Add files using upload-large-folder tool

.gitattributes

@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+stead/stead_100hz_60s_all_meta.csv filter=lfs diff=lfs merge=lfs -text
+stead/train/stead_100hz_60s_train_meta.csv filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,29 @@
+---
+pretty_name: SWaG processed seismic waveforms
+tags:
+- seismology
+- seismic-waveforms
+- diffusion
+---
+
+# SWaG processed waveform data
+
+This dataset contains processed waveform files used by the SWaG diffusion
+training workflow. It does not contain the original raw STEAD or Iquique
+archives.
+
+## File format
+
+- HDF5 `data`: `float32`, shape `[N, 6000, 3]`, component order ENZ
+- HDF5 `labels`: `float32`, shape `[N, 2]`, `[P arrival sample, S arrival sample]`
+- Sampling rate: 100 Hz, 60 seconds per window
+- Each waveform is standardized per window to zero mean and unit standard deviation
+- No bandpass filter is applied
+
+The STEAD processed split contains valid local-earthquake records only; noise
+records are excluded. The Iquique split contains the P/S-labeled processed
+windows used for transfer-learning experiments. Metadata CSV files and dataset
+manifests are included beside the HDF5 files.
+
+Please review the original STEAD and Iquique dataset licenses and citation
+requirements before making this repository public.

iquique/README.md

@@ -0,0 +1,13 @@
+# Iquique Dataset
+
+This is a derived copy of the canonical processed Iquique dataset from the
+SWaG project. Waveforms are unchanged. The derived HDF5 files retain only the
+two labels needed by the current task, in this order:
+
+```text
+labels[:, 0] = p_arrival
+labels[:, 1] = s_arrival
+```
+
+The source dataset and its full four-column labels remain in the original SWaG
+directory and are not modified by this preparation step.

iquique/manifest_ps.json

@@ -0,0 +1,44 @@
+{
+  "dataset": "iquique",
+  "label_policy": "P/S only",
+  "splits": [
+    {
+      "split": "train",
+      "source_h5": "/home/dragonfly/Documents/Data_Processing/SWaG/data/processed/iquique/train/stead_100hz_60s_train.h5",
+      "target_h5": "data/processed/iquique/train/stead_100hz_60s_train.h5",
+      "source_samples": 3000,
+      "waveform_shape": [
+        3000,
+        6000,
+        3
+      ],
+      "label_shape": [
+        3000,
+        2
+      ],
+      "labels": [
+        "p_arrival",
+        "s_arrival"
+      ]
+    },
+    {
+      "split": "test",
+      "source_h5": "/home/dragonfly/Documents/Data_Processing/SWaG/data/processed/iquique/test/stead_100hz_60s_test.h5",
+      "target_h5": "data/processed/iquique/test/stead_100hz_60s_test.h5",
+      "source_samples": 8275,
+      "waveform_shape": [
+        8275,
+        6000,
+        3
+      ],
+      "label_shape": [
+        8275,
+        2
+      ],
+      "labels": [
+        "p_arrival",
+        "s_arrival"
+      ]
+    }
+  ]
+}

iquique/test/stead_100hz_60s_test.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1548f7ee570e3d9f869a9743cf2ee3115a8474889c4a7eed4343c3eadfb45771
+size 506283218

iquique/train/stead_100hz_60s_train.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2bbb482bc115ed0be798dfabf742f17e1b382eab2255685abab85d71e53316a9
+size 183580271

stead/plot_train_label_distribution.py

@@ -0,0 +1,331 @@
+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+
+import h5py
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+from matplotlib.ticker import MaxNLocator, ScalarFormatter
+
+
+SCRIPT_DIR = Path(__file__).resolve().parent
+DEFAULT_TRAIN_H5 = SCRIPT_DIR / "train" / "stead_100hz_60s_train.h5"
+DEFAULT_TRAIN_META = SCRIPT_DIR / "train" / "stead_100hz_60s_train_meta.csv"
+DEFAULT_GENERATION_META = SCRIPT_DIR / "train" / "stead_100hz_60s_train_meta_uniform10k.csv"
+DEFAULT_STATION_CODES = SCRIPT_DIR / "station_codes_stead.csv"
+DEFAULT_OUTPUT_PREFIX = SCRIPT_DIR / "stead_train_label_distribution_final_style"
+DEFAULT_GENERATION_CSV = SCRIPT_DIR / "stead_generation_conditions_from_train.csv"
+
+TRAIN_FILL = "#d8d6cf"
+TRAIN_EDGE = "#5f5f5f"
+GEN_EDGE = "#2f9cc8"
+GRID_COLOR = "#e7e7e7"
+
+
+def configure_matplotlib() -> None:
+    mpl.rcParams.update(
+        {
+            "font.family": "sans-serif",
+            "font.sans-serif": ["Arial", "Helvetica", "DejaVu Sans", "sans-serif"],
+            "svg.fonttype": "none",
+            "pdf.fonttype": 42,
+            "font.size": 7,
+            "axes.spines.right": False,
+            "axes.spines.top": False,
+            "axes.linewidth": 0.7,
+            "axes.labelsize": 8,
+            "axes.titlesize": 9,
+            "xtick.labelsize": 7,
+            "ytick.labelsize": 7,
+            "legend.frameon": False,
+            "xtick.major.width": 0.6,
+            "ytick.major.width": 0.6,
+            "xtick.major.size": 2.5,
+            "ytick.major.size": 2.5,
+        }
+    )
+
+
+def load_labels(train_h5: Path) -> np.ndarray:
+    if not train_h5.exists():
+        raise FileNotFoundError(f"Training HDF5 not found: {train_h5}")
+    with h5py.File(train_h5, "r") as handle:
+        if "labels" not in handle:
+            raise KeyError(f"HDF5 file does not contain a 'labels' dataset: {train_h5}")
+        labels = handle["labels"][:]
+    if labels.ndim != 2 or labels.shape[1] < 4:
+        raise ValueError(f"Expected labels with shape (n, >=4), got {labels.shape}")
+    return labels.astype(np.float32, copy=False)
+
+
+def load_labels_from_meta(train_meta: Path) -> np.ndarray:
+    if not train_meta.exists():
+        raise FileNotFoundError(f"Training metadata CSV not found: {train_meta}")
+    columns = ["station_code", "p_index", "s_index", "s_decay"]
+    frame = pd.read_csv(train_meta, usecols=columns)
+    if frame.empty:
+        raise ValueError(f"Training metadata CSV is empty: {train_meta}")
+    for column in columns:
+        values = pd.to_numeric(frame[column], errors="raise")
+        if not np.isfinite(values).all():
+            raise ValueError(f"Non-finite values found in metadata column: {column}")
+        frame[column] = values
+    return frame[columns].to_numpy(dtype=np.float32)
+
+
+def draw_histogram(
+    ax,
+    train_values: np.ndarray,
+    generation_values: np.ndarray,
+    bins,
+    title: str,
+    xlabel: str,
+    density: bool = True,
+) -> None:
+    ax.hist(
+        train_values,
+        bins=bins,
+        density=density,
+        histtype="stepfilled",
+        color=TRAIN_FILL,
+        edgecolor=TRAIN_EDGE,
+        linewidth=0.9,
+        alpha=0.72,
+        label="Training",
+    )
+    ax.hist(
+        generation_values,
+        bins=bins,
+        density=density,
+        histtype="step",
+        color=GEN_EDGE,
+        linewidth=1.0,
+        linestyle="--",
+        label="Generation",
+    )
+    ax.grid(axis="y", color=GRID_COLOR, linewidth=0.45)
+    ax.set_axisbelow(True)
+    ax.set_title(title, loc="left", pad=3)
+    ax.set_xlabel(xlabel)
+    ax.set_ylabel("Density" if density else "Count")
+    ax.xaxis.set_major_locator(MaxNLocator(nbins=4))
+    ax.yaxis.set_major_locator(MaxNLocator(nbins=4))
+    y_formatter = ScalarFormatter(useMathText=True)
+    y_formatter.set_powerlimits((-2, 2))
+    ax.yaxis.set_major_formatter(y_formatter)
+    ax.yaxis.get_offset_text().set_fontsize(6)
+
+
+def add_panel_label(ax, label: str) -> None:
+    ax.text(
+        -0.18,
+        1.06,
+        label,
+        transform=ax.transAxes,
+        fontsize=10,
+        fontweight="bold",
+        va="bottom",
+        ha="left",
+    )
+
+
+def build_figure(train_labels: np.ndarray, generation_labels: np.ndarray):
+    configure_matplotlib()
+    fig, axes = plt.subplots(2, 3, figsize=(7.2, 3.7), constrained_layout=True)
+    axes = axes.ravel()
+    train_sp = train_labels[:, 2] - train_labels[:, 1]
+    generation_sp = generation_labels[:, 2] - generation_labels[:, 1]
+    train_decay_after_s = train_labels[:, 3] - train_sp
+    generation_decay_after_s = generation_labels[:, 3] - generation_sp
+
+    draw_histogram(
+        axes[0],
+        train_labels[:, 1],
+        generation_labels[:, 1],
+        bins=np.arange(350, 951, 50),
+        title="P arrival",
+        xlabel="Samples",
+    )
+    draw_histogram(
+        axes[1],
+        train_labels[:, 2],
+        generation_labels[:, 2],
+        bins=np.arange(150, 4851, 100),
+        title="S arrival",
+        xlabel="Samples",
+    )
+    draw_histogram(
+        axes[2],
+        train_sp,
+        generation_sp,
+        bins=np.arange(0, 4201, 100),
+        title="S-P",
+        xlabel="Samples",
+    )
+    draw_histogram(
+        axes[3],
+        train_labels[:, 3],
+        generation_labels[:, 3],
+        bins=np.arange(0, 5701, 125),
+        title="Decay time",
+        xlabel="Samples",
+    )
+    draw_histogram(
+        axes[4],
+        train_decay_after_s,
+        generation_decay_after_s,
+        bins=np.arange(-250, 5001, 125),
+        title="Decay after S",
+        xlabel="Samples",
+    )
+    draw_histogram(
+        axes[5],
+        train_labels[:, 0],
+        generation_labels[:, 0],
+        bins=np.arange(-0.5, max(train_labels[:, 0].max(), generation_labels[:, 0].max()) + 1.5, 25),
+        title="Station label",
+        xlabel="Station label",
+        density=True,
+    )
+
+    for panel_label, ax in zip(("a", "b", "c", "d", "e", "f"), axes):
+        add_panel_label(ax, panel_label)
+
+    handles, labels_text = axes[0].get_legend_handles_labels()
+    fig.legend(
+        handles,
+        labels_text,
+        loc="upper right",
+        bbox_to_anchor=(0.995, 1.06),
+        ncol=2,
+        handlelength=1.8,
+        columnspacing=1.0,
+    )
+    fig.suptitle("STEAD label distributions", x=0.045, y=1.06, ha="left", fontsize=10, fontweight="bold")
+    return fig
+
+
+def write_generation_csv(labels: np.ndarray, generation_csv: Path, row_count: int, seed: int) -> Path:
+    if row_count > 0 and row_count < len(labels):
+        rng = np.random.default_rng(seed)
+        selected = rng.choice(len(labels), size=row_count, replace=False)
+        labels = labels[selected]
+    frame = pd.DataFrame(
+        {
+            "station_label": labels[:, 0].astype(np.int64),
+            "p_arrival": labels[:, 1],
+            "s_arrival": labels[:, 2],
+            "decay_time": labels[:, 3],
+        }
+    )
+    frame.to_csv(generation_csv, index=False)
+    return generation_csv
+
+
+def summarize(train_labels: np.ndarray, generation_labels: np.ndarray) -> dict:
+    summary = {
+        "label_columns": ["station_label", "p_arrival", "s_arrival", "decay_time"],
+        "train_sample_count": int(train_labels.shape[0]),
+        "generation_sample_count": int(generation_labels.shape[0]),
+        "train_unique_station_count": int(np.unique(train_labels[:, 0].astype(np.int64)).shape[0]),
+        "generation_unique_station_count": int(np.unique(generation_labels[:, 0].astype(np.int64)).shape[0]),
+        "train_raw_labels": {},
+        "generation_raw_labels": {},
+    }
+    for prefix, label_array in (("train", train_labels), ("generation", generation_labels)):
+        sp_values = label_array[:, 2] - label_array[:, 1]
+        decay_after_s_values = label_array[:, 3] - sp_values
+        for name, values in {
+            "station_label": label_array[:, 0],
+            "p_arrival": label_array[:, 1],
+            "s_arrival": label_array[:, 2],
+            "decay_time": label_array[:, 3],
+            "s_minus_p": sp_values,
+            "decay_after_s": decay_after_s_values,
+        }.items():
+            summary[f"{prefix}_raw_labels"][name] = describe(values)
+    return summary
+
+
+def describe(values: np.ndarray) -> dict:
+    return {
+        "count": int(values.size),
+        "min": float(np.min(values)),
+        "q05": float(np.quantile(values, 0.05)),
+        "q25": float(np.quantile(values, 0.25)),
+        "median": float(np.quantile(values, 0.50)),
+        "q75": float(np.quantile(values, 0.75)),
+        "q95": float(np.quantile(values, 0.95)),
+        "max": float(np.max(values)),
+        "mean": float(np.mean(values)),
+        "std": float(np.std(values)),
+    }
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(description="Plot STEAD training label distributions and prepare a generation CSV.")
+    parser.add_argument("--train-meta", type=Path, default=DEFAULT_TRAIN_META)
+    parser.add_argument("--generation-meta", type=Path, default=DEFAULT_GENERATION_META)
+    parser.add_argument("--train-h5", type=Path, default=DEFAULT_TRAIN_H5)
+    parser.add_argument("--use-h5-labels", action="store_true")
+    parser.add_argument("--station-codes", type=Path, default=DEFAULT_STATION_CODES)
+    parser.add_argument("--output-prefix", type=Path, default=DEFAULT_OUTPUT_PREFIX)
+    parser.add_argument("--generation-csv", type=Path, default=DEFAULT_GENERATION_CSV)
+    parser.add_argument("--generation-rows", type=int, default=0)
+    parser.add_argument("--seed", type=int, default=0)
+    return parser.parse_args()
+
+
+def main() -> None:
+    args = parse_args()
+    train_labels = load_labels(args.train_h5) if args.use_h5_labels else load_labels_from_meta(args.train_meta)
+    generation_labels = load_labels_from_meta(args.generation_meta)
+    train_station_labels = np.unique(train_labels[:, 0].astype(np.int64))
+
+    if args.station_codes.exists():
+        station_frame = pd.read_csv(args.station_codes)
+        known_station_count = station_frame["station_code"].nunique()
+    else:
+        known_station_count = None
+
+    fig = build_figure(train_labels, generation_labels)
+    args.output_prefix.parent.mkdir(parents=True, exist_ok=True)
+    fig.savefig(f"{args.output_prefix}.png", dpi=300, bbox_inches="tight")
+    fig.savefig(f"{args.output_prefix}.pdf", bbox_inches="tight")
+    fig.savefig(f"{args.output_prefix}.svg", bbox_inches="tight")
+    plt.close(fig)
+
+    generation_csv = write_generation_csv(generation_labels, args.generation_csv, args.generation_rows, args.seed)
+    summary = summarize(train_labels, generation_labels)
+    summary.update(
+        {
+            "train_h5": str(args.train_h5),
+            "train_meta": str(args.train_meta),
+            "generation_meta": str(args.generation_meta),
+            "label_source": "h5_labels" if args.use_h5_labels else "metadata_csv",
+            "known_station_count": None if known_station_count is None else int(known_station_count),
+            "observed_station_count": int(train_station_labels.shape[0]),
+            "png": f"{args.output_prefix}.png",
+            "pdf": f"{args.output_prefix}.pdf",
+            "svg": f"{args.output_prefix}.svg",
+            "generation_csv": str(generation_csv),
+            "generation_rows": int(args.generation_rows),
+        }
+    )
+    summary_path = args.output_prefix.with_suffix(".summary.json")
+    with open(summary_path, "w", encoding="utf-8") as fp:
+        json.dump(summary, fp, ensure_ascii=False, indent=2)
+
+    print(f"PNG: {args.output_prefix}.png")
+    print(f"PDF: {args.output_prefix}.pdf")
+    print(f"SVG: {args.output_prefix}.svg")
+    print(f"Summary: {summary_path}")
+    print(f"Generation CSV: {generation_csv}")
+
+
+if __name__ == "__main__":
+    main()

stead/split_summary.csv

@@ -0,0 +1,2 @@
+class,train,test
+event,1000000,6694

stead/station_codes_stead.csv

@@ -0,0 +1,2633 @@
+station_code,station_key,dataset_name,net,station
+1,STEAD_7F_X301,STEAD,7F,X301
+2,STEAD_AC_TPE,STEAD,AC,TPE
+3,STEAD_AE_U15A,STEAD,AE,U15A
+4,STEAD_AE_X16A,STEAD,AE,X16A
+5,STEAD_AF_BOBN,STEAD,AF,BOBN
+6,STEAD_AF_CNG,STEAD,AF,CNG
+7,STEAD_AF_CVNA,STEAD,AF,CVNA
+8,STEAD_AF_DODT,STEAD,AF,DODT
+9,STEAD_AF_GRM,STEAD,AF,GRM
+10,STEAD_AF_HVD,STEAD,AF,HVD
+11,STEAD_AF_MOPA,STEAD,AF,MOPA
+12,STEAD_AF_PKA,STEAD,AF,PKA
+13,STEAD_AF_SEK,STEAD,AF,SEK
+14,STEAD_AF_TEZI,STEAD,AF,TEZI
+15,STEAD_AF_UPI,STEAD,AF,UPI
+16,STEAD_AF_WDLM,STEAD,AF,WDLM
+17,STEAD_AG_CCAR,STEAD,AG,CCAR
+18,STEAD_AG_FCAR,STEAD,AG,FCAR
+19,STEAD_AG_HHAR,STEAD,AG,HHAR
+20,STEAD_AG_LCAR,STEAD,AG,LCAR
+21,STEAD_AG_U40A,STEAD,AG,U40A
+22,STEAD_AG_WHAR,STEAD,AG,WHAR
+23,STEAD_AG_WLAR,STEAD,AG,WLAR
+24,STEAD_AG_X40A,STEAD,AG,X40A
+25,STEAD_AK_ANM,STEAD,AK,ANM
+26,STEAD_AK_ATKA,STEAD,AK,ATKA
+27,STEAD_AK_BAGL,STEAD,AK,BAGL
+28,STEAD_AK_BAL,STEAD,AK,BAL
+29,STEAD_AK_BARK,STEAD,AK,BARK
+30,STEAD_AK_BARN,STEAD,AK,BARN
+31,STEAD_AK_BCP,STEAD,AK,BCP
+32,STEAD_AK_BERG,STEAD,AK,BERG
+33,STEAD_AK_BESE,STEAD,AK,BESE
+34,STEAD_AK_BGLC,STEAD,AK,BGLC
+35,STEAD_AK_BMR,STEAD,AK,BMR
+36,STEAD_AK_BPAW,STEAD,AK,BPAW
+37,STEAD_AK_BRLK,STEAD,AK,BRLK
+38,STEAD_AK_BRSE,STEAD,AK,BRSE
+39,STEAD_AK_BWN,STEAD,AK,BWN
+40,STEAD_AK_CAPN,STEAD,AK,CAPN
+41,STEAD_AK_CAST,STEAD,AK,CAST
+42,STEAD_AK_CCB,STEAD,AK,CCB
+43,STEAD_AK_CHI,STEAD,AK,CHI
+44,STEAD_AK_CHN,STEAD,AK,CHN
+45,STEAD_AK_CHUM,STEAD,AK,CHUM
+46,STEAD_AK_CNP,STEAD,AK,CNP
+47,STEAD_AK_COLD,STEAD,AK,COLD
+48,STEAD_AK_CRQ,STEAD,AK,CRQ
+49,STEAD_AK_CTG,STEAD,AK,CTG
+50,STEAD_AK_CUT,STEAD,AK,CUT
+51,STEAD_AK_CYK,STEAD,AK,CYK
+52,STEAD_AK_DCPH,STEAD,AK,DCPH
+53,STEAD_AK_DHY,STEAD,AK,DHY
+54,STEAD_AK_DIV,STEAD,AK,DIV
+55,STEAD_AK_DOT,STEAD,AK,DOT
+56,STEAD_AK_EYAK,STEAD,AK,EYAK
+57,STEAD_AK_FALS,STEAD,AK,FALS
+58,STEAD_AK_FIB,STEAD,AK,FIB
+59,STEAD_AK_FID,STEAD,AK,FID
+60,STEAD_AK_FIRE,STEAD,AK,FIRE
+61,STEAD_AK_FYU,STEAD,AK,FYU
+62,STEAD_AK_GAMB,STEAD,AK,GAMB
+63,STEAD_AK_GHO,STEAD,AK,GHO
+64,STEAD_AK_GLB,STEAD,AK,GLB
+65,STEAD_AK_GLI,STEAD,AK,GLI
+66,STEAD_AK_GLM,STEAD,AK,GLM
+67,STEAD_AK_GOAT,STEAD,AK,GOAT
+68,STEAD_AK_GRIN,STEAD,AK,GRIN
+69,STEAD_AK_GRNC,STEAD,AK,GRNC
+70,STEAD_AK_HARP,STEAD,AK,HARP
+71,STEAD_AK_HDA,STEAD,AK,HDA
+72,STEAD_AK_HIN,STEAD,AK,HIN
+73,STEAD_AK_HMT,STEAD,AK,HMT
+74,STEAD_AK_HOM,STEAD,AK,HOM
+75,STEAD_AK_ISLE,STEAD,AK,ISLE
+76,STEAD_AK_JIS,STEAD,AK,JIS
+77,STEAD_AK_KAI,STEAD,AK,KAI
+78,STEAD_AK_KHIT,STEAD,AK,KHIT
+79,STEAD_AK_KIAG,STEAD,AK,KIAG
+80,STEAD_AK_KLU,STEAD,AK,KLU
+81,STEAD_AK_KNK,STEAD,AK,KNK
+82,STEAD_AK_KOTZ,STEAD,AK,KOTZ
+83,STEAD_AK_KTH,STEAD,AK,KTH
+84,STEAD_AK_KULT,STEAD,AK,KULT
+85,STEAD_AK_LOGN,STEAD,AK,LOGN
+86,STEAD_AK_MCAR,STEAD,AK,MCAR
+87,STEAD_AK_MCK,STEAD,AK,MCK
+88,STEAD_AK_MDM,STEAD,AK,MDM
+89,STEAD_AK_MESA,STEAD,AK,MESA
+90,STEAD_AK_MLY,STEAD,AK,MLY
+91,STEAD_AK_NEA,STEAD,AK,NEA
+92,STEAD_AK_NEA2,STEAD,AK,NEA2
+93,STEAD_AK_NICH,STEAD,AK,NICH
+94,STEAD_AK_NIKH,STEAD,AK,NIKH
+95,STEAD_AK_NKA,STEAD,AK,NKA
+96,STEAD_AK_PAX,STEAD,AK,PAX
+97,STEAD_AK_PIN,STEAD,AK,PIN
+98,STEAD_AK_PNL,STEAD,AK,PNL
+99,STEAD_AK_PPD,STEAD,AK,PPD
+100,STEAD_AK_PPLA,STEAD,AK,PPLA
+101,STEAD_AK_PTPK,STEAD,AK,PTPK
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+901,STEAD_HP_UPR,STEAD,HP,UPR
+902,STEAD_HT_AGG,STEAD,HT,AGG
+903,STEAD_HT_ALN,STEAD,HT,ALN
+904,STEAD_HT_AOS,STEAD,HT,AOS
+905,STEAD_HT_CHOS,STEAD,HT,CHOS
+906,STEAD_HT_CMBO,STEAD,HT,CMBO
+907,STEAD_HT_EVGI,STEAD,HT,EVGI
+908,STEAD_HT_FNA,STEAD,HT,FNA
+909,STEAD_HT_GRG,STEAD,HT,GRG
+910,STEAD_HT_HORT,STEAD,HT,HORT
+911,STEAD_HT_IGT,STEAD,HT,IGT
+912,STEAD_HT_KPRO,STEAD,HT,KPRO
+913,STEAD_HT_KRND,STEAD,HT,KRND
+914,STEAD_HT_LIT,STEAD,HT,LIT
+915,STEAD_HT_LKD,STEAD,HT,LKD
+916,STEAD_HT_LKD2,STEAD,HT,LKD2
+917,STEAD_HT_NEST,STEAD,HT,NEST
+918,STEAD_HT_NIS1,STEAD,HT,NIS1
+919,STEAD_HT_OUR,STEAD,HT,OUR
+920,STEAD_HT_PAIG,STEAD,HT,PAIG
+921,STEAD_HT_SIGR,STEAD,HT,SIGR
+922,STEAD_HT_SOH,STEAD,HT,SOH
+923,STEAD_HT_THE,STEAD,HT,THE
+924,STEAD_HT_THT1,STEAD,HT,THT1
+925,STEAD_HT_XOR,STEAD,HT,XOR
+926,STEAD_HV_AHUD,STEAD,HV,AHUD
+927,STEAD_HV_AIND,STEAD,HV,AIND
+928,STEAD_HV_ALEP,STEAD,HV,ALEP
+929,STEAD_HV_DESD,STEAD,HV,DESD
+930,STEAD_HV_ELEP,STEAD,HV,ELEP
+931,STEAD_HV_HLPD,STEAD,HV,HLPD
+932,STEAD_HV_HOVE,STEAD,HV,HOVE
+933,STEAD_HV_HSSD,STEAD,HV,HSSD
+934,STEAD_HV_HUAD,STEAD,HV,HUAD
+935,STEAD_HV_JCUZ,STEAD,HV,JCUZ
+936,STEAD_HV_JOKA,STEAD,HV,JOKA
+937,STEAD_HV_KOHD,STEAD,HV,KOHD
+938,STEAD_HV_MLOD,STEAD,HV,MLOD
+939,STEAD_HV_MOKD,STEAD,HV,MOKD
+940,STEAD_HV_NAGD,STEAD,HV,NAGD
+941,STEAD_HV_NAHU,STEAD,HV,NAHU
+942,STEAD_HV_NPOC,STEAD,HV,NPOC
+943,STEAD_HV_NPT,STEAD,HV,NPT
+944,STEAD_HV_PAUD,STEAD,HV,PAUD
+945,STEAD_HV_RIMD,STEAD,HV,RIMD
+946,STEAD_HV_RSDD,STEAD,HV,RSDD
+947,STEAD_HV_SPDD,STEAD,HV,SPDD
+948,STEAD_HV_STCD,STEAD,HV,STCD
+949,STEAD_HV_TOUO,STEAD,HV,TOUO
+950,STEAD_HV_UWE,STEAD,HV,UWE
+951,STEAD_HV_WILD,STEAD,HV,WILD
+952,STEAD_HW_CCRK,STEAD,HW,CCRK
+953,STEAD_HW_DDRF,STEAD,HW,DDRF
+954,STEAD_HW_PHIN,STEAD,HW,PHIN
+955,STEAD_IB_EHUE,STEAD,IB,EHUE
+956,STEAD_IB_ELOJ,STEAD,IB,ELOJ
+957,STEAD_IB_ELUQ,STEAD,IB,ELUQ
+958,STEAD_IB_LIJA,STEAD,IB,LIJA
+959,STEAD_IB_REAL,STEAD,IB,REAL
+960,STEAD_IB_TAF,STEAD,IB,TAF
+961,STEAD_IC_KMI,STEAD,IC,KMI
+962,STEAD_IC_WMQ,STEAD,IC,WMQ
+963,STEAD_II_AAK,STEAD,II,AAK
+964,STEAD_II_CMLA,STEAD,II,CMLA
+965,STEAD_II_KIV,STEAD,II,KIV
+966,STEAD_IM_IL31,STEAD,IM,IL31
+967,STEAD_IM_MK31,STEAD,IM,MK31
+968,STEAD_IM_NV11,STEAD,IM,NV11
+969,STEAD_IM_NV31,STEAD,IM,NV31
+970,STEAD_IM_PD31,STEAD,IM,PD31
+971,STEAD_IM_TKL,STEAD,IM,TKL
+972,STEAD_IN_SHL,STEAD,IN,SHL
+973,STEAD_IP_PACT,STEAD,IP,PACT
+974,STEAD_IP_PMST,STEAD,IP,PMST
+975,STEAD_IU_CHTO,STEAD,IU,CHTO
+976,STEAD_IU_COLA,STEAD,IU,COLA
+977,STEAD_IU_COR,STEAD,IU,COR
+978,STEAD_IU_KBL,STEAD,IU,KBL
+979,STEAD_IU_LCO,STEAD,IU,LCO
+980,STEAD_IU_MAKZ,STEAD,IU,MAKZ
+981,STEAD_IU_NWAO,STEAD,IU,NWAO
+982,STEAD_IU_POHA,STEAD,IU,POHA
+983,STEAD_IU_RCBR,STEAD,IU,RCBR
+984,STEAD_IU_RSSD,STEAD,IU,RSSD
+985,STEAD_IU_SFJD,STEAD,IU,SFJD
+986,STEAD_IU_SJG,STEAD,IU,SJG
+987,STEAD_IU_SNZO,STEAD,IU,SNZO
+988,STEAD_IU_TATO,STEAD,IU,TATO
+989,STEAD_IV_ACER,STEAD,IV,ACER
+990,STEAD_IV_AGST,STEAD,IV,AGST
+991,STEAD_IV_ALJA,STEAD,IV,ALJA
+992,STEAD_IV_AMUR,STEAD,IV,AMUR
+993,STEAD_IV_AOI,STEAD,IV,AOI
+994,STEAD_IV_APPI,STEAD,IV,APPI
+995,STEAD_IV_AQT1,STEAD,IV,AQT1
+996,STEAD_IV_ARVD,STEAD,IV,ARVD
+997,STEAD_IV_ASQU,STEAD,IV,ASQU
+998,STEAD_IV_ASSB,STEAD,IV,ASSB
+999,STEAD_IV_ATCA,STEAD,IV,ATCA
+1000,STEAD_IV_BADI,STEAD,IV,BADI
+1001,STEAD_IV_BDI,STEAD,IV,BDI
+1002,STEAD_IV_BRES,STEAD,IV,BRES
+1003,STEAD_IV_BRIS,STEAD,IV,BRIS
+1004,STEAD_IV_BRMO,STEAD,IV,BRMO
+1005,STEAD_IV_CAFE,STEAD,IV,CAFE
+1006,STEAD_IV_CAFI,STEAD,IV,CAFI
+1007,STEAD_IV_CAFR,STEAD,IV,CAFR
+1008,STEAD_IV_CDCA,STEAD,IV,CDCA
+1009,STEAD_IV_CDRU,STEAD,IV,CDRU
+1010,STEAD_IV_CERT,STEAD,IV,CERT
+1011,STEAD_IV_CESI,STEAD,IV,CESI
+1012,STEAD_IV_CESX,STEAD,IV,CESX
+1013,STEAD_IV_CMPO,STEAD,IV,CMPO
+1014,STEAD_IV_CMPR,STEAD,IV,CMPR
+1015,STEAD_IV_CORL,STEAD,IV,CORL
+1016,STEAD_IV_CRE,STEAD,IV,CRE
+1017,STEAD_IV_CRMI,STEAD,IV,CRMI
+1018,STEAD_IV_CSNT,STEAD,IV,CSNT
+1019,STEAD_IV_CTI,STEAD,IV,CTI
+1020,STEAD_IV_DOI,STEAD,IV,DOI
+1021,STEAD_IV_ECNV,STEAD,IV,ECNV
+1022,STEAD_IV_ERBM,STEAD,IV,ERBM
+1023,STEAD_IV_ESLN,STEAD,IV,ESLN
+1024,STEAD_IV_FAEN,STEAD,IV,FAEN
+1025,STEAD_IV_FAGN,STEAD,IV,FAGN
+1026,STEAD_IV_FDMO,STEAD,IV,FDMO
+1027,STEAD_IV_FIAM,STEAD,IV,FIAM
+1028,STEAD_IV_FIU,STEAD,IV,FIU
+1029,STEAD_IV_FRES,STEAD,IV,FRES
+1030,STEAD_IV_FSSB,STEAD,IV,FSSB
+1031,STEAD_IV_FVI,STEAD,IV,FVI
+1032,STEAD_IV_GRI,STEAD,IV,GRI
+1033,STEAD_IV_HAGA,STEAD,IV,HAGA
+1034,STEAD_IV_HAVL,STEAD,IV,HAVL
+1035,STEAD_IV_HCRL,STEAD,IV,HCRL
+1036,STEAD_IV_IFIL,STEAD,IV,IFIL
+1037,STEAD_IV_IMI,STEAD,IV,IMI
+1038,STEAD_IV_INTR,STEAD,IV,INTR
+1039,STEAD_IV_JOPP,STEAD,IV,JOPP
+1040,STEAD_IV_LADO,STEAD,IV,LADO
+1041,STEAD_IV_LATE,STEAD,IV,LATE
+1042,STEAD_IV_LNSS,STEAD,IV,LNSS
+1043,STEAD_IV_LPEL,STEAD,IV,LPEL
+1044,STEAD_IV_MABI,STEAD,IV,MABI
+1045,STEAD_IV_MAGA,STEAD,IV,MAGA
+1046,STEAD_IV_MCEL,STEAD,IV,MCEL
+1047,STEAD_IV_MCRV,STEAD,IV,MCRV
+1048,STEAD_IV_MCSR,STEAD,IV,MCSR
+1049,STEAD_IV_MDI,STEAD,IV,MDI
+1050,STEAD_IV_MGR,STEAD,IV,MGR
+1051,STEAD_IV_MIDA,STEAD,IV,MIDA
+1052,STEAD_IV_MNS,STEAD,IV,MNS
+1053,STEAD_IV_MPNC,STEAD,IV,MPNC
+1054,STEAD_IV_MRB1,STEAD,IV,MRB1
+1055,STEAD_IV_MRGE,STEAD,IV,MRGE
+1056,STEAD_IV_MRLC,STEAD,IV,MRLC
+1057,STEAD_IV_MRVN,STEAD,IV,MRVN
+1058,STEAD_IV_MSAG,STEAD,IV,MSAG
+1059,STEAD_IV_MSSA,STEAD,IV,MSSA
+1060,STEAD_IV_MTCE,STEAD,IV,MTCE
+1061,STEAD_IV_MTRZ,STEAD,IV,MTRZ
+1062,STEAD_IV_MTTG,STEAD,IV,MTTG
+1063,STEAD_IV_NRCA,STEAD,IV,NRCA
+1064,STEAD_IV_OFFI,STEAD,IV,OFFI
+1065,STEAD_IV_ORI,STEAD,IV,ORI
+1066,STEAD_IV_PALZ,STEAD,IV,PALZ
+1067,STEAD_IV_PE3,STEAD,IV,PE3
+1068,STEAD_IV_PESA,STEAD,IV,PESA
+1069,STEAD_IV_PIEI,STEAD,IV,PIEI
+1070,STEAD_IV_PIPA,STEAD,IV,PIPA
+1071,STEAD_IV_PLAC,STEAD,IV,PLAC
+1072,STEAD_IV_PLLN,STEAD,IV,PLLN
+1073,STEAD_IV_PLMA,STEAD,IV,PLMA
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+1077,STEAD_IV_PTRJ,STEAD,IV,PTRJ
+1078,STEAD_IV_PZZT,STEAD,IV,PZZT
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+1084,STEAD_IV_RMP,STEAD,IV,RMP
+1085,STEAD_IV_RNI2,STEAD,IV,RNI2
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+1087,STEAD_IV_RSM,STEAD,IV,RSM
+1088,STEAD_IV_SALO,STEAD,IV,SALO
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+1090,STEAD_IV_SBPO,STEAD,IV,SBPO
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+1092,STEAD_IV_SCTE,STEAD,IV,SCTE
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+1095,STEAD_IV_SEST,STEAD,IV,SEST
+1096,STEAD_IV_SFI,STEAD,IV,SFI
+1097,STEAD_IV_SGG,STEAD,IV,SGG
+1098,STEAD_IV_SGRT,STEAD,IV,SGRT
+1099,STEAD_IV_SGTA,STEAD,IV,SGTA
+1100,STEAD_IV_SNAL,STEAD,IV,SNAL
+1101,STEAD_IV_SOI,STEAD,IV,SOI
+1102,STEAD_IV_SSY,STEAD,IV,SSY
+1103,STEAD_IV_T0104,STEAD,IV,T0104
+1104,STEAD_IV_T0106,STEAD,IV,T0106
+1105,STEAD_IV_T0401,STEAD,IV,T0401
+1106,STEAD_IV_T0402,STEAD,IV,T0402
+1107,STEAD_IV_T0502,STEAD,IV,T0502
+1108,STEAD_IV_T0712,STEAD,IV,T0712
+1109,STEAD_IV_T0715,STEAD,IV,T0715
+1110,STEAD_IV_T0800,STEAD,IV,T0800
+1111,STEAD_IV_T0811,STEAD,IV,T0811
+1112,STEAD_IV_T0812,STEAD,IV,T0812
+1113,STEAD_IV_T0813,STEAD,IV,T0813
+1114,STEAD_IV_T0814,STEAD,IV,T0814
+1115,STEAD_IV_T0815,STEAD,IV,T0815
+1116,STEAD_IV_T0816,STEAD,IV,T0816
+1117,STEAD_IV_T0817,STEAD,IV,T0817
+1118,STEAD_IV_T0818,STEAD,IV,T0818
+1119,STEAD_IV_T0820,STEAD,IV,T0820
+1120,STEAD_IV_T0821,STEAD,IV,T0821
+1121,STEAD_IV_T0822,STEAD,IV,T0822
+1122,STEAD_IV_T0823,STEAD,IV,T0823
+1123,STEAD_IV_T0824,STEAD,IV,T0824
+1124,STEAD_IV_T0825,STEAD,IV,T0825
+1125,STEAD_IV_T0827,STEAD,IV,T0827
+1126,STEAD_IV_T0828,STEAD,IV,T0828
+1127,STEAD_IV_T0911,STEAD,IV,T0911
+1128,STEAD_IV_T0912,STEAD,IV,T0912
+1129,STEAD_IV_TERO,STEAD,IV,TERO
+1130,STEAD_IV_TRTR,STEAD,IV,TRTR
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+1132,STEAD_IV_VCEL,STEAD,IV,VCEL
+1133,STEAD_IV_VULT,STEAD,IV,VULT
+1134,STEAD_IV_VVLD,STEAD,IV,VVLD
+1135,STEAD_IW_DCID1,STEAD,IW,DCID1
+1136,STEAD_IW_DLMT,STEAD,IW,DLMT
+1137,STEAD_IW_FLWY,STEAD,IW,FLWY
+1138,STEAD_IW_IMW,STEAD,IW,IMW
+1139,STEAD_IW_LOHW,STEAD,IW,LOHW
+1140,STEAD_IW_MOOW,STEAD,IW,MOOW
+1141,STEAD_IW_REDW,STEAD,IW,REDW
+1142,STEAD_IW_RRI2,STEAD,IW,RRI2
+1143,STEAD_IW_SMCO,STEAD,IW,SMCO
+1144,STEAD_IW_SNOW,STEAD,IW,SNOW
+1145,STEAD_IW_TPAW,STEAD,IW,TPAW
+1146,STEAD_KC_TARG,STEAD,KC,TARG
+1147,STEAD_KO_ADVT,STEAD,KO,ADVT
+1148,STEAD_KO_ARMT,STEAD,KO,ARMT
+1149,STEAD_KO_BGKT,STEAD,KO,BGKT
+1150,STEAD_KO_CAVI,STEAD,KO,CAVI
+1151,STEAD_KO_CRLT,STEAD,KO,CRLT
+1152,STEAD_KO_CTKS,STEAD,KO,CTKS
+1153,STEAD_KO_CTYL,STEAD,KO,CTYL
+1154,STEAD_KO_EDC,STEAD,KO,EDC
+1155,STEAD_KO_EDRB,STEAD,KO,EDRB
+1156,STEAD_KO_EREN,STEAD,KO,EREN
+1157,STEAD_KO_ERIK,STEAD,KO,ERIK
+1158,STEAD_KO_GELI,STEAD,KO,GELI
+1159,STEAD_KO_GEMT,STEAD,KO,GEMT
+1160,STEAD_KO_ISK,STEAD,KO,ISK
+1161,STEAD_KO_KARS,STEAD,KO,KARS
+1162,STEAD_KO_KCTX,STEAD,KO,KCTX
+1163,STEAD_KO_KLYT,STEAD,KO,KLYT
+1164,STEAD_KO_KRBG,STEAD,KO,KRBG
+1165,STEAD_KO_MDNY,STEAD,KO,MDNY
+1166,STEAD_KO_MRMT,STEAD,KO,MRMT
+1167,STEAD_KO_PHSR,STEAD,KO,PHSR
+1168,STEAD_KO_RKY,STEAD,KO,RKY
+1169,STEAD_KO_SILT,STEAD,KO,SILT
+1170,STEAD_KO_SLVT,STEAD,KO,SLVT
+1171,STEAD_KP_UPNV,STEAD,KP,UPNV
+1172,STEAD_KR_ANVS,STEAD,KR,ANVS
+1173,STEAD_KR_ARK,STEAD,KR,ARK
+1174,STEAD_KR_ARLS,STEAD,KR,ARLS
+1175,STEAD_KR_ARSB,STEAD,KR,ARSB
+1176,STEAD_KR_BOOM,STEAD,KR,BOOM
+1177,STEAD_KR_BTK,STEAD,KR,BTK
+1178,STEAD_KR_DRK,STEAD,KR,DRK
+1179,STEAD_KR_EKS,STEAD,KR,EKS
+1180,STEAD_KR_FRU1,STEAD,KR,FRU1
+1181,STEAD_KR_KDJ,STEAD,KR,KDJ
+1182,STEAD_KR_NRN,STEAD,KR,NRN
+1183,STEAD_KR_OHH,STEAD,KR,OHH
+1184,STEAD_KR_PRZ,STEAD,KR,PRZ
+1185,STEAD_KR_TOKL,STEAD,KR,TOKL
+1186,STEAD_KY_CUSSO,STEAD,KY,CUSSO
+1187,STEAD_KY_FLKY,STEAD,KY,FLKY
+1188,STEAD_KY_HEKY,STEAD,KY,HEKY
+1189,STEAD_KY_LOKY,STEAD,KY,LOKY
+1190,STEAD_KZ_ABKAR,STEAD,KZ,ABKAR
+1191,STEAD_KZ_AKTK,STEAD,KZ,AKTK
+1192,STEAD_KZ_BAL1,STEAD,KZ,BAL1
+1193,STEAD_KZ_BAL2,STEAD,KZ,BAL2
+1194,STEAD_KZ_BAL3,STEAD,KZ,BAL3
+1195,STEAD_KZ_BAL4,STEAD,KZ,BAL4
+1196,STEAD_KZ_BVAR,STEAD,KZ,BVAR
+1197,STEAD_KZ_CHKZ,STEAD,KZ,CHKZ
+1198,STEAD_KZ_DEG5,STEAD,KZ,DEG5
+1199,STEAD_KZ_KNDC,STEAD,KZ,KNDC
+1200,STEAD_KZ_MAKZ,STEAD,KZ,MAKZ
+1201,STEAD_KZ_MKAR,STEAD,KZ,MKAR
+1202,STEAD_KZ_PDGK,STEAD,KZ,PDGK
+1203,STEAD_KZ_SAU1,STEAD,KZ,SAU1
+1204,STEAD_KZ_SAU2,STEAD,KZ,SAU2
+1205,STEAD_LB_BMN,STEAD,LB,BMN
+1206,STEAD_LB_DAC,STEAD,LB,DAC
+1207,STEAD_LB_MVU,STEAD,LB,MVU
+1208,STEAD_LB_TPH,STEAD,LB,TPH
+1209,STEAD_LD_ACCN,STEAD,LD,ACCN
+1210,STEAD_LD_ALLY,STEAD,LD,ALLY
+1211,STEAD_LD_ASNY,STEAD,LD,ASNY
+1212,STEAD_LD_BMNY,STEAD,LD,BMNY
+1213,STEAD_LD_BRNJ,STEAD,LD,BRNJ
+1214,STEAD_LD_BRNY,STEAD,LD,BRNY
+1215,STEAD_LD_CCNY,STEAD,LD,CCNY
+1216,STEAD_LD_CFNY,STEAD,LD,CFNY
+1217,STEAD_LD_CPNY,STEAD,LD,CPNY
+1218,STEAD_LD_CTNY,STEAD,LD,CTNY
+1219,STEAD_LD_CUNY,STEAD,LD,CUNY
+1220,STEAD_LD_FMPA,STEAD,LD,FMPA
+1221,STEAD_LD_FOR,STEAD,LD,FOR
+1222,STEAD_LD_FRNY,STEAD,LD,FRNY
+1223,STEAD_LD_GEDE,STEAD,LD,GEDE
+1224,STEAD_LD_GPD,STEAD,LD,GPD
+1225,STEAD_LD_HBVT,STEAD,LD,HBVT
+1226,STEAD_LD_HCNY,STEAD,LD,HCNY
+1227,STEAD_LD_KSCT,STEAD,LD,KSCT
+1228,STEAD_LD_LUPA,STEAD,LD,LUPA
+1229,STEAD_LD_MCVT,STEAD,LD,MCVT
+1230,STEAD_LD_MMNY,STEAD,LD,MMNY
+1231,STEAD_LD_MVL,STEAD,LD,MVL
+1232,STEAD_LD_NCB,STEAD,LD,NCB
+1233,STEAD_LD_NPNY,STEAD,LD,NPNY
+1234,STEAD_LD_ODNJ,STEAD,LD,ODNJ
+1235,STEAD_LD_PAL,STEAD,LD,PAL
+1236,STEAD_LD_PANJ,STEAD,LD,PANJ
+1237,STEAD_LD_POTS,STEAD,LD,POTS
+1238,STEAD_LD_PTN,STEAD,LD,PTN
+1239,STEAD_LD_PTNY,STEAD,LD,PTNY
+1240,STEAD_LD_SDMD,STEAD,LD,SDMD
+1241,STEAD_LD_TRNY,STEAD,LD,TRNY
+1242,STEAD_LD_UCCT,STEAD,LD,UCCT
+1243,STEAD_LD_WCNY,STEAD,LD,WCNY
+1244,STEAD_LD_WUPA,STEAD,LD,WUPA
+1245,STEAD_LD_WVNY,STEAD,LD,WVNY
+1246,STEAD_LX_MORF,STEAD,LX,MORF
+1247,STEAD_MB_JTMT,STEAD,MB,JTMT
+1248,STEAD_MN_AQU,STEAD,MN,AQU
+1249,STEAD_MN_BNI,STEAD,MN,BNI
+1250,STEAD_MN_CEL,STEAD,MN,CEL
+1251,STEAD_MN_CII,STEAD,MN,CII
+1252,STEAD_MN_CUC,STEAD,MN,CUC
+1253,STEAD_MN_IDI,STEAD,MN,IDI
+1254,STEAD_MN_TIP,STEAD,MN,TIP
+1255,STEAD_MN_TRI,STEAD,MN,TRI
+1256,STEAD_MN_TUE,STEAD,MN,TUE
+1257,STEAD_MN_VLC,STEAD,MN,VLC
+1258,STEAD_N4_146B,STEAD,N4,146B
+1259,STEAD_N4_152A,STEAD,N4,152A
+1260,STEAD_N4_154A,STEAD,N4,154A
+1261,STEAD_N4_J54A,STEAD,N4,J54A
+1262,STEAD_N4_J55A,STEAD,N4,J55A
+1263,STEAD_N4_J56A,STEAD,N4,J56A
+1264,STEAD_N4_J57A,STEAD,N4,J57A
+1265,STEAD_N4_J58A,STEAD,N4,J58A
+1266,STEAD_N4_J59A,STEAD,N4,J59A
+1267,STEAD_N4_L59A,STEAD,N4,L59A
+1268,STEAD_N4_M52A,STEAD,N4,M52A
+1269,STEAD_N4_M55A,STEAD,N4,M55A
+1270,STEAD_N4_N53A,STEAD,N4,N53A
+1271,STEAD_N4_N62A,STEAD,N4,N62A
+1272,STEAD_N4_O52A,STEAD,N4,O52A
+1273,STEAD_N4_P53A,STEAD,N4,P53A
+1274,STEAD_N4_P61A,STEAD,N4,P61A
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