cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.801582
title: Visual core description (VCD) from ODP Hole 204-1251B

description: Sediment depth is given in mbsf. Use "further details" link to download a zip archive of all visual core descriptions.
DOI: 10.25549/gar-c81-42048
title: Henry K. Hannah, letter, 1896-01-29, to Hamlin Garland

description: Henry K. Hannah, Lexington, Massachusetts, USA, letter, 1896 January 29, to Hamlin Garland, 474 Elm Street, Chicago, Illinois, USA. "Mr. Gunther was the man to whom I sold the drawing in question and he probably has it now." -- first line.
DOI: 10.1594/pangaea.799999
title: Section images from ODP Hole 205-1254A

description: Sediment depth is given in mbsf. See further details for a thumbnail overview catalog of linescan images.
DOI: 10.1594/pangaea.256309
title: Geochemistry of interstitial water of ODP Hole 195-1200E
DOI: 10.1594/pangaea.800723
title: Visual core description (VCD) from ODP Hole 125-778A

description: Sediment depth is given in mbsf. Use "further details" link to download a zip archive of all visual core descriptions.
DOI: 10.1594/pangaea.796975
title: Close-up images of ODP Hole 167-1011B

description: See further details for a thumbnail overview catalog.
DOI: 10.1594/pangaea.798944
title: Section images from ODP Hole 139-856B
DOI: 10.25549/gar-c81-42289
title: Jesse H. Jones, letter, 1899-03-16, to Hamlin Garland

description: Jesse H. Jones, Halifax, Massachusetts, USA, letter, 1899 March 16, to Hamlin Garland. "I have read a large part of your Life of General Grant; and find great satisfaction in the thorough and fair way in which you have dealt with every point I have examined." -- first line.
DOI: 10.1594/pangaea.799000
title: Section images from ODP Hole 144-875A
DOI: 10.1594/pangaea.801304
title: Visual core description (VCD) from ODP Hole 172-1059B

description: Sediment depth is given in mbsf. Use "further details" link to download a zip archive of all visual core descriptions.
DOI: 10.1594/pangaea.256401
title: Geochemistry of interstitial water of ODP Hole 207-1259C
DOI: 10.1594/pangaea.256402
title: Geochemistry of interstitial water of ODP Hole 207-1260A
DOI: 10.25549/gar-c81-41889
title: Jeannette Robertson, letter, 1864-07, to Anna Robertson

description: Jeannette Robertson, [Washington, DC, USA], letter, [1864 July], to Anna Robertson. "The weather is very fine here now. And all are looking anxiously forward to the coming conflict between the Armies of Virginia." -- first line. With non-contemporaneous envelope. With typed transcription.
DOI: 10.1594/pangaea.790936
title: Raw data files of X-ray diffraction analysis from ODP Hole 164-997A

description: X-ray diffraction data stored as flat files in a zip archive.
DOI: 10.1594/pangaea.797230
title: Close-up images of ODP Hole 187-1163A

description: See further details for a thumbnail overview catalog.
DOI: 10.1594/pangaea.796627
title: Close-up images of ODP Hole 138-844A

description: See further details for a thumbnail overview catalog.
DOI: 10.1594/pangaea.797240
title: Close-up images of ODP Hole 189-1170C

description: See further details for a thumbnail overview catalog.
DOI: 10.1594/pangaea.798886
title: Section images from ODP Hole 135-840B
DOI: 10.1594/pangaea.801096
title: Visual core description (VCD) from ODP Hole 160-967D

description: Sediment depth is given in mbsf. Use "further details" link to download a zip archive of all visual core descriptions.
DOI: 10.25549/gar-c81-41804
title: Jeannette Robertson, letter, 1864-07-11, to Anna Robertson

description: "Jennie" [Jeannette Robertson], Douglas Hospital, [2nd Street Northwest and I Street Northwest], Washington, DC, USA, letter, 1864 July 11, to "ma" [Anna Robertson], Hanoverton, Ohio, USA. "I thought I must write you a few lines tonight to let you know that we are 'all safe' yet and it is now well on towards midnight." -- first line. With envelope. With typed transcription.
DOI: 10.1594/pangaea.798725
title: Section images from ODP Hole 124-768B
DOI: 10.1594/pangaea.796477
title: Close-up images of ODP Hole 122-763B

description: See further details for a thumbnail overview catalog.
DOI: 10.1594/pangaea.256961
title: Gas elements of ODP Hole 152-918D
DOI: 10.1594/pangaea.267064
title: P-wave velocity (PWL whole-core system) on ODP Hole 152-918D
DOI: 10.1594/pangaea.800179
title: Visual core description of hard rock (HR VCD) from ODP Hole 149-897C

description: Sediment depth is given in mbsf. Use "further details" link to download a zip archive of all visual core descriptions.
DOI: 10.1594/pangaea.793941
title: P-wave velocity (PWS split-core system) on ODP Hole 152-914B
DOI: 10.1594/pangaea.793762
title: P-wave velocity (PWS split-core system) on ODP Hole 133-818B
DOI: 10.1594/pangaea.799546
title: Section images from ODP Hole 174-1071C
DOI: 10.1594/pangaea.798492
title: Section images from ODP Hole 108-660A
DOI: 10.5281/zenodo.17561717
title: Underwater images collected by a Kite surf in Le-Morne-Manu, Mauritius - 2019-09-20

description: This dataset was collected by a Kite surf in Le-Morne-Manu, Mauritius - 2019-09-20. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                No GPS.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.5281/zenodo.17562037
title: Underwater images collected by a Kite surf in Le-Morne-Manu, Mauritius - 2019-09-20

description: This dataset was collected by a Kite surf in Le-Morne-Manu, Mauritius - 2019-09-20. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                No GPS.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.22008/fk2/iw73uu/kdrpfp
title: JAR_month.csv

description: Uploaded with pyDataverse 2025-09-01 14:57
DOI: 10.22008/fk2/iw73uu/eces1n
title: MIT_month.csv

description: Uploaded with pyDataverse 2025-09-01 14:57
DOI: 10.22008/fk2/iw73uu/nfl4uq
title: MIT_month.nc

description: Uploaded with pyDataverse 2025-09-01 14:58
DOI: 10.22008/fk2/iw73uu/8fd1tq
title: MIT_hour.nc

description: Uploaded with pyDataverse 2025-09-01 14:58
DOI: 10.22008/fk2/iw73uu/w5iemj
title: MIT_day.nc

description: Uploaded with pyDataverse 2025-09-01 14:58
DOI: 10.22008/fk2/iw73uu/nj0oam
title: MIT_day.csv

description: Uploaded with pyDataverse 2025-09-01 14:59
DOI: 10.22008/fk2/iw73uu/a8e7wj
title: MIT_hour.csv

description: Uploaded with pyDataverse 2025-09-01 14:59
DOI: 10.5281/zenodo.18674169
title: Dataset: Air Quality Dataset for Bangkok (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Bangkok covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Bangkok, compare Bangkok with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.22008/fk2/iw73uu/nhk8vs
title: SCO_L_hour.nc

description: Uploaded with pyDataverse 2025-09-01 14:59
DOI: 10.22008/fk2/iw73uu/owr9gy
title: SCO_L_month.nc

description: Uploaded with pyDataverse 2025-09-01 15:00
DOI: 10.5281/zenodo.18674168
title: Dataset: Air Quality Dataset for Bangkok (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Bangkok covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Bangkok, compare Bangkok with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.22008/fk2/iw73uu/ciaikm
title: SCO_L_day.csv

description: Uploaded with pyDataverse 2025-09-01 15:00
DOI: 10.22008/fk2/iw73uu/9vhgwa
title: SCO_L_month.csv

description: Uploaded with pyDataverse 2025-09-01 15:00
DOI: 10.22008/fk2/iw73uu/oh9vdp
title: SCO_L_hour.csv

description: Uploaded with pyDataverse 2025-09-01 15:01
DOI: 10.22008/fk2/iw73uu/ktkdlo
title: SCO_L_day.nc

description: Uploaded with pyDataverse 2025-09-01 15:01
DOI: 10.15468/dl.s234av
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Xylographa opegraphella)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025097-260208012135463/datasets/export for details.
DOI: 10.22008/fk2/iw73uu/bw9s1w
title: variables.csv

description: Uploaded with pyDataverse 2025-09-01 15:01
DOI: 10.22008/fk2/iw73uu/efezux
title: AWS_latest_locations.csv

description: Uploaded with pyDataverse 2025-09-01 15:01
DOI: 10.22008/fk2/iw73uu/t8tykw
title: AWS_sites_metadata.csv

description: Uploaded with pyDataverse 2025-09-01 15:02
DOI: 10.22008/fk2/iw73uu/xcaqhj
title: AWS_data_readme.pdf

description: Uploaded with pyDataverse 2025-09-01 15:02
DOI: 10.22008/fk2/iw73uu/nhowae
title: NUK_B_month.csv

description: Uploaded with pyDataverse 2025-10-01 13:39
DOI: 10.22008/fk2/iw73uu/cbo6wc
title: NUK_B_day.csv

description: Uploaded with pyDataverse 2025-10-01 13:39
DOI: 10.22008/fk2/iw73uu/5fdrsv
title: NUK_B_month.nc

description: Uploaded with pyDataverse 2025-10-01 13:40
DOI: 10.22008/fk2/iw73uu/mvcijb
title: NUK_B_hour.csv

description: Uploaded with pyDataverse 2025-10-01 13:40
DOI: 10.22008/fk2/iw73uu/8txsz6
title: NUK_B_hour.nc

description: Uploaded with pyDataverse 2025-10-01 13:40
DOI: 10.1594/pangaea.833121
title: (Fig. 3) Occurrence of framboidal pyrite within the sediment core NC_08/01_P4
DOI: 10.1594/pangaea.833122
title: (Fig. 4) Ostracod associations in sediment core NC_08/01_P4 and calculated relative lake level
DOI: 10.1594/pangaea.833123
title: (Fig. 4) Ostracod valves in sediment core NC_08/01_P4
DOI: 10.1594/pangaea.833124
title: (Fig. 5) Diatom associations in sediment core NC_08/01_P4
DOI: 10.1594/pangaea.869937
title: Arithmetic mean grain size of Tangra Yumco lake sediment record
DOI: 10.1594/pangaea.869941
title: Age determination of Tangra Yumco lake sediments

description: Massive carbonate banks representing ancient lacustrine deposits are exposed in the catchment of the lake Tangra Yumco (southern-central Tibetan Plateau) and nearby lake Xuru Co. Nine sediment samples were taken below and above these lacustrine deposits to determine periods of changing lake level using optically stimulated luminescence (OSL) applying a multiple aliquot regeneration (MAR) protocol. According to facies and stratigraphy samples below the carbonate banks indicate a rising and samples from above a falling lake level. The results indicate that the rising lake level of Tangra Yumco passed the sampling location at 10.5 ka and 2.1 ka while a falling lake level passed the sampling location at 0.9 ka. The rising lake level of Xuru Co passed the sampling location 7.9 ka and 1.7 ka and a falling lake level passed the sampling location at 0.5 ka showing a similar trend. Combining these results with recalculated cosmogenic nuclide ages and previously published feldspar luminescence data allow the establishment of an improved Holocene lake level reconstruction for Tangra Yumco, which is unique for the southern-central Tibetan Plateau. Within the last 10.5 ka the lake level of Tangra Yumco crested a lake level highstand of 181-183 m above the recent lake level at 8.5 ka and has generally fallen since, with a minor lake level rise at 2.1 ka. Lake level variations at Tangra Yumco occur simultaneously with other lakes on the Tibetan Plateau indicating that variations were controlled by monsoonal dynamics with a moist early Holocene and a successive reduction of available moisture thereafter. The precipitation directly reaching the lake via runoff that was required for the lake level rise between 10.5-8.5 ka is 9 mm a-1 (compared to a modern value of 35 mm a-1), providing valuable insights in the magnitude of monsoonal variations on the southern central Tibetan Plateau.
description: Supplement to: Ahlborn, Marieke; Haberzettl, Torsten; Wang, Junbo; Fürstenberg, Sascha; Mäusbacher, Roland; Mazzocco, Jeaneth; Pierson, James; Zhu, Liping; Frenzel, Peter (2015): Holocene lake level history of the Tangra Yumco lake system, southern-central Tibetan Plateau. The Holocene, 26(2), 176-187
DOI: 10.1594/pangaea.870560
title: Element analysis of sediment core TT_12-3
DOI: 10.1594/pangaea.938937
title: Orbital-scale climate variability of high-resolution stable oxygen isotope and Mg/Ca records spanning 25.95-24.53 Ma from IODP Site 342-U1406

description: This dataset lists the results of stable oxygen isotope measurements (in ‰ VPDB) , and trace element analysis (Mg/Ca ratios in mmol mol-1) from International Ocean Discovery Program (IODP) Site U1406 off Newfoundland (~40°N, 51°W; 3814 m water depth, Expedition 342, NW Atlantic Ocean) for a ~30-m-long interval of the splice record.Stable isotopes were analyzed using a ThermoFinnigan MAT253Plus gas source mass spectrometer equipped with a Thermo Fisher Scientific KIEL IV carbonate device. Values are reported relative to the VPDB through the analysis of an in-house standard (Solnhofen limestone) calibrated to IAEA-603. Mg/Ca ratios were analyzed using a Agilent Inductively Coupled Plasma-Optical Emission Spectrometer (ICP-OES) 720. Mg/Ca data was normalised relative to the ECRM752-1 standard.
DOI: 10.1594/pangaea.938938
title: Deciphering the state of the North Atlantic subsurface during the late Oligocene at IODP Site 342-U1406

description: This dataset lists the results of stable oxygen isotope measurements (in ‰ VPDB) and trace element analysis (Mg/Ca ratios in mmol mol-1) on benthic and planktic foraminifera as well as the coarse fraction (in %) from International Ocean Discovery Program (IODP) Site U1406 off Newfoundland (~40°N, 51°W; 3814 m water depth, Expedition 342, NW Atlantic Ocean) for a ~30-m-long interval of the splice record. Stable isotopes were analyzed using a ThermoFinnigan MAT253Plus gas source mass spectrometer equipped with a Thermo Fisher Scientific KIEL IV carbonate device. Values are reported relative to the VPDB through the analysis of an in-house standard (Solnhofen limestone) calibrated to IAEA-603. Mg/Ca ratios were analyzed using a Agilent Inductively Coupled Plasma-Optical Emission Spectrometer (ICP-OES) 720. Mg/Ca data was normalised relative to the ECRM752-1 standard.
DOI: 10.3535/3e1-yta-v43
title: Balclutha Kirkaldy, 1900

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/19j-nek-pct
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mtw-xe3-apg
title: Bivalvia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.ctfaej
title: Occurrence Download

description: A dataset containing 22311928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "BasisOfRecord is one of (Human Observation, Observation, Material sample, Specimen)",
 "TaxonKey is one of (Acanthochlamys, Actiniopteris, Adiantum, Afrotrilepis, Aleuritopteris, Aloina, Anoectangium, Anthoceros, Archilejeunea, Arthropteris, Asplenium, Atrichum, Barbacenia, Barbaceniopsis, Barbilophozia, Bazzania, Bhidea, Blepharostoma, Blossfeldia, Bothriochloa, Boulaya, Cynodon, Brachythecium, Bryoerythrophyllum, Bryum, Calypogeia, Campylium, Carex, Cephalozia, Cephaloziella, Ceratolejeunea, Chamaegigas, Cheilanthes, Cirriphyllum, Climacium, Coleochloa, Cololejeunea, Conandron, Corallodiscus, Corsinia, Cosentinia, Craterostigma, Crepidomanes, Crossidium, Cyperus, Damrongia, Danthonidium, Davallia, Dendroceros, Dichanthium, Dicranodontium, Dicranoloma, Dicranopteris, Dicranoweisia, Dicranum, Dimeria, Diphyscium, Dorcoceras, Doryopteris, Elaphoglossum, Eragrostiella, Eragrostis, Eurhynchium, Exormotheca, Fabronia, Fimbristylis, Fissidens, Floribundaria, Fontinalis, Forsstroemia, Fossombronia, Frullania, Funaria, Glyphochloa, Grammitis, Groutiella, Gymnomitrion, Haberlea, Haplopteris, Hemionitis, Herbertus, Homaliodendron, Homalothecium, Hylocomium, Hymenophyllum, Hypnum, Indopoa, Isoetes, Isopaches, Isothecium, Jamesoniella, Lejeunea, Lepidozia, Lepisorus, Limosella, Lindernia, Linderniella, Lophocolea, Lophozia, Loxogramme, Macromitrium, Leucodon, Marchantia, Mariscus, Mastigolejeunea, Meteoridium, Meteorium, Micrachne, Micraira, Microchloa, Microdracoides, Microgramma, Mylia, Myrothamnus, Nanuza, Neckera, Notholaena, Octoblepharum, Cheilolejeunea, Oreocharis, Oropetium, Orthostichopsis, Orthotrichum, Paraleucobryum, Pecluma, Phyllodrepanium, Phyllogonium, Physcomitrium, Pilotrichella, Pitcairnia, Plagiochila, Plagiomnium, Platycerium, Pleopeltis, Pleurochaete, Pleurozia, Pleurozium, Poa, Pogonatum, Polytrichum, Pseudocrossidium, Pterobryon, Ptilidium, Pyrrhobryum, Racomitrium, Rhizomnium, Rhytidiadelphus, Saccogyna, Sanionia, Satureja, Scapania, Schistidium, Schizaea, Scorpiurium, Selaginella, Southbya, Splachnum, Sporobolus, Stictolejeunea, Styppeiochloa, Syntrichia, Thamnobryum, Thuidium, Tortella, Trichocolea, Trichomanes, Trilepis, Tripogon, Tripogonella, Triquetrella, Tritomaria, Ulota, Vellozia, Vittaria, Xerophyta, Zelometeorium)"
 ]
}

 The dataset includes 22311928 records from 7306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019631-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44gk7u
title: Occurrence Download

description: A dataset containing 2693964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Zimbabwe, Mozambique, Zambia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2693964 records from 798 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018275-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.