cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16739907
title: Data related to "Tau, amyloid-beta and alpha-synuclein co-pathologies synergistically enhance neuroinflammation and neuropathology"

description: Manuscript Abstract

Alzheimer’s and Parkinson disease pathology can co-occur, with amyloid-beta and phosphorylated tau, found in over half of Parkinson disease cases. Alpha-synuclein inclusions, a hallmark of Parkinson disease, are present in over 30% of Alzheimer’s cases and the co-expression of these pathologies is linked to faster cognitive decline and earlier death. Immune activation is a hallmark of both diseases, but current model systems primarily examine each pathology in isolation. As such, how these co-pathologies interact to drive inflammation and neuronal loss remain poorly understood. To address this, we developed a co-pathology mouse model combining tau, amyloid-beta, and alpha-synuclein. Here, we show that co-pathologies synergistically trigger a distinct and amplified neuroimmune response, marked by robust expansion of CD4+ and CD8+ tissue-resident memory T cells and increased CD68+ microglia, a population of activated, phagocytosing microglia, compared to single pathology brains. These changes were abundant in the hippocampus and cortex, regions showing elevated Aβ protein pathology load and enhanced neuronal loss with co-pathology expression. Our findings demonstrate that co-pathologies act synergistically to enhance immune activation prior to neurodegeneration. This model provides a platform for assessing mixed-pathology mechanisms and identifies key immune cell populations that may drive disease acceleration across Alzheimer’s, Parkinson disease and their related dementias.
DOI: 10.25345/c5n873c4x
title: MassIVE MSV000099007 - Surface proteomics reveals arginine metabolism as a vulnerability in high grade serous ovarian cancer
title: The significant lethality of high-grade serous ovarian cancer (HGSC) is driven by the lack of long-term efficacy of current treatments, underscoring the need for developing additional therapeutics. Cell surface proteins represent attractive therapeutic targets yet remain underexplored in high-grade serous ovarian cancer. Here, we employed cell surface N-glycoproteomics to elucidate the cell surface proteomes of HGSC cells alongside normal epithelial and cancer-associated stromal cells, uncovering new opportunities for therapeutic intervention. Integration of cell surface N-glycoproteomics and functional screening revealed multiple minimally characterized, HGSC-enriched surface proteins that are critical for HGSC proliferation - most notably, SLC7A1. Multi-omic and functional characterization indicated that SLC7A1 is necessary for HGSC migration, protein synthesis and mitochondrial functions likely linked to its role as an arginine transporter. Finally, we demonstrate that elevated surface expression of SLC7A1 in HGSC reflects dysregulated arginine metabolism, pointing to a putative therapeutic vulnerability. Our work identifies SLC7A1 and arginine metabolism as a previously unrecognized molecular vulnerability in HGSC and provides a framework to guide future therapeutic development.
DOI: 10.15468/dl.3uwa5e
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tripleurospermum maritimum",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020168-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48366/r1468546
title: A Comparative Study of Malware Detection with AI Investigations

description: This work is an outlook of existing works that surveyed and reviewed detection of malware using AI.
DOI: 10.15468/dl.ye8tpg
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tripleurospermum maritimum",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 124 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020170-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98mdz6
title: Occurrence Download

description: A dataset containing 605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tripleurospermum maritimum",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 605 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020169-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17041438
title: "Raw ELISA Data for High-Dose Montelukast Induces Monoamine Depletion and Compensatory BDNF Upregulation in Rat Brain"

description: his dataset contains the raw enzyme-linked immunosorbent assay (ELISA) results used in the study “High-Dose Montelukast Induces Monoamine Depletion and Compensatory Brain-Derived Neurotrophic Factor (BDNF) Upregulation in Rat Brain”. The data include quantitative measurements of dopamine, serotonin, norepinephrine, and brain-derived neurotrophic factor (BDNF) levels obtained from hippocampal tissue samples of male albino rats (n = 7 per group). Animals were divided into five groups:





Negative control,




Positive control (Reserpine 0.2 mg/kg, i.p.),




Montelukast 5 mg/kg (oral),




Montelukast 10 mg/kg (oral),




Montelukast 20 mg/kg (oral
DOI: 10.15468/dl.5s6ja6
title: Occurrence Download

description: A dataset containing 937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hantzschia amphioxyss, Hapalosiphon, Heteroleibleinia, , Hippodonta, Homoeothrix, Kirchneriella, Klebsormidium, Kobayasiella, Kobayasiella subtilissima, Lagerheimia, Lemnicola, , Luticola goeppertiana, Dorofeyukea, Lyngbya, Melosira, Melosira varians, Merismopedia, Micractinium, Micrasterias, Microcystis, Monoraphidium, Mougeotia, Navicula angusta, Navicula antonii, Navicula capitatoradiata, Navicula cincta, Navicula cryptocephala, Navicula cryptotenelloides, Navicula erifuga, Navicula germainii, Navicula gregaria, Navicula heimansioides, Navicula libonensis, Navicula longicephala, Navicula minima, Navicula, Navicula notha, Navicula radiosa, Navicula ranomafanensis, Navicula recens, Navicula reichardtiana, Navicula rhynchocephala, Navicula riediana, Navicula rostellata, Navicula schroeteri, Navicula symmetrica, Navicula tripunctata, Navicula trivialis, Navicula veneta, Navicula zanoni, Navicymbula, Nitzschia, , Nitzschia agnewii, , Nitzschia archibaldii, Nitzschia aurariae, Nitzschia capitellata, , Nitzschia closterium, Nitzschia desertorum, Nitzschia dissipata, Nitzschia etoshensis, Nitzschia filiformis, , , Nitzschia intermedia, Nitzschia irremissa, Nitzschia liebetruthii, , Nitzschia littorea, , , Nitzschia nana, Nitzschia pura, , Nitzschia recta, Nitzschia sublinearis, Nitzschia communis, Nostoc, Nostoc commune, Oedogonium, Oedogonium minus, Oocystis, Orthoseira, Oscillatoria, Oscillatoria princeps, Oscillatoria sancta, Oscillatoria tenuis, Oxyneis, Palmella, Pediastrum, Pediastrum duplex, Phacus, Phormidium, Pinnularia acrosphaeria, Pinnularia, )",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 937 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020171-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-3we2-a539
title: Characteristics of Vulnerability of Tampa Residents Proximate to Superfund Sites

description: How does the vulnerability of Tampa neighborhoods relate to their distance from superfund sites and other hazardous waste? Superfund sites in Hillsborough county are located near vulnerable communities, which further makes them vulnerable. Using a mixed methods approach, I used both census data of 6 selected census tracts in Hillsborough county and Interviews with community stakeholders to determine the vulnerability of Tampa and see what is being done to help. I then compared this to the superfund site proximity, to see the correlation. There is a correlation between higher percentages on indicators of vulnerability and distance form superfund sites and hazardous waste sites in the selected census tracts.

The Weather Climate and Society REU program invited 10 students from across the US to conduct research projects related to disaster-vulnerable communities in Florida and other extreme weather-affected areas. These projects were interdisciplinary, integrating social science and physical science aspects of severe weather, climate, and related disasters through field work, interviews, and/or spatial analysis of secondary data in GIS. The PI of this REU is Dr. Jennifer Collins.
DOI: 10.15468/dl.nh35fy
title: Occurrence Download

description: A dataset containing 796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Indigofera arrecta",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 796 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020172-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/ajherw
title: Data Management and Sharing Plan for: DEFINING MECHANISMS OF PROGENITOR BALANCE AND NEURONAL CONNECTIVITY

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.qp826c
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Tanzania, United Republic of",
 "TaxonKey is Encephalartos kanga"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020173-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.877qhh
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alonella, Anisocentropus, Anopheles, Aphelocheirus schoutedeni, Aphelocheirus, Atherix, Athripsodes prionii, Atrichopogon, , Aulophorus, Bezzia, Biomphalaria pfeifferi, Biomphalaria, Branchiura sowerbyi, Branchiura, Canthydrus notula, Canthydrus, Caridina nilotica, Caridina typus, Catoxyethira, Ceratogomphus, Ceriodaphnia, Chaetogaster, Chaoborus, Chlorocypha, Chrysops, Chydorus, Clinotanypus, Corynoneura, Culicoides, Cyclops, Cypridopsis, Cyprilla, , Dineutus, Dryops, Ecnomus thomasseti, Elattoneura, Enallagma, Ephoron, Eubrianax, Forcipomyia, Goerodes, Gomphocythere, Helminthopsis, Hemerodromia, Hydaticus dorsiger, Hydaticus, Hydra, Hydrellia, Hydropsyche, Hyphydrus, Ilyocryptus, Isocypris, Laccophilus flaveolus, Laccophilus lineatus, Laccophilus modestus, Laccophilus pellucidus, Leptelmis, Leptocerus, Lestes, Limnodrilus, Limnophora, Lobelmis, Machadorythus, Macrobrachium equidens, Macrobrachium, Macromia, Micronecta dimidiata, Naucoris obscuratus, Naucoris, Notonurus, Nychia, Oecetis, Orthotrichia, Pachyelmis, Palpomyia, Paracyclops, Paragomphus, Parasetodes, Phaon, Pionocypris, Pleuroxus, Polyplectropus, Potamodytes, Potamogethes, Pristina, Procladius, Prosopistoma, Pseudagrion gigas, Pseudagrion hageni, Pseudagrion kersteni, Pseudagrion salisburyense, Pseudancyronyx, Maruina, Pericoma, Ranatra, Rhantaticus congestus, Rhantaticus, Rheotanytarsus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 368 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020174-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-f1pz-kk81
title: Hurricane Evacuation Capability of Older Adults in Pinellas County, Florida

description: Research Questions: Does household size affect hurricane evacuation capability in Pinellas County? Does age and household size affect the hurricane evacuation capability of married households in Pinellas County? Does age and household size affect the hurricane evacuation capability of single households in Pinellas County? Background: In September 2022, Hurricane Ian made landfall near Cayo Costa, FL as a Category 5 hurricane with 148 deaths—majority 55 and older. Further research is needed to understand factors that hinder older adults from evacuating. Methods: An evacuation survey conducted following Hurricane Ian in Pinellas County (n = 1239) included 53.4% (n = 662) aged 55+. Chi-square tests were preformed to examine the relationship between age, household size, and marital status with their decision to evacuate. Results: The association between household size and evacuation decisions is statistically significant (8.91, p = 0.01), while age and evacuation decisions among individuals who are not married nor have a domestic partner was found to have a statistically significant (6.43,p = 0.04) association as well. It can be hypothesized that those who are not married or do not have a domestic partner are more likely to evacuate. Additional barriers to evacuation are pets and traffic which contributed to 51.4% and 40.7% of evacuation decisions by older adults respectively. More elaborated statistical analysis needs to be done to address these barriers. Conclusion: Understanding how the composition of a household and its relationship with evacuation decisions can help emergency management develop more targeted messaging to improve evacuation intentions.

The Weather Climate and Society REU program invited 10 students from across the US to conduct research projects related to disaster-vulnerable communities in Florida and other extreme weather-affected areas. These projects were interdisciplinary, integrating social science and physical science aspects of severe weather, climate, and related disasters through field work, interviews, and/or spatial analysis of secondary data in GIS. The PI of this REU is Dr. Jennifer Collins.
DOI: 10.15468/dl.ave8ja
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dendroctonus mexicanus"
 ]
}

 The dataset includes 285 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020175-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42erw4
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Tanzania, United Republic of",
 "TaxonKey is Encephalartos kanga"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020176-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-7vss-jn13
title: Cultural Models for Assessing Impacts of Stormwater on the Aaran's Pond Community

description: Aaran's Pond is a local stormwater retention pond in the University Area community, and it is an important feature of green infrastructure designed to control flooding by managing rainfall runoff over impervious surfaces, such as roads and parking lots. This study examines the different ways in which residents interact with and perceive the pond, as well as how the pond has shaped the culture of its surrounding community. Intended results of this study are to understand how social dynamics affect the pond's immediate presence and to find a correlation between the existence of the pond and the identity of the community surrounding it. Using archival data, theory,geographic information systems, along with qualitative data from twelve comprehensive and semi-structured interviews with local residents, this study intends to understand how local residents' cultural models explain their perceptions of the pond. Analysis of this information is intended to contribute to the pond's redevelopment and revitalization efforts.

The Weather Climate and Society REU program invited 10 students from across the US to conduct research projects related to disaster-vulnerable communities in Florida and other extreme weather-affected areas. These projects were interdisciplinary, integrating social science and physical science aspects of severe weather, climate, and related disasters through field work, interviews, and/or spatial analysis of secondary data in GIS. The PI of this REU is Dr. Jennifer Collins.
DOI: 10.60707/zm0q-3s06
title: SEM EDS elemental maps and backscattered electron image for sample OREX-803172-0
DOI: 10.15468/dl.wwpd67
title: Occurrence Download

description: A dataset containing 11040 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parablennius gattorugine"
 ]
}

 The dataset includes 11040 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020177-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p62u3j
title: Occurrence Download

description: A dataset containing 355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dendroctonus adjunctus"
 ]
}

 The dataset includes 355 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020178-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60707/zt39-pb61
title: SEM EDS elemental maps and backscattered electron image for sample OREX-803172-0
DOI: 10.60707/9jh0-8x85
title: SEM EDS elemental maps and backscattered electron image for sample OREX-803172-0
DOI: 10.60707/9622-x245
title: SEM EDS elemental maps and backscattered electron image for sample OREX-803172-0
DOI: 10.15468/dl.skf6vx
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-108.28278455038017 39.95345121651204, -108.29406354766303 39.95306382463193, -108.30502698069901 39.95098916432392, -108.31525265182037 39.94730716871923, -108.32434695855503 39.942159674345895, -108.3319601164176 39.935744918652304, -108.33779964577886 39.928309857498284, -108.3416415977343 39.920140607676174, -108.34333908979254 39.911551391985284, -108.3428278342266 39.90287242077319, -108.34012846444261 39.89443718218668, -108.33534559196909 39.886569632570286, -108.3286636531365 39.87957177830803, -108.32033972524682 39.87371212154188, -108.31069360280503 39.86921540591932, -108.30009552182509 39.86625404668248, -108.28895200177791 39.86494156428112, -108.27769033861706 39.86532826483632, -108.2667423273089 39.86739932693453, -108.25652781770032 39.87107536523991, -108.24743871302502 39.876215450170086, -108.23982400580569 39.882622472297705, -108.23397641155141 39.89005065312804, -108.23012110697618 39.89821492333508, -108.2284070073858 39.90680181821987, -108.22890092884988 39.91548148075624, -108.23158487691775 39.92392031754954, -108.23635658787491 39.93179382446158, -108.24303332463128 39.93879908816484, -108.25135880185753 39.94466647849769, -108.26101298918061 39.94917007444693, -108.27162442278403 39.95213641330252, -108.28278455038017 39.95345121651204))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 78 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020180-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-tmw3-wf30
title: Risk Communication for older adults during Hurricane Ian evacuation orders in Pinellas County

description: Understanding communication preferences for older adults—those aged 55and older—allows for more effective emergency preparedness strategies for future risk communication planning. With 42.5% (n = 409,230) of the population in Pinellas County 55 years and older, identifying sources of information used among this segment of the population during Hurricane Ian provides further insight into evacuation decisions. Survey questions gauge reliance on thirteen types of communication options for evacuation information with local media, mobile weather apps, social media, and county/city (local) emergency management websites were reviewed for further analysis. As a result, the older adult population relied significantly on local media (62.8%), with 37.8% monitoring local emergency management websites and 30.0% using weather apps to obtain information. Whereas social media (4.8%) played a minimal role in obtaining information. Similarly, it was determined that 71.9% of those who evacuated relied on local media outlets,while 45.4% of those who evacuated used local emergency management preparedness websites, and 37.3% relied on weather apps to obtain information. When the older adult population was asked, “Do you feel you were provided timely information to make a good evacuation choice?” a majority (79.2%) indicated that they definitely believed this to be true with17.5% indicating “somewhat” and only 3.3% stating “not at all.” Findings underscore the importance of traditional media and official emergency channels in guiding evacuation decisions among older adults, emphasizing the need for tailored communication strategies to enhance preparedness and ensure the safety of vulnerable populations during natural hazards.

The Weather Climate and Society REU program invited 10 students from across the US to conduct research projects related to disaster-vulnerable communities in Florida and other extreme weather-affected areas. These projects were interdisciplinary, integrating social science and physical science aspects of severe weather, climate, and related disasters through field work, interviews, and/or spatial analysis of secondary data in GIS. The PI of this REU is Dr. Jennifer Collins.