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TweetsCOV19 - A Semantically Annotated Corpus of Tweets About the COVID-19 Pandemic (Part 1, October 2019 - April 2020)

<a href="https://data.gesis.org/tweetscov19/">TweetsCOV19</a> is a semantically annotated corpus of Tweets about the COVID-19 pandemic. It is a subset of <a href="https://data.gesis.org/tweetskb">TweetsKB</a> and aims at capturing online discourse about various aspects of the pandemic and its societal impact. Metadata information about the tweets as well as extracted entities, sentiments, hashtags, user mentions, and resolved URLs are exposed in RDF using established RDF/S vocabularies*. We also provide a tab-separated values (tsv) version of the dataset. Each line contains features of a tweet instance. Features are separated by tab character ("\t"). The following list indicate the feature indices: <ol> <li>Tweet Id: Long.</li> <li>Username: String. Encrypted for privacy issues*.</li> <li>Timestamp: Format ( "EEE MMM dd HH:mm:ss Z yyyy" ).</li> <li>#Followers: Integer.</li> <li>#Friends: Integer.</li> <li>#Retweets: Integer.</li> <li>#Favorites: Integer.</li> <li>Entities: String. For each entity, we aggregated the original text, the annotated entity and the produced score from <a href="https://github.com/yahoo/FEL">FEL</a> library. Each entity is separated from another entity by char ";". Also, each entity is separated by char ":" in order to store "original_text:annotated_entity:score;". If FEL did not find any entities, we have stored "null;".</li> <li>Sentiment: String. <a href="http://sentistrength.wlv.ac.uk/">SentiStrength</a> produces a score for positive (1 to 5) and negative (-1 to -5) sentiment. We splitted these two numbers by whitespace char " ". Positive sentiment was stored first and then negative sentiment (i.e. "2 -1").</li> <li>Mentions: String. If the tweet contains mentions, we remove the char "@" and concatenate the mentions with whitespace char " ". If no mentions appear, we have stored "null;".</li> <li>Hashtags: String. If the tweet contains hashtags, we remove the char "#" and concatenate the hashtags with whitespace char " ". If no hashtags appear, we have stored "null;".</li> <li>URLs: String: If the tweet contains URLs, we concatenate the URLs using ":-: ". If no URLs appear, we have stored "null;"</li> </ol> This dataset consists of 8,151,524 tweets in total, posted by 3,664,518 users and reflects the societal discourse about COVID-19 on Twitter in the period of October 2019 until April 2020. To extract the dataset from <a href="https://data.gesis.org/tweetskb">TweetsKB</a>, we compiled a seed list of 268 COVID-19-related <a href="https://data.gesis.org/tweetscov19/keywords.txt">keywords</a>. * For the sake of privacy, we anonymize user IDs and we do not provide the text of the tweets.

CT, XRF, MSCL data and reconstructions in support of Reilly et al., (2019) Holocene break-up and reestablishment of the Petermann Ice Tongue, Northwest Greenland

Data sets include X-Ray Fluorescence (XRF), Computed Tomography (CT), and Multi-Sensor Core Logger (MSCL) data for cores collected from Petermann Fjord during the PETERMANN15 expedition of the Swedish Icebreaker Oden. Also, included are Fjord Ice-Rafted Debris (IRD) stacks and reconstructed Petermann Ice Tongue extents.   XRF data includes data for OD1507 cores, 02UW, 03UW, 03PC, 03TC, 04GC, 06PC, 10PC, 40TC, 40PC. CT number data and CT derived IRD counts includes data for OD1507 cores, 02UW, 03UW, 03PC, 03TC, 04GC, 06PC, 08GC, 10PC, 40TC, 40PC. MSCL data includes data for OD1507 cores, 01UW, 02UW, 03UW, 01GC, 03PC, 03TC, 04GC, 06PC, 06TC, 08GC, 10PC, 10TC, 11GC, 12GC, 14GC, 37PC, 37TC, 40PC, 40TC, 41GC

Austrian Science Fund (FWF) Open Access Compliance Monitoring 2019

I. Executive summary The Austrian Science Fund (FWF), which is Austria's main funding organisation for basic research, encourages and helps all project leaders and project staff members to make their peer-reviewed research results freely available on the Internet. Any exceptions must be clearly indicated and justified. For projects that started after 1 January 2015, open access has been compulsory for all peer-reviewed publications. All principal investigators in FWF-funded projects are obliged to submit a final report within three months of completing their projects. In 2019 all in all 565 final reports were submitted to the FWF, 44 out of them couldn't report publications by now. The publications and other data mentioned in those reports are archived and analysed by the FWF. This report examines the state of compliance with open access requirements on the basis of final project reports submitted in the year 2019. Main findings: -A total of 9.353 publications were listed in the final project reports submitted in 2019. -Of those publications, 7.326 were conclusively identified as peer-reviewed. -Regarding compliance with the FWF's Open Access Policy, the analysis shows that 89% of the peer-reviewed publications that are listed in the submitted final reports of FWF projects in 2019 are openly accessible (2015: 83%, 2016:   92%, 2017: 90%, 2018: 92%). -The most frequently chosen option is hybrid open access (40%). The share of old open access is 19%, the share of green open access 22% and other open access 8%. -The majority of peer-reviewed publications submitted are journal articles (91%), 91% of which are openly accessible. -The lowest rate of compliance with the FWF's Open Access Policy can be found in editions, contributions to edited volumes and monographs (42%). -Although open access is not compulsory for non peer-reviewed publications, 43% of  those publications are freely available through the internet. -The absolute number of publications listed in final reports in 2019 includes 565 publications that are mentioned several times in different projects; however, those repetitions do not ultimately affect the relative share of open access publications (89%). II. Bias Half of the publications were entered in the FWF’s database manually and with utmost care when the final project reports were received. Nevertheless, it is not possible to rule out minor errors entirely. The other half has been submitted to the FWF via a research documentation system (provided by ©Researchfish) in which FWF-funded researchers are able to enter and update their research data on an ongoing basis. The last check of the open access status was performed in January 2020. In some cases, the embargo period may have already expired, and publications labelled other open access in the FWF’s database may now be accessible through green open access. Whenever the status "peer-reviewed" could not be clearly identified according to FWF guidelines, the publications were classified as non peer-reviewed. Openly available non peer-reviewed publications were entered as 'openly available'.

Fig. 18 in Revision of the stygobiont gastropod genera Plagigeyeria Tomlin, 1930 and Travunijana Grego & Glöer, 2019 (Mollusca; Gastropoda; Moitessieriidae and Hydrobiidae) in Hercegovina and adjacent regions

Fig. 18. Localities of Plagigeyeria species in Hercegovina and adjacent regions and the most likely distribution range of the known species within the related aquifers (colour blotches) and sampling localities (dots with numbers). Freshwater springs are in circles and brackish or submarine springs are as marked by diamonds, arrows show main karst conduits and locality numbers are according to the legend from Fig. 1.

Fig. 15. A in Revision of the stygobiont gastropod genera Plagigeyeria Tomlin, 1930 and Travunijana Grego & Glöer, 2019 (Mollusca; Gastropoda; Moitessieriidae and Hydrobiidae) in Hercegovina and adjacent regions

Fig. 15. A. Travunijana robusta (Schütt, 1959), Trebinje, Izvor Tučevac, SBMNH 626406. B. Travunijana robusta (Schütt, 1959), Trebinje, Vrelo Vruljak 1, SBMNH 625919. C. Travunijana robusta asculpta (Schütt, 1972), Croatia, Dubrovnik, Komolac, Izvor Ombla, SBMNH 625896. D. Travunijana gloeri sp. nov., Bjeljani, Dabarsko Polje, Vrelo Vrijeka, paratype SBMNH 632722. Scale bars = 1mm. (SEM SBMNH Vanessa Delnavaz).

Fig. 17 in Revision of the stygobiont gastropod genera Plagigeyeria Tomlin, 1930 and Travunijana Grego & Glöer, 2019 (Mollusca; Gastropoda; Moitessieriidae and Hydrobiidae) in Hercegovina and adjacent regions

Fig. 17. Karst aquifers of Hercegovina and their estimated delimitations to drainage basins. As most to the karst aquifers in Hercegovina are represented by subterranean karst conduits, it is difficult to exactly set the watersheds. The subterranean drainage divides in this map were estimated based on our recent knowledge about the geology, hydrogeology and geomorphology. The boundaries are unstable and strongly dependent on a dynamic system of particular water level alternations in each perched water table within the basin as well as on their particular saturation. The interim oversaturation in the particular basin could lead to water divergence to the neighbouring river basin. The supposed inter-basin water divergences at high water saturation are highlighted by blue arrows. Each drainage basin could be further divided to separate subterranean karst conduits, which could also represent a kind of particularly isolated habitat. Freshwater springs are in circles and brackish or submarine spring are as diamonds with locality numbers according to the legend from Figure 1.

Fig. 13 in Revision of the stygobiont gastropod genera Plagigeyeria Tomlin, 1930 and Travunijana Grego & Glöer, 2019 (Mollusca; Gastropoda; Moitessieriidae and Hydrobiidae) in Hercegovina and adjacent regions

Fig. 13. Historical type specimens of species of Plagigeyeria from Hercegovina and adjacent regions, currently transferred to the genus Travunijana Grego & Glöer, 2019. A. Plagigeyeria robusta Schütt, 1959, Hercegovina, spring Čepelica near Bileća, holotype (SMF 162833). B. P. klemmi Schütt, 1961, Croatia, spring Stenjevac south of Vrgorac, holotype (SMF 164344). C. P. tribunicae Schütt, 1963, Hercegovina, spring Trebišnjica near Bileća, holotype (SMF 168968). D. P. edlaueri Schütt, 1961, Hercegovina, spring Sopot Mlin in Svitavsko Blato, holotype (SMF 164342). E. P. angelovi Schütt, 1972, Croatia, spring Ombla (Rijeka Dubrovačka) in Komolac, holotype (SMF 221242). F. P. nitida Schütt, 1963, Hercegovina, spring Sopot Mlin in Svitavsko Blato, holotype (SMF 168970).

Fig. 12. A–B in Revision of the stygobiont gastropod genera Plagigeyeria Tomlin, 1930 and Travunijana Grego & Glöer, 2019 (Mollusca; Gastropoda; Moitessieriidae and Hydrobiidae) in Hercegovina and adjacent regions

Fig. 12. A–B. Plagigeyeria jakabi sp. nov., Studenci, spring Guljevina A. Holotype (HNHM-MOLL-104172). B. Paratype (JG F1204). C–D. P. vriosticaensis sp. nov., Vitina, Vrelo Vrioštica C. Holotype (HNHM-MOLL-104182). D. Paratype (JG F1214). E. P. angyaldorkae sp. nov., Vrelo Jakšenica (holotype HNHM-MOLL- 104163). F. P. ozimeci sp. nov., Vitina, Vrelo Vrioštica, holotype (HNHM-MOLL-104173). G–K. P. ozimeci sp. nov., Vitina, Vrelo Vrioštica, paratypes (JG F1215).

Fig. 10. A in Revision of the stygobiont gastropod genera Plagigeyeria Tomlin, 1930 and Travunijana Grego & Glöer, 2019 (Mollusca; Gastropoda; Moitessieriidae and Hydrobiidae) in Hercegovina and adjacent regions

Fig. 10. A. Plagigeyeria erossi sp. nov., Donja Jablanica, Komadinovo Vrelo, paratype (SBMNH 632010). B. P. listicaensis sp. nov., Široki Brijeg, Vrelo Lištice, Bilo Vrilo, paratype (SBMNH 626350). C. P. olsavskyi sp. nov., Studenci, Vrilo Kajtazovina, paratype (SBMNH 626245). D. P. olsavskyi sp. nov., Ljubuški, spring Mali Prokop, paratype (SBMNH 626260). Scale bars = 1 mm (SEM SBMNH Vanessa Delnavaz).

Fig. 6. A in Revision of the stygobiont gastropod genera Plagigeyeria Tomlin, 1930 and Travunijana Grego & Glöer, 2019 (Mollusca; Gastropoda; Moitessieriidae and Hydrobiidae) in Hercegovina and adjacent regions

Fig. 6. A. Plagigeyeria ljutaensis sp. nov., Konjic, Vrelo Ljuta, paratype (SBMNH 626401). B. P. konjicensis sp. nov., Konjic, left side spring of Ljuta River, paratype (SBMNH 626249). C. P. plagiostoma (A. J. Wagner, 1914), Sarajevo, Ilidža, Vrelo Bosne, (SBMNH 632718). D. P. inflata (A. J. Wagner, 1928), Sarajevo, Ilidža, Vrelo Bosne (SBMNH 33032). Scale bars = 1 mm (SEM SBMNH Vanessa Delnavaz).

Fig. 4 in Revision of the stygobiont gastropod genera Plagigeyeria Tomlin, 1930 and Travunijana Grego & Glöer, 2019 (Mollusca; Gastropoda; Moitessieriidae and Hydrobiidae) in Hercegovina and adjacent regions

Fig. 4. Photos of studied localities in Hercegovina. A. Studenci, Vrilo Guljevina (LT of Plagigeyeria jakabi sp. nov.). B. Široki Brijeg, Bijelo Vrelo – Lištica 2 (LT of P. listicaensis sp. nov.) C. Donji Prolog, spring Mali Prokop (P. olsavskyi sp. nov.). Photos: Jozef Grego, Dorottya Angyal and Mário Olšavský.

opencc-by-4.0Sep 2020View details →

Greenland Peregrine Falcon eggshell thickness monitoring data 1972 - 2019

The Peregrine Falcon (Falco peregrinus tundrius) population in Greenland has been monitored in different survey areas in South and West Greenland since 1972. At visits to Peregrine Falcon nests, eggshell fragments from hatched eggs as well as addled (dead) eggs left behind have been collected with the aim of monitoring the thickness of the eggshells as well as analysing the whole eggs for contaminants. The shell thickness serves as a proxy for the falcons’ exposure to certain persistant organic pollutants, in particular DDT and its breakdown products (see summaries in Cade et al. 1988). This data set contains the raw data on 6665 eggshell thickness measurements of: 1.    Whole eggs from South Greenland 1986-2015 2.    Eggshell fragments from the study area in South Greenland 1981-2019 3.    Eggshell fragments from the study area around Kangerlussuaq in West Greenland 1972-1989 The data set contains a mix of measurements of shell thickness including or excluding the eggshell membranes from the same clutch of eggs. Based on those measurements the average membrane thickness is 0.071 mm (SD=0.013) – a figure confirmed by other studies – and this ’membrane factor’ can be added or subtracted for comparisons with other data sets. Further details regarding the sampling areas, measurement methods and the results of trends analyses of changes in shell thickness are provided in Falk et al. (2006 and 2018). The file named 1_Data_Eggshell_Thickness_1972-2019.csv contains the raw measurements data and the file 2_ReadMe_Eggshell_Thickness_1972-2019.txt specifies the content.  The file named 3_Rscript_Eggshell_Thickness_1972-2019.R provides an R script for summarizing and plotting the data as shown in the file 4_Plot_Eggshell_Thickness_1972-2019.pdf

opencc-by-4.0Mar 2020View details →

[2019 QSM Reconstruction Challenge] Submissions Stage 2

This repository contains the original, unaltered files submitted to Stage 2 of the 2019 Quantitative Susceptibility Mapping Reconstruction Challenge. The data provided to applicants of the challenge along with the scripts used to obtain the evaluation metrics are available <a href="https://doi.org/10.5281/zenodo.4559540">here</a>. Information about the submitted solutions and resulting analysis metrics are available <a href="https://doi.org/10.5281/zenodo.3687196">here</a>. The results of the challenge are fully reported in the journal article "<a href="http://doi.org/10.1002/mrm.28754">QSM Reconstruction Challenge 2.0: Design and Report of Results</a>".

opencc-by-4.0Oct 2020View details →

AILA 2019 Precedent & Statute Retrieval Task

Dataset of the AILA (Artificial Intelligence for Legal Assistance) Track at FIRE 2019 Track website : https://sites.google.com/view/fire-2019-aila/ Conference website : http://fire.irsi.res.in/fire/2019/home In countries following the Common Law system (e.g., UK, USA, Canada, Australia, India), there are two primary sources of law – Statutes (established laws) and Precedents (prior cases). Statutes deal with applying legal principles to a situation (facts / scenario / circumstances which lead to filing the case). Precedents or prior cases help a lawyer understand how the Court has dealt with similar scenarios in the past, and prepare the legal reasoning accordingly. When a lawyer is presented with a situation (that will potentially lead to filing of a case), it will be very beneficial to him/her if there is an automatic system that identifies a set of related prior cases involving similar situations as well as statutes/acts that can be most suited to the purpose in the given situation. Such a system shall not only help a lawyer but also benefit a common man, in a way of getting a preliminary understanding, even before he/she approaches a lawyer. It shall assist him/her in identifying where his/her legal problem fits, what legal actions he/she can proceed with (through statutes) and what were the outcomes of similar cases (through precedents). Motivated by the above scenario, we propose two tasks here : <ul> <li>Task 1 : Identifying relevant prior cases for a given situation</li> <li>Task 2 : Identifying most relevant statutes for a given situation</li> </ul>   Task Description: You will be given a set of 50 queries, each of which describes a situation. Task 1: Identifying relevant prior cases We provide ~3000 case documents of cases that were judged in the Supreme Court of India. For each query, the task is to retrieve the most similar / relevant case document with respect to the situation in the given query. Task 2: Identifying relevant statutes We have identified a set of 197 statutes (Sections of Acts) from Indian law, that are relevant to some of the queries. We provide the title and description of these statutes. For each query, the task is to identify the most relevant statutes (from among the 197 statutes). Note that, the task can be modelled either as an unsupervised retrieval task (where you search for relevant statues) or as a supervised classification task (e.g., trying to predict for each statute whether it is relevant). For the latter, case documents provided for Task 1 can be utilised. However, if a team wishes to apply supervised models, then it is their responsibility to create the necessary training data.

Discrete flow cytometry of underway samples from the Gradients 2019 cruise using a BD Influx Cell Sorter

The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the Gradients 2019 (Gradients 3/KM1906) oceanographic research cruise in the Northeast Pacific Ocean. The analysis includes cell abundance, forward light scatter, and pigment fluorescence of individual cells, including picoeukaryotes and the cyanobacteria Prochlorococcus and Synechococcus. Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton

Discrete flow cytometry from the Gradients 2019 cruise using a BD Influx Cell Sorter

The dataset consists of BD Influx-based analysis of phytoplankton populations and heterotrophic bacteria from discrete flow cytometry data collected during the Gradients 2019 (Gradients 3/KM1906) oceanographic research cruise in the Northeast Pacific Ocean. The analysis includes cell abundance, forward light scatter, and pigment fluorescence of individual cells, including bacteria, picoeukaryotes, and the cyanobacteria Prochlorococcus and Synechococcus. Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton

opencc-by-4.0Nov 2020View details →

Acciones más activas de España y su histórico desde Enero 2019

Este script recoge los datos de las acciones de las cincuenta empresas más activas en la bolsa española, así como el histórico de cada una de ellas desde Enero de 2019.

opencc-by-4.0Nov 2020View details →

2019 H1B Petition Data Analysis

In the United States, H1B is one of the Non-immigrant visas. It allows foreign workers to work in the States temporarily in specialty occupations such as IT, medical or business industries. It also requires workers to have a bachelor's or higher degree. Until 2020, more than 580K people are working under H1B in the USA. Upon the current immigration laws, the United States Citizenship and Immigration Services issues 65K H1B visas per year.  This project aims to help the users understand how H1B visa affects the IT industry in the United States. An overview of H1B visa by positions, salary, top 10 sponsors, and worksite states. Last, this project dives into an in-depth analysis of the denied H1B cases by job titles and salaries.  Contents: - Overview of Top 30 Job Titles With Most Filed H1B Cases - Number of IT Job H1B Cases by States - Top 10 Sponsors With Most Filed H1B Cases (IT Job ONLY) - Number of Top 12 IT Job Employment Comparison : H1B vs National  - Avg Salary Comparison: H1B vs National  - H1B Case Status Percentages  - Deneid H1B Cases     - Salary vs Job titles      - 5 Numbers Summary: Certified vs Denied  - Certified Rate vs Avg Salary : Top 10 Sponsors - Relationship between Salary and Certified Rate

opencc-by-4.0Nov 2020View details →

Planilha com artigos publicados no período de janeiro de 2000 a dezembro de 2019, no periódico Journal of Information Ethics

Planilha com artigos publicados no período de janeiro de 2000 a dezembro de 2019, no periódico Journal of Information Ethics (JIE) a partir da base referencial Library & Information Science Abstracts (LISA) que abordem especificamente a temática ética da informação no campo da Ciência da Informação.