cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5878/002915
title: Where is your Stockholm?
title: Var är ditt Stockholm?

description: "Where is your Stockholm?" ("Var är ditt Stockholm?") is the first Public Participatory GIS (PPGIS) survey to address emotional, social, and environmental qualities at once. The social-ecological picture of Stockholm that emerges from the data can be used for a variety of different purposes; from analysis of everyday routines, to where people in Stockholm connect to the green infrastructure.

Purpose:
The dataset aims to describe positive and negative experiences that exist in the landscape of Stockholm together with social, environmental and psychological attributes. Because all datapoints are geographically mapped using GIS, this dataset provides a social-ecological understanding of Stockholm.

The file with background information contains 38 variables and responses from 833 individuals.
The file with geographical points contains 94 variables and 2983 registered reports.
description: Studien "Var är ditt Stockholm" är en Public Participatory GIS (PPGIS) surveyundersökning kring emotionella, sociala och miljörelaterade aspekter. Den socioekonomiska bilden av Stockholm som framgår av data kan användas för en rad olika ändamål. Från analys av vardagliga rutiner, till där människor i Stockholm ansluter till den gröna infrastrukturen.

Syfte:
Datamaterialet syftar till att beskriva positiva och negativa upplevelser som finns i Stockholms landskap tillsammans med sociala, miljömässiga och psykologiska attribut. Eftersom alla datapunkter är geografiskt kartlagda med GIS, ger denna datauppsättning en social-ekologisk förståelse för Stockholm.

Filen med bakgrundsinformation innehåller 38 variabler och svar från 833 individer.
Filen med geografisk punkter innehåller 94 variabler och 2983 registrerade inrapporteringar.
DOI: 10.58141/qebs-8g77
title: Where is your Stockholm?
title: Var är ditt Stockholm?

description: "Where is your Stockholm?" ("Var är ditt Stockholm?") is the first Public Participatory GIS (PPGIS) survey to address emotional, social, and environmental qualities at once. The social-ecological picture of Stockholm that emerges from the data can be used for a variety of different purposes; from analysis of everyday routines, to where people in Stockholm connect to the green infrastructure.

Purpose:
The dataset aims to describe positive and negative experiences that exist in the landscape of Stockholm together with social, environmental and psychological attributes. Because all datapoints are geographically mapped using GIS, this dataset provides a social-ecological understanding of Stockholm.

The file with background information contains 38 variables and responses from 833 individuals.
The file with geographical points contains 94 variables and 2983 registered reports.
description: Studien "Var är ditt Stockholm" är en Public Participatory GIS (PPGIS) surveyundersökning kring emotionella, sociala och miljörelaterade aspekter. Den socioekonomiska bilden av Stockholm som framgår av data kan användas för en rad olika ändamål. Från analys av vardagliga rutiner, till där människor i Stockholm ansluter till den gröna infrastrukturen.

Syfte:
Datamaterialet syftar till att beskriva positiva och negativa upplevelser som finns i Stockholms landskap tillsammans med sociala, miljömässiga och psykologiska attribut. Eftersom alla datapunkter är geografiskt kartlagda med GIS, ger denna datauppsättning en social-ekologisk förståelse för Stockholm.

Filen med bakgrundsinformation innehåller 38 variabler och svar från 833 individer.
Filen med geografisk punkter innehåller 94 variabler och 2983 registrerade inrapporteringar.
DOI: 10.5281/zenodo.17140241
title: SC-Para_v1.0
DOI: 10.5281/zenodo.17140240
title: SC-Para_v1.0
DOI: 10.2909/34ef6334-d432-4041-a3da-67e156d6501d
title: Imperviousness Density 2021 (raster 10 m), Europe, 3-yearly, Jun 2025

description: The Imperviousness Density (IMD) 2021 layer is part of the High Resolution Layer (HRL) Imperviousness and contains the approximate density of artificial sealing per pixel (range: 0-100%) for the reference year 2021 as derived from Sentinel-2 image time series. The production of the HRL Imperviousness is coordinated by EEA in the frame of Copernicus, the Earth observation component of the European Union’s Space programme.

The product is a raster dataset with 10-meter grid spacing (spatial resolution) that covers the 38 Eionet member and cooperating countries as well as the United Kingdom (i.e. EEA38+UK). It is distributed as 100 x 100 km tiles that are fully conformant with the EEA reference grid.
DOI: 10.6084/m9.figshare.30145750
title: R code and data for "Tree diversity increases the distribution-evenness and biomass of fine roots in a subtropical forest experiment"

description: Fine roots mediate belowground resource uptake and carbon sequestration, yet how tree diversity shapes fine root systems remains underexplored. Using &gt; 2800 soil cores from &gt; 150 plots in a large-scale subtropical forest biodiversity experiment, we quantified horizontal and vertical homogeneity of fine-root biomass and related them to tree species richness and stand age.
DOI: 10.6084/m9.figshare.30145750.v1
title: R code and data for "Tree diversity increases the distribution-evenness and biomass of fine roots in a subtropical forest experiment"

description: Fine roots mediate belowground resource uptake and carbon sequestration, yet how tree diversity shapes fine root systems remains underexplored. Using &gt; 2800 soil cores from &gt; 150 plots in a large-scale subtropical forest biodiversity experiment, we quantified horizontal and vertical homogeneity of fine-root biomass and related them to tree species richness and stand age.
DOI: 10.15468/dl.su6cud
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cheirodon australe)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009950-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgafj4
title: Occurrence Download

description: A dataset containing 46 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (GBIF_WITHIN('POLYGON((-168.46054 -57.16941,-164.46054 -57.16941,-164.46054 -53.16941,-168.46054 -53.16941,-168.46054 -57.16941))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE OR occurrence.decimallatitude &gt;= -14.52938 AND occurrence.decimallatitude &lt;= 3.52649 AND (occurrence.decimallongitude &gt;= 148.08772 AND occurrence.decimallongitude &lt;= 167.57349) AND GBIF_WITHIN('POLYGON ((148.08772 3.52649, 158.32949 -14.52938, 162.69871 -13.67445, 167.57349 -5.31085, 163.65455 0.08964, 148.08772 3.52649))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE)
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 9455 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 9455 OR CAST(occurrence.kingdomkey AS INTEGER) = 9455 OR CAST(occurrence.phylumkey AS INTEGER) = 9455 OR CAST(occurrence.classkey AS INTEGER) = 9455 OR CAST(occurrence.orderkey AS INTEGER) = 9455 OR CAST(occurrence.familykey AS INTEGER) = 9455 OR CAST(occurrence.genuskey AS INTEGER) = 9455 OR CAST(occurrence.specieskey AS INTEGER) = 9455)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 46 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009905-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45m2mz
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silphium perfoliatum",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 61 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009953-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdt4hh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silphium perfoliatum",
 "Country is Moldova, Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009951-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bppvx
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silphium perfoliatum",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 160 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009952-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9apxw9
title: Occurrence Download

description: A dataset containing 46 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (GBIF_WITHIN('POLYGON((-168.46054 -57.16941,-164.46054 -57.16941,-164.46054 -53.16941,-168.46054 -53.16941,-168.46054 -57.16941))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE OR occurrence.decimallatitude &gt;= -14.52938 AND occurrence.decimallatitude &lt;= 3.52649 AND (occurrence.decimallongitude &gt;= 148.08772 AND occurrence.decimallongitude &lt;= 167.57349) AND GBIF_WITHIN('POLYGON ((148.08772 3.52649, 158.32949 -14.52938, 162.69871 -13.67445, 167.57349 -5.31085, 163.65455 0.08964, 148.08772 3.52649))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE)
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 9455 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 9455 OR CAST(occurrence.kingdomkey AS INTEGER) = 9455 OR CAST(occurrence.phylumkey AS INTEGER) = 9455 OR CAST(occurrence.classkey AS INTEGER) = 9455 OR CAST(occurrence.orderkey AS INTEGER) = 9455 OR CAST(occurrence.familykey AS INTEGER) = 9455 OR CAST(occurrence.genuskey AS INTEGER) = 9455 OR CAST(occurrence.specieskey AS INTEGER) = 9455)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 46 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009911-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afudd8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Acrocnida brachiata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009906-250914085247600/datasets/export for details.
DOI: 10.7910/dvn/ngsjmk
title: When Marriage Ends, Politics Change: Divorce and the Decline of Conservatism

description: Divorce is no longer merely a private rupture in family life but a central marker of social transformation with far-reaching political consequences. By reshaping personal identities, altering economic security, and reconfiguring institutional ties, marital dissolution reverberates into the political sphere, influencing both individual preferences and collective electoral outcomes. This study examines divorce as a politically consequential life event in South Korea, where Confucian family norms retain influence and divorce continues to carry social stigma. Employing a multi-method design, the analysis links micro-level changes to macro-level dynamics. Panel fixed-effects models from the Korean Welfare Panel Study capture within-individual shifts in ideological self-placement before and after divorce. Cross-sectional data from the Korean General Social Survey evaluate whether divorced citizens are less likely to support conservative presidential candidates. District-level electoral and administrative data spanning five national elections between 2012 and 2022 assess whether higher divorce prevalence corresponds with reduced conservative vote shares. Across these analyses, a consistent pattern emerges: divorce is associated with a measurable decline in conservatism at both the individual and aggregate levels. The findings highlight divorce as a mechanism of progressive realignment, demonstrating how life-course disruptions recalibrate political attachments and underscoring family transformation as an overlooked driver of democratic change.
DOI: 10.15468/dl.c62k8u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silphium perfoliatum",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009954-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ac5cz
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silphium perfoliatum",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 57 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009956-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjwdkx
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silphium perfoliatum",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 246 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009957-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8m7geu
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtandra auriculata"
 ]
}

 The dataset includes 23 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009959-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4xh3d
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtandra carnosa"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009961-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/1q85-wd77
title: NBDL-HHG28F21JBDTZ5
DOI: 10.25919/pd9e-s567
title: NBDL-HK3PNAQSHR2ZX9
DOI: 10.25919/jfre-pe11
title: NBDL-HK3PNAR0GRV6RP
DOI: 10.25919/qwxs-2b30
title: NBDL-HK3PNARAMRVPKE
DOI: 10.25919/j5bf-dq67
title: NBDL-HHG28F59HB4VP2
DOI: 10.25919/eq9k-8191
title: NBDL-HK3PGJA8JRBRAE
DOI: 10.25919/bh5k-af22
title: NBDL-HK3PNARKPRT8NJ
DOI: 10.25919/pxr8-he71
title: NBDL-HK3PNARHJRTBGT
DOI: 10.25919/3f1y-ya84
title: NBDL-HK3PGJB4JRD0WY
DOI: 10.25919/hpmx-kr13
title: NBDL-HHG28F3XJBK6HN
DOI: 10.25919/tjxf-h732
title: NBDL-HHG28F3NJBCTCN
DOI: 10.15468/dl.e2qnd3
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silphium perfoliatum",
 "Country is Ukraine",
 "HasCoordinate is true"
 ]
}

 The dataset includes 136 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009963-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/hjcd-1g20
title: NBDL-HHG28F45HBAXEJ
DOI: 10.25919/jqy3-zc48
title: NBDL-HK3PNAT0QS43VK
DOI: 10.25919/j3cw-0338
title: NBDL-HHG28F4NHB9M4J
DOI: 10.25919/9y8y-je10
title: NBDL-HK3PNAQVNR2V61
DOI: 10.25919/bggm-0r47
title: NBDL-HHG28F34MBKKG9
DOI: 10.25919/xe4d-wa68
title: NBDL-HHG28F5GQBA33E
DOI: 10.25919/wc68-rz76
title: NBDL-HHG28F3PGBCSH1
DOI: 10.25919/g8fh-0f98
title: NBDL-HK3PNAQYKR23AD
DOI: 10.25919/13ke-8p11
title: NBDL-HHG28F3SJBCW65
DOI: 10.25919/drra-z130
title: NBDL-HHG28F0YQBG65W
DOI: 10.25919/6am9-jf34
title: NBDL-HK3PGJA6PRBNF6
DOI: 10.25919/hzcj-sh64
title: NBDL-HK3PNAQPKR2QSD
DOI: 10.25919/kzrk-0491
title: NBDL-HHG28F11HBH720
DOI: 10.25919/pakh-kq18
title: NBDL-HHG28F5HHBBXH2
DOI: 10.25919/nbt2-5e02
title: NBDL-HK3PGJCGNR1MQH
DOI: 10.25919/6ney-ed89
title: NBDL-HHG28F5MQBA5TY
DOI: 10.25919/20qq-yd42
title: NBDL-HK3PNASMGRR586
DOI: 10.25919/9665-4y54
title: NBDL-HHG28F5CQBB3KY
DOI: 10.25919/54sa-x009
title: NBDL-HHG28F2VPBDKEX
DOI: 10.25919/4140-6h81
title: NBDL-HK3PNASGGRRZPP
DOI: 10.25919/efc5-f832
title: NBDL-HHG28F42KBAN2P
DOI: 10.25919/hyx9-4m03
title: NBDL-HHG28F56KBB906
DOI: 10.25919/01kq-vd84
title: NBDL-HHG28F0NHBHMEG
DOI: 10.25919/5y9a-zg86
title: NBDL-HK3PNASSJRRHVT
DOI: 10.25919/ghvb-0v65
title: NBDL-HHG28F2NJBD5GN
DOI: 10.25919/e9f1-5n28
title: NBDL-HHG28F1VNBJSNR
DOI: 10.25919/t6vw-fz94
title: NBDL-HHG28F4YKB9A16
DOI: 10.25919/jcfb-e390
title: NBDL-HHG28F4WQB9F5Y
DOI: 10.25919/cty5-p728
title: NBDL-HHG28F1MKBJ004
DOI: 10.25919/1n6m-d994
title: NBDL-HHG28F3TGBK28H
DOI: 10.25919/epkj-tb23
title: NBDL-HHG28F4VNB925A
DOI: 10.25919/g6nb-ck72
title: NBDL-HHG28F43NBAQGA
DOI: 10.25919/ye66-5838
title: NBDL-HHG28F2QPBDAQD
DOI: 10.6084/m9.figshare.30145390.v1
title: Data and codes for Local-CSF method in road extraction

description: The data and codes that support the findings of the study of "A local CSF-based method for extracting urban roads from SDGSAT-1 nighttime light data".
DOI: 10.6084/m9.figshare.30145390
title: Data and codes for Local-CSF method in road extraction

description: The data and codes that support the findings of the study of "A local CSF-based method for extracting urban roads from SDGSAT-1 nighttime light data".
DOI: 10.25919/esb9-5910
title: NBDL-HHG28F2CMBC899
DOI: 10.25919/6wrw-kz02
title: NBDL-HK3PNAT8QS4PEK
DOI: 10.25919/80q3-dk82
title: NBDL-HK3PGJC6HR1AH9
DOI: 10.25919/z999-9z36
title: NBDL-HHG28F46KBAZW6
DOI: 10.25919/g96p-dt25
title: NBDL-HHG28F4TKB91QP
DOI: 10.25919/k9p7-hp55
title: NBDL-HHG28F23PBDZKX
DOI: 10.25919/7aby-n468
title: NBDL-HHG28F5DHB4W1J
DOI: 10.25919/3180-kh13
title: NBDL-HK3PGJBQGRAT7A
DOI: 10.25919/b23h-4b29
title: NBDL-HHG28F5FNB4ZAT
DOI: 10.25919/vtj5-az65
title: NBDL-HK3PNASPMRR2DY
DOI: 10.25919/6y3d-qb65
title: NBDL-HK3PGJA4JRBJGY
DOI: 10.25919/vfr3-cv52
title: NBDL-HK3PGJBMJRASTY
DOI: 10.15468/dl.fc3jre
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtandra multifolia"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009964-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/jr0y-jp07
title: NBDL-HK3PGJC1KR1FYD
DOI: 10.57760/sciencedb.28204
title: HFID Dataset
title: HFID Dataset

description: We propose a large-scale dataset called HFID for handwritten formula recognition. To the best of our knowledge, HFID, which contains 26 520 hand written formula images, is the biggest dataset for handwritten formula recognition. Besides, HFID can be used for not only HMER but also handwritten chemical equation recognition.
description: We propose a large-scale dataset called HFID for handwritten formula recognition. To the best of our knowledge, HFID, which contains 26 520 hand written formula images, is the biggest dataset for handwritten formula recognition. Besides, HFID can be used for not only HMER but also handwritten chemical equation recognition.
DOI: 10.25919/yv9q-ve29
title: NBDL-HHG28F3HJBCHN5