cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48420/25127747
title: Membership in progressive and left-wing associations in Latin America (Membresía en asociaciones progresistas y de izquierda en América Latina)

description: ENG: The dataset "Membership in progressive and left-wing associations in Latin America" includes more than 200 political parties, social movements, and labour unions affiliated with various international organizations. Inclusion in this list does not necessarily imply that the parties mentioned strictly adhere to left-wing ideologies; rather, it is indicative of participation in international organisations declaring a progressive or leftist identity.<br>ESP: La base de datos "Membresía en asociaciones progresistas y de izquierda en América Latina" abarca más de 200 partidos políticos, movimientos sociales y sindicatos afiliados a diversas organizaciones internacionales. La inclusión en esta lista no significa que los partidos sigan estrictamente una ideología de izquierda, sino que las organizaciones internacionales se identifican a si mismas como parte de una plataforma progresista o de izquierdas.
DOI: 10.48420/25127747.v1
title: Membership in progressive and left-wing associations in Latin America (Membresía en asociaciones progresistas y de izquierda en América Latina)

description: ENG: The dataset "Membership in progressive and left-wing associations in Latin America" includes more than 200 political parties, social movements, and labour unions affiliated with various international organizations. Inclusion in this list does not necessarily imply that the parties mentioned strictly adhere to left-wing ideologies; rather, it is indicative of participation in international organisations declaring a progressive or leftist identity.<br>ESP: La base de datos "Membresía en asociaciones progresistas y de izquierda en América Latina" abarca más de 200 partidos políticos, movimientos sociales y sindicatos afiliados a diversas organizaciones internacionales. La inclusión en esta lista no significa que los partidos sigan estrictamente una ideología de izquierda, sino que las organizaciones internacionales se identifican a si mismas como parte de una plataforma progresista o de izquierdas.
DOI: 10.5281/zenodo.10610400
title: pimenta_racemosa_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10610401
title: pimenta_racemosa_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10610264
title: MonuMAI Citizen Science Project Dataset

description: The latest Deep Learning (DL) models for detection and classification have achieved an unprecedented performance over classical machine learning algorithms. However, DL models are black-box methods hard to debug, interpret, and certify. DL alone cannot provide explanations that can be validated by a non technical audience. In contrast, symbolic AI systems that convert concepts into rules or symbols -- such as knowledge graphs -- are easier to explain. However, they present lower generalisation and scaling capabilities. A very important challenge is to fuse DL representations with expert knowledge. One way to address this challenge, as well as the performance-explainability trade-off is by leveraging the best of both streams without obviating domain expert knowledge. We tackle such problem by considering the symbolic knowledge is expressed in form of a domain expert knowledge graph. We present the eXplainable Neural-symbolic learning (X-NeSyL) methodology, designed to learn both symbolic and deep representations, together with an explainability metric to assess the level of alignment of machine and human expert explanations. 

MonuMAI database contains 1.514 RGB images of monument facades of four architectural styles Hispanic-Muslim, Gothic, Renaissance, and Baroque. Where the used images for building Monumai were selected so that the monument is centered, fill most of the image, and have high quality so the monument features can be observable.

MonuMAI dataset includes 6650 annotated key elements distributed into the fifteen architectural element classes. A statistic analysis of these elements is shown in the Table.Detection annotation is provided in Pascal VOC format XML.

MonuMAI app

Visit https://monumai.ugr.es

 

Terms of use

The annotation in this dataset along with the images are licensed under a Creative Commons Attribution 4.0 License.
DOI: 10.5281/zenodo.10610265
title: MonuMAI Citizen Science Project Dataset

description: The latest Deep Learning (DL) models for detection and classification have achieved an unprecedented performance over classical machine learning algorithms. However, DL models are black-box methods hard to debug, interpret, and certify. DL alone cannot provide explanations that can be validated by a non technical audience. In contrast, symbolic AI systems that convert concepts into rules or symbols -- such as knowledge graphs -- are easier to explain. However, they present lower generalisation and scaling capabilities. A very important challenge is to fuse DL representations with expert knowledge. One way to address this challenge, as well as the performance-explainability trade-off is by leveraging the best of both streams without obviating domain expert knowledge. We tackle such problem by considering the symbolic knowledge is expressed in form of a domain expert knowledge graph. We present the eXplainable Neural-symbolic learning (X-NeSyL) methodology, designed to learn both symbolic and deep representations, together with an explainability metric to assess the level of alignment of machine and human expert explanations. 

MonuMAI database contains 1.514 RGB images of monument facades of four architectural styles Hispanic-Muslim, Gothic, Renaissance, and Baroque. Where the used images for building Monumai were selected so that the monument is centered, fill most of the image, and have high quality so the monument features can be observable.

MonuMAI dataset includes 6650 annotated key elements distributed into the fifteen architectural element classes. A statistic analysis of these elements is shown in the Table.Detection annotation is provided in Pascal VOC format XML.

MonuMAI app

Visit https://monumai.ugr.es

 

Terms of use

The annotation in this dataset along with the images are licensed under a Creative Commons Attribution 4.0 License.
DOI: 10.5281/zenodo.10610377
title: Socioeconomic determinants of self-rated health among hotel housekeepers in the Balearic Islands (Spain)

description: The aim of the study is to estimate the personal, occupational, psychosocial and behavioural characteristics of hotel housekeepers in the Balearic Islands and to explore which factors influence their self-rated health.
DOI: 10.5281/zenodo.10610378
title: Socioeconomic determinants of self-rated health among hotel housekeepers in the Balearic Islands (Spain)

description: The aim of the study is to estimate the personal, occupational, psychosocial and behavioural characteristics of hotel housekeepers in the Balearic Islands and to explore which factors influence their self-rated health.
DOI: 10.6084/m9.figshare.21070097
title: Suicidal behaviors among intravenous drug users: a meta-analysis

description: Suicidal behaviors including ideations and attempts may ultimately lead to suicide especially among intravenous drug users (IVDUs). The present study assessed the prevalence, sociodemographic characteristics, risky behaviors, mental health conditions, and type of drug use associated with suicidal behaviors among IVDUs. Studies in English published from January 1, 1995 to February 1, 2022 were searched on <i>PubMed, Scopus, Cochrane</i>, and <i>Web of Science</i> to identify papers on variables associated with suicidal behaviors (ideation and attempts) among IVDUs. Out of 10,795 papers, 21 studies met the eligibility criteria. Among IVDUs, the findings indicated a past-year pooled prevalence rate of 35% for suicide ideations (95% CI, 22%–48%) and 25% for suicide attempts (95% CI, 13%–36%). Generally, suicide ideations were associated with being homeless, having a previous history of physical and sexual abuse, and depression. Suicide attempts were associated with being female, having a previous history of physical and sexual abuse, having depression or other mental health disorders (e.g., anxiety, stress, and serious mental health disorders), and having cocaine, methamphetamine, sedative-hypnotic, and polysubstance use disorders. Integrated treatment and assertive community treatment approaches may be promoted to prevent suicidal behaviors. Such programs can be implemented for referring individuals to receive suicide attempt-concerned interventions and motivational therapy.
DOI: 10.6084/m9.figshare.21070097.v1
title: Suicidal behaviors among intravenous drug users: a meta-analysis

description: Suicidal behaviors including ideations and attempts may ultimately lead to suicide especially among intravenous drug users (IVDUs). The present study assessed the prevalence, sociodemographic characteristics, risky behaviors, mental health conditions, and type of drug use associated with suicidal behaviors among IVDUs. Studies in English published from January 1, 1995 to February 1, 2022 were searched on <i>PubMed, Scopus, Cochrane</i>, and <i>Web of Science</i> to identify papers on variables associated with suicidal behaviors (ideation and attempts) among IVDUs. Out of 10,795 papers, 21 studies met the eligibility criteria. Among IVDUs, the findings indicated a past-year pooled prevalence rate of 35% for suicide ideations (95% CI, 22%–48%) and 25% for suicide attempts (95% CI, 13%–36%). Generally, suicide ideations were associated with being homeless, having a previous history of physical and sexual abuse, and depression. Suicide attempts were associated with being female, having a previous history of physical and sexual abuse, having depression or other mental health disorders (e.g., anxiety, stress, and serious mental health disorders), and having cocaine, methamphetamine, sedative-hypnotic, and polysubstance use disorders. Integrated treatment and assertive community treatment approaches may be promoted to prevent suicidal behaviors. Such programs can be implemented for referring individuals to receive suicide attempt-concerned interventions and motivational therapy.
DOI: 10.5281/zenodo.10609431
title: UCR datasets for RAISE plagiarism checker

description: UCR datasets for RAISE plagiarism checker
DOI: 10.5281/zenodo.10609432
title: UCR datasets for RAISE plagiarism checker

description: UCR datasets for RAISE plagiarism checker
DOI: 10.35003/e3qyoc/cml2iv
title: RDA Potsdam Poster Elfrun Lehmann et al_ 01Feb2024.pptx

description: :unav
DOI: 10.35003/e3qyoc/fxpkvf
title: RDA Potsdam Abstract Elfrun Lehmann et al_01Feb2024.docx

description: :unav
DOI: 10.5281/zenodo.10610300
title: Multicentric Observational Study on Safety and Tolerability of COVID-19 Vaccines in Patients with Angioedema with C1 Inhibitor Deficiency Data from Italian Network on Hereditary and Acquired Angioedema (ITACA)

description: Parente R, Sartorio S, Brussino L, De Pasquale T, Zoli A, Agolini S, Di Agosta E, Quattrocchi P, Borrelli P, Bignardi D, Petraroli A, Senter R, Popescu Janu V, Cogliati C, Guarino MD, Rossi O, Firinu D, Pucci S, Spadaro G, Triggiani M, Cancian M, Zanichelli A. Multicentric Observational Study on Safety and Tolerability of COVID-19 Vaccines in Patients with Angioedema with C1 Inhibitor Deficiency: Data from Italian Network on Hereditary and Acquired Angioedema (ITACA). Vaccines (Basel). 2023 Apr 16;11(4):852. doi: 10.3390/vaccines11040852. PMID: 37112764; PMCID: PMC10145557.

Angioedema due to C1 inhibitor deficiency (AE-C1-INH) is a rare disease characterized by recurrent and unpredictable attacks of angioedema. Multiple trigger factors, including trauma, emotional stress, infectious diseases, and drugs, could elicit angioedema attacks. The aim of this study was to collect data on the safety and tolerability of COVID-19 vaccines in a population of patients affected by AE-C1-INH. Adult patients with AE-C1-INH, followed by Reference Centers belonging to the Italian Network for Hereditary and Acquired Angioedema (ITACA), were enrolled in this study. Patients received nucleoside-modified mRNA vaccines and vaccines with adenovirus vectors. Data on acute attacks developed in the 72 h following COVID-19 vaccinations were collected. The frequency of attacks in the 6 months after the COVID-19 vaccination was compared with the rate of attacks registered in the 6 months before the first vaccination. Between December 2020 and June 2022, 208 patients (118 females) with AE-C1-INH received COVID-19 vaccines. A total of 529 doses of the COVID-19 vaccine were administered, and the majority of patients received mRNA vaccines. Forty-eight attacks of angioedema (9%) occurred within 72 h following COVID-19 vaccinations. About half of the attacks were abdominal. Attacks were successfully treated with on-demand therapy. No hospitalizations were registered. There was no increase in the monthly attack rate following the vaccination. The most common adverse reactions were pain at the site of injection and fever. Our results show that adult patients with angioedema due to C1 inhibitor deficiency can be safely vaccinated against SARS-CoV-2 in a controlled medical setting and should always have available on-demand therapies.
DOI: 10.5281/zenodo.10610301
title: Multicentric Observational Study on Safety and Tolerability of COVID-19 Vaccines in Patients with Angioedema with C1 Inhibitor Deficiency Data from Italian Network on Hereditary and Acquired Angioedema (ITACA)

description: Parente R, Sartorio S, Brussino L, De Pasquale T, Zoli A, Agolini S, Di Agosta E, Quattrocchi P, Borrelli P, Bignardi D, Petraroli A, Senter R, Popescu Janu V, Cogliati C, Guarino MD, Rossi O, Firinu D, Pucci S, Spadaro G, Triggiani M, Cancian M, Zanichelli A. Multicentric Observational Study on Safety and Tolerability of COVID-19 Vaccines in Patients with Angioedema with C1 Inhibitor Deficiency: Data from Italian Network on Hereditary and Acquired Angioedema (ITACA). Vaccines (Basel). 2023 Apr 16;11(4):852. doi: 10.3390/vaccines11040852. PMID: 37112764; PMCID: PMC10145557.

Angioedema due to C1 inhibitor deficiency (AE-C1-INH) is a rare disease characterized by recurrent and unpredictable attacks of angioedema. Multiple trigger factors, including trauma, emotional stress, infectious diseases, and drugs, could elicit angioedema attacks. The aim of this study was to collect data on the safety and tolerability of COVID-19 vaccines in a population of patients affected by AE-C1-INH. Adult patients with AE-C1-INH, followed by Reference Centers belonging to the Italian Network for Hereditary and Acquired Angioedema (ITACA), were enrolled in this study. Patients received nucleoside-modified mRNA vaccines and vaccines with adenovirus vectors. Data on acute attacks developed in the 72 h following COVID-19 vaccinations were collected. The frequency of attacks in the 6 months after the COVID-19 vaccination was compared with the rate of attacks registered in the 6 months before the first vaccination. Between December 2020 and June 2022, 208 patients (118 females) with AE-C1-INH received COVID-19 vaccines. A total of 529 doses of the COVID-19 vaccine were administered, and the majority of patients received mRNA vaccines. Forty-eight attacks of angioedema (9%) occurred within 72 h following COVID-19 vaccinations. About half of the attacks were abdominal. Attacks were successfully treated with on-demand therapy. No hospitalizations were registered. There was no increase in the monthly attack rate following the vaccination. The most common adverse reactions were pain at the site of injection and fever. Our results show that adult patients with angioedema due to C1 inhibitor deficiency can be safely vaccinated against SARS-CoV-2 in a controlled medical setting and should always have available on-demand therapies.
DOI: 10.35003/l3gxvm
title: Replication Data for: Isotopic constraints on genetic relationships among group IIIF iron meteorites, Fitzwater Pass, and the Zinder pallasite

description: Complex interelement trends among magmatic IIIF iron meteorites are difficult to explain by fractional crystallization and have raised uncertainty about their genetic relationships. Nucleosynthetic Mo isotope anomalies provide a powerful tool to assess if individual IIIF irons are related to each other. However, while trace element data are available for all nine IIIF irons, Mo isotopic data are limited to three samples. We present Mo isotopic data for all but one IIIF irons that help assess the genetic relationships among these irons, together with new Mo and W isotopic data for Fitzwater Pass (classified IIIF), and the Zinder pallasite (for which a cogenetic link with IIIF irons has been proposed). After correction for cosmic-ray exposure, the Mo isotopic compositions of the IIIF irons are identical within uncertainty and confirm their belonging to carbonaceous chondrite (CC)-type meteorites. The mean Mo isotopic composition of group IIIF overlaps those groups IIF and IID, but a common parent body for these groups is ruled out based on distinct trace element systematics. The new Mo isotopic data do not argue against a single parent body for the IIIF irons, and suggest a close genetic link among these samples. In contrast, Fitzwater Pass has distinct Mo and W isotopic compositions, identical to those of some non-magmatic IAB irons. The Mo and W isotope data for Zinder indicate that this meteorite is not related to IIIF irons, but belongs to the non-carbonaceous (NC) type and has the same Mo and W isotopic composition as main-group pallasites.
DOI: 10.5281/zenodo.10609241
title: Identification of transcription factor co-binding patterns with non-negative matrix factorization

description: This repository contains pre-processed data required to reproduce the results of the paper "Identification of transcription factor co-binding patterns with non-negative matrix factorization". The repository with the code can be found here: https://bitbucket.org/CBGR/cobind_manuscript/src/master/. Data include transcription factor binding sites (TFBSs) for 7 species from UniBind 2021 database, joined motif collection from CIS-BP and JASPAR 2022 databases and corresponding physical protein-protein interaction (PPI) data from STRING database.
DOI: 10.5281/zenodo.7681482
title: Identification of transcription factor co-binding patterns with non-negative matrix factorization

description: This repository contains pre-processed data required to reproduce the results of the paper "Identification of transcription factor co-binding patterns with non-negative matrix factorization". The repository with the code can be found here: https://bitbucket.org/CBGR/cobind_manuscript/src/master/. Data include transcription factor binding sites (TFBSs) for 7 species from UniBind 2021 database, joined motif collection from CIS-BP and JASPAR 2022 databases and corresponding physical protein-protein interaction (PPI) data from STRING database.
DOI: 10.5281/zenodo.7681483
title: Identification of transcription factor co-binding patterns with non-negative matrix factorization

description: This repository contains pre-processed data required to reproduce the results of the paper "Identification of transcription factor co-binding patterns with non-negative matrix factorization". The repository with the code can be found here: https://bitbucket.org/CBGR/cobind_manuscript/src/master/. Data include transcription factor binding sites (TFBSs) for 7 species from UniBind 2021 database, joined motif collection from CIS-BP and JASPAR 2022 databases and corresponding physical protein-protein interaction (PPI) data from STRING database.
DOI: 10.5519/qd.lai7mnsf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (19 records)
DOI: 10.5281/zenodo.10610427
title: Data and Code Accompanying the Study "Are Sounds Sound for Phylogenetic Reconstruction?" by Häuser et al. (2024)

description: This repository accompanies the study by Häuser et al. (2024):



Häuser, Luise; Jäger, Gerhard; List, Johann-Mattis; Rama, Taraka; and Stamatakis, Alexandros (2024): Are sounds sound for phylogenetic reconstruction? In: Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2024).
DOI: 10.5281/zenodo.10610428
title: Data and Code Accompanying the Study "Are Sounds Sound for Phylogenetic Reconstruction?" by Häuser et al. (2024)

description: This repository accompanies the study by Häuser et al. (2024):



Häuser, Luise; Jäger, Gerhard; List, Johann-Mattis; Rama, Taraka; and Stamatakis, Alexandros (2024): Are sounds sound for phylogenetic reconstruction? In: Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2024).
DOI: 10.35003/fmsfhd
title: Replication Data for: Impact-induced changes in source depth and volume of magmatism on Mercury and their observational signatures

description: Mercury’s crust is mostly the result of partial melting in the mantle associated with solid-state convection. Large impacts induce additional melting by generating subsurface thermal anomalies. By numerically investigating the geodynamical effects of impacts, here we show that impact-generated thermal anomalies interact with the underlying convection modifying the source depth of melt and inducing volcanism that can significantly postdate the impact depending on the impact time and location with respect to the underlying convection pattern. We can reproduce the volume and time of emplacement of the melt sheets in the interior of Caloris and Rembrandt if at about 3.7–3.8 Ga convection in the mantle of Mercury was weak, an inference corroborated by the dating of the youngest large volcanic provinces. The source depth of the melt sheets is located in the stagnant lid, a volume of the mantle that never participated in convection and may contain pristine mantle material.
DOI: 10.35003/kj6srv/esrs7m
title: 41598_2018_25505_MOESM1_ESM.docx

description: :unav
DOI: 10.35003/kj6srv/2rzd2c
title: 41598_2018_25505_Fig1_HTML.webp

description: :unav
DOI: 10.35003/kj6srv/alt0wj
title: Data.txt

description: :unav
DOI: 10.35003/kj6srv/gj7j54
title: 41598_2018_25505_Fig3_HTML.webp

description: :unav
DOI: 10.35003/kj6srv/mlzmu1
title: MANIFEST.TXT

description: :unav
DOI: 10.35003/kj6srv/olgu0u
title: Table1.png

description: :unav
DOI: 10.35003/kj6srv/yekqoh
title: 41598_2018_25505_Fig2_HTML.webp

description: :unav
DOI: 10.35003/kj6srv/1s9dlh
title: Table1.png

description: :unav
DOI: 10.35003/kj6srv/48z3v4
title: 41598_2018_25505_MOESM1_ESM.docx

description: :unav
DOI: 10.35003/kj6srv/itzhkk
title: 41598_2018_25505_Fig3_HTML.webp

description: :unav
DOI: 10.35003/kj6srv/qav50k
title: Data.txt

description: :unav
DOI: 10.35003/kj6srv/vpen7u
title: 41598_2018_25505_Fig2_HTML.webp

description: :unav
DOI: 10.35003/kj6srv/wkb4hi
title: 41598_2018_25505_Fig1_HTML.webp

description: :unav
DOI: 10.5281/zenodo.10610462
title: encrasicholina_punctifer_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10610463
title: encrasicholina_punctifer_spades_01.fasta.gz

description: .
DOI: 10.35003/7d3vb4
title: Replication Data for: Experimentally determined trace element partition coefficients between hibonite, melilite, spinel, and silicate melts.

description: This article provides new data on mineral/melt partitioning in systems relevant to the evolution of chondrites, Calcium Aluminum-Rich Inclusions (CAI) in chondrites and related meteorites. The data set includes experimentally determined mineral/melt partition coefficients between hibonite (CaAl12O19), melilite (Ca2(Al,Mg)2SiO7), spinel (MgAl2O4) and silicate melts for a wide range of trace elements: Sc, Ti, V, Cr, Co, Ni, Cu, Zn, Ga, Ge, Rb, Sr, Y, Zr, Nb, Rh, Cs, Ba, La, Ce, r, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Hf, Ta, W, Pb, Th and U. The experiments were performed at high temperatures (1350 °C &lt; T &lt; 1550 °C) and ambient pressure. The experimental run products were analyzed using electron microprobe (EMPA) and laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The partition coefficients for 38 trace elements were calculated from the LA-ICP-MS data. TRR 170 no. 52