cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.2z34tmpx5
title: Preference-based assistance optimization for lifting and lowering with a soft back exosuit

description: Wearable robotic devices have become increasingly prevalent in both
 occupational and rehabilitative settings, yet their widespread adoption
 remains inhibited by usability barriers related to comfort, restriction,
 and noticeable functional benefits. Acknowledging the importance of user
 perception in this context, this study explores preference-based
 controller optimization for a back exosuit that assists lifting.
 Considering the high mental and metabolic effort discrete motor tasks
 impose, we used a forced-choice Bayesian Optimization approach that
 promotes sampling efficiency by leveraging domain knowledge about just
 noticeable differences between assistance settings. Optimizing over two
 control parameters, preferred settings were consistent within and uniquely
 different between participants. We discovered that overall, participants
 preferred asymmetric parameter configurations with more lifting than
 lowering assistance, and that preferences were sensitive to user
 anthropometrics. These findings highlight the potential of perceptually
 guided assistance optimization for wearable robotic devices, marking a
 step towards more pervasive adoption of these systems in the real-world.
description: # Preference-based assistance optimization for lifting and lowering with a
 soft back exosuit
 [https://doi.org/10.5061/dryad.2z34tmpx5](https://doi.org/10.5061/dryad.2z34tmpx5) ## Description of the data and file structure This dataset comprises 3 zip files. One file each for the experiment to estimate a lowering gain/lifting gain (LOG/LIG) just noticeable difference (JND), respectively and one for the data of the main preference-based controller optimization experiment. The JND experiments contain a csv file with the data for all subjects. The csv file contains 8 columns (all parameters are unitless), namely: 1. Subject ID 2. F1: LOG or LIG Option 1 3. F2: LOG or LIG Option 2 4. FB: User Feedback. 0/1 = Option 1/2 perceived as larger 5. Block: Experiment Block 6. LOG/LIG: The other control parameter which was held constant within a block 7. gd: Gain difference, i.e., the difference between F1 and F2 8. correct: Did subject correctly perceive the larger option as larger The preference-based optimization experiment comprises separate csv files for each subject and experiment block. In addition, for each subject and block there exists a file ending in "Options.csv", which contains the LOG/LIG pairs for each iteration and a file ending in "Feedback.csv" which contains the user feedback. More specifically, the Feedback.csv file has 12 rows (one for each iteration) and two columns. The numbers in the first column indicate which row in Options.csv was preferred and the numbers in the second column indicate the row index of the non-preferred option in that iteration. ### Files and variables #### File: LIG-JND-Dataset.zip **Description:** Lifting gain JND dataset #### File: LOG-JND-Dataset.zip **Description:** Lowering gain JND dataset #### File: Preference-Dataset.zip **Description:** Preference dataset
DOI: 10.15468/dl.655q3d
title: Occurrence Download

description: A dataset containing 699488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is one of (Spodoptera frugiperda, Busseola fusca, Chilo partellus, Sesamia calamistis, Heteronychus arator, Schistocerca gregaria, Prostephanus truncatus, Agrotis ipsilon, Rhopalosiphum maidis, Helicoverpa armigera, Cicadulina mbila, Macrotermes herus, Odontotermes badius, Ploceus cucullatus, Sitophilus zeamais, Maize chlorotic mottle virus, Sugarcane mosaic virus, Maize dwarf mosaic virus, Ustilago maydis, Sphacelotheca reiliana, Exserohilum turcicum, Cercospora zeae-maydis, Puccinia sorghi, Peronosclerospora sorghi, Bipolaris maydis, Fusarium verticillioides, Fusarium proliferatum, Aspergillus flavus, Aspergillus parasiticus, Stenocarpella maydis, Striga hermonthica, Digitaria abyssinica scalarum, Oxalis latifolia, Cenchrus ciliaris, Cyperus rotundus, Commelina benghalensis, Cynodon nlemfuensis, Bidens pilosa, Galinsoga parviflora, Amaranthus hybridus, Pennisetum clandestinum)",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 699488 records from 2625 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004130-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30892772
title: Addressing nonspecific interactions in a Gyrolab anti-drug antibody (ADA) assay: a case study on method optimization to improve repeatability

description: Anti-drug antibodies (ADAs) can impact drug efficacy and safety, necessitating sensitive and drug-tolerant assays for accurate detection. The main goal of the study was re-optimization of the Gyrolab immunoassay intended to detect ADAs against MabionCD20 (rituximab biosimilar) in rheumatoid arthritis patient serum. The study focused on eliminating a nonspecific interaction that impacted assay repeatability. The nonspecific interactions were mitigated by evaluating numerous method modification strategies including additional washing steps, increasing buffer ionic strength, and step-by-step modification of the assay protocol to isolate the one responsible for the observed issue. Reducing molarity and increasing pH of neutralization buffer resulted in elimination of unwanted interactions between assay components and effectively improved assay performance in repeatability and drug tolerance parameters, supporting the assay’s suitability for validation. Careful optimization of assay conditions, particularly buffer composition and pH successfully resolved issues related to the nonspecific interactions and enhanced assay robustness. Optimized Gyrolab-based immunoassay provided a reliable method for ADA detection, supporting immunogenicity assessment in a clinical development program.
DOI: 10.6084/m9.figshare.30892772.v1
title: Addressing nonspecific interactions in a Gyrolab anti-drug antibody (ADA) assay: a case study on method optimization to improve repeatability

description: Anti-drug antibodies (ADAs) can impact drug efficacy and safety, necessitating sensitive and drug-tolerant assays for accurate detection. The main goal of the study was re-optimization of the Gyrolab immunoassay intended to detect ADAs against MabionCD20 (rituximab biosimilar) in rheumatoid arthritis patient serum. The study focused on eliminating a nonspecific interaction that impacted assay repeatability. The nonspecific interactions were mitigated by evaluating numerous method modification strategies including additional washing steps, increasing buffer ionic strength, and step-by-step modification of the assay protocol to isolate the one responsible for the observed issue. Reducing molarity and increasing pH of neutralization buffer resulted in elimination of unwanted interactions between assay components and effectively improved assay performance in repeatability and drug tolerance parameters, supporting the assay’s suitability for validation. Careful optimization of assay conditions, particularly buffer composition and pH successfully resolved issues related to the nonspecific interactions and enhanced assay robustness. Optimized Gyrolab-based immunoassay provided a reliable method for ADA detection, supporting immunogenicity assessment in a clinical development program.
DOI: 10.6084/m9.figshare.30970890
title: Harnessing artificial intelligence and machine learning to accelerate structure-based drug discovery for tuberculosis

description: Harnessing artificial intelligence and machine learning to accelerate structure-based drug discovery for tuberculosis
DOI: 10.6084/m9.figshare.30970890.v1
title: Harnessing artificial intelligence and machine learning to accelerate structure-based drug discovery for tuberculosis

description: Harnessing artificial intelligence and machine learning to accelerate structure-based drug discovery for tuberculosis
DOI: 10.6084/m9.figshare.31123114
title: α-Aminophosphonate and oxazaphosphinane compounds as potential cancer inhibitors: <i>in vitro</i> evaluation and computational studies

description: In this study, α-aminophosphonates and oxazaphosphinanes were synthesized and evaluated for their potential anticancer activity. The objective was to assess their cytotoxic effects against various cancer cell lines and to investigate their molecular interactions with cancer-related targets. The synthesized compounds were tested in vitro against four human cancer cell lines: HCT116 (colon), A549 (lung), PC3 (prostate), and MCF-7 (breast). Cytotoxicity was assessed through IC<sub>5</sub><sub>0</sub> determination. Molecular docking was performed on cyclin-dependent kinase 2 (CDK2) and anaplastic lymphoma kinase (ALK), followed by 300 ns molecular dynamics (MD) simulations for the most active compounds. Density functional theory (DFT) calculations were conducted to analyze electronic properties and reactive functional sites. Most compounds showed moderate to good anticancer activity, with IC<sub>5</sub><sub>0</sub> values ranging from 28.8 to 242.0 µM. Docking studies revealed strong binding affinities toward ALK (−6.23 to −8.46 kcal/mol) and CDK2 (−6.60 to −8.14 kcal/mol). Compounds 9b and 10c demonstrated the most favorable activity, exhibiting stable interactions in MD simulations and distinct electronic profiles in DFT analyses. The integrated experimental and computational results identify compounds 9b and 10c as promising lead candidates for further development as potential anticancer agents.
DOI: 10.6084/m9.figshare.31123114.v1
title: α-Aminophosphonate and oxazaphosphinane compounds as potential cancer inhibitors: <i>in vitro</i> evaluation and computational studies

description: In this study, α-aminophosphonates and oxazaphosphinanes were synthesized and evaluated for their potential anticancer activity. The objective was to assess their cytotoxic effects against various cancer cell lines and to investigate their molecular interactions with cancer-related targets. The synthesized compounds were tested in vitro against four human cancer cell lines: HCT116 (colon), A549 (lung), PC3 (prostate), and MCF-7 (breast). Cytotoxicity was assessed through IC<sub>5</sub><sub>0</sub> determination. Molecular docking was performed on cyclin-dependent kinase 2 (CDK2) and anaplastic lymphoma kinase (ALK), followed by 300 ns molecular dynamics (MD) simulations for the most active compounds. Density functional theory (DFT) calculations were conducted to analyze electronic properties and reactive functional sites. Most compounds showed moderate to good anticancer activity, with IC<sub>5</sub><sub>0</sub> values ranging from 28.8 to 242.0 µM. Docking studies revealed strong binding affinities toward ALK (−6.23 to −8.46 kcal/mol) and CDK2 (−6.60 to −8.14 kcal/mol). Compounds 9b and 10c demonstrated the most favorable activity, exhibiting stable interactions in MD simulations and distinct electronic profiles in DFT analyses. The integrated experimental and computational results identify compounds 9b and 10c as promising lead candidates for further development as potential anticancer agents.
DOI: 10.15468/dl.7nuwcr
title: Occurrence Download

description: A dataset containing 6867563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mareca strepera"
 ]
}

 The dataset includes 6867563 records from 1644 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006523-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3yravg
title: Occurrence Download

description: A dataset containing 66724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ciconia nigra)",
 "Year is one of (2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024)",
 "DecimalLatitude is greater than or equal to 44.95782311925129",
 "DecimalLatitude is less than or equal to 58.30331634439415",
 "DecimalLongitude is greater than or equal to -10.001896207643075",
 "DecimalLongitude is less than or equal to 30.31691447027875",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "Year is not null",
 "HasCoordinate is TRUE",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)"
 ]
}

 The dataset includes 66724 records from 502 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049722-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxavd4
title: Occurrence Download

description: A dataset containing 44689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potentilla crantzii (Crantz) Beck ex Fritsch",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 44689 records from 325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001830-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7t9u7
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spilogale pygmaea Thomas, 1898"
 ]
}

 The dataset includes 190 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017113-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khmn4e
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spilogale pygmaea Thomas, 1898"
 ]
}

 The dataset includes 190 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017115-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rja5zp
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia petelotii (Merr.) Sealy"
 ]
}

 The dataset includes 140 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017116-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8126636
title: Basic Functions of the Numerical Structure of Scientific Data

description: Thematic meanings of numerical definitions of subject data in various fields of science lead to manipulation of digital codes of known physical, chemical, biological, genetic and other quantities. In principle, each scientific justification contains, to one degree or another, a quantitative, qualitative characteristic of comparison or content. Thus, the language of natural numbers, like mathematical operations, can be accompanied by any definition in any terminology. In this text, the author does not use well-known terms related to the main scientific areas. In this text, the numbers speak for themselves. Any combination of orders or compositions of complex numerical structures presented in this text has its own logical meaning. Any paradox of numerical combinations is an algorithm of real values of numbers.
description: According to the terms of the assignment, the author does not use questionable terminology and experimental data, popular scientific concepts, figures and their results, controversial definitions in various aspects of this topic.
DOI: 10.5281/zenodo.8126637
title: Basic Functions of the Numerical Structure of Scientific Data

description: Тематические значения числовых определений предметных данных в различных областях науки приводят к манипулированию цифровыми кодами известных физических, химических, биологических, генетических и других величин. В принципе каждое научное обоснование содержит в той или иной степени количественную, качественную характеристику сравнения или содержания. Таким образом, язык натуральных чисел, как и математические операции, может сопровождаться любым определением в любой терминологии. В данном тексте автор не использует общеизвестные термины, относящиеся к основным научным направлениям. В этом тексте цифры говорят сами за себя. Любая комбинация порядков или составов сложных числовых структур, представленных в этом тексте, имеет свое логическое значение. Любой парадокс числовых комбинаций является алгоритмом действительных значений чисел.
description: According to the condition of the assignment, the author does not use dubious terminology and experimental data, popular research concepts, numbers and their results of controversial definitions in various aspects of this topic.
DOI: 10.5281/zenodo.8137903
title: Basic Functions of the Numerical Structure of Scientific Data

description: Thematic meanings of numerical definitions of subject data in various fields of science lead to manipulation of digital codes of known physical, chemical, biological, genetic and other quantities. In principle, each scientific justification contains, to one degree or another, a quantitative, qualitative characteristic of comparison or content. Thus, the language of natural numbers, like mathematical operations, can be accompanied by any definition in any terminology. In this text, the author does not use well-known terms related to the main scientific areas. In this text, the numbers speak for themselves. Any combination of orders or compositions of complex numerical structures presented in this text has its own logical meaning. Any paradox of numerical combinations is an algorithm of real values of numbers.
description: According to the terms of the assignment, the author does not use questionable terminology and experimental data, popular scientific concepts, figures and their results, controversial definitions in various aspects of this topic.
DOI: 10.15468/dl.syjnrf
title: Occurrence Download

description: A dataset containing 43622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Nocardioides Prauser, 1976"
 ]
}

 The dataset includes 43622 records from 475 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017114-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48579/pro/1iev6h
title: Shapefile de la Zone Atelier Alpes

description: La liste des fichiers pour la carte de la ZAA se compose des éléments suivants : *Les couches SIG des sites des différents dispositifs sentinelles à jour (2022, 2023 ou 2024) : -Refuges Sentinelles, -Lacs Sentinelles, -ORCHAMP, -Alpages Sentinelles -et Flore Sentinelle. ATTENTION : les suivis réalisés dans le cadre de Flore Sentinelle adoptent différentes approches et protocoles. Il a été décidé de ne faire figurer qu'un exemple de suivis réalisés par Flore Sentinelle qui adopte une approche "écosystèmes" afin que ce soit comparable avec les sites de suivis des autres dispositifs sentinelles. L'exemple choisi est donc celui du suivi des combes à neige et des espèces patrimoniales associées. Ces sites apparaissent sous forme de points sur la carte. * Les couches SIG représentant le périmètre du projet de plateforme LTSER Lautaret-Oisans (périmètre circulaire flou avec enveloppe sous forme de pointillés par exemple) et de son "master site" Lautaret-Galibier (périmètre précis). Ces éléments figureront sur la carte sous forme de polygones. * La couche SIG du périmètre de la ZAA (= massif alpin français au sens de la convention alpine) récupérée sur DEIMS
DOI: 10.5281/zenodo.15581722
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603f Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250603f Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15581723
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603f Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250603f Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15320900
title: A Comparison of Mobile Laser Scanning Data Acquisition Methods in Closed Forest, Woodland, and Alpine Ecosystems

description: This repository contains the .laz files associated with the unpublished study: “Tiede, J, Reinke, K, Jones, S & Nguyen T 2025, ‘A Comparison of Mobile Laser Scanning Data Acquisition Methods in Closed Forest, Woodland, and Alpine Ecosystems’, Remote Sensing in Ecology and Conservation”

 

Use of these datasets should cite the paper above. 

 

Data capture was completed using a Hovermap Mobile Laser scanner in backpack configuration. The Hovermap MLS uses a time-of-flight VLP-16 Lite LiDAR sensor with a vertical and horizontal beam divergence of 1.5 mrad and 3.0 mrad respectively, a maximum operating range of 100 m, and an absolute accuracy of +/- 30 mm.

 

Data was collected from three locations in south-east Australia: Strathbogie State Forest, Warrandyte National Park, and the summit of Mount Baw Baw. 

 

Data collection occurred between March and May 2024. 

 

Each .laz file contains the point cloud data for a single scan. Repeat surveys were completed in each study plot resulting in 5 .laz files per study plot.
DOI: 10.15468/dl.jt2thm
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Nepal",
 "OccurrenceStatus is Present",
 "TaxonKey is Mangifera L.",
 "Year 1980-2025"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017117-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15549408
title: Mineral compositional maps of the lunar polar regions derived from the Moon Mineralogy Mapper data (Version 1)

description: This mineral maps are derived from M3 hyperspectral data, which is calibrated by using LOLA reflectance data as a reference. The dataset includes abundance maps of four minerals, including plagioclase, olivine, high-calcium and low-calcium pyroxene, with a spatial resolution of 193 m/pixel approximately.

More details will be found in our paper.
DOI: 10.5281/zenodo.15549409
title: Mineral Maps in 83°-90°S lunar region
DOI: 10.15468/dl.mw6777
title: Occurrence Download

description: A dataset containing 43622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Nocardioides Prauser, 1976"
 ]
}

 The dataset includes 43622 records from 475 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017118-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.