cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a27cat
title: Occurrence Download

description: A dataset containing 31910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anacamptis laxiflora"
 ]
}

 The dataset includes 31910 records from 600 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010018-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15161/oar.it/211804
title: Note Illustrative della Carta geologica d'Italia alla scala 1:50.000, F. 288 Arezzo
DOI: 10.6084/m9.figshare.30724190
title: Data on microtopography-vegetation effects in the Yangguan sample plot in China

description: Vegetation distribution patterns result from the combined effects of various ecological factors. Traditional research has primarily focused on macro-climate scales (e.g., satellite remote sensing), with limited attention to the heterogeneity of vegetation spatial distribution under the same climatic background at micro-scales (e.g., Unmanned Aerial Vehicle/UAV scale). This heterogeneity is particularly pronounced in hyper-arid regions, making it crucial for understanding microtopography-mediated water redistribution and complementing micro-scale details of macro-vegetation patterns. This study: (1) took the Yangguan plot (94.21°E, 40.00°N; 650×750 m in dimension) in the hyper-arid Gobi Desert of East Asia as a case study. Based on UAV photogrammetry, we employed Structure from Motion and Multi-View Stereo (SfM-MVS) techniques to achieve decimeter-resolution microtopography reconstruction. (2) Based on 1,000,000 random sampling points and 3,001 shrub centroids, we extracted 17 microtopographic, hydrological, and vegetation indicators for statistical modeling. In univariate models, hydrological indicators such as Flow Accumulation (FA) and Topographic Wetness Index (TWI) were identified as the primary indicators influencing vegetation distribution (R² &gt; 0.1). Among multivariate models, the random forest model demonstrated the best predictive performance (maximum R² = 0.88). (3) We preliminarily revealed the mechanisms by which microtopography regulates water and vegetation distribution patterns: windward and leeward slopes affect moisture supply, while topographic relief shapes surface runoff to redistribute water resources. In catchment areas with enriched water, vegetation coverage increases significantly. This study provides new micro-scale perspective for the conservation of vegetation in hyper-arid regions under global change.
DOI: 10.6084/m9.figshare.30724190.v1
title: Data on microtopography-vegetation effects in the Yangguan sample plot in China

description: Vegetation distribution patterns result from the combined effects of various ecological factors. Traditional research has primarily focused on macro-climate scales (e.g., satellite remote sensing), with limited attention to the heterogeneity of vegetation spatial distribution under the same climatic background at micro-scales (e.g., Unmanned Aerial Vehicle/UAV scale). This heterogeneity is particularly pronounced in hyper-arid regions, making it crucial for understanding microtopography-mediated water redistribution and complementing micro-scale details of macro-vegetation patterns. This study: (1) took the Yangguan plot (94.21°E, 40.00°N; 650×750 m in dimension) in the hyper-arid Gobi Desert of East Asia as a case study. Based on UAV photogrammetry, we employed Structure from Motion and Multi-View Stereo (SfM-MVS) techniques to achieve decimeter-resolution microtopography reconstruction. (2) Based on 1,000,000 random sampling points and 3,001 shrub centroids, we extracted 17 microtopographic, hydrological, and vegetation indicators for statistical modeling. In univariate models, hydrological indicators such as Flow Accumulation (FA) and Topographic Wetness Index (TWI) were identified as the primary indicators influencing vegetation distribution (R² &gt; 0.1). Among multivariate models, the random forest model demonstrated the best predictive performance (maximum R² = 0.88). (3) We preliminarily revealed the mechanisms by which microtopography regulates water and vegetation distribution patterns: windward and leeward slopes affect moisture supply, while topographic relief shapes surface runoff to redistribute water resources. In catchment areas with enriched water, vegetation coverage increases significantly. This study provides new micro-scale perspective for the conservation of vegetation in hyper-arid regions under global change.
DOI: 10.15468/dl.cchknm
title: Occurrence Download

description: A dataset containing 1282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-11.42485 34.20732,4.38999 34.20732,4.38999 43.60527,-11.42485 43.60527,-11.42485 34.20732))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (7b4f2f30-a456-11d9-8049-b8a03c50a862, ada19a05-4216-44c7-aa4f-6e7177bcb0ac, 2522fd75-acb0-424b-8cc9-8d9e9e610d30, 7338b4d9-d75b-4edb-b238-b09f52397f49)",
 "TaxonKey is Discoglossus pictus"
 ]
}

 The dataset includes 1282 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010020-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/4610006901-fra
title: Propriétaires de propriétés résidentielles selon le statut d’investisseur

description: Données sur le nombre de propriétaires de propriétés résidentielles par statut d'investisseur, type de propriétaire et nombre de propriétés résidentielles détenues ainsi que le revenu total des propriétaires qui sont des individus et qui ont produit leur déclaration de revenus T1.
DOI: 10.17029/c293e643-7dee-44d4-a333-b089710bfbda
title: Dataset for “The role of Pain Resilience in the Association between Physical Activity and Pain”

description: For the project 'The role of Pain Resilience in the Association between Physical Activity and Pain'.

This was a cross-sectional online study. Participants were recruited via the online research participation platform Prolific (www.prolific.com) between 05/02/2024 and 13/02/2024.
DOI: 10.26301/67nh-xc30
title: St. Mihiel American Cemetery

description: To honor the centennial anniversary of the First World War, CyArk partnered with the American Battle Monuments Commission (ABMC) to document eight military cemetery chapels dedicated to the American armed forces throughout Europe. The Saint-Mihiel Cemetery memorial, chapel and map room were documented in August 2016 using LiDAR laser scanning and aerial and terrestrial photogrammetry. CyArkâ€™s digital documentation allows people who are unable to physically visit the site to experience the monument and remember those who gave their lives for their country.
description: The St. Mihiel American Cemetery and Memorial is located at the west edge of Thiaucourt (Meurthe-et-Moselle), France. The 40.5 acres (16.4 ha) cemetery contains the graves of 4,153 American military dead from World War I. The majority of these died in the Battle of Saint-Mihiel, an offensive that resulted in the reduction of the St. Mihiel salient that threatened Paris.

The burial area is divided by Linden alignment trees and paths into four equal plots. At the center is a large sundial surmounted by an American eagle. To the west is a statue of a World War I soldier and at the eastern end is a semi-circular overlook dominated by a sculpture representing a victory vase. 

Beyond the burial area to the south is the white stone memorial consisting of a small chapel, a peristyle with a large rose-granite funeral urn at its center, and a map building. The chapel contains a beautiful mosaic portraying an angel sheathing his sword. On two walls of the museum are recorded the names of 284 of the missing. Rosettes mark the names of those since recovered and identified. On the wall facing the door is a large map of inlaid marble depicting the St. Mihiel Offensive.
description: LiDAR - Terrestrial, Photogrammetry - Aerial, Photogrammetry - Terrestrial
DOI: 10.15468/dl.fj874h
title: Occurrence Download

description: A dataset listing the 210606 species recorded in GBIF matching the query:
{
 "and" : [
 "PublishingCountry is Spain",
 "BasisOfRecord is one of (Fossil, Living Specimen, Specimen, Material sample, Material citation)"
 ]
}

 The dataset's 210606 records were derived from 308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010013-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dr2e8d
title: Occurrence Download

description: A dataset containing 5740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Geometry POLYGON((-75.13005 8.48992,-75.07923 7.71904,-74.22363 7.71339,-74.04009 8.51251,-74.43541 8.63676,-75.13005 8.48992))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1000-2025"
 ]
}

 The dataset includes 5740 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010021-251120083545085/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/13882221
title: Mahanagar Yatayat Transport Dataset
DOI: 10.34740/kaggle/dsv/13882235
title: BOS Kemdikbud
DOI: 10.5518/404
title: myPAL Co-design Phase 1 Visualisations

description: This set of visualisations were created by students and tutors who took part in the phase 1 co-design as part of the HEFCE-funded myPAL@work project. The pictures are their ideas for how to better visualise their learning data (mainly workplace based learning assessments but also summative assessments) in the myPAL system in order to help them to review and manage their learning more effectively. The spreadsheet is the initial analysis undertaken by the myPAL management team (dataset creators) of these visualisations, in which the visualisations were first reviewed overall to identify the types of question that were being asked/answered and then each individual visualisation was tagged with the main (and secondary) questions that the management group felt it was answering. The management group’s review and decisions were also influenced by their knowledge of the discussion in the co-design workshops (four of the group had been workshop facilitators) and the transcripts of those discussions.
DOI: 10.15468/dl.fwjr3c
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((34.92501 33.60917,36.01734 33.60917,36.01734 34.04663,34.92501 34.04663,34.92501 33.60917))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Retama raetam",
 "Year 1985-2017"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010022-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bat4s2
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, Guadeloupe, Martinique, Saint Martin (French part), Saint Barthélemy, Saint Pierre and Miquelon, French Guiana, French Southern Territories, Mayotte, Réunion, French Polynesia, New Caledonia, Wallis and Futuna)",
 "Geometry POLYGON((7.28528 47.84902,7.28533 47.84563,7.28406 47.84563,7.28361 47.84496,7.28567 47.84318,7.283 47.83896,7.27783 47.83524,7.27439 47.8319,7.27305 47.82818,7.27844 47.82913,7.28378 47.82596,7.28695 47.82712,7.28456 47.83001,7.2915 47.8299,7.29361 47.83302,7.29367 47.83774,7.29561 47.83891,7.29434 47.84296,7.29939 47.84513,7.29789 47.84607,7.29634 47.84641,7.29317 47.84902,7.28528 47.84902))",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 88 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010024-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwqm6c
title: Occurrence Download

description: A dataset containing 990211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus"
 ]
}

 The dataset includes 990211 records from 3007 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009983-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/2ayea2/uvfoqr
title: gru_4.ckpt

description: :unav
DOI: 10.25625/2ayea2/cfjtjc
title: gru_3.ckpt

description: :unav
DOI: 10.25625/2ayea2/b1t492
title: gru_2.ckpt

description: :unav
DOI: 10.25625/2ayea2/cahqgi
title: gru_0.ckpt

description: :unav
DOI: 10.25625/2ayea2/4yv7ym
title: gru_1.ckpt

description: :unav
DOI: 10.25625/2ayea2/hszhoi
title: config_noids.yaml

description: :unav
DOI: 10.25625/2ayea2
title: Tree Species Maps Germany - Model Weights

description: These model weights were generated by training on 5-fold cross-validation on the S2GNFI dataset (https://www.openagrar.de/receive/openagrar_mods_00094435). The corresponding code can be found at https://github.com/maxfreu/Sen2-classification.
DOI: 10.25625/xozagy/xf5tu2
title: treespecies_ger_categorical_2018.tif
DOI: 10.25625/xozagy/zhxwai
title: treespecies_ger_categorical_2019.tif
DOI: 10.25625/xozagy/3kvuee
title: treespecies_ger_categorical_2020.tif
DOI: 10.25625/xozagy/ukk7we
title: treespecies_ger_categorical_2021.tif
DOI: 10.25625/xozagy/5clim7
title: treespecies_ger_categorical_2022.tif
DOI: 10.25625/xozagy/anym5m
title: treespecies_ger_categorical_2023.tif
DOI: 10.25625/xozagy/cheuua
title: treespecies_ger_categorical_2024.tif
DOI: 10.25625/xozagy
title: Tree Species Maps Germany - Categorical

description: Categorical Tree Species Maps for Germany from 2018 to 2024 Classes: 0: Background 1: Alder 2: Ash 3: Beech 4: Birch 5: Douglas Fir 6: Fir 7: Larch 8: Maple 9: Oak 10: Other broadleaf 11: Pine 12: Spruce
DOI: 10.15468/dl.79qc68
title: Occurrence Download

description: A dataset containing 277793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ulex europaeus"
 ]
}

 The dataset includes 277793 records from 1818 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007921-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jscuec
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Azerbaijan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cichorium L."
 ]
}

 The dataset includes 43 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007270-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/h6ak-0y83
title: ethylbenzene + OH - Gas-phase oxidation - product study - 2004-06-17

description: Publication of the dataset
DOI: 10.25326/2cnt-3893
title: formaldehyde + OH - Photolysis - 2003-06-06

description: Publication of the dataset
DOI: 10.25326/n3we-nc78
title: ethylbenzene + OH - Aerosol study - particle formation - 2004-06-23

description: Publication of the dataset
DOI: 10.25326/y9tm-6226
title: 3-methylfuran+methacrolein+methyl vinyl ketone + None - Other - 2004-03-24

description: Publication of the dataset
DOI: 10.15468/dl.y3zgh5
title: Occurrence Download

description: A dataset containing 85 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
 (occurrence.taxonkey = 2433401 OR occurrence.acceptedtaxonkey = 2433401 OR occurrence.kingdomkey = 2433401 OR occurrence.phylumkey = 2433401 OR occurrence.classkey = 2433401 OR occurrence.orderkey = 2433401 OR occurrence.familykey = 2433401 OR occurrence.genuskey = 2433401 OR occurrence.specieskey = 2433401)
 AND occurrence.hasgeospatialissues = FALSE
 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.occurrencestatus = 'PRESENT'
 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 85 records were derived from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009798-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/2y1r-2j49
title: ethylene glycol vinyl ether + OH - Gas-phase oxidation - kinetic study - 2004-05-07

description: Publication of the dataset
DOI: 10.25326/5kmf-gp35
title: p-xylene + OH - Gas-phase oxidation - product study - 2002-07-03

description: Publication of the dataset
DOI: 10.25326/afft-fq21
title: water+ice + None - Aerosol study - physical properties - 2004-10-25

description: Publication of the dataset
DOI: 10.25326/rh8w-jr46
title: toluene + OH - Gas-phase oxidation - product study - 2001-09-27

description: Publication of the dataset
DOI: 10.25326/j0y7-1j57
title: dust+water+ice + None - Aerosol study - physical properties - 2003-07-15

description: Publication of the dataset
DOI: 10.25326/6mvk-bj51
title: dust+water+ice + None - Aerosol study - physical properties - 2003-10-01

description: Publication of the dataset
DOI: 10.25326/vjbp-vd58
title: dust+water+ice + None - Aerosol study - physical properties - 2003-07-17

description: Publication of the dataset
DOI: 10.5281/zenodo.15488099
title: Mechanism of lateral cell-wall expansion at a constant diameter in Bacillus subtilis

description: Localization of newly synthesized peptidoglycan in Bacillus subtilis cells. Fields of B. subtilis strain 168 observed by fluorescence (AF532), phase contrast (PC) or bright field (BF) microscopy. Cells in exponential growth phase were grown for 15 min in the presence of ethinyl-D-Ala-D-Ala or in the absence of the probe, fixed, and incubated with azido-AF532 for fluorescent labeling by copper-catalyzed click chemistry.
DOI: 10.5281/zenodo.15488100
title: Mechanism of lateral cell-wall expansion at a constant diameter in Bacillus subtilis

description: Localization of newly synthesized peptidoglycan in Bacillus subtilis cells. Fields of B. subtilis strain 168 observed by fluorescence (AF532), phase contrast (PC) or bright field (BF) microscopy. Cells in exponential growth phase were grown for 15 min in the presence of ethinyl-D-Ala-D-Ala or in the absence of the probe, fixed, and incubated with azido-AF532 for fluorescent labeling by copper-catalyzed click chemistry.
DOI: 10.15468/dl.jwasae
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trithuria austinensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007246-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgeg43
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Xeropigo tridentiger"
 ]
}

 The dataset includes 38 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007243-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25405/data.ncl.26282110
title: Hydrodynamics at the interface between expanding and eroding mangrove forests in the Mekong delta, Vietnam

description: This dataset contains acceleration data measured from low-cost and open-source bottom-mounted floats called ‘Mini Buoys’, to identify hydrological tipping points between expanding and eroding mangrove edges in the Mekong delta, Vietnam.<b>Data collection method</b>: Data to assess the hydrological tipping point between expanding and eroding mangrove edges was gathered at Soc Trang (09°25′11″N, 106°10′48″E), Ca Mau (08°38′00″N, 104°42′43″E), and Kien Giang (09°50′01″N, 104°53′25″E) sites along the Mekong delta, Vietnam. B4+ Mini Buoys were deployed along seaward mangrove edges where there was a transition from expansion to erosion. Each logger sampled y-axis acceleration at 1 Hz. Coordinates showing the location of each Mini Buoy deployment are expressed in WGS84 standard. Unfortunately, some Mini Buoys were lost during deployment.Data collected between: 25/06/2022 and 31/08/2022No processing was done to acceleration data.Related blogs/publications: https://livingdeltas.org/blog/mini-buoys-in-the-indian-sundarban-a-story-of-challenges-collaboration-and-commitmenthttps://livingdeltas.org/publications/monitoring-tidal-hydrology-in-coastal-wetlands-with-the-mini-buoy-applications-for-mangrove-restorationhttps://livingdeltas.org/publications/the-mini-buoy-a-novel-hydrodynamics-sensor-for-long-term-deployments-in-coastal-wetlandshttps://livingdeltas.org/blog/inexpensive-amp-open-source-sensors-could-dramatically-improve-the-success-of-mangrove-plantation-schemeshttps://livingdeltas.org/resources/hydrodynamics-survey-along-embankments-of-kumirmari-island-gosaba-indian-sundarban