cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xeg472
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083852-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kc937u
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora adspersella Benander, 1939",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 87 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083853-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cyd78n
title: Occurrence Download

description: A dataset containing 123678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Zero coordinate, Coordinate out of range, Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names , Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date unlikely, Identified date unlikely, Basis of record invalid, Type status invalid, Multimedia date invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, ccurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "OccurrenceStatus is Present",
 "TaxonKey is Anser indicus (Latham, 1790)"
 ]
}

 The dataset includes 123678 records from 341 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083832-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmf8n7
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083854-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgen7n
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora ramosella Zeller, 1849",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 298 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083855-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vc8t4
title: Occurrence Download

description: A dataset containing 3147 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora deauratella Zeller, 1846",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 3147 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083857-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxxvm8
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083856-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bf252a
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora fuscicornis Zeller, 1847",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083859-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2cxq9
title: Occurrence Download

description: A dataset containing 958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China)",
 "Geometry POLYGON((99.5 -2.75,125 -2.75,125 26.47,99.5 26.47,99.5 -2.75))",
 "TaxonKey is Anthozoa",
 "Year 2000-2020"
 ]
}

 The dataset includes 958 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083860-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6xvnm
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083861-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmgffk
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora vibicella (Hübner)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 178 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083863-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hj8952
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083864-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wayhzb
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Goniodoma limoniella (Stainton, 1884)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 105 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083865-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jc8mch
title: Occurrence Download

description: A dataset containing 521 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Metriotes lutarea (Haworth, 1828)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 521 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083866-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b5s337zwjr.1
title: raw data paper titled "Regulated proteolysis of MutSγ controls meiotic crossing over "

description: This dataset includes unprocessed gels and cytology images of the paper "Regulated proteolysis of MutSγ controls meiotic crossing over " for Molecular Cell
DOI: 10.21227/9zqh-v340
title: Data for Prediction of Apparent Personality Traits from Selfies using the Five-Factor Model

description: Since there is no image-based personality dataset, we used the ChaLearn dataset for creating a new dataset that met the characteristics we required for this work, i.e., selfie images where only one person appears and his face is visible, labeled with the person's apparent personality in the photo. The ChaLearn dataset was distributed as follows: 6,000 data were destined for training, 2,000 for validation and 2,000 were separated for the test phase or final evaluation of the contest, therefore the personality tags of the test data set were not published, so we had 8,000 tagged videos available. For each of them, we took 3 or 4 frames, resulting in a total of 30,935 images. These image constitute the dataset of personality in portraits, first version (PortraitPersonality v1). For the purpose of this work we cut out each image extracted from the videos so that they looked like a selfie. Using OpenCV in Python we performed face detection in each image and then we cut the image making sure to contain the full face. This constitutes the second version of the dataset (PortraitPersonality v2). Each image is matched with its corresponding values (between 0 and 1) for each personality factor (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness to Experience). Here you can find the CSV file, and a github link to the captured frames (see link at the top).
DOI: 10.21227/pwms-dx77
title: Orchid flower dataset

description: The orchid flower dataset was selected from the northern part of Thailand. The dataset contains Thai native orchid flowers, and each class contains at least 20 samples. The orchid dataset including 52 species and the visual characteristics of the flower are varying in terms of shape, color, texture, size, and the other parts of the orchid plant like a leaf, inflorescence, roots, and surroundings. All images are taken from many devices such as a digital camera, a mobile phone, and other equipment. The orchids dataset contains 3,559 images from 52 categories.
DOI: 10.7910/dvn/wclymh/dcqrwj
title: code.do

description: :unav
DOI: 10.7910/dvn/wclymh/hqaa6f
title: Salience.tab

description: :unav
DOI: 10.5281/zenodo.3597038
title: DCAE

description: <strong>Data and codes availability statement</strong> The data and codes that support the findings of this study are available in [https://zenodo.org/] with the identifier(s) at the private link (https://zenodo.org/record/3597038#.Xg7EM-gzZ3g).
DOI: 10.7910/dvn/bp2jxu/af7b7j
title: httpcache-vandy.tar.bz2
DOI: 10.7910/dvn/bp2jxu/nzhnby
title: vandy.csv
DOI: 10.7910/dvn/bp2jxu/oc9cqe
title: html-vandy.tar.bz2.partab
DOI: 10.7910/dvn/bp2jxu/qxcjb8
title: html-vandy.tar.bz2.partac
DOI: 10.7910/dvn/bp2jxu/waxixc
title: html-vandy.tar.bz2.partaa
DOI: 10.7910/dvn/bp2jxu/vlhvyd
title: html-vandy.tar.bz2.partad
DOI: 10.5281/zenodo.3596940
title: DAMP-S-AG: Digital Archive of Mobile Performances - Smule - Amazing Grace

description: The DAMP-S-AG contains 17582 solo singing performances from different singers on one and the same backing track - Amazing Grace. This is a real-world dataset from performances on the Smule karaoke app, containing mobile-device recordings of singers varying in age, gender, geographic location. This allows to cross-compare vocal performances on the same backing track. It is suitable for both solo and multi-instrumental singing voice analysis. Users of this dataset must read and accept Smule's Research Data License Agreement (LICENSE.txt).
DOI: 10.7910/dvn/9amkhl/lecekd
title: figurea13b.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/skdwox
title: figure3b.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/2bd8hy
title: figurea12.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/8bstuf
title: figurea13c.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/9kjroa
title: figure2b.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/ccuske
title: gtrends_volume_month.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/kk7nyf
title: engagement_tweet_content_month.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/likg5k
title: figurea3.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/ob8jkk
title: match_tweet_content_month.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/v8znbx
title: figurea10.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/isvypn
title: figure4a.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/ju6ruv
title: gtrends_volume_disaggregated.csv

description: :unav
DOI: 10.7910/dvn/9amkhl/mdkuly
title: figurea9.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/mhkpbg
title: figure9a.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/pprerh
title: figurea5b.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/rpujy8
title: followers_tweet_content_month.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/9odjl7
title: figurea13a.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/d5jt4q
title: engagement_tweet_content_year.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/nx3hks
title: figure8b.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/o1amlh
title: pan_siegel_replication_files_2019

description: :unav
DOI: 10.7910/dvn/9amkhl/qx3jyd
title: figurea13d.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/rp9yfk
title: figure5.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/ugaygl
title: .Rapp.history

description: :unav
DOI: 10.7910/dvn/9amkhl/uxosnj
title: figure7d.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/xdsodc
title: .Rhistory

description: :unav
DOI: 10.7910/dvn/9amkhl/58suau
title: figure1d.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/fut6ke
title: volume_plots.R

description: :unav
DOI: 10.7910/dvn/9amkhl/iyff3l
title: arrested_volume_disaggregated.csv

description: :unav
DOI: 10.7910/dvn/9amkhl/mhy4il
title: disaggregated_volume_analysis.R

description: :unav
DOI: 10.7910/dvn/9amkhl/qjghfy
title: retweet_data.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/ty0xs2
title: volume_placebo_analysis.R

description: :unav
DOI: 10.7910/dvn/9amkhl/urrovl
title: figure8d.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/voamfq
title: figure3a.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/ygpse4
title: figurea1.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/1ronyf
title: figurea8.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/hvyalo
title: arrested_tweet_content_year.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/q0qhzd
title: figure2a.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/qqagpk
title: gtrends_volume_year.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/typt3k
title: figure1a.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/ukqpg8
title: match_tweet_volume.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/vq3g35
title: figure4c.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/xukrn6
title: engagement_volume.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/za2jdg
title: figure4b.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/4tfabs
title: ReadMe.txt

description: :unav
DOI: 10.7910/dvn/9amkhl/7h2srm
title: figure6a.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/8kbzxs
title: content_analysis.R

description: :unav
DOI: 10.7910/dvn/9amkhl/daz9mz
title: figurea5a.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/ewacp9
title: figure7c.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/gbyn7d
title: retweet_ratio_analysis.R

description: :unav
DOI: 10.7910/dvn/9amkhl/i5aieg
title: engagement_volume_disaggregated.csv

description: :unav
DOI: 10.7910/dvn/9amkhl/jqiqup
title: volume_its_analysis.R

description: :unav
DOI: 10.7910/dvn/9amkhl/k4gy0w
title: engagement_volume_pre_only.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/1ttvxd
title: engagement_volume_pre_post_only.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/aeiaq7
title: figurea6.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/embeyc
title: content_metrics.csv

description: :unav
DOI: 10.7910/dvn/9amkhl/nandbo
title: figure4d.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/pncs18
title: figure1c.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/t7mas7
title: figure8c.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/vqorq3
title: match_volume_disaggregated.csv

description: :unav
DOI: 10.7910/dvn/9amkhl/y60cyp
title: figurea7.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/gigc1d
title: arrested_tweet_volume.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/hhvull
title: figurea4.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/hvly5g
title: figure9b.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/iyovhm
title: arrested_tweet_content_month.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/jgndvy
title: figurea2.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/kmnyqa
title: figure1b.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/wormmh
title: followers_tweet_content_year.tab

description: :unav
DOI: 10.7910/dvn/9amkhl/y3o3iq
title: volume_event_count_models.R

description: :unav
DOI: 10.7910/dvn/9amkhl/zhfvgt
title: figure7a.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/gx5qsm
title: figure6b.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/otbych
title: figure8a.pdf

description: :unav
DOI: 10.7910/dvn/9amkhl/pfhguk
title: figure7b.pdf

description: :unav
DOI: 10.23650/data.c.2018.nga120770.k1.1.1.v1
title: 全国矿产地数据库
title: National Mineral Deposit Database of China

description: As the basic database of geological survey work in the country, the National Mineral Deposit Database of China is an important project in the new round of digital land resources surveys. The database contains information about 232 types of mineral resources in 27 569 deposits in 29 provinces (cities, districts). The scope of this database covers the entire country, thus reflecting the results of mineral exploration in China since the founding of the Ministry of Geology and Mineral Resources. The database was created under stringent quality control measures covering the entire work process and was also revised and corrected through the review process. The database boasts comprehensive data collection, accurate documentation, and accurate data entry. In addition, the data structure and accuracy in this work meets relevant technical standards and its overall quality is reliable. All in all, the database is large and comprehensive featuring ore species, wide coverage, rich content, massive data, and large time span. It provides an important basis for mineral resources survey and evaluation, academic research, mining development, and municipal planning and management.
DOI: 10.23650/data.d.2019.p12
title: 全国海岸带地质环境综合数据集
title: Comprehensive Dataset of the Geological Environment in China’s Coastal Zone

description: The comprehensive dataset of the geological environment in the coastal zone of China obtained as a result of geological survey, is designed according to the overall concept of land-sea coordination to achieve full coverage of relevant disciplines, techniques and methods. The data fall into four categories, namely, comprehensive field surveys, comprehensive field construction, field dynamic monitoring and sample testing. There are total 130 data tables and 177 592 pieces of data, including 9 types of data table and 9 006 pieces of data in the comprehensive field survey category, 68 types of data table and 89 551 pieces of data in the comprehensive field construction category, 28 data table types and 12 305 pieces of data in the field dynamic monitoring category, and 25 data table types and 66 730 pieces of data in the sample testing category. This dataset provides efficient and accurate data services for the unified management of coastal natural resources, spatial planning of territory, use control, ecological protection and restoration.