cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14006537
title: SERENA EJPSOIL PT SOCLOSS SOC 0-20 cm
title: SERENA EJPSOIL PT SOCLOSS SOC 0-20 cm

description: The internal EJP SOIL project SERENA contributed to evaluating soil multifunctionality, aiming to provide assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

The dataset corresponds to a map of Soil Organic Carbon (SOC) concentration (g kg-1) in Portugal. The map of soil organic carbon, as an indicator of SOC loss threat, was based on ordinary kriging and has a spatial resolution of 50 m. Soil organic carbon (0-0.20 m) data from LUCAS 2018 TOPSOIL data - ESDAC - European Commission database, which is freely available (https://esdac.jrc.ec.europa.eu/content/lucas-2018-topsoil-data).
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:

- It is the result of a modelling exercise and does not necessarily reflect reality.

- Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and the level of accuracy of the techniques chosen and their prior knowledge.

- It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.

- These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.

- Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meets their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.15468/dl.cg5b3h
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Acronema rivale C.Norman)",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010569-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57996/cran.ceres-2664
title: Data in support of: PTFE layer formation during brush electroplating of nickel

description: Raw data for the paper "PTFE layer formation during brush electroplating of nickel" published in Scientific Reports. Comprised of XRD patterns, roughness measurements, contact angles, coefficient of friction.
DOI: 10.6084/m9.figshare.27043154
title: Modeling Changes of Fatal Xylazine-Involved Drug Overdoses in Connecticut Across Time

description: Fatal drug overdoses have involved both xylazine and fentanyl. Xylazine is a non-opioid substance used in veterinary medicine. This study aimed to model changes in fatal xylazine-involved drug overdose deaths from 2019 to 2023 in Connecticut using overdose death data from the Office of the Chief Medical Examiner. Xylazine-involved drug overdose fatality rates were calculated by number of deaths per year per 100,000 population from 2019 to 2023. We used joinpoint regression modeling to evaluate quarterly overdose rates across age, number of drugs, and drug types with a significance level of <i>p</i> &lt; 0.05. From 2019 to 2023, there were 1116 xylazine-involved fatal overdoses with a cumulative rate of 31.3 deaths per 100,000. Xylazine-involved overdose death rates were significantly higher in Hispanic populations compared to both non-Hispanic White and Black populations (<i>p</i> &lt; 0.05). The joinpoint analyses showed that xylazine-fentanyl mortality rates significantly increased by 0.18 per 100,000 per quarter from 2019 to 2022. Xylazine-fentanyl overdoses involving at least 4 or 5 substances significantly increased. Windham, Hartford, New London, and New Haven counties had the highest xylazine-involved death rates. Xylazine-fentanyl deaths increased from 2019 to 2023, and often involved multiple substances (e.g., cocaine, ethanol, benzodiazepines, and oxycodone). Results show Hispanic populations, those aged 35–49, and 50+ experienced high rates of xylazine-fentanyl overdose deaths. Vulnerable populations in Connecticut for special consideration for future intervention and local resource allocation are recommended.
DOI: 10.6084/m9.figshare.27043154.v1
title: Modeling Changes of Fatal Xylazine-Involved Drug Overdoses in Connecticut Across Time

description: Fatal drug overdoses have involved both xylazine and fentanyl. Xylazine is a non-opioid substance used in veterinary medicine. This study aimed to model changes in fatal xylazine-involved drug overdose deaths from 2019 to 2023 in Connecticut using overdose death data from the Office of the Chief Medical Examiner. Xylazine-involved drug overdose fatality rates were calculated by number of deaths per year per 100,000 population from 2019 to 2023. We used joinpoint regression modeling to evaluate quarterly overdose rates across age, number of drugs, and drug types with a significance level of <i>p</i> &lt; 0.05. From 2019 to 2023, there were 1116 xylazine-involved fatal overdoses with a cumulative rate of 31.3 deaths per 100,000. Xylazine-involved overdose death rates were significantly higher in Hispanic populations compared to both non-Hispanic White and Black populations (<i>p</i> &lt; 0.05). The joinpoint analyses showed that xylazine-fentanyl mortality rates significantly increased by 0.18 per 100,000 per quarter from 2019 to 2022. Xylazine-fentanyl overdoses involving at least 4 or 5 substances significantly increased. Windham, Hartford, New London, and New Haven counties had the highest xylazine-involved death rates. Xylazine-fentanyl deaths increased from 2019 to 2023, and often involved multiple substances (e.g., cocaine, ethanol, benzodiazepines, and oxycodone). Results show Hispanic populations, those aged 35–49, and 50+ experienced high rates of xylazine-fentanyl overdose deaths. Vulnerable populations in Connecticut for special consideration for future intervention and local resource allocation are recommended.
DOI: 10.15468/dl.n8ukx6
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((91.48429 -8.80833,109.87092 -8.80833,109.87092 9.64221,91.48429 9.64221,91.48429 -8.80833))",
 "HasGeospatialIssue is false",
 "TaxonKey is Amorphophallus titanum (Becc.) Becc."
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010570-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/d1f146fc21a24176
title: Custom collection of categorize data from Norunda between 11 Mar 2019 and 6 Jan 2025
DOI: 10.15468/dl.e2fu8u
title: Occurrence Download

description: A dataset containing 2418291 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 2418291 records from 1369 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000019-250127115337998/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.28286555
title: FEMPOWER dataset

description: FEMPOWER—Fragmentation of Women’s Organizations and Women’s Empowerment, 1980-2024—is a publicly available dataset under the license CC0 1.0 Universal (CC0 1.0 Public Domain Dedication). It offers information on the names, acronyms, founding and dissolution years, member countries, headquarters location, goals, ideological fragmentation, size, and international reach of women's organizations, along with their strategy and engagement. The data spans from 1980 to 2024 and is available in .csv format. The dataset disaggregates the women’s international organizations by countries and years, thus showing the local-global linkages over time.
DOI: 10.60656/278e3ac8f6104bab
title: Custom collection of categorize data from Ny-Ålesund between 1 Oct 2018 and 6 Jan 2025
DOI: 10.6084/m9.figshare.28286555.v2
title: FEMPOWER dataset

description: FEMPOWER—Fragmentation of Women’s Organizations and Women’s Empowerment, 1980-2024—is a publicly available dataset under the license CC0 1.0 Universal (CC0 1.0 Public Domain Dedication). It offers information on the names, acronyms, founding and dissolution years, member countries, headquarters location, goals, ideological fragmentation, size, and international reach of women's organizations, along with their strategy and engagement. The data spans from 1980 to 2024 and is available in .csv format. The dataset disaggregates the women’s international organizations by countries and years, thus showing the local-global linkages over time.
DOI: 10.6084/m9.figshare.28286555.v1
title: FEMPOWER dataset

description: FEMPOWER—Fragmentation of Women’s Organizations and Women’s Empowerment, 1980-2024—is a publicly available dataset under the license CC0 1.0 Universal (CC0 1.0 Public Domain Dedication). It offers information on the names, acronyms, founding and dissolution years, member countries, headquarters location, goals, ideological fragmentation, size, and international reach of women's organizations, along with their strategy and engagement. The data spans from 1980 to 2024 and is available in .csv format. The dataset disaggregates the women’s international organizations by countries and years, thus showing the local-global linkages over time.
DOI: 10.34908/gny3-j677
title: Digital Reunification of the Society of Antiquaries of Scotland’s Historic Library and Archives

description: This dataset contains a transcription of the 1949 and 1955 disposal lists from the National Museum of Antiquities of Scotland (NMAS) Library, recording the various National and specialist institutions, and Scottish and UK universities, to which they were allocated as a gift. It also includes, as far as has been possible from the various surviving listings, a list of items that were transferred on deposit in 1934/5 to the National Library of Scotland and to Register House (now the National Records of Scotland).
DOI: 10.60656/571f3b05fc7f4486
title: Custom collection of categorize data from Palaiseau between 1 Oct 2018 and 6 Jan 2025
DOI: 10.60656/8fadbb9f0ce24020
title: Custom collection of categorize data from Payerne between 22 Oct 2024 and 6 Jan 2025
DOI: 10.15468/dl.vrtwg4
title: Occurrence Download

description: A dataset listing the 2714 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 2714 records were derived from 10974 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000036-250127115337998/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/6qsbxo/arctr0
title: R200_cry.top
DOI: 10.21989/d9/6qsbxo/wctbzh
title: quench.gro
DOI: 10.21989/d9/6qsbxo/cthb4t
title: npt.mdp
DOI: 10.21989/d9/6qsbxo/r9tx9g
title: L200.top
DOI: 10.21989/d9/6qsbxo/1elxz0
title: cry.itp
DOI: 10.21989/d9/6qsbxo/fiw8nu
title: npt3.gro
DOI: 10.21989/d9/6qsbxo/xgg3mx
title: L200.top
DOI: 10.21989/d9/6qsbxo/sv2xci
title: L200.top
DOI: 10.21989/d9/6qsbxo/6eqqhs
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/j70qqm
title: quench.gro
DOI: 10.21989/d9/6qsbxo/59fgb2
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/mdrcpn
title: R2000_cry.top
DOI: 10.21989/d9/6qsbxo/b6htih
title: npt3.gro
DOI: 10.21989/d9/6qsbxo/l0gah8
title: quench.gro
DOI: 10.21989/d9/6qsbxo/ljfvgb
title: run13.gro
DOI: 10.21989/d9/6qsbxo/igjnfz
title: R200.top
DOI: 10.21989/d9/6qsbxo/v2ywvd
title: run1.gro
DOI: 10.21989/d9/6qsbxo/timowh
title: R400.itp
DOI: 10.21989/d9/6qsbxo/v6oklv
title: cry.itp
DOI: 10.21989/d9/6qsbxo/qogkbc
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/e6xudd
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/w381mk
title: readme.txt
DOI: 10.21989/d9/6qsbxo/ic8k08
title: run10.gro
DOI: 10.21989/d9/6qsbxo/8qxtsh
title: R200.top
DOI: 10.21989/d9/6qsbxo/uzpeex
title: quench.gro
DOI: 10.21989/d9/6qsbxo/a4477c
title: R400_cry.top
DOI: 10.21989/d9/6qsbxo/m3dsxh
title: R800_cry.top
DOI: 10.21989/d9/6qsbxo/8yrras
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/odjj46
title: cry.itp
DOI: 10.15468/dl.px5qtf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthidium hungaricum Grunow, 1863",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060202-250525065834625/datasets/export for details.
DOI: 10.21989/d9/6qsbxo/pjdnq2
title: run3.gro
DOI: 10.21989/d9/6qsbxo/ccg2pd
title: cry.itp
DOI: 10.21989/d9/6qsbxo/irl30v
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/ebanpt
title: quench.gro
DOI: 10.21989/d9/6qsbxo/xsquyz
title: cry.itp
DOI: 10.21989/d9/6qsbxo/khx4tl
title: npt.mdp
DOI: 10.21989/d9/6qsbxo/0f7fnx
title: L200.itp
DOI: 10.21989/d9/6qsbxo/29vdhr
title: collapsed2.gro
DOI: 10.21989/d9/6qsbxo/d7uozd
title: cry.itp
DOI: 10.21989/d9/6qsbxo/flfa6b
title: quench.gro
DOI: 10.21989/d9/6qsbxo/frta0k
title: R200_cry.top
DOI: 10.21989/d9/6qsbxo/a1kmzx
title: run10.gro
DOI: 10.21989/d9/6qsbxo/jadhhn
title: R400_cry.top
DOI: 10.21989/d9/6qsbxo/w6z1m9
title: run9.gro
DOI: 10.21989/d9/6qsbxo/vth4as
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/2daw5v
title: L200_cry.top
DOI: 10.21989/d9/6qsbxo/re1ns3
title: quench.gro
DOI: 10.21989/d9/6qsbxo/tipd4s
title: npt.mdp
DOI: 10.21989/d9/6qsbxo/2cxzjb
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/wlbeld
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/0f6uii
title: L200.itp
DOI: 10.21989/d9/6qsbxo/qvfv1b
title: R200.top
DOI: 10.21989/d9/6qsbxo/dpfdi7
title: cry.itp
DOI: 10.21989/d9/6qsbxo/6biihw
title: run7.gro
DOI: 10.21989/d9/6qsbxo/bdw9sf
title: L200.top
DOI: 10.21989/d9/6qsbxo/rde7qc
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/mh2b05
title: run7.gro
DOI: 10.21989/d9/6qsbxo/aur0zj
title: L200_cry.top
DOI: 10.21989/d9/6qsbxo/9evvj7
title: run5.gro
DOI: 10.21989/d9/6qsbxo/ibhfix
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/wlk7uq
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/rml2ee
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/zjcrje
title: quench.gro
DOI: 10.21989/d9/6qsbxo/zwhgxe
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/godyyu
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/kmszgk
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/sfpyua
title: npt.mdp
DOI: 10.21989/d9/6qsbxo/oqd6qt
title: quench.gro
DOI: 10.15468/dl.mgsn4p
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Camaroptera toroensis (Jackson, 1905)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 69 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060203-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/6qsbxo/cz9vgf
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/lsopby
title: run5.gro
DOI: 10.21989/d9/6qsbxo/zgeizb
title: npt.mdp
DOI: 10.21989/d9/6qsbxo/a0yfzs
title: L200.top
DOI: 10.21989/d9/6qsbxo/14edxx
title: R2000.itp
DOI: 10.21989/d9/6qsbxo/4xxn0j
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/jjbxhj
title: quench.gro
DOI: 10.21989/d9/6qsbxo/wr2upm
title: run12.gro
DOI: 10.21989/d9/6qsbxo/c2aafv
title: cry.itp
DOI: 10.21989/d9/6qsbxo/36zy0m
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/knoxuv
title: quench.gro
DOI: 10.21989/d9/6qsbxo/eechf8
title: alkanes.rtp
DOI: 10.21989/d9/6qsbxo/wuruib
title: L200.top
DOI: 10.21989/d9/6qsbxo/tlgvwx
title: cry.itp
DOI: 10.21989/d9/6qsbxo/b0nl2t
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/gxdwiy
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/rbmvvc
title: quench.gro
DOI: 10.21989/d9/6qsbxo/h0m3ty
title: R600.itp
DOI: 10.21989/d9/6qsbxo/qi2jcz
title: npt.mdp
DOI: 10.21989/d9/6qsbxo/1wrwez
title: cry.itp
DOI: 10.21989/d9/6qsbxo/shnvmj
title: L200.itp
DOI: 10.21989/d9/6qsbxo/cifqe8
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/mhmh0h
title: cry.itp
DOI: 10.21989/d9/6qsbxo/mgfs98
title: R200.itp
DOI: 10.21989/d9/6qsbxo/wshskv
title: quench.gro
DOI: 10.21989/d9/6qsbxo/b10gzi
title: R600.itp
DOI: 10.21989/d9/6qsbxo/wzs0bu
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/2xjecm
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/vsh3bq
title: alcohols.rtp
DOI: 10.21989/d9/6qsbxo/jefqhe
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/r6xaej
title: L200.top
DOI: 10.21989/d9/6qsbxo/hpyaz7
title: quench.gro
DOI: 10.21989/d9/6qsbxo/yj3k8g
title: R200.top
DOI: 10.21989/d9/6qsbxo/zsyg7e
title: L200.top
DOI: 10.21989/d9/6qsbxo/svfzyx
title: cry.itp
DOI: 10.21989/d9/6qsbxo/n9pvbb
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/d9fmqo
title: R2000.itp
DOI: 10.21989/d9/6qsbxo/hc3vtt
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/3jimbk
title: run1.gro
DOI: 10.21989/d9/6qsbxo/qgjo5d
title: L200.top
DOI: 10.21989/d9/6qsbxo/xqa1m9
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/akqpnj
title: quench.gro
DOI: 10.21989/d9/6qsbxo/5u9yst
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/wljanb
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/bf5sk5
title: quench.gro
DOI: 10.21989/d9/6qsbxo/kdjojh
title: run5.gro
DOI: 10.21989/d9/6qsbxo/pbujx9
title: R200_cry.top
DOI: 10.21989/d9/6qsbxo/1sksnu
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/g6buep
title: L200.top
DOI: 10.21989/d9/6qsbxo/sefz62
title: L200.itp
DOI: 10.21989/d9/6qsbxo/oc7pe8
title: R800_cry.top
DOI: 10.21989/d9/6qsbxo/erjaqu
title: R800.itp
DOI: 10.21989/d9/6qsbxo/byosyn
title: npt3.gro
DOI: 10.21989/d9/6qsbxo/q41pti
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/tlv9vz
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/uhisfi
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/akzkvy
title: L200_cry.top
DOI: 10.21989/d9/6qsbxo/bpo11t
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/qdcadj
title: R200_cry.top
DOI: 10.21989/d9/6qsbxo/gzlvnu
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/ldcnay
title: R800.itp
DOI: 10.21989/d9/6qsbxo/puxxbn
title: cry.itp
DOI: 10.21989/d9/6qsbxo/tmnlqd
title: npt.mdp
DOI: 10.21989/d9/6qsbxo/fhcbf0
title: R400.itp
DOI: 10.21989/d9/6qsbxo/kuk94p
title: R400_cry.top
DOI: 10.21989/d9/6qsbxo/kyevc9
title: L200.top
DOI: 10.21989/d9/6qsbxo/kedncs
title: quench.gro
DOI: 10.21989/d9/6qsbxo/axb3of
title: run2.gro
DOI: 10.21989/d9/6qsbxo/vheshe
title: R200.top
DOI: 10.21989/d9/6qsbxo/jyknpu
title: R2000.itp
DOI: 10.21989/d9/6qsbxo/soytbw
title: collapsed2.gro
DOI: 10.21989/d9/6qsbxo/ye8sbg
title: run5.gro
DOI: 10.21989/d9/6qsbxo/ndubbg
title: R2000_cry.top
DOI: 10.21989/d9/6qsbxo/zxxcfg
title: collapsed2.gro
DOI: 10.21989/d9/6qsbxo/mwp7do
title: L200_cry.top
DOI: 10.21989/d9/6qsbxo/b747po
title: quench.gro
DOI: 10.21989/d9/6qsbxo/sagcxx
title: run5.gro
DOI: 10.21989/d9/6qsbxo/atrgil
title: collapsed2.gro
DOI: 10.21989/d9/6qsbxo/wm2vnl
title: R200.top
DOI: 10.21989/d9/6qsbxo/n5vzty
title: R400.itp
DOI: 10.21989/d9/6qsbxo/qymjaq
title: npt.mdp
DOI: 10.21989/d9/6qsbxo/4h42gi
title: cry.itp
DOI: 10.21989/d9/6qsbxo/kzccxl
title: R600.itp
DOI: 10.21989/d9/6qsbxo/an5isv
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/bcc7w2
title: R2000_cry.top
DOI: 10.15468/dl.gbzvun
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luticola D.G.Mann, 1990",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060205-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/6qsbxo/gkitmq
title: run8.gro
DOI: 10.21989/d9/6qsbxo/ufiifb
title: R200.top
DOI: 10.21989/d9/6qsbxo/phgtjc
title: run15.gro
DOI: 10.21989/d9/6qsbxo/thgr9m
title: npt.mdp
DOI: 10.21989/d9/6qsbxo/msrjbq
title: run13.gro
DOI: 10.21989/d9/6qsbxo/awyvkd
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/wu6lk6
title: cry.itp
DOI: 10.21989/d9/6qsbxo/vlqcmk
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/e3mffv
title: quench.gro
DOI: 10.21989/d9/6qsbxo/syx4qv
title: R400_cry.top
DOI: 10.21989/d9/6qsbxo/zk0lsz
title: R400.itp
DOI: 10.21989/d9/6qsbxo/jdu1ld
title: npt.mdp
DOI: 10.21989/d9/6qsbxo/kjxx9s
title: L200.top
DOI: 10.21989/d9/6qsbxo/odrmeu
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/ukccpj
title: L200.top
DOI: 10.21989/d9/6qsbxo/yeiszy
title: run14.gro
DOI: 10.21989/d9/6qsbxo/43mq5g
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/jqmj5e
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/ytezit
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/iofxza
title: npt.mdp
DOI: 10.21989/d9/6qsbxo/toeya4
title: quench.gro
DOI: 10.21989/d9/6qsbxo/6jgx40
title: L200.top
DOI: 10.21989/d9/6qsbxo/dot4ve
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/vgtjgu
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/9ccoha
title: quench.mdp
DOI: 10.15468/dl.77r7qp
title: Occurrence Download

description: A dataset containing 36293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ramphastos dicolorus Linnaeus, 1766"
 ]
}

 The dataset includes 36293 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060206-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/6qsbxo/78yfqi
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/gtlz3h
title: L200.top
DOI: 10.21989/d9/6qsbxo/ijs2w0
title: L200_cry.top
DOI: 10.21989/d9/6qsbxo/t6piw0
title: run6.gro
DOI: 10.21989/d9/6qsbxo/jlxlsx
title: R200.top
DOI: 10.21989/d9/6qsbxo/gmdouc
title: R600.itp
DOI: 10.21989/d9/6qsbxo/hv6nh1
title: R600.itp
DOI: 10.21989/d9/6qsbxo/nqpryb
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/tgd8pm
title: cry.itp
DOI: 10.21989/d9/6qsbxo/dgm4r4
title: run10.gro
DOI: 10.21989/d9/6qsbxo/7a47pl
title: L200.top
DOI: 10.21989/d9/6qsbxo/oihdlk
title: R600_cry.top
DOI: 10.21989/d9/6qsbxo/3hmaag
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/axmkj4
title: L200.top
DOI: 10.21989/d9/6qsbxo/cweshv
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/zi8cpy
title: npt550K.gro
DOI: 10.21989/d9/6qsbxo/mmcxwr
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/xmzety
title: quench.mdp
DOI: 10.21989/d9/6qsbxo/vkmr9x
title: run13.gro
DOI: 10.21989/d9/6qsbxo/9as6ih
title: collapsed2.gro
DOI: 10.21989/d9/6qsbxo/19wyph
title: R800.itp