cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30615272.v1
title: <b>Database collected as part of the study</b> <i>“Pathways to Strengthen the Climate Resilience of Health Systems in the Peruvian Amazon by Working with Indigenous Leaders, Communities, and Health Officers,”</i> <b>conducted in 2023.</b>

description: This database includes the results of the quantitative component of the study "Pathways to strengthen the climate resilience of health systems in the Peruvian Amazon by working with Indigenous leaders, communities and health officers" conducted in 2023This component was a cross-sectional survey applied to healthcare facilities of the health networks Alto Amazonas (n=6) and Satipo (n=7) provinces in Peru. Purposeful sampling was used with a remoteness criterion, using the distance from the main urban centre where the head of the health network is located. These criteria were validated by the Indigenous officers in the health networks of both regions to ensure an acceptable diversity of healthcare facilities.We designed the survey to characterise the health systems on the ground and investigate how the process of articulation between Indigenous and non-Indigenous health representatives was conducted. Our instrument enquired about the basic infrastructure of the health facility, service delivery, health priorities and community engagement. The instrument is also attached to this database.The original study is published here Vidal-Cuellar, C. L., Chicmana-Zapata, V., Arotoma-Rojas, I., Meza, G., Ford, J. D., Ferruchi, H. R., ... & Zavaleta-Cortijo, C. (2024). Pathways to strengthen the climate resilience of health systems in the Peruvian Amazon by working with Indigenous leaders, communities and health officers. <i>BMJ Global Health</i>, <i>8</i>(Suppl 3), e014391.<br><br>
DOI: 10.25345/c5f47h71d
title: MassIVE MSV000099895 - Ablation of ACSS2 Drives Alteration to Cardiac and Hepatic Proteomic Landscapes in a Tissue- and Sex-Specific Manner
title: ACSS2 catalyzes the conversion of acetate into acetyl-CoA, linking nutrient availability to cellular processes such as lipid biosynthesis, energy production, and epigenetic regulation. Although ACSS2 has been studied under metabolically stressful conditions, its basal sex- and tissue-specific functions remain poorly defined. Here, we employed deep proteomic phenotyping to characterize the effects of global ACSS2 ablation in the liver and heart of adult male and female mice. Over 6,000 proteins were identified per tissue, providing broad proteomic coverage. Despite the liver exhibiting the highest baseline abundance of ACSS2, the most extensive remodeling occurred in the heart. Both tissues displayed marked sex differences, with males showing greater overall proteomic shifts, and minimal overlap in differentially expressed proteins occurring between males and females. Shared alterations across tissues converged on metabolic and immune regulation, whereas sex-specific changes implicated distinct structural and signaling pathways. Comparatively modest hepatic changes may reflect compensatory processes in the liver, in contrast to the strong inhibitory remodeling observed in the heart. These findings reveal a previously unrecognized degree of tissue- and sex-specificity in regulation by ACSS2, while also highlighting the importance of including female mice in proteomic studies, as male only approaches may overlook key sex-dependent adaptations.
DOI: 10.5281/zenodo.17604173
title: Underwater images collected by a Kite surf in Le-Morne, Mauritius - 2018-03-11

description: This dataset was collected by a Kite surf in Le-Morne, Mauritius - 2018-03-11. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.15468/dl.jw5xeq
title: Occurrence Download

description: A dataset containing 6480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((153.44169 -28.11436,153.44117 -28.11592,153.44177 -28.11805,153.44153 -28.11905,153.44073 -28.11961,153.44001 -28.12117,153.44001 -28.12246,153.44033 -28.12394,153.44133 -28.1245,153.44217 -28.12482,153.44426 -28.12434,153.4447 -28.12322,153.44654 -28.12229,153.44867 -28.12089,153.45015 -28.12021,153.45111 -28.11708,153.44169 -28.11436))",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 6480 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031985-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.venczt
title: Occurrence Download

description: A dataset containing 401 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ilyodon furcidens"
 ]
}

 The dataset includes 401 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031986-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avsc4f
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (UAM Mammal Collection (Arctos), RBINS Mammal collection, RBINS DaRWIN, Field Museum of Natural History (Zoology) Mammal Collection, INSDC Sequences, Mammal collection of National Museum of Nature and Science, Observation.org, Nature data from around the World, NMNH Extant Specimen Records (USNM, US), Naturalis Biodiversity Center (NL) - Mammalia)",
 "TaxonKey is Dendrogale murina"
 ]
}

 The dataset's 1 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031983-251025141854904/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.30397894
title: <b>Summary of findings: thymosin-</b><b>ɑ</b><b>1 for people with chronic hepatitis B _not included for GRADE in protocol</b>

description: <b>Summary of Findings</b><br>
DOI: 10.6084/m9.figshare.30397894.v6
title: <b>Summary of findings: thymosin-</b><b>ɑ</b><b>1 for people with chronic hepatitis B _not included for GRADE in protocol</b>

description: <b>Summary of Findings</b><br>
DOI: 10.6084/m9.figshare.30397894.v5
title: <b>Summary of findings: thymosin-</b><b>ɑ</b><b>1 for people with chronic hepatitis B _not included for GRADE in protocol</b>

description: <b>Summary of Findings</b><br>
DOI: 10.15468/dl.hgb6d2
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-93.78648 14.31449,-89.94848 14.31449,-89.94848 18.27724,-93.78648 18.27724,-93.78648 14.31449))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Attalea cohune"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031988-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17604664
title: Fundamental Adaptivity: Foundations of the Adaptive Scalar Field Framework

description: This work explores a theoretical framework derived from fundamental field theories such as quintessence, introducing an adaptive vacuum scalar field that regulates the strength and behavior of fundamental interactions in the universe. The adaptive field dynamically couples to curvature and energy density, allowing spacetime and matter to mutually adjust their local properties. This approach aims to provide a coherent foundation for studying how variations in vacuum energy and coupling constants could emerge naturally from an underlying adaptive mechanism.
DOI: 10.5281/zenodo.17604665
title: Fundamental Adaptivity: Foundations of the Adaptive Scalar Field Framework

description: This work explores a theoretical framework derived from fundamental field theories such as quintessence, introducing an adaptive vacuum scalar field that regulates the strength and behavior of fundamental interactions in the universe. The adaptive field dynamically couples to curvature and energy density, allowing spacetime and matter to mutually adjust their local properties. This approach aims to provide a coherent foundation for studying how variations in vacuum energy and coupling constants could emerge naturally from an underlying adaptive mechanism.
DOI: 10.5281/zenodo.17602639
title: boltz2_DAVIS.tar.gz.part-00
DOI: 10.5281/zenodo.17602742
title: boltz2_DAVIS.tar.gz.part-00
DOI: 10.15468/dl.9heag3
title: Occurrence Download

description: A dataset containing 528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-120.02 41.95,-108.89 41.95,-108.89 47.61,-120.02 47.61,-120.02 41.95))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salix",
 "Year 2019-2025"
 ]
}

 The dataset includes 528 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031992-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjk7f9
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((71.90725 -45.26217,174.19297 -45.26217,174.19297 48.71283,71.90725 48.71283,71.90725 -45.26217))",
 "TaxonKey is Murex pecten"
 ]
}

 The dataset includes 296 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031994-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17601280
title: Dataset and scripts for the study "Forest cover structure, functionality, and dynamics in a human-modified Atlantic Forest–Cerrado ecotone landscape"

description: This dataset contains all geospatial and analytical materials supporting the article “Forest cover structure, functionality, and dynamics in a human-modified Atlantic Forest–Cerrado ecotone landscape”. The data refer to the Sarapuí River Basin (São Paulo State, Brazil) and encompass four main components:





Land-use, forest cover, and dynamics maps – Raster files derived from MapBiomas Collection 7 (1986–2021, 30 m resolution), including land-use/land-cover maps, forest cover maps, and raster layers identifying forest stability, gain, and loss events for each analyzed year.




Structural metrics (FRAGSTATS project) – Landscape metrics computed for each year (patch area, shape, nearest-neighbor distance) and their summary tables, used to quantify structural dynamics of forest patches.




Functional connectivity (GRAPHAB projects) – Project files and outputs of the Probability of Connectivity (PC) analyses performed for each year, including node and link attributes and interpolated PC surfaces.




R project and analysis scripts – The RStudio project folder and R scripts used for data processing, statistical analysis, and figure generation.



All spatial data use the SIRGAS 2000 / UTM Zone 23S coordinate reference system. File formats include GeoTIFF (.tif), shapefiles (.shp), CSV tables, txt files, and R scripts (R).
DOI: 10.5281/zenodo.17601281
title: Dataset and scripts for the study "Forest cover structure, functionality, and dynamics in a human-modified Atlantic Forest–Cerrado ecotone landscape"

description: This dataset contains all geospatial and analytical materials supporting the article “Forest cover structure, functionality, and dynamics in a human-modified Atlantic Forest–Cerrado ecotone landscape”. The data refer to the Sarapuí River Basin (São Paulo State, Brazil) and encompass four main components:





Land-use, forest cover, and dynamics maps – Raster files derived from MapBiomas Collection 7 (1986–2021, 30 m resolution), including land-use/land-cover maps, forest cover maps, and raster layers identifying forest stability, gain, and loss events for each analyzed year.




Structural metrics (FRAGSTATS project) – Landscape metrics computed for each year (patch area, shape, nearest-neighbor distance) and their summary tables, used to quantify structural dynamics of forest patches.




Functional connectivity (GRAPHAB projects) – Project files and outputs of the Probability of Connectivity (PC) analyses performed for each year, including node and link attributes and interpolated PC surfaces.




R project and analysis scripts – The RStudio project folder and R scripts used for data processing, statistical analysis, and figure generation.



All spatial data use the SIRGAS 2000 / UTM Zone 23S coordinate reference system. File formats include GeoTIFF (.tif), shapefiles (.shp), CSV tables, txt files, and R scripts (R).
DOI: 10.6084/m9.figshare.30615323
title: African Market OS-MVR API TypeScript Client

description: ### 🚀 MVR API TypeScript SDK — Version 2.6.0 Released<br>This is the first official release of the **African Market OS — Minimum Viable Relationships (MVR) API TypeScript Client**.<br>The SDK provides a modern, strongly-typed, production-ready interface for interacting with all **MVR v2.6.0-enterprise** API endpoints.<br>---<br>## 🔥 Features Included<br>### Core Endpoints- ✔ MVR Scores - ✔ Survey Aggregation - ✔ Trends & Relational Velocity - ✔ Forecasts & PMF Projections - ✔ Benchmarking - ✔ Insights - ✔ Market Temperature Index - ✔ Policy Multi-Audit <br>### System Utilities- ✔ Usage endpoint - ✔ Metadata endpoint - ✔ Health checks - ✔ “Who Am I” endpoint - ✔ Documentation endpoint <br>### Authentication- ✔ API Key (License + Buyer Email) - ✔ Session Tokens (via `withSession()`)<br>---<br>## 📦 Installation<br>```bashnpm install @africanmarketos/mvr-api-client<br>🧠 Quick Startimport { MVRApiClient } from '@africanmarketos/mvr-api-client';<br>// Initialize clientconst client = new MVRApiClient({ license: 'your-license-key', email: 'your@email.com'});<br>// Fetch MVR Scoresconst scores = await client.getScores('fintech');console.log('MVR Index:', scores.mvr_index);<br>🔐 Error Handling Exampletry { const result = await client.getScores();} catch (error) { if (error.error_code === 'RATE_LIMIT_EXCEEDED') { console.log(`Rate limited. Retry after ${error.retry_after}s`); }}<br>🔗 Licensing & Usage Policy<br>The SDK is MIT-licensed for free use.<br>However, the MVR Framework™ (methodology, diagnostics, terminology, and indices) follows the African Market OS Commercial & Referral Use Policy.<br>Machine-readable license:https://africanmarketos.com/.well-known/mvr-license.json<br>Commercial-use policy:https://africanmarketos.com/african-market-os-mvr-framework-commercial-referral-use-policy/<br>🤖 Automated Publishing<br>This release automatically triggers GitHub Actions to:<br>Build the SDK<br>Package it<br>Publish to npm under:@africanmarketos/mvr-api-client<br>No manual action required.<br>Thank you for using the MVR Framework™ ecosystem.For support, licensing, or partnerships, contact [info@africanmarketos.com]mailto:info@africanmarketos.com).<br>
DOI: 10.6084/m9.figshare.30615323.v1
title: African Market OS-MVR API TypeScript Client

description: ### 🚀 MVR API TypeScript SDK — Version 2.6.0 Released<br>This is the first official release of the **African Market OS — Minimum Viable Relationships (MVR) API TypeScript Client**.<br>The SDK provides a modern, strongly-typed, production-ready interface for interacting with all **MVR v2.6.0-enterprise** API endpoints.<br>---<br>## 🔥 Features Included<br>### Core Endpoints- ✔ MVR Scores - ✔ Survey Aggregation - ✔ Trends & Relational Velocity - ✔ Forecasts & PMF Projections - ✔ Benchmarking - ✔ Insights - ✔ Market Temperature Index - ✔ Policy Multi-Audit <br>### System Utilities- ✔ Usage endpoint - ✔ Metadata endpoint - ✔ Health checks - ✔ “Who Am I” endpoint - ✔ Documentation endpoint <br>### Authentication- ✔ API Key (License + Buyer Email) - ✔ Session Tokens (via `withSession()`)<br>---<br>## 📦 Installation<br>```bashnpm install @africanmarketos/mvr-api-client<br>🧠 Quick Startimport { MVRApiClient } from '@africanmarketos/mvr-api-client';<br>// Initialize clientconst client = new MVRApiClient({ license: 'your-license-key', email: 'your@email.com'});<br>// Fetch MVR Scoresconst scores = await client.getScores('fintech');console.log('MVR Index:', scores.mvr_index);<br>🔐 Error Handling Exampletry { const result = await client.getScores();} catch (error) { if (error.error_code === 'RATE_LIMIT_EXCEEDED') { console.log(`Rate limited. Retry after ${error.retry_after}s`); }}<br>🔗 Licensing & Usage Policy<br>The SDK is MIT-licensed for free use.<br>However, the MVR Framework™ (methodology, diagnostics, terminology, and indices) follows the African Market OS Commercial & Referral Use Policy.<br>Machine-readable license:https://africanmarketos.com/.well-known/mvr-license.json<br>Commercial-use policy:https://africanmarketos.com/african-market-os-mvr-framework-commercial-referral-use-policy/<br>🤖 Automated Publishing<br>This release automatically triggers GitHub Actions to:<br>Build the SDK<br>Package it<br>Publish to npm under:@africanmarketos/mvr-api-client<br>No manual action required.<br>Thank you for using the MVR Framework™ ecosystem.For support, licensing, or partnerships, contact [info@africanmarketos.com]mailto:info@africanmarketos.com).<br>
DOI: 10.15468/dl.v3ab7y
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-94.24924 14.17513,-89.27094 14.17513,-89.27094 18.15791,-94.24924 18.15791,-94.24924 14.17513))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bactris mexicana"
 ]
}

 The dataset includes 110 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031995-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17604678
title: Subsampled single cell BAMs from PRJNA665252

description: These are publicly available single cell BAM files that have been subsetted to aid in the development of bioinformatics pipelines for single cell data. The two subsampled files are the 10X single cell experiments from mouse p7 hippocampus. 

 

Bakulski KM, Dou JF, Thompson RC, Lee C, Middleton LY, Perera BPU, Ferris SP, Jones TR, Neier K, Zhou X, Sartor MA, Hammoud SS, Dolinoy DC, Colacino JA. Single-Cell Analysis of the Gene Expression Effects of Developmental Lead (Pb) Exposure on the Mouse Hippocampus. Toxicol Sci. 2020 Aug 1;176(2):396-409. doi: 10.1093/toxsci/kfaa069. PMID: 32458983; PMCID: PMC7416319.
DOI: 10.5281/zenodo.17604677
title: Subsampled single cell BAMs from PRJNA665252

description: These are publicly available single cell BAM files that have been subsetted to aid in the development of bioinformatics pipelines for single cell data. The two subsampled files are the 10X single cell experiments from mouse p7 hippocampus. 

 

Bakulski KM, Dou JF, Thompson RC, Lee C, Middleton LY, Perera BPU, Ferris SP, Jones TR, Neier K, Zhou X, Sartor MA, Hammoud SS, Dolinoy DC, Colacino JA. Single-Cell Analysis of the Gene Expression Effects of Developmental Lead (Pb) Exposure on the Mouse Hippocampus. Toxicol Sci. 2020 Aug 1;176(2):396-409. doi: 10.1093/toxsci/kfaa069. PMID: 32458983; PMCID: PMC7416319.
DOI: 10.15468/dl.3jc4ew
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is Colección de Herpetología del Instituto de Ciencias Naturales (ICN-MHN-Her)",
 "GadmGid is COL.2_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Hylidae"
 ]
}

 The dataset includes 307 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031996-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rt5ekr
title: Occurrence Download

description: A dataset containing 12489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((-131.34008 22.8754,-72.78246 22.8754,-72.78246 48.16165,-131.34008 48.16165,-131.34008 22.8754))",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Triadica sebifera"
 ]
}

 The dataset includes 12489 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031997-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.