Example Solr queries
For additional examples and explanations, check out the Apache Lucene Query Parser Syntax page.
Query multiple fields
You can use either spaces or + to separate query
parameters. When typing queries in R, it’s often easier to read if you
use spaces. However, when using the browser, you may want to use
+ to keep the query clean. (The browser will replace spaces
with %20.)
Query by formatType
Objects are queryable via their formatType which is one of DATA, METADATA, or RESOURCE.
result <- query(adc, list(q = 'formatType:RESOURCE AND submitter:"http://orcid.org/0000-0002-2561-5840"',
fl = 'identifier,submitter,fileName',
sort = 'dateUploaded+desc',
rows='10'),
as = "data.frame")
result <- query(adc, list(q = 'formatType:METADATA AND title:*Toolik*',
fl = 'identifier,submitter,fileName',
sort = 'dateUploaded+desc',
rows='10'),
as = "data.frame")Query for EMLs that document a specific data pid
# Wrap the pid in escaped quotation marks if it contains special characters
query(adc, list(q = paste0('documents:', '\"', 'urn:uuid:f551460b-ce36-4dd3-aaa6-3a6c6e338ec9', '\"'),
fl = "identifier",
rows="20"),
as = "data.frame")
# Alternatively we can use a wildcard expression in place of "urn:uuid:"
# This way we don't need to escape the colon special characters
query(adc, list(q = paste0("documents:*f551460b-ce36-4dd3-aaa6-3a6c6e338ec9"),
fl = "identifier",
rows="20"),
as = "data.frame")Query for files uploaded during a specific time
query(adc, list(q="dateUploaded:[2020-05-06T00:00:00Z TO NOW]",
fl="title,identifier,resourceMap,dateUploaded,dateModified",
sort = "dateUploaded+desc",
rows="200"),
as = "data.frame")## identifier
## 1 resource_map_doi:10.18739/A21Z41V65
## 2 doi:10.18739/A21Z41V65
## 3 resource_map_urn:uuid:0010cbf6-ab79-4df8-bfe9-b0ab4a9fdc75
## 4 urn:uuid:0010cbf6-ab79-4df8-bfe9-b0ab4a9fdc75
## 5 resource_map_urn:uuid:15320c15-b8a2-46c2-aca9-762d6c893579
## 6 urn:uuid:34a9d181-520c-4337-8285-912d3547d34c
## 7 resource_map_doi:10.18739/A25Q4RN8Z
## 8 doi:10.18739/A25Q4RN8Z
## 9 resource_map_urn:uuid:b0180a29-1fff-46ba-ac9f-b11af5c522db
## 10 urn:uuid:b0180a29-1fff-46ba-ac9f-b11af5c522db
## 11 resource_map_urn:uuid:feea6755-d9e0-404a-86a0-7c8362b356f8
## 12 urn:uuid:feea6755-d9e0-404a-86a0-7c8362b356f8
## 13 resource_map_urn:uuid:25f78ffd-a63d-4f88-a6e1-82af0f83f330
## 14 urn:uuid:25f78ffd-a63d-4f88-a6e1-82af0f83f330
## 15 resource_map_urn:uuid:5be9caa4-dd27-49d3-ab3a-3413ff8be000
## 16 urn:uuid:54e0fc01-668d-47bb-8412-2615c67320d3
## 17 resource_map_doi:10.18739/A2BG2HC00
## 18 doi:10.18739/A2BG2HC00
## 19 resource_map_urn:uuid:02c6629f-49e1-441b-a006-a584a4cd1b70
## 20 urn:uuid:02c6629f-49e1-441b-a006-a584a4cd1b70
## 21 urn:uuid:5ae5936c-746e-4ba7-afdf-74cea7975c6d
## 22 urn:uuid:761966c5-11a8-47d0-a917-36dc10711ead
## 23 resource_map_urn:uuid:15652a6b-d0bb-4b44-93ef-84a597ca79b8
## 24 urn:uuid:24cef261-c25d-4e8b-89ff-6a011ad22cfc
## 25 urn:uuid:3f6b30f3-cb2b-4fa0-beb0-196d5366c5ad
## 26 urn:uuid:a6119dcb-2714-4db5-ace8-80d1a07342e0
## 27 resource_map_doi:10.18739/A2Z60C41R
## 28 doi:10.18739/A2Z60C41R
## 29 resource_map_doi:10.18739/A29G5GG2Q
## 30 doi:10.18739/A29G5GG2Q
## 31 doi:10.18739/A2F76687B
## 32 urn:uuid:b416270c-c8a3-49c0-839c-7c44e0650fe2
## 33 resource_map_doi:10.18739/A2PR7MW54
## 34 doi:10.18739/A2PR7MW54
## 35 resource_map_urn:uuid:c78a97d9-d4c5-46a3-aa54-6853452dcba1
## 36 urn:uuid:110cb7bd-6bff-4d3c-8772-48681b04baf9
## 37 resource_map_doi:10.18739/A2TH8BP8S
## 38 doi:10.18739/A2TH8BP8S
## 39 resource_map_urn:uuid:3b0da169-9061-4a23-b090-3cbf7489fbf9
## 40 urn:uuid:d2cb331d-8809-457a-8076-f48521827aa2
## 41 resource_map_urn:uuid:af67f912-96a6-4524-9224-f1f2c03ee58f
## 42 urn:uuid:af67f912-96a6-4524-9224-f1f2c03ee58f
## 43 urn:uuid:0d74dc46-16c4-4192-814e-9cb32d47f3e9
## 44 resource_map_doi:10.18739/A22Z12R5X
## 45 doi:10.18739/A22Z12R5X
## 46 resource_map_doi:10.18739/A26Q1SJ9P
## 47 doi:10.18739/A26Q1SJ9P
## 48 resource_map_urn:uuid:d8ed9446-eede-4837-a858-86a80b44dffc
## 49 urn:uuid:d8ed9446-eede-4837-a858-86a80b44dffc
## 50 resource_map_doi:10.18739/A2VD6P67P
## 51 doi:10.18739/A2VD6P67P
## 52 urn:uuid:0055cf83-af20-480b-9886-39ac2e606ff4
## 53 urn:uuid:4747a1e4-3087-424c-8adf-83a8b7430869
## 54 urn:uuid:d55a1604-5b6f-43f9-bb0a-aeca1c0f044e
## 55 resource_map_doi:10.18739/A2BG2HC4X
## 56 doi:10.18739/A2BG2HC4X
## 57 resource_map_doi:10.18739/A2G737582
## 58 doi:10.18739/A2G737582
## 59 resource_map_doi:10.18739/A2M03Z02F
## 60 doi:10.18739/A2M03Z02F
## 61 urn:uuid:a0bdc784-d219-4f48-812a-9486e0876a08
## 62 urn:uuid:6b7c92fd-a301-4223-8a4f-4fe539e374e7
## 63 urn:uuid:dd29ccd6-2c38-4a40-a72f-719a37b26d19
## 64 urn:uuid:97230bc2-e275-4f34-8516-883e1d623292
## 65 urn:uuid:c40c1be6-d16d-4773-90fe-bb74d9fabdf5
## 66 urn:uuid:0a9a547c-ab5b-484f-b2b0-e173494a2a31
## 67 urn:uuid:bce8638f-66c1-4e07-b98a-00766af46df8
## 68 urn:uuid:1aa13257-802a-4156-9650-bb871063a0ea
## 69 resource_map_urn:uuid:f3f55b10-3e03-47e2-a6e6-eeadf4c51755
## 70 urn:uuid:27a7aa7d-3bb5-416a-9c48-5cd1c1d10597
## 71 resource_map_urn:uuid:9fb000cd-d121-4c96-83bb-8c34e9949a5d
## 72 urn:uuid:3a89964e-b0f3-4d4c-b31f-7a70520e46d7
## 73 resource_map_urn:uuid:0095372b-4337-427e-abda-9f51b2658144
## 74 urn:uuid:676464a6-1cb8-4127-a287-d5b061ecf8dc
## 75 resource_map_urn:uuid:415d53c0-4455-4543-a2a8-aeac5c9f7a0c
## 76 urn:uuid:15f5bb8c-cc2e-46e1-b790-fa67447999cf
## 77 urn:uuid:d3e4a8e0-b64c-4983-a682-8febc3f09a39
## 78 urn:uuid:360db4a4-07bf-4641-94f8-4ca3abce8063
## 79 resource_map_doi:10.18739/A2QR4NS5C
## 80 doi:10.18739/A2QR4NS5C
## 81 resource_map_doi:10.18739/A2RN3092P
## 82 doi:10.18739/A2RN3092P
## 83 resource_map_urn:uuid:1c3295c0-7823-4ea6-9a2a-44157ec0b7f3
## 84 urn:uuid:1c3295c0-7823-4ea6-9a2a-44157ec0b7f3
## 85 resource_map_urn:uuid:77fcd3ed-64da-47e6-84d2-7cff21a329c8
## 86 urn:uuid:dab3aa1f-0fb6-447e-b927-608351e317fa
## 87 resource_map_urn:uuid:d52187d5-aa96-49c8-a027-597a93a62361
## 88 urn:uuid:8b009895-d2ca-47c1-891f-0a6e5936bc9a
## 89 urn:uuid:c424189c-3ef2-4c98-8656-cfb26664ad6a
## 90 urn:uuid:dae1ade6-a03f-40be-aff1-8c4f3731e875
## 91 urn:uuid:d2d914fd-e839-4068-aa7d-b5baa07ce720
## 92 urn:uuid:cd986a9e-e89f-4f4f-a03d-e8812d306f99
## 93 urn:uuid:56e032ea-c254-4ac5-9f89-ab2609c96b1c
## 94 urn:uuid:4332caba-a3e0-430f-951f-f632d11c54b0
## 95 resource_map_urn:uuid:4e8773b4-574c-4e99-9967-3d56ad06c151
## 96 urn:uuid:d8056f24-1843-42b4-a830-af4f7679486c
## 97 resource_map_urn:uuid:5b5fc40a-7c8b-4600-bc79-4400bc42f684
## 98 urn:uuid:f35d4cfe-cca4-4d0a-a0c7-1a5b6e47161b
## 99 resource_map_urn:uuid:b6abc48c-6acf-4ba0-b0fb-5b8bd6935f49
## 100 urn:uuid:3bfc4b80-3817-42d1-aedd-a65ecafaff8b
## 101 resource_map_urn:uuid:6cdefc39-b712-4d60-ae5f-4551311078d1
## 102 urn:uuid:e2b0d1e3-588e-41a0-a3e4-ee674660939f
## 103 resource_map_urn:uuid:5d7d7cc6-800e-4829-8f58-82bd42bb015d
## 104 urn:uuid:f13b05e1-93bc-4b53-95ee-d02b4d27277a
## 105 resource_map_urn:uuid:6fb2116e-0912-418f-9664-01c6a6c9874e
## 106 urn:uuid:8dfa49d0-699d-473f-8112-016e4caba10d
## 107 resource_map_urn:uuid:721599de-0329-4a09-90fc-c0a9f2eb8587
## 108 urn:uuid:721599de-0329-4a09-90fc-c0a9f2eb8587
## 109 resource_map_urn:uuid:491cfc9d-8c74-4d7f-bb16-38e6ec1d095d
## 110 urn:uuid:491cfc9d-8c74-4d7f-bb16-38e6ec1d095d
## 111 resource_map_urn:uuid:495a1df0-5085-417d-9f58-8e99826ac6a4
## 112 urn:uuid:495a1df0-5085-417d-9f58-8e99826ac6a4
## 113 resource_map_urn:uuid:09b3b50c-e18e-4e74-8acc-28f31afe1e69
## 114 urn:uuid:09b3b50c-e18e-4e74-8acc-28f31afe1e69
## 115 urn:uuid:c477de02-504c-43d5-a2b4-112d5c2d6485
## 116 urn:uuid:fb511ef1-7d48-42b5-9a3d-abcb957ebc89
## 117 urn:uuid:5f000611-b363-4402-996e-25361f19a4b4
## 118 urn:uuid:cd01ecf0-b470-4dca-94c2-5be39d21f95c
## 119 urn:uuid:7dd3943b-cba8-46ea-903b-441d2df20ea1
## 120 urn:uuid:0b9cb2c0-00a1-4c8d-ae4a-248e23f38cd4
## 121 urn:uuid:bcb2647c-7e96-4863-a719-8978343d1a73
## 122 urn:uuid:8bd2445f-4940-4092-98b8-631d3d2c97c5
## 123 urn:uuid:ec11943e-8a2b-4a4a-901b-88b9bc790b41
## 124 urn:uuid:352e4618-3e4e-4214-83ef-0d30d63ddf92
## 125 urn:uuid:2cbf802f-6cbd-4b87-9135-7f830da3c3be
## 126 urn:uuid:e5d58a02-d035-4886-b3fa-810eae849415
## 127 resource_map_urn:uuid:a2730eb8-098f-4a56-b958-c1860ce66909
## 128 urn:uuid:78e3c2d4-e8df-4136-82f0-cf41db21fcff
## 129 resource_map_urn:uuid:2e033fdc-5fe0-4c35-8f37-4c13aeb4de96
## 130 urn:uuid:c4b6ed41-bc08-45be-b692-70cbd874c218
## 131 resource_map_doi:10.18739/A2CF9J84M
## 132 doi:10.18739/A2CF9J84M
## 133 resource_map_doi:10.18739/A2H708289
## 134 doi:10.18739/A2H708289
## 135 resource_map_doi:10.18739/A2GM81Q8F
## 136 doi:10.18739/A2GM81Q8F
## 137 resource_map_doi:10.18739/A2WD3Q35Z
## 138 doi:10.18739/A2WD3Q35Z
## 139 resource_map_urn:uuid:d6b7c83f-9b6e-4eea-bd09-d615da8fd60b
## 140 urn:uuid:8c171b60-9c2c-4e41-b0e2-c46accfa850a
## 141 resource_map_urn:uuid:1a1defdd-036d-4e83-87eb-9985b9db6c47
## 142 urn:uuid:9780944f-8322-4c36-b16e-3eeab4ac60b8
## 143 resource_map_urn:uuid:f9a15260-683a-47f4-bfe4-7d6790d9e75f
## 144 urn:uuid:54dede8d-ebb6-44a8-bc8f-14d848728263
## 145 resource_map_urn:uuid:57622f23-967f-403a-b0ea-c7d59ba98126
## 146 urn:uuid:a51a38ae-5466-4482-907a-372b7e350a7a
## 147 resource_map_urn:uuid:7a117154-4959-44c9-9544-e39d1e39a39f
## 148 urn:uuid:fe8c29eb-b638-4927-9ef7-95282d2564d5
## 149 resource_map_urn:uuid:9978849d-7f29-4f88-8f07-66890ac1f9cc
## 150 urn:uuid:dd17ac64-6672-4e32-8441-6eb8421f70d7
## 151 resource_map_urn:uuid:6a825795-93a8-44ea-abcd-458bb72101ad
## 152 urn:uuid:a1dbde5a-25f8-43ef-a6de-7b8fafbde99b
## 153 resource_map_urn:uuid:dc072124-c200-49fc-87f3-4cc9741ffa2a
## 154 urn:uuid:4900ea2a-ffdc-45a3-9b98-804263c435da
## 155 resource_map_urn:uuid:efe79d02-c302-452e-a248-6d587239e472
## 156 urn:uuid:efe79d02-c302-452e-a248-6d587239e472
## 157 resource_map_urn:uuid:9fbed760-46b4-4344-a90b-6381fedf2b79
## 158 urn:uuid:0c94b4b1-92e4-4bf4-b3e9-5f4ab3614540
## 159 resource_map_urn:uuid:6702dd1a-cc55-4998-a5c6-77ba057f29fe
## 160 urn:uuid:6702dd1a-cc55-4998-a5c6-77ba057f29fe
## 161 resource_map_urn:uuid:15585e89-18af-4276-8966-1b72995abc45
## 162 urn:uuid:656a8fd6-b597-4cf6-a8ba-9587e21905f0
## 163 resource_map_urn:uuid:17034ba4-e404-4308-bc1c-670a2d900ac7
## 164 urn:uuid:17034ba4-e404-4308-bc1c-670a2d900ac7
## 165 resource_map_urn:uuid:1dfdc011-9ae7-4794-b218-f770c99919f7
## 166 urn:uuid:33c41626-c0d8-4d6f-8789-4a0b1f02d8fc
## 167 resource_map_urn:uuid:94a7fabd-48d4-4fde-a539-665a0ba166af
## 168 urn:uuid:94a7fabd-48d4-4fde-a539-665a0ba166af
## 169 resource_map_urn:uuid:db698007-b1a9-47a4-ac46-bec8442c30ce
## 170 urn:uuid:af89ddf5-4f06-44b7-ab1b-9c52a313eafb
## 171 resource_map_urn:uuid:534163d3-3ca9-4159-aac4-e66f88f34ac8
## 172 urn:uuid:534163d3-3ca9-4159-aac4-e66f88f34ac8
## 173 resource_map_doi:10.18739/A2TT4FV8V
## 174 doi:10.18739/A2TT4FV8V
## 175 resource_map_doi:10.18739/A2707WQ62
## 176 doi:10.18739/A2707WQ62
## 177 resource_map_1_doi:10.18739/A2RN30916
## 178 resource_map_doi:10.18739/A2RN30916
## 179 doi:10.18739/A2RN30916
## 180 resource_map_urn:uuid:b2d3481c-1083-4350-aaf2-4f7904b3322c
## 181 urn:uuid:b2d3481c-1083-4350-aaf2-4f7904b3322c
## 182 resource_map_urn:uuid:94f950a3-1890-456e-a9f6-d5588906619b
## 183 urn:uuid:94f950a3-1890-456e-a9f6-d5588906619b
## 184 resource_map_doi:10.18739/A28P5VB9M
## 185 doi:10.18739/A28P5VB9M
## 186 resource_map_urn:uuid:413b5eb2-3885-474a-82c1-b6d95f65313d
## 187 urn:uuid:b70c8e80-63c7-4035-b0c9-40bb6613e732
## 188 urn:uuid:0cf43016-dd25-4906-9cb2-035a5d48cd1f
## 189 urn:uuid:14fe8863-cc29-4ab8-b47d-f56227ee3f8a
## 190 urn:uuid:b2b590e4-2a63-492c-8d91-af322ae3cc99
## 191 urn:uuid:332e7185-9b5b-4ffe-98a6-e99186be2276
## 192 urn:uuid:067c7911-a947-4848-a16b-26ea921680f7
## 193 resource_map_doi:10.18739/A2DF6K53C
## 194 doi:10.18739/A2DF6K53C
## 195 resource_map_doi:10.18739/A2251FN18
## 196 doi:10.18739/A2251FN18
## 197 urn:uuid:c9c83d5c-701b-4c4f-af8f-8b55b904ed7c
## 198 resource_map_doi:10.18739/A29P2W79V
## 199 doi:10.18739/A29P2W79V
## 200 resource_map_doi:10.18739/A2J678Z6M
## dateUploaded dateModified
## 1 2025-03-04 17:52:19 2025-03-04 17:52:20
## 2 2025-03-04 17:52:11 2025-03-04 17:52:16
## 3 2025-03-04 17:48:09 2025-03-04 17:52:19
## 4 2025-03-04 17:48:00 2025-03-04 17:52:15
## 5 2025-03-04 11:18:54 2025-03-04 17:48:09
## 6 2025-03-04 11:18:47 2025-03-04 17:48:05
## 7 2025-03-03 23:50:07 2025-03-04 11:18:54
## 8 2025-03-03 23:49:57 2025-03-04 11:18:51
## 9 2025-03-03 23:47:08 2025-03-03 23:50:07
## 10 2025-03-03 23:47:01 2025-03-03 23:50:02
## 11 2025-03-03 23:43:36 2025-03-03 23:47:09
## 12 2025-03-03 23:43:27 2025-03-03 23:47:04
## 13 2025-03-03 23:32:23 2025-03-03 23:43:36
## 14 2025-03-03 23:32:15 2025-03-03 23:43:32
## 15 2025-03-03 21:54:31 2025-03-03 23:32:24
## 16 2025-03-03 21:54:26 2025-03-03 23:32:18
## 17 2025-03-03 21:16:36 2025-03-03 21:16:37
## 18 2025-03-03 21:16:24 2025-03-03 21:16:31
## 19 2025-03-03 20:57:42 2025-03-03 21:54:32
## 20 2025-03-03 20:57:32 2025-03-03 21:54:30
## 21 2025-03-03 20:57:30 2025-03-04 17:51:57
## 22 2025-03-03 20:57:29 2025-03-04 17:52:07
## 23 2025-03-03 19:46:24 2025-03-03 20:57:42
## 24 2025-03-03 19:46:17 2025-03-03 20:57:37
## 25 2025-03-03 19:46:12 2025-03-04 17:51:59
## 26 2025-03-03 19:46:12 2025-03-04 17:51:56
## 27 2025-03-03 19:36:29 2025-03-03 19:36:30
## 28 2025-03-03 19:36:21 2025-03-03 19:36:26
## 29 2025-03-03 18:59:34 2025-03-03 18:59:34
## 30 2025-03-03 18:59:27 2025-03-03 18:59:30
## 31 2025-03-03 18:29:09 2025-03-03 18:31:13
## 32 2025-03-01 03:29:52 2025-03-03 19:36:06
## 33 2025-02-28 20:26:35 2025-02-28 20:26:36
## 34 2025-02-28 20:26:27 2025-02-28 20:26:31
## 35 2025-02-28 19:43:50 2025-02-28 20:26:35
## 36 2025-02-28 19:43:45 2025-02-28 20:26:30
## 37 2025-02-27 22:50:08 2025-02-27 22:50:08
## 38 2025-02-27 22:50:01 2025-02-27 22:50:03
## 39 2025-02-27 22:24:11 2025-02-27 22:50:08
## 40 2025-02-27 22:24:06 2025-02-27 22:50:03
## 41 2025-02-27 22:18:47 2025-02-27 22:24:11
## 42 2025-02-27 22:18:39 2025-02-27 22:24:08
## 43 2025-02-27 19:50:08 2025-03-03 19:36:15
## 44 2025-02-27 17:45:30 2025-02-27 17:45:31
## 45 2025-02-27 17:45:22 2025-02-27 17:45:26
## 46 2025-02-27 00:41:37 2025-02-27 00:41:38
## 47 2025-02-27 00:41:32 2025-02-27 00:41:34
## 48 2025-02-27 00:38:38 2025-02-27 00:41:37
## 49 2025-02-27 00:38:32 2025-02-27 00:41:33
## 50 2025-02-26 23:02:27 2025-02-26 23:02:28
## 51 2025-02-26 23:02:21 2025-02-26 23:02:23
## 52 2025-02-26 22:31:36 2025-03-03 19:36:17
## 53 2025-02-26 21:52:16 2025-02-27 17:45:18
## 54 2025-02-26 21:52:07 2025-02-27 17:45:20
## 55 2025-02-26 21:02:53 2025-02-26 21:02:54
## 56 2025-02-26 21:02:44 2025-02-26 21:02:47
## 57 2025-02-26 19:23:03 2025-02-26 19:23:04
## 58 2025-02-26 19:22:54 2025-02-26 19:22:58
## 59 2025-02-26 18:43:21 2025-02-26 18:43:22
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## 171 2025-02-19 22:42:14 2025-02-19 22:59:21
## 172 2025-02-19 22:42:06 2025-02-19 22:59:20
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## 177 2025-02-19 00:26:19 2025-02-20 00:13:01
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## 179 2025-02-19 00:23:52 2025-02-20 00:12:58
## 180 2025-02-19 00:21:20 2025-02-27 18:15:17
## 181 2025-02-19 00:21:11 2025-02-27 18:15:16
## 182 2025-02-19 00:10:47 2025-02-27 18:15:13
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## 184 2025-02-18 23:55:36 2025-02-18 23:55:37
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## 186 2025-02-17 02:22:21 2025-02-27 18:15:09
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## 189 2025-02-17 02:22:05 2025-02-19 00:25:55
## 190 2025-02-17 02:22:05 2025-02-19 00:26:00
## 191 2025-02-17 02:22:05 2025-02-19 00:26:03
## 192 2025-02-17 02:22:04 2025-02-27 18:17:46
## 193 2025-02-15 01:16:11 2025-02-15 01:16:14
## 194 2025-02-15 01:16:02 2025-02-15 01:16:07
## 195 2025-02-14 23:30:19 2025-02-14 23:30:19
## 196 2025-02-14 23:30:09 2025-02-14 23:30:15
## 197 2025-02-14 17:12:13 2025-02-18 23:55:28
## 198 2025-02-14 00:05:00 2025-02-14 00:05:01
## 199 2025-02-14 00:04:52 2025-02-14 00:04:54
## 200 2025-02-13 23:35:21 2025-02-13 23:35:21
## title
## 1 <NA>
## 2 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 3 <NA>
## 4 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 5 <NA>
## 6 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 7 <NA>
## 8 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 9 <NA>
## 10 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 11 <NA>
## 12 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 13 <NA>
## 14 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 15 <NA>
## 16 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 17 <NA>
## 18 Burning trees in frozen soil: Simulating fire, vegetation, soil, and hydrology in the boreal forests of Alaska, 2022.
## 19 <NA>
## 20 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 21 <NA>
## 22 <NA>
## 23 <NA>
## 24 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 25 <NA>
## 26 <NA>
## 27 <NA>
## 28 Enzyme activities and nutrient dynamics in arctic soil (2021-2023)
## 29 <NA>
## 30 Scoping Interviews and workshops about electric vehicles in Kotzebue, Galena, and Bethel, Alaska
## 31 Scoping Interviews and workshops about electric vehicles in Kotzebue, Galena, and Bethel, Alaska
## 32 <NA>
## 33 <NA>
## 34 Anchorage, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover, 1984-2054
## 35 <NA>
## 36 Anchorage, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover, 1984-2054
## 37 <NA>
## 38 Root tissue chemistry, mycorrhizal colonization, and uptake of nitrogen-15 tracer in glycine, ammonium, and nitrate form across a tree density gradient in northeastern Siberia. 2017.
## 39 <NA>
## 40 Root tissue chemistry, mycorrhizal colonization, and uptake of nitrogen-15 tracer in glycine, ammonium, and nitrate form across a tree density gradient in northeastern Siberia. 2017.
## 41 <NA>
## 42 Root tissue chemistry, mycorrhizal colonization, and uptake of nitrogen-15 tracer in glycine, ammonium, and nitrate form across a tree density gradient in northeastern Siberia. 2017.
## 43 <NA>
## 44 <NA>
## 45 Suspended and bed sediment grain size distributions at three riverine sites in the Yukon River Watershed: Alakanuk, Beaver, and Huslia (Alaska) (2018-2023)
## 46 <NA>
## 47 Thermokarst-pond plant community characteristics and effects on ice-wedge degradation in the Prudhoe Bay region, Alaska (2021-2022)
## 48 <NA>
## 49 Thermokarst-pond plant community characteristics and effects on ice-wedge degradation in the Prudhoe Bay region, Alaska (2021-2022)
## 50 <NA>
## 51 Xeitl Sít’ (LeConte Glacier) acoustic data 2016–2017
## 52 <NA>
## 53 <NA>
## 54 <NA>
## 55 <NA>
## 56 Data for Decadal increases in carbon uptake offset by respiratory losses across northern permafrost ecosystems (1995 - 2021)
## 57 <NA>
## 58 Marine Mammal Watch, collected from the Research Vessel Sikuliaq, Northern Bering Sea to Chukchi Sea, 2024
## 59 <NA>
## 60 Wetland plant functional trait responses to experimental warming, flooding, and herbivory, Yukon-Kuskokwim Delta (Western Alaska, USA) (2022-2023)
## 61 <NA>
## 62 <NA>
## 63 <NA>
## 64 <NA>
## 65 <NA>
## 66 <NA>
## 67 <NA>
## 68 <NA>
## 69 <NA>
## 70 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 71 <NA>
## 72 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 73 <NA>
## 74 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 75 <NA>
## 76 Thermokarst-pond plant community characteristics and effects on ice-wedge degradation in the Prudhoe Bay region, Alaska (2021-2022)
## 77 <NA>
## 78 <NA>
## 79 <NA>
## 80 Atmosphere to Surface Profiles of Water Vapor Isotopes and Meteorological Conditions over the Northeast Greenland Ice Sheet Data Product for 2022 Field Campaign
## 81 <NA>
## 82 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 83 <NA>
## 84 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 85 <NA>
## 86 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 87 <NA>
## 88 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 89 <NA>
## 90 <NA>
## 91 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 92 <NA>
## 93 <NA>
## 94 Proceedings of the Permafrost & Infrastructure Symposium
## 95 <NA>
## 96 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 97 <NA>
## 98 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 99 <NA>
## 100 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 101 <NA>
## 102 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 103 <NA>
## 104 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 105 <NA>
## 106 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 107 <NA>
## 108 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 109 <NA>
## 110 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 111 <NA>
## 112 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 113 <NA>
## 114 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 115 <NA>
## 116 <NA>
## 117 <NA>
## 118 <NA>
## 119 <NA>
## 120 <NA>
## 121 <NA>
## 122 <NA>
## 123 <NA>
## 124 <NA>
## 125 <NA>
## 126 <NA>
## 127 <NA>
## 128 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 129 <NA>
## 130 DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) in hotspots of the circum-arctic permafrost region - v1.1
## 131 <NA>
## 132 Thermokarst-pond plant community characteristics and effects on ice-wedge degradation in the Prudhoe Bay region, Alaska (2021-2022)
## 133 <NA>
## 134 Learning from the Permafrost & Infrastructure Symposium: A roadmap to resilience - Fairbanks, Alaska (2023)
## 135 <NA>
## 136 Buildings and roads detected from 0.5 meter resolution Maxar satellite imagery, Alaskan communities, 2018-2023
## 137 <NA>
## 138 Merged Datasets for the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Central Observatory in the Arctic Ocean (2019-2020) version 2
## 139 <NA>
## 140 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 141 <NA>
## 142 Merged Datasets for the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Central Observatory in the Arctic Ocean (2019-2020) version 2
## 143 <NA>
## 144 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 145 <NA>
## 146 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 147 <NA>
## 148 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 149 <NA>
## 150 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 151 <NA>
## 152 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 153 <NA>
## 154 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 155 <NA>
## 156 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 157 <NA>
## 158 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 159 <NA>
## 160 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 161 <NA>
## 162 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 163 <NA>
## 164 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 165 <NA>
## 166 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 167 <NA>
## 168 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 169 <NA>
## 170 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 171 <NA>
## 172 FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023
## 173 <NA>
## 174 Subpolar North Atlantic Ocean Biogeochemistry and Overturning in the Subpolar North Atlantic Program (OSNAP) Workshop, 2024
## 175 <NA>
## 176 Water temperature, salinity, and velocity from Overturning in the Subpolar North Atlantic Program (OSNAP) East moorings CF1 - CF7 in the Irminger Sea from July 2020 to August 2022
## 177 <NA>
## 178 <NA>
## 179 Merged Datasets for the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Central Observatory in the Arctic Ocean (2019-2020) version 2
## 180 <NA>
## 181 Merged Datasets for the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Central Observatory in the Arctic Ocean (2019-2020) version 2
## 182 <NA>
## 183 Merged Datasets for the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Central Observatory in the Arctic Ocean (2019-2020) version 2
## 184 <NA>
## 185 Meroplanktonic larvae collected during the polar night in Kongsfjorden, Svalbard (January 2023)
## 186 <NA>
## 187 Merged Datasets for the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Central Observatory in the Arctic Ocean (2019-2020) version 2
## 188 <NA>
## 189 <NA>
## 190 <NA>
## 191 <NA>
## 192 Merged Datasets for the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Central Observatory in the Arctic Ocean (2019-2020) version 2
## 193 <NA>
## 194 Heavy Metal and Nutrient Concentrations in West Greenland Lakes (Summer 2023)
## 195 <NA>
## 196 Airborne Laser Altimeter, Global Positioning System (GPS), Inertial Measurement Unit (IMU) and Imagery Campaign of the Surging Negribreen Glacier, Svalbard, in August 2019
## 197 <NA>
## 198 <NA>
## 199 Game Camera Footage of Beaver-Impacted Streams in the Northwest Arctic, 2023-2024
## 200 <NA>
## resourceMap
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