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{
"count": 91403,
"next": "https://eartharxiv.org/api/keywords/?format=api&limit=100&offset=90300",
"previous": "https://eartharxiv.org/api/keywords/?format=api&limit=100&offset=90100",
"results": [
{
"word": "the study revealed an inextricable linkage between actors at the local"
},
{
"word": "national"
},
{
"word": "goechemistry"
},
{
"word": "marine pollution"
},
{
"word": "and international levels and environmental destruction. The study found that most of the sustainable development goals such as"
},
{
"word": "right to safe and clean drinking water"
},
{
"word": "destruction of farmlands"
},
{
"word": "food insecurity"
},
{
"word": "eradicating hunger and poverty"
},
{
"word": "amongst others have been significantly affected by the activities of illegal mining. The study thus recommended immediate policy interventions to remedy the situation before it reaches a tipping poin"
},
{
"word": "sustainable development; political ecology; political settlement; illegal mining; galamsey"
},
{
"word": "Trade openness"
},
{
"word": "Monetary policy shocks"
},
{
"word": "Structural vector auto regression (SVAR)"
},
{
"word": "Impulse response functions"
},
{
"word": "Fascia ilaca nerve block"
},
{
"word": "pain control"
},
{
"word": "hip injuries"
},
{
"word": "language"
},
{
"word": " translations"
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{
"word": " honorifics"
},
{
"word": " film"
},
{
"word": "coda wave Interferometry"
},
{
"word": "seismic interferometry"
},
{
"word": "ambient seismic noise"
},
{
"word": "subsurface monitoring"
},
{
"word": "spectral monitoring"
},
{
"word": "land surface temperature"
},
{
"word": "fractional vegetation cover"
},
{
"word": "green space accessibility"
},
{
"word": "urban green space"
},
{
"word": "temporal analysis"
},
{
"word": "Intraspecific variation"
},
{
"word": "Functional traits"
},
{
"word": "Plant-insect interactions"
},
{
"word": "Plant-pathogen interactions"
},
{
"word": "Elevation gradient"
},
{
"word": "Selective Sweep"
},
{
"word": " Convolutional Neural Network"
},
{
"word": "Information in evolution"
},
{
"word": "Mutual Information"
},
{
"word": "KL divergence"
},
{
"word": "Seasonal Variation"
},
{
"word": "Sentinel-5P"
},
{
"word": "Halda River"
},
{
"word": "Anomaly Detection"
},
{
"word": "Unsupervised Deep Learning"
},
{
"word": "Seasonal Analysis"
},
{
"word": " Surface mass budget"
},
{
"word": " Glacier fluctuations"
},
{
"word": "Surface mass budget"
},
{
"word": "Mass-balance reconstruction"
},
{
"word": "Glacier fluctuations"
},
{
"word": "Landslide Susceptibility"
},
{
"word": " Rangamati"
},
{
"word": " Spatial Sparsity"
},
{
"word": " DBSCAN"
},
{
"word": " Moran I"
},
{
"word": " Getis-Ord Gi*"
},
{
"word": " LSTM."
},
{
"word": "Greenland Ice Sheet"
},
{
"word": "mass change"
},
{
"word": "sea level"
},
{
"word": "Regime shift"
},
{
"word": "cross-ecosystem linkage"
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{
"word": "subtidal"
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{
"word": "GMTSAR"
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{
"word": "monotremata"
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{
"word": "mammalia"
},
{
"word": "prototheria"
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{
"word": "taxonomic rank"
},
{
"word": "cladistics"
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{
"word": "phylogenetic systematics"
},
{
"word": "reproductive evolution"
},
{
"word": "microplastic particles"
},
{
"word": "decontamination of water"
},
{
"word": " coagulation"
},
{
"word": "alum-based coagulants"
},
{
"word": "Marine litter detection"
},
{
"word": "CNN-Transformer"
},
{
"word": "Deep Learning"
},
{
"word": "lightweight model"
},
{
"word": "Computer Vision"
},
{
"word": "sponsor communication"
},
{
"word": " sports marketing"
},
{
"word": " obstacle course races"
},
{
"word": " purchase intention"
},
{
"word": "Coastal man-land system"
},
{
"word": "Spatial resilience"
},
{
"word": "Interpretable machine learning"
},
{
"word": "Southeastern coastal region"
},
{
"word": "variation"
},
{
"word": "Roth score"
},
{
"word": " ESI"
},
{
"word": " MTS"
},
{
"word": "dyspnea"
},
{
"word": "MTS"
},
{
"word": "Vaccine hesitancy"
},
{
"word": " vaccine acceptance"
},
{
"word": " disease resurgence"
}
]
}