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

description: A dataset containing 41130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Canada",
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "StartDayOfYear 221-366",
 "StateProvince is one of (ONtario, Ontario, Ontario (Prov.), Ontario (安大略), Ontario (安大略省))",
 "TaxonKey is one of (Empidonax virescens (Vieillot, 1818), Pelecanus erythrorhynchos Gmelin, 1789, Riparia riparia (Linnaeus, 1758), Tyto alba (Scopoli, 1769), Hirundo rustica Linnaeus, 1758, Chlidonias niger (Linnaeus, 1758), Dolichonyx oryzivorus (Linnaeus, 1758), Tryngites subruficollis (Vieillot, 1819), Cardellina canadensis (Linnaeus, 1766), Setophaga cerulea (A.Wilson, 1810), Chaetura pelagica (Linnaeus, 1758), Chordeiles minor (J.R.Forster, 1771), Sturnella magna (Linnaeus, 1758), Antrostomus vociferus (A.Wilson, 1812), Contopus virens (Linnaeus, 1766), Numenius borealis (J.R.Forster, 1772), Coccothraustes vespertinus (W.Cooper, 1825), Aquila chrysaetos (Linnaeus, 1758), Vermivora chrysoptera (Linnaeus, 1766), Ammodramus savannarum (J.F.Gmelin, 1789), Ammodramus savannarum pratensis (Vieillot, 1818), Zonotrichia querula (Nuttall, 1840), Ammodramus henslowii (Audubon, 1829), Podiceps auritus (Linnaeus, 1758), Limosa haemastica (Linnaeus, 1758), Rallus elegans Audubon, 1834, Setophaga kirtlandii (S.F.Baird, 1852), Ixobrychus exilis (Gmelin, 1789), Tringa flavipes (J.F.Gmelin, 1789), Lanius ludovicianus Linnaeus, 1766, Parkesia motacilla (Vieillot, 1809), Colinus virginianus (Linnaeus, 1758), Contopus cooperi (Nuttall, 1831), Falco peregrinus Tunstall, 1771, Charadrius melodus Ord, 1824, Charadrius melodus circumcinctus (Ridgway, 1874), Protonotaria citrea (Boddaert, 1783), Calidris canutus rufa (A.Wilson, 1813), Melanerpes erythrocephalus (Linnaeus, 1758), Phalaropus lobatus (Linnaeus, 1758), Euphagus carolinus (Statius Muller, 1776), Asio flammeus (Pontoppidan, 1763), Hylocichla mustelina (Gmelin, 1789), Coturnicops noveboracensis (Gmelin, 1789), Icteria virens (Linnaeus, 1758), Icteria virens virens)",
 "Year 2023-2024"
 ]
}

 The dataset includes 41130 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060368-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dc8g4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.640624 -34.201805, 149.640624 -34.206297, 149.64287 -34.206297, 149.64287 -34.208542, 149.647361 -34.208542, 149.647361 -34.201805, 149.640624 -34.201805))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060369-240626123714530/datasets/export for details.
DOI: 10.15468/dl.p5pke8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.72883 -34.206297, 148.72883 -34.208542, 148.733321 -34.208542, 148.733321 -34.206297, 148.72883 -34.206297))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060371-240626123714530/datasets/export for details.
DOI: 10.15468/dl.t3pyqw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((150.260465 -34.201805, 150.260465 -34.206297, 150.255973 -34.206297, 150.255973 -34.208542, 150.26271 -34.208542, 150.26271 -34.201805, 150.260465 -34.201805))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060372-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cda8p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.629395 -34.208542, 149.629395 -34.210788, 149.633887 -34.210788, 149.633887 -34.208542, 149.629395 -34.208542))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060374-240626123714530/datasets/export for details.
DOI: 10.15468/dl.r3ac4n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.672065 -34.208542, 149.672065 -34.210788, 149.678803 -34.210788, 149.678803 -34.208542, 149.672065 -34.208542))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060375-240626123714530/datasets/export for details.
DOI: 10.15468/dl.55pczn
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.032012 -34.190576, 149.032012 -34.192822, 149.027521 -34.192822, 149.027521 -34.195068, 149.032012 -34.195068, 149.032012 -34.199559, 149.034258 -34.199559, 149.034258 -34.21528, 149.036504 -34.21528, 149.036504 -34.208542, 149.040996 -34.208542, 149.040996 -34.21528, 149.043241 -34.21528, 149.043241 -34.213034, 149.047733 -34.213034, 149.047733 -34.206297, 149.043241 -34.206297, 149.043241 -34.199559, 149.036504 -34.199559, 149.036504 -34.195068, 149.034258 -34.195068, 149.034258 -34.190576, 149.032012 -34.190576))"
 ]
}

 The dataset includes 63 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060376-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exrw6u
title: Occurrence Download

description: A dataset containing 782501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luscinia megarhynchos C.L.Brehm, 1831",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 782501 records from 3168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060370-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ctwdf
title: Occurrence Download

description: A dataset containing 20352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buergeria choui",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20352 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016518-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/uo8im5
title: PAN-00105109 - coin/coin-related, Constantinus' zonen (337-361), voor Theodora, nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00105109&lt;/p&gt;
description: Modified: 2025-05-26T11:32:33+02:00
DOI: 10.3886/e207887
title: Distinctive Feature Sensitivity of Ocular Following Initiation during Global Motion Perception

description: <b>Code and Data for Distinctive Feature Sensitivity of Ocular Following Initiation during Global Motion Perception</b><br>
DOI: 10.3886/e207887v5
title: Distinctive Feature Sensitivity of Ocular Following Initiation during Global Motion Perception

description: <b>Code and Data for Distinctive Feature Sensitivity of Ocular Following Initiation during Global Motion Perception</b><br>
DOI: 10.25824/redu/mfq7ai
title: Medication adherence in patients with myocardial infarction: randomized clinical trial

description: This study aims to evaluate the effectiveness of the “Action and Coping Plans for Medication Adherence Intervention - ADHERE” in promoting medication adherence in patients with myocardial infarction followed up in primary health care units and using cardioprotective medications. This is a randomized clinical trial with two groups and blinding of the evaluator. The enrolled participants who agree to participate in the study by signing the Free and Informed Consent Form (FICF) will be randomly distributed into the study, intervention and control groups using a random block randomization scheme. For the participants in the intervention group, three meetings will be held: at T0 (baseline), sociodemographic and clinical characterization data will be collected, as well as psychosocial measures, global assessment of medication adherence, in addition to blood pressure measurements, peripheral pulse rate and laboratory tests to assess the lipid profile. Afterwards, the ADHERE intervention strategy will be applied to participants with positive intention, which consists of developing action plans and addressing barriers to adherence to cardioprotective medications. In T1 (30 days after T0), participants will receive face-to-face reinforcement. In T2 (60 days after T0), another researcher will repeat the same measures as in T0 and acceptability will be assessed through a debriefing to assess participants' perception of the intervention. Feasibility will be assessed by the number of invited participants who showed interest in participating, the number of eligible and ineligible people recruited and the reasons for ineligibility, the number of eligible participants who withdrew from participating and the reasons for withdrawal, in addition to the time spent applying the intervention. Participants in the control group, after agreeing to participate in the research, will undergo tree meetings, T0 (baseline) for collecting sociodemographic and clinical data in addition to other measures as in the intervention group. In T1 (30 days after T0) they will receive the usual care of the unit and will be scheduled to return after 60 days, T2 (60 days after T0), where the same measurements will be collected as in the first contact. The description of the qualitative variables will be done by calculating frequencies and percentages. And for the quantitative variables, measures of central tendency and dispersion will be calculated. A significance level of 5% will be adopted. The findings of this study may provide a nursing intervention with evidence of effectiveness, feasibility and acceptability; these results provided support for the intervention to be tested in a real context in the future.
DOI: 10.17026/ar/7tzh15
title: PAN-00173630 - coarse ware pot type Hofh. 81-83 / Niederb. 90 / Br. 4

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00173630&lt;/p&gt;
description: Modified: 2025-07-17T12:53:55+02:00
DOI: 10.15468/dl.2kzqwf
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyrtomium fortunei",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 561 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016522-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65f7c5
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyrtomium fortunei",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 109 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016523-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afrqg9
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyrtomium fortunei",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 93 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016524-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/ara2af
title: PAN-00085668 - grindstone/whetstone

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00085668&lt;/p&gt;
description: Modified: 2025-07-10T14:55:44+02:00
DOI: 10.17026/ar/tiw3fi
title: PAN-00008398 - coin/coin-related, Hadrianus (117-138), denarius

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00008398&lt;/p&gt;
description: Modified: 2025-06-10T09:16:51+02:00
DOI: 10.17026/ar/icht4q
title: PAN-00161096 - hinge of segmented armour type Corbridge

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00161096&lt;/p&gt;
description: Modified: 2025-06-05T18:10:04+02:00
DOI: 10.48792/w2wc72
title: Tepee Fire Fuel and Fuel Consumption

description: Data Overview
Mapped attributes:
Fuel consumption derived from ALS data
Post-fire fuel load derived from ALS data
Pre-fire fuel load derived from ALS data
Fuel consumption derived from FCCS data
Post-fire fuel load derived from FCCS data
Pre-fire fuel load derived from FCCS data
Supplements:
ALS data extent
Tepee fire perimeter
Prior forest fuel treatments
Description
Landscape scale estimates of pre-fire fuel load and fuel consumption are valuable resources for land managers and scientists. We used multitemporal airborne laser scanning (ALS), combined with field data, to empirically model these variables at fine scales (5 m resolution). We acquired Fuel Characteristic Classification System (FCCS) estimates of fuel load through LANDFIRE (30 m resolution) and estimated fuel consumption using CONSUME in the software program Fuel and Fire Tools (FFT). This data publication contains pre/post fire fuel load and fuel consumption for the 2018 Tepee Fire (Oregon, USA) using each of the ALS and FCCS approaches. We used these data to compare the approaches and to examine the effect of differing spatial resolution. The data may also be used for studying fire behavior, fire effects, and smoke emissions at these fires. Further detail on these data can be found in McCarley et al. 2022.

Units
The units for all fuel estimates are megagrams per hectare. Negative consumption estimates in the ALS data correspond to vegetation growth.

Coordinate Reference System
Data is projected in WGS84 UTM Zone 10N (EPSG 32610).
DOI: 10.17026/ar/aczojq
title: PAN-00083983 - cylindrical or disc-shaped Roman block weight

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00083983&lt;/p&gt;
description: Modified: 2025-05-13T10:24:57+02:00
DOI: 10.48792/w2mw2v
title: Fuel and fuel consumption maps for the Kaibab Plateau in 2012, 2019, and 2020

description: These maps were created to estimate fuel loads across the Kaibab Plateau and fuel consumption across the 2019 Castle and Ikes Fires in northern Arizona, USA. For details on how these maps were created, see Bright et al. (2022) “Multitemporal lidar captures heterogeneity in fuel loads and consumption on the Kaibab Plateau”. SUMMARY: Airborne light detection and ranging (lidar) data were acquired across the Kaibab Plateau in northern Arizona, USA, in 2012 and 2019. To measure post-fire vegetation and fuels, airborne lidar data were also acquired in 2020 across the 2019 Castle Fire and portion of the 2019 Ikes Fire extent. Field observations of fuels that were temporally (within 2 years) and spatially coincident with these lidar acquisitions were predicted from airborne lidar metrics and Landsat-derived fire history metrics with random forest (RF) models. RF models were then applied to 20-m lidar and Landsat metric grids to create maps of total surface fuel (TSF) and available canopy fuel (ACF) loads for each lidar acquisition (years 2012, 2019, 2020). Fuel consumption maps for the 2019 Castle Fire and portion of the 2019 Ikes Fire were created by subtracting the 2020 fuel load maps from the 2019 fuel load maps. Except in small areas that burned severely, ACF consumption tended to be neutral or negative (i.e., ACF remained the same or increased between 2019 and 2020) for these predominantly low-severity fires. ACF is defined here as foliage weight plus 50% of small branch weight. TSF is defined here as the sum of 1 to 1000-hr, litter and duff fuel loads.
Fuel load maps are named using the following convention:
VARIABLE_AREA_YEAR.tif
where VARIABLE is the acronym for the mapped variable (ACF: available canopy fuel, TSF: total surface fuel), AREA is either ‘Castle’, ‘Ikes’, or ‘NKaibab’, and YEAR is either ‘2012’, ‘2019’, or ‘2020’. Fuel load consumption maps representing fuel consumption by the 2019 Castle and Ikes Fires follow the same naming convention as above but include CONSUMP in the name, i.e., VARIABLE_CONSUMP_AREA_YEAR.tif.
UNITS
The units for all maps are megagrams per hectare.

COORDINATE REFERENCE SYSTEM
The reference system for all maps is EPSG 26912.
DOI: 10.48792/w2rp4s
title: Keithly Fire Fuel and Fuel Consumption

description: Data Overview
Mapped attributes:
Fuel consumption derived from ALS data
Post-fire fuel load derived from ALS data
Pre-fire fuel load derived from ALS data
Fuel consumption derived from FCCS data
Post-fire fuel load derived from FCCS data
Pre-fire fuel load derived from FCCS data
Supplements:
ALS data extent
Keithly fire perimeter
Keithly AOI fire perimeter
Description
Landscape scale estimates of pre-fire fuel load and fuel consumption are valuable resources for land managers and scientists. We used multitemporal airborne laser scanning (ALS), combined with field data, to empirically model these variables at fine scales (5 m resolution). We acquired Fuel Characteristic Classification System (FCCS) estimates of fuel load through LANDFIRE (30 m resolution) and estimated fuel consumption using CONSUME in the software program Fuel and Fire Tools (FFT). This data publication contains pre/post fire fuel load and fuel consumption for the 2018 Keithly Fire (Idaho, USA) using each of the ALS and FCCS approaches. We used these data to compare the approaches and to examine the effect of differing spatial resolution. The data may also be used for studying fire behavior, fire effects, and smoke emissions at these fires. Further detail on these data can be found in McCarley et al. 2022.

Units
The units for all fuel estimates are megagrams per hectare. Negative consumption estimates in the ALS data correspond to vegetation growth.

Coordinate Reference System
Data is projected in WGS84 UTM Zone 11N for Keithly (EPSG 32611).
DOI: 10.34847/nkl.53bfkwlx
title: unine15a83d

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.5ba9t1sl
title: unine15a87m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.5d2c24jz
title: unine15a80d

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.6d6443jo
title: unine15a91m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.8ebc20q7
title: unine15a93m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.a9c66239
title: unine15a89d

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.ab92tf55
title: unine15a90m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.ca99ul2c
title: unine15a82m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.d6c27zfl
title: unine15a88m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.d86625fi
title: unine15a92d

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.d8cd7f49
title: unine15a81m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.f519j4zp
title: unine15a94m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.5281/zenodo.16720308
title: Socio-environmental Indices for Potential Microalgae Farm Sites Across the Conterminous United States

description: Dataset Description

This dataset provides customized socio-environmental indices (SIs) for 26,576 potential microalgae farm sites spread across the conterminous United States (CONUS). These sites were identified using the Biomass Assessment Tool (BAT), an advanced spatial modeling framework designed to evaluate open-pond algal biomass production potential at high spatial resolutions. The BAT integrates a variety of biophysical and climatic factors—including land suitability, meteorological conditions, water availability, and microalgae growth parameters—to systematically determine optimal locations for establishing microalgae farms. The SIs were calculated by integrating the Social Vulnerability Index (SVI) and the Environmental Justice Index (EJI) datasets. This dataset supports informed decision-making in sustainable microalgae farming by assessing the socioeconomic and environmental impacts of microalgae farms siting across the CONUS.

 

Content Overview





Socio-environmental_indices.zip



File Description: This zipped file contains the shapefile containing geospatial point data for all 26,576 potential microalgae farm sites in CONUS.

Attribute Table Columns:



"fid": Unique identifier for each microalgae farm site.

"acres": Farm area (in acres).

Percentile rankings for various SIs:



"socio_per": Socioeconomic status.

"hhs_per": Household composition & disability.

"hsing_per": Housing type & transportation.

"minor_per": Minority status & language.

"envir_per": Environmental burden.

"health_per": Health vulnerability.

"OSI_per": Overall Status Index (OSI), representing a synthesized percentile ranking of all the indices above.









Visualization_maps.zip



File Description: A zipped folder containing 7 geospatial maps. Each map visualizes the percentile rankings of the potential microalgae farm sites across CONUS for one of the defined indices from the shapefile.