cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9v6unh
title: Occurrence Download

description: A dataset containing 23091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pastinaca sativa, Pastinaca sativa, Pastinaca sativa)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 23091 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017204-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwa3em
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Angiopteris",
 "TypeStatus is one of (Type, Isotype, Holotype, Syntype, Lectotype, TypeSeries, Isolectotype, Isosyntype, Paratype, Neotype, Topotype, OriginalMaterial)"
 ]
}

 The dataset includes 494 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017205-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tewga2
title: Occurrence Download

description: A dataset containing 11704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-82.11515 40.98952,-89.74472 40.34864,-93.18783 30.60715,-84.84735 24.57681,-80.00121 24.21084,-74.36863 30.52798,-74.80346 39.76153,-82.11515 40.98952))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Morella cerifera"
 ]
}

 The dataset includes 11704 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017206-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjz5e8
title: Occurrence Download

description: A dataset containing 11816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Carya illinoinensis"
 ]
}

 The dataset includes 11816 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017207-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucuwf5
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea diversifolia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 222 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017208-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33nkfz
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stylosanthes maracajuensis"
 ]
}

 The dataset includes 25 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017209-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2uw9rs
title: Occurrence Download

description: A dataset containing 3150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-82.11515 40.98952,-89.74472 40.34864,-93.18783 30.60715,-84.84735 24.57681,-80.00121 24.21084,-74.36863 30.52798,-74.80346 39.76153,-82.11515 40.98952))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ilex verticillata"
 ]
}

 The dataset includes 3150 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017211-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m67g43
title: Occurrence Download

description: A dataset containing 2440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pedicularis foliosa, Pedicularis foliosa, Pedicularis foliosa, Pedicularis foliosa)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 2440 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017212-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15784610
title: Essential meaning word scores for ousiometric framework of Goodness-Power-Aggression-Danger-Structure (GPADS)

description: Dataset produced by paper "Ousiometrics: The essence of meaning aligns with a power–danger–structure framework instead of valence–arousal–dominance" by Dodds et al.

Scores for words in a three dimensional space of essential meaning.

Tab-separated columns are:

1.  n-gram (mostly individual words)

2. Goodness (vs Badness)

3. Power (vs Weakness)

4. Aggression (vs Gentleness)

5. Danger (vs Safety)

6. Structure (high is unstructured, low is structure)

 

The GPAD circumplex lies in the first two dimensions.

Structure is the third dimension.

Two minimal orthogonal frameworks are: 

Goodness-Aggression-Structure (GAS)

Power-Danger-Structure (PDS)Power-Danger-Structure aligns with real word usage (tokens), and aligns an array of other systems.

 

Primary plane is spanned by GA or PD frameworks.

 

Connection:

Power = 1/sqrt(2) ( Goodness + Aggression)

Danger = 1/sqrt(2) (-Goodness + Aggression) = 1/sqrt(2)(Badness + Aggression)
DOI: 10.5281/zenodo.18509376
title: Essential meaning word scores for ousiometric framework of Goodness-Power-Aggression-Danger-Structure (GPADS)

description: Dataset produced by paper "Ousiometrics: The essence of meaning aligns with a power–danger–structure framework instead of valence–arousal–dominance" by Dodds et al.

Scores for words in a three dimensional space of essential meaning.

Tab-separated columns are:

1.  n-gram (mostly individual words)

2. Goodness (vs Badness)

3. Power (vs Weakness)

4. Aggression (vs Gentleness)

5. Danger (vs Safety)

6. Structure (high is unstructured, low is structure)

 

The GPAD circumplex lies in the first two dimensions.

Structure is the third dimension.

Two minimal orthogonal frameworks are: 

Goodness-Aggression-Structure (GAS)

Power-Danger-Structure (PDS)Power-Danger-Structure aligns with real word usage (tokens), and aligns an array of other systems.

 

Primary plane is spanned by GA or PD frameworks.

 

Connection:

Power = 1/sqrt(2) ( Goodness + Aggression)

Danger = 1/sqrt(2) (-Goodness + Aggression) = 1/sqrt(2)(Badness + Aggression)
DOI: 10.15468/dl.wm8fnw
title: Occurrence Download

description: A dataset containing 52621 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -28.773895969281842
 AND decimallatitude &lt;= -24.552553756517728
 AND decimallongitude &gt;= 132.25114863075456
 AND decimallongitude &lt;= 140.73802309049617
 AND GBIF_Within('POLYGON ((140.738023 -28.773896, 140.738023 -24.552554, 132.251149 -24.552554, 132.251149 -28.773896, 140.738023 -28.773896))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 52621 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017192-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ipng4y
title: Replication Data for: Too Many Managers: The Strategic Use of Titles to Avoid Overtime Payments

description: This is the Replication Package for: Too Many Managers: The Strategic Use of Titles to Avoid Overtime Payments
DOI: 10.6084/m9.figshare.29291156
title: GNPS Feature-Based Molecular Networking results for <i>Rhodococcus</i> strains under variable temperature conditions

description: This dataset contains the output files generated from the Feature-Based Molecular Networking (FBMN) workflow performed on the GNPS platform (https://gnps.ucsd.edu) for all <i>Rhodococcus</i> strains analysed in this study. Strains were grown at three temperatures (20 °C, 25 °C, and 30 °C), and LC-HRMS/MS data were processed using MZmine 2 and submitted to GNPS for MS/MS-based network generation.<b>Contents of the archive:</b><code>network.graphml</code> – molecular network file for visualisation in Cytoscape.<code>node_attributes.tsv</code> – includes metadata for each feature (m/z, RT, sample group, GNPS library hits, etc.).<code>clusterinfo_summary.tsv</code> – summarises molecular families.<code>quantification_table.tsv</code> – feature intensities across all samples.<code>library_hits.tsv</code> – known compound matches from GNPS spectral libraries.These results were used to generate the molecular network shown in Figure 3 and Supplementary Figure S2, S3, and S4 presented in the manuscript.
DOI: 10.6084/m9.figshare.29291156.v1
title: GNPS Feature-Based Molecular Networking results for <i>Rhodococcus</i> strains under variable temperature conditions

description: This dataset contains the output files generated from the Feature-Based Molecular Networking (FBMN) workflow performed on the GNPS platform (https://gnps.ucsd.edu) for all <i>Rhodococcus</i> strains analysed in this study. Strains were grown at three temperatures (20 °C, 25 °C, and 30 °C), and LC-HRMS/MS data were processed using MZmine 2 and submitted to GNPS for MS/MS-based network generation.<b>Contents of the archive:</b><code>network.graphml</code> – molecular network file for visualisation in Cytoscape.<code>node_attributes.tsv</code> – includes metadata for each feature (m/z, RT, sample group, GNPS library hits, etc.).<code>clusterinfo_summary.tsv</code> – summarises molecular families.<code>quantification_table.tsv</code> – feature intensities across all samples.<code>library_hits.tsv</code> – known compound matches from GNPS spectral libraries.These results were used to generate the molecular network shown in Figure 3 and Supplementary Figure S2, S3, and S4 presented in the manuscript.
DOI: 10.25824/redu/69k3ug
title: Data linked to the article “Precision zones: an open-source QGIS plugin for management-zone delineation in precision agriculture.”

description: This dataset brings together rasters, the boundary in vector format, and the soil samples used in the case study of the article “Precision Zones: An Open-Source QGIS Plugin for Management-Zone Delineation in Precision Agriculture.”
DOI: 10.15468/dl.sbcg94
title: Occurrence Download

description: A dataset containing 5390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pedicularis palustris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 5390 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017213-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7h8mgq
title: Occurrence Download

description: A dataset containing 78429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes aegypti"
 ]
}

 The dataset includes 78429 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017171-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3017787/2551315
title: Data for EMSL Project 60579 from January 2024
DOI: 10.15468/dl.4tjst3
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Terminalia catappa L."
 ]
}

 The dataset includes 151 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014590-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3017793/2551316
title: Data for EMSL Project 60579 from January 2024
DOI: 10.25582/data.2024-01.3017795/2551317
title: Data for EMSL Project 60579 from January 2024
DOI: 10.25582/data.2024-01.3017799/2551318
title: Data for EMSL Project 60579 from January 2024
DOI: 10.15468/nsjn7f
title: AMAPPS Northeast Aerial Cruise Winter 2017

description: Original provider:
NOAA Northeast Fisheries Science Center (NEFSC)

Dataset credits:
NOAA Northeast Fisheries Science Center (NEFSC)

Abstract:
During 21 November 2017 – 04 January 2018, the Northeast Fisheries Science Center (NEFSC) conducted aerial abundance surveys targeting marine mammals and sea turtles. The southwestern extent was New Jersey and the northeastern extent was off of Nova Scotia, Canada in the Gulf of Maine. This survey covered waters from the coast line to about the 2000 m depth contour with a higher coverage over the New York State Offshore Planning Area. This survey coordinated with the southeast aerial survey that flew south of this study area in US waters. Track lines were flown 183 m (600 ft) above the water surface, at about 200 kph (110 knots). The two-independent team methodology was used to collect data. In Beaufort sea states of six and less, about 7,738 km of on-effort track lines were surveyed, where 93% of this effort was in Beaufort 3 and below.
DOI: 10.15468/4sb2jw
title: Sightings from R/V Song of the Whale during the winter 2019 MAPS survey (NMFS permit 14809)

description: Original provider:
Marine Conservation Research

Dataset credits:
Oliver Boisseau, Marine Conservation Research International

Abstract:
The dataset contains all sightings of cetaceans and other megafuana made during the MAPS winter cruise in Jan/Feb 2019 (NMFS permit 14809). When conductiong visual effort, two observers were situated either side of R/V Song of the Whale on an observation platform with an approximate eye-height of 5.5 m above sea-level during daylight hours. The observers scanned the trackline and in front of the vessel using naked eye; 7 x 50 binoculars were used to identify species and estimate group size. During periods of bad weather, observers were stationed on deck with an approximate eye-height of 3.5 m above sea-level.
DOI: 10.15468/gqthr2
title: SEUS Right Whale EWS Aerial Surveys 2018-19

description: Original provider:
Florida Fish and Wildlife Research Institute

Dataset credits:
NOAA Fisheries, Southeast Regional Office
Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute
Clearwater Marine Aquarium Research Institute
Funding for surveys provided by: NOAA Fisheries, U.S. Navy, U.S. Coast Guard, U.S. Army Corps of Engineers, and Georgia Department of Natural Resources

Abstract:
Right whale Early Warning System (EWS) aerial surveys are conducted during winter in the southeastern United States (SEUS). Surveys in this dataset began in 2016/2017 and were flown by Florida Fish and Wildlife Conservation Commission (FWC) and Clearwater Marine Aquarium Research Institute (CMARI, formerly Sea to Shore Alliance). FWC surveys were conducted in a Cessna 337 Skymaster aircraft with 2 observers (1 of which was also the data recorder). CMARI surveys were typically conducted in a NOAA Twin Otter aircraft with 2 observers plus 1 dedicated data recorder (CMARI surveys in February 2019 were conducted in a Partenavia P68C aircraft with 2 observers, 1 of which was also the data recorder). Target altitude was 1,000 ft, and target speed was 100 kts.
Only large whales, large sharks, and leatherback turtles were consistently recorded by both teams. Manatees, ocean sunfish, and manta rays were consistently recorded by FWC. Manatees and manta rays were consistently recorded by CMARI starting in 2018/2019. All other species were recorded opportunistically. Surveys broke track to obtain exact locations for large whales unless otherwise noted; locations for other species typically represent the location along the survey transect.
DOI: 10.15468/swy92p
title: Happywhale - Spinner Dolphin in Indian Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/gujtkb
title: Happywhale - Long-finned pilot whale in Arctic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/rnnun7
title: Happywhale - Leatherback sea turtle in North Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/c67asz
title: Sightings from R/V Song of the Whale during the spring 2019 MAPS survey (NMFS permit 14809)

description: Original provider:
Marine Conservation Research

Dataset credits:
Oliver Boisseau, Marine Conservation Research International

Abstract:
The dataset contains all sightings of cetaceans and other megafuana made during the MAPS spring cruise in Apr/May 2019 (NMFS permit 14809). When conductiong visual effort, two observers were situated either side of R/V Song of the Whale on an observation platform with an approximate eye-height of 5.5 m above sea-level during daylight hours. The observers scanned the trackline and in front of the vessel using naked eye; 7 x 50 binoculars were used to identify species and estimate group size. During periods of bad weather, observers were stationed on deck with an approximate eye-height of 3.5 m above sea-level.
DOI: 10.25399/unisadata.30316561
title: Ariel map showing KwaShushu Hot Springs, KwaZulu-Nata Province, in the ILemba District

description: In the study, the KwaShushu Hot Springs is used as an illustration to evaluate the views of the local population about this valuable natural asset as a tourist attraction. The research also seeks to examine how CBNRM could help the community if it were to be implemented and managed as a tool for development.The area is situated in South Africa's KwaZulu-Natal province, in the iLembe District, which lies in an administrative region known as Maphumulo Local Municipality. The exact site is between Nkandla and Ntunjambili on the lower uTugela river in Northern KwaZulu Natal.KwaShushu Hot Springs area is located on tribal territory that is managed by the local government and is part of the Maphumulo Local Municipality. The majority of the municipality is rural and is made up largely of tribal territory that the Ingonyama Trust manages on behalf of the nearby people. If properly managed and appropriately packaged, the nearby area's rich natural resources and historical significance could serve as a magnet for organised ecotourism. The local municipality, which oversees the region at the local government level, recognised this area as a viable location for regional economic and tourism growth in its Integrated Development Plan (IDP) 2018-2022. In July, which is a midwinter holiday month, the hot water draws many families, and the island turns into an unofficial camping site. The benefits that this natural resource offers to the community are still to be quantified. Therefore, the CBNRM strategy is viewed as a chance to do this by formalising the usage of the hot spring in order to directly benefit the community and protect the natural resource for use in the future (Stone and Nyaupane, 2014). This can therefore present that chance, considering the gap in the monitoring and evaluation of the CNBRM. Moreover, CBNRM must grow into a response to the question of how to best harness the exploitation of local resources to prioritise local, but sustainable, economic and social development.
DOI: 10.25399/unisadata.30316561.v1
title: Ariel map showing KwaShushu Hot Springs, KwaZulu-Nata Province, in the ILemba District

description: In the study, the KwaShushu Hot Springs is used as an illustration to evaluate the views of the local population about this valuable natural asset as a tourist attraction. The research also seeks to examine how CBNRM could help the community if it were to be implemented and managed as a tool for development.The area is situated in South Africa's KwaZulu-Natal province, in the iLembe District, which lies in an administrative region known as Maphumulo Local Municipality. The exact site is between Nkandla and Ntunjambili on the lower uTugela river in Northern KwaZulu Natal.KwaShushu Hot Springs area is located on tribal territory that is managed by the local government and is part of the Maphumulo Local Municipality. The majority of the municipality is rural and is made up largely of tribal territory that the Ingonyama Trust manages on behalf of the nearby people. If properly managed and appropriately packaged, the nearby area's rich natural resources and historical significance could serve as a magnet for organised ecotourism. The local municipality, which oversees the region at the local government level, recognised this area as a viable location for regional economic and tourism growth in its Integrated Development Plan (IDP) 2018-2022. In July, which is a midwinter holiday month, the hot water draws many families, and the island turns into an unofficial camping site. The benefits that this natural resource offers to the community are still to be quantified. Therefore, the CBNRM strategy is viewed as a chance to do this by formalising the usage of the hot spring in order to directly benefit the community and protect the natural resource for use in the future (Stone and Nyaupane, 2014). This can therefore present that chance, considering the gap in the monitoring and evaluation of the CNBRM. Moreover, CBNRM must grow into a response to the question of how to best harness the exploitation of local resources to prioritise local, but sustainable, economic and social development.