cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12744180
title: SkyScan 1172 µCT dataset of grains

description: This is a micro-CT dataset obtained from SkyScan 1172. A collection of grains were imaged with a total of 996 projections. Metadata needed for reconstruction are included in jyvat.log. The projections are in TIFF-format (16-bit unsigned integers, single channel). This data can also be used as an example data with the OMEGA software.

Flat field correction has been most likely applied to the projections, but it is unknown if other corrections has been applied. No flat value is included.
DOI: 10.5281/zenodo.12744181
title: SkyScan 1172 µCT dataset of grains

description: This is a micro-CT dataset obtained from SkyScan 1172. A collection of grains were imaged with a total of 996 projections. Metadata needed for reconstruction are included in jyvat.log. The projections are in TIFF-format (16-bit unsigned integers, single channel). This data can also be used as an example data with the OMEGA software.

Flat field correction has been most likely applied to the projections, but it is unknown if other corrections has been applied. No flat value is included.
DOI: 10.5281/zenodo.11262782
title: No evidence of increased forest loss from a mining rush in a biodiversity hotspot

description: This repository contains the data and code used in the study entitled 'No evidence of impacts from a mining rush in a protected forest'. 2024. Authors: Katie Devenish, Simon Willcock, Kathryn M. Goodenough, Rio Heriniaina, O. Sarobidy Rakotonarivo, Julia P.G. Jones.

The main focus of this study was an evaluation of the impacts of the 2016-17 sapphire rush at Bemainty in Eastern Madagascar on deforestation and forest degradation (temporary tree cover loss). We used the Tropical Moist Forests (TMF) data (Vancutsem et al., 2021) to measure forest changes and the synthetic control method to estimate counterfactual outcomes. Supplementary data from informal interviews and lemur surveys conducted in the field October - November 2019 by Rio Heriniaina were drawn upon to explore the wider impacts and trade-offs of the mining rush, and assess the health of lemur populations 2 years after the rush. 

This repository contains the raw interview and lemur survey data collected by Rio Heriniaina at Bemainty October - November 2019. It also contains the code (entitled Script_updated_for_publication), spatial data, and input data required to reproduce the results from the main forest loss analysis. 

Data on deforestation and degradation was obtained from the Tropical Moist Forests dataset (Vancutsem et al, 2021). Annual deforestation was measured using the Deforestation year data. Annual deforestation per drainage basin was calculated in ArcGIS and is already contained within the attributes of the basins layer (Mada_basins_Lev9_edited_final).

However, annual degradation data was obtained by adapting the  TMF rawAnnual Disruptions data in Google Earth Engine. The output of this process (Annual_Disruptions_YEAR_masked) was loaded into R and annual degradation calculated per drainage basin. Annual deforestation and degradation rates were calculated as a percentage of forest cover in each drainage basin at the start of each year. To obtain annual forest cover estimates for each sub-basin we reclassified the TMF Annual Change datasets and extracted forest area per sub-basin. Both of these processes were extremely computationally expensive. The code includes these steps, but also contains an option (Option 1) to skip these steps by uploading csv files of annual forest cover (For_Area_ext2_21_04) and annual degradation per basin (Deg_Area_ext2_21_04) included in this repository. This data can be joined back to the basins layer. This allows users to skip this computationally expensive stage and progress straight to the analysis. The For90 layer (Vieilledent et al., 2018) and the Annual Disruptions data (Annual_Disruptions_YEAR_masked) are only needed if following Option 2 in the code.
DOI: 10.5281/zenodo.11262783
title: No evidence of increased forest loss from a mining rush in a biodiversity hotspot

description: This repository contains the data and code used in the study entitled 'No evidence of impacts from a mining rush in a protected forest'. 2024. Authors: Katie Devenish, Simon Willcock, Kathryn M. Goodenough, Rio Heriniaina, O. Sarobidy Rakotonarivo, Julia P.G. Jones.

The main focus of this study was an evaluation of the impacts of the 2016-17 sapphire rush at Bemainty in Eastern Madagascar on deforestation and forest degradation (temporary tree cover loss). We used the Tropical Moist Forests (TMF) data (Vancutsem et al., 2021) to measure forest changes and the synthetic control method to estimate counterfactual outcomes. Supplementary data from informal interviews and lemur surveys conducted in the field October - November 2019 by Rio Heriniaina were drawn upon to explore the wider impacts and trade-offs of the mining rush, and assess the health of lemur populations 2 years after the rush. 

This repository contains the raw interview and lemur survey data collected by Rio Heriniaina at Bemainty October - November 2019. It also contains the code (entitled Script_updated_for_publication), spatial data, and input data required to reproduce the results from the main forest loss analysis. 

Data on deforestation and degradation was obtained from the Tropical Moist Forests dataset (Vancutsem et al, 2021). Annual deforestation was measured using the Deforestation year data. Annual deforestation per drainage basin was calculated in ArcGIS and is already contained within the attributes of the basins layer (Mada_basins_Lev9_edited_final).

However, annual degradation data was obtained by adapting the  TMF rawAnnual Disruptions data in Google Earth Engine. The output of this process (Annual_Disruptions_YEAR_masked) was loaded into R and annual degradation calculated per drainage basin. Annual deforestation and degradation rates were calculated as a percentage of forest cover in each drainage basin at the start of each year. To obtain annual forest cover estimates for each sub-basin we reclassified the TMF Annual Change datasets and extracted forest area per sub-basin. Both of these processes were extremely computationally expensive. The code includes these steps, but also contains an option (Option 1) to skip these steps by uploading csv files of annual forest cover (For_Area_ext2_21_04) and annual degradation per basin (Deg_Area_ext2_21_04) included in this repository. This data can be joined back to the basins layer. This allows users to skip this computationally expensive stage and progress straight to the analysis. The For90 layer (Vieilledent et al., 2018) and the Annual Disruptions data (Annual_Disruptions_YEAR_masked) are only needed if following Option 2 in the code.
DOI: 10.6084/m9.figshare.25872160.v1
title: ENIGMA_BD_PRS.zip

description: Files necessary to run the ENIGMA BD PRS study. Instructions can be found on the Github page https://github.com/nadineparker/ENIGMA_BD_PRS/tree/main.
DOI: 10.15468/dl.4d8yew
title: Occurrence Download

description: A dataset containing 6143 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((120.44 30.45,121.01 30.45,121.01 31.01,120.44 31.01,120.44 30.45))"
 ]
}

 The dataset includes 6143 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024902-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2js9h94n
title: ERA5-Land hourly data from 1950 to present

description: ERA5-Land (European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis) is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past.
 ERA5-Land uses as input to control the simulated land fields ERA5 atmospheric variables, such as air temperature and air humidity. This is called the atmospheric forcing. Without the constraint of the atmospheric forcing, the model-based estimates can rapidly deviate from reality. Therefore, while observations are not directly used in the production of ERA5-Land, they have an indirect influence through the atmospheric forcing used to run the simulation. In addition, the input air temperature, air humidity and pressure used to run ERA5-Land are corrected to account for the altitude difference between the grid of the forcing and the higher resolution grid of ERA5-Land. This correction is called 'lapse rate correction'.
 The ERA5-Land dataset, as any other simulation, provides estimates which have some degree of uncertainty. Numerical models can only provide a more or less accurate representation of the real physical processes governing different components of the Earth System. In general, the uncertainty of model estimates grows as we go back in time, because the number of observations available to create a good quality atmospheric forcing is lower. ERA5-land parameter fields can currently be used in combination with the uncertainty of the equivalent ERA5 fields.
DOI: 10.15468/dl.u4yf5z
title: Occurrence Download

description: A dataset containing 812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GBR.3.12.1_1",
 "TaxonKey is Ulmus L."
 ]
}

 The dataset includes 812 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024904-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysw4ej
title: Occurrence Download

description: A dataset containing 10845 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astroblepus Humboldt, 1805"
 ]
}

 The dataset includes 10845 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024905-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwqkq4
title: Occurrence Download

description: A dataset containing 1716570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, Puerto Rico Long-Term Coral Reef Monitoring Program Database Compilation, Global soil organisms)",
 "Geometry POLYGON((-99.4435 -5.02765,-96.87731 -29.01427,-91.30103 -54.36659,-55.36506 -56.13207,-29.43032 -1.93581,-65.98587 19.95292,-99.4435 -5.02765))",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "Year 2003-2024"
 ]
}

 The dataset includes 1716570 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024901-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10698871
title: Relocated Earthquake Catalog for Nevada (2008 — 2023)

description: This dataset contains a relocated earthquake catalog for Nevada and the surrounding region for years 2008 through 2023. All events during this time period detected by Nevada Seismological Laboratory (NSL) analysts have been located using a 3D velocity model for the state, and a subset are then relocated using waveform cross-correlation. All events have revised magnitude estimates using a newly developed distance scaling relation and station correction terms.

The catalog is presented as a space-delimited text file with the following columns:



evid: event ID from the NSL databse

otime: origin time estimate

lat: latitude estimate (decimal degree)

lon: longitude estimate (decimal degree)

dep: event depth relative sea level (km)

mag: local magnitude (revised from the NSL archive listing)

reloc: 1 or 0 depending on whether the event is waveform-relocated or not


The station terms are also uploaded to this repository as a two-column file: station name and correction term value. The sign convention is such that positive / negative station terms correspond to amplification / deamplification respectively. To implement the station terms in the magnitude calculations, we first compute the log10 Wood-Anderson equivalent waveform amplitude in millimeters, correct for distance (see citation for details), subtract the appropriate station term, and finally aggregate by median across stations to get the event magnitude estimate.

If you use this dataset in your research, please cite the corresponding peer-reviewed manuscript:

Daniel T. Trugman; A High‐Precision Earthquake Catalog for Nevada. Seismological Research Letters 2024; doi: https://doi.org/10.1785/0220240106
DOI: 10.5281/zenodo.11167510
title: Relocated Earthquake Catalog for Nevada (2008 — 2023)

description: This dataset contains a relocated earthquake catalog for Nevada and the surrounding region for years 2008 through 2023. All events during this time period detected by Nevada Seismological Laboratory (NSL) analysts have been located using a 3D velocity model for the state, and a subset are then relocated using waveform cross-correlation. All events have revised magnitude estimates using a newly developed distance scaling relation and station correction terms.

The catalog is presented as a space-delimited text file with the following columns:



evid: event ID from the NSL databse

otime: origin time estimate

lat: latitude estimate (decimal degree)

lon: longitude estimate (decimal degree)

dep: event depth relative sea level (km)

mag: local magnitude (revised from the NSL archive listing)

reloc: 1 or 0 depending on whether the event is waveform-relocated or not


The station terms are also uploaded to this repository as a two-column file: station name and correction term value. The sign convention is such that positive / negative station terms correspond to amplification / deamplification respectively. To implement the station terms in the magnitude calculations, we first compute the log10 Wood-Anderson equivalent waveform amplitude in millimeters, correct for distance (see citation for details), subtract the appropriate station term, and finally aggregate by median across stations to get the event magnitude estimate.

If you use this dataset in your research, please cite the corresponding peer-reviewed manuscript:

Daniel T. Trugman; A High‐Precision Earthquake Catalog for Nevada. Seismological Research Letters 2024; doi: https://doi.org/10.1785/0220240106
DOI: 10.15468/dl.cg3847
title: Occurrence Download

description: A dataset listing the 1057 species recorded in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((120.44 30.45,121.01 30.45,121.01 31.01,120.44 31.01,120.44 30.45))"
 ]
}

 The dataset's 1057 records were derived from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024903-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12745349
title: Seismic scattering regimes from multiscale entropy and frequency correlations dataset

description: Dataset accompanying manuscript published in Geophysical Journal International entitled

Seismic scattering regimes from multiscale entropy and frequency correlations
DOI: 10.5281/zenodo.12745350
title: Seismic scattering regimes from multiscale entropy and frequency correlations dataset

description: Dataset accompanying manuscript published in Geophysical Journal International entitled

Seismic scattering regimes from multiscale entropy and frequency correlations
DOI: 10.15468/dl.6xx7vj
title: Occurrence Download

description: A dataset listing the 177 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astroblepus Humboldt, 1805"
 ]
}

 The dataset's 177 records were derived from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024906-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dfgat
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GBR.3.12.1_1",
 "TaxonKey is Corylus avellana L."
 ]
}

 The dataset includes 311 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024909-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csk6f9
title: Occurrence Download

description: A dataset containing 392 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bat species occurrences in Nyungwe National Park, Rwanda"
 ]
}

 The dataset includes 392 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024910-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94pcga
title: Occurrence Download

description: A dataset containing 14779247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Argentina"
 ]
}

 The dataset includes 14779247 records from 2391 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024907-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5stz2
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trichosanthes baviensis Gagnep."
 ]
}

 The dataset includes 93 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019881-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmmc4y
title: Occurrence Download

description: A dataset listing the 30 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((31.87847 31.42266,117.13238 31.42266,117.13238 65.52422,31.87847 65.52422,31.87847 31.42266))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tulipa L."
 ]
}

 The dataset's 30 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228048-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mdm53
title: Occurrence Download

description: A dataset containing 36142826 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil"
 ]
 },
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36142826 records from 1490 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0423418-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7vb4r
title: Occurrence Download

description: A dataset containing 23848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Acanthus mollis L."
 ]
}

 The dataset includes 23848 records from 324 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035505-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbk9wv
title: Occurrence Download

description: A dataset containing 2568 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum xanthostigma H.H.Lindb."
 ]
}

 The dataset includes 2568 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010070-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uksxu
title: Occurrence Download

description: A dataset containing 5139176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year is 2014",
 "Month is June",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "Issue" : [
 "is one of (Taxon match none, Individual count invalid, Individual count conflicts with occurrence status, Presumed swapped coordinate)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 5139176 records from 594 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138147-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wz97ru
title: Occurrence Download

description: A dataset containing 17293614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "MediaType is Image",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 17293614 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035322-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.137156
title: Ostracon hiératique Ifao - ODM 2241_nu_2006_02582

description: Référence : nu_2006_02582<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.15468/dl.j7nk63
title: Occurrence Download

description: A dataset containing 2731566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dendrocopos major (Linnaeus, 1758), Polyporus umbellatus (Pers.) Fr.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 2731566 records from 1480 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238996-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.