@@ -133,6 +133,7 @@ def process_sample_data_request(
133133DATASETS_TO_FETCH = [
134134 # # Example metric data
135135 CMIP6Request (
136+ "example" ,
136137 facets = dict (
137138 source_id = "ACCESS-ESM1-5" ,
138139 frequency = ["fx" , "mon" ],
@@ -144,6 +145,7 @@ def process_sample_data_request(
144145 ),
145146 # ESMValTool Climate at global warmings levels data
146147 CMIP6Request (
148+ slug = "esmvaltool-gwl" ,
147149 facets = dict (
148150 source_id = "ACCESS-ESM1-5" ,
149151 frequency = ["fx" , "mon" ],
@@ -155,6 +157,7 @@ def process_sample_data_request(
155157 ),
156158 # ESMValTool Cloud radiative effects
157159 CMIP6Request (
160+ slug = "esmvaltool-cloud-radiative-effects" ,
158161 facets = dict (
159162 source_id = "ACCESS-ESM1-5" ,
160163 frequency = ["fx" , "mon" ],
@@ -166,6 +169,7 @@ def process_sample_data_request(
166169 ),
167170 # ESMValTool ECS data
168171 CMIP6Request (
172+ slug = "esmvaltool-ecs" ,
169173 facets = dict (
170174 source_id = "ACCESS-ESM1-5" ,
171175 frequency = ["fx" , "mon" ],
@@ -177,6 +181,7 @@ def process_sample_data_request(
177181 ),
178182 # ESMValTool TCR data
179183 CMIP6Request (
184+ slug = "esmvaltool-tcr" ,
180185 facets = dict (
181186 source_id = "ACCESS-ESM1-5" ,
182187 frequency = ["fx" , "mon" ],
@@ -188,6 +193,7 @@ def process_sample_data_request(
188193 ),
189194 # ESMValTool TCRE data
190195 CMIP6Request (
196+ slug = "esmvaltool-tcre" ,
191197 facets = dict (
192198 source_id = "MPI-ESM1-2-LR" ,
193199 frequency = ["fx" , "mon" ],
@@ -198,6 +204,7 @@ def process_sample_data_request(
198204 time_span = ("1850" , "1915" ),
199205 ),
200206 CMIP6Request (
207+ slug = "esmvaltool-extra" ,
201208 facets = dict (
202209 source_id = "MPI-ESM1-2-LR" ,
203210 frequency = ["fx" , "mon" ],
@@ -209,6 +216,7 @@ def process_sample_data_request(
209216 ),
210217 # ESMValTool ZEC data
211218 CMIP6Request (
219+ slug = "esmvaltool-zec" ,
212220 facets = dict (
213221 source_id = "ACCESS-ESM1-5" ,
214222 frequency = ["fx" , "mon" ],
@@ -220,6 +228,7 @@ def process_sample_data_request(
220228 ),
221229 # ESMValTool Sea Ice Area Seasonal Cycle data
222230 CMIP6Request (
231+ slug = "esmvaltool-sea-ice" ,
223232 facets = dict (
224233 source_id = "ACCESS-ESM1-5" ,
225234 frequency = ["fx" , "mon" ],
@@ -231,6 +240,7 @@ def process_sample_data_request(
231240 ),
232241 # ILAMB data
233242 CMIP6Request (
243+ slug = "ilamb" ,
234244 facets = dict (
235245 source_id = "ACCESS-ESM1-5" ,
236246 frequency = ["fx" , "mon" ],
@@ -242,6 +252,7 @@ def process_sample_data_request(
242252 ),
243253 # ILAMB data, nbp requires a longer time span
244254 CMIP6Request (
255+ slug = "ilamb-nbp" ,
245256 facets = dict (
246257 source_id = "ACCESS-ESM1-5" ,
247258 frequency = ["mon" ],
@@ -253,6 +264,7 @@ def process_sample_data_request(
253264 ),
254265 # IOMB data
255266 CMIP6Request (
267+ slug = "iomb" ,
256268 facets = dict (
257269 source_id = "ACCESS-ESM1-5" ,
258270 frequency = ["fx" , "mon" ],
@@ -264,6 +276,7 @@ def process_sample_data_request(
264276 ),
265277 # PMP modes of variability data
266278 CMIP6Request (
279+ slug = "pmp-modes-of-variability" ,
267280 facets = dict (
268281 source_id = "ACCESS-ESM1-5" ,
269282 frequency = ["fx" , "mon" ],
@@ -274,6 +287,19 @@ def process_sample_data_request(
274287 remove_ensembles = False ,
275288 time_span = ("2000" , "2025" ),
276289 ),
290+ # PMP ENSO data
291+ CMIP6Request (
292+ slug = "pmp-enso" ,
293+ facets = dict (
294+ source_id = "ACCESS-ESM1-5" ,
295+ frequency = ["fx" , "mon" ],
296+ variable_id = ["areacella" , "ts" , "tauu" , "taux" , "hfls" , "hfss" , "rlds" , "rlus" , "rsds" , "rsus" ],
297+ experiment_id = ["historical" ],
298+ variant_label = ["r1i1p1f1" ],
299+ ),
300+ remove_ensembles = False ,
301+ time_span = ("2000" , "2025" ),
302+ ),
277303 # # Obs4MIPs AIRS data
278304 # Obs4MIPsRequest(
279305 # facets=dict(
@@ -295,11 +321,16 @@ def process_sample_data_request(
295321def create_sample_data (
296322 decimate : bool = True ,
297323 output : Path = OUTPUT_PATH ,
324+ slug : str | None = None ,
298325) -> None :
299326 """Fetch and create sample datasets"""
300327 processed_datasets = pd .DataFrame (columns = ["source_type" , "key" , "files" , "time_start" , "time_end" ])
301328
302329 for dataset_requested in DATASETS_TO_FETCH :
330+ if slug is not None and dataset_requested .slug != slug :
331+ logger .info (f"Skipping dataset { dataset_requested .slug } as it does not match the slug { slug } " )
332+ continue
333+
303334 # Process the request
304335 new_datasets = process_sample_data_request (
305336 processed_datasets ,
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