cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7pna6n
title: Occurrence Download

description: A dataset containing 1726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens parviflora DC.",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1726 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0109565-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/9qeowz/grqt3x
title: 2012_GlacioBasis_Stake_13.csv

description: :unav
DOI: 10.3535/rft-k55-nfa
title: Malva sylvestris L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5281/zenodo.11237815
title: DACHS/MOFs/AutoMOFs_3/Synthesis

description: DACHS:

The DACHS (Database for Automation, Characterization and Holistic Synthesis) project aims to create completely traceable experimental data, covering syntheses, measurements, analyses, and interpretations.  DACHS_MOFs focuses on the synthesis and characterisation of metal-organic frameworks, across multiple, automation-assisted experimental series (AutoMOFs), with the overall goal of producing reproducible MOF samples through tracking of the synthesis parameters. 

DACHS_MOFs is simultaneously used to test the DACHS principles. 

This upload contain synthesis data from AutoMOFs_3 in HDF5 format (.h5). Each .h5 file contains detailed information on the chemical, experimenal, and synthesis parameters used during the synthesis of a single AutoMOF sample.

AutoMOFs_3

What: 13 samples (M001 - M013)

Why: Initial systems testing, Consistency/repeatability, Time, Stirring speed, Stirring bar, Reagent Age, Open/closed

When:  14/07/2022

Sample Naming

Sample denoted as "M" are synthesised by injecting the metal solution (Solution0) first (e.g. "metal first")

How to view the files:

To open files, any HDF5 compatable viewer should work (e.g. DAWN, HDF view, H5Web etc).  It is also possible to view files in Python using the h5py library. Jupyter notebooks will also be made available to explore the files.

File structure:

Detailed synthesis descriptions can be found for each sample within each file, and are stored in /DACHS/Synthesis/Description

Experimetal set-up are stored in /DACHS/Synthesis/Description

Chemicals, including starting compounds, mixtures, and (potential-, target- and final) products are given in the /DACHS/Chemicals

Parameters that might be of interest to the synthesis are stored in /DACHS/Synthesis/DerivedParameters

Additional notes on samples/oddities arrising from their synthesis are stored in /DACHS/Synthesis/DerivedParameters/Note

File storage:

To maintain compatability with scripts uploadedd to the DACHS community, data from this upload should be stored locally in the following file path: 

DACHS/MOFs/AutoMOFs_3/Synthesis
DOI: 10.5281/zenodo.11237816
title: DACHS/MOFs/AutoMOFs_3/Synthesis

description: DACHS:

The DACHS (Database for Automation, Characterization and Holistic Synthesis) project aims to create completely traceable experimental data, covering syntheses, measurements, analyses, and interpretations.  DACHS_MOFs focuses on the synthesis and characterisation of metal-organic frameworks, across multiple, automation-assisted experimental series (AutoMOFs), with the overall goal of producing reproducible MOF samples through tracking of the synthesis parameters. 

DACHS_MOFs is simultaneously used to test the DACHS principles. 

This upload contain synthesis data from AutoMOFs_3 in HDF5 format (.h5). Each .h5 file contains detailed information on the chemical, experimenal, and synthesis parameters used during the synthesis of a single AutoMOF sample.

AutoMOFs_3

What: 13 samples (M001 - M013)

Why: Initial systems testing, Consistency/repeatability, Time, Stirring speed, Stirring bar, Reagent Age, Open/closed

When:  14/07/2022

Sample Naming

Sample denoted as "M" are synthesised by injecting the metal solution (Solution0) first (e.g. "metal first")

How to view the files:

To open files, any HDF5 compatable viewer should work (e.g. DAWN, HDF view, H5Web etc).  It is also possible to view files in Python using the h5py library. Jupyter notebooks will also be made available to explore the files.

File structure:

Detailed synthesis descriptions can be found for each sample within each file, and are stored in /DACHS/Synthesis/Description

Experimetal set-up are stored in /DACHS/Synthesis/Description

Chemicals, including starting compounds, mixtures, and (potential-, target- and final) products are given in the /DACHS/Chemicals

Parameters that might be of interest to the synthesis are stored in /DACHS/Synthesis/DerivedParameters

Additional notes on samples/oddities arrising from their synthesis are stored in /DACHS/Synthesis/DerivedParameters/Note

File storage:

To maintain compatability with scripts uploadedd to the DACHS community, data from this upload should be stored locally in the following file path: 

DACHS/MOFs/AutoMOFs_3/Synthesis
DOI: 10.15468/dl.aj6ef2
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.03541 40.76461,-3.92538 40.76461,-3.92538 40.85502,-4.03541 40.85502,-4.03541 40.76461))",
 "TaxonKey is Gagea nevadensis Boiss."
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251328-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ywmx4
title: Occurrence Download

description: A dataset containing 20576 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Acer saccharum Marshall"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2022",
 "DecimalLatitude is greater than or equal to 37.2175715394077",
 "DecimalLatitude is less than or equal to 55.89975228574528",
 "DecimalLongitude is greater than or equal to -87.43959328807993",
 "DecimalLongitude is less than or equal to -53.8862508016652",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 20576 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049058-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvzzbb
title: Occurrence Download

description: A dataset containing 7207 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Symphonia globulifera L.fil., Symphonia globulifera var. globulifera, Symphonia globulifera var. macoubea Vesque, Symphonia microphylla R.E.Schult., Symphonia utilissima R.E.Schult.)"
 ]
}

 The dataset includes 7207 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160019-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33wn2w
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ectropis aigneri Prout, 1930",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 201 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0129219-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgaucu
title: Occurrence Download

description: A dataset containing 2080 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vanilla planifolia Andrews"
 ]
}

 The dataset includes 2080 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247285-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2md4g
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Biscutella gredensis Guinea"
 ]
}

 The dataset includes 54 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147758-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmrdah
title: Occurrence Download

description: A dataset containing 34235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muscardinus avellanarius (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2022",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 34235 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164153-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqbqma
title: Occurrence Download

description: A dataset containing 1796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA.24.143_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1992-2022"
 ]
}

 The dataset includes 1796 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240497-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3mh9g
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chiropterotriton totonacus Parra-Olea, García-Castillo, Rovito, Maisano, Hanken & Wake, 2020"
 ]
}

 The dataset includes 89 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127640-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tesyd
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paramoera edouardi Schellenberg, 1929"
 ]
}

 The dataset includes 51 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128039-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4u2ze
title: Occurrence Download

description: A dataset containing 60702148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-32 27,52 27,52 72,-32 72,-32 27))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 60702148 records from 4385 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164149-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mug3uv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Elaeagnus ovata"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008077-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr37635.v1
title: Health and Life Study of Koreans, United States, 2016-2018
title: Version 1

description: The Health and Life Study of Koreans (HLSK) was conducted as a part of the study, "Empirical Assessment of Respondent Driven Sampling from Total Survey Error Perspectives" supported by the National Science Foundation. The larger study aimed to examine the operational and inferential properties of respondent driven sampling (RDS). HLSK applied RDS using a web survey, to examine the health of foreign-born Korean-American adults living in Los Angeles County or the State of Michigan. It should be noted that the literature on analysis of RDS data is not fully established, and there is less than clear empirical evidence illustrating the fit of using RDS for population-level inferences. Hence, data users are advised to exercise extreme caution in making population-level inferences.
This study uses existing questions from established surveys such as the American Community Survey (ACS), Kessler survey of psychological distress, and the California Health Interview Survey (CHIS). The Main Survey covers topics like socio-demographics, physical and mental health, healthcare utilization, religiosity, political engagement, psychosocial traits, and racial/ethnic identity. The Follow-up Survey and Restricted Data focuses on RDS sampling questions and allows users to examine the relationships between recruiters and their recruits. Additionally, the Follow-up Survey and Restricted Data includes variables that contain sensitive information such as multi-racial identity, citizenship status, and physical health characteristics.
description: This study's purpose was to improve how data is collected on hard to research communities by fielding a survey on Korean Americans' wellbeing.
description: This study used respondent driven sampling which starts with a number of eligible participants called seeds. This survey started with 15 seeds in LA and 5 seeds in Michigan. Once the seeds completed the survey, they were asked to recruit other eligible participants. The individuals recruited by the seeds were then asked to recruit their peers, and this chain referral process continued until the data collection period ended.
description: Respondent driven sampling
description: Datasets: 
DS0: Study-Level Files
DS1: Main Survey
DS2: Follow-up Survey and Restricted Data
description: Adults who are non-US born Koreans who live in the State of Michigan or Los Angeles County and fluently speak Korean or English.
description: web-based surveyUsers are invited to view the
"Introducing Health and Life Study of Koreans" video produced by the Principal Investigator.Additional information on HLSK can be found by visiting the
Health and Life Study of Koreans
website. Additionally, please see the User Guide for more detailed information on the respondent driven sampling model utilized for this study.
DOI: 10.15468/dl.z65g9r
title: Occurrence Download

description: A dataset containing 1474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-113.59054 -7.34924,-39.40946 -7.34924,-39.40946 22.34924,-113.59054 22.34924,-113.59054 -7.34924))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bactris guineensis"
 ]
}

 The dataset includes 1474 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008304-251025141854904/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/14753130
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.vd454x
title: Occurrence Download

description: A dataset containing 448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyanotis axillaris",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 448 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016436-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18505445
title: Data and Diagrams Companion: Air-Side Thermodynamic Margin as a Governing Factor in High-BMEP Diesel Combustion Stability
DOI: 10.5281/zenodo.18505446
title: Data and Diagrams Companion: Air-Side Thermodynamic Margin as a Governing Factor in High-BMEP Diesel Combustion Stability
DOI: 10.15468/dl.gd4u3y
title: Occurrence Download

description: A dataset listing the 270 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - LFOQ - Blois-Le Breuil-Inventaires Aéro Biodiversité - LFOQ - Observations opportunistes plateforme"
 ]
}

 The dataset's 270 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016428-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8aha36
title: Occurrence Download

description: A dataset containing 2755 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apodemus draco"
 ]
}

 The dataset includes 2755 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016437-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zne6e
title: Occurrence Download

description: A dataset containing 8109 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fiocruz/CAVAISC - Coleção de Artrópodes Vetores Ápteros de Importância em Saúde das Comunidades"
 ]
}

 The dataset includes 8109 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016438-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gxrrh
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dichorisandra thyrsiflora",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 498 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016440-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h83bqw
title: Occurrence Download

description: A dataset containing 2238863 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year 2023-2023"
 ]
}

 The dataset includes 2238863 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016402-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15159/phytop.183
title: Kodijärv

description: Phytoplankton biomass, diversity and abundance in samples collected from Lake Kodijärv during the period 1954-1989.
DOI: 10.11583/dtu.13795928
title: Database from citizen science project "Fangstjournalen"

description: Fangstjournalen is a citizen science
project for anglers, i.e. recreational fishers using reel and rod. The system
collects data when anglers report information from their fishing trips including
their catches of fish. <br>When reporting a fishing trip anglers provide
information about fishing location, hours fished, target fish species as well
as information about catches i.e. species, length or weight, fate (released or
harvested), and gear used. We also collect other species-specific data about fish catches, e.g parasites, tags, gender, maturity and much more. Anglers are
encouraged to report blank trips, which allow calculations of Catch-Per-Unit-Effort estimates
which we use to compare densities of fish between years and fishing sites. <br>Data
is being collected via an electronic platform including a browser version and a
smartphone app (for android and iPhone). <br>Anglers can also report a range of
different observations that they make make during their fishing trip, e.g. presence
of large marine mammals, tuna, invasive species and more. Additional entries
for observations can be made in the backend of the system, e.g. as part of
collaboration projects with other researchers who wish to engage anglers in their
citizen science data collection.<br>Upon registration participants are encouraged to fill out entries that support with information about demographics (postal code, gender, age) and angling characteristics (e.g. experience, preferred fishing types, importance of angling as a hobby). This information combined with GPS of fishing sites can provide information about travel patterns. See CSV file for more information about data that is being collected.<br>Data is not shared directly due to content of personal information, but contact Christian Skov, ck@aqua.dtu.dkORCID 0000-0002-8547-6520. He is happy to engage in collaborative projects.<br>See a popular introduction to the Citizen Science project Fangstjournalen here.https://doi.org/10.11581/DTU:00000094
DOI: 10.11583/dtu.13795928.v1
title: Database from citizen science project "Fangstjournalen"

description: Fangstjournalen is a citizen science
project for anglers, i.e. recreational fishers using reel and rod. The system
collects data when anglers report information from their fishing trips including
their catches of fish. <br>When reporting a fishing trip anglers provide
information about fishing location, hours fished, target fish species as well
as information about catches i.e. species, length or weight, fate (released or
harvested), and gear used. We also collect other species-specific data about fish catches, e.g parasites, tags, gender, maturity and much more. Anglers are
encouraged to report blank trips, which allow calculations of Catch-Per-Unit-Effort estimates
which we use to compare densities of fish between years and fishing sites. <br>Data
is being collected via an electronic platform including a browser version and a
smartphone app (for android and iPhone). <br>Anglers can also report a range of
different observations that they make make during their fishing trip, e.g. presence
of large marine mammals, tuna, invasive species and more. Additional entries
for observations can be made in the backend of the system, e.g. as part of
collaboration projects with other researchers who wish to engage anglers in their
citizen science data collection.<br>Upon registration participants are encouraged to fill out entries that support with information about demographics (postal code, gender, age) and angling characteristics (e.g. experience, preferred fishing types, importance of angling as a hobby). This information combined with GPS of fishing sites can provide information about travel patterns. See CSV file for more information about data that is being collected.<br>Data is not shared directly due to content of personal information, but contact Christian Skov, ck@aqua.dtu.dkORCID 0000-0002-8547-6520. He is happy to engage in collaborative projects.<br>See a popular introduction to the Citizen Science project Fangstjournalen here.https://doi.org/10.11581/DTU:00000094