cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7323947
title: Stereo-seq E12.5_E1S3 bin 200 expression matrix (dgC Matrix), spatial locations (.csv), and h5ad file (scanpy flavor)

description: Expression matrix in rds file format and spatial locations of E12.5_E1S3 downloaded from the Mouse Organogenesis Spatiotemporal Transcriptomic Atlas. Files were processed using an adapted version of the STOMICS Analysis Workflow (SAW) pipeline.
DOI: 10.5281/zenodo.7312095
title: Stereo-seq E12.5_E1S3 bin 200 expression matrix (dgC Matrix), spatial locations (.csv), and h5ad file (scanpy flavor)

description: Expression matrix in rds file format and spatial locations of E12.5_E1S3 downloaded from the Mouse Organogenesis Spatiotemporal Transcriptomic Atlas. Files were processed using an adapted version of the STOMICS Analysis Workflow (SAW) pipeline.
DOI: 10.18728/igb-fred-786.2
title: EPTO from Hubei province, China

description: EPTO from Hubei province, China Study site: China. Authors: Deep Narayan SHAH, Ram Devi Tachamo-Shah and Sonja C. Jähnig. Sampling days available upon communication with the authors. Contact details: Deep Narayan Shah. E-mail: dnshah@cdes.edu.np. ORCID: https://orcid.org/0000-0001-8436-7560. Affiliation: Central Department of Environmental Science, Tribhuvan University. Ram Devi Tachamo-Shah. E-mail: ramdevi.shah@ku.edu.np. ORCID: https://orcid.org/0000-0002-1061-2903. Affiliation: Department of Life Sciences, Kathmandu University. 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. Abundance information available after communication with the authors. Coordinates of the bounding box (ulx, uly, lrx, lry): 110.7373333333, 40.3630333333, 116.1921333333, 32.47255 Centroid coordinates (x,y): 112.395921,34.855022 Number of records: 446 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: 636,766 Taxonomic focus of the study: EPTO Survey methods: Miscellaneous
DOI: 10.18728/igb-fred-787.2
title: EPTO genera of France

description: EPTO genera of France Study site: France. Authors: Mathieu Floury & Kris Van Looy. Sampling days available upon communication with Mathieu Floury. Contact details: Mathieu Floury. E-mail: mathieu.floury@univ-lyon1.fr. ORCID: https:/orcid.org/0000-0002-4952-5807. Affiliation: 1) Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA, F-69622, Villeurbanne, France 2) Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany. Kris Van Looy. E-mail: kris.van-looy@irstea.fr. ORCID: https:/orcid.org/0000-0001-5436-2320. Affiliation: currently OVAM, Belgium. Coordinates of the bounding box (ulx, uly, lrx, lry): -4.52, 50.91, 9.49, 41.66 Centroid coordinates (x,y): 2.614735,46.238976 Number of records: 37329 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: 403,404,414,416 Taxonomic focus of the study: Benthic macroinvertebrates Survey methods: Surber net
DOI: 10.5281/zenodo.7322009
title: Dataset Literature Review Digital Forensic AND Reproducibility of Results

description: data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci "Digital Forensic" dan "Reproducibility of Results"
DOI: 10.5281/zenodo.7322008
title: Dataset Literature Review Digital Forensic AND Reproducibility of Results

description: data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci "Digital Forensic" dan "Reproducibility of Results"
DOI: 10.18728/igb-fred-788.2
title: EPTO in Chinese streams

description: EPTO in Chinese streams Study site: China. Authors: Fengzhi He & Qinghua Cai. Sampling days available upon communication with the authors. Contact details: Fengzhi He. E-mail: fengzhi.he@igb-berlin.de. ORCID: https:/orcid.org/0000-0002-7594-8205. Affiliation: Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB). Qinghua Cai. Affiliation: State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China. University of Chinese Academy of Sciences, Beijing, 100049, China. Coordinates of the bounding box (ulx, uly, lrx, lry): 99.4022777777778, 40.3630333333333, 117.7515, 25.460583 Centroid coordinates (x,y): 107.275222,29.383597 Number of records: 4062 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: 636,725,764-766 Taxonomic focus of the study: all benthic community Survey methods: Kick net, Surber net, aquatic D-net
DOI: 10.18728/igb-fred-789.2
title: EPTO of northwestern Spain

description: EPTO of northwestern Spain Study site: Spain. Authors: Jorge García-Girón, Camino Fernández Aláez & Francisco García-Criado Contact details: Jorge García-Girón. E-mail: jogarg@unileon.es. ORCID: https://orcid.org/0000-0003-0512-3088. Affiliation: Finnish Environment Institute / University of León. Francisco García-Criado. E-mail: fgarc@unileon.es. ORCID: https:/orcid.org/0000-0003-3419-7086. Affiliation: University of León. Camino Fernández Aláez. E-mail: mcfera@unileon.es. ORCID: https:/orcid.org/0000-0001-9385-1354. Affiliation: Department of Biodiversity and Environmental Management. Research Unit of Ecology. University of León. Coordinates of the bounding box (ulx, uly, lrx, lry): -6.85055555555556, 43.0455555555556, -1.156, 40.2172222222222 Centroid coordinates (x,y): -5.743924,42.22061 Number of records: 635 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: 412,414 Taxonomic focus of the study: Aquatic insects Survey methods: Multihabitat kick net sampling
DOI: 10.18728/igb-fred-790.2
title: IberArtro-TRICHOPTERA

description: IberArtro-TRICHOPTERA Study site: Iberian Peninsula. Authors: Núria Bonada & Raúl Acosta. Contact details: Raúl Acosta. E-mail: racosta@ub.edu. ORCID: https:/orcid.org/0000-0003-0923-8237. Affiliation: University of Barcelona. Núria Bonada. E-mail: bonada@ub.edu. ORCID: https:/orcid.org/0000-0002-2983-3335. Affiliation: University of Barcelona. Abundance information can be found upon communication with the authors. Coordinates of the bounding box (ulx, uly, lrx, lry): -17.79, 43.63, 3.99, 28.04 Centroid coordinates (x,y): -3.688279,40.780222 Number of records: 9240 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: 403,412-414,903,904 Taxonomic focus of the study: Trichoptera Survey methods: hand nets, kick nets, light traps
DOI: 10.5281/zenodo.7158823
title: Dataset for the paper "A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors"

description: The state identification problem seeks to identify power usage patterns of any system, like buildings or factories, of interest. In this challenge paper, we make power usage dataset available from 8 institutions in manufacturing, education and medical institutions from the US and India, and an initial unsupervised machine learning based solution as a baseline for the community to accelerate research in this area. Additional data for more days (from January-August 2022) for the same locations presented in our paper can be requested for research purposes by contacting the authors. Our GitHub repository - https://github.com/ai4society/PowerIoT-State-Identification If you are using this data, please cite, <pre>@inproceedings{midas-state-id, author = {Bharath C Muppasani and C J Anand and Chinmayi Appajigowda and Biplav Srivastava and Lokesh Johri}, title = {A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors}, booktitle = {Proc. Thirty-Fifth Annual Conference on Innovative Applications of Artificial Intelligence (AAAI/IAAI-23)}, year = {2023}, keywords = {Signal Processing (eess.SP), Artificial Intelligence (cs.AI), Machine Learning (cs.LG), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Computer and information sciences}, copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International} }</pre>
DOI: 10.5281/zenodo.7158822
title: Dataset for the paper "A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors"

description: The state identification problem seeks to identify power usage patterns of any system, like buildings or factories, of interest. In this challenge paper, we make power usage dataset available from 8 institutions in manufacturing, education and medical institutions from the US and India, and an initial unsupervised machine learning based solution as a baseline for the community to accelerate research in this area. Additional data for more days (from January-August 2022) for the same locations presented in our paper can be requested for research purposes by contacting the authors. Our GitHub repository - https://github.com/ai4society/PowerIoT-State-Identification If you are using this data, please cite, <pre>@inproceedings{midas-state-id, author = {Bharath C Muppasani and C J Anand and Chinmayi Appajigowda and Biplav Srivastava and Lokesh Johri}, title = {A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors}, booktitle = {Proc. Thirty-Fifth Annual Conference on Innovative Applications of Artificial Intelligence (AAAI/IAAI-23)}, year = {2023}, keywords = {Signal Processing (eess.SP), Artificial Intelligence (cs.AI), Machine Learning (cs.LG), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Computer and information sciences}, copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International} }</pre>
DOI: 10.18728/igb-fred-791.2
title: Macroinvertebrates from Cisnes and Aysen catchments, Chile

description: Macroinvertebrates from Cisnes and Aysen catchments, Chile Study site: Chile. Authors: Anna Astorga. Contact details: Anna Astorga. E-mail: aastorga78@gmail.com. ORCID: https:/orcid.org/0000-0003-4600-4384. Affiliation: Centro de Investigacion en Ecosistemas de la Patagonia. Coordinates of the bounding box (ulx, uly, lrx, lry): -72.787, -42.2579154968262, -71.411394893115, -45.6671246244179 Centroid coordinates (x,y): -72.28528,-44.503884 Number of records: 1037 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: 348 Taxonomic focus of the study: All benthic community Survey methods: Surber net and/or D-frame kick or dip net
DOI: 10.5281/zenodo.7323979
title: Structure prediction from SARS-CoV-2 accessory proteins ORF-6

description: Structure prediction made with Collabfold for SARS-CoV-2 accessory protein ORF-6. The archive contains both the structure and
DOI: 10.5281/zenodo.7323978
title: Structure prediction from SARS-CoV-2 accessory proteins ORF-6

description: Structure prediction made with Collabfold for SARS-CoV-2 accessory protein ORF-6. The archive contains both the structure and
DOI: 10.18728/igb-fred-792.2
title: Macroinvertebrates of North Central Nigeria

description: Macroinvertebrates of North Central Nigeria Study site: Nigeria. Authors: Unique N. Keke & Francis Arimoro. Contact details: Unique N. Keke. E-mail: uniquekkn@gmail.com. ORCID: https:/orcid.org/0000-0002-9528-0599. Affiliation: Federal University of Technology, Minna, Nigeria. Francis O. Arimoro. E-mail: francisarimoro@gmail.com. ORCID: https:/orcid.org/0000-0001-6100-4011. Affiliation: Federal University of Technology, Minna, Nigeria. Coordinates of the bounding box (ulx, uly, lrx, lry): 5.481931, 9.830515, 9.34975, 9.0003 Centroid coordinates (x,y): 6.40957,9.257828 Number of records: 768 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: 505 Taxonomic focus of the study: EPTO Survey methods: Hand net
DOI: 10.18728/igb-fred-793.2
title: Macroinvertebrates of Southern Nigeria (Niger Delta region)

description: Macroinvertebrates of Southern Nigeria (Niger Delta region) Study site: Nigeria. Authors: Unique N. Keke & Francis Arimoro. Contact details: Francis O. Arimoro. E-mail: francisarimoro@gmail.com. ORCID: https:/orcid.org/0000-0001-6100-4011. Affiliation: Federal University of Technology, Minna, Nigeria. Unique N. Keke. E-mail: uniquekkn@gmail.com. ORCID: https:/orcid.org/0000-0002-9528-0599. Affiliation: Federal University of Technology, Minna, Nigeria. Coordinates of the bounding box (ulx, uly, lrx, lry): 5.579166667, 7.118, 6.711, 5.438 Centroid coordinates (x,y): 6.214954,6.132589 Number of records: 4132 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: 505,506,517 Taxonomic focus of the study: EPTO Survey methods: Hand net
DOI: 10.5281/zenodo.7323984
title: Structure prediction from SARS-CoV-2 accessory proteins ORF-7B

description: Structure prediction made with Collabfold for SARS-CoV-2 accessory protein ORF-7B. The archive contains both the structure and the logs from the prediction.
DOI: 10.5281/zenodo.7323983
title: Structure prediction from SARS-CoV-2 accessory proteins ORF-7B

description: Structure prediction made with Collabfold for SARS-CoV-2 accessory protein ORF-7B. The archive contains both the structure and the logs from the prediction.
DOI: 10.34683/sr23
title: StoneRounds Case: SR23
title: Sorsby Fundus Dystrophy

description: StoneRounds Case SR23 was diagnosed with Sorsby Fundus Dystrophy likely caused by mutations in the gene: TIMP3.
DOI: 10.5281/zenodo.5504411
title: Dataset for Insect Lidar Supervised Classification

description: This repository contains the data used for our paper Detection of Insects in Class-imbalanced Lidar Field Measurements, which was published in and presented at the 2021 IEEE Machine Learning for Signal Processing conference. The code is archived on Zenodo at https://doi.org/10.5281/zenodo.5504408. The code can also be found on Github at https://github.com/BMW-lab-MSU/insect-lidar-supervised-classification/tree/mlsp-2021.
DOI: 10.5281/zenodo.7323999
title: Rutas de BTT en España en cada comunidad

description: <strong>El dataset se extrae en un fichero CSV para que sea más fácil de manipular y analizar y se centra en los datos más relevantes de cada ruta: localización, dificultad, descripción o popularidad. Se presentan ordenados y con gráficos que ayudan a visualizar la información de una manera más intuitiva y clara.</strong> <strong>Los datos se han obtenido a partir del scraping de la web https://rutasenbici.net que se centra en la planificación de itinerarios para BTT (bicicletas de montaña) si bien ofrece también un catálogo de accesorios para las mismas y un foro para compartir experiencias a los integrantes de la comunidad. </strong>
description: Según se explica la política de privacidad de la página, el autor permite realizar cualquier tipo de operación siempre y cuando sea únicamente con carácter privado, excluyendo toda actividad comercial salvo autorización previa del responsable de la web.
DOI: 10.5281/zenodo.7323998
title: Rutas de BTT en España en cada comunidad

description: <strong>El dataset se extrae en un fichero CSV para que sea más fácil de manipular y analizar y se centra en los datos más relevantes de cada ruta: localización, dificultad, descripción o popularidad. Se presentan ordenados y con gráficos que ayudan a visualizar la información de una manera más intuitiva y clara.</strong> <strong>Los datos se han obtenido a partir del scraping de la web https://rutasenbici.net que se centra en la planificación de itinerarios para BTT (bicicletas de montaña) si bien ofrece también un catálogo de accesorios para las mismas y un foro para compartir experiencias a los integrantes de la comunidad. </strong>
description: Según se explica la política de privacidad de la página, el autor permite realizar cualquier tipo de operación siempre y cuando sea únicamente con carácter privado, excluyendo toda actividad comercial salvo autorización previa del responsable de la web.
DOI: 10.5281/zenodo.5504410
title: Dataset for Insect Lidar Supervised Classification

description: This repository contains the data used for our paper Detection of Insects in Class-imbalanced Lidar Field Measurements, which was published in and presented at the 2021 IEEE Machine Learning for Signal Processing conference. The code is archived on Zenodo at https://doi.org/10.5281/zenodo.5504408. The code can also be found on Github at https://github.com/BMW-lab-MSU/insect-lidar-supervised-classification/tree/mlsp-2021.
DOI: 10.34740/kaggle/dsv/4517852
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.7323969
title: The refined annual 10-m wetland maps of Dongting Lake wetland during 2015~2021

description: The wetland maps include 8 wetland classes and 5 non-wetland classes, with a spatial resolution of 10m.
description: 需要说明目的或联系作者(dengyawen@mail.bnu.edu.cn) Please contact the author(dengyawen@mail.bnu.edu.cn)
DOI: 10.5281/zenodo.7323968
title: The refined annual 10-m wetland maps of Dongting Lake wetland during 2015~2021

description: The wetland maps include 8 wetland classes and 5 non-wetland classes, with a spatial resolution of 10m.
description: 需要说明目的或联系作者(dengyawen@mail.bnu.edu.cn) Please contact the author(dengyawen@mail.bnu.edu.cn)
DOI: 10.5066/p96qt04y
title: Database for the geologic map of the central San Juan caldera cluster, southwestern Colorado

description: This geodatabase contains all the geologic map information for the Geologic Map of the San Juan caldera cluster, southwestern Colorado and is part of U.S. Geological Survey Geologic Investigations Map Series I-2799. The San Juan Mountains are the largest erosional remnant of a composite volcanic field that covered much of the southern Rocky Mountains in middle Tertiary time. The San Juan field consists mainly of intermediate-composition lavas and breccias, erupted about 35-30 Ma from scattered central volcanoes (Conejos Formation) and overlain by voluminous ash-flow sheets erupted from caldera sources. In the central San Juan Mountains, eruption of at least 8,800 km3 of dacitic-rhyolitic magma as nine major ash flow sheets (individually 150-5,000 km3) was accompanied by recurrent caldera subsidence between 28.3 Ma and about 26.5 Ma. Voluminous andesitic-dacitic lavas and breccias were erupted from central volcanoes prior to the ash-flow eruptions, and similar lava eruptions continued within and adjacent to the calderas during the period of more silicic explosive volcanism. Exposed calderas vary in size from 10 to 75 km in maximum dimension, the largest calderas being associated with the most voluminous eruptions. The authors ask that users of the geologic map database cite both the database and the original report: Report: Lipman, P.W., 2006, Geologic map of the central San Juan Caldera cluster, southwestern Colorado: U.S. Geological Survey Geologic Investigations Series I-2799, scale 1:50,000, 34 p., https://doi.org/10.3133/i2799. Database: Joel. E Robinson, Nicole Thomas, Dillon R. Dutton, David W. Ramsey, Peter W. Lipman, and Tracey J. Felger, 2022, Database for the geologic map of the central San Juan caldera cluster, southwestern Colorado: U.S. Geological Survey, https://doi.org/10.5066/P96QT04Y.