cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tehd77
title: Occurrence Download

description: A dataset containing 3693 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus ampelos Burm.fil."
 ]
}

 The dataset includes 3693 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006113-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5v9p4
title: Occurrence Download

description: A dataset containing 23591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aquila heliaca Savigny, 1809"
 ]
}

 The dataset includes 23591 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172647-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4aesgq
title: Occurrence Download

description: A dataset containing 39858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((19.90272 39.0044,27.00431 40.70423,34.56126 56.37479,20.20835 56.33708,22.29056 51.1952,14.40172 46.2991,17.80957 42.24684,19.90272 39.0044))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acer L."
 ]
}

 The dataset includes 39858 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025920-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epqmnc
title: Occurrence Download

description: A dataset containing 17628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida",
 "Year 1903-1920"
 ]
}

 The dataset includes 17628 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025921-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27977448
title: Data of El Niño characterized a dipolar pattern of Holocene extreme climate events （YZ22A）

description: Data of El Niño characterized a dipolar pattern of Holocene extreme climate events in southwestern and northeastern China.
DOI: 10.6084/m9.figshare.27977448.v1
title: Data of El Niño characterized a dipolar pattern of Holocene extreme climate events （YZ22A）

description: Data of El Niño characterized a dipolar pattern of Holocene extreme climate events in southwestern and northeastern China.
DOI: 10.6084/m9.figshare.27977448.v2
title: Data of El Niño characterized a dipolar pattern of Holocene extreme climate events （YZ22A）

description: Data of El Niño characterized a dipolar pattern of Holocene extreme climate events in southwestern and northeastern China.
DOI: 10.15468/dl.w5zwyf
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((1.8708 42.47029,1.85037 42.48285,1.7976 42.49791,1.73803 42.50356,1.70398 42.5092,1.68866 42.50544,1.66823 42.51422,1.63988 42.48177,1.6014 42.47563,1.55438 42.46857,1.52177 42.44632,1.48019 42.41795,1.49019 42.37652,1.52377 42.37231,1.54398 42.3782,1.64458 42.34467,1.73685 42.34467,1.79171 42.35941,1.84907 42.41099,1.86154 42.45332,1.8708 42.47029))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Thymus serpyllum L."
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025922-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/kspe-v8dd
title: Measurement of Meteorology at Bukit Kototabang

description: Measurement of Meteorology at Bukit Kototabang
DOI: 10.48597/zpmn-t9e7
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/nw7u-nwuv
title: Measurement of Meteorology at Mt. Kenya

description: Measurement of Meteorology at Mt. Kenya
DOI: 10.48597/74ka-v674
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/jgea-u6hr
title: Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/tach-uvna
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/v64p-vfya
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/znr9-sx8v
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/3ztw-ueeq
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/4nxz-rpt6
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/7aex-7mec
title: Measurement of Meteorology at Mt. Kenya

description: Measurement of Meteorology at Mt. Kenya
DOI: 10.48597/b2xr-k5w3
title: Meteorology at Mt. Kenya

description: Measurement of Meteorology at Mt. Kenya
DOI: 10.48597/dy93-kscm
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/eu32-6heu
title: Measurement of Meteorology at Mt. Kenya

description: Measurement of Meteorology at Mt. Kenya
DOI: 10.48597/mrsm-26wg
title: Measurement of Meteorology at Mt. Kenya

description: Measurement of Meteorology at Mt. Kenya
DOI: 10.48597/pm5x-q56b
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/pras-7ta2
title: Measurement of Meteorology at Mt. Kenya

description: Measurement of Meteorology at Mt. Kenya
DOI: 10.48597/qnwq-pf5f
title: Measurement of Meteorology at Mt. Kenya

description: Measurement of Meteorology at Mt. Kenya
DOI: 10.48597/qvxy-3uu7
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/s5ve-rzd2
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/sruq-yjfn
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/ufhm-vts8
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/vq6g-xzkr
title: Measurement of Ozone at Bukit Kototabang

description: Measurement of Ozone at Bukit Kototabang
DOI: 10.48597/ys5f-h76n
title: Measurement of Meteorology at Mt. Kenya

description: Measurement of Meteorology at Mt. Kenya
DOI: 10.48597/et6v-ftnr
title: Measurement of Meteorology at Bukit Kototabang

description: Measurement of Meteorology at Bukit Kototabang
DOI: 10.48597/hn84-t5wp
title: Measurement of Meteorology at Bukit Kototabang

description: Measurement of Meteorology at Bukit Kototabang
DOI: 10.48597/m8y9-wzg2
title: Measurement of Meteorology at Bukit Kototabang

description: Measurement of Meteorology at Bukit Kototabang
DOI: 10.48597/rd9w-3z7r
title: Meteorology at Bukit Kototabang

description: Measurement of Meteorology at Bukit Kototabang
DOI: 10.48597/x5we-4ssa
title: Measurement of Meteorology at Bukit Kototabang

description: Measurement of Meteorology at Bukit Kototabang
DOI: 10.15468/dl.xjar73
title: Occurrence Download

description: A dataset containing 6692 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Jellyfish Sightings Along the Italian Coastline from 2009 to 2017"
 ]
}

 The dataset includes 6692 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025924-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2xqvj
title: Occurrence Download

description: A dataset containing 15204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ips typographus (C.Linnaeus, 1758)"
 ]
}

 The dataset includes 15204 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025928-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yh4hng
title: Occurrence Download

description: A dataset containing 71672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tarentola mauritanica (Linnaeus, 1758)",
 "Year 1999-2024"
 ]
}

 The dataset includes 71672 records from 584 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025927-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtw5pf
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aconitum lethale Griff."
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025929-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.un3cad
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhynchostruthus louisae Lort Phillips, 1897"
 ]
}

 The dataset includes 35 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025931-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14284868
title: Supporting data for "Financial system interactions with ecosystem tipping points: evidence from the Brazilian Amazon and Indonesian peatlands"

description: This dataset includes the supporting data for the paper: Marsden et al. "Financial system interactions with ecosystem tipping points", available at [published reference will appear here when available]. This study used a novel combination of location-specific supply chain data and a newly constructed dataset of financial flows covering lending and capital markets activities (equity and debt issuances) over a decade. 

The dataset is structured around the following: 



Raw data from Trase Supply Chains (Trase, 2022; Benedict et al., 2023; Gaveau et al., 2022; Lathuillière et al., 2022; zu Ermgassen et al., 2023).

Processed data identifying "ETP risk companies".

Transaction and balance sheet data sourced from LSEG (previously Refinitiv Eikon) - these data were acquired under licence and so are not publicly available. Code is available at the repository below to replicate our analysis, for those with a licence to this data. 


The data is structured to be used in conjunction with the workflow available at https://github.com/lyd-m/tipping-points-empirical-paper

Full directory structure is available in the _README file in the dataset.
DOI: 10.5281/zenodo.14284869
title: Supporting data for "Financial system interactions with ecosystem tipping points: evidence from the Brazilian Amazon and Indonesian peatlands"

description: This dataset includes the supporting data for the paper: Marsden et al. "Financial system interactions with ecosystem tipping points", available at [published reference will appear here when available]. This study used a novel combination of location-specific supply chain data and a newly constructed dataset of financial flows covering lending and capital markets activities (equity and debt issuances) over a decade. 

The dataset is structured around the following: 



Raw data from Trase Supply Chains (Trase, 2022; Benedict et al., 2023; Gaveau et al., 2022; Lathuillière et al., 2022; zu Ermgassen et al., 2023).

Processed data identifying "ETP risk companies".

Transaction and balance sheet data sourced from LSEG (previously Refinitiv Eikon) - these data were acquired under licence and so are not publicly available. Code is available at the repository below to replicate our analysis, for those with a licence to this data. 


The data is structured to be used in conjunction with the workflow available at https://github.com/lyd-m/tipping-points-empirical-paper

Full directory structure is available in the _README file in the dataset.
DOI: 10.5281/zenodo.14187276
title: Annex F – Chronic dietary exposure assessment for AsB and AsSugOH

description: Annex F – Chronic dietary exposure assessment for AsB and AsSugOH  
description: EU; en; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.14187277
title: Annex F – Chronic dietary exposure assessment for AsB and AsSugOH

description: Annex F – Chronic dietary exposure assessment for AsB and AsSugOH  
description: EU; en; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.14187258
title: Annex E – Occurrence data set for AsB

description: Annex E – Occurrence data set for AsB
description: EU; en; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.14187259
title: Annex E – Occurrence data set for AsB

description: Annex E – Occurrence data set for AsB
description: EU; en; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.14187243
title: Annex D – Raw occurrence data for AsB

description: Annex D – Raw occurrence data for AsB
description: EU; en; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.14187244
title: Annex D – Raw occurrence data for AsB

description: Annex D – Raw occurrence data for AsB
description: EU; en; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.14186921
title: Annex C – Dietary surveys used for chronic exposure assessment AsB and ASugOH

description: Annex C – Dietary surveys used for chronic exposure assessment AsB and ASugOH.
description: EU; en; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.14186922
title: Annex C – Dietary surveys used for chronic exposure assessment AsB and ASugOH

description: Annex C – Dietary surveys used for chronic exposure assessment AsB and ASugOH.
description: EU; en; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5284/1124584
title: Images from a Historic Building Recording Survey at The Old Forge, Monkokehampton, West Devon, Devon, June 2020

description: This archive consists of images from a historic building recording survey by South West Archaeology Ltd, of The Old Forge, Monkokehampton, West Devon, in June 2020.The Old Forge is a traditional cob-built Devon building that is of considerable architectural and historical interest. The surviving phases of lateral stack and the forge structures represent a complex and layered domestic and working narrative, however the building has been compromised by repairs during the later 20th century following a devastating fire which resulted in the loss of most of the western elevation and the roof. A lack of maintenance and poor-quality modern repairs have since led to a significant risk to the historic integrity and the structural cohesion of the building. The conversion of the building will ultimately ensure its long-term survival.
DOI: 10.5281/zenodo.14328633
title: Replication Data for: ``Global Estimation of Subsurface Eddy Kinetic Energy of Mesoscale Eddies Using a Multiple-input Residual Neural Network''

description: This dataset contains the Python scripts for training the fully connected neural network model (FCNN), surface-input Residual neural network model (ResNet), multiple-input fully connected neural network model (MI-FCNN), and multiple-input residual neural network model (MI-ResNet), as well as the Matlab files for post-processing reanalysis and observational datasets.
DOI: 10.15468/dl.ut3r6r
title: Occurrence Download

description: A dataset containing 118479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalacrocorax carbo (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 118479 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025919-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud2wwp
title: Occurrence Download

description: A dataset containing 15204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ips typographus (C.Linnaeus, 1758)"
 ]
}

 The dataset includes 15204 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025934-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14328984
title: Mechanical properties for PE/EVOH MNL films

description: Mechanical tensile properties for PE/EVOH films made with Multinanolayer (MNL) process

Composition and process parameter in sheet 1, data in sheet 2.
DOI: 10.5281/zenodo.14328985
title: Mechanical properties for PE/EVOH MNL films

description: Mechanical tensile properties for PE/EVOH films made with Multinanolayer (MNL) process

Composition and process parameter in sheet 1, data in sheet 2.
DOI: 10.5281/zenodo.13641415
title: PALOMERA ERA Wide Survey Dataset

description: This dataset was created as part of the PALOMERA survey on open access policies for books in the European research area (focusing on the needs, obstacles and challenges of policy-making for open access books). 

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Agency. Neither the European Union nor the granting authority can be held responsible for them.
DOI: 10.15468/dl.e4gy6y
title: Occurrence Download

description: A dataset listing the 19 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Jellyfish Sightings Along the Italian Coastline from 2009 to 2017"
 ]
}

 The dataset's 19 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025925-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgr4c5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelecanus carbo Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025935-241126133413365/datasets/export for details.
DOI: 10.15468/dl.cjq6v8
title: Occurrence Download

description: A dataset containing 16128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is one of (Anthriscus cerefolium (L.) Hoffm., Anthriscus sylvestris (L.) Hoffm., Anthriscus Hoffm., 1814, Coriandrum sativum L., Coriandrum L., Aethusa cynapium L.)"
 ]
}

 The dataset includes 16128 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025936-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5h6mhm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((36.90833 2.761278, 36.90763 2.760833, 36.90833 2.760833, 36.90833 2.761278))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025937-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.27991547
title: Datasets S1-S7 for "The interaction law of odor intensity, pleasantness, and quality of binary mixtures in the process of olfactory perception".

description: The study of the olfactory perception relationship among odor intensity, pleasantness, and quality (IPQ) of binary mixtures, is always a hot topic among flavor chemists, perfumers, psychophysicists, et al. On the base of extensive sensory evaluation data, the relationships among IPQ within binary mixtures were investigated. First, models about odor intensity and pleasantness were analyzed. The goodness of fit (R<sup>2</sup>), root mean square error (RMSE), generalization ability (represented by the index of agreement, IA), and predictive ability (represented by Theil U statistic 1, U1) were calculated, with R<sup>2</sup> = 0.7229 ~ 0.7899, RMSE = 0.5116 ~ 0.5700, IA = 0.8354 ~ 0.8829 and U1 = 0.0026 ~ 0.0028. Although heterogeneous perception models were established to correct the errors of existing models, the error had not been corrected in the pleasantness partially additive situation. Then, to address this issue, the relationship between odor pleasantness and quality was studied. A regression model by correlating odor quality descriptors with the pleasantness of binary mixtures was established by using an orthogonal partial least squares analysis. This model facilitated the identification of a correction factor for variations in the pleasantness of binary mixtures. Using this correction factor, a binary mixture's pleasantness change caused by the change in the quality of the binary mixture can be predicted. Finally, the universal olfactory perception law of aroma intensity, pleasantness, and quality of binary mixtures were obtained, with R<sup>2</sup> = 0.7904 ~ 0.8179, RMSE = 0.4040 ~ 0.4158, IA = 0.9375 ~ 0.9399 and U1 = 0.002.