cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2617441
title: Satellite Sensor Relative Spectral Response data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports: Himawari-8 AHI GOES-16 ABI GOES-17 ABI NOAA AVHRR/1, AVHRR/2, AVHRR/3 Metop AVHRR/3 TIROS-N AVHRR/1 Envisat AATSR Sentinel-3A SLSTR Sentinel-3A OLCI Meteosat SEVIRI Terra/Aqua MODIS Suomi-NPP VIIRS JPSS-1 (NOAA-20) VIIRS Sentinel-2A MSI Sentinel-2B MSI Landsat-8 OLI HY-1C COCTS Metop-SG-A1 MetImage FY-3D MERSI-2
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral
DOI: 10.5281/zenodo.3813418
title: Satellite Sensor Relative Spectral Response data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports: Himawari-8 AHI GOES-16 ABI GOES-17 ABI NOAA AVHRR/1, AVHRR/2, AVHRR/3 Metop AVHRR/3 TIROS-N AVHRR/1 Envisat AATSR Sentinel-3A SLSTR Sentinel-3A OLCI - mean rsr Meteosat SEVIRI Terra/Aqua MODIS Suomi-NPP VIIRS JPSS-1 (NOAA-20) VIIRS Sentinel-2A MSI Sentinel-2B MSI Landsat-8 OLI HY-1C COCTS Metop-SG-A1 MetImage - multiple detectors Sentinel-3B OLCI - mean rsr FY-3D MERSI-2 FY-4A AGRI FY-3B VIRR FY-3C VIRR GEO-KOMPSAT-2A AMI Sentinel-3B SLSTR Meteosat-12 FCI MTG-I1 FCI (same as above)
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral
DOI: 10.5281/zenodo.3824535
title: Satellite Sensor Relative Spectral Response data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports: Himawari-8 AHI GOES-16 ABI GOES-17 ABI NOAA AVHRR/1, AVHRR/2, AVHRR/3 Metop AVHRR/3 TIROS-N AVHRR/1 Envisat AATSR Sentinel-3A SLSTR Sentinel-3A OLCI - mean rsr Meteosat SEVIRI Terra/Aqua MODIS Suomi-NPP VIIRS JPSS-1 (NOAA-20) VIIRS Sentinel-2A MSI Sentinel-2B MSI Landsat-8 OLI HY-1C COCTS Metop-SG-A1 MetImage - NB! simulated data - not measured! Sentinel-3B OLCI - mean rsr FY-3D MERSI-2 FY-4A AGRI FY-3B VIRR FY-3C VIRR GEO-KOMPSAT-2A AMI Sentinel-3B SLSTR Meteosat-12 FCI MTG-I1 FCI (same as above)
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral
DOI: 10.5281/zenodo.5797957
title: Satellite Sensor Relative Spectral Response data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports: Himawari-8 AHI Himawari-9 AHI GOES-16 ABI GOES-17 ABI GOES-18 ABI GOES-19 ABI NOAA AVHRR/1, AVHRR/2, AVHRR/3 Metop AVHRR/3 TIROS-N AVHRR/1 Envisat AATSR Sentinel-3A&B SLSTR Sentinel-3A&B OLCI - mean rsr Meteosat SEVIRI Terra/Aqua MODIS Suomi-NPP VIIRS JPSS-1 (NOAA-20) VIIRS Sentinel-2A MSI Sentinel-2B MSI Landsat-8 OLI HY-1C COCTS Metop-SG-A1 MetImage - NB! simulated data - not measured! Sentinel-3B OLCI - mean rsr FY-3D MERSI-2 FY-4A AGRI FY-3B VIRR FY-3C VIRR GEO-KOMPSAT-2A AMI Meteosat-12 FCI MTG-I1 FCI (same as above)
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral This release fixes an issue with the GEO-KOMPSAT-2A AMI data. The data were reversed, so wavelengths were decreasing
DOI: 10.5281/zenodo.1040312
title: Satellite Sensor Relative Spectral Response Data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports:


	Himawari-8 AHI
	GOES-16 ABI
	NOAA AVHRR/1, AVHRR/2, AVHRR/3
	Metop AVHRR/3
	TIROS-N AVHRR/1
	Envisat AATSR
	Sentinel-3A SLSTR
	Sentinel-3A OLCI
	Meteosat SEVIRI
	Terra/Aqua MODIS
	Suomi-NPP VIIRS
	JPSS-1 (NOAA-20) VIIRS
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral
DOI: 10.5281/zenodo.1146748
title: Satellite Sensor Relative Spectral Response Data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports:


	Himawari-8 AHI
	GOES-16 ABI
	NOAA AVHRR/1, AVHRR/2, AVHRR/3
	Metop AVHRR/3
	TIROS-N AVHRR/1
	Envisat AATSR
	Sentinel-3A SLSTR
	Sentinel-3A OLCI
	Meteosat SEVIRI
	Terra/Aqua MODIS
	Suomi-NPP VIIRS
	JPSS-1 (NOAA-20) VIIRS
	Sentinel-2A MSI
	Sentinel-2B MSI
	Landsat-8 OLI
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral
DOI: 10.5281/zenodo.1491277
title: Satellite Sensor Relative Spectral Response data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports: Himawari-8 AHI GOES-16 ABI GOES-17 ABI NOAA AVHRR/1, AVHRR/2, AVHRR/3 Metop AVHRR/3 TIROS-N AVHRR/1 Envisat AATSR Sentinel-3A SLSTR Sentinel-3A OLCI Meteosat SEVIRI Terra/Aqua MODIS Suomi-NPP VIIRS JPSS-1 (NOAA-20) VIIRS Sentinel-2A MSI Sentinel-2B MSI Landsat-8 OLI FY-3D MERSI-2
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral
DOI: 10.5281/zenodo.2653487
title: Satellite Sensor Relative Spectral Response data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports: Himawari-8 AHI GOES-16 ABI GOES-17 ABI NOAA AVHRR/1, AVHRR/2, AVHRR/3 Metop AVHRR/3 TIROS-N AVHRR/1 Envisat AATSR Sentinel-3A SLSTR Sentinel-3A OLCI - mean rsr Meteosat SEVIRI Terra/Aqua MODIS Suomi-NPP VIIRS JPSS-1 (NOAA-20) VIIRS Sentinel-2A MSI Sentinel-2B MSI Landsat-8 OLI HY-1C COCTS Metop-SG-A1 MetImage - multiple detectors Sentinel-3B OLCI - mean rsr FY-3D MERSI-2
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral
DOI: 10.5281/zenodo.6026563
title: Satellite Sensor Relative Spectral Response data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports: Himawari-8 AHI Himawari-9 AHI GOES-16 ABI GOES-17 ABI GOES-18 ABI GOES-19 ABI NOAA AVHRR/1, AVHRR/2, AVHRR/3 Metop AVHRR/3 TIROS-N AVHRR/1 Envisat AATSR Sentinel-3A&B SLSTR Sentinel-3A&B OLCI - mean rsr Meteosat SEVIRI Terra/Aqua MODIS Suomi-NPP VIIRS JPSS-1 (NOAA-20) VIIRS Sentinel-2A MSI Sentinel-2B MSI Landsat-8 OLI HY-1C COCTS Metop-SG-A1 MetImage - NB! simulated data - not measured! Sentinel-3B OLCI - mean rsr FY-3D MERSI-2 FY-4A AGRI FY-3B VIRR FY-3C VIRR GEO-KOMPSAT-2A AMI Meteosat-12 FCI MTG-I1 FCI (same as above) Electro-L N2 MSU-GS Arctica-M 1 MSU-GS/A
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral This release fixes an issue with the GEO-KOMPSAT-2A AMI data. The data were reversed, so wavelengths were decreasing
DOI: 10.5281/zenodo.6557386
title: Satellite Sensor Relative Spectral Response data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports: Himawari-8 AHI Himawari-9 AHI GOES-16 ABI GOES-17 ABI GOES-18 ABI GOES-19 ABI NOAA AVHRR/1, AVHRR/2, AVHRR/3 Metop AVHRR/3 TIROS-N AVHRR/1 Envisat AATSR Sentinel-3A&B SLSTR Sentinel-3A&B OLCI - mean rsr Meteosat SEVIRI Terra/Aqua MODIS Suomi-NPP VIIRS JPSS-1 (NOAA-20) VIIRS Sentinel-2A MSI Sentinel-2B MSI Landsat-8 OLI HY-1C COCTS Metop-SG-A1 MetImage - NB! simulated data - not measured! Sentinel-3B OLCI - mean rsr FY-3D MERSI-2 FY-4A AGRI FY-3B VIRR FY-3C VIRR GEO-KOMPSAT-2A AMI Meteosat-12 FCI (version from EUMETSAT, April 2022) MTG-I1 FCI (same as above) Electro-L N2 MSU-GS Arctica-M 1 MSU-GS/A
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral This release includes an update to the FCI spectral responses as of April 2022
DOI: 10.5281/zenodo.1010470
title: Satellite Sensor Relative Spectral Response Data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports:


	Himawari-8 AHI
	GOES-16 ABI
	NOAA AVHRR/1, AVHRR/2, AVHRR/3
	Metop AVHRR/3
	TIROS-N AVHRR/1
	Envisat AATSR
	Sentinel-3A SLSTR
	Sentinel-3A OLCI
	Meteosat SEVIRI
	Terra/Aqua MODIS
	Suomi-NPP VIIRS
	JPSS-1 (NOAA-20) VIIRS
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral
DOI: 10.5281/zenodo.3813522
title: Satellite Sensor Relative Spectral Response data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports: Himawari-8 AHI GOES-16 ABI GOES-17 ABI NOAA AVHRR/1, AVHRR/2, AVHRR/3 Metop AVHRR/3 TIROS-N AVHRR/1 Envisat AATSR Sentinel-3A SLSTR Sentinel-3A OLCI - mean rsr Meteosat SEVIRI Terra/Aqua MODIS Suomi-NPP VIIRS JPSS-1 (NOAA-20) VIIRS Sentinel-2A MSI Sentinel-2B MSI Landsat-8 OLI HY-1C COCTS Metop-SG-A1 MetImage - multiple detectors Sentinel-3B OLCI - mean rsr FY-3D MERSI-2 FY-4A AGRI FY-3B VIRR FY-3C VIRR GEO-KOMPSAT-2A AMI Sentinel-3B SLSTR Meteosat-12 FCI MTG-I1 FCI (same as above)
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral
DOI: 10.5281/zenodo.4305549
title: Satellite Sensor Relative Spectral Response data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports: Himawari-8 AHI GOES-16 ABI GOES-17 ABI NOAA AVHRR/1, AVHRR/2, AVHRR/3 Metop AVHRR/3 TIROS-N AVHRR/1 Envisat AATSR Sentinel-3A SLSTR Sentinel-3A OLCI - mean rsr Meteosat SEVIRI Terra/Aqua MODIS Suomi-NPP VIIRS JPSS-1 (NOAA-20) VIIRS Sentinel-2A MSI Sentinel-2B MSI Landsat-8 OLI HY-1C COCTS Metop-SG-A1 MetImage - NB! simulated data - not measured! Sentinel-3B OLCI - mean rsr FY-3D MERSI-2 FY-4A AGRI FY-3B VIRR FY-3C VIRR GEO-KOMPSAT-2A AMI Sentinel-3B SLSTR Meteosat-12 FCI MTG-I1 FCI (same as above)
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral This release fixes an issue with the GEO-KOMPSAT-2A AMI data. The data were reversed, so wavelengths were decreasing
DOI: 10.6084/m9.figshare.27325032
title: All source data of the paper “The mimicking and synergistic effects of magnetic fields on caloric restriction”

description: Caloric restriction (CR) is widely recognized as a beneficial dietary approach for managing various conditions, including aging, overweight, and diabetes. Nonetheless, maintaining strict long-term compliance to CR and overcome its the metabolic adaptation have proven to be significant challenges. In this study, we discovered that combining CR with magnetic fields (MFs), a straightforward physical intervention, can increase the ATP production and mitochondrial respiration in liver cells. In fact, MFs can replicate several CR benefits in <i>ob/ob</i> obese mice, such as reducing fatty liver, alleviating insulin resistance, and decreasing blood glucose levels. Furthermore, the combination of MFs with CR (MFs+CR) not only substantially improves lipid metabolism and overall liver function but also decreases fat mass while preserving lean mass. The synergistic effects of MFs+CR are likely due to the combination of reduced intake by CR, and increased output by MFs, which boost mitochondria respiration by magnetohydrodynamic processes and enhanced mitochondrial electron transfer chain activity. Our results suggest a promising new avenue for complementing or potentially replacing CR with a simple, non-invasive physical approach to address metabolic diseases like diabetes and obesity.
DOI: 10.6084/m9.figshare.27325032.v2
title: All source data of the paper “The mimicking and synergistic effects of magnetic fields on caloric restriction”

description: Caloric restriction (CR) is widely recognized as a beneficial dietary approach for managing various conditions, including aging, overweight, and diabetes. Nonetheless, maintaining strict long-term compliance to CR and overcome its the metabolic adaptation have proven to be significant challenges. In this study, we discovered that combining CR with magnetic fields (MFs), a straightforward physical intervention, can increase the ATP production and mitochondrial respiration in liver cells. In fact, MFs can replicate several CR benefits in <i>ob/ob</i> obese mice, such as reducing fatty liver, alleviating insulin resistance, and decreasing blood glucose levels. Furthermore, the combination of MFs with CR (MFs+CR) not only substantially improves lipid metabolism and overall liver function but also decreases fat mass while preserving lean mass. The synergistic effects of MFs+CR are likely due to the combination of reduced intake by CR, and increased output by MFs, which boost mitochondria respiration by magnetohydrodynamic processes and enhanced mitochondrial electron transfer chain activity. Our results suggest a promising new avenue for complementing or potentially replacing CR with a simple, non-invasive physical approach to address metabolic diseases like diabetes and obesity.
DOI: 10.6084/m9.figshare.27325032.v1
title: 论文“The mimicking and synergistic effects of magnetic fields on caloric restriction”的所有来源数据。

description: 热量限制 （CR） 被广泛认为是控制各种疾病（包括衰老、超重和糖尿病）的有益饮食方法。尽管如此，保持对 CR 的严格长期依从性并克服其代谢适应已被证明是重大挑战。在这项研究中，我们发现将 CR 与磁场 （MFs）是一种简单的物理干预，可以增加肝细胞中 ATP 的产生和线粒体呼吸。 事实上， 中复制多种 CR 益处 <i>ob/ob</i> ，例如减少脂肪肝、缓解胰岛素抵抗和降低血糖水平。此外，MFs 与 CR 的组合 （MFs+CR） 不仅显着改善脂质代谢和整体肝功能，而且在保持瘦体重的同时减少脂肪量。MFs + CR 的协同效应可能是由于 CR 减少摄入和 MFs 增加输出的结合，MFs 通过磁流体动力学过程促进线粒体呼吸并增强线粒体电子转移链活性。我们的研究结果表明，用一种简单的非侵入性物理方法来补充或可能取代 CR 以解决糖尿病和肥胖等代谢疾病，是一种有前途的新途径。
DOI: 10.15468/dl.pfe87y
title: Occurrence Download

description: A dataset containing 593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactylorhiza sphagnicola (Höppner) Aver.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 593 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010766-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fyfrwp86pc.1
title: CIFAR100

description: The pickled format for CIFAR-100 dataset (for python support)
DOI: 10.15468/dl.z7r2nm
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactylorhiza cordigera (Fr.) Soó",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 156 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010767-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4n45af
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.1679 42.44342,3.05457 42.2812,0.29417 40.67879,0.75262 40.09149,3.79177 41.65923,3.8706 42.72775,3.1679 42.44342))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Charonia lampas (Linnaeus, 1758)"
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010769-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5524wr
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Gabon",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Year 2007-2023"
 ]
}

 The dataset includes 290 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010770-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ghxfg2498b.1
title: 20241011_ogiso

description: Raw data for "Non-Targeted Metabolomics Reveal Apomorphine's Therapeutic Effects and Lysophospholipid Alterations in Steatohepatitis"
DOI: 10.17632/ghxfg2498b.2
title: 20241011_ogiso

description: Raw data for "Non-Targeted Metabolomics Reveal Apomorphine's Therapeutic Effects and Lysophospholipid Alterations in Steatohepatitis"
DOI: 10.5281/zenodo.12582589
title: Higher temperatures exacerbate effects of antibiotics on methanogenesis in freshwater sediment

description: This dataset features data and code of the associated publication in Communications Earth & Environment (https://doi.org/10.1038/s43247-024-01828-3). To reproducibly run the code you should download the entire .zip archive and open the *.RProj file ideally with the same R version (4.3.1). To achieve maximum reproducibility of the code you should run renv::restore() to restore the packages recorded in renv.lock. Scripts within the folder code are named in the order in which they should be run. Note that running the Bayesian models requires a C++ toolchain. A web search of "RStan Getting Started" will yield up to date information about how to install this on your device. The models ran for the publication are provided as .rds file in case you don't want to run it yourself. Some figures required post-export editing in the paid program "Affinity photo". The edited and unedited versions are included in this repository to allow for comparisons. Also the .afphoto files are included for users that own a license.
DOI: 10.5281/zenodo.12582590
title: Higher temperatures exacerbate effects of antibiotics on methanogenesis in freshwater sediment

description: This dataset features data and code of the associated publication in Communications Earth & Environment (https://doi.org/10.1038/s43247-024-01828-3). To reproducibly run the code you should download the entire .zip archive and open the *.RProj file ideally with the same R version (4.3.1). To achieve maximum reproducibility of the code you should run renv::restore() to restore the packages recorded in renv.lock. Scripts within the folder code are named in the order in which they should be run. Note that running the Bayesian models requires a C++ toolchain. A web search of "RStan Getting Started" will yield up to date information about how to install this on your device. The models ran for the publication are provided as .rds file in case you don't want to run it yourself. Some figures required post-export editing in the paid program "Affinity photo". The edited and unedited versions are included in this repository to allow for comparisons. Also the .afphoto files are included for users that own a license.
DOI: 10.15468/dl.rnx8n7
title: Occurrence Download

description: A dataset containing 466030 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gadus morhua Linnaeus, 1758"
 ]
}

 The dataset includes 466030 records from 282 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010762-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzuqff
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactylorhiza kalopissii E.Nelson",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010771-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14008189
title: Peru Energy Data (Part I)

description: The data illustrate the evolution of the Peruvian Energy System from 2005 to 2022. This information has been compiled by consulting the National Energy Balances for each respective year. It is important to note that data for primary energy, transformation, and secondary energy for the years 2010 and 2011 is either missing or incomplete. Additionally, final consumption by source includes data dating back to 1985.
DOI: 10.5281/zenodo.14008190
title: Peru Energy Data (Part I)

description: The data illustrate the evolution of the Peruvian Energy System from 2005 to 2022. This information has been compiled by consulting the National Energy Balances for each respective year. It is important to note that data for primary energy, transformation, and secondary energy for the years 2010 and 2011 is either missing or incomplete. Additionally, final consumption by source includes data dating back to 1985.
DOI: 10.15468/dl.62ebb5
title: Occurrence Download

description: A dataset containing 2120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolia dubia Say",
 "Year 2024-2024"
 ]
}

 The dataset includes 2120 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010772-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phyyqt
title: Occurrence Download

description: A dataset containing 2069 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cambodia",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Year 2007-2023"
 ]
}

 The dataset includes 2069 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010773-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drf8w5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactylorhiza macedonica J.Hölz. & Künkele",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010775-241024112534372/datasets/export for details.
DOI: 10.48329/q5ta-3q58
title: CPRD GOLD January 2023

description: The CPRD GOLD database contains longitudinal routinely-collected electronic health records (EHR data) from UK primary care practices using Vision® general practice patient management software. The database captures information on demographic characteristics; diagnoses and symptoms; drug exposures; vaccination history; laboratory tests; and referrals to hospital and specialist care. Access to anonymised data from CPRD is subject to a full licence agreement containing detailed terms and conditions of use. Anonymised patient datasets can be extracted for researchers against specific study specifications, following protocol approval. Further information is available at https://www.cprd.com/data-access.
DOI: 10.15468/dl.dmthf3
title: Occurrence Download

description: A dataset containing 2110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Zimbabwe",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Year 2007-2023"
 ]
}

 The dataset includes 2110 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010776-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mx576q
title: Occurrence Download

description: A dataset containing 622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cameroon",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Year 2007-2023"
 ]
}

 The dataset includes 622 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010778-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.