cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vyaq49
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((150.213 -5.139855, 150.142455 -5.145418, 150.073643 -5.161969, 150.008255 -5.189101, 149.947899 -5.226149, 149.894059 -5.272201, 149.84806 -5.326125, 149.811035 -5.386595, 149.783898 -5.452125, 149.767318 -5.521101, 149.761709 -5.591826, 149.767211 -5.66256, 149.783694 -5.731561, 149.810755 -5.797128, 149.847731 -5.857646, 149.893712 -5.911622, 149.947569 -5.957727, 150.007975 -5.994822, 150.073439 -6.021992, 150.142348 -6.038567, 150.213 -6.044138, 150.283652 -6.038567, 150.352561 -6.021992, 150.418025 -5.994822, 150.478431 -5.957727, 150.532288 -5.911622, 150.578269 -5.857646, 150.615245 -5.797128, 150.642306 -5.731561, 150.658789 -5.66256, 150.664291 -5.591826, 150.658682 -5.521101, 150.642102 -5.452125, 150.614965 -5.386595, 150.57794 -5.326125, 150.531941 -5.272201, 150.478101 -5.226149, 150.417745 -5.189101, 150.352357 -5.161969, 150.283545 -5.145418, 150.213 -5.139855))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044951-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4pqpa
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opisthosyllis longicirrata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044952-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.11040.65289
title: Spending on research for %GDP
DOI: 10.15468/dl.h28aau
title: Occurrence Download

description: A dataset containing 10627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "GbifRegion is Europe and Central Asia",
 "StartDayOfYear 1-366",
 "TaxonKey is Merops apiaster",
 "Year 1990-2025"
 ]
}

 The dataset includes 10627 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044953-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17852176
title: Assessing spatial transmission risk of respiratory infectious diseases across urban tiers in China: a modelling study

description: Description of Baidu Migration Data

Baidu Migration data were obtained from the Baidu Qianxi platform (https://qianxi.baidu.com/).

Data collection periods:1 January to 31 December 2021;1 March to 5 April 2022.

Data description:The dataset includes two components: migration percentage and migration scale.

Migration percentage (xᵢⱼ):Migration percentage represents the proportion of the outflow population from city i to city j, relative to the total outflow population of city i. Each day’s migration percentages were stored as a matrix, in which each element denotes the percentage (%) of population moving from the row city to the column city.Filename: "date/date_out.xlsx"Migration percentage data for the following dates were unavailable: 9 April 2021, 8 July 2021, 6 August 2021, 12 August 2021, and 25 August 2021.

Migration scale.Migration scale reflects the total daily outflow population of each city and was saved in files named “date/date_规模.xlsx”.

All city names in the Baidu Migration dataset were provided in Chinese.

 

Description of Observed First Arrival Time

In this study, we analysed three COVID-19 outbreaks originating in Shanghai, Nanjing, and Northwestern China.

Criteria for identifying first confirmed cases:Cases were included if (i) health authorities explicitly designated them as outbreak-related, or (ii) epidemiological evidence, such as documented travel history, transportation records, or confirmed close-contact exposure, indicated that the infection was linked to one of the three source regions.

Study periods:Shanghai (Omicron): 1 March-5 April 2022Nanjing (Delta): 20 July-5 August 2021Northwestern China (Delta): 17 October-3 November 2021

Screenshots of official websites reporting case information were provided. Detailed lists of first arrival times and corresponding URLs are included in the Supplementary Information.
DOI: 10.5281/zenodo.17852175
title: Assessing spatial transmission risk of respiratory infectious diseases across urban tiers in China: a modelling study

description: Description of Baidu Migration Data

Baidu Migration data were obtained from the Baidu Qianxi platform (https://qianxi.baidu.com/).

Data collection periods:1 January to 31 December 2021;1 March to 5 April 2022.

Data description:The dataset includes two components: migration percentage and migration scale.

Migration percentage (xᵢⱼ):Migration percentage represents the proportion of the outflow population from city i to city j, relative to the total outflow population of city i. Each day’s migration percentages were stored as a matrix, in which each element denotes the percentage (%) of population moving from the row city to the column city.Filename: "date/date_out.xlsx"Migration percentage data for the following dates were unavailable: 9 April 2021, 8 July 2021, 6 August 2021, 12 August 2021, and 25 August 2021.

Migration scale.Migration scale reflects the total daily outflow population of each city and was saved in files named “date/date_规模.xlsx”.

All city names in the Baidu Migration dataset were provided in Chinese.

 

Description of Observed First Arrival Time

In this study, we analysed three COVID-19 outbreaks originating in Shanghai, Nanjing, and Northwestern China.

Criteria for identifying first confirmed cases:Cases were included if (i) health authorities explicitly designated them as outbreak-related, or (ii) epidemiological evidence, such as documented travel history, transportation records, or confirmed close-contact exposure, indicated that the infection was linked to one of the three source regions.

Study periods:Shanghai (Omicron): 1 March-5 April 2022Nanjing (Delta): 20 July-5 August 2021Northwestern China (Delta): 17 October-3 November 2021

Screenshots of official websites reporting case information were provided. Detailed lists of first arrival times and corresponding URLs are included in the Supplementary Information.
DOI: 10.5683/sp3/dhijy4
title: Table S1 Widenmann et al.

description: Table S1 with accession numbers of genomes used for phylogenetic analysis of Lactobacillus delbrueckii
DOI: 10.13130/rd_unimi/nfu5po
title: 12 - Forecasted dataseries of precipitation and temperature

description: Hourly forecasted dataseries of precipitation and temperature extracted from MOLOCH output.
Data were extracted from the outputs of the MOLOCH model by transforming them into netCDF and extracting the values in the location of subbasins from the temperature and precipitation layer in R environment.
Naming conventions:
T_YYYYMMDD.csv
P_YYYYMMDD.csv 
for example, T_20180503.csv, number varies based on the date and the sub-basin which it refers to.
description: These data have been generated during PhD project "Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production" - XXXVI cycle 2020-2024 - PhD Thesis Chapter 5
description: RStudio
DOI: 10.13130/rd_unimi/nfu5po/rvaswr
title: T_20181029.csv
DOI: 10.13130/rd_unimi/nfu5po/hddtxd
title: T_20181027.csv
DOI: 10.13130/rd_unimi/nfu5po/u9e8cj
title: T_20180512.csv
DOI: 10.13130/rd_unimi/nfu5po/t1zfe6
title: P_20181025.csv
DOI: 10.13130/rd_unimi/nfu5po/ihx5zp
title: T_20181028.csv
DOI: 10.13130/rd_unimi/nfu5po/si2aly
title: T_20180501.csv
DOI: 10.13130/rd_unimi/nfu5po/pewllb
title: P_20180516.csv
DOI: 10.13130/rd_unimi/nfu5po/wm78we
title: T_20180529.csv
DOI: 10.13130/rd_unimi/nfu5po/aqudgm
title: P_20180524.csv
DOI: 10.13130/rd_unimi/nfu5po/rhlj67
title: T_20180520.csv
DOI: 10.13130/rd_unimi/nfu5po/bhz5yq
title: P_20181026.csv
DOI: 10.13130/rd_unimi/nfu5po/suotwn
title: T_20180519.csv
DOI: 10.13130/rd_unimi/nfu5po/saqgme
title: T_20181011.csv
DOI: 10.13130/rd_unimi/nfu5po/j6jhmb
title: T_20180505.csv
DOI: 10.13130/rd_unimi/nfu5po/teelqz
title: T_20180517.csv
DOI: 10.13130/rd_unimi/nfu5po/dqgex4
title: T_20181015.csv
DOI: 10.13130/rd_unimi/nfu5po/pfwzcb
title: P_20181022.csv
DOI: 10.13130/rd_unimi/nfu5po/tmpzm3
title: T_20181003.csv
DOI: 10.13130/rd_unimi/nfu5po/pdovyw
title: P_20181027.csv
DOI: 10.13130/rd_unimi/nfu5po/yltpfe
title: P_20181021.csv
DOI: 10.13130/rd_unimi/nfu5po/hhmpn5
title: T_20181004.csv
DOI: 10.13130/rd_unimi/nfu5po/fkb9z1
title: T_20181022.csv
DOI: 10.13130/rd_unimi/nfu5po/rppkwh
title: P_20180525.csv
DOI: 10.13130/rd_unimi/nfu5po/ayhtyk
title: T_20181017.csv
DOI: 10.13130/rd_unimi/nfu5po/dc4ozp
title: T_20180514.csv
DOI: 10.13130/rd_unimi/nfu5po/hwotyw
title: P_20180510.csv
DOI: 10.15468/dl.2mduj5
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((150.035 -5.071854, 149.964462 -5.077417, 149.895657 -5.093968, 149.830277 -5.121101, 149.769927 -5.158149, 149.716093 -5.204201, 149.6701 -5.258126, 149.63308 -5.318596, 149.605946 -5.384126, 149.589369 -5.453103, 149.583761 -5.523829, 149.589263 -5.594563, 149.605745 -5.663563, 149.632803 -5.72913, 149.669774 -5.789648, 149.715751 -5.843624, 149.769602 -5.889728, 149.83 -5.926823, 149.895456 -5.953993, 149.964356 -5.970568, 150.035 -5.976139, 150.105644 -5.970568, 150.174544 -5.953993, 150.24 -5.926823, 150.300398 -5.889728, 150.354249 -5.843624, 150.400226 -5.789648, 150.437197 -5.72913, 150.464255 -5.663563, 150.480737 -5.594563, 150.486239 -5.523829, 150.480631 -5.453103, 150.464054 -5.384126, 150.43692 -5.318596, 150.3999 -5.258126, 150.353907 -5.204201, 150.300073 -5.158149, 150.239723 -5.121101, 150.174343 -5.093968, 150.105538 -5.077417, 150.035 -5.071854))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044954-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/nfu5po/aehanf
title: P_20180520.csv
DOI: 10.13130/rd_unimi/nfu5po/muo87t
title: P_20180509.csv
DOI: 10.13130/rd_unimi/nfu5po/qrvn3v
title: T_20181010.csv
DOI: 10.13130/rd_unimi/nfu5po/bdjfsy
title: T_20180530.csv
DOI: 10.13130/rd_unimi/nfu5po/mv5efv
title: P_20180517.csv
DOI: 10.13130/rd_unimi/nfu5po/ufhmrf
title: P_20180530.csv
DOI: 10.13130/rd_unimi/nfu5po/ac6t09
title: T_20181013.csv
DOI: 10.13130/rd_unimi/nfu5po/oummms
title: P_20181016.csv
DOI: 10.13130/rd_unimi/nfu5po/yzm9yc
title: P_20180503.csv
DOI: 10.13130/rd_unimi/nfu5po/gnrki4
title: P_20181012.csv
DOI: 10.13130/rd_unimi/nfu5po/gb5oq8
title: P_20181020.csv
DOI: 10.13130/rd_unimi/nfu5po/thkijo
title: P_20181005.csv
DOI: 10.13130/rd_unimi/nfu5po/fdvtbm
title: P_20180529.csv
DOI: 10.13130/rd_unimi/nfu5po/nxopjk
title: T_20181023.csv
DOI: 10.13130/rd_unimi/nfu5po/zucdfc
title: P_20180531.csv
DOI: 10.13130/rd_unimi/nfu5po/obihu1
title: P_20181031.csv
DOI: 10.13130/rd_unimi/nfu5po/s7sci9
title: T_20181006.csv
DOI: 10.13130/rd_unimi/nfu5po/zydtmm
title: T_20180526.csv
DOI: 10.13130/rd_unimi/nfu5po/fqglsh
title: P_20181014.csv
DOI: 10.13130/rd_unimi/nfu5po/2mnlxp
title: P_20181003.csv
DOI: 10.13130/rd_unimi/nfu5po/jazcgc
title: T_20181005.csv
DOI: 10.13130/rd_unimi/nfu5po/4zqpro
title: P_20180511.csv
DOI: 10.13130/rd_unimi/nfu5po/rdk9cm
title: T_20181001.csv
DOI: 10.13130/rd_unimi/nfu5po/1vpfvy
title: T_20181012.csv
DOI: 10.13130/rd_unimi/nfu5po/kbiy2j
title: P_20180512.csv
DOI: 10.13130/rd_unimi/nfu5po/vzpy8v
title: T_20180523.csv
DOI: 10.13130/rd_unimi/nfu5po/xqhfgk
title: T_20180525.csv
DOI: 10.13130/rd_unimi/nfu5po/q8zhc7
title: P_20180505.csv
DOI: 10.13130/rd_unimi/nfu5po/paq8l0
title: P_20180528.csv
DOI: 10.13130/rd_unimi/nfu5po/kgmbsd
title: P_20181013.csv
DOI: 10.13130/rd_unimi/nfu5po/vndajz
title: P_20180519.csv
DOI: 10.13130/rd_unimi/nfu5po/hntuyl
title: T_20181021.csv
DOI: 10.13130/rd_unimi/nfu5po/ckp6ks
title: T_20180527.csv
DOI: 10.13130/rd_unimi/nfu5po/dmryag
title: P_20180521.csv
DOI: 10.13130/rd_unimi/nfu5po/gg93sg
title: T_20180506.csv
DOI: 10.13130/rd_unimi/nfu5po/iabumr
title: P_20181011.csv
DOI: 10.13130/rd_unimi/nfu5po/5k1unf
title: P_20180526.csv
DOI: 10.13130/rd_unimi/nfu5po/h719iu
title: P_20180506.csv
DOI: 10.13130/rd_unimi/nfu5po/mhyf6y
title: P_20181010.csv
DOI: 10.13130/rd_unimi/nfu5po/k0mi5i
title: P_20181006.csv
DOI: 10.13130/rd_unimi/nfu5po/pdkqvf
title: P_20180507.csv
DOI: 10.13130/rd_unimi/nfu5po/gpdikp
title: T_20180515.csv
DOI: 10.13130/rd_unimi/nfu5po/ras0jn
title: T_20180513.csv
DOI: 10.13130/rd_unimi/nfu5po/jzbjrc
title: P_20180527.csv
DOI: 10.13130/rd_unimi/nfu5po/rvny4h
title: P_20181007.csv
DOI: 10.13130/rd_unimi/nfu5po/1ywoqk
title: P_20180504.csv
DOI: 10.13130/rd_unimi/nfu5po/sw4tkj
title: T_20181014.csv
DOI: 10.13130/rd_unimi/nfu5po/uguyoy
title: P_20181017.csv
DOI: 10.13130/rd_unimi/nfu5po/tjns8f
title: P_20181019.csv
DOI: 10.13130/rd_unimi/nfu5po/yo2wxt
title: T_20180507.csv
DOI: 10.13130/rd_unimi/nfu5po/eruujl
title: P_20180502.csv
DOI: 10.13130/rd_unimi/nfu5po/el2r1z
title: P_20180513.csv
DOI: 10.13130/rd_unimi/nfu5po/ixywkq
title: T_20180504.csv
DOI: 10.13130/rd_unimi/nfu5po/yfclwf
title: P_20181030.csv
DOI: 10.13130/rd_unimi/nfu5po/hmypou
title: P_20181015.csv
DOI: 10.13130/rd_unimi/nfu5po/psuytz
title: P_20180523.csv
DOI: 10.13130/rd_unimi/nfu5po/3c1art
title: P_20181001.csv
DOI: 10.13130/rd_unimi/nfu5po/c2yxey
title: P_20180514.csv
DOI: 10.13130/rd_unimi/nfu5po/xejfzz
title: T_20181024.csv
DOI: 10.13130/rd_unimi/nfu5po/df1bl9
title: P_20180508.csv
DOI: 10.13130/rd_unimi/nfu5po/qlgxzs
title: T_20180518.csv
DOI: 10.13130/rd_unimi/nfu5po/qbelje
title: T_20181008.csv
DOI: 10.13130/rd_unimi/nfu5po/n7kapd
title: T_20180531.csv
DOI: 10.13130/rd_unimi/nfu5po/yhqz5f
title: T_20180508.csv
DOI: 10.13130/rd_unimi/nfu5po/dokopc
title: T_20180521.csv
DOI: 10.15468/dl.fp43w4
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opisthosyllis laevis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044955-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/nfu5po/d1qmyu
title: T_20181016.csv
DOI: 10.13130/rd_unimi/nfu5po/r8hpcl
title: T_20181007.csv
DOI: 10.13130/rd_unimi/nfu5po/vpy2nb
title: P_20180518.csv
DOI: 10.13130/rd_unimi/nfu5po/m2i6xk
title: T_20180502.csv
DOI: 10.13130/rd_unimi/nfu5po/35a75r
title: T_20180511.csv
DOI: 10.13130/rd_unimi/nfu5po/gl64mv
title: P_20180515.csv
DOI: 10.13130/rd_unimi/nfu5po/3jpsmz
title: T_20180528.csv
DOI: 10.13130/rd_unimi/nfu5po/iemmvx
title: T_20180509.csv
DOI: 10.13130/rd_unimi/nfu5po/ikpynp
title: P_20181002.csv
DOI: 10.13130/rd_unimi/nfu5po/pdeact
title: P_20181024.csv
DOI: 10.13130/rd_unimi/nfu5po/ri1abn
title: T_20181025.csv
DOI: 10.13130/rd_unimi/nfu5po/7k1zob
title: P_20180522.csv
DOI: 10.13130/rd_unimi/nfu5po/b6sfrw
title: P_20181028.csv
DOI: 10.13130/rd_unimi/nfu5po/isssct
title: T_20180516.csv
DOI: 10.13130/rd_unimi/nfu5po/oepicg
title: T_20181018.csv
DOI: 10.13130/rd_unimi/nfu5po/pcsahi
title: T_20181020.csv
DOI: 10.13130/rd_unimi/nfu5po/lffs4y
title: T_20181002.csv
DOI: 10.13130/rd_unimi/nfu5po/e8cwm4
title: P_20181018.csv
DOI: 10.13130/rd_unimi/nfu5po/rs1pnj
title: P_20181008.csv
DOI: 10.13130/rd_unimi/nfu5po/jspv8z
title: P_20181004.csv
DOI: 10.13130/rd_unimi/nfu5po/cu0hrf
title: T_20181030.csv
DOI: 10.13130/rd_unimi/nfu5po/21zmy6
title: P_20180501.csv
DOI: 10.13130/rd_unimi/nfu5po/jvjdem
title: T_20180524.csv
DOI: 10.13130/rd_unimi/nfu5po/hbnkrf
title: T_20180503.csv
DOI: 10.13130/rd_unimi/nfu5po/oixmyu
title: T_20181026.csv
DOI: 10.13130/rd_unimi/nfu5po/kxzqkj
title: T_20181009.csv
DOI: 10.13130/rd_unimi/nfu5po/cy0fvi
title: T_20181031.csv
DOI: 10.13130/rd_unimi/nfu5po/gf2e2w
title: P_20181029.csv
DOI: 10.13130/rd_unimi/nfu5po/syxuuu
title: T_20180510.csv
DOI: 10.13130/rd_unimi/nfu5po/qgch3y
title: P_20181023.csv
DOI: 10.13130/rd_unimi/nfu5po/0vzbog
title: P_20181009.csv
DOI: 10.13130/rd_unimi/nfu5po/g08exy
title: T_20181019.csv
DOI: 10.13130/rd_unimi/nfu5po/eb37sr
title: T_20180522.csv
DOI: 10.13130/rd_unimi/nfu5po/9l2lq7
title: README.txt

description: READ ME
DOI: 10.15468/dl.64gxbk
title: Occurrence Download

description: A dataset containing 4143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Monetaria annulus"
 ]
}

 The dataset includes 4143 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044956-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuyg5h
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((150.085 -5.033853, 150.014466 -5.039416, 149.945665 -5.055967, 149.880289 -5.083101, 149.819943 -5.120149, 149.766112 -5.166201, 149.720122 -5.220126, 149.683104 -5.280597, 149.655972 -5.346127, 149.639397 -5.415104, 149.633789 -5.48583, 149.639292 -5.556564, 149.655773 -5.625564, 149.682829 -5.691131, 149.719799 -5.751649, 149.765773 -5.805625, 149.81962 -5.851729, 149.880014 -5.888824, 149.945466 -5.915994, 150.014361 -5.932569, 150.085 -5.93814, 150.155639 -5.932569, 150.224534 -5.915994, 150.289986 -5.888824, 150.35038 -5.851729, 150.404227 -5.805625, 150.450201 -5.751649, 150.487171 -5.691131, 150.514227 -5.625564, 150.530708 -5.556564, 150.536211 -5.48583, 150.530603 -5.415104, 150.514028 -5.346127, 150.486896 -5.280597, 150.449878 -5.220126, 150.403888 -5.166201, 150.350057 -5.120149, 150.289711 -5.083101, 150.224335 -5.055967, 150.155534 -5.039416, 150.085 -5.033853))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044958-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14093219
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.wmwdqj
title: Occurrence Download

description: A dataset containing 777 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Cymodocea nodosa"
 ]
}

 The dataset includes 777 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044957-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/mt0v-mkqe-pa0z
title: ICECHIP: Web-App Ground Hail Reports. Version 1.0

description: Ground hail survey observations collected using the Northern Illinois University web app. Observations were made on storms intercepted by ground teams during ICECHIP (In-situ Collaborative Experiment for the Collection of Hail In the Plains) campaign operations.
DOI: 10.15468/dl.q65wj4
title: Occurrence Download

description: A dataset containing 10234 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pomacea canaliculata"
 ]
}

 The dataset includes 10234 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044961-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwuvxy
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opisthosyllis ankylochaeta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044962-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9bx2w
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ephedra sinica"
 ]
}

 The dataset includes 251 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044959-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/ds-oharai
title: Ximo Mengual

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.t6asnb
title: Occurrence Download

description: A dataset containing 1187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Saccorhiza polyschides"
 ]
}

 The dataset includes 1187 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044963-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.