The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Error code: DatasetGenerationCastError Exception: DatasetGenerationCastError Message: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 2 new columns ({'subject_type', 'subject_id'}) and 2 missing columns ({'conversation_id', 'content'}). This happened while the csv dataset builder was generating data using hf://datasets/BreadboardLabs/CurioTreeData/converations.csv (at revision d8b9e0f9410bc014e0727d8129d24ccad1a7b701) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations) Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast id: int64 user_id: int64 subject_type: string subject_id: int64 status: string created_at: string updated_at: string -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1066 to {'id': Value(dtype='int64', id=None), 'user_id': Value(dtype='int64', id=None), 'conversation_id': Value(dtype='int64', id=None), 'content': Value(dtype='string', id=None), 'status': Value(dtype='string', id=None), 'created_at': Value(dtype='string', id=None), 'updated_at': Value(dtype='string', id=None)} because column names don't match During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1316, in compute_config_parquet_and_info_response parquet_operations, partial = stream_convert_to_parquet( File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet builder._prepare_split( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single raise DatasetGenerationCastError.from_cast_error( datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 2 new columns ({'subject_type', 'subject_id'}) and 2 missing columns ({'conversation_id', 'content'}). This happened while the csv dataset builder was generating data using hf://datasets/BreadboardLabs/CurioTreeData/converations.csv (at revision d8b9e0f9410bc014e0727d8129d24ccad1a7b701) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id
int64 | user_id
int64 | conversation_id
int64 | content
string | status
string | created_at
string | updated_at
string |
---|---|---|---|---|---|---|
2 | 179 | 2 | The owner was out watering her plants and kindly told me that it's a mahonia tree π² | PUBLISHED | 2017-05-24 16:16:50 UTC | 2017-05-24 16:17:14 UTC |
24 | 284 | 16 | Yeah, definitely, they look a lot like big bonsai trees! | PUBLISHED | 2017-05-29 18:56:15 UTC | 2017-05-29 19:16:49 UTC |
3 | 178 | 3 | πππ±π²π³ | PUBLISHED | 2017-05-24 16:24:19 UTC | 2017-05-24 16:33:04 UTC |
4 | 180 | 4 | This looks beautiful π. I'm so used to seeing hawthorn choked and lost in the depths of a hedgerow | PUBLISHED | 2017-05-24 16:38:46 UTC | 2017-05-24 17:15:29 UTC |
1 | 178 | 1 | That's a lovely example of a hawthorn. | PUBLISHED | 2017-05-24 15:45:36 UTC | 2017-05-24 17:15:55 UTC |
5 | 179 | 5 | Is that a telephone cable running right through the middle of that tree? | PUBLISHED | 2017-05-24 17:30:39 UTC | 2017-05-24 17:31:48 UTC |
6 | 180 | 5 | It surely is #overheadcable | PUBLISHED | 2017-05-24 17:32:16 UTC | 2017-05-24 17:32:16 UTC |
7 | 180 | 6 | I love the evening light in this π | PUBLISHED | 2017-05-24 21:33:13 UTC | 2017-05-25 10:23:16 UTC |
8 | 178 | 7 | Tagging #bench is a great was to search for nice shady areas to sit π³π | PUBLISHED | 2017-05-25 10:26:07 UTC | 2017-05-25 14:18:12 UTC |
10 | 178 | 9 | Olive tree hunting looks like loads of fun ππππ | PUBLISHED | 2017-05-25 18:54:13 UTC | 2017-05-25 19:48:11 UTC |
26 | 180 | 18 | Wow, I love how this tree is dwarfing everything around it | PUBLISHED | 2017-05-30 12:52:30 UTC | 2017-05-30 12:52:30 UTC |
11 | 180 | 9 | This is brilliant - looking cool dudes π | PUBLISHED | 2017-05-25 19:48:04 UTC | 2017-05-25 22:28:37 UTC |
12 | 179 | 9 | I love this photo. Super cool dudes alright | PUBLISHED | 2017-05-25 22:30:21 UTC | 2017-05-25 22:30:21 UTC |
34 | 180 | 26 | Wow, I love how hunched and gnarled this tree is. It almost looks like its carved from stone | PUBLISHED | 2017-06-01 16:06:24 UTC | 2018-05-11 16:56:49 UTC |
13 | 178 | 10 | Don't forget to tag your olive trees with #wheresolea #icogreen #londontreeweek | PUBLISHED | 2017-05-26 16:18:21 UTC | 2017-05-26 16:18:21 UTC |
15 | 179 | 12 | Nice find!! πΈπ | PUBLISHED | 2017-05-26 18:02:02 UTC | 2017-05-26 18:02:02 UTC |
14 | 179 | 11 | What a beautiful tree. I'd say it's a lot of fun to climb too | PUBLISHED | 2017-05-26 17:56:27 UTC | 2017-05-27 09:01:05 UTC |
16 | 180 | 13 | What type of tree is this? I hope it's the sort that drinks spilled beer π π» | PUBLISHED | 2017-05-27 09:03:13 UTC | 2017-05-27 11:01:33 UTC |
17 | 284 | 14 | Is that an inflatable screen? | PUBLISHED | 2017-05-27 11:40:11 UTC | 2017-05-27 12:41:40 UTC |
19 | 284 | 1 | Agreed! | PUBLISHED | 2017-05-27 11:50:01 UTC | 2017-05-27 12:41:57 UTC |
21 | 178 | 14 | "Where we're going we don't need roads" π | PUBLISHED | 2017-05-27 14:56:19 UTC | 2017-05-27 15:27:19 UTC |
18 | 284 | 4 | Yeah me too, but I love them as small trees, especially this time of year π | PUBLISHED | 2017-05-27 11:48:53 UTC | 2017-05-27 15:37:14 UTC |
20 | 179 | 14 | It is! They show films on it every few weeks during the summer. It's in an old small park in the middle of the city. Last night's film was the 'Goonies'. Next up 'Back to the Future'!! | PUBLISHED | 2017-05-27 12:45:18 UTC | 2017-05-28 06:55:16 UTC |
22 | 179 | 15 | And captured just before your arrived! | PUBLISHED | 2017-05-29 13:50:21 UTC | 2017-05-29 13:50:21 UTC |
23 | 179 | 16 | Ah, beautiful. I love the shape. It kind of looks like a giant flowering bonsai tree if that makes any sense at all π€π | PUBLISHED | 2017-05-29 15:36:46 UTC | 2017-05-29 18:56:19 UTC |
28 | 178 | 20 | Wow the trunk on those are huge! π²π²π² | PUBLISHED | 2017-05-30 13:31:08 UTC | 2017-05-30 13:31:08 UTC |
25 | 180 | 17 | Just some olive trees hanging out in the no smoking area ππ³π³ | PUBLISHED | 2017-05-30 12:00:57 UTC | 2017-05-30 14:37:23 UTC |
29 | 180 | 21 | Brilliant, I love ceibas πππ³ | PUBLISHED | 2017-05-30 15:33:06 UTC | 2017-05-30 15:33:06 UTC |
31 | 180 | 23 | These flowers are amazing, they're like little worlds | PUBLISHED | 2017-05-30 22:37:37 UTC | 2017-05-31 04:19:46 UTC |
32 | 180 | 24 | Is this some type of elm, does anyone know? | PUBLISHED | 2017-05-31 11:33:06 UTC | 2017-05-31 11:33:06 UTC |
27 | 179 | 19 | Those flowers are pretty amazing and that looks like a lovely spot for a nice relaxed breakfast | PUBLISHED | 2017-05-30 13:24:20 UTC | 2017-06-01 16:04:13 UTC |
33 | 180 | 25 | I'm amazed by how many stems are on this laburnum | PUBLISHED | 2017-06-01 15:36:48 UTC | 2017-06-02 06:24:21 UTC |
35 | 178 | 27 | Nice find ! π΅ | PUBLISHED | 2017-06-02 10:05:16 UTC | 2017-06-02 10:24:25 UTC |
36 | 178 | 28 | Thanks @edit for updating the species for me! | PUBLISHED | 2017-06-02 10:58:22 UTC | 2017-06-02 10:58:22 UTC |
37 | 179 | 29 | Ah wow, the colour is pretty striking and there's always something nice about seeing so many people gathered under trees | PUBLISHED | 2017-06-02 21:13:23 UTC | 2017-06-02 21:13:23 UTC |
39 | 180 | 31 | The colour in this is amazing. It's like light is pouring off the tree with the subdued blues and greys in the background | PUBLISHED | 2017-06-02 23:02:44 UTC | 2017-06-02 23:02:44 UTC |
40 | 180 | 32 | Quite a crown on that badboy | PUBLISHED | 2017-06-02 23:04:00 UTC | 2017-06-03 09:59:55 UTC |
38 | 180 | 30 | That's an amazing looking gingko. Love how starkly it stands out against the brickwork π²π’ | PUBLISHED | 2017-06-02 22:35:11 UTC | 2017-06-03 10:00:26 UTC |
42 | 178 | 34 | Ooh la la! π | PUBLISHED | 2017-06-03 13:44:46 UTC | 2017-06-03 13:44:46 UTC |
43 | 179 | 35 | Brilliant!!! | PUBLISHED | 2017-06-03 15:33:04 UTC | 2017-06-03 15:33:04 UTC |
44 | 179 | 36 | Brilliant!! π₯ Another Olive tree mapped | PUBLISHED | 2017-06-03 15:39:39 UTC | 2017-06-03 15:39:39 UTC |
46 | 180 | 38 | I think it is - nice find π | PUBLISHED | 2017-06-03 18:12:29 UTC | 2017-06-03 18:12:29 UTC |
45 | 180 | 37 | Wow, this is an amazing example! | PUBLISHED | 2017-06-03 17:38:49 UTC | 2017-06-03 23:17:30 UTC |
47 | 179 | 39 | Wow! Huge. I can imagine coming across it being a little like jaws - 'I think we're going to need a bigger DBH tape' | PUBLISHED | 2017-06-03 23:21:46 UTC | 2017-06-03 23:21:46 UTC |
41 | 180 | 33 | βΊ being able to see the seasonal differences here is brilliant. Nice one | PUBLISHED | 2017-06-03 10:00:10 UTC | 2017-06-04 07:28:29 UTC |
49 | 284 | 30 | Is it producing fruit? | PUBLISHED | 2017-06-04 07:30:12 UTC | 2017-06-04 12:17:28 UTC |
51 | 179 | 30 | I don't think so . At least not at the moment. Apparently the fruit can be really smelly which I didn't know about | PUBLISHED | 2017-06-04 12:18:37 UTC | 2017-06-04 12:18:37 UTC |
52 | 179 | 30 | Are there any in Malmo? | PUBLISHED | 2017-06-04 12:19:04 UTC | 2017-06-04 12:19:04 UTC |
30 | 284 | 22 | Mannaask va? | PUBLISHED | 2017-05-30 21:21:50 UTC | 2017-08-31 05:51:13 UTC |
48 | 284 | 33 | Thanks π | PUBLISHED | 2017-06-04 07:28:27 UTC | 2017-11-27 21:38:34 UTC |
54 | 284 | 30 | how do you know this tree is female? | PUBLISHED | 2017-06-04 14:03:54 UTC | 2017-06-04 14:10:02 UTC |
55 | 179 | 30 | Ah cool, I must try and see if I can find some ginko trees next time I'm in Malmo. I was in the company of a few tree experts, they filled me in on the details of the female ginko | PUBLISHED | 2017-06-04 14:12:06 UTC | 2017-06-04 14:12:06 UTC |
56 | 284 | 41 | That looks like either a Turkey oak or a Lucombe oak. Do you know if the leaves stay on the tree in winter? | PUBLISHED | 2017-06-04 14:22:57 UTC | 2017-06-04 20:11:48 UTC |
53 | 284 | 30 | Yes, there are plenty of Ginkgo trees in MalmΓΆ, mostly male but a few female trees that produce fruit, and some we aren't sure about yet. The fruit really is smelly (like vomit), but apparently they eat part of it in China, though I think it's the seed and not the pulp. | PUBLISHED | 2017-06-04 14:03:28 UTC | 2017-06-04 21:50:31 UTC |
61 | 284 | 30 | Haha π | PUBLISHED | 2017-06-04 18:51:01 UTC | 2017-06-04 23:00:15 UTC |
58 | 284 | 30 | Oh, ok π Do you know if there's a good way of telling the female from the male without flowers/fruit? | PUBLISHED | 2017-06-04 14:27:15 UTC | 2017-06-04 14:27:15 UTC |
57 | 179 | 41 | I don't unfortunately but maybe now I have a good excuse for another trip to London. Thanks for your help with this Edit!! | PUBLISHED | 2017-06-04 14:26:35 UTC | 2017-06-04 14:27:38 UTC |
62 | 178 | 40 | Oooh! So prunus serulata maybe? | PUBLISHED | 2017-06-04 20:09:57 UTC | 2017-06-04 20:09:57 UTC |
50 | 284 | 40 | Looks like some sort of cherry tree. | PUBLISHED | 2017-06-04 07:31:43 UTC | 2017-06-04 20:10:02 UTC |
59 | 179 | 30 | The people I was with are local Londoners so I'd say they had seen it flowering. They probably smelt it flowering too! βΊοΈ | PUBLISHED | 2017-06-04 15:15:05 UTC | 2017-06-04 21:50:53 UTC |
60 | 180 | 42 | Wow, that's quite a beech tree! #huge | PUBLISHED | 2017-06-04 18:20:03 UTC | 2017-06-04 23:02:48 UTC |
64 | 284 | 43 | Men vΓ€ldigt vacker i sitt fΓΆrfall! | PUBLISHED | 2017-06-05 05:07:20 UTC | 2017-06-05 08:20:32 UTC |
66 | 179 | 44 | Wow! What an amazing find! It's beautiful and HUGE! | PUBLISHED | 2017-06-05 13:06:02 UTC | 2017-06-05 14:07:18 UTC |
67 | 284 | 45 | wow! | PUBLISHED | 2017-06-05 15:51:15 UTC | 2017-06-05 15:51:15 UTC |
65 | 568 | 43 | JΓ€klar vad kul vi trΓ€dnΓΆrdar ska ha med denna app! Tack fΓΆr tipset Edit! Och det fΓΆrvΓ₯nar mig inte ett dugg att du redan Γ€r hΓ€r och lΓ€gger upp bilder Anton. | PUBLISHED | 2017-06-05 07:45:40 UTC | 2017-06-05 15:52:20 UTC |
68 | 284 | 43 | Ja det kommer att bli kanon! HΓΆr gΓ€rna av er till utvecklarna om ni stΓΆter pΓ₯ nΓ₯gra problem eller buggar sΓ₯ att vi kan fortsΓ€tta att gΓΆra appen bΓ€ttre! | PUBLISHED | 2017-06-05 15:54:51 UTC | 2017-06-05 15:54:51 UTC |
69 | 180 | 46 | I love how this shot looks like an architect's render π | PUBLISHED | 2017-06-08 12:21:49 UTC | 2017-06-08 13:55:15 UTC |
70 | 179 | 47 | What a lovely shot. It's cool seeing the needles silhouetted against the sky like that | PUBLISHED | 2017-06-08 13:59:25 UTC | 2017-06-08 13:59:25 UTC |
71 | 178 | 48 | Wow! Are they pink helicopter seeds? ππ· | PUBLISHED | 2017-06-09 10:57:19 UTC | 2017-06-09 13:09:30 UTC |
72 | 178 | 48 | Oh and apparently they're called 'samaras' | PUBLISHED | 2017-06-09 11:02:16 UTC | 2017-06-09 13:09:33 UTC |
73 | 179 | 48 | Ah cool!! I didn't know that | PUBLISHED | 2017-06-09 13:09:50 UTC | 2017-06-09 13:09:50 UTC |
63 | 284 | 40 | Could be π | PUBLISHED | 2017-06-04 20:58:08 UTC | 2017-06-11 23:01:51 UTC |
74 | 178 | 49 | That looks like a pine tree to me. Anyone know what type? | PUBLISHED | 2017-06-13 13:50:51 UTC | 2017-06-13 13:50:51 UTC |
75 | 178 | 50 | Great way to capture all the trees characteristics in one photo πππ | PUBLISHED | 2017-06-15 10:06:42 UTC | 2017-06-15 12:29:41 UTC |
76 | 180 | 51 | This may seem really obvious but is it called an ironwood because the wood is particularly hard? | PUBLISHED | 2017-06-15 12:31:38 UTC | 2017-06-15 12:31:38 UTC |
78 | 179 | 53 | Wow! That looks like a pretty cool spot and not a bad place to sit down and relax for a while | PUBLISHED | 2017-06-15 13:46:21 UTC | 2017-06-15 13:46:21 UTC |
77 | 179 | 52 | What an amazing peachy pink colour | PUBLISHED | 2017-06-15 13:44:23 UTC | 2017-06-16 17:30:48 UTC |
79 | 284 | 52 | Yes it's almost surreal! | PUBLISHED | 2017-06-16 17:31:31 UTC | 2017-06-16 17:41:30 UTC |
80 | 653 | 54 | Wrong comment sorry | PUBLISHED | 2017-06-17 07:23:11 UTC | 2017-06-17 07:23:11 UTC |
82 | 179 | 56 | A proper rubber tree!! That's very cool | PUBLISHED | 2017-06-19 13:48:02 UTC | 2017-06-19 13:48:02 UTC |
83 | 179 | 57 | Those flowers look amazing | PUBLISHED | 2017-06-20 12:00:51 UTC | 2017-06-20 12:00:51 UTC |
81 | 179 | 55 | That's a pretty cool shot. It's always cool seeing huge crowds moving along tree lined streets. I hope the game was good too π | PUBLISHED | 2017-06-19 13:46:46 UTC | 2017-06-20 15:37:41 UTC |
84 | 517 | 57 | Yes.. but I don't know its name π’ | PUBLISHED | 2017-06-20 19:52:10 UTC | 2017-06-20 19:52:10 UTC |
85 | 179 | 58 | Those flowers are amazing | PUBLISHED | 2017-06-21 21:04:12 UTC | 2017-06-21 21:04:12 UTC |
86 | 179 | 58 | I found out what species of tree this is. Apparently it is a Albizia julibrissin | PUBLISHED | 2017-06-22 11:25:49 UTC | 2017-06-22 13:50:36 UTC |
89 | 178 | 59 | Some great oak trees down in Fota wildlife park! ππ
ππ² | PUBLISHED | 2017-06-22 15:20:43 UTC | 2017-06-22 15:20:43 UTC |
92 | 269 | 61 | Looking at all the trees in Malaga is making me want to go on holiday! | PUBLISHED | 2017-06-22 19:46:43 UTC | 2017-06-22 19:46:43 UTC |
93 | 180 | 62 | Hey monicapg, thanks for letting me know the species of this tree π | PUBLISHED | 2017-06-22 19:49:13 UTC | 2017-06-22 19:49:13 UTC |
94 | 180 | 63 | Love this picture πΌπΌπ³ | PUBLISHED | 2017-06-22 19:51:50 UTC | 2017-06-22 19:51:50 UTC |
95 | 180 | 64 | I think this is a baobab tree. Awesome! | PUBLISHED | 2017-06-22 19:53:59 UTC | 2017-06-22 19:53:59 UTC |
98 | 517 | 62 | You are welcome! | PUBLISHED | 2017-06-22 20:15:30 UTC | 2017-06-22 20:15:30 UTC |
100 | 517 | 61 | Thank you.. Estepona has amazing trees βΊ | PUBLISHED | 2017-06-22 20:26:50 UTC | 2017-06-22 20:26:50 UTC |
88 | 517 | 58 | I found it yesterday βΊ | PUBLISHED | 2017-06-22 12:13:50 UTC | 2017-06-22 22:29:27 UTC |
87 | 517 | 58 | Yes.. It is. | PUBLISHED | 2017-06-22 12:08:37 UTC | 2017-06-22 22:29:27 UTC |
90 | 178 | 58 | 2 nature detectives π΅π΅π³π | PUBLISHED | 2017-06-22 15:22:22 UTC | 2017-06-22 22:29:30 UTC |
99 | 517 | 58 | π | PUBLISHED | 2017-06-22 20:19:43 UTC | 2017-06-22 22:29:34 UTC |
91 | 178 | 60 | Happy tree hunting Jorgen! π΅π³ | PUBLISHED | 2017-06-22 15:30:11 UTC | 2017-06-22 22:30:40 UTC |
101 | 179 | 58 | Well one good nature detective and one Conor π. It's such a cool looking tree. It seems like Malaga is the place to go for cool and unusual trees | PUBLISHED | 2017-06-22 22:48:15 UTC | 2017-06-22 22:48:15 UTC |
102 | 517 | 58 | You are a very good detective as well.. π Estepona is a good place for visiting trees | PUBLISHED | 2017-06-23 07:36:42 UTC | 2017-06-23 08:52:22 UTC |
105 | 179 | 66 | The exposed roots are really cool looking | PUBLISHED | 2017-06-26 15:29:37 UTC | 2017-06-26 15:29:37 UTC |
The Curio Tree Dataset
This dataset contains much of the tree inventory, images and stories data that was collected on the Curio platform before it was sunset. The data was extraced from a number of database tables and includes;
- The inventory details of 2.5 millions trees from locations across the globe (location, species, diameter at breast height (DBH), height, vitality etc, where available)
- 27,288 images of trees that were uploaded onto the platform by our community and linked to individual trees and their species information etc.
- Notes (stories), tags and conversations linked to trees.
Dataset Description
Curio was an environmental education and outreach platform that was predominantly focused on urban forestry. It connected the various stakeholders involved in the management of urban forestry with the public and importantly made all data uploaded via its web and mobile apps publicly available. The platform was live from March 2016 until August 2023 when the maintainence overheads made its ongoing availability infeasible. Curio was supported in its early stages by two European Space Agency projects, through the New Commons and Curio Canopy. A sense of the platform and how it worked can be found via the videos on its supporting youtube channel
This repository contains much of the tree inventory, images and stories data that was collected on the platform via our community, projects we helped support and open data tree inventories we uploaded onto the platform. We are keen to make this data available for research purposes in the hope it might be of benefit to others and to further the efforts of our community.
We have endeavored to name as many of those great projects and data sources that were hosted on the Curio platform in the attribution section below. If there are any omissions or errors please contact us.
A related project involved generating a high resolution map of tree canopy cover for the Greater London Authority. Details of that project and dataset can be found on the London Datastore Curio Canopy page.
- Curated by: Breadboard Labs
- License: cc-by-nc-4.0
Dataset Sources and Attribution
Many people picked up the app and contributed to the data that was collected. Curio was also used to support many great projects and initiatives. We have endeavoured to mention many of those projects below along with the open data tree inventories we uploaded onto the platform.
Collaborative projects supported by Curio
Dublin City Councilβs Parks, Biodiversity and Landscape Services & School of Geography at University College Dublin - Tree Mapping Dublin
Municipality of Oslo Agency for Urban Environment - Inventory and ecosystem services report hosting
Mountshannon Arboretum - Forester Bernard Carey initiated the Mountshannon i-Tree project, in conjunction with UCD and UK-based consultancy Treeconomics.
SLU - Alnarp - SkΓ₯ne Tree Inventory and support for and involvement in the New Commons and Curio Canopy projects
MalmΓΆ Stad - MalmΓΆ Tree Inventory and support for and involvement in the New Commons and Curio Canopy projects
Open Data Sources Attribution
The Greater London Authority Datastore - Local Authority Maintained Trees
NYC OpenData - 2015 Street Tree Census - Tree Data
Open Data BDN - Street trees of the city of Barcelona
Open Data Bristol - Trees
Open Data NI - Belfast City Trees
Denver Open data - Tree Inventory
Open Data DK - City of Copenhagen Trees
Palo Alto Open Data - Palo Alto Trees
Fingal County Council Open Data - Fingal County Council Trees
Data SA - City of Adelaide Street Trees
Open Data Boulder Colorado - Tree Inventory Open Data
Biodiversity Ireland - Hertitage Trees Ireland
Birmingham City Council Trees
Uses
The data is free to be used for research purposes subject to the cc-by-nc-4.0 licence and suitable attribution, please see the citation section below
Some potential uses might include;
- Investigations into urban tree biodiversity.
- The development of algorithms for extracting tree attributes via photos or streetview imagery.
- A tree species detection app.
- The detection trees of via satellite imagery.
- Species identfiication via hyperspectral tree.
It worth noting that for most use-cases cleaning, analysis and processing of data will be necessary. The completeness of tree inventory data varies greatly and users were not directed in anyway in terms of how to frame the photos they took and uploaded via the Curio app.
Dataset Structure
TaggedTrees
Number of data points: 2,593,139
The details of an individual tree including its location, species, diameter at breast height (dbh), vitality etc. when available
Images
Number of data points: 27,288
The details of images that were uploaded to the platform. The path to the actual image uploaded, this can be found in uploads directory. The details of what the image was attached to which usually was a βStoryβ that was then attached to a tree are also included.
Uploads:
The set of images referenced in the images data file. The set of images was quite large even when zipped and so was broken up into 10gb chunks. Download each of the chunks and then run unzip on the uploads.zip file
A folder containing downsized versions of the images based on a fixed width has also been included - resized-uploads-width1200.zip
Stories:
The details of a story that was attached to tree
Notes:
The text included in a story/note about a tree.
Conversations & Comments:
Comments grouped by conversations linked to a particular Story
TreeSpecies
The tree species dictionary we built to support the platform. Each TaggedTree has a tree_species_id that references an entry in this dictionary when populated.
TreeSpeciesAliases
The local names across multiple languages that can used to describe a species of tree contained in the TreeSpecies dictionary
Tags and Taggings
Trees could be tagged with details such as diseased, monitored, newly_planted, apples, overhead cables etc. Anything at all really that could later be used to filter, group or identify trees of interest as well describe their state.
Dataset Creation
Curation Rationale
The goal of the Curio platform was to educate, engage and democratised access to environmenatal information. Making the data collected on the platform available in this form is seen as an extension of that mission.
Data Collection and Processing
All data was collected via the Curio app by its community. Where inventory data was uploaded in bulk we preprocessed the data to ensure details such as species information where mapped to the species dictionary we deinfed and that has been included in this release.
Before making the data available on this platform we decided to run face detection and blur any obvious, detectable faces found in the images that have been included.
Citation [optional]
@misc{CurioTreeData, title = {The Curio Tree Dataset}, author = {Conor Nugent and Paul Hickey}, year = {2023}, publisher = {HuggingFace}, journal = {HuggingFace repository}, howpublished = {\url{https://https://huggingface.co/datasets/BreadboardLabs/CurioTreeData}}, }
Dataset Card Authors
Conor Nugent and Paul Hickey
Dataset Card Contact
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