cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13154470
title: EStreams: An Integrated Dataset and Catalogue of Streamflow, Hydro-Climatic Variables and Landscape Descriptors for Europe

description: Check out the paper at: https://doi.org/10.1038/s41597-024-03706-1 (published at Nature Scientific Data).

EStreams is an extensive catalog of openly available stream records, along with a dataset of hydro-climatic variables and landscape descriptors for +17,000 European catchments. It spans up to 120 years of records. The catalog provides detailed guidance, enabling users to directly access the sources of streamflow used. Additionally, the dataset comprises catchment-aggregated hydro-climatic indices and signatures, as well as landscape attributes and meteorological records.

Updates



07 August 2024: version 1.0 



General: 



Version of the official paper release.



In the "estreams_gauging_stations.csv" file we:



Updated the field "nested_catchments" to include also the basin itself, for some cases where the basin was not yet included.








15 June 2024: version 0.2



General: 



Added 2,114 new basins: 1,813 in France, 111 in Iceland, 13 in Estonia and 18 in Serbia; exclusion of a total of 31 stations from the previous release due to overlap with the new stations (Serbia and Iceland GRDC). 

Fix the name of the meteorological variable "mean air pressure at sea level" from "sp_min" to "sp_mean" in all the meteorological time-series files. 

Inclusion of an appendix folder with licenses information and a further description of the classes names included for land cover and lithology.

Fix the name of the monthly streamflow indices from "mothnly" to "monthly".

Correction of the name of the static topographical attributes from "estreams_terrain_attributes.csv" to "estreams_topography_attributes.csv".



In the "estreams_gauging_stations.csv" file we:



Renamed the fields "area", "area_calc" and "area_perc" to respectivelly "area_official", "area_estreams" and "area_rel" for consistency. 

Added the fields "nested_catchments", "num_days_reliable", "num_days_noflag", "num_days_suspect" and "gauge_flag" were added.

Updated the field "gauges_upstream" to include also the basin itself.



In the "estreams_streamflow_catalogue.csv" file we:



Added the field  "download_method".

Updated the fields "observations" and "references".



In the "estreams_meteorology_coverage.csv" file we:



Updated the names of the fields to: stations_num_{p_mean, t_mean, t_min, t_max, sp_mean, rh_mean, ws_mean, swr_mean}  and stations_dens_{p_mean, t_mean, t_min, t_max, sp_mean, rh_mean, ws_mean, swr_mean}, as it is presented in the manuscript.
DOI: 10.5281/zenodo.13961394
title: EStreams: An Integrated Dataset and Catalogue of Streamflow, Hydro-Climatic Variables and Landscape Descriptors for Europe

description: Check out the paper at: https://doi.org/10.1038/s41597-024-03706-1 (published at Nature Scientific Data).

EStreams is an extensive catalog of openly available stream records, along with a dataset of hydro-climatic variables and landscape descriptors for +17,000 European catchments. It spans up to 120 years of records. The catalog provides detailed guidance, enabling users to directly access the sources of streamflow used. Additionally, the dataset comprises catchment-aggregated hydro-climatic indices and signatures, as well as landscape attributes and meteorological records.

Updates



22 October 2024: version 1.1 



In the "estreams_hydrometeo_signatures.csv" file we:



Corrected the field "p_seasonality". The function previously provided in the hydroanalysis python package had a mistake, and it is now corrected. Additionally, the EStreams GitHub page and the hydroanalysis GitHub page were now updated with the correct formulation. 








07 August 2024: version 1.0 



General: 



Version of the official paper release.



In the "estreams_gauging_stations.csv" file we:



Updated the field "nested_catchments" to include also the basin itself, for some cases where the basin was not yet included.








15 June 2024: version 0.2



General: 



Added 2,114 new basins: 1,813 in France, 111 in Iceland, 13 in Estonia and 18 in Serbia; exclusion of a total of 31 stations from the previous release due to overlap with the new stations (Serbia and Iceland GRDC). 

Fix the name of the meteorological variable "mean air pressure at sea level" from "sp_min" to "sp_mean" in all the meteorological time-series files. 

Inclusion of an appendix folder with licenses information and a further description of the classes names included for land cover and lithology.

Fix the name of the monthly streamflow indices from "mothnly" to "monthly".

Correction of the name of the static topographical attributes from "estreams_terrain_attributes.csv" to "estreams_topography_attributes.csv".



In the "estreams_gauging_stations.csv" file we:



Renamed the fields "area", "area_calc" and "area_perc" to respectivelly "area_official", "area_estreams" and "area_rel" for consistency. 

Added the fields "nested_catchments", "num_days_reliable", "num_days_noflag", "num_days_suspect" and "gauge_flag" were added.

Updated the field "gauges_upstream" to include also the basin itself.



In the "estreams_streamflow_catalogue.csv" file we:



Added the field  "download_method".

Updated the fields "observations" and "references".



In the "estreams_meteorology_coverage.csv" file we:



Updated the names of the fields to: stations_num_{p_mean, t_mean, t_min, t_max, sp_mean, rh_mean, ws_mean, swr_mean}  and stations_dens_{p_mean, t_mean, t_min, t_max, sp_mean, rh_mean, ws_mean, swr_mean}, as it is presented in the manuscript.
DOI: 10.15468/dl.eyt35q
title: Occurrence Download

description: A dataset containing 125290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((140 60,180 60,180 90,140 90,140 60))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 125290 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023595-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qjmnr
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acantholimon creticum (Boiss.) Rech.fil."
 ]
}

 The dataset includes 31 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023644-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuuymm
title: Occurrence Download

description: A dataset containing 3831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (cb77dcf8-96ce-4014-b95e-69fc3dae0305, e43cf4b8-849e-4fac-b075-e652d019d2cf, b3bf3a83-1f68-4541-a03f-330d30d567f5, f314b0b0-e3dc-11d9-8d81-b8a03c50a862, ada9d123-ddb4-467d-8891-806ea8d94230, cc483d69-50e9-4463-8eb6-41fc459fa485, 0ed04352-6745-4665-9e11-7117ee91a96b, 7b8aff00-a9f8-11d8-944b-b8a03c50a862, ae447c50-b8a8-11d8-92a4-b8a03c50a862)",
 "TaxonKey is Basidiomycota"
 ]
}

 The dataset includes 3831 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023642-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25545/kskkt5
title: Automation Accelerated screening of H-Bond-Rich Iridium Photosensitisers for Hydrogen Generation

description: we demonstrate the incorporation of a series of our H-bond rich guanidine-styled iridium (III) complexes into a catalytic system. Using automation accelerated catalysis screening techniques we optimised our system quickly and effectively to observe how these strongly H-bonding complexes may perform. Proven to be photo-electronically suitable, and with effective electron transfer abilities evidenced by Stern-Volmer mechanistic studies, the complexes showed modest levels of H2 evolution in comparison to previously investigated photosensitisers with general formula [Ir(C^N)2(N^N)].
DOI: 10.25545/kskkt5/eqaj2s
title: H2PhotoCat.rar
DOI: 10.23668/psycharchives.16057
title: Dataset for: Mind or Body? What Mediates the Influence of Emotion-Specific Bodily Maps on Single Emotion Recognition?

description: In two experiments, we examined if single emotion recognition is improved by a training to assign bodily maps (i.e., topographically distinct and culturally universal bodily sensations) to corresponding emotions. In Experiment 1, participants in the experimental group (N = 38) viewed emotion-arousing pictures eliciting predominantly one specific emotion (i.e., fear, anger, disgust, and sadness) and learned to assign emotions to emotion-specific bodily sensations. Control group participants (N = 36) were exposed to the same set of pictures and judged the content of the pictures on semantic dimensions (e.g., animals, people). Subsequently, a set of emotion-arousing pictures was presented, and all participants were asked to estimate the intensity of each emotion. Training of emotion-specific bodily maps improved single emotion recognition relative to the control group. Experiment 2 (N = 43) replicated the findings of Experiment 1 and suggests that the training effect is caused by semantic processes.
DOI: 10.6084/m9.figshare.28391414
title: GIS data files for JGRA58960

description: The files in this data set were obtained from the Global Ionospheric Specification (GIS) derived from COSMIC-2 radio occultation data along with data from other sources. The GIS is normally available from the Department of Earth Sciences at the National Cheng Kung University of Taiwan as NetCDF files. (https://formosat7.earth.ncku.edu.tw) To make access easier for others to access I have converted two GIS files to csv files. These have been used to supplement observations from the GOLD (Global-scale Observations of Limb and Disk) mission, primarily night glow emissions at 135.6 nm. GOLD data are readily available from publicly available sources.
DOI: 10.6084/m9.figshare.28391414.v1
title: GIS data files for JGRA58960

description: The files in this data set were obtained from the Global Ionospheric Specification (GIS) derived from COSMIC-2 radio occultation data along with data from other sources. The GIS is normally available from the Department of Earth Sciences at the National Cheng Kung University of Taiwan as NetCDF files. (https://formosat7.earth.ncku.edu.tw) To make access easier for others to access I have converted two GIS files to csv files. These have been used to supplement observations from the GOLD (Global-scale Observations of Limb and Disk) mission, primarily night glow emissions at 135.6 nm. GOLD data are readily available from publicly available sources.
DOI: 10.6084/m9.figshare.28229933
title: R code

description: The R code for the study of "Tag attachment reduces the initiation of recruitment in the rock ant, <i>Temnothorax rugatulus"</i>
DOI: 10.6084/m9.figshare.28229933.v1
title: R code

description: The R code for the study of "Tag attachment reduces the initiation of recruitment in the rock ant, <i>Temnothorax rugatulus"</i>
DOI: 10.15468/dl.sartw3
title: Occurrence Download

description: A dataset containing 4932306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain"
 ]
}

 The dataset includes 4932306 records from 1512 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023594-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fcjyb
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Eleginops maclovinus (Cuvier, 1830)"
 ]
}

 The dataset includes 410 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008822-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/typvgg
title: Subfamily Heteromyzinae newly recorded from China with description of one new species (Diptera: Heleomyzidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zeng, Wei, Xu, Xingnong, Yang, Ding (2023): Subfamily Heteromyzinae newly recorded from China with description of one new species (Diptera: Heleomyzidae). Zootaxa 5264 (2): 293-298, DOI: 10.11646/zootaxa.5264.2.9, URL: http://dx.doi.org/10.1094/PDIS-04-22-0755-PDNAbstractThis study reported the subfamily Heteromyzinae with its genus Tephrochlamys from China for the first time. Tephrochlamys Loew is a small genus in Heteromyzinae with only 13 known species from the Afrotropical, Oriental, Palaearctic and Nearctic Regions. Here, we described one new species of Tephrochlamys from Qinghai of Palaearctic China: Tephrochlamys qinghaiensis sp. nov. An updated key to the Palaearctic species of Tephrochlamys is presented.
DOI: 10.15468/cvfkhc
title: Taxonomic study of the genus Gammarus (Amphipoda, Gammaridae) from Xinjiang, China, with description of a new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tong, Yan, Wang, Xiaokun, Liu, Fengsong, Li, Shuqiang, Hou, Zhonge (2022): Taxonomic study of the genus Gammarus (Amphipoda, Gammaridae) from Xinjiang, China, with description of a new species. Zootaxa 5120 (1): 97-110, DOI: 10.11646/zootaxa.5120.1.6AbstractA new species, Gammarus hoboksar Hou, sp. nov., is described from the Irtysh River basin of Xinjiang, China. The species differs morphologically from its congeners by calceoli of antenna II absent; merus and carpus of pereopods III–IV with short setae; inner ramus of uropod III about 0.79 times the length of outer ramus, terminal article of outer ramus about 0.24 times the length of first article; telson cleft, with spines and setae on surface and three spines on distal end. Phylogenetic analysis based on 28S rRNA and COI gene sequences supported the species distinctness. A key to the genus Gammarus with nine species and a map of their distributions are provided.
DOI: 10.15468/p8y978
title: Integrative taxonomic approach to the cryptic diversity of Diplostomum spp. in lymnaeid snails from Europe with a focus on the ‘ Diplostomum mergi’ species complex

description: This dataset contains the digitized treatments in Plazi based on the original journal article Selbach, Chlcstcan, Soldánová, Mcloslava, Geolgceva, Scmona, Kostadcnova, Aneta, Sules, Belnd (2015): Integrative taxonomic approach to the cryptic diversity of Diplostomum spp. in lymnaeid snails from Europe with a focus on the ‘ Diplostomum mergi’ species complex. Parasites & Vectors (300) 8 (1): 1-21, DOI: 10.1186/s13071-015-0904-4, URL: http://dx.doi.org/10.1186/s13071-015-0904-4
DOI: 10.13140/rg.2.2.32407.29603
title: Self-imposed British failures which doomed Pakistan Army main attack in 1965 war also
DOI: 10.13140/rg.2.2.23468.18563
title: Habitats in transect 20210216_020_TZ
DOI: 10.13140/rg.2.2.34425.80488
title: Map to illustrate significance of Azov to Cossacks and Ottomans
DOI: 10.13140/rg.2.2.29812.07043
title: Badly conducted war of the private British East India Company
DOI: 10.13140/rg.2.2.28720.89604
title: ECONOMY OF UK STARTING TO RECOVER IN SUMMER PROFESSOR TAREQ ALASADI ]‬
DOI: 10.13140/rg.2.2.15272.90884
title: وحدة التعليم المستمر في كلية الفنون الجميلة
DOI: 10.13140/rg.2.2.36663.85928
title: Permaculture a year old practice in North East India
DOI: 10.15156/bio/sh0192696.10fu
title: SH0192696.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0192697.10fu
title: SH0192697.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0192698.10fu
title: SH0192698.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0192699.10fu
title: SH0192699.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0192700.10fu
title: SH0192700.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0192701.10fu
title: SH0192701.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0192702.10fu
title: SH0192702.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.