GET /api/keywords/?format=api&offset=96600
HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "count": 97263,
    "next": "https://eartharxiv.org/api/keywords/?format=api&limit=100&offset=96700",
    "previous": "https://eartharxiv.org/api/keywords/?format=api&limit=100&offset=96500",
    "results": [
        {
            "word": "Quantum wave"
        },
        {
            "word": "Quantum Entanglement"
        },
        {
            "word": "Wave propogation"
        },
        {
            "word": "Otoacoustic"
        },
        {
            "word": "Wave function"
        },
        {
            "word": "Quantum physics"
        },
        {
            "word": "Penetrating chest trauma"
        },
        {
            "word": " Myocardial infarction"
        },
        {
            "word": " Left Anterior Descending artery"
        },
        {
            "word": "aerosol-cloud interaction"
        },
        {
            "word": "urban rainfall"
        },
        {
            "word": "islamabad"
        },
        {
            "word": "#Greenland #runoff #melting #coldblob #heatwaves #marineheatwaves #convectivestorms #Mediterranean #Europe"
        },
        {
            "word": "edge effects"
        },
        {
            "word": "forest hydrology"
        },
        {
            "word": "amazon"
        },
        {
            "word": " air temperature"
        },
        {
            "word": " clustering"
        },
        {
            "word": " regionalization"
        },
        {
            "word": " climate zones"
        },
        {
            "word": " trends"
        },
        {
            "word": "in-situ stations air temperature"
        },
        {
            "word": "Microplastics (MPs)"
        },
        {
            "word": " Water Treatment Plant (WTP)"
        },
        {
            "word": " Sewage Treatment Plant (STP)"
        },
        {
            "word": " Stereomicroscopy"
        },
        {
            "word": " Fourier Transform Infrared Spectroscopy (FTIR)"
        },
        {
            "word": " Scanning Electron Microscopy (SEM)"
        },
        {
            "word": " Low-cost Filtration"
        },
        {
            "word": " Sand-Char Filter"
        },
        {
            "word": "Water Treatment Plant (WTP)"
        },
        {
            "word": "Sewage Treatment Plant (STP)"
        },
        {
            "word": "Stereomicroscopy"
        },
        {
            "word": "Fourier Transform Infrared Spectroscopy (FTIR)"
        },
        {
            "word": "Scanning Electron Microscopy (SEM)"
        },
        {
            "word": "Low-cost Filtration"
        },
        {
            "word": "Sand-Char Filter"
        },
        {
            "word": "shocks"
        },
        {
            "word": "creeping changes"
        },
        {
            "word": "biosphere"
        },
        {
            "word": "dragonfly larvae"
        },
        {
            "word": " chemical cues"
        },
        {
            "word": " predator-prey naiveté"
        },
        {
            "word": " temporary ponds"
        },
        {
            "word": " reintroduction"
        },
        {
            "word": "Reflection"
        },
        {
            "word": "Componential Analysis"
        },
        {
            "word": "Multimodality meaning"
        },
        {
            "word": "Urdu-Hindi representations"
        },
        {
            "word": "Cross-Cultural Semantics"
        },
        {
            "word": "South Asian Linguistics"
        },
        {
            "word": "species-area"
        },
        {
            "word": "observation error"
        },
        {
            "word": "imperfect detection"
        },
        {
            "word": "#Greenland #runoff #melting #heatwaves #marineheatwaves #convectivestorms #Europe #Mediterranean"
        },
        {
            "word": "same-day contraceptive"
        },
        {
            "word": "long-acting contraceptives"
        },
        {
            "word": "needs-assessment"
        },
        {
            "word": " Hypoponera ergatandria"
        },
        {
            "word": " Monomorium sahlbergi"
        },
        {
            "word": " Trichomyrmex destructor"
        },
        {
            "word": " exotic ants"
        },
        {
            "word": " Canary Islands"
        },
        {
            "word": " Gran Canaria"
        },
        {
            "word": " La Palma"
        },
        {
            "word": " Tenerife."
        },
        {
            "word": "Evolution education"
        },
        {
            "word": "Evolutionary processes"
        },
        {
            "word": "conifer encroachment"
        },
        {
            "word": "oak woodlands"
        },
        {
            "word": "Academic carbon footprint"
        },
        {
            "word": " Climate action"
        },
        {
            "word": " Ecological transition"
        },
        {
            "word": " Climate delay discourses"
        },
        {
            "word": "climate discourse"
        },
        {
            "word": "entertainment media"
        },
        {
            "word": " film & television"
        },
        {
            "word": "text Analysis"
        },
        {
            "word": "large Language models (LLMs)"
        },
        {
            "word": "climate communication"
        },
        {
            "word": "overtime"
        },
        {
            "word": "herders"
        },
        {
            "word": "H-2A"
        },
        {
            "word": "sheep"
        },
        {
            "word": "goat"
        },
        {
            "word": " trauma room leadership"
        },
        {
            "word": " residency programs"
        },
        {
            "word": " digital engagement"
        },
        {
            "word": "residency program"
        },
        {
            "word": "Modern natural-language processing pipelines usually transform text into tokens"
        },
        {
            "word": " tokens into vectors"
        },
        {
            "word": " and vectors into downstream representations. Nevertheless"
        },
        {
            "word": " not every tokenization strategy has the same computational or semantic role. Byte-pair encoding (BPE) and related subword tokenizers are effective for language-model prediction"
        },
        {
            "word": "high-altitude balloon; vertical profiling; low-cost sensors; ultraviolet radiation; solar zenith angle; standard atmosphere; aerosol optical depth; Kota"
        },
        {
            "word": "megadunes"
        },
        {
            "word": "Trapped lee waves"
        },
        {
            "word": "Katabatic inversion"
        },
        {
            "word": "Wave resonance"
        },
        {
            "word": "Stratified flow"
        },
        {
            "word": "Internal gravity waves"
        }
    ]
}