cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4059315
title: Decoding myofibroblast origins in human kidney fibrosis

description: Data repository for the manuscript: Kuppe, Ibrahim et al. "Decoding myofibroblast origins in human kidney fibrosis", 2020. Please also consult the supplemental data in the paper, and the data availability statement in hte manuscript for raw FASTQ files for mouse data. For further data requests and questions, please contact Dr. Rafael Kramann (rkramann@ukaachen.de) File Details: - Human in vitro PDGFRb+ RNA-seq (bulk RNA-seq data for various NKD2 knock-out and knock-in clones)<br> * invitro_bulk_rnaseq.tar.gz: Salmon output for all samples. Please see the manuscript for further information. - UUO Mouse FACS sorted PDGFRa+/b+ ATAC-Seq<br> * mouse_uuo_pdgfrab_atacseq.bw: BigWig Signal file for ATAC-Seq data, PDGFRa+/b+ FACS sorted cells from day 10 UUO mouse kidneys (average of two biological replicates)<br> * mouse_uuo_pdgfrab_motifs.meme: Motifs identified based on the ATAC-Seq data and further analyzed in the paper - UUO and Sham Mouse FACS sorted PDGFRa+/b+ scRNA-seq (10x Genomics)<br> * Mouse_PDGFRab.tar.gz: contains the count data derived by Alevin/Salmon for the cells analyzed in the paper in matrix market format (.mtx). column data include cell cluster annotations. - UUO and Sham Mouse FACS sorted PDGFRb+ scRNA-seq (SmartSeq2)<br> * Mouse_PDGFRa.tar.gz: contains the expression data for the cells analyzed in the paper in matrix market format (.mtx). column data include cell cluster annotations. - Human FACS sorted CD10+ scRNA-seq (10x Genomics)<br> * Human_CD10plus.tar.gz: contains the count data derived by Alevin/Salmon for the cells analyzed in the paper in matrix market format (.mtx). column data include cell cluster annotations. - Human FACS sorted CD10- scRNA-seq (10x Genomics)<br> * Human_CD10minus.tar.gz: contains the count data derived by Alevin/Salmon for the cells analyzed in the paper in matrix market format (.mtx). column data include cell cluster annotations. - Human FACS sorted PDGFRb+ scRNA-seq (10x Genomics)<br> * Human_PDGFRb.tar.gz: contains the count data derived by Alevin/Salmon for the cells analyzed in the paper in matrix market format (.mtx). column data include cell cluster annotations.<br> * HumanPDGFRBpositive_Nkd2_grnboost2.csv: Gene Regulatory Network obtained by GRNboost2 on genes correlated with NKD2 in Fibroblast (Mesenchymal) cells. See manuscript for details.<br> * Human_PDGFRBplus_TFanalysis.tar.gz: TF analysis based on single cell RNA-seq for promoter and distal regions. See manuscript for details. - github_files.tar.gz: RData Objects associated with the paper code repository (https://github.com/mahmoudibrahim/KidneyMap)
DOI: 10.5281/zenodo.46822
title: The Cerdi-Seadistance Database

description: The database provides information on bilateral sea distances between any pair of countries; see Bertoli, S., M. Goujon, O. Santoni (2016), "The CERDI-seadistance database", CERDI Working Paper No. 2016/07 for a description of the methodology used to build the database. Paper available here : http://cerdi.org/production/show/id/1791/type_production_id/1

Update version available here : https://zenodo.org/record/240493
DOI: 10.5281/zenodo.8214061
title: UAVVaste dataset

description: The UAVVaste dataset consists to date of 772 images and 3718 annotations. The main motivation for the creation of the dataset was the lack of domain-specific data. Therefore, this image set is recommended for object detection evaluation benchmarking but also for developing solutions related to UAVs, remote sensing, or even environmental cleaning.
DOI: 10.5285/22b54764-2448-1318-e053-6c86abc01ae1
title: Multi-generational responses of an elevated pCO2 tolerant laboratory marine polychaete strain to low pCO2.

description: We currently lack a firm understanding of the multi-generational responses of marine metazoans to rapid changes in pCO2. Consequently, we reared a marine polychaete, Ophryotrocha labronica, previously cultured for ~33 generations under a low and variable pH regime, under elevated pCO2 and low pCO2 conditions for six generations. After this time, reciprocal transplants were performed between pCO2 treatments using F7 individuals. The strain used was found to be tolerant to elevated pCO2 conditions. In generation F1 and F2 female fecundity was significantly lower, 47.0% and 16.0% respectively, in the low pCO2 treatment. However, from generation F3 onwards there were no differences between pCO2 treatments, indicating that trans-generational effects enabled the maximization and maintenance of reproductive output. Whilst the initial fitness recovery was likely driven by trans-generational plasticity (TGP), the results from reciprocal transplant assays performed using F7 individuals made it difficult to disentangle between whether TGP had persisted across multiple generations or if evolutionary adaptation had occurred. Nonetheless, both are important mechanisms to persist under climate change. Overall, our study highlights the importance of using multi-generational studies to more accurately understand how populations of marine metazoans may respond to the rapid changes in pCO2 predicted to occur over the next century.
DOI: 10.5517/cc115kxp
title: CCDC 958672: Experimental Crystal Structure Determination

description: Related Article: O. Benaud, J. C. Berthet, P. Thuery, M. Ephritikhine|2013|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: 10.5517/cc14hdxy
title: CCDC 1057500: Experimental Crystal Structure Determination

description: Related Article: A. Herve, J. C. Berthet, P. Thuery, M. Ephritikhine|2015|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: 10.5517/ccpdrwp
title: CCDC 637883: Experimental Crystal Structure Determination

description: Related Article: F.R.Fronczek|2007|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: 10.15468/dl.gk9pw7
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anilios nema (Shea & Horner, 1997))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044653-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-67968
title: Redemption tidings, vol. 48, nos. 1-52, 6 Jan. - 28 Dec. 1972

description: [description english/roman)] Issued weekly.
DOI: 10.15468/dl.saunuu
title: Occurrence Download

description: A dataset containing 21855 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ara ararauna (Linnaeus, 1758)"
 ]
}

 The dataset includes 21855 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047440-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmdhd7
title: Occurrence Download

description: A dataset containing 1014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-118.3283083999999974 33.7393398999999974, -118.3283083999999974 33.7404432499999984, -118.3283083999999974 33.7426499399999997, -118.3283083999999974 33.7440541899999999, -118.3283083999999974 33.7465618000000021, -118.3283083999999974 33.7489690900000028, -118.3283083999999974 33.7507745699999973, -118.3283083999999974 33.7518779099999975, -118.3283083999999974 33.7539842999999991, -118.3256002699999954 33.7539842999999991, -118.3225912399999942 33.7539842999999991, -118.3202843199999990 33.7539842999999991, -118.3182783000000029 33.7539842999999991, -118.3182783000000029 33.7521788299999983, -118.3182783000000029 33.7504736599999973, -118.3182783000000029 33.7494706199999968, -118.3182783000000029 33.7474645300000020, -118.3182783000000029 33.7454584500000010, -118.3182783000000029 33.7429508499999997, -118.3182783000000029 33.7414462899999990, -118.3182783000000029 33.7393398999999974, -118.3197828200000004 33.7393398999999974, -118.3212873300000041 33.7393398999999974, -118.3235942499999993 33.7393398999999974, -118.3252993699999962 33.7393398999999974, -118.3283083999999974 33.7393398999999974))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 1014 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075098-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-67876
title: Redemption tidings, vol. 48, nos. 1-52, 6 Jan. - 28 Dec. 1972

description: [description english/roman)] Issued weekly.
DOI: 10.15468/dl.3xm6g8
title: Occurrence Download

description: A dataset containing 496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phelsuma modesta Mertens, 1970)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 496 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044656-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cautnh
title: Occurrence Download

description: A dataset containing 4041 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lutzomyia longipalpis (Lutz & Neiva, 1912)"
 ]
}

 The dataset includes 4041 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047434-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2a96kc
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Novaculops halsteadi (Randall & Lobel, 2003)"
 ]
}

 The dataset includes 46 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075055-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-69262
title: Redemption tidings, vol. 49, nos. 1-52, 4 Jan. - 27 Dec. 1973

description: [description english/roman)] Issued weekly.
DOI: 10.15468/dl.hfff6a
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cylindrophis isolepis Boulenger, 1896)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044659-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-65888
title: Redemption tidings, vol. 46, nos. 1-53, 1 Jan. - 31 Dec. 1970

description: [description english/roman)] Issued weekly.
DOI: 10.15468/dl.xfsw66
title: Occurrence Download

description: A dataset containing 975046 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NatureServe Network Species Occurrence Data"
 ]
}

 The dataset includes 975046 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041799-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-65840
title: Redemption tidings, vol. 46, nos. 1-53, 1 Jan. - 31 Dec. 1970

description: [description english/roman)] Issued weekly.
DOI: 10.48432/qikegd
title: LiDAR survey on 250 hectares in Jari , Amapá, Brazil, 2021.

description: The LiDAR data Jari region (JAR_A01_2021_LiDAR) refers to the survey carried out in Amapa state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.15468/dl.upbwkn
title: Occurrence Download

description: A dataset containing 2004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vipera latastei Bosca, 1878",
 "Year 1985-2024"
 ]
}

 The dataset includes 2004 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021074-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48432/ut9gog
title: LiDAR survey on 2400 hectares in São Sebastião do Uatumã, Amazonas, Brazil, 2021.

description: The LiDAR data ATTO tower (ATT_A01_2021_LiDAR) refers to the survey carried out in Amazonas state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/l08lkc
title: LiDAR survey on 995 hectares in Santarem, Pará, Brasil in 2016.

description: The LiDAR data Santarém I (ST1_A01_2016_LiDAR) refers to the survey carried out in Belterra, Placas and Rurópolis municipalities, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.ld. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/0r7ngz
title: LiDAR survey on 500 hectares in Jamari II, Rondônia, Brasil in 2011.

description: The LiDAR data Floresta Nacional do Jamari (JAM_A02_2011_LiDAR) refers to the survey carried out in the Jamari National Forest, Rondonia state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.15482/usda.adc/1524759
title: Dynamic Soil Properties for Soil Health projects-v2
DOI: 10.5281/zenodo.10729299
title: The Absolute Age of NGC3021

description: Differential reddening corrected HST ACS photometry, MC Parameters and MC isochrones used to estimate the absolute age of NGC3201.

The columns in the NGC3201_fitstars_DRCR.dat  file are:x   = star x position on the master framey   = star y position on the master framev   = F606W VEGA magi    = F814W VEGA magvi  = V-I VEGAmag

Detailed instruction to read MC parameters and MC isochrones can be found in the notebook: Instruction on reading NGC3201 isochrones.ipynb
DOI: 10.5281/zenodo.10729300
title: The Absolute Age of NGC3021

description: Differential reddening corrected HST ACS photometry, MC Parameters and MC isochrones used to estimate the absolute age of NGC3201.

The columns in the NGC3201_fitstars_DRCR.dat  file are:x   = star x position on the master framey   = star y position on the master framev   = F606W VEGA magi    = F814W VEGA magvi  = V-I VEGAmag

Detailed instruction to read MC parameters and MC isochrones can be found in the notebook: Instruction on reading NGC3201 isochrones.ipynb
DOI: 10.15468/dl.j4x7pb
title: Occurrence Download

description: A dataset containing 54363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Elevation 1007.0-9999.0m",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Michoacan, Jalisco, Estado de Mexico)",
 "Year 1969-2024"
 ]
}

 The dataset includes 54363 records from 292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021065-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11194438
title: ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation - Training Set - NanoVise part 2

description: @article{schieber2024asdf,  title={ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation},  author={Schieber, Hannah and Li, Shiyu and Corell, Niklas and Beckerle, Philipp and Kreimeier, Julian and Roth, Daniel},  journal={arXiv preprint arXiv:2403.16400},  year={2024}}
DOI: 10.5281/zenodo.11194439
title: ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation - Training Set - NanoVise part 2

description: @article{schieber2024asdf,  title={ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation},  author={Schieber, Hannah and Li, Shiyu and Corell, Niklas and Beckerle, Philipp and Kreimeier, Julian and Roth, Daniel},  journal={arXiv preprint arXiv:2403.16400},  year={2024}}
DOI: 10.5281/zenodo.10781247
title: Data set: Variations in water economy traits in two Sphagnum species across their distribution boundaries

description: Sphagnum trait data collected (2016-2017) across a climatic gradient in Sweden. Trait data for both shoot and canopy traits. Data for Sphagnum cuspidatum and Sphagnum lindbergii. Also contains data on species occurrence records in Sweden and output from speceis distribution modelling. See published paper for more information.

Files contain (i) processed data ("calculated_trait_data...cvs"), (ii) raw data ("Campbell_etal_clim_traits_...cvs"), (iii) their readme files, and (iv) R-scripts to run the analyses. Note that you need the files in the zip-file to run the analyses in the R-script. The zip-file contains all raw data (climate, traits, species occurences), MaxEnt output, and raster files from photogrammetry.

More info in paper: https://doi.org/10.1002/ajb2.16347
DOI: 10.5281/zenodo.10781248
title: Data set: Variations in water economy traits in two Sphagnum species across their distribution boundaries

description: Sphagnum trait data collected (2016-2017) across a climatic gradient in Sweden. Trait data for both shoot and canopy traits. Data for Sphagnum cuspidatum and Sphagnum lindbergii. Also contains data on species occurrence records in Sweden and output from speceis distribution modelling. See published paper for more information.

Files contain (i) processed data ("calculated_trait_data...cvs"), (ii) raw data ("Campbell_etal_clim_traits_...cvs"), (iii) their readme files, and (iv) R-scripts to run the analyses. Note that you need the files in the zip-file to run the analyses in the R-script. The zip-file contains all raw data (climate, traits, species occurences), MaxEnt output, and raster files from photogrammetry.

More info in paper: https://doi.org/10.1002/ajb2.16347
DOI: 10.48432/0wktsb
title: LiDAR survey on 995 hectares in Santarem II, Pará, Brasil in 2018.

description: The LiDAR data Santarém II (ST2_A01_2018_LiDAR) refers to the survey carried out in Belterra, Santarem and Placas municipalities, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."