cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2f7hkr
title: CCDC 2241534: Experimental Crystal Structure Determination

description: Related Article: Anita Lazić, Lidija Radovanović, Jelena Rogan, Nataša Valentić, Goran Janjić, Ivana Đorđević, Nemanja Trišović|2023|CrystEngComm|25|3637|doi:10.1039/D3CE00213F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ffyg9
title: CCDC 2247731: Experimental Crystal Structure Determination

description: Related Article: Maciej Wojtaś, Tamara J. Bednarchuk, Igor Bdikin|2023|CrystEngComm|25|3609|doi:10.1039/D3CE00308F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g61xn
title: CCDC 2269941: Experimental Crystal Structure Determination

description: Related Article: Allan E. Underhill, Simon J. Coles, Michael B. Hursthouse|1996|University of Southampton, Crystal Structure Report Archive||764|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.23593113
title: phix.zip

description: Phix sequencing reads
DOI: 10.6084/m9.figshare.23593113.v1
title: phix.zip

description: Phix sequencing reads
DOI: 10.6084/m9.figshare.22633648
title: Supplementary Material for: Polymorphisms of CARD9 Gene Predict Disease Progression and Renal Survival of Immunoglobulin A Nephropathy

description: Introduction: A previous genome-wide association study has identified CARD9 (caspase recruitment domain family member 9) as a susceptibility gene for Immunoglobulin A nephropathy (IgAN), which encodes an adapter protein and is related to mucosal immunity. This study aims to investigate the association of CARD9 variants with the clinicopathological phenotypes and prognosis of IgAN. Methods: Eight SNPs within CARD9 were genotyped using Sequenom MassARRAY iPLEX for 986 IgAN patients in this study. Logistic and linear regression analyses adjusted for age and gender were performed to evaluate the effects of CARD9 gene polymorphisms on clinicopathological phenotypes. The Kaplan‒Meier method and Cox proportional hazard models were applied to analyse the associations between genetic variants and renal survival. Results: The T allele of rs10747047 was strongly associated with high levels of serum creatinine (P = 0.005) and the lower levels of estimated glomerular filtration rate (P = 0.005). The rs10870149-G and rs10870077-C allele were associated with elevated 24-h urine protein excretion (P = 0.041 and 0.022, respectively) and more serious segmental glomerulosclerosis lesions (P = 0.005 and 0.041, respectively) in IgAN patients. Carriers with the T allele of rs10781533 and the C allele of rs3812552 also presented with severe segmental glomerulosclerosis lesions (P = 0.001 and 0.010, respectively). Additionally, rs10747047-C and rs10870077-C alleles were independently related to the poor prognosis of IgAN patients after adjustments for covariates (TT vs. CC HR = 0.138, 95% CI = 0.022-0.871, P = 0.035; GG vs. CC HR = 0.321, 95% CI = 0.123, 0.836, P = 0.020, respectively). Conclusion: CARD9 variants are associated with disease severity and rapid disease progression for IgAN in a Chinese Han population.
DOI: 10.25345/c5b56df5t
title: MassIVE MSV000092299 - metal threads in medieval textiles test 6372
title: Protein-based or animal-based metal threads were largely used between the 10th and the 15th centuries, in European, Middle Eastern and Far Eastern textile productions for the decoration of textiles and cloths to make a display of wealth, power and status. A total of 94 samples were collected from a corpus of 67 textile fragments belonging to 53 catalogued objects. Proteomics analysis allowed to determine the origin of the animal substrates, which were found to be from bovine membranes (possibly from gastrointestinal organs or bladder) in membrane strips, while in leather strips (possibly made from the corium or grain skin layer of the animals), goat (exclusively in Spanish samples) and sheep (in Middle Eastern/Italian and Far Eastern samples) were identified. Other protein-based components that made the strips were identified and associated to the adhesive binders.
DOI: 10.6084/m9.figshare.23593116
title: simulated.zip

description: Simulated sequencing read output as described in Gimpel et al.
DOI: 10.5519/qd.qws8sl9z
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (272 records)
DOI: 10.6073/pasta/7d43b8da70496cb47a8243d6b28ae0c1
title: 15-minute measurements of water temperature, dissolved carbon dioxide, and air carbon dioxide concentration in 10 New Hampshire and Massachusetts streams, 2015-2020.

description: Water temperature, dissolved carbon dioxide, and air carbon dioxide were measured at 10 streams and rivers in New Hampshire and northeast Massachusetts during snow-free periods (roughly April to November) at 15-minute intervals, from 2015 to 2020. Five sites were part of the New Hampshire EPSCoR High Intensity Aquatic Network, three sites are part of the Plum Island Ecosystems LTER, and two sites are part of long-term monitoring projects of the Oyster River watershed near Durham, NH.
DOI: 10.5281/zenodo.8078106
title: Dataset 3 - Mathematical Modeling of Growth for Climbing Plants

description: This dateset collects some models of climbing plants in the framework of the Task 3.4 of the Growbot project. In particular, it focuses on models describing the climbing plants' secondary growth, emphasizing such a behavior as an optimal way to allocate biomass and maximize climbing plants's reach. The models are described in the following preprints: <em>A 2D Model to describe the mechano-sensory behaviour of self-supporting shoots of climbing plants against gravity </em>(2023), G. Vecchiato; T. Hattermann; M. Palladino; P. Heuret; N. P. Rowe; P. Marcati, <strong>submitted preprint</strong> <em>Searcher-Shoot: a Reinforcement Learning approach to understand climbing plant behaviour</em> (2023), L. Nasti; G. Vecchiato; T. Hattermann; P. Heuret; N. P. Rowe; M. Palladino; P. Marcati, <strong>preprint</strong> <em>An optimal control approach to the problem of the longest self-supporting structure</em> (2023), G. Vecchiato; M. Palladino; P. Marcati, <strong>submitted preprint</strong> <em>Modeling intertwining of growing shoots</em> (2023), O. Giannopoulou; G. Vecchiato; M. Palladino; M. Thielen; T. Speck; P. Marcati, <strong>preprint</strong>
DOI: 10.5281/zenodo.8078105
title: Dataset 3 - Mathematical Modeling of Growth for Climbing Plants

description: This dateset collects some models of climbing plants in the framework of the Task 3.4 of the Growbot project. In particular, it focuses on models describing the climbing plants' secondary growth, emphasizing such a behavior as an optimal way to allocate biomass and maximize climbing plants's reach. The models are described in the following preprints: <em>A 2D Model to describe the mechano-sensory behaviour of self-supporting shoots of climbing plants against gravity </em>(2023), G. Vecchiato; T. Hattermann; M. Palladino; P. Heuret; N. P. Rowe; P. Marcati, <strong>submitted preprint</strong> <em>Searcher-Shoot: a Reinforcement Learning approach to understand climbing plant behaviour</em> (2023), L. Nasti; G. Vecchiato; T. Hattermann; P. Heuret; N. P. Rowe; M. Palladino; P. Marcati, <strong>preprint</strong> <em>An optimal control approach to the problem of the longest self-supporting structure</em> (2023), G. Vecchiato; M. Palladino; P. Marcati, <strong>submitted preprint</strong> <em>Modeling intertwining of growing shoots</em> (2023), O. Giannopoulou; G. Vecchiato; M. Palladino; M. Thielen; T. Speck; P. Marcati, <strong>preprint</strong>
DOI: 10.6073/pasta/ee0c1bdc67aa94a6954e3f4238396230
title: Surface water sample measurements of dissolved carbon dioxide in 10 New Hampshire and Massachusetts streams, 2015-2020.

description: Dissolved carbon dioxide concentration from surface water samples in stream water from 10 stream and river locations in New Hampshire and northeast Massachusetts, from 2015 to 2020. Five sites were part of the New Hampshire EPSCoR High Intensity Aquatic Network, three sites are part of the Plum Island Ecosystems LTER, and two sites are part of long-term monitoring projects of the Oyster River watershed near Durham, NH.
DOI: 10.5519/qd.nn7p8vu7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (43 records)
DOI: 10.6084/m9.figshare.23593143
title: participants

description: Each participant's data. <br> "age" is the age in months. "sex" is 0 for female and 1 for male. "condition" is A for the no violation group, B for the participant who honestly reported that he had turned around, C for the non-exposure group, and D for the exposure group. The values in the phase1 column represent the number of frames at the time of transition to phase1, and the same for the phase2 column. The values in shame, sad, and happy column are corresponded to Facial expression scale. "video" is 0 for missing data due to machine malfunction, etc. and 1 for data available. <br> * <strong>IDs are missing due to the cognitive task conducted with this study, since common IDs were assigned for ease of administration.</strong>
DOI: 10.6084/m9.figshare.23593143.v1
title: participants

description: Each participant's data. <br> "age" is the age in months. "sex" is 0 for female and 1 for male. "condition" is A for the no violation group, B for the participant who honestly reported that he had turned around, C for the non-exposure group, and D for the exposure group. The values in the phase1 column represent the number of frames at the time of transition to phase1, and the same for the phase2 column. The values in shame, sad, and happy column are corresponded to Facial expression scale. "video" is 0 for missing data due to machine malfunction, etc. and 1 for data available. <br> * <strong>IDs are missing due to the cognitive task conducted with this study, since common IDs were assigned for ease of administration.</strong>
DOI: 10.6084/m9.figshare.23552964
title: The raw data of resting EEG of patients with prolonged disorders of consciousness

description: The dataset consists of resting-state electroencephalogram (EEG) data in dat format from 32 healthy individuals and 59 patients with consciousness disorders. Each data segment comprises 60 epochs, with each epoch lasting 2 seconds. There are 62 electrode points, and the sampling rate is 250 Hz.
DOI: 10.5281/zenodo.8091678
title: Searches for ED and COVID-19 from Google Trends

description: <em>Searches for ED and COVID-19 from Google Trends (provided by Google as Relative Search Volumes (RSVs): they are normalized with a minimum value of 0 and a maximum value of 100) and weekly COVID-19 cases from WHO (in absolute numbers) in the four time periods. Please note that in the first time period Google provides search data RSVs monthly, while in the other three periods this is done weekly. Time Period 1: January 1, 2004 to December 31, 2016, Time Period 2: January 1, 2017 to December 31, 2019, Time Period 3: January 1, 2020 to December 31, 2021, Time Period 4: January 1, 2022 to December 31, 2022. </em>
DOI: 10.5281/zenodo.8091677
title: Searches for ED and COVID-19 from Google Trends

description: <em>Searches for ED and COVID-19 from Google Trends (provided by Google as Relative Search Volumes (RSVs): they are normalized with a minimum value of 0 and a maximum value of 100) and weekly COVID-19 cases from WHO (in absolute numbers) in the four time periods. Please note that in the first time period Google provides search data RSVs monthly, while in the other three periods this is done weekly. Time Period 1: January 1, 2004 to December 31, 2016, Time Period 2: January 1, 2017 to December 31, 2019, Time Period 3: January 1, 2020 to December 31, 2021, Time Period 4: January 1, 2022 to December 31, 2022. </em>
DOI: 10.6084/m9.figshare.23593125
title: Admixture and Pong files

description: A zipped file containing results files for ADMXITURE analysis (Alexander et al. 2009) and auxiliary information files for plotting with Pong (Behr et al. 2016). <br> References Alexander, D. H., Novembre, J. & Lange, K. Fast model-based estimation of ancestry in unrelated individuals. <em>Genome Res.</em> <strong>19</strong>, 1655–1664 (2009). Behr, A. A., Liu, K. Z., Liu-Fang, G., Nakka, P. & Ramachandran, S. Pong: Fast analysis and visualization of latent clusters in population genetic data. <em>Bioinformatics</em> <strong>32</strong>, 2817–2823 (2016).
DOI: 10.25345/c56d5pn06
title: MassIVE MSV000092300 - Microbial Bile Acid Metabolism Shapes T Cell Responses During Inflammation
title: Microbial transformation of bile acids (BAs) affects intestinal immune homeostasis but the impact of changes in BA metabolism on T cell-driven pathologies remains largely unknown. Using a mouse model of graft-versus-host disease (GVHD), we found that GVHD decreased the abundance of microbiome-encoded bile salt hydrolase (BSH) genes and reduced the levels of microbiota-dependent unconjugated and secondary BAs (SBAs). Several SBAs attenuated farnesoid X receptor (FXR) activity, posing that loss of SBAs may increase FXR activation and exacerbate inflammation. Mortality in GVHD mice increased with pharmacological activation of FXR and decreased with its genetic ablation in donor T cells. Furthermore, patients with GVHD after allogeneic hematopoietic cell transplantation showed similar loss of BSH and the associated reduction in unconjugated and SBAs. Moreover, the FXR antagonist ursodeoxycholic acid reduced the activation of human T cells and was associated with a reduced risk of GVHD-related mortality in patients. We propose that dysbiosis and loss of SBAs may be an important mechanism to amplify T cell-mediated diseases.
DOI: 10.5281/zenodo.8086643
title: MGD+: An Enhanced Music Genre Dataset with Success-based Networks

description: This dataset is built by using data from Spotify. It provides a daily chart of the 200 most streamed songs for each country and territory it is present, as well as an aggregated global chart. Considering that countries behave differently when it comes to musical tastes, we use chart data from global and regional markets from January 2017 to March 2022 (downloaded from CSV files), considering 68 distinct markets. We also provide information about the hit songs and artists present in the charts, such as all collaborating artists within a song (since the charts only provide the main ones) and their respective genres, which is the core of this work. MGD+ also provides data about musical collaboration, as we build collaboration networks based on artist partnerships in hit songs. Therefore, this dataset contains: <strong>Genre Networks:</strong> Success-based genre collaboration networks <strong>Artist Networks:</strong> Success-based artist collaboration networks <strong>Artists:</strong> Some artist data <strong>Hit Songs:</strong> Hit Song data and features <strong>Charts:</strong> Enhanced data from Spotify Daily Top 200 Charts
DOI: 10.5281/zenodo.8086642
title: MGD+: An Enhanced Music Genre Dataset with Success-based Networks

description: This dataset is built by using data from Spotify. It provides a daily chart of the 200 most streamed songs for each country and territory it is present, as well as an aggregated global chart. Considering that countries behave differently when it comes to musical tastes, we use chart data from global and regional markets from January 2017 to March 2022 (downloaded from CSV files), considering 68 distinct markets. We also provide information about the hit songs and artists present in the charts, such as all collaborating artists within a song (since the charts only provide the main ones) and their respective genres, which is the core of this work. MGD+ also provides data about musical collaboration, as we build collaboration networks based on artist partnerships in hit songs. Therefore, this dataset contains: <strong>Genre Networks:</strong> Success-based genre collaboration networks <strong>Artist Networks:</strong> Success-based artist collaboration networks <strong>Artists:</strong> Some artist data <strong>Hit Songs:</strong> Hit Song data and features <strong>Charts:</strong> Enhanced data from Spotify Daily Top 200 Charts
DOI: 10.7488/ds/7480
title: 2007 forest aboveground biomass map for China

description: This dataset relates to the work presented in the paper Wenquan Dong, Edward T.A. Mitchard, Maurizio Santoro, Man Chen, Charlotte E. Wheeler, 'A new circa 2007 biomass map for China differs significantly from existing maps' (in submission). This dataset is a 50m circa 2007 aboveground biomass (AGB) map for China. We made the aboveground biomass map using the Ice, Cloud, and land Elevation Satellite (ICESAT) Geoscience Laser Altimeter System (GLAS), Advanced Land Observing Satellite (ALOS) Phased Array L-band SAR (PALSAR), Landsat, Environmental Satellite (Envisat) Advanced Synthetic Aperture Radar (ASAR), Shuttle Radar Topography Mission (SRTM) remote sensing data combined with Random Forest regression, implemented in Google Earth Engine.
DOI: 10.6084/m9.figshare.23593203
title: Data for the article "Histological and molecular glioblastoma, IDH-wildtype: A real-world landscape using the 2021 WHO classification of central nervous system tumors" published in Frontiers in Oncology

description: This spreadsheet presents the data for the article "Histological and molecular glioblastoma, IDH-wildtype: A real-world landscape using the 2021 WHO classification of central nervous system tumors" published in Frontiers in Oncology.
DOI: 10.5281/zenodo.6039080
title: [DATASET 2] – BIOINSPIRED ROBOT CONTROL

description: In the framework of GrowBot project, Task 6.1 aims at developing an embedded control for monitoring stimuli. Task 6.2 and task 6.3 aim at developing a bioinspired control algorithm and the robot behavioural architecture. DS2 aims at collecting the data and results gathered during these activities.
DOI: 10.5281/zenodo.6039081
title: [DATASET 2] – BIOINSPIRED ROBOT CONTROL

description: In the framework of GrowBot project, Task 6.1 aims at developing an embedded control for monitoring stimuli. Task 6.2 and task 6.3 aim at developing a bioinspired control algorithm and the robot behavioural architecture. DS2 aims at collecting the data and results gathered during these activities.
DOI: 10.5281/zenodo.8091763
title: [DATASET 2] – BIOINSPIRED ROBOT CONTROL

description: In the framework of GrowBot project, Task 6.1 aims at developing an embedded control for monitoring stimuli. Task 6.2 and task 6.3 aim at developing a bioinspired control algorithm and the robot behavioural architecture. DS2 aims at collecting the data and results gathered during these activities.
DOI: 10.18112/openneuro.ds004408.v1.0.3
title: Invariant encoding of phonemes in neural responses to continuous speech
DOI: 10.6084/m9.figshare.22771040
title: <strong>Endothelial to Mesenchymal Transition in Neonatal Hyperoxic Lung Injury: Role of sex as a biological variable</strong>

description: Gene expression data, Sorting strategy, and description of supplemental data
DOI: 10.6084/m9.figshare.22771040.v1
title: <strong>Endothelial to Mesenchymal Transition in Neonatal Hyperoxic Lung Injury: Role of sex as a biological variable</strong>

description: Gene expression data, Sorting strategy, and description of supplemental data
DOI: 10.34740/kaggle/ds/3126648
title: Internal Medicine and other specialties
DOI: 10.5281/zenodo.16978928
title: GPR and Acoustic surveys done at Dinogetia and Noviodunum Ancient Settlements, October 2021

description: Project: PN 19200501 INVESTIGAȚII GEOFIZICE DE MARE DETALIU PENTRU IDENTIFICAREA, PROTEJAREA ȘI VALORIFICAREA PATRIMONIULUI ARHEOLOGIC SUBMERS, AFLAT SUB IMPACT ANTROPIC, ÎN ZONA CUPRINSĂ ÎNTRE CĂLĂRAȘI ȘI SULINA      Expeditia: octombrie 2021, faza 6

Instrument de achizitie: Sensors and Software LMX200 GPR sistem GPR, 250 MHz, Trimble RTK GNSS R4, Klein System 3000 Side Scan Sonar (Noviodunum and Sulina)   Locatia: Garvan, Isaccea, Sulina, jud. Tuclea

Operator/Responsabil date: Sorin Anghel, soanghel@geoecomar.ro

Sistem de coordonate: Geographic - WGS 84/Stereo70 - Dealul Piscului 1970

Descriere individuala: Identificarea obiectelor ingropate si submerse cu potential arheologic

Software prelucrare: Sensors and Software EKKO Project V.5, Microsoft Excel
DOI: 10.5281/zenodo.16978929
title: GPR and Acoustic surveys done at Dinogetia and Noviodunum Ancient Settlements, October 2021

description: Project: PN 19200501 INVESTIGAȚII GEOFIZICE DE MARE DETALIU PENTRU IDENTIFICAREA, PROTEJAREA ȘI VALORIFICAREA PATRIMONIULUI ARHEOLOGIC SUBMERS, AFLAT SUB IMPACT ANTROPIC, ÎN ZONA CUPRINSĂ ÎNTRE CĂLĂRAȘI ȘI SULINA      Expeditia: octombrie 2021, faza 6

Instrument de achizitie: Sensors and Software LMX200 GPR sistem GPR, 250 MHz, Trimble RTK GNSS R4, Klein System 3000 Side Scan Sonar (Noviodunum and Sulina)   Locatia: Garvan, Isaccea, Sulina, jud. Tuclea

Operator/Responsabil date: Sorin Anghel, soanghel@geoecomar.ro

Sistem de coordonate: Geographic - WGS 84/Stereo70 - Dealul Piscului 1970

Descriere individuala: Identificarea obiectelor ingropate si submerse cu potential arheologic

Software prelucrare: Sensors and Software EKKO Project V.5, Microsoft Excel
DOI: 10.15468/dl.svfe9q
title: Occurrence Download

description: A dataset containing 149956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Alnus"
 ]
}

 The dataset includes 149956 records from 448 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018583-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2vfw3
title: Occurrence Download

description: A dataset containing 11653 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Comastoma tenellum"
 ]
}

 The dataset includes 11653 records from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018607-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.