cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5765803
title: scMARK an 'MNIST' like benchmark to evaluate and optimize models for unifying scRNA data

description: Here we present a novel benchmark dataset (scMARK.v2), that consists of 11 published cancer scRNA-seq studies, for which we standardized cell-type author labels and gene identifiers. scMARK.v2 can be used to ask how well models integrate data from different scRNA studies. We also provide a 12th standardized study (Wu et al 2021) that we held-out for evaluation of alignment of data "never seen" before, and a 13th study of newly generated in-vitro scRNA-seq data from cancer and fibroblast cells. Data is provided as aData *h5ad files that can be read with Python's library Scanpy. Studies inclided in scMARK.v2 were downsampled to 10,000 cells per study. The difference between scMARK.v1 and scMARK.v2, is that in v2, we provide at least two studies for each cancer type and each cell type; whereas in v1 a handfull of cell types were present only in one study.
DOI: 10.5281/zenodo.5765804
title: scMARK an 'MNIST' like benchmark to evaluate and optimize models for unifying scRNA data

description: Here we present a novel benchmark dataset (scMARK), that consists of 100,000 cells and 10 studies and can be used to ask how well models integrate data from different scRNA studies. Data is provided as aData *h5ad files that can be read with Python's library Scanpy. File 10k_cells_per_study.tar.bz2 contains scMARK, with one *h5ad file for each of 10 studies, downsampled to 10,000 cells per study. File 2k_cell_per_study_10studies.tar.bz2 contains a single *h5ad file with all 10 studies, downsampled to 2,000 cells per study. The matrix of UMI counts contains the intersection of genes in all 10 studies.
DOI: 10.5281/zenodo.7795653
title: scMARK an 'MNIST' like benchmark to evaluate and optimize models for unifying scRNA data

description: Here we present a novel benchmark dataset (scMARK.v2), that consists of 11 published cancer scRNA-seq studies, for which we standardized cell-type author labels and gene identifiers. scMARK.v2 can be used to ask how well models integrate data from different scRNA studies. We also provide a 12th standardized study (Wu et al 2021) that we held-out for evaluation of alignment of data "never seen" before, and a 13th study of newly generated in-vitro scRNA-seq data from cancer and fibroblast cells. Data is provided as aData *h5ad files that can be read with Python's library Scanpy. Studies inclided in scMARK.v2 were downsampled to 10,000 cells per study. The difference between scMARK.v1 and scMARK.v2, is that in v2, we provide at least two studies for each cancer type and each cell type; whereas in v1 a handfull of cell types were present only in one study.
DOI: 10.48567/hrk3-4e76
title: AGO-4 Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/0bek-dr41
title: Baldrick Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/w8r5-kj88
title: Bear Peninsula Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/2z75-ke67
title: Byrd Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/hwwk-b178
title: Cape Bird Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/mpwm-jk92
title: Cape Denison Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/381n-7220
title: D-10 Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/4ed8-bq91
title: D-47 Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.5066/p9nnznvh
title: Metabarcode sequencing of aquatic environmental DNA from the Potomac River Watershed, 2015-2020

description: Biological indicator taxa have long been used for integrative assessments of water quality, particularly benthic invertebrate groups such as arthropods. While standardized protocols have been developed to calculate 'biological index' scores based on the abundances of these taxa, such systems are challenging to implement at large scales due to the sampling effort required, taxonomic expertise needed, and the need for repeated sampling to reliably discriminate sites. Many of the same taxa detected by traditional surveys can also be detected by genetic analysis of environmental DNA (eDNA), potentially allowing for an alternative formulation of biological indexes that might be faster and more economical to produce. The current data were produced to evaluate eDNA-derived biological indexes at sites within the Potomac River watershed of the eastern United States, specifically within units of the National Park Service for which previous biological assessment data were available. This data release consists of five files: 1. sample.metadata.txt, which contains sampling metadata and identifiers linking to sample-derived sequence data that has been deposited in the Sequence Read Archive of the National Center for Biotechnology Information (NCBI). This database is authoritative and comprehensive for sharing high-throughput sequence data produced with public funds. All accessions listed in the file can be searched to retrieve sample and sequence information at www.ncbi.nlm.nih.gov. 2. cox1.references.fasta, which contains reference sequences of the cytochrome c oxidase 1gene of arthropods (typically abbreviated cox1 or COI), identified from regional checklists. The file is a text file in FASTA format. 3. mt16S.references.fasta, which contains reference sequences of the mitochondrial 16S ribosomal RNA (mt16S) gene of arthropods identified from regional checklists. The file is a text file in FASTA format. 4. first.stage.counts.txt, which is a tab-delimited table of counts of sequences that are attributed to each taxon from each sample for the first stage of the study. Whether the taxon attribution is from the mt16S or cox1 locus is also indicated. 5. second.stage.counts.txt, which is a tab-delimited table of counts of sequences that are attributed to each taxon from each sample for the second stage of the study. Whether the taxon attribution is from the mt16S or cox1 locus is also indicated.
DOI: 10.48567/xpbf-q197
title: D-85 Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/qqd0-rg15
title: AGO-4 Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/s2wz-j115
title: Dome C II Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/t2ha-yq59
title: Baldrick Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/ww1m-s869
title: Dome Fuji Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/s2c4-gk74
title: Bear Peninsula Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/6cpv-we16
title: Elaine Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/mphx-ny47
title: Byrd Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/wtx6-jg71
title: Elizabeth Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/vayd-fq25
title: Cape Bird Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/m8my-4j27
title: Cape Denison Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/dses-3121
title: Emilia Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/j179-na69
title: Emma Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/2ng7-8m89
title: D-10 Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/k4e7-2j98
title: Erin Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/xj85-vz86
title: D-47 Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/c38w-bj43
title: D-85 Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/tydy-n524
title: Ferrell Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/1mw4-fp72
title: Dome C II Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/btjt-4k89
title: Gill Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/fpfa-e063
title: Dome Fuji Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/s5cy-ta16
title: Harry Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/8b9j-ct71
title: Elaine Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/wz2n-hs42
title: Henry Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.5281/zenodo.7795778
title: Dataset for the hVPS35 antibody screening study

description: This project contains the following underlying data included in a study aiming at characterizing antibodies for the hVPS35 protein. The study is available on Zenodo (https://doi.org/10.5281/zenodo.7671730).
DOI: 10.48567/nrq1-nd78
title: Elizabeth Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/khry-n631
title: JASE2007 Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.15468/dv4hew
title: A checklist of aquatic macroinvertebrates of Uganda

description: This dataset is checklist of aquatic macroinvertebrates of Uganda derived from occurrences
DOI: 10.48567/nn4t-ma11
title: Emilia Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/w2ay-nc66
title: Janet Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/d2jw-jf41
title: Emma Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/k7ej-2s84
title: Laurie II Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/aqx0-3343
title: Erin Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/6nzd-eg66
title: Lettau Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/mp4q-6b68
title: Ferrell Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/jabs-9944
title: Linda Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/nv62-rb20
title: Gill Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/vbcv-1993
title: Lorne Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/9pr9-bw06
title: Harry Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/592m-h149
title: Manuela Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/ajka-sy48
title: Henry Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/2vt6-k948
title: Marble Point Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/2pxv-j610
title: JASE2007 Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/pj3g-2a67
title: Marble Point II Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/qthq-dq08
title: Janet Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/jwh1-en21
title: Margaret Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/fr1y-vz25
title: Laurie II Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/jqjc-mb68
title: Marilyn Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/0b8n-zy72
title: Lettau Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/ggm8-q198
title: Linda Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/4pdk-be35
title: Minna Bluff Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/msv2-p342
title: Lorne Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/vj79-2a89
title: Mizuho Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/r12s-e855
title: Manuela Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/7sbv-1e40
title: Nico Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/9zp8-8r04
title: Marble Point Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/am1c-cf09
title: PANDA-South Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/fw0j-xt17
title: Marble Point II Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/tteb-ym88
title: Phoenix Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/r3wn-d542
title: Margaret Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/dr49-h071
title: Possession Island Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/jmd6-7262
title: Marilyn Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/dcdd-kb94
title: Relay Station Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/mk7t-9028
title: Minna Bluff Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/prkh-dm60
title: Sabrina Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/ekcp-0k68
title: Mizuho Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/d0m9-4c57
title: Schwerdtfeger Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/nayp-ev70
title: Nico Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/54zg-4015
title: Siple Dome Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/vx07-bj16
title: PANDA-South Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/rddj-0025
title: Thurston Island Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/by5z-9d80
title: Phoenix Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/tesn-k879
title: Possession Island Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/t83s-p803
title: Vito Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/m634-4b80
title: Relay Station Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/zpsz-0p30
title: White Island Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/mkbb-ab23
title: Sabrina Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/s6bt-fv45
title: Whitlock Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/7j21-vx90
title: Schwerdtfeger Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/kkak-1t68
title: Willie Field Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/e224-t020
title: Siple Dome Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/pbkg-g422
title: Windless Bight Automatic Weather Station, 2023 quality-controlled observational data.
DOI: 10.48567/ept3-vm89
title: Thurston Island Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/gf91-zh34
title: Vito Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/61pb-k317
title: White Island Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.7284/152987
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise NBP1310B using a SeaBird SBE-911+ instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152988
title: Multibeam Echosounder data collected during research cruise NBP1310B using a Kongsberg EM120 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.48567/wcv6-cq91
title: Whitlock Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/q1g6-2a82
title: Willie Field Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.48567/5vm1-mt17
title: Windless Bight Automatic Weather Station, 2023 Reader format three-hour observational data.
DOI: 10.58131/es1r-5y81/w6c5e2
title: Dataset Tabla

description: Probando Tabla
DOI: 10.58131/es1r-5y81/w6c5e2/uy66au
title: Fundamentos de programcion en Java-1.pdf

description: :unav
DOI: 10.21252/dspx-dk52
title: Geology Perceptions Survey Responses
DOI: 10.6084/m9.figshare.22065005.v1
title: Supplementary Data 1. Central androgen action reverses hypothalamic astrogliosis and atherogenic risk factors induced by orchiectomy and high-fat diet feeding in male mice. AJP-Endocrinology and Metabolism

description: Supplementary data 1. TRAP-seq data analysis.
DOI: 10.6084/m9.figshare.22065005
title: Supplementary Data 1

description: Dorfman MD et al, Supplementary data 1
DOI: 10.35078/p9pzch
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha | Município: Coqueiral

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5281/zenodo.7793384
title: Protein Function Embeddings: First Beta Release of Datasets

description: This release corresponds to the datasets generated from a thesis work that explores how information for protein functions can be exploited through embeddings so that the produced information can be used to improve protein function annotations. The underlying hypothesis here is that any pair of proteins with high sequence similarity will also share a similar biological function which would be reflected by the corresponding protein embeddings. The comparison and evaluation of this is done using two text-driven embedding approaches: Word2doc2Vec and Hybrid-Word2doc2Vec.
DOI: 10.5281/zenodo.7793383
title: Protein Function Embeddings: First Beta Release of Datasets

description: This release corresponds to the datasets generated from a thesis work that explores how information for protein functions can be exploited through embeddings so that the produced information can be used to improve protein function annotations. The underlying hypothesis here is that any pair of proteins with high sequence similarity will also share a similar biological function which would be reflected by the corresponding protein embeddings. The comparison and evaluation of this is done using two text-driven embedding approaches: Word2doc2Vec and Hybrid-Word2doc2Vec.
DOI: 10.35078/rlv0op
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha | Município: Conceição da Aparecida

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5517/ccdc.csd.cc29dwby
title: CCDC 2127540: Experimental Crystal Structure Determination

description: Related Article: wang wangzheng|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21227/g4e0-7d70
title: Horticulture recomendation system

description: Horticulture crop recommendation in saline soils
DOI: 10.5281/zenodo.7105052
title: Dataset associated with article: Self-sufficient seismic boxes for monitoring glacier seismology in Greenland

description: Dataset associated with article: Self-sufficient seismic boxes for monitoring glacier3 seismology in Greenland Contains:<br> - Seismic data of both SG-boxes and regular geophones from Gornergletscher fieldtest, 2021( Seismic_Data_Gorner_Fieldtest.zip) --&gt; SG-box data naming: GO"station_number"SG <br> --&gt;Geophone data naming: GO"station_number"GP<br> <br> - Weather data Gornergletscher fieldtest from Monte Rosa, Meteo Swiss Weather station ( Weather_data_Gorner_Fieldtest_2021.zip) --&gt; 1hr wind averages <br> --&gt; 1hr temperature averages<br> - MSR logger data from SG-boxes from Gornergletscher fieldtest, 2021. Every 5 min these log battery power, tilt (along three axes, temperature and humidity inside the box and light strength on two sides of the SG-box. ( MSR_logger_data_SGboxes_Gorner_Fieldtest.zip )<br> <br> - Seismic data of SG box (Sensor code BSM) next to weather station first acquisition Greenland 2021 ( Seismic_Data_SG_Box_first_acquisition_Greenland_2021.zip) <br> --&gt; .pri0 is North component, .pri1 is East component, .pri2 is Vertical component.<br> <br> - Weather data from weather station next to SG-box (sensor code BSM) during first acquisition Greenland 2021 ( Weather_station_data_Greenland_2021.zip) <br> --&gt; The weather station logs a value every two hours.