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      "samples": 220
    },
    {
      "month": "2018-01",
      "samples": 359
    },
    {
      "month": "2018-02",
      "samples": 412
    },
    {
      "month": "2018-03",
      "samples": 655
    },
    {
      "month": "2018-04",
      "samples": 438
    },
    {
      "month": "2018-05",
      "samples": 777
    },
    {
      "month": "2018-06",
      "samples": 705
    },
    {
      "month": "2018-07",
      "samples": 826
    },
    {
      "month": "2018-08",
      "samples": 738
    },
    {
      "month": "2018-09",
      "samples": 804
    },
    {
      "month": "2018-10",
      "samples": 592
    },
    {
      "month": "2018-11",
      "samples": 376
    },
    {
      "month": "2018-12",
      "samples": 225
    },
    {
      "month": "2019-01",
      "samples": 421
    },
    {
      "month": "2019-02",
      "samples": 385
    },
    {
      "month": "2019-03",
      "samples": 704
    },
    {
      "month": "2019-04",
      "samples": 528
    },
    {
      "month": "2019-05",
      "samples": 759
    },
    {
      "month": "2019-06",
      "samples": 807
    },
    {
      "month": "2019-07",
      "samples": 1038
    },
    {
      "month": "2019-08",
      "samples": 1227
    },
    {
      "month": "2019-09",
      "samples": 772
    },
    {
      "month": "2019-10",
      "samples": 678
    },
    {
      "month": "2019-11",
      "samples": 332
    },
    {
      "month": "2019-12",
      "samples": 415
    },
    {
      "month": "2020-01",
      "samples": 83
    },
    {
      "month": "2020-02",
      "samples": 25
    },
    {
      "month": "2020-03",
      "samples": 90
    },
    {
      "month": "2020-04",
      "samples": 561
    },
    {
      "month": "2020-05",
      "samples": 712
    },
    {
      "month": "2020-06",
      "samples": 938
    },
    {
      "month": "2020-07",
      "samples": 764
    },
    {
      "month": "2020-08",
      "samples": 688
    },
    {
      "month": "2020-09",
      "samples": 850
    },
    {
      "month": "2020-10",
      "samples": 375
    },
    {
      "month": "2020-11",
      "samples": 291
    },
    {
      "month": "2020-12",
      "samples": 274
    },
    {
      "month": "2021-01",
      "samples": 453
    },
    {
      "month": "2021-02",
      "samples": 335
    },
    {
      "month": "2021-03",
      "samples": 880
    },
    {
      "month": "2021-04",
      "samples": 396
    },
    {
      "month": "2021-05",
      "samples": 913
    },
    {
      "month": "2021-06",
      "samples": 940
    },
    {
      "month": "2021-07",
      "samples": 934
    },
    {
      "month": "2021-08",
      "samples": 707
    },
    {
      "month": "2021-09",
      "samples": 454
    },
    {
      "month": "2021-10",
      "samples": 407
    },
    {
      "month": "2021-11",
      "samples": 489
    },
    {
      "month": "2021-12",
      "samples": 358
    },
    {
      "month": "2022-01",
      "samples": 408
    },
    {
      "month": "2022-02",
      "samples": 362
    },
    {
      "month": "2022-03",
      "samples": 694
    },
    {
      "month": "2022-04",
      "samples": 372
    },
    {
      "month": "2022-05",
      "samples": 755
    },
    {
      "month": "2022-06",
      "samples": 708
    },
    {
      "month": "2022-07",
      "samples": 680
    },
    {
      "month": "2022-08",
      "samples": 814
    },
    {
      "month": "2022-09",
      "samples": 700
    },
    {
      "month": "2022-10",
      "samples": 531
    },
    {
      "month": "2022-11",
      "samples": 368
    },
    {
      "month": "2022-12",
      "samples": 366
    },
    {
      "month": "2023-01",
      "samples": 499
    },
    {
      "month": "2023-02",
      "samples": 365
    },
    {
      "month": "2023-03",
      "samples": 711
    },
    {
      "month": "2023-04",
      "samples": 540
    },
    {
      "month": "2023-05",
      "samples": 911
    },
    {
      "month": "2023-06",
      "samples": 716
    },
    {
      "month": "2023-07",
      "samples": 745
    },
    {
      "month": "2023-08",
      "samples": 774
    },
    {
      "month": "2023-09",
      "samples": 658
    },
    {
      "month": "2023-10",
      "samples": 624
    },
    {
      "month": "2023-11",
      "samples": 355
    },
    {
      "month": "2023-12",
      "samples": 351
    },
    {
      "month": "2024-01",
      "samples": 578
    },
    {
      "month": "2024-02",
      "samples": 368
    },
    {
      "month": "2024-03",
      "samples": 726
    },
    {
      "month": "2024-04",
      "samples": 537
    },
    {
      "month": "2024-05",
      "samples": 788
    },
    {
      "month": "2024-06",
      "samples": 757
    },
    {
      "month": "2024-07",
      "samples": 1008
    },
    {
      "month": "2024-08",
      "samples": 701
    },
    {
      "month": "2024-09",
      "samples": 855
    },
    {
      "month": "2024-10",
      "samples": 784
    },
    {
      "month": "2024-11",
      "samples": 356
    },
    {
      "month": "2024-12",
      "samples": 341
    },
    {
      "month": "2025-01",
      "samples": 346
    },
    {
      "month": "2025-02",
      "samples": 275
    },
    {
      "month": "2025-03",
      "samples": 748
    },
    {
      "month": "2025-04",
      "samples": 518
    },
    {
      "month": "2025-05",
      "samples": 760
    },
    {
      "month": "2025-06",
      "samples": 810
    },
    {
      "month": "2025-07",
      "samples": 844
    },
    {
      "month": "2025-08",
      "samples": 701
    },
    {
      "month": "2025-09",
      "samples": 799
    },
    {
      "month": "2025-10",
      "samples": 758
    },
    {
      "month": "2025-11",
      "samples": 352
    },
    {
      "month": "2025-12",
      "samples": 340
    },
    {
      "month": "2026-01",
      "samples": 41
    },
    {
      "month": "2026-02",
      "samples": 10
    },
    {
      "month": "2026-03",
      "samples": 13
    },
    {
      "month": "2026-04",
      "samples": 33
    },
    {
      "month": "2026-05",
      "samples": 13
    },
    {
      "month": "2026-06",
      "samples": 16
    },
    {
      "month": "2026-07",
      "samples": 1
    }
  ],
  "stream_team": {
    "rows": 5282,
    "sites_with_data": 229,
    "site_master_rows": 0,
    "enterococcus": 0,
    "ecoli_values": 752,
    "has_lat_lon": true,
    "date_start": "1991-01-11",
    "date_end": "2026-05-02",
    "note": "Community-science WQ from coastal_data_all.csv; no Enterococcus; separate from WQX sqlite"
  },
  "data_gaps": [
    {
      "item": "Rapid kit lab tables (R-CARD / Coliscan / IDEXX pairs)",
      "status": "Not received"
    },
    {
      "item": "Optical brightener results",
      "status": "Not received"
    },
    {
      "item": "Port Arthur (Jefferson / Orange) WQX extract",
      "status": "Not in 14-county package"
    },
    {
      "item": "Stream Team latitude / longitude",
      "status": "Not in shared files"
    },
    {
      "item": "Integrated climate / tide project stack",
      "status": "Not received"
    }
  ],
  "focus_areas": [
    {
      "area": "Harris / Galveston",
      "enterococcus": "Strong",
      "wq_pairing": "Strong (many TCEQ sites)",
      "conclusion": "Viable"
    },
    {
      "area": "Nueces / Corpus Christi",
      "enterococcus": "Very strong beaches",
      "wq_pairing": "Thinner on many beaches",
      "conclusion": "Viable; note pairing limits"
    },
    {
      "area": "Palacios / Matagorda",
      "enterococcus": "Strong",
      "wq_pairing": "Beaches weak; creeks better",
      "conclusion": "Viable with caveats"
    },
    {
      "area": "Brownsville / Cameron",
      "enterococcus": "Strong beaches",
      "wq_pairing": "Mostly Ent-only on beaches",
      "conclusion": "Inventory OK; ML limited"
    },
    {
      "area": "Port Arthur",
      "enterococcus": "Not in extract",
      "wq_pairing": "\u2014",
      "conclusion": "Gap \u2014 request data"
    }
  ],
  "ml_readiness": {
    "rule": ">=50 Enterococcus days and >=2 core WQ predictors with >=30 same-day pairs",
    "marginal_rule": ">=30 Enterococcus days and >=1 core predictor with >=30 same-day pairs",
    "core_predictors": [
      "ph",
      "temperature",
      "specific_conductance",
      "oxygen",
      "salinity",
      "precipitation",
      "tss",
      "nitrogen",
      "phosphorus"
    ],
    "assessed_stations": 349,
    "ready": 111,
    "marginal": 69,
    "not_ready": 169,
    "by_network": {
      "glo": {
        "ready": 0,
        "marginal": 0,
        "not_ready": 169
      },
      "other": {
        "ready": 111,
        "marginal": 69,
        "not_ready": 0
      }
    },
    "source": "coastal_wq.sqlite",
    "note": "Refreshed from coastal_wq.sqlite. Assessed sites with \u226530 Enterococcus days. Beach Watch sites are often Enterococcus-only, so many fall in Not ready."
  },
  "ml_readiness_prior_audit": {
    "rule": ">=50 Enterococcus days and >=2 core WQ predictors with >=30 same-day pairs",
    "marginal_rule": ">=30 Enterococcus days and >=1 core predictor with >=30 same-day pairs",
    "core_predictors": [
      "ph",
      "temperature",
      "specific_conductance",
      "oxygen",
      "salinity",
      "precipitation",
      "tss",
      "nitrogen",
      "phosphorus"
    ],
    "assessed_stations": 349,
    "ready": 111,
    "marginal": 69,
    "not_ready": 169,
    "by_network": {
      "glo": {
        "ready": 0,
        "marginal": 0,
        "not_ready": 169
      },
      "other": {
        "ready": 111,
        "marginal": 69,
        "not_ready": 0
      }
    },
    "source": "coastal_wq.sqlite",
    "note": "Refreshed from coastal_wq.sqlite. Assessed sites with \u226530 Enterococcus days. Beach Watch sites are often Enterococcus-only, so many fall in Not ready."
  },
  "tokb_tools": [
    {
      "name": "Enterococcus time series",
      "url": "index.html"
    },
    {
      "name": "Enterococcus monthly counts",
      "url": "monthly_counts.html"
    },
    {
      "name": "Enterococcus stations map",
      "url": "stations_map.html"
    },
    {
      "name": "E. coli stations map",
      "url": "ecoli_stations_map.html"
    },
    {
      "name": "Environmental variables map",
      "url": "env_stations_map.html"
    },
    {
      "name": "Stream Team time series",
      "url": "stream_team/index.html"
    },
    {
      "name": "Stream Team monthly counts",
      "url": "stream_team/monthly_counts.html"
    },
    {
      "name": "Correlation CSVs",
      "url": "data/correlations/"
    }
  ]
}