cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mjgsy7
title: Occurrence Download

description: A dataset containing 120 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 ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 120 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020157-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-gf49-ay57
title: Collaborative Co-Design: A Participatory Approach to Green Infrastructure in the Aaran's Pond Community

description: This poster examines the different ways in which environmental engineers and community residents can collaborate on co-designing solutions to failing stormwater ponds—important forms of green infrastructure used to control flooding in the Tampa Bay area. With increasing frequency and intensity of flooding events due to climate change, some stormwater ponds,such as Aaran’s Pond in the University Area Community near USF, are becoming less effective at flood management and increasingly characterized by poor water quality due to excessive nutrient pollution that negatively impacts the health of the pond ecosystem and the people who rely on it. This research draws on data from 12 in-depth, semi-structured interviews with environmental engineers from USF and Hillsborough County and with community residents. Thematic analysis of the qualitative data reveal opportunities and challenges of the co-design process and how collaborators can balance expert knowledge and local knowledge.

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.vzuggu
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tolpis virgata",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020159-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amnuj4
title: Occurrence Download

description: A dataset containing 5489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnosporia senegalensis",
 "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 5489 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020158-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwxvqk
title: Occurrence Download

description: A dataset containing 29122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (United States of America, Canada)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lithobates catesbeianus"
 ]
}

 The dataset includes 29122 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020162-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymsxry
title: Occurrence Download

description: A dataset containing 115 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 ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 115 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020161-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-yncn-3f14
title: Creative Placemaking for Productive Landscapes: Imagined Futures for Aaran's Pond

description: This poster examines three alternative pondscape designs to address community concerns about Aaran’s Pond, a stormwater pond in the University Area Community near the USF Tampa campus. Stormwater ponds are important forms of green infrastructure used to mitigate and adapt to flooding in the Tampa Bay area. These ponds also can help attenuate the flow of nutrients into the bay, which can cause harmful algal blooms that impact people and ecological habitats. With increasing frequency and intensifying flooding events due to climate change, some stormwater ponds, such as Aaran’s Pond, are becoming less effective at flood management and increasingly characterized by poor water quality due to excessive nutrient pollution that negatively impacts the health of the pond ecosystem and the people who rely on it. This research draws on data from over 100 freelisting surveys to analyze community concerns and interests about pond redevelopment using Smith’s S salience index. The results were used to derive three alternative redevelopment designs that feature principles of creative placemaking.

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: 10.48366/r1468544
title: Comparison between phishing detection surveys

description: This study provides a quick capture of what the phishing detection surveys propose in literature, for the researchers to be up-to-date.
DOI: 10.15468/dl.yv4s28
title: Occurrence Download

description: A dataset containing 74 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 ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 74 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020164-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewk5he
title: Occurrence Download

description: A dataset containing 1238 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pagrus auriga"
 ]
}

 The dataset includes 1238 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020165-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17041209
title: Medicaid Managed Care Organization Enrollment Data

description: This file contains plan-level Medicaid managed care organization enrollment data comparing 2022 figures to the latest month, showing market shares and enrollment numbers across different states and health plans.
DOI: 10.5281/zenodo.17041210
title: Medicaid Managed Care Organization Enrollment Data

description: This file contains plan-level Medicaid managed care organization enrollment data comparing 2022 figures to the latest month, showing market shares and enrollment numbers across different states and health plans.
DOI: 10.15468/dl.gvhdp6
title: Occurrence Download

description: A dataset listing the 21443 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Fungi"
 ]
}

 The dataset's 21443 records were derived from 441 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020160-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17041230
title: Disability Image Dataset v1.0

description: ## **HD-Set: Human Disability 2D Image Dataset**

📌 **Dataset Name**: **HD-Set**  📌 **Total Images**: **3,877**  📌 **Classes**: **7 (Six disability types + Normal category for comparison)**  

### **📖 Overview**The **HD-Set** dataset consists of **3,877** high-quality **2D images** of individuals with different disabilities. This dataset serves as a valuable resource for **computer vision, medical AI research, and accessibility studies**. It includes six distinct disability classes alongside a **normal** category to facilitate comparison.  

---

### **📂 Dataset Composition**The dataset contains **the following classes**:

| Class Name         | Number of Images ||--------------------|----------------|| Down Syndrome     | 1,123          || Blind            | 543            || Dwarf            | 448            || Prosthetic Legs  | 872            || Prosthetic Arms  | 334            || Cerebral Palsy   | 557            || **Normal**       | 1,000          || **Total**        | **3,877**      |

All images were collected from **royalty-free datasets** to ensure compliance with **data sharing ethics**.

---

### **🛠️ Usage & Applications**HD-Set is useful for:- **Machine Learning & Deep Learning**: Training and evaluating models for **disability detection**.- **Medical Research**: Assisting in studies related to **disability identification**.- **Accessibility Projects**: Improving AI-powered accessibility tools.- **Human-Centered AI**: Enhancing applications in **healthcare and social inclusion**.

---

### **📄 License**This dataset is available under the **[Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)** license. You are free to use, modify, and distribute it **with proper attribution**.

---

### **🙌 Contribution**If you would like to improve the dataset or scripts (e.g., adding annotations or new preprocessing functions), feel free to submit a **pull request** or open an **issue**.
DOI: 10.5281/zenodo.17041231
title: Disability Image Dataset v1.0

description: ## **HD-Set: Human Disability 2D Image Dataset**

📌 **Dataset Name**: **HD-Set**  📌 **Total Images**: **3,877**  📌 **Classes**: **7 (Six disability types + Normal category for comparison)**  

### **📖 Overview**The **HD-Set** dataset consists of **3,877** high-quality **2D images** of individuals with different disabilities. This dataset serves as a valuable resource for **computer vision, medical AI research, and accessibility studies**. It includes six distinct disability classes alongside a **normal** category to facilitate comparison.  

---

### **📂 Dataset Composition**The dataset contains **the following classes**:

| Class Name         | Number of Images ||--------------------|----------------|| Down Syndrome     | 1,123          || Blind            | 543            || Dwarf            | 448            || Prosthetic Legs  | 872            || Prosthetic Arms  | 334            || Cerebral Palsy   | 557            || **Normal**       | 1,000          || **Total**        | **3,877**      |

All images were collected from **royalty-free datasets** to ensure compliance with **data sharing ethics**.

---

### **🛠️ Usage & Applications**HD-Set is useful for:- **Machine Learning & Deep Learning**: Training and evaluating models for **disability detection**.- **Medical Research**: Assisting in studies related to **disability identification**.- **Accessibility Projects**: Improving AI-powered accessibility tools.- **Human-Centered AI**: Enhancing applications in **healthcare and social inclusion**.

---

### **📄 License**This dataset is available under the **[Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)** license. You are free to use, modify, and distribute it **with proper attribution**.

---

### **🙌 Contribution**If you would like to improve the dataset or scripts (e.g., adding annotations or new preprocessing functions), feel free to submit a **pull request** or open an **issue**.
DOI: 10.60520/ieda/113990
title: Whole rock elemental and isotopic data for volcanic rocks from the Carran Los Venados volcanic field, Southern Chile

description: This dataset contains sample information such as rock types and locations for volcanic rocks (lavas, scoria and tephra) collected in 2015 from the Carran Los Venados volcanic field in Southern Chile. All samples were analysed for elemental bulk rock concentrations, and a subset were analysed for Sr-Nd-Pb and U-Th (U-series) isotopes. Mineral elemental data for olivine, plagioclase and oxides are also presented. These data were consolidated to understand the petrogenesis and magmatic evolution of this volcanic field from its underlying Basal Lavas to the historic eruptions (1955 to 1979 C.E).
description: Lucy McGee, Katy J. Chamberlain, Mark Reagan, Geoff Nowell and Luis E. Lara [in review], Post-glacial melt generation in Southern Chile and the development of the Carrán-Los Venados Volcanic Field (40’20°S), Volcanica.
DOI: 10.17603/ds2-s868-kp55
title: Stormwater Infrastructure as a Socio-Ecological System: The Case of Aaran's Pond

description: This poster examines stormwater ponds as complex adaptive ecosystems in the urban environment, in which community residents and other stakeholders are integral components. Stormwater ponds are important forms of green infrastructure used to control flooding in the Tampa Bay area. These ponds also can help mitigate the flow of nutrients into the bay, which can cause harmful algal blooms that impact people and marine life.With increasing frequency and intensity of flooding events due to climate change, some stormwater ponds, such as Aaran’s Pond in the University Area Community near the USF Tampa campus, are becoming less effective at flood management and increasingly characterized by poor water quality due to excessive nutrient pollution that negatively impacts the health of the pond ecosystem and the people who rely on it. This research draws on data from 15in-depth, semi-structured interviews with environmental scientists and community residents. Thematic analysis of the qualitative data reveals how the Aaran’s Pond stormwater infrastructure has become a pond ecosystem with important ecosystem services that support and sustain human livelihoods. The analysis also reveals important insights for ecological restoration of the pond.

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.g5c27g
title: Occurrence Download

description: A dataset containing 5111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potentilla hebiichigo"
 ]
}

 The dataset includes 5111 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020167-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g82fvv
title: Occurrence Download

description: A dataset containing 59068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Cercis canadensis"
 ]
}

 The dataset includes 59068 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020115-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16739908
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.