cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18728/igb-fred-795.2
title: Mayflies of South America

description: Mayflies of South America Study site: South America. Authors: Carolina Nieto, Carlos Molineri & Eduardo Domínguez. Species names available upon communication with the authors. Contact details: Carolina Nieto. E-mail: carolinanieto@gmail.com. ORCID: https:/orcid.org/0000-0003-1909-1750. Affiliation: IBN-Conicet. Facultad de Ciencias Naturales e IML. Tucumán. Argentina. Carlos Molineri. E-mail: carlosmolineri@gmail.com. ORCID: https:/orcid.org/0000-0003-2662-624X. Affiliation: IBN-Conicet. Facultad de Ciencias Naturales e IML. Tucumán. Argentina. Eduardo Domínguez. E-mail: eduardo.mayfly@gmail.com. ORCID: https:/orcid.org/0000-0002-4201-7869. Affiliation: IBN-Conicet. Facultad de Ciencias Naturales e IML. Tucumán. Argentina. The column 'year' of the records includes a range '1970-2019' and not the actual year of the sample. Coordinates of the bounding box (ulx, uly, lrx, lry): -110.9, 29.1, -34.85104, -54.78806 Centroid coordinates (x,y): -61.724826,-17.099112 Number of records: 7776 The dataset includes records in areas: Not protected on the observation date (0) Protected on the observation date (1) Protected on a date following the observation date (2) using the November 2022 version of the Protected Planet WDPA WD-OECM dataset (Protected Planet: World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UNEP-WCMC and IUCN, 2022). Please see publication for further information. Freshwater Ecoregions of the World (FEOW, Abell et al., 2008) covered: 0,134,160,162,164,166,167,169-171,173,174,201-207,209,210,301-308,310-337,339-349,352 Taxonomic focus of the study: Ephemeroptera Survey methods: Light traps and hand net
DOI: 10.5281/zenodo.7324057
title: Dummy Dataset

description: This is just a dummy dataset to test anonymous publishing for double-blind reviews
DOI: 10.5281/zenodo.7324056
title: Dummy Dataset

description: This is just a dummy dataset to test anonymous publishing for double-blind reviews
DOI: 10.18728/igb-fred-796.4
title: Mongolian Aquatic Insect Survey (MAIS)

description: Mongolian Aquatic Insect Survey (MAIS) Study site: Mongolia. Authors: Alain Maasri. Contact details: Alain Maasri. E-mail: alainmaasri@gmail.com. ORCID: https://orcid.org/0000-0003-1236-8374. Affiliation: Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany AND The Academy of Natural Sciences of Drexel University, Philadelphia, Pennsylvania, USA. We thank the PIs Jon Gelhaus, Barbara Hayford, Riley Nielson and John Morse, and Boloroo Erdenee, Suvdtsetseg Chuluunbat and Oyunchuluun Yadamsuren from Mongolia, who were instrumental in getting the MAIS data sampled and identified. Coordinates of the bounding box (ulx, uly, lrx, lry): 87.94228, 50.78323, 112.55703, 46.09992 Centroid coordinates (x,y): 97.347314,48.588334 Number of records: 1850 The dataset includes records in areas: Not protected on the observation date (0) Protected on the observation date (1) Protected on a date following the observation date (2) using the November 2022 version of the Protected Planet WDPA WD-OECM dataset (Protected Planet: World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UNEP-WCMC and IUCN, 2022). Please see publication for further information. Freshwater Ecoregions of the World (FEOW, Abell et al., 2008) covered: 603,606,618,619,622 Taxonomic focus of the study: All benthic community Survey methods: Surber net and kick net
DOI: 10.25625/c7edjh/eli3oy
title: counts_raw_reads.tab

description: :unav
DOI: 10.25625/c7edjh/gdykcl
title: metadata_SP.csv

description: :unav
DOI: 10.25625/c7edjh
title: B11 - EFForTS-BEE bacteria 16S rRNA amplicon dataset

description: This dataset comprises of bacterial taxonomy profiling data derived from the subplots of the B11 experiment. The samples were taken in April/May 2017. The tables show all detected taxonomic Units based on 16S rRNA (v3-v4) sequencing data. The rawdata was cleaned and mapped against the SILVA database for taxonomic classification.
DOI: 10.18728/igb-fred-797.2
title: Odonata of Aoos basin in Greece

description: Odonata of Aoos basin in Greece Study site: Greece. Authors: Vassiliki Kati & Nikos Boukas. @ BCL (Biodiversity Conservation Lab). Boukas N., Kati V. 2021. Inventory of Odonata species in Aoos river basin in Greece. University of Ioannina. Funding by Pindos Perivallontiki (Mava Foundation). Contact details: Vassiliki Kati. E-mail: vkati@uoi.gr. ORCID: https:/orcid.org/0000-0003-3357-4556. Affiliation: University of Ioannina. Nikos Boukas. E-mail: bionickbukas@hotmail.com. Affiliation: University of Ioannina. Coordinates of the bounding box (ulx, uly, lrx, lry): 20.592151, 40.141668, 21.103546, 39.814292 Centroid coordinates (x,y): 20.836791,39.958305 Number of records: 180 The dataset includes records in areas: Not protected on the observation date (0) Protected on the observation date (1) using the November 2022 version of the Protected Planet WDPA WD-OECM dataset (Protected Planet: World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UNEP-WCMC and IUCN, 2022). Please see publication for further information. Freshwater Ecoregions of the World (FEOW, Abell et al., 2008) covered: 420 Taxonomic focus of the study: Odonata Survey methods: Hand nets, time constraint visits, transects
DOI: 10.18728/igb-fred-798.2
title: Odonata of South America

description: Odonata of South America Study site: South America. Authors: Marciel Elio Rodrigues. More accurate coordinates available upon communication with the authors. Contact details: Marciel Elio Rodrigues. E-mail: rodrigues.mbio@gmail.com. ORCID: https://orcid.org/0000-0001-8161-6234. Affiliation: Universidade Estadual de Santa Cruz-UESC. Coordinates of the bounding box (ulx, uly, lrx, lry): -57.83, -20.41, -55.56, -22.17 Centroid coordinates (x,y): -56.646671,-20.850083 Number of records: 724 The dataset includes records in areas: Not protected on the observation date (0) Protected on the observation date (1) using the November 2022 version of the Protected Planet WDPA WD-OECM dataset (Protected Planet: World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UNEP-WCMC and IUCN, 2022). Please see publication for further information. Freshwater Ecoregions of the World (FEOW, Abell et al., 2008) covered: 343 Taxonomic focus of the study: Odonata Survey methods: Entomological net
DOI: 10.25441/arts.21558912
title: Artivity data analysis

description: These datasets are summaries of data collected during the Artivity project by artist Gino Ballantyne and designer Peter Gander. Artivity was a pilot project attempting to document the way that digital artists use software during their practice. Artivity tracked the use of digital tools in creative applications such as the pen tool, the zoom tool etc. as well as online interactions. These datasets indicate the kind of analysis that can be done based on tracking the use of these tools. The data was used to develop a paper at the DPASSH conference 2017: https://ualresearchonline.arts.ac.uk/id/eprint/11173/ The artivity software is maintained here: https://artivity.io/ The project page is maintained by Ligatus: https://www.ligatus.org.uk/project/artivity The software was developed by Semiodesk (https://www.semiodesk.com/) in collaboration with Ligatus at UAL.
DOI: 10.25441/arts.21558912.v1
title: Artivity data analysis

description: These datasets are summaries of data collected during the Artivity project by artist Gino Ballantyne and designer Peter Gander. Artivity was a pilot project attempting to document the way that digital artists use software during their practice. Artivity tracked the use of digital tools in creative applications such as the pen tool, the zoom tool etc. as well as online interactions. These datasets indicate the kind of analysis that can be done based on tracking the use of these tools. The data was used to develop a paper at the DPASSH conference 2017: https://ualresearchonline.arts.ac.uk/id/eprint/11173/ The artivity software is maintained here: https://artivity.io/ The project page is maintained by Ligatus: https://www.ligatus.org.uk/project/artivity The software was developed by Semiodesk (https://www.semiodesk.com/) in collaboration with Ligatus at UAL.
DOI: 10.18728/igb-fred-799.2
title: Poyang Lake Region Macroinvertebrates

description: Poyang Lake Region Macroinvertebrates Study site: China. Authors: Mathias Kuemmerlen & Sonja Jähnig. Contact details: Mathias Kuemmerlen. E-mail: mathias@kuemmerlen.net. ORCID: https:/orcid.org/0000-0003-1362-3701. Affiliation: Bonn, Germany. Sonja C. Jähnig. E-mail: Sonja.Jaehnig@igb-berlin.de. ORCID: https:/orcid.org/0000-0002-6349-9561. Affiliation: Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) & Humboldt-Universität zu Berlin. Coordinates of the bounding box (ulx, uly, lrx, lry): 117.37406, 29.994012, 117.780841, 29.605819 Centroid coordinates (x,y): 117.576879,29.821199 Number of records: 1141 The dataset includes records in areas: Not protected on the observation date (0) using the November 2022 version of the Protected Planet WDPA WD-OECM dataset (Protected Planet: World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UNEP-WCMC and IUCN, 2022). Please see publication for further information. Freshwater Ecoregions of the World (FEOW, Abell et al., 2008) covered: 766 Taxonomic focus of the study: All macroinvertebrate community Survey methods: kick sample with hand net
DOI: 10.18728/igb-fred-800.4
title: Regional EPTO Data from Li river, Qiantang river, Ertix river, Wei river and Lancang river from NAU Insect Taxonomy and Aquatic Insect lab

description: Regional EPTO Data from Li river, Qiantang river, Ertix river, Wei river and Lancang river from NAU Insect Taxonomy and Aquatic Insect lab Study site: China. Authors: Beixin Wang & Kai Chen. Species names and sampling days available upon communication with the authors. Contact details: Beixin Wang. E-mail: wangbeixin@njau.edu.cn. ORCID: https://orcid.org/0000-0002-5253-8799. Affiliation: Nanjing Agricultural University. Kai Chen. E-mail: ckai2005@gmail.com. ORCID: https://orcid.org/0000-0002-5332-5920. Affiliation: Nanjing Agricultural University. Coordinates of the bounding box (ulx, uly, lrx, lry): 86.22106, 48.76785, 120.33455, 21.23354 Centroid coordinates (x,y): 107.520757,27.832533 Number of records: 3214 The dataset includes records in areas: Not protected on the observation date (0) Protected on the observation date (1) using the November 2022 version of the Protected Planet WDPA WD-OECM dataset (Protected Planet: World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UNEP-WCMC and IUCN, 2022). Please see publication for further information. Freshwater Ecoregions of the World (FEOW, Abell et al., 2008) covered: 603,636,726,763,766 Taxonomic focus of the study: All benthic community Survey methods: Surber net and/or D-frame kick or dip net
DOI: 10.18728/igb-fred-801.2
title: Stream invertebrates from New Zealand Astorga et al. 2014

description: Stream invertebrates from New Zealand Astorga et al. 2014 Study site: New Zealand. Authors: Russell Death & Anna Astorga. Data from 10.1002/ece3.1124. Contact details: Russell Death. E-mail: r.g.death@massey.ac.nz. ORCID: https:/orcid.org/0000-0001-8019-8448. Affiliation: School of Natural Sciences, Massey University. Coordinates of the bounding box (ulx, uly, lrx, lry): 167.384350961788, -35.1908946161776, 177.161847845164, -46.1227547167598 Centroid coordinates (x,y): 173.257158,-40.362662 Number of records: 1865 The dataset includes records in areas: Not protected on the observation date (0) Protected on the observation date (1) Protected on a date following the observation date (2) using the November 2022 version of the Protected Planet WDPA WD-OECM dataset (Protected Planet: World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UNEP-WCMC and IUCN, 2022). Please see publication for further information. Freshwater Ecoregions of the World (FEOW, Abell et al., 2008) covered: 811 Taxonomic focus of the study: Survey methods:
DOI: 10.6084/m9.figshare.21559101
title: Table 3.pdf

description: Table 3
DOI: 10.6084/m9.figshare.21559101.v1
title: Table 3.pdf

description: Table 3
DOI: 10.7910/dvn/mcw60q/njjuu7
title: minwage_out_15Jun2015.tab

description: :unav
DOI: 10.13012/b2idb-5215221_v1
title: Data for: Economic and Virtual Water Multilayer Networks in China

description: This dataset includes the blue water intensity by sector (41 industries and service sectors) for provinces in China, economic and virtual water network flow for China in 2017, and the corresponding network properties for these two networks.
DOI: 10.13012/b2idb-3231171_v1
title: Data for Foliage-roosting eastern red bats select for features associated with management in a central hardwood forest

description: Datasets that accompany Beilke, Haulton, and O'Keefe 2022 publication (Title: Foliage-roosting eastern red bats select for features associated with management in a central hardwood forest; Journal: Forest Ecology and Management).
DOI: 10.5066/p9xiklbm
title: Transboundary Aquifer Assessment Program-Geospatial and Tabular Datasets Used in the Compilation of Physiography, Geology, Hydrogeology, and Water Quality Data for the Fort Bliss, Dona Ana Range, McGregor Range, and White Sands Missile Range Area, Texas and New Mexico, 1905 to 2019

description: The Transboundary Aquifer Assessment Act was established to systematically assess priority aquifers along the U.S.-Mexico international boundary. The priority aquifers that were specified include the Hueco-Mesilla Bolsons aquifer in Texas and New Mexico and its counterpart in Mexico, the Conejos-M�danos Aquifer system, and the Santa Cruz and San Pedro aquifers in Arizona (Texas Water Development Board, 2019). The Transboundary Aquifer Assessment Program (TAAP) was started in 2009 and is a collaborative effort between the U.S. Geological Survey, Arizona Water Resources Research Center, New Mexico Water Resources Research Institute, and the Texas Water Resources Institute (U.S. Geological Survey, 2018) to better understand these aquifers. More information about TAAP can be found at the TAAP project website: https://webapps.usgs.gov/taap/. Fort Bliss and other associated military installations overly part of the Hueco-Mesilla Bolsons aquifer and rely on it for its water supply. This data release contains a geospatial database of available physiography, geology, hydrogeology, and water quality data for Fort Bliss and associated military installations and surrounding areas developed by the U.S. Geological Survey (USGS), in cooperation with U.S. Army at Fort Bliss, Texas. This data set is the result of a compilation of tabular and geospatial data digitally available from various enterprise database resources that warehouse environmental data such as, but not limited to, local, state, and federal water level and water quality data, elevation, land cover and land use, and geology.
DOI: 10.6084/m9.figshare.21523934
title: TreeS11 from Cryptic diversity impacts model selection and macroevolutionary inferences in diversification analyses

description: Species persist in landscapes through ecological dynamics but proliferate at wider spatial scales through evolutionary mechanisms. Disentangling the contribution of each dynamic is challenging, but the increasing use of dated molecular phylogenies opened new perspectives. First, the increasing use of DNA sequences in biodiversity inventory shed light on a substantial amount of cryptic diversity in species-rich ecosystems. Second, explicit diversification models accounting for various eco-evolutionary models are now available. Integrating both advances, we explored diversification trajectories among 10 lineages of freshwater fishes in Sundaland, for which time-calibrated and taxonomically rich phylogenies are available. By fitting diversification models to dated phylogenies and incorporating DNA-based species delimitation methods, the impact of cryptic diversity on diversification model selection and related inferences is explored. Eight clades display constant speciation rate model as the most likely if cryptic diversity is accounted, but nine display a signature of diversification slowdowns when cryptic diversity is ignored. Cryptic diversification occurs during the last 5 Myr for most groups, and palaeoecological models received little support. Most cryptic lineages display restricted range distribution, supporting geographical isolation across homogeneous landscapes as the main driver of diversification. These patterns question the persistence of cryptic diversity and its role during species proliferation.
DOI: 10.6084/m9.figshare.21523934.v1
title: TreeS11 from Cryptic diversity impacts model selection and macroevolutionary inferences in diversification analyses

description: Species persist in landscapes through ecological dynamics but proliferate at wider spatial scales through evolutionary mechanisms. Disentangling the contribution of each dynamic is challenging, but the increasing use of dated molecular phylogenies opened new perspectives. First, the increasing use of DNA sequences in biodiversity inventory shed light on a substantial amount of cryptic diversity in species-rich ecosystems. Second, explicit diversification models accounting for various eco-evolutionary models are now available. Integrating both advances, we explored diversification trajectories among 10 lineages of freshwater fishes in Sundaland, for which time-calibrated and taxonomically rich phylogenies are available. By fitting diversification models to dated phylogenies and incorporating DNA-based species delimitation methods, the impact of cryptic diversity on diversification model selection and related inferences is explored. Eight clades display constant speciation rate model as the most likely if cryptic diversity is accounted, but nine display a signature of diversification slowdowns when cryptic diversity is ignored. Cryptic diversification occurs during the last 5 Myr for most groups, and palaeoecological models received little support. Most cryptic lineages display restricted range distribution, supporting geographical isolation across homogeneous landscapes as the main driver of diversification. These patterns question the persistence of cryptic diversity and its role during species proliferation.
DOI: 10.6084/m9.figshare.21523937
title: TreeS2_MOTU_tree_Glyptothorax from Cryptic diversity impacts model selection and macroevolutionary inferences in diversification analyses

description: Species persist in landscapes through ecological dynamics but proliferate at wider spatial scales through evolutionary mechanisms. Disentangling the contribution of each dynamic is challenging, but the increasing use of dated molecular phylogenies opened new perspectives. First, the increasing use of DNA sequences in biodiversity inventory shed light on a substantial amount of cryptic diversity in species-rich ecosystems. Second, explicit diversification models accounting for various eco-evolutionary models are now available. Integrating both advances, we explored diversification trajectories among 10 lineages of freshwater fishes in Sundaland, for which time-calibrated and taxonomically rich phylogenies are available. By fitting diversification models to dated phylogenies and incorporating DNA-based species delimitation methods, the impact of cryptic diversity on diversification model selection and related inferences is explored. Eight clades display constant speciation rate model as the most likely if cryptic diversity is accounted, but nine display a signature of diversification slowdowns when cryptic diversity is ignored. Cryptic diversification occurs during the last 5 Myr for most groups, and palaeoecological models received little support. Most cryptic lineages display restricted range distribution, supporting geographical isolation across homogeneous landscapes as the main driver of diversification. These patterns question the persistence of cryptic diversity and its role during species proliferation.
DOI: 10.6084/m9.figshare.21523937.v1
title: TreeS2_MOTU_tree_Glyptothorax from Cryptic diversity impacts model selection and macroevolutionary inferences in diversification analyses

description: Species persist in landscapes through ecological dynamics but proliferate at wider spatial scales through evolutionary mechanisms. Disentangling the contribution of each dynamic is challenging, but the increasing use of dated molecular phylogenies opened new perspectives. First, the increasing use of DNA sequences in biodiversity inventory shed light on a substantial amount of cryptic diversity in species-rich ecosystems. Second, explicit diversification models accounting for various eco-evolutionary models are now available. Integrating both advances, we explored diversification trajectories among 10 lineages of freshwater fishes in Sundaland, for which time-calibrated and taxonomically rich phylogenies are available. By fitting diversification models to dated phylogenies and incorporating DNA-based species delimitation methods, the impact of cryptic diversity on diversification model selection and related inferences is explored. Eight clades display constant speciation rate model as the most likely if cryptic diversity is accounted, but nine display a signature of diversification slowdowns when cryptic diversity is ignored. Cryptic diversification occurs during the last 5 Myr for most groups, and palaeoecological models received little support. Most cryptic lineages display restricted range distribution, supporting geographical isolation across homogeneous landscapes as the main driver of diversification. These patterns question the persistence of cryptic diversity and its role during species proliferation.
DOI: 10.6084/m9.figshare.21523940
title: TreeS7_MOTU_tree_Rasborinae_CladeIII from Cryptic diversity impacts model selection and macroevolutionary inferences in diversification analyses

description: Species persist in landscapes through ecological dynamics but proliferate at wider spatial scales through evolutionary mechanisms. Disentangling the contribution of each dynamic is challenging, but the increasing use of dated molecular phylogenies opened new perspectives. First, the increasing use of DNA sequences in biodiversity inventory shed light on a substantial amount of cryptic diversity in species-rich ecosystems. Second, explicit diversification models accounting for various eco-evolutionary models are now available. Integrating both advances, we explored diversification trajectories among 10 lineages of freshwater fishes in Sundaland, for which time-calibrated and taxonomically rich phylogenies are available. By fitting diversification models to dated phylogenies and incorporating DNA-based species delimitation methods, the impact of cryptic diversity on diversification model selection and related inferences is explored. Eight clades display constant speciation rate model as the most likely if cryptic diversity is accounted, but nine display a signature of diversification slowdowns when cryptic diversity is ignored. Cryptic diversification occurs during the last 5 Myr for most groups, and palaeoecological models received little support. Most cryptic lineages display restricted range distribution, supporting geographical isolation across homogeneous landscapes as the main driver of diversification. These patterns question the persistence of cryptic diversity and its role during species proliferation.