empty slots, the total number of requests, the speed in x dimension, the speed in y dimension, and an upper limit for the maximum distance between the I/O point and each slot.<br> Next follows a line with the text "CUSTOMER" and then a line with the text "CUSTOMER NUMBER". XCOORD. YCOORD."<br> This is followed by lines each containing a relevant slot. Each entry begins with a number that counts the entries, followed by the x-coordinate and then the y-coordinate. The first entry has the number 0 and is the I/O point. Then the customer locations follow, and then we start the restart the numbering at 1 for the following requests.
DOI: 10.17876/rave/dr.6/fields/20100906_0345m02
title: RAVE Field 20100906_0345m02

description: A field from the RAVE survey
DOI: 10.5281/zenodo.3933056
title: Multi-shuttle crane scheduling in automated storage and retrieval systems

description: The uploaded ".zip"-file contains 6 folders corresponding to the 6 experiments in our working paper "Multi-shuttle crane scheduling in automated storage and retrieval systems". <br> Each of these folders contains a "results.csv" file with the data from the experiments. All but the last two columns contain information about the solved instance, the second to last column contains the objective value and the last column the runtime. Then each folder contains ".txt"-files or several folders with ".txt"-files. Each files contains one instance. Each instance begins with the name of the file in which it is located. Then follows an empty line, a line with the word "VEHICLE" and a new line<br> "NUMBER OF CAPACITY EMPTYING REQUIREMENTS HIGHEST SPEED LONGEST DISTANCE MAXIMUM DISTANCE". It follows a line containing the following integers: the number of vehicles, the capacity of all vehicles, the number of empty slots, the total number of requests, the speed in x dimension, the speed in y dimension, and an upper limit for the maximum distance between the I/O point and each slot.<br> Next follows a line with the text "CUSTOMER" and then a line with the text "CUSTOMER NUMBER". XCOORD. YCOORD."<br> This is followed by lines each containing a relevant slot. Each entry begins with a number that counts the entries, followed by the x-coordinate and then the y-coordinate. The first entry has the number 0 and is the I/O point. Then the customer locations follow, and then we start the restart the numbering at 1 for the following requests.
DOI: 10.17876/rave/dr.6/fields/20100906_1759m48
title: RAVE Field 20100906_1759m48

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100906_1858m36
title: RAVE Field 20100906_1858m36

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100906_2048m02
title: RAVE Field 20100906_2048m02

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100906_2311m73
title: RAVE Field 20100906_2311m73

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100907_0041m09
title: RAVE Field 20100907_0041m09

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100907_0321m37
title: RAVE Field 20100907_0321m37

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100907_1744m52
title: RAVE Field 20100907_1744m52

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100907_1837m45
title: RAVE Field 20100907_1837m45

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100907_2028m00
title: RAVE Field 20100907_2028m00

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100907_2316m67
title: RAVE Field 20100907_2316m67

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100908_0201m68
title: RAVE Field 20100908_0201m68

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100908_1757m59
title: RAVE Field 20100908_1757m59

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100908_1845m30
title: RAVE Field 20100908_1845m30

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100908_1941m13
title: RAVE Field 20100908_1941m13

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100908_2331m56
title: RAVE Field 20100908_2331m56

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100910_0105m70
title: RAVE Field 20100910_0105m70

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100910_0322m32
title: RAVE Field 20100910_0322m32

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100910_1759m48
title: RAVE Field 20100910_1759m48

description: A field from the RAVE survey
DOI: 10.17632/rsjcmdwby7.1
title: Sperm length and testes size are sensitive to temperature at specific stages of larval development.
DOI: 10.17876/rave/dr.6/fields/20100910_1904m20
title: RAVE Field 20100910_1904m20

description: A field from the RAVE survey
DOI: 10.17632/z5jycsbhcp.1
title: Second_Price Sealed-bid Auction in DTN

description: In this dataset, we use the theory of auction between relay nodes of Delay/disruption-tolerant Networks (DTNs) to motivate them to collaborate in forwarding messages. Based on the second-price sealed-bid auction mechanism, the node that does not cooperate in forwarding messages fails to acquire utility. In this way, if the node itself intends to send a message to another node, it will not be able to do so due to a lack of budget. Thus, the selfish behavior of the node causes the node to be harmed.
DOI: 10.17876/rave/dr.6/fields/20100910_2105m16
title: RAVE Field 20100910_2105m16

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100910_2311m73
title: RAVE Field 20100910_2311m73

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100911_0219m41
title: RAVE Field 20100911_0219m41

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100911_1905m47
title: RAVE Field 20100911_1905m47

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100911_2105m46
title: RAVE Field 20100911_2105m46

description: A field from the RAVE survey
DOI: 10.17632/f3j5dptdrv.1
title: Brazilian Research Output in Education from 2007 to 2016

description: This dataset has been used to analyze publication practices of Brazilian researchers in Education in three different periods: [2007, 2009], [2010, 2012], [2013, 2016]. The dataset is composed of 4249 records, each of them containing information about a scientific journal in which faculty and students of Brazilian graduate programs in Education have published their work. In addition, each record also stores information about the number of articles published by the Brazilian Education community in each journal and its citation impact in a given period. The indicator chosen to represent the journal's citation impact has been Elsevier's SNIP. The records also store information from a Brazilian journal ranking system called Qualis, a classification made by the Coordination for the Improvement of Higher Education Personnel (CAPES), a governmental institution whose purpose is to coordinate efforts for the improvement of the quality of faculty and staff in higher education. The dataset comprises information about the publications by Brazilian researchers in Education including articles published in journals that were and were not indexed by SCOPUS. The research questions that were answered with the analysis of the data were: 1) What was the distribution of publications in indexed and non-indexed journals in the three periods [2007, 2009], [2010, 2012], [2013, 2016]? 2) What was the distribution of publications according to country of publication of the journals? 3) What was the citation impact of the publications in indexed journals in the three different periods? 4) Were there discrepancies between the classification of journals in the CAPES Qualis system and the citation impact provided by SCOPUS' SNIP? It is important to highlight that the three periods considered in the dataset do not have the same number of years. This is because CAPES previously collected information for its evaluation of graduate programs every three years ([2007, 2009], [2010, 2012]), but it changed to four years in the last period ([2013, 2016]). The final structure of the records of the dataset is detailed below. - Publication period: year interval in which the article publications were made: 2007-2009; 2010-2012; 2013-2016 - ISSN_PRINT: unique identifier of the printed version of the journal in which the article publications were made - ISSN_ONLINE: unique identifier of the online version of the journal in which the article publications were made - Title: journal title - Number of articles: total number of articles published in the journal in the given period - SNIP: Elsevier SNIP citation impact computed for the journal in the given period - Qualis: classification rank of the journal at the given period, with values ranging from (highest to lowest): A1, A2, B1, B2, B3, B4, B5 - Country: country of publication of the journal
DOI: 10.17876/rave/dr.6/fields/20100911_2350m39
title: RAVE Field 20100911_2350m39

description: A field from the RAVE survey
DOI: 10.5281/zenodo.3931008
title: 6_Selekce_z_RIVu_ceske_clanky_celkem

description: Excelovy soubor je extrakce vsech ceskych casopisu ze souboru 2_Clanky_selekce_z_RIVu. Soubor ma 2 listy. Prvni se jmenuje Ceske clanky celkem, kde je 29116 záznamu. V druhem liste je celkovy pocet casopisu, celkem 1193.
DOI: 10.5281/zenodo.3930998
title: 5_Clanky_s_DOI_zahranicni

description: Excelovy dokument navazuje na 3_Clanky_s_DOI_celkem. V tomto souboru jsou v prvnim listu zaznamy casopisu, ktere maji DOI a jsou publikovany v zahranicnich casopisech, celkem 767 zaznamu. V druhem listu je tabulka s poctem zahranicnich casopisu, celkem 396.
DOI: 10.17876/rave/dr.6/fields/20100917_0037m34
title: RAVE Field 20100917_0037m34

description: A field from the RAVE survey
DOI: 10.17632/6z4fvrspt3.2
title: Striosomes Mediate Value-based Learning Vulnerable in Aging and Huntington’s Disease Model. Friedman, Hueske et al. 1

description: Data set 1/3
DOI: 10.17632/8f93rjhgjk.1
title: Turkish Dataset for Identification of Author Gender

description: The IAG-TNKU Dataset is a large collection of Turkish news articles that can be used in different Turkish Text Classification NLP tasks such as Identification of Author Gender In Turkish News. The text data belong to 32 female and 38 male authors, has been extracted from the archive of a newspaper (www.hurriyet.com.tr) for the interval 08.11.1997 and 24.04.2019. The dataset divided into males and females in a balanced way consists of a total of 43.292 articles. How to use the IAG-TNKU Dataset: ___________ 1. Unzip compressed resources. 2. There are two folder (Females and Males) 3. Each folder contains a set of article files in .txt formatted corresponding to its category.
DOI: 10.17876/rave/dr.6/fields/20100917_0202m45
title: RAVE Field 20100917_0202m45

description: A field from the RAVE survey
DOI: 10.17632/vw427wzzkk.3
title: Data for: COVID-19 Dataset: Worldwide Spread Log Including Countries First Case And First Death

description: Contain information related to COVID-19 pandemic. Specially, figure out about the First Case and First Death information for every single country. Can describe the spreading chain of COVID-19 among different country and region.
DOI: 10.17876/rave/dr.6/fields/20100917_1812m43
title: RAVE Field 20100917_1812m43

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100917_2122m07
title: RAVE Field 20100917_2122m07

description: A field from the RAVE survey
DOI: 10.17632/3b6nnp55w6.1
title: Extreme Temperature Events by Station / Reanalysis Data Set

description: These data sets represent the extreme temperature events identified in Sheridan, Lee, and Smith "A comparison between station observations and reanalysis data in the identification of extreme temperature events", Geophysical Research Letters, 2020. Each file represents a different time series. The name of the file is the data set plus event type. Data set= Surface Observations (STATION), Reanalysis (NARR, ERA5, ERA5LAND). Event type = ECE (Extreme Cold Event), EHE (Extreme Heat Event), RECE (Relative Extreme Cold Event), REHE Relative (Extreme Cold Event), ECF (Extreme Cold Factor&gt;0), EHF (Extreme Heat Factor&gt;0), RECF (Relative Extreme Cold Factor&gt;0), REHF Relative (Extreme Cold Factor&gt;0). In each file is a time series for each station in North America analyzed, with the three-letter airport code as the column header. Details may be found in the article.
DOI: 10.17876/rave/dr.6/fields/20100920_0200m57
title: RAVE Field 20100920_0200m57

description: A field from the RAVE survey
DOI: 10.17632/jdyggsxsrx.1
title: Focal groups: the construction of place meaning among Brazilian wilderness visitors

description: Serra dos Órgãos National Park offers a unique opportunity in Brazil to study human-place relationship with wilderness areas. In this study, we explore the complexity of the meanings attached to wilderness areas and visitors’ opinions about a change in access regulations. We conducted two focus groups with wilderness visitors and used content analysis and a qualitative data analysis software, IRAMUTEQ, to analyze data. Results indicate that place meanings were created from a combination of social, environmental and experiential aspects. The threats to access and to the wilderness character led to protective attitudes and opinions, forming one of the pillars of place meaning. Concepts related to the participants' identities also shaped meanings, motivations and assessments of quality and satisfaction with the visit. Place meanings promoted a sense of the continuity of the past with the present, besides being relevant for developing and honoring social relationships. This study enables land managers to better understand the interests, needs, values and symbolism related to wilderness recreation, which can contribute to decision making about recreation policies. Data here include raw data (texts, corpus, images), coding process examples and IRAMUTEQ analysis, including statistics, word clouds, and similitude graphs. Data is in Portuguese.
DOI: 10.17876/rave/dr.6/fields/20100925_0200m57
title: RAVE Field 20100925_0200m57

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100925_0243m72
title: RAVE Field 20100925_0243m72

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100926_0014m37
title: RAVE Field 20100926_0014m37

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100926_0105m70
title: RAVE Field 20100926_0105m70

description: A field from the RAVE survey
DOI: 10.5281/zenodo.3855313
title: Data set from the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994.

description: The data set refers on the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994. This is the abstract: <strong>Background and aims: </strong>Adults with congenital heart disease (ACHD) are at risk of overweight and obesity, two major health problems, though underweight can be a negative prognostic factor too. Awareness of the body mass index (BMI) in ACHD is very limited. The present study describes the use and prevalence of BMI in Italian symptomatic hospitalized ACHD patients in relation to complexity by Bethesda system classification, diagnosis, sex and age. <strong>Methods and results: </strong>We classified 1388 ACHD patients, aged 18-69 years, on the basis of their BMI, and compared them to the Italian reference population. In our total ACHD population we found a significantly higher prevalence of underweight compared to the Italian reference population (6.34% vs 3.20%). ACHD women were more underweight than men. Underweight decreased with age. Overweight was significantly less frequent in the total ACHD population (26.73% compared to 31.70%) in the Italian reference population. Men were more likely to be overweight than women. In statistical terms obesity was similar in the Italian reference population (10.50%) and our ACHD population (9.58%). Both overweight and obesity increased with age. Results were comparable using a diagnostic anatomical-functional classification and the Bethesda system classification. <strong>Conclusions: </strong>In our cohort of ACHD the prevalence of underweight was double that of the Italian reference population. The prevalence of overweight was lower, while obesity was similar. Since BMI does not account for differences in body fat distribution, a future aim will be to quantify the visceral component of the adipose tissue in ACHD patients and examine their body composition in order to reflect their risk of acquired cardiovascular disease better, and either to maintain or achieve an adequate visceral component.
DOI: 10.5281/zenodo.3855312
title: Data set from the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994.

description: The data set refers on the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994. This is the abstract: <strong>Background and aims: </strong>Adults with congenital heart disease (ACHD) are at risk of overweight and obesity, two major health problems, though underweight can be a negative prognostic factor too. Awareness of the body mass index (BMI) in ACHD is very limited. The present study describes the use and prevalence of BMI in Italian symptomatic hospitalized ACHD patients in relation to complexity by Bethesda system classification, diagnosis, sex and age. <strong>Methods and results: </strong>We classified 1388 ACHD patients, aged 18-69 years, on the basis of their BMI, and compared them to the Italian reference population. In our total ACHD population we found a significantly higher prevalence of underweight compared to the Italian reference population (6.34% vs 3.20%). ACHD women were more underweight than men. Underweight decreased with age. Overweight was significantly less frequent in the total ACHD population (26.73% compared to 31.70%) in the Italian reference population. Men were more likely to be overweight than women. In statistical terms obesity was similar in the Italian reference population (10.50%) and our ACHD population (9.58%). Both overweight and obesity increased with age. Results were comparable using a diagnostic anatomical-functional classification and the Bethesda system classification. <strong>Conclusions: </strong>In our cohort of ACHD the prevalence of underweight was double that of the Italian reference population. The prevalence of overweight was lower, while obesity was similar. Since BMI does not account for differences in body fat distribution, a future aim will be to quantify the visceral component of the adipose tissue in ACHD patients and examine their body composition in order to reflect their risk of acquired cardiovascular disease better, and either to maintain or achieve an adequate visceral component.
DOI: 10.17876/rave/dr.6/fields/20100926_0408m29
title: RAVE Field 20100926_0408m29

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100926_1905m47
title: RAVE Field 20100926_1905m47

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100927_0137m74
title: RAVE Field 20100927_0137m74

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100927_1950m08
title: RAVE Field 20100927_1950m08

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100927_2056m66
title: RAVE Field 20100927_2056m66

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100928_0014m37
title: RAVE Field 20100928_0014m37

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100928_0321m37
title: RAVE Field 20100928_0321m37

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100928_0411m03
title: RAVE Field 20100928_0411m03

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100928_2021m15
title: RAVE Field 20100928_2021m15

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100928_2206m21
title: RAVE Field 20100928_2206m21

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100929_0235m78
title: RAVE Field 20100929_0235m78

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20100929_0359m65
title: RAVE Field 20100929_0359m65

description: A field from the RAVE survey