Al-awar, Rima · Aman, Ahmed · Briggs, Mike · et al.
999 rows × 26 cols · 8.8 MB · pdf, xlsx
26 categorical
hybrid · semantic + lexical · 378 datasets ranked · 7.95s
Al-awar, Rima · Aman, Ahmed · Briggs, Mike · et al.
999 rows × 26 cols · 8.8 MB · pdf, xlsx
26 categorical
Diffuse Intrinsic Pontine Glioma (DIPG) is a rare and aggressive pediatric cancer located in the pons region of the brainstem, classified as a broader class of H3 K27M mutant Diffuse Midline Gliomas (DMG). Traditional drug development models struggle to address rare diseases like DIPG due to small patient populations and high risks. M4K Pharma focuses on developing an ALK2 enzyme inhibitor, the first therapeutic designed specifically for DIPG. We are leveraging highly potent, selective, and drug-like molecules targeting this protein to create a promising therapeutic option for children affected by this devastating disease. The following entries include the PK and DMPK evaluation of ALK2 inhibitor compounds, including M4K2009, M4K2281, and M4K2308, across a series of in vivo mouse studies. The datasets include oral (PO) and intraperitoneal (IP) exposure analyses, dose-escalation studies, formulation comparisons, BBB penetration assessments, tissue distribution measurements, and study protocols outlining dosing regimens, sample collection procedures, and bioanalytical methodologies. In addition, the studies characterize the metabolic conversion of M4K2281 to M4K2308 through N-demethylation and compare the brain exposure profiles of multiple ALK2 inhibitor candidates. Together, this data provides an integrated assessment of systemic exposure, tissue distribution, metabolic stability, and central nervous system penetration to support the selection and optimization of brain-penetrant ALK2 inhibitors for DIPG. The accompanying files also include key pharmacokinetic parameters, including Cmax, area under the curve (AUC), half-life (T½), mean residence time (MRT), dose proportionality analyses, and brain-to-plasma ratio measurements that inform compound progression into IND-enabling development. Table of key terms and definitions of the project. Key Term Definition Pharmacokinetics (PK) The study of how a drug is absorbed, distributed, metabolized, and eliminated over time within the body. Drug Metabolism and Pharmacokinetics (DMPK) The evaluation of a compound's absorption, distribution, metabolism, excretion, and overall exposure to support drug development. Blood-Brain Barrier (BBB) A highly selective barrier that regulates the movement of substances from the bloodstream into the brain and limits drug delivery to CNS tumors. Oral (PO) Administration Delivery of a drug by mouth to achieve systemic absorption and exposure. Intraperitoneal (IP) Administration Administration of a drug into the peritoneal cavity to achieve systemic exposure in animal studies. M4K2009 Lead orally bioavailable ALK2 inhibitor selected for development due to its favourable exposure and brain penetration properties. M4K2281 ALK2 inhibitor precursor compound that undergoes metabolic N-demethylation to form M4K2308. M4K2308 Brain-penetrant ALK2 inhibitor metabolite that demonstrates improved CNS exposure and favourable brain-to-plasma ratios. N-demethylation A metabolic process that removes a methyl group from a molecule, converting M4K2281 into M4K2308. Brain-to-Plasma Ratio A metric used to quantify CNS penetration by comparing drug concentrations in brain tissue relative to plasma concentrations. Dose Proportionality The relationship between dose and systemic exposure, where exposure increases proportionally as dose increases. Tissue Distribution The extent to which a compound is distributed into specific tissues, including brain and skeletal muscle. LC-MS/MS Liquid chromatography-tandem mass spectrometry; an analytical technique used to quantify drug concentrations in biological samples.
Riquelme, Cristian
176 rows × 78 cols · 70 KB · xlsx
68 categorical · 6 numeric · 3 text · 1 datetime
Mycotheca ( MYCL ) is an independent fungarium created to provide fungal specimens and open data to the scientific community. It emerged from the need to document and preserve Chilean funga but also to guarantee access to the information generated in the process. Each record in the database follows the guidelines of the Darwin Core standard in line with the FAIR principles . This project is not affiliated with any government or academic institution and is funded entirely by voluntary contributions from Patreon members.
Weiss-Tessbach, Matthias
29 rows × 1 cols · 71 KB · xlsx
1 categorical
Recombinant human diamine oxidase prevents hemodynamic effects of continuous histamine infusion in guinea pigs Author: Weiss-Tessbach, Matthias (Contact person) Department of Clinical Pharmacology, Medical University of Vienna, Austria Description Data from : Recombinant human diamine oxidase prevents hemodynamic effects of continuous histamine infusion in guinea pigs Related publication: Inflammation Research (2023), DOI: 10.1007/s00011-023-01783-3 Description of the data and file structure Experimental data from 38 female Dunkin-Hartley guinea pigs studied in an anaesthetised, continuous intravenous histamine-infusion model of histamine-induced shock, testing whether recombinant human diamine oxidase with a mutated heparin-binding motif (rhDAO_mHBM) prevents histamine-induced haemodynamic effects. The study comprised rhDAO pharmacokinetics (2 mg/kg), endogenous diamine oxidase release after heparin, histamine dose-finding, a main experiment at 8 µg/kg/min histamine with buffer / rhDAO 2 mg/kg / rhDAO 4 mg/kg, and urinary metabolite measurements. Data are in tidy (long) format: one measurement per row. time_min is minutes from the start of the histamine infusion (0 = start); in the main experiment histamine was infused from 10 to 40 min. An empty cell means not measured. Units are given in each column header. Files and variables File : GP_rhDAO_histamine_dataset_FWF_P36105.xlsx Description : A single Excel workbook containing a README sheet, an Animals metadata sheet, six measurement sheets, and a Figure_map sheet linking each sheet to the corresponding published figure. Variables Sheet: Animals - GP_ID - animal identifier (GP1-GP42) - sex - female - strain - Dunkin-Hartley - body_weight_g - body weight in g - experiment_role - role in the study (heparin, method/urine, dose-finding, PK/pilot, pilot, main, cohort) - treatment_group - treatment received (buffer, rhDAO 2 mg/kg, rhDAO 4 mg/kg, NaCl, histamine only, etc.) - histamine_dose_ug_kg_min - histamine infusion rate in µg/kg/min (a range for dose-finding animals) - rhDAO_dose_mg_kg - rhDAO dose in mg/kg, if given - in_publication - whether the animal contributes to a published figure (Yes/No) - figures - figures in which the animal appears - notes - fate / experimental notes Sheet: Hemodynamics - GP_ID - animal identifier - treatment_group - treatment received - phase - experiment phase (main, dose-finding, pilot, rhDAO PK) - time_min - minutes from start of histamine infusion (0 = start) - HR_bpm - heart rate in beats/min - MAP_mmHg - mean arterial pressure in mmHg - body_temp_C - core body temperature in °C Sheet: Plasma_histamine - GP_ID - animal identifier - treatment_group - treatment received - time_min - minutes from infusion start - histamine_ng_mL - plasma histamine in ng/mL - assay - assay method (Immunotech immunoassay; main experiment) Sheet: Plasma_rhDAO - GP_ID - animal identifier - treatment_group - treatment received - phase - Fig 1a PK or Fig 3c main experiment - time_min - minutes from infusion start - rhDAO_ug_mL - plasma recombinant human diamine oxidase in µg/mL - assay - DAO antigen ELISA Sheet: Endogenous_DAO_heparin - GP_ID - animal identifier (GP1-GP4) - time_min - 0 = baseline; 5 = 5 min after 500 IU/kg heparin i.v. - DAO_activity_ng_mL - endogenous diamine oxidase in ng/mL - note - sampling context Sheet: Blood_gas - GP_ID - animal identifier - treatment_group - treatment received - time_min - 0 or 60 min - lactate_mmol_L - arterial lactate in mmol/L - pO2_mmHg - arterial oxygen partial pressure in mmHg - pCO2_mmHg - arterial carbon dioxide partial pressure in mmHg Sheet: Urine - GP_ID - animal identifier - group - group annotation from the source records - time_min - collection time in min - creatinine_mg_dL - urinary creatinine in mg/dL - histamine_ng_mL - urinary histamine in ng/mL - methylhistamine_ng_mL - urinary 1-methylhistamine in ng/mL - His_per_Krea - histamine / creatinine ratio - MHis_per_Krea - 1-methylhistamine / creatinine ratio Sheet: Figure_map - figure - published figure - description - what the figure shows - animals - animals included - sheet - sheet (and filter) that reproduces the figure Abbreviations: rhDAO = recombinant human diamine oxidase; DAO = diamine oxidase; MAP = mean arterial pressure; HR = heart rate; His = histamine; 1-MH/MHis = 1-methylhistamine; Krea = creatinine; EIA/ELISA = enzyme immunoassay; HTRF = homogeneous time-resolved fluorescence; i.v./i.a. = intravenous/intra-arterial. Note on assays: main-experiment plasma histamine (GP21-32) was measured by the Immunotech immunoassay; dose-finding/pilot plasma histamine was measured by Cisbio HTRF, so absolute values between methods are not directly comparable. Urinary metabolites were measured using LC-MS/MS. Code/software Data can be opened in Microsoft Excel or LibreOffice Calc, or imported into R or Python (e.g., readxl, pandas/openpyxl). Animal welfare and ethics All animal procedures were approved by the Austrian Federal Ministry of Education, Science and Research (BMBWF) and performed at the Division of Biomedical Research, Medical University of Vienna, under animal protocol GZ 2021-0.209.778. The study used 38 female Dunkin-Hartley guinea pigs. Funding: Austrian Science Fund (FWF), award P36105 (Hertha-Firnberg programme T1135).
Athalla, Ahmad Raffi · Amanullah, Rifqy Halim · Syuhada, Naufal Zaky Fathin
8 rows × 5 cols · 9.3 KB · xlsx
5 categorical
This dataset contains the results of information exposure identification conducted on public SMA, SMK, and MA school websites in Malang City, Indonesia. The data were collected using Google Dorking techniques as part of an Open Source Intelligence (OSINT) approach. The dataset includes information about website samples, detected information exposure categories, and risk classifications. Sensitive information has been anonymized to ensure privacy and ethical compliance.
Wang, Xi · Qi, Jing
7,237 rows × 12 cols · 486 KB · xlsx
8 numeric · 2 text · 2 categorical
This dataset was collected to investigate the multi-omic mechanisms underlying photosynthesis-driven interactions within the phycosphere, specifically focusing on how these interactions regulate and enhance bacterial extracellular superoxide production under carbon-starvation conditions. Experimental efforts involved co-culturing the cyanobacterium Microcystis aeruginosa and the heterotrophic bacterium Pseudomonas sp. QJX-1 under controlled illumination and carbon-limiting states. Chronological time-course sampling was executed to capture prokaryotic transcriptomic shifts (RNA-seq at 48h and 108h) and untargeted exometabolomic footprints (LC-MS at 48h, 72h, and 108h) to establish the molecular and chemical profiles driving phycosphere microscale redox coupling.
Morales Trujillo, Letícia · Navarro Pando, José Manuel · García García, Julián Alberto · et al.
7 rows × 6 cols · 76 KB · xlsx
5 numeric · 1 categorical
This record contains the dataset associated with the systematic literature review titled "Image-Based Artificial Intelligence for Embryo Quality and Viability Assessment in Assisted Reproduction". The dataset includes the processed study records and the classification data used to answer the research questions. The files provided in this record are: (1) SLR_205_Processed_Articles.xlsx, containing the processed articles included in the review workflow; (2) SLR_RQ_Counts.xlsx, containing the counts and classifications associated with the research questions; and (3) README.txt, describing the repository contents and the search strategy applied in the consulted digital libraries. Searches were conducted in Scopus, IEEE Xplore, ScienceDirect, and ACM Digital Library using terms related to image analysis, artificial intelligence, and assisted reproductive technology. This dataset is shared to promote transparency, traceability, and reproducibility of the review process. All attached files can be viewed and downloaded directly from this Zenodo record: https://doi.org/10.5281/zenodo.19235464.
Lopez, Annalaura · Greco, Margherita · Marcolli, Beatrice · et al.
4 files · 17 KB · docx, xlsx
This dataset originates from a study aiming to valorise Ciuta sheep, a local breed native from the Italian Central Alps, through the characterization of nutritional quality and chemical composition of fresh meat (loins) and one traditional dry-cured product. Specifically, the research focused on determining the chemical composition of Ciuta sheep meat and on identifying key changes in its chemical profile during dry curing process, hypothesizing that such chemical fingerprint may suggest some markers linked to the production system, geographical origin, and traditional processing techniques. For this reason, for bthe dry-cured product, both an aliquot of fresh meat before and after transformation and dry-curing was sampled and analysed. Regarding loins, three commercial categories (lambs, hoggets and mutton) were considered, in order to define any possible difference induced by age of the sheep (and physiological factors, such as rumen development). The dataset includes chemical data regarding the proximate composition (moisture, protein, fat, ash, salt content for the dry-cured product) and energy content of fresh and dry-cured meat; the fatty acids content of fresh and dry-cured meat product; the volatile profile of fresh and dry-cured meat product. Results from analysis performed in our study suggested that the development of high-quality dry-cured products could provide a strategy to valorise Ciuta sheep meat, especially from adult animals (culled ewes and rams), while fresh meat production could focus on lambs. The complex volatile profile detected was influenced by both the farming system and traditional processing methods.
Suwarno · Akun, Andreas
2 files · 295 KB · pdf, xlsx
File ini merupakan data mentah ( raw data ) ekspor dari database Scopus yang digunakan untuk melakukan pemetaan, analisis bibliometrik, atau Tinjauan Literatur Sistematis (SLR) mengenai tren riset di bidang Digital Humanities.
Zhang, Song · Wang, Xiaoyu · Zhang, Jiayi · et al.
17 files · 1.4 MB · csv, xlsx, zip
This dataset contains raw and processed data underlying the study on Vibrio-phage interactions, including genome sequences, CRISPR arrays, spacer-protospacer mappings, defense system annotations, phylogenetic analyses, and structural modeling outputs. It also includes scripts used for analysis and figure generation. All raw sequencing reads are deposited in NCBI SRA and genome accession numbers are provided in Supplementary files.
Devi, Monika · Nesterovschi, Ion · Riedesel, Svenja · et al.
253 rows × 6 cols · 22 KB · xlsx
6 numeric
In this study, Radioluminescence (RL), Raman and Fourier Transform Infrared (FTIR) spectroscopy analyses were used to investigate the relationship between structural disorder and self-trapped exciton (STE) luminescence in natural quartz grains measured over a temperature range of 8-300 K. The investigated samples originate from diverse geological settings with crystallisation ages spanning from Ma to Ga and include two granites, one metamorphosed granite and two sedimentary samples. The RL spectra exhibit a dominant blue emission band centred at ~2.6 eV, attributed to STE emission, which disappears at higher temperatures (> 200 K). Analysis of RL intensity as a function of temperature (50-150 K) using an Arrhenius model yields quenching energies in the range of 22-46 meV. The variation of full width at half maximum (FWHM) with temperature was modelled to estimate phonon energies, which ranged from ~10 to 47 meV. Raman spectroscopy reveals systematic shifts and broadening of the 127 cm -1 and 203 cm -1 bands, indicating variations in lattice strain and structural disorder. FTIR measurements further demonstrate progressive changes in the structural organisation of the Si-O-Si framework through variations in structural order index derived from the 778 cm -1 and 692 cm -1 vibrational bands. Well-ordered natural quartz samples exhibited higher quenching and phonon energies, narrow RL, Raman and FTIR bands and higher FTIR structural order indexes, indicating more stable STEs than the structurally disordered natural quartz samples. Compared to synthetic quartz reported in the literature, natural quartz samples exhibit broader RL emission bands, lower quenching energies and earlier thermal quenching, reflecting a higher degree of structural disorder and defect concentration. The combined RL, Raman, and FTIR results demonstrate that STE emission in natural quartz is strongly controlled by lattice disorder and geological history, confirming the critical role of exciton-phonon interactions in determining STE luminescence behaviour.
Pérez-Mejías, Carlos · Moreno, Ana
74 rows × 22 cols · 44 KB · xlsx
16 categorical · 6 text
This dataset contains data from three stalagmites: HOR (Ejulve cave) and MO-1 and MO-7 from Molinos cave. New speleothem records from northeastern Iberian caves provide data to explore the climatic patterns during the Holocene. We present δ 13 C and Mg/Ca from three speleothems from two different caves located in the Iberian Range allowing replication of the climatic signal for several millennia. Through the integration of those stalagmites covering since the Holocene onset to 2 ka, the early Holocene (11.7-8.5 ka) appears as the wettest interval. A marked change towards aridity is observed during the middle Holocene (8.5-4.8 ka) and an increase of humidity afterwards (4.8-2 ka). This three-part pattern, contrasting with other Iberian sequences, seems to be associated with the different role that seasonality has played in the response of different proxies (or records) to changes in water availability. Interpreting our speleothem records as changes in winter-spring precipitation along the Holocene allows reconciling previous data on hydrological variability from the western Mediterranean borderlands.
Beghini, Marianna · Scherer, Thomas
110 rows × 6 cols · 98 KB · xlsx
3 text · 3 categorical
This file contains all data used for the analyses and figures presented in this publication
Carmichael, Alexander Frederick Bethune · Boerlage, Annette S.
14 rows × 2 cols · 17 KB · xlsx
2 categorical
This example dataset accompanies the decision support tool "Salmon Mortality Monitor"
XIN, Mengni
9 rows × 9 cols · 27 KB · xlsx
7 numeric · 2 categorical
Supplementary materials for the article "Who Writes about Brazil-China? Epistemic Sovereignty and South-South Knowledge Asymmetries in Global International Relations". The files include the source-specific search strategy, discourse-analysis sample metadata, processed figure data, coding scheme, and aggregate counts supporting the bibliometric mapping and discourse analysis.
Alago, Doris · Alt, Rainer · OBUBA, ROBERT
31 rows × 12 cols · 18 KB · xlsx
12 categorical
The dataset presents raw data used to perform analysis and report the findings on the use of digital platforms for student career management
Habr, Jiří · Novák, Jan · Behalek, Lubos · et al.
30 rows × 11 cols · 1.5 MB · csv, xlsx
11 categorical
Dataset projektu TAČR SS07020411 "Efektivní využití plastového odpadu v automobilovém průmyslu".
Balcı, Meriç
31 rows × 18 cols · 13 KB · xlsx
18 categorical
This dataset contains the raw experimental data underlying the manuscript entitled "Lead-Induced Nutrient Imbalance and Biochar-Mediated Nutrient Homeostasis Responses in Purslane (Portulaca oleracea L.)". The dataset includes replicate-level measurements of plant growth parameters, shoot Pb concentration, and macro- and micronutrient concentrations under different lead and biochar treatments.
Małek, Dariusz · Czarnoleski, Marcin · Brudny, Małgorzata · et al.
6 rows × 2 cols · 22 KB · xlsx
2 categorical
Raw data - survival monitoring of male C. maculatus beetles after exposure to 5L/min flow of either Synthetic air or CO2 for 8,12,18 or 27 minutes
Blumenthal, Margo
6 rows × 7 cols · 242 KB · xlsx
7 categorical
This dataset accompanies the bachelor thesis: Changing Discourse: A Political-Linguistic Analysis of Official EU-Australia Communications Before and After the implementation of the Framework Agreement in 2022.
OSMI Working Group 2: Understanding the open science monitoring landscape · Szybisty, Tereza · Yahia Mohamed Elkheir, Lamis
819 rows × 35 cols · 159 KB · xlsx
27 categorical · 8 text
This dataset contains a community-curated inventory of Open Science monitoring initiatives compiled by Working Group 2 (WG2) of the Open Science Monitoring Initiative (OSMI). The dataset aims to provide a structured overview of initiatives that monitor and evaluate the implementation, uptake, and impact of Open Science across different geographical regions, disciplines, and organisational contexts. The Open Science monitoring initiative, following the OSMI definition, is defined as an initiative that: Publicly and regularly monitors and evaluates trends or impacts related to open science policies, mechanisms, interventions, and/or incentives; May use quantitative, qualitative, or mixed-methods approaches; Monitors the degree of openness of scientific processes and outputs such as publications, software, or research data, and ideally also covers other pillars of Open Science (e.g. citizen science, economic or societal impact), across multiple stages of the research cycle. The first version of this dataset was created collaboratively by members of OSMI Working Group 2, who identified, consolidated, and described Open Science monitoring initiatives based on their expertise and knowledge of the global landscape. Following this initial compilation, the dataset was opened for public consultation, inviting the wider Open Science community to review the inventory, suggest additional initiatives, and propose corrections or improvements. We are grateful to everyone who contributed their time and expertise during this consultation, helping to make the dataset more comprehensive and representative. The dataset is intended to be a living resource and will continue to evolve as the Open Science monitoring landscape develops. Future versions will incorporate newly identified initiatives, metadata updates, and community feedback. We welcome suggestions for additional monitoring initiatives or improvements to existing records. If you would like to contribute, please contact the OSMI Working Group 2 co-chairs. Contact information is available on the OSMI website. For more information about the methodology and the activities of Working Group 2, see: WG2. Understanding the open science monitoring landscape - Open science monitoring initiative - OSMI