cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/4fdcd0d982860026c1d790e72f446415
title: Net Ecosystem Carbon Balance of Grazing Lands across the continental United States, 2013-2023

description: Grazing lands underpin U.S. beef production, store roughly one-third of global soil organic carbon, deliver multiple ecosystem services, and are closely tied to the prosperity and resilience of rural communities. In this study, we calculated net ecosystem carbon balance (NECB), the net status of grazing lands as a carbon sink or source, by integrating carbon uptake from photosynthesis, and carbon loss through ecosystem respiration, enteric fermentation and manure from livestock. Our objective was to synthesize multiple years of annual NECB of grazing lands measured by eddy covariance towers from 16 pastures across seven USDA Long-term Agroecosystem Research Network (LTAR) sites and enteric fermentation and manure emissions derived from the stocking rates. We evaluated annual NECB against mean annual precipitation (MAP), mean annual temperature (MAT), vegetation, soil, fire history, grazing pressure index (GPI) and fertilization history. We found: (1) grazing lands were a carbon sink or neutral in most sites, and NECB was not significantly different between grasslands and shrublands, mesic and xeric conditions, and fertilized and unfertilized sites; (2) NECB increased with precipitation and temperature, but decreased with a higher GPI; and (3) precipitation, temperature, and GPI interacted such that temperature had a positive effect when MAP was greater than 700 mm and GPI had a negative effect when MAP was less than 1000 mm. Thus, most grazing lands in our study function as a carbon sink unless coupled with water deficit, low temperature, or heavy grazing. NECB is most sensitive to precipitation when water was limited with high interannual variability. Future work to improve our understanding of NECB on grazing lands should directly measure enteric fermentation and ecosystem emissions in different systems and add measurements on carbon loss through wind erosion and leaching.
DOI: 10.5281/zenodo.18145100
title: Data and Simulation Models for Fault-Tolerant Quantum–AI Deep-Space Autonomy

description: This repository contains supporting material and documentation for simulation-basedresults presented in the associated paper. The work focuses on a fault-tolerantquantum–AI hybrid architecture for autonomous decision-making in deep-space missions.
DOI: 10.5281/zenodo.18261307
title: Data and Simulation Models for Fault-Tolerant Quantum–AI Deep-Space Autonomy

description: This repository contains supporting material and documentation for simulation-basedresults presented in the associated paper. The work focuses on a fault-tolerantquantum–AI hybrid architecture for autonomous decision-making in deep-space missions.
DOI: 10.15468/dl.22m7f9
title: Occurrence Download

description: A dataset containing 300298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantago media",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 300298 records from 1382 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012439-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/2efdkh/jj0b9h
title: WET (Channel 1) 284 - 00025.tif
DOI: 10.13130/rd_unimi/2efdkh/ha2lsk
title: secondfibre_009.tif
DOI: 10.13130/rd_unimi/2efdkh/rsvdw4
title: 3_002.tif
DOI: 10.13130/rd_unimi/2efdkh/4hoom8
title: WET (Channel 1) 288 - 00028.tif
DOI: 10.13130/rd_unimi/2efdkh/nqq5hm
title: WET (Channel 1) 288 - 00008.tif
DOI: 10.13130/rd_unimi/2efdkh/ty8pqf
title: WET (Channel 1) 282 - 00048.tif
DOI: 10.13130/rd_unimi/2efdkh/fzhtft
title: fibreafterdissolution_002.tif
DOI: 10.13130/rd_unimi/2efdkh/p6fbyl
title: WET (Channel 1) 287 - 00003.tif
DOI: 10.13130/rd_unimi/2efdkh/pwawpv
title: secondfibre_016.tif
DOI: 10.13130/rd_unimi/2efdkh/8fwo6n
title: WET (Channel 1) 282 - 00015.tif
DOI: 10.13130/rd_unimi/2efdkh/lsezpo
title: WET (Channel 1) 288 - 00015.tif
DOI: 10.13130/rd_unimi/2efdkh/grggex
title: WET (Channel 1) 281 - 00005.tif
DOI: 10.13130/rd_unimi/2efdkh/mnqhbm
title: aftersecondflooding_001.tif
DOI: 10.13130/rd_unimi/2efdkh/1ymefo
title: WET (Channel 1) 288 - 00012.tif
DOI: 10.13130/rd_unimi/2efdkh/inr6ke
title: flood1.tif
DOI: 10.13130/rd_unimi/2efdkh/7vm5ij
title: secondfibre_010.tif
DOI: 10.13130/rd_unimi/2efdkh/ntsglw
title: WET (Channel 1) 281 - 00043.tif
DOI: 10.13130/rd_unimi/2efdkh/xr28n2
title: WET (Channel 1) 284 - 00001.tif
DOI: 10.13130/rd_unimi/2efdkh/jmdfwl
title: WET (Channel 1) 283 - 00052.tif
DOI: 10.13130/rd_unimi/2efdkh/xbiaed
title: WET (Channel 1) 287 - 00032.tif
DOI: 10.13130/rd_unimi/2efdkh/o5piyf
title: WET (Channel 1) 284 - 00041.tif
DOI: 10.13130/rd_unimi/2efdkh/kf6hy6
title: WET (Channel 1) 283 - 00016.tif
DOI: 10.13130/rd_unimi/2efdkh/m0kkgu
title: WET (Channel 1) 283 - 00019.tif
DOI: 10.13130/rd_unimi/2efdkh/ui8jaf
title: WET (Channel 1) 289 - 00014.tif
DOI: 10.13130/rd_unimi/2efdkh/fllo75
title: WET (Channel 1) 286 - 00002.tif
DOI: 10.13130/rd_unimi/2efdkh/rjes8r
title: WET (Channel 1) 281 - 00025.tif
DOI: 10.5281/zenodo.17635253
title: Topic Modelling Data for Gender Ethnicity Dynamics in the Uk and South Africa
DOI: 10.5281/zenodo.17635254
title: Topic Modelling Data for Gender Ethnicity Dynamics in the Uk and South Africa
DOI: 10.13130/rd_unimi/2efdkh/8lvjkn
title: WET (Channel 1) 281 - 00010.tif
DOI: 10.13130/rd_unimi/2efdkh/x1tm6v
title: WET (Channel 1) 286 - 00031.tif
DOI: 10.13130/rd_unimi/2efdkh/jwaafc
title: WET (Channel 1) 287 - 00030.tif
DOI: 10.13130/rd_unimi/2efdkh/g2pcsy
title: WET (Channel 1) 285 - 00011.tif
DOI: 10.13130/rd_unimi/2efdkh/zljvpg
title: WET (Channel 1) 281 - 00004.tif
DOI: 10.13130/rd_unimi/2efdkh/6r5jfv
title: WET (Channel 1) 281 - 00047.tif
DOI: 10.13130/rd_unimi/2efdkh/wan6hr
title: WET (Channel 1) 285 - 00013.tif
DOI: 10.13130/rd_unimi/2efdkh/dijgk6
title: WET (Channel 1) 287 - 00022.tif
DOI: 10.13130/rd_unimi/2efdkh/fgojhl
title: WET (Channel 1) 281 - 00003.tif
DOI: 10.13130/rd_unimi/2efdkh/vmmuim
title: WET (Channel 1) 282 - 00045.tif
DOI: 10.13130/rd_unimi/2efdkh/3vtgud
title: WET (Channel 1) 281 - 00036.tif
DOI: 10.13130/rd_unimi/2efdkh/usvoan
title: WET (Channel 1) 282 - 00042.tif
DOI: 10.13130/rd_unimi/2efdkh/zkifbh
title: WET (Channel 1) 287 - 00040.tif
DOI: 10.13130/rd_unimi/2efdkh/lmqwr8
title: WET (Channel 1) 283 - 00013.tif
DOI: 10.13130/rd_unimi/2efdkh/kournf
title: POS1_60.tif
DOI: 10.13130/rd_unimi/2efdkh/buxh4f
title: WET (Channel 1) 282 - 00031.tif
DOI: 10.13130/rd_unimi/2efdkh/pcbkgs
title: WET (Channel 1) 288 - 00027.tif
DOI: 10.13130/rd_unimi/2efdkh/eizznz
title: WET (Channel 1) 288 - 00004.tif
DOI: 10.13130/rd_unimi/2efdkh/prk83c
title: WET (Channel 1) 282 - 00037.tif
DOI: 10.13130/rd_unimi/2efdkh/njelmu
title: WET (Channel 1) 287 - 00042.tif
DOI: 10.13130/rd_unimi/2efdkh/fhhrys
title: WET (Channel 1) 286 - 00016.tif
DOI: 10.13130/rd_unimi/2efdkh/rfb4kn
title: WET (Channel 1) 287 - 00049.tif
DOI: 10.13130/rd_unimi/2efdkh/lb1z5u
title: WET (Channel 1) 283 - 00006.tif
DOI: 10.13130/rd_unimi/2efdkh/xxxroy
title: WET (Channel 1) 284 - 00013.tif
DOI: 10.13130/rd_unimi/2efdkh/muimqg
title: WET (Channel 1) 282 - 00028.tif
DOI: 10.13130/rd_unimi/2efdkh/olfgau
title: WET (Channel 1) 284 - 00046.tif
DOI: 10.13130/rd_unimi/2efdkh/9pusry
title: POS2_85.tif
DOI: 10.13130/rd_unimi/2efdkh/txpywe
title: WET (Channel 1) 287 - 00050.tif
DOI: 10.13130/rd_unimi/2efdkh/9unwdj
title: WET (Channel 1) 287 - 00053.tif
DOI: 10.13130/rd_unimi/2efdkh/hynyvu
title: WET (Channel 1) 285 - 00010.tif
DOI: 10.13130/rd_unimi/2efdkh/ckt2lk
title: WET (Channel 1) 284 - 00034.tif
DOI: 10.13130/rd_unimi/2efdkh/2wqyij
title: WET (Channel 1) 287 - 00008.tif
DOI: 10.13130/rd_unimi/2efdkh/tvbdzf
title: POS2_90.tif
DOI: 10.13130/rd_unimi/2efdkh/qajn7m
title: fibreafterdissolution.bmp
DOI: 10.13130/rd_unimi/2efdkh/rki3jp
title: secondfibre_024.tif
DOI: 10.13130/rd_unimi/2efdkh/pyki0e
title: secondfibre_021.tif
DOI: 10.13130/rd_unimi/2efdkh/ssufwh
title: dopa6.tif
DOI: 10.13130/rd_unimi/2efdkh/pdilt6
title: 4.tif
DOI: 10.13130/rd_unimi/2efdkh/wjgkfn
title: WET (Channel 1) 288 - 00014.tif
DOI: 10.13130/rd_unimi/2efdkh/jmigud
title: WET (Channel 1) 287 - 00009.tif
DOI: 10.13130/rd_unimi/2efdkh/mb5g1w
title: WET (Channel 1) 286 - 00011.tif
DOI: 10.13130/rd_unimi/2efdkh/zd8nke
title: secondfibre_033.tif
DOI: 10.15468/dl.neep32
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039944-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/2efdkh/nrsgrq
title: WET (Channel 1) 287 - 00029.tif
DOI: 10.13130/rd_unimi/2efdkh/mymlcm
title: 1_001.tif
DOI: 10.13130/rd_unimi/2efdkh/ovagtr
title: WET (Channel 1) 283 - 00004.tif
DOI: 10.13130/rd_unimi/2efdkh/kgixrk
title: WET (Channel 1) 286 - 00027.tif
DOI: 10.13130/rd_unimi/2efdkh/wxuxz5
title: pos1_90.tif
DOI: 10.13130/rd_unimi/2efdkh/tib4bf
title: WET (Channel 1) 283 - 00048.tif
DOI: 10.13130/rd_unimi/2efdkh/mc0nqz
title: pos1_95.tif
DOI: 10.13130/rd_unimi/2efdkh/gkff71
title: WET (Channel 1) 281 - 00012.tif
DOI: 10.13130/rd_unimi/2efdkh/58ze0g
title: WET (Channel 1) 286 - 00015.tif
DOI: 10.13130/rd_unimi/2efdkh/b7zgf8
title: WET (Channel 1) 287 - 00010.tif
DOI: 10.13130/rd_unimi/2efdkh/mjs5un
title: POS3_85.tif
DOI: 10.13130/rd_unimi/2efdkh/k8en2j
title: WET (Channel 1) 288 - 00021.tif
DOI: 10.13130/rd_unimi/2efdkh/mwdc1f
title: random_after1flood.tif
DOI: 10.34740/kaggle/dsv/13770364
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.13130/rd_unimi/2efdkh/xsxw0z
title: drop.bmp
DOI: 10.13130/rd_unimi/2efdkh/cwmfxm
title: WET (Channel 1) 284 - 00049.tif
DOI: 10.13130/rd_unimi/2efdkh/2sjztn
title: pos1_70.tif
DOI: 10.13130/rd_unimi/2efdkh/6q1h25
title: WET (Channel 1) 288 - 00011.tif
DOI: 10.13130/rd_unimi/2efdkh/u3qlgv
title: pos2_40.tif
DOI: 10.13130/rd_unimi/2efdkh/4zwccg
title: WET (Channel 1) 288 - 00001.tif
DOI: 10.15468/dl.gmeh3f
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "GadmGid is CAN.11_1",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039946-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/2efdkh/e6tpo3
title: pos1_after1flood_001.tif
DOI: 10.13130/rd_unimi/2efdkh/14opic
title: WET (Channel 1) 284 - 00017.tif
DOI: 10.13130/rd_unimi/2efdkh/3hfwai
title: fibreafterdissolution_003.tif
DOI: 10.13130/rd_unimi/2efdkh/vrvorq
title: WET (Channel 1) 283 - 00045.tif
DOI: 10.13130/rd_unimi/2efdkh/x8clmx
title: WET (Channel 1) 288 - 00022.tif
DOI: 10.13130/rd_unimi/2efdkh/eraqcf
title: WET (Channel 1) 288 - 00033.tif
DOI: 10.13130/rd_unimi/2efdkh/obnevy
title: WET (Channel 1) 287 - 00026.tif
DOI: 10.13130/rd_unimi/2efdkh/s49dfd
title: WET (Channel 1) 284 - 00012.tif
DOI: 10.13130/rd_unimi/2efdkh/kyj1s7
title: WET (Channel 1) 285 - 00009.tif
DOI: 10.13130/rd_unimi/2efdkh/4emjap
title: WET (Channel 1) 286 - 00019.tif
DOI: 10.13130/rd_unimi/2efdkh/bv82zd
title: WET (Channel 1) 282 - 00009.tif
DOI: 10.13130/rd_unimi/2efdkh/bsj0ak
title: WET (Channel 1) 283 - 00043.tif
DOI: 10.13130/rd_unimi/2efdkh/rwqphx
title: WET (Channel 1) 282 - 00013.tif
DOI: 10.13130/rd_unimi/2efdkh/yf6i0x
title: WET (Channel 1) 282 - 00034.tif
DOI: 10.13130/rd_unimi/2efdkh/wwzrw2
title: WET (Channel 1) 286 - 00039.tif
DOI: 10.13130/rd_unimi/2efdkh/65qkvb
title: WET (Channel 1) 282 - 00044.tif
DOI: 10.13130/rd_unimi/2efdkh/9rqqsi
title: POS2.tif
DOI: 10.13130/rd_unimi/2efdkh/1nnhgt
title: WET (Channel 1) 283 - 00028.tif
DOI: 10.13130/rd_unimi/2efdkh/ij2vu4
title: POS3_AFTERFLOOD.tif
DOI: 10.13130/rd_unimi/2efdkh/qyocxx
title: WET (Channel 1) 284 - 00007.tif
DOI: 10.13130/rd_unimi/2efdkh/fbr8mf
title: 1_003.tif
DOI: 10.13130/rd_unimi/2efdkh/psoyaj
title: WET (Channel 1) 283 - 00010.tif
DOI: 10.13130/rd_unimi/2efdkh/hi1arv
title: WET (Channel 1) 282 - 00050.tif
DOI: 10.13130/rd_unimi/2efdkh/lpxtkd
title: WET (Channel 1) 284 - 00004.tif
DOI: 10.13130/rd_unimi/2efdkh/hblbpg
title: pos1_80.tif
DOI: 10.13130/rd_unimi/2efdkh/py03ye
title: WET (Channel 1) 284 - 00003.tif
DOI: 10.13130/rd_unimi/2efdkh/t2zhho
title: WET (Channel 1) 282 - 00020.tif
DOI: 10.13130/rd_unimi/2efdkh/matyin
title: WET (Channel 1) 286 - 00023.tif
DOI: 10.13130/rd_unimi/2efdkh/2eiumr
title: WET (Channel 1) 284 - 00039.tif
DOI: 10.13130/rd_unimi/2efdkh/5pbzrk
title: WET (Channel 1) 287 - 00015.tif
DOI: 10.13130/rd_unimi/2efdkh/viflba
title: WET (Channel 1) 284 - 00016.tif
DOI: 10.13130/rd_unimi/2efdkh/2rzn3y
title: WET (Channel 1) 289 - 00013.tif
DOI: 10.13130/rd_unimi/2efdkh/wphhwe
title: WET (Channel 1) 289 - 00005.tif
DOI: 10.13130/rd_unimi/2efdkh/bi53x2
title: WET (Channel 1) 287 - 00025.tif
DOI: 10.13130/rd_unimi/2efdkh/nb9q8n
title: WET (Channel 1) 284 - 00029.tif
DOI: 10.13130/rd_unimi/2efdkh/m0bzq0
title: dopa1.tif
DOI: 10.13130/rd_unimi/2efdkh/rqzdqp
title: WET (Channel 1) 284 - 00031.tif
DOI: 10.13130/rd_unimi/2efdkh/zn4rlj
title: WET (Channel 1) 281 - 00050.tif
DOI: 10.13130/rd_unimi/2efdkh/wwz6it
title: needlefibre.bmp
DOI: 10.13130/rd_unimi/2efdkh/znovxw
title: WET (Channel 1) 288 - 00020.tif
DOI: 10.13130/rd_unimi/2efdkh/sagak6
title: WET (Channel 1) 282 - 00029.tif
DOI: 10.13130/rd_unimi/2efdkh/mrfqwp
title: WET (Channel 1) 287 - 00005.tif
DOI: 10.13130/rd_unimi/2efdkh/9p13uo
title: POS1_FAR.tif
DOI: 10.13130/rd_unimi/2efdkh/4vaypv
title: WET (Channel 1) 282 - 00022.tif
DOI: 10.13130/rd_unimi/2efdkh/e9pxvf
title: WET (Channel 1) 284 - 00022.tif
DOI: 10.13130/rd_unimi/2efdkh/9avl9b
title: WET (Channel 1) 287 - 00048.tif
DOI: 10.13130/rd_unimi/2efdkh/08jmmv
title: WET (Channel 1) 282 - 00041.tif
DOI: 10.13130/rd_unimi/2efdkh/4guahg
title: WET (Channel 1) 288 - 00005.tif
DOI: 10.13130/rd_unimi/2efdkh/x4stnr
title: dopa7.tif
DOI: 10.13130/rd_unimi/2efdkh/rjaibx
title: WET (Channel 1) 282 - 00016.tif
DOI: 10.13130/rd_unimi/2efdkh/ygwh22
title: WET (Channel 1) 287 - 00017.tif
DOI: 10.13130/rd_unimi/2efdkh/rietb5
title: secondfibre2.bmp
DOI: 10.13130/rd_unimi/2efdkh/go07j5
title: WET (Channel 1) 281 - 00020.tif
DOI: 10.13130/rd_unimi/2efdkh/kg69k7
title: WET (Channel 1) 282 - 00051.tif
DOI: 10.13130/rd_unimi/2efdkh/kjpww4
title: WET (Channel 1) 283 - 00038.tif
DOI: 10.13130/rd_unimi/2efdkh/uuwxle
title: WET (Channel 1) 285 - 00005.tif
DOI: 10.13130/rd_unimi/2efdkh/kawjge
title: WET (Channel 1) 289 - 00001.tif
DOI: 10.13130/rd_unimi/2efdkh/msn8s7
title: WET (Channel 1) 281 - 00032.tif
DOI: 10.13130/rd_unimi/2efdkh/jgmo6w
title: WET (Channel 1) 281 - 00022.tif
DOI: 10.13130/rd_unimi/2efdkh/btsk5s
title: WET (Channel 1) 282 - 00025.tif
DOI: 10.13130/rd_unimi/2efdkh/7vyaa2
title: POS3_FAR.tif
DOI: 10.13130/rd_unimi/2efdkh/ngvrpx
title: secondfibre_032.tif
DOI: 10.13130/rd_unimi/2efdkh/wdqlqb
title: pos1_after1flood.tif
DOI: 10.13130/rd_unimi/2efdkh/ko6bdb
title: WET (Channel 1) 283 - 00047.tif
DOI: 10.13130/rd_unimi/2efdkh/wyq0ob
title: POS3_95.tif
DOI: 10.13130/rd_unimi/2efdkh/bm4tqx
title: WET (Channel 1) 283 - 00042.tif
DOI: 10.13130/rd_unimi/2efdkh/n1ncnk
title: WET (Channel 1) 281 - 00014.tif
DOI: 10.13130/rd_unimi/2efdkh/joo36b
title: WET (Channel 1) 289 - 00012.tif
DOI: 10.13130/rd_unimi/2efdkh/fbreba
title: WET (Channel 1) 282 - 00017.tif
DOI: 10.13130/rd_unimi/2efdkh/8zsp0w
title: d_004.tif
DOI: 10.13130/rd_unimi/2efdkh/cyzwer
title: WET (Channel 1) 281 - 00030.tif
DOI: 10.13130/rd_unimi/2efdkh/5m2kdh
title: WET (Channel 1) 282 - 00010.tif
DOI: 10.13130/rd_unimi/2efdkh/bik6ac
title: WET (Channel 1) 288 - 00030.tif
DOI: 10.13130/rd_unimi/2efdkh/jenys8
title: 1_002.tif
DOI: 10.13130/rd_unimi/2efdkh/br2rn5
title: WET (Channel 1) 287 - 00059.tif
DOI: 10.13130/rd_unimi/2efdkh/q6q4ue
title: secondfibre_008.tif
DOI: 10.13130/rd_unimi/2efdkh/bidej8
title: WET (Channel 1) 284 - 00052.tif
DOI: 10.13130/rd_unimi/2efdkh/l9bufy
title: WET (Channel 1) 287 - 00052.tif
DOI: 10.13130/rd_unimi/2efdkh/bkdbbp
title: WET (Channel 1) 282 - 00021.tif
DOI: 10.13130/rd_unimi/2efdkh/flqt0p
title: 3.tif
DOI: 10.13130/rd_unimi/2efdkh/uaat9d
title: WET (Channel 1) 287 - 00021.tif
DOI: 10.13130/rd_unimi/2efdkh/epc7yn
title: flood.tif
DOI: 10.13130/rd_unimi/2efdkh/kutleu
title: WET (Channel 1) 282 - 00057.tif
DOI: 10.13130/rd_unimi/2efdkh/clkqig
title: WET (Channel 1) 282 - 00026.tif
DOI: 10.13130/rd_unimi/2efdkh/tqjgzl
title: WET (Channel 1) 286 - 00014.tif
DOI: 10.13130/rd_unimi/2efdkh/46sfpi
title: secondfibre_015.tif
DOI: 10.13130/rd_unimi/2efdkh/3pvooo
title: WET (Channel 1) 287 - 00007.tif
DOI: 10.13130/rd_unimi/2efdkh/k0q7x0
title: WET (Channel 1) 282 - 00038.tif
DOI: 10.13130/rd_unimi/2efdkh/npg0fk
title: dopa5.tif
DOI: 10.13130/rd_unimi/2efdkh/zmg1mk
title: WET (Channel 1) 282 - 00061.tif
DOI: 10.13130/rd_unimi/2efdkh/0ul1cz
title: POS3_90.tif
DOI: 10.13130/rd_unimi/2efdkh/tsfyic
title: WET (Channel 1) 282 - 00047.tif
DOI: 10.13130/rd_unimi/2efdkh/cnzuw9
title: WET (Channel 1) 282 - 00002.tif
DOI: 10.13130/rd_unimi/2efdkh/n3f4ge
title: OTHERAREA.tif
DOI: 10.13130/rd_unimi/2efdkh/d5wqsi
title: WET (Channel 1) 283 - 00021.tif
DOI: 10.13130/rd_unimi/2efdkh/t3gysj
title: WET (Channel 1) 283 - 00005.tif
DOI: 10.13130/rd_unimi/2efdkh/c80gdu
title: RA.tif
DOI: 10.13130/rd_unimi/2efdkh/cwwthl
title: WET (Channel 1) 281 - 00016.tif
DOI: 10.13130/rd_unimi/2efdkh/wujrp0
title: WET (Channel 1) 282 - 00046.tif
DOI: 10.13130/rd_unimi/2efdkh/zykbcq
title: WET (Channel 1) 287 - 00016.tif
DOI: 10.13130/rd_unimi/2efdkh/m0m4tx
title: materialclosetofibre.bmp
DOI: 10.13130/rd_unimi/2efdkh/hrlpya
title: WET (Channel 1) 284 - 00043.tif
DOI: 10.13130/rd_unimi/2efdkh/n3c7m9
title: WET (Channel 1) 288 - 00017.tif
DOI: 10.13130/rd_unimi/2efdkh/tskwlu
title: aftersecondflooding.tif
DOI: 10.13130/rd_unimi/2efdkh/mzfr4g
title: WET (Channel 1) 281 - 00040.tif
DOI: 10.13130/rd_unimi/2efdkh/ztowvw
title: WET (Channel 1) 281 - 00045.tif
DOI: 10.13130/rd_unimi/2efdkh/mazucz
title: WET (Channel 1) 284 - 00058.tif
DOI: 10.13130/rd_unimi/2efdkh/nm4ooe
title: WET (Channel 1) 281 - 00034.tif
DOI: 10.13130/rd_unimi/2efdkh/1yztqi
title: WET (Channel 1) 288 - 00024.tif
DOI: 10.13130/rd_unimi/2efdkh/hg5eti
title: WET (Channel 1) 286 - 00012.tif
DOI: 10.13130/rd_unimi/2efdkh/ppy0w8
title: RA_2FLOOD.tif
DOI: 10.13130/rd_unimi/2efdkh/yo76q3
title: WET (Channel 1) 286 - 00030.tif
DOI: 10.13130/rd_unimi/2efdkh/fxcbwn
title: WET (Channel 1) 287 - 00056.tif
DOI: 10.5281/zenodo.17635265
title: A Conceptual Framework for an Innovative Hybrid Ocean Energy Harvesting Technology: Harnessing Waves, Tides, Thermal Gradients, and Salinity for Sustainable, Stable, and Cost-Effective Electricity Generation

description: This paper presents a rigorous conceptual framework for a hybrid ocean energy harvesting system (HOEHS) that integrates wave, tidal, closed-cycle ocean thermal energy conversion (OTEC), and salinity gradient (blue) energy technologies, integrated with reverse osmosis (RO) desalination for salinity sourcing. Leveraging bio-inspired nanomaterials for corrosion and biofouling mitigation in hypersaline environments, AI-driven reinforcement learning (RL) control with a multi-objective function optimizes net power output, minimizes structural stress, and ensures grid stability. Multi-physics modeling incorporates advanced derivations for coupled energy flux, stochastic wave spectra, net OTEC accounting for 35% parasitic losses, and hybrid efficiency η_HOEHS > 30%. A reproducible Python simulation, verified via numerical integration against ECMWF reanalysis data, projects mean power of 5.1 kW and capacity factor (CF) of 25.4% under Red Sea conditions (H_s ~ 0.5-1.5 m, ΔT=12°C, ΔS=70 psu), incorporating dynamic variations in tidal cycles, seasonal thermal gradients, and wave statistics with FSI corrections. Supported by Monte Carlo sensitivity analysis (σ_P / μ_P = 12%), Gaussian process-based Bayesian inference for parameter posterior estimation (MAP H_s=0.9 m, 95% CI: 0.7--1.1 m), epistemic uncertainty quantification via KL divergence (0.12 nats), and model form uncertainty assessment via ensemble CFD-BEM comparisons (bias <5%). Popperian falsifiability criteria (reject if CF <20% at p<0.05). Red Sea-specific environmental mitigations include deep OTEC discharge and nanomaterial coatings. Grid integration via unified power converters and hydraulic storage ensures IEEE 1547 compliance. A phased roadmap projects LCOE <$0.10/kWh by 2035, driven by 30% OPEX reductions from predictive AI maintenance and durable composites. This framework advances sustainable ocean energy, addressing intermittency with unprecedented depth and precision, extendable to Gulf of Aden applications, with potential to unlock 2--4 TW global ocean renewables for decarbonization.
DOI: 10.13130/rd_unimi/2efdkh/0ijcpx
title: WET (Channel 1) 283 - 00051.tif
DOI: 10.13130/rd_unimi/2efdkh/nisett
title: WET (Channel 1) 283 - 00029.tif
DOI: 10.13130/rd_unimi/2efdkh/6r0mdb
title: WET (Channel 1) 284 - 00035.tif
DOI: 10.13130/rd_unimi/2efdkh/jzfn3q
title: WET (Channel 1) 287 - 00014.tif
DOI: 10.13130/rd_unimi/2efdkh/djmjk3
title: WET (Channel 1) 284 - 00030.tif
DOI: 10.15468/dl.ag3up7
title: Occurrence Download

description: A dataset containing 60601265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA, CAN, GRL, ISL, PRT, ESP, AND, FRA, BEL, NLD, GBR, IRL, CHE, DEU, ITA, SVN, HRV, BIH, MNE, ALB, GRC, MKD, XKO, SRB, BGR, ROU, MDA, HUN, SVK, AUT, CZE, POL, LTU, BLR, UKR, LVA, EST, FIN, SWE, NOR, DNK, ALA)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Noctuidae, Erebidae, Saturniidae, Sphingidae, Nolidae, Euteliidae, Notodontidae, Geometridae)"
 ]
}

 The dataset includes 60601265 records from 4731 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039923-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15272577
title: Must Whatever Goes up Come Down? Mortality Gradients in the Emergence of COVID-19
DOI: 10.5281/zenodo.15272578
title: Must Whatever Goes up Come Down? Mortality Gradients in the Emergence of COVID-19