List Data Entries

from atomscale import Client

client = Client(api_key="YOUR_API_KEY")
results = client.search(data_type="rheed_video", status="success")

import requests

response = requests.get(
    "https://api.atomscale.ai/data_entries/",
    headers={"X-API-KEY": "YOUR_API_KEY"},
    params={"data_type": "rheed_video", "limit": 50}
)
data = response.json()

curl "https://api.atomscale.ai/data_entries/?data_type=rheed_video&limit=50" \
  -H "X-API-KEY: YOUR_API_KEY"

[
  {
    "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
    "raw_name": "rheed_video_2024_01_15.mp4",
    "char_source_type": "rheed_video",
    "pipeline_status": "success",
    "upload_datetime": "2024-01-15T10:30:00Z",
    "last_accessed_datetime": "2024-01-15T14:00:00Z",
    "physical_sample_id": "a1b2c3d4-5678-90ab-cdef-1234567890ab",
    "physical_sample_name": "GaAs-001",
    "tags": [],
    "projects": []
  }
]

GET

data_entries

from atomscale import Client

client = Client(api_key="YOUR_API_KEY")
results = client.search(data_type="rheed_video", status="success")

import requests

response = requests.get(
    "https://api.atomscale.ai/data_entries/",
    headers={"X-API-KEY": "YOUR_API_KEY"},
    params={"data_type": "rheed_video", "limit": 50}
)
data = response.json()

curl "https://api.atomscale.ai/data_entries/?data_type=rheed_video&limit=50" \
  -H "X-API-KEY: YOUR_API_KEY"

[
  {
    "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
    "raw_name": "rheed_video_2024_01_15.mp4",
    "char_source_type": "rheed_video",
    "pipeline_status": "success",
    "upload_datetime": "2024-01-15T10:30:00Z",
    "last_accessed_datetime": "2024-01-15T14:00:00Z",
    "physical_sample_id": "a1b2c3d4-5678-90ab-cdef-1234567890ab",
    "physical_sample_name": "GaAs-001",
    "tags": [],
    "projects": []
  }
]

Returns data catalogue items for your organization with advanced filtering options.

array

Filter by specific data entry UUIDs

array

Filter by physical sample UUIDs

string

Filter by characterization source type (e.g., rheed_video, xps, sem, optical, raman, photoluminescence, metrology)

string

default:"all"

Filter by pipeline status: success, pending, error, running, all

array

Search keywords to filter results

string

Only return entries uploaded at or after this datetime (ISO 8601)

string

Only return entries uploaded at or before this datetime (ISO 8601)

string

Only return entries last updated at or after this datetime (ISO 8601)

string

Only return entries last updated at or before this datetime (ISO 8601)

integer

Only return entries with a growth length of at least this many seconds

integer

Only return entries with a growth length of at most this many seconds

boolean

If set, filter to tagged (true) or untagged (false) data

boolean

default:"true"

Include data from the entire organization (not just your own)

integer

default:"10000"

Maximum number of results to return (max 10000)

integer

default:"0"

Number of results to skip for pagination

Response

Returns an array of data catalogue objects. Key fields shown below (the full response includes additional metadata fields).

string

Data entry UUID

string

Original filename of the uploaded data

string

Characterization source type (e.g., rheed_video, xps, sem)

string

Processing pipeline status

string

ISO 8601 timestamp of upload

string

Associated physical sample UUID

string

Name of the associated physical sample

array

Tags associated with this data entry

array

Projects this data entry belongs to

from atomscale import Client

client = Client(api_key="YOUR_API_KEY")
results = client.search(data_type="rheed_video", status="success")

import requests

response = requests.get(
    "https://api.atomscale.ai/data_entries/",
    headers={"X-API-KEY": "YOUR_API_KEY"},
    params={"data_type": "rheed_video", "limit": 50}
)
data = response.json()

curl "https://api.atomscale.ai/data_entries/?data_type=rheed_video&limit=50" \
  -H "X-API-KEY: YOUR_API_KEY"

[
  {
    "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
    "raw_name": "rheed_video_2024_01_15.mp4",
    "char_source_type": "rheed_video",
    "pipeline_status": "success",
    "upload_datetime": "2024-01-15T10:30:00Z",
    "last_accessed_datetime": "2024-01-15T14:00:00Z",
    "physical_sample_id": "a1b2c3d4-5678-90ab-cdef-1234567890ab",
    "physical_sample_name": "GaAs-001",
    "tags": [],
    "projects": []
  }
]

Authentication

Update Data Entry

Introduction

Data Catalogue

Data Upload

Projects

Physical Samples

RHEED

SEM

Spectroscopy

OES

SIMS

Optical

Metrology

Tags

Target Materials

Instruments

Response

​Response

Response