cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25402/nnm.21953099.v1
title: Intraductal delivery of nanocarriers for ductal carcinoma in situ treatment: a strategy to enhance localized delivery - Supplementary tables

description: Ductal carcinoma in situ describes the most commonly occurring, noninvasive malignant breast disease,
which could be the leading factor in invasive breast cancer. Despite remarkable advancements in
treatment options, poor specificity, low bioavailability and dose-induced toxicity of chemotherapy are
the main constraint. A unique characteristic of nanocarriers may overcome these problems. Moreover,
the intraductal route of administration serves as an alternative approach. The direct nanodrug delivery
into mammary ducts results in the accumulation of anticancer agents at targeted tissue for a prolonged
period with high permeability, significantly decreasing the tumor size and improving the survival rate.
This review focuses mainly on the intraductal delivery of nanocarriers in treating ductal carcinoma in situ,
together with potential clinical translational research.
DOI: 10.15468/dl.8hcynq
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Palinurus ornatus Fabricius, 1798"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019599-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6294r
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bacillus thuringiensis Berliner, 1915",
 "Year 1000-2024"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019598-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25402/nnm.22005176.v1
title: PolyIC-coated Prussian blue nanoparticles as a dual-mode HIV latency reversing agent - Supplementary dataset

description: Aim: To investigate Prussian blue nanoparticles (PBNPs) coated with the synthetic analog of dsRNA
polyinosinic-polycytidylic acid (polyIC) for their ability to function as HIV latency reversing agents.
Methods: A layer-by-layer method was used to synthesize polyIC-coated PBNPs (polyIC-PBNPs). PolyICPBNPs
were stable and monodisperse, maintained the native absorbance properties of both polyIC and
PBNPs and were obtained with high nanoparticle collection yield and polyIC attachment efficiencies.
Results: PolyIC-PBNPs were more effective in reactivating latent HIV than free polyIC in a cell model of
HIV latency. Furthermore, polyIC-PBNPs were more effective in promoting immune activation than free
polyIC in CD4 and CD8 T cells. Conclusion: PBNPs function as efficient carriers of nucleic acids to directly
reverse HIV latency and enhance immune activation.
DOI: 10.25402/nnm.22093577
title: Preparation and characterization of amoxapine- and naringin-loaded solid lipid nanoparticles: drug-release and molecular-docking studies - supplementary dataset

description: Aim: Amoxapine (AMX) has been reported to be metabolized by CYP3A4 and CYP2D6. Naringin (NG) has
been reported to inhibit CYP enzymes. Therefore, the current work was designed to develop AMX solid
lipid nanoparticles (AMX-SLNs) and NG-SLNs for better therapeutic performance. Materials & methods:
AMX-SLNs and NG-SLNs were prepared and characterized. AMX and NG interactions with CYP450s were studied with molecular docking to rationalize the effectiveness of the combination. Results: AMX-SLNs
and NG-SLNs showed nanometric size with a sustained in vitro drug-release profile. NG showed a higher
predicted binding affinity for CYP3A4 and CYP2D6, suggesting the potential for inhibition. Conclusion:
The developed formulations were thoroughly characterized along with molecular docking data indicating
promising AMX and NG combinations that may show good therapeutic activity.
DOI: 10.25402/nnm.22698634.v1
title: Nano drug-delivery systems for management of AIDS: liposomes, dendrimers, gold and silver nanoparticles Supplementary Dataset

description: AIDS causes increasing mortality every year.With advancements in nanomedicine, different nanomaterials
(NMs) have been applied to treat AIDS and overcome its limitations. Among different NMs, nanoparticles
(NPs) can act as nanocarriers due to their enhanced solubility, sustained release, targeting abilities
and facilitation of drug dose reductions. This review discusses recent advancements in therapeutics for
AIDS/HIV using various NMs, mainly focused on three classifications: polymeric, liposomal and inorganic
NMs. Polymeric dendrimers, polyethylenimine-NPs, poly(lactic-co-glycolic acid)-NPs, chitosan and the use
of liposomal-based delivery systems and inorganic NPs, including gold and silver NPs, are explored. Recent
advances, current challenges and future perspectives on the use of these NMs for better management of
HIV/AIDS are also discussed.
DOI: 10.5281/zenodo.11202460
title: CNF Encoded Isomorphic and Optimized Miters from Hardware Model Checking Competition 2020 Models

description: From the Hardware Model Checking Competition 2020 we have collected 324sequential model checking problems and for each generated an isomorphic andan optimized miter.  The isomorphic miters just compares two identicalcopies while for the optimized miter one copy went through optimizationwith ABC using the `dc2` command.

The CNFs are generated with a new version of `aigtocnf` which detectsXOR and ITE gates in the AIGER circuit and if detected uses a more compactencoding (4 clauses clauses instead of 9) for each detected gate.
DOI: 10.5281/zenodo.11202461
title: CNF Encoded Isomorphic and Optimized Miters from Hardware Model Checking Competition 2020 Models

description: From the Hardware Model Checking Competition 2020 we have collected 324sequential model checking problems and for each generated an isomorphic andan optimized miter.  The isomorphic miters just compares two identicalcopies while for the optimized miter one copy went through optimizationwith ABC using the `dc2` command.

The CNFs are generated with a new version of `aigtocnf` which detectsXOR and ITE gates in the AIGER circuit and if detected uses a more compactencoding (4 clauses clauses instead of 9) for each detected gate.
DOI: 10.15468/dl.7cy4kq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senex ornatus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019600-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/7280254
title: Almond Varieties
DOI: 10.25402/nnm.14572914.v1
title: Supplementary Table 1: Preclinical studies conducted on nanozyme antioxidants: shortcomings and challenges based on US FDA regulations.docx

description: <b>Table
 S1.</b> An overview on the results of the papers which have conducted in vivo
 analysis for evaluation of nanozyme antioxidants since 2009.
DOI: 10.25402/nnm.22925222.v1
title: Preparation of a shared chip for cell capturing and imaging with nanoparticle scaffold, nanogap and circulating tumor cell detection supplementary information

description: Aim: To achieve accurate detection of circulating tumor cells (CTCs) in a large-volume sample. Materials &
methods: Silica nanoparticles were crosslinked layer-by-layer on glass slides as the substrate of a chip using
polyacrylic acid. Polyacrylic acid was immobilized as a spacer and capture ligands were immobilized on the
spacer. Results: The chip can be integrally applied to capture, post-treatment and imaging detection for
CTCs. The detected cell numbers were 33 and 40 for 9 cell/ml samples and clinical blood samples (7.5 ml),
respectively. The detection ratio of positive samples was 100%. Conclusion: The significantly increased
detected number for CTCs indicates that this methodology may avoid or greatly reduce the false-negative
ratio of positive clinical samples.
DOI: 10.25402/nnm.23130248.v1
title: Efficacy and safety of nano-paclitaxel formulation for cancer treatment: evidence from randomized clinical trials supplementary files

description: Aim: We aimed to analyze efficacy and adverse events for nano-bound paclitaxel in cancer treatment,
which remain controversial. Method: We obtained relevant previously published studies and extracted
data on the efficacy and adverse events of nano-bound paclitaxel. Fifteen randomized clinical trials
were included. Results: Nanoparticle albumin-bound (Nab-) paclitaxel was beneficial in terms of objective
response rate (odds ratio [OR]: 1.08, 95% CI: 0.72–1.62) and partial response (OR: 1.28, 95% CI: 0.89–1.83),
while polymeric micellar (PM-) paclitaxel was beneficial in terms of objective response rate (OR: 1.76) and
partial disease (hazard ratio [HR]: 0.65). Both Nab-paclitaxel and PM-paclitaxel resulted in slightly longer
overall survival (HR: 0.93 and 0.94) and progression-free survival (HR: 0.93 and 0.87) when compared with
solvent-based paclitaxel. Peripheral sensory neuropathy (OR: 3.47), neutropenia (OR: 1.79) and anemia
(OR: 1.79) were more frequent after Nab-paclitaxel treatment. Conclusion: Nano-paclitaxel formulations
have a better efficacy in cancer treatment; however, they increase the risk of hematological adverse events
and peripheral sensory neuropathy. The PM-paclitaxel treatment had a high safety effect.
DOI: 10.25402/nnm.22269214
title: Near-infrared enhances antiangiogenic potentiality of quinacrine-gold hybrid nanoparticles in breast cancer stem cells via deregulation of HSP-70/TGF-β - Supplementary data

description: Aim: This study aimed to explore the antiangiogenic mechanism of quinacrine-gold hybrid nanoparticle
(QAuNP) and near-infrared (NIR) radiation in patient-derived primary breast cancer stem cells. Materials
& methods: Various cell-based in ovo angiogenesis and in vivo patient-derived xenograft mouse systems
were used as models for the study. Results: The experimental results showed that QAuNP + NIR
treatment deregulated the HSP-70/TGF-β physical interaction in primary breast cancer stem cells. Reduced
TGF-β secretion in the tumor microenvironment inhibited angiogenesis activation in endothelial cells
by deregulating the TGF-β-mediated PI3K/AKT/mTOR cascade. Conclusion: This study revealed that
QAuNP + NIR irradiation downregulated HSP-70 expression, inhibited the HSP-70/TGF-β interaction,
reduced the secretion of TGF-β in the tumor microenvironment and ultimately inhibited TGF-β-mediated angiogenesis.
DOI: 10.25402/nnm.22591669.v1
title: Quercetin nanocrystals prepared by a novel technique improve dissolution rate and antifibrotic activity of quercetin - Supplementary materials

description: Aim: To develop quercetin nanocrystals by a simple approach and to evaluate their in vivo antifibrotic
efficacy. Materials & methods: Nanosuspensions were fabricated by a thin-film hydration technique and
ultrasonication. The influence of process variables on the average diameter of quercetin nanoparticles was
investigated. Moreover, in vivo efficacy was investigated in an established murine CCl4-induced fibrosis
model. Results: Nanocrystals showed a particle size of &lt;400 nm. The optimized formulations showed an
increase in dissolution rate and solubility. Quercetin nanocrystals markedly prevented fibrotic changes in
the liver, as evidenced by mitigated histopathological changes and diminished aminotransferase levels and
collagen accumulation. Conclusion: The findings reflect the promising potential of quercetin nanocrystals
for liver fibrosis prevention.
DOI: 10.15468/dl.4zhczq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACD1748"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019602-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25402/nnm.22591762.v1
title: Prophylactic and therapeutic role of catechin-loaded poly(D,L-lactic-co-glycolic acid) nanocapsules in gastric ulcer by in vitro and in vivo approach - Supplementary file

description: Background: Gastric ulcer develops from imbalance of gastro-aggressive and protective factors. As
existing drugs have adverse effects, use of natural products is in continuous expansion. In this study, we
prepared nanoformulation with catechin and polylactide-co-glycolide to provide a sustained, controlled
and targeted delivery. Materials & methods: Detailed characterization and toxicity study of nanoparticles
were done on cells and Wistar rats. The comparative actions of free compound and nanocapsule were
investigated in vitro and in vivo during treatment of gastric injury. Results: Nanocatechin improved
bioavailability, reduced gastric damage at a significantly lower dose (2.5 mg/kg) by safeguarding
from reactive oxygen species, restored mitochondrial integrity and downregulated MMP-9 and other
inflammatory mediators. Conclusion: Nanocatechin is a better alternative for preventing and healing
gastric ulcers.
DOI: 10.15468/dl.wwrpuy
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "GadmGid is ESP.4_1",
 "Geometry POLYGON((-15.89974 34.13604,15.89974 34.13604,15.89974 46.86396,-15.89974 46.86396,-15.89974 34.13604))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dactylorhiza insularis (Sommier) Ó.Sánchez & Herrero"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019601-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25402/nnm.22820759
title: Multisubcellular organelle-targeting nanoparticle for synergistic chemotherapy and photodynamic/photothermal tumor therapy - supplementary data

description: Background: The subcellular organelle-targeting strategy has attracted wide attention for a variety
of reasons, including strong specificity, high accuracy, low dose administration and few side effects.
It is an important and challenging task to explore the multisubcellular organelle-targeting strategy
to achieve effective tumor treatment. Materials & methods: Using bovine serum albumin as a
nanoreactor, BSA/Cu/NQ/IR780/DOX nanoparticles (NPs) were constructed via drug-induced protein
self-assembly. Folic acid was then coupled to the surface of NPs to prepare folate receptortargeted
FA-BSA/Cu/NQ/IR780/DOX NPs. Results & conclusion: The FA-BSA/Cu/NQ/IR780/DOX NPs
exhibit multifunctional properties, including multisubcellular organelle-targeting, induction of response
release in the tumor microenvironment, fluorescence imaging capabilities and potential for synergistic
chemotherapy and photodynamic/photothermal tumor therapy.
DOI: 10.5281/zenodo.11199275
title: Replication Data and Analyses for: J. Monsimet, S. Sjögersten, N.J. Sanders, M. Jonsson, J. Olofsson & M. Siewert, 2024. UAV data and deep learning: efficient tools to map the ecological footprint of ants mounds, Remote Sensing in Ecology and Conservation.

description: This dataset corresponds to the article: "Jérémy Monsimet*¹, Sofie Sjögersten², Nathan J. Sanders³, Micael Jonsson¹, Johan Olofsson¹, Matthias Siewert¹, 2024. UAV data and deep learning: efficient tools to map the ecological footprint of ants mounds, Remote Sensing in Ecology and Conservation"

DOI: 10.1002/rse2.400

1 Department of Ecology and Environmental Science, Umeå University, Sweden2 School of Biosciences, University of Nottingham, Loughborough, UK3 Department of Ecology and Evolutionary Biology, University of Michigan, US

The gitlab repository of this dataset is available at: https://gitlab.com/Monsimet/uav_ants_treeline/-/tree/main/

In this repository, you will find the analyses and results presented in the paper. In each folder, there is a html file that can be read after downloading locally the whole folder. You can either run the .qmd file used to produce the html file or walk through the html files (see the readme.md for more information).

Paper abstract:

High‐resolution unoccupied aerial vehicle (UAVs) data have alleviated the mismatch between the scale of ecological processes and the scale of remotely sensed data, while machine learning and deep learning methods allow new avenues for quantification in ecology. Ant nests play key roles in ecosystem functioning, yet their distribution and effects on entire landscapes remain poorly understood, in part because they and their mounds are too small for satellite remote sensing. This research maps the distribution and impact of ant mounds in a 20 ha treeline ecotone. We evaluate the detectability from UAV imagery using a deep learning model for object detection and different combinations of RGB, thermal and multispectral sensor data. We were able to detect ant mounds in all imagery using manual detection and deep learning. However, the highest precision rates were achieved by deep learning using RGB data which has the highest spatial resolution (1.9 cm) at comparable UAV flight height. While multispectral data were outperformed for detection, it allows for novel insights into the ecology of ants and their spatial impact on vegetation productivity using the normalized difference vegetation index. Scaling up, this suggests that ant mounds quantifiably impact vegetation productivity for up to 4% of our study area and up to 8% of the Betula nana vegetation communities, the vegetation type with the highest abundance of ant mounds. Therefore, they could have an overlooked role in nutrient‐limited tundra vegetation, and on the shrubification of this habitat. Further, we show the powerful combination UAV multi‐sensor data and deep learning for efficient ecological tracking and monitoring of mound‐building ants and their spatial impact.
DOI: 10.5281/zenodo.11199276
title: Replication Data and Analyses for: J. Monsimet, S. Sjögersten, N.J. Sanders, M. Jonsson, J. Olofsson & M. Siewert, 2024. UAV data and deep learning: efficient tools to map the ecological footprint of ants mounds, Remote Sensing in Ecology and Conservation.

description: This dataset corresponds to the article: "Jérémy Monsimet*¹, Sofie Sjögersten², Nathan J. Sanders³, Micael Jonsson¹, Johan Olofsson¹, Matthias Siewert¹, 2024. UAV data and deep learning: efficient tools to map the ecological footprint of ants mounds, Remote Sensing in Ecology and Conservation"

DOI: 10.1002/rse2.400

1 Department of Ecology and Environmental Science, Umeå University, Sweden2 School of Biosciences, University of Nottingham, Loughborough, UK3 Department of Ecology and Evolutionary Biology, University of Michigan, US

The gitlab repository of this dataset is available at: https://gitlab.com/Monsimet/uav_ants_treeline/-/tree/main/

In this repository, you will find the analyses and results presented in the paper. In each folder, there is a html file that can be read after downloading locally the whole folder. You can either run the .qmd file used to produce the html file or walk through the html files (see the readme.md for more information).

Paper abstract:

High‐resolution unoccupied aerial vehicle (UAVs) data have alleviated the mismatch between the scale of ecological processes and the scale of remotely sensed data, while machine learning and deep learning methods allow new avenues for quantification in ecology. Ant nests play key roles in ecosystem functioning, yet their distribution and effects on entire landscapes remain poorly understood, in part because they and their mounds are too small for satellite remote sensing. This research maps the distribution and impact of ant mounds in a 20 ha treeline ecotone. We evaluate the detectability from UAV imagery using a deep learning model for object detection and different combinations of RGB, thermal and multispectral sensor data. We were able to detect ant mounds in all imagery using manual detection and deep learning. However, the highest precision rates were achieved by deep learning using RGB data which has the highest spatial resolution (1.9 cm) at comparable UAV flight height. While multispectral data were outperformed for detection, it allows for novel insights into the ecology of ants and their spatial impact on vegetation productivity using the normalized difference vegetation index. Scaling up, this suggests that ant mounds quantifiably impact vegetation productivity for up to 4% of our study area and up to 8% of the Betula nana vegetation communities, the vegetation type with the highest abundance of ant mounds. Therefore, they could have an overlooked role in nutrient‐limited tundra vegetation, and on the shrubification of this habitat. Further, we show the powerful combination UAV multi‐sensor data and deep learning for efficient ecological tracking and monitoring of mound‐building ants and their spatial impact.
DOI: 10.25402/nnm.23708592.v1
title: Curcumin combining temozolomide formed localized nanogel for inhibition of postsurgical chemoresistant glioblastoma

description: Aim: To investigate the use of nanoparticle (NP)-encapsulated injectable thermosensitive hydrogelformed
nanogel for inhibition of postsurgical residual temozolomide (TMZ)-resistant glioblastoma (GBM)
recurrence. Materials & methods: Curcumin (Cur) was coloaded with TMZ into PEG-PLGA NPs, then NPs
were further encapsulated into a thermosensitive hydrogel to form a nanogel, which was injected into
the resection cavity of the GBM postsurgery. Results: The prepared nanogel displayed excellent drugloading
capacity and long-term drug release. Estimated survival characteristics demonstrated that the
nanogel could play a significant role in TMZ-resistant tumor inhibition with low drug-induced toxicity.
The originally designed ratio of Cur/TMZ was sustained, making it an effective therapeutic outcome.
Conclusion: Cur-combined TMZ-formed nanogels can be a promising candidate for the local inhibition of
GBM recurrence.
DOI: 10.25402/nnm.23798847.v1
title: Enhanced anticancer activity of siRNA and drug codelivered by anionic biopolymer: overcoming electrostatic repulsion - supplementary information

description: Aim: To codeliver an anticancer drug (doxorubicin) and siRNA in the form of nanoparticles into CD44-overexpressing colon cancer cells (HT-29) using an anionic, amphiphilic biopolymer comprising modified hyaluronic acid (6-O-[3-hexadecyloxy-2-hydroxypropyl]-hyaluronic acid). Materials & methods: Characterization of nanoparticles was performed using dynamic light scattering, scanning electron microscopy, transmission electron microscopy, molecular docking, in vitro drug release and gel mobility assays. Detailed in vitro experiments, including a gene silencing study and western blot, were also performed. Results: A 69% knockdown of the target gene was observed, and western blot showed 5.7-fold downregulation of the target protein. The repulsive forces between siRNA and 6-O-(3-hexadecyloxy-2-hydroxypropyl)-hyaluronic acid were overcome by hydrogen bonding and hydrophobic interactions. Conclusion: We successfully codelivered a drug and siRNA by anionic vector.