cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1386/270
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DOI: 10.18419/darus-1386/281
title: crmeta-1.db

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DOI: 10.18419/darus-1386/310
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DOI: 10.18419/darus-1386/311
title: DSC09290.JPG

description: :unav
DOI: 10.5517/ccdc.csd.cc2d005m
title: CCDC 2204539: Experimental Crystal Structure Determination

description: Related Article: Yi Li, Lichao Ning, Qi Tang, Kexin Lan, Bingqian Yang, Qianchi Lin, Xiaoming Feng, Xiaohua Liu|2024|Chemical Science|15|11005|doi:10.1039/D4SC02201G
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: 10.18419/darus-1386/312
title: DSC09292.JPG

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DOI: 10.18419/darus-1386/313
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DOI: 10.18419/darus-1386/317
title: DSC09305.JPG

description: :unav
DOI: 10.5517/ccdc.csd.cc2f86rp
title: CCDC 2242222: Experimental Crystal Structure Determination

description: Related Article: Chao Zhang, Ting-wei Wang, Zu-jia Lu, Zhen-xin Yi, Bao-long Kuang, Shu Bu, Zhi-ming Xie, Yan Li, Kun Wang, Jian-Guo Zhang|2023|J.Phys.Chem.C|127|12923|doi:10.1021/acs.jpcc.3c02965
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: 10.18419/darus-1386/318
title: DSC09386.JPG

description: :unav
DOI: 10.5517/ccdc.csd.cc2ffk9r
title: CCDC 2247354: Experimental Crystal Structure Determination

description: Related Article: Han Wang, Shan-Shan Xun, Chang-Bin Yu, Yong-Gui Zhou|2024|Chemical Science|15|11038|doi:10.1039/D4SC01890G
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/ccdc.csd.cc2ffkbs
title: CCDC 2247355: Experimental Crystal Structure Determination

description: Related Article: Han Wang, Shan-Shan Xun, Chang-Bin Yu, Yong-Gui Zhou|2024|Chemical Science|15|11038|doi:10.1039/D4SC01890G
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: 10.18419/darus-1386/319
title: DSC09275.JPG

description: :unav
DOI: 10.18419/darus-1386/320
title: DSC09354.JPG

description: :unav
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description: :unav
DOI: 10.18419/darus-1386/326
title: DSC09304.JPG

description: :unav
DOI: 10.15468/dl.hq294c
title: Occurrence Download

description: A dataset containing 543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypertelis cerviana (L.) Thulin)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 543 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037459-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1386/327
title: DSC09266.JPG

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DOI: 10.18419/darus-1386/328
title: DSC09279.JPG

description: :unav
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title: DSC09388.JPG

description: :unav
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description: :unav
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description: :unav
DOI: 10.18419/darus-1386/332
title: DSC09319.JPG

description: :unav
DOI: 10.15468/dl.d4mphc
title: Occurrence Download

description: A dataset containing 705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Spondyliosoma cantharus (Linnaeus, 1758)",
 "Year 1901-2024"
 ]
}

 The dataset includes 705 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037460-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1386/333
title: DSC09404.JPG

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DOI: 10.18419/darus-1386/355
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DOI: 10.18419/darus-1386/357
title: DSC09316.JPG

description: :unav
DOI: 10.18419/darus-1386/358
title: model2.dat_rnd.dat

description: :unav
DOI: 10.18419/darus-1386/359
title: model6EAA9781C35B4537A060487495EB6DF112293.dat

description: :unav
DOI: 10.18419/darus-1386/360
title: colorNormalization0.dat

description: :unav
DOI: 10.18419/darus-1386/361
title: model93C8771207BE4FFF8D8FC0F07082411012291.dat

description: :unav
DOI: 10.18419/darus-1386/362
title: model0.dat_rnd.dat

description: :unav
DOI: 10.18419/darus-1386/363
title: model4280B96C9FE046398B853C67102C872A12293.dat

description: :unav
DOI: 10.18419/darus-1386/364
title: colorNormalization1.dat

description: :unav
DOI: 10.18419/darus-1386/365
title: model7178511273C24175A1876F67C2CFA5DE_tex0_1.dat

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DOI: 10.18419/darus-1386/366
title: modelB3DC112F94474C5BAFE4FCA9222D1E7E12293.dat

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DOI: 10.18419/darus-1386/367
title: model3725B7064EDF4D248CB93E7DBA07A53412293.dat

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DOI: 10.18419/darus-1386/368
title: metadata0.dat

description: :unav
DOI: 10.26050/wdcc/climava-sw
title: Climate data for adaptation and vulnerability assessments — southwest

description: Project: Climate data for adaptation and vulnerability assessments - The ClimAVA (https://climate.usu.edu/climava/) dataset provides high-resolution (4km), bias-corrected, downscaled future climate projections derived from 17 CMIP6 General Circulation Models. It includes three key variables — precipitation, minimum, and maximum temperature — for three Shared Socioeconomic Pathways (SSP245, SSP370, SSP585) on a daily scale. Employing the Spatial Pattern Interactions Downscaling (SPID) method, ClimAVA ensures high-quality downscaling using machine learning models. These models capture the relationship between spatial patterns at Global Circulation Model (GCM) resolution and fine-resolution pixel values. Essentially, a random forest model is trained for each pixel, using the finer reference data as a predictand and nine pixels from the spatially resampled (coarser) version of the reference data as predictors. These models are then utilized to downscale the bias-corrected GCM data. Results from this method have proven to maintain climate realism and greatly represent extreme events.
Summary: Climate data for adaptation and vulnerability assessments — southwest (ClimAVA-SW) provides bias-corrected, downscaled daily climatic data at ~4km spatial resolution from 17 CMIP6 GCMs, three different climatic variables (pr, tasmax, and tasmin), and three different shared socioeconomic pathways (SSP245, SSP370, and SSP585). Historical runs span from January 1, 1981, to December 31, 2014. Future scenarios span from January 1, 2015, to December 31, 2100. The ClimAVA-SW dataset encompasses the geopolitical boundaries of the six states in the southwestern United States: California, Nevada, Arizona, New Mexico, Utah, and Colorado, as well as watersheds that run into these states. Employing the Spatial Pattern Interactions Downscaling (SPID) method, ClimAVA ensures high-quality downscaling using machine learning models. These models capture the relationship between spatial patterns at Global Circulation Model (GCM) resolution and fine-resolution pixel values derived from the reference data (PRISM 4K). A random forest model is trained for each pixel, using the finer reference data as a predictand and nine pixels from the spatially resampled (coarser) version of the reference data as predictors. These models are then utilized to downscale the bias-corrected GCM data. Results from this method have proven to maintain climate realism and greatly represent extreme events.
DOI: 10.18419/darus-1386/369
title: model572F4D0F4CB0467CBFC3F0D8F899117C12291.dat

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DOI: 10.18419/darus-1386/370
title: model34FA5AD129C94B65973962AA9094F58612294.dat

description: :unav
DOI: 10.18419/darus-1386/371
title: model0.dat

description: :unav
DOI: 10.18419/darus-1386/372
title: sfm1.dat

description: :unav
DOI: 10.18419/darus-1386/373
title: model01844A3683D94F1AA15E737200F3A43A12293.dat

description: :unav
DOI: 10.18419/darus-1386/374
title: model1FB41ABCD8654CF69216CC500B6E16BA12291.dat

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DOI: 10.18419/darus-1386/375
title: model4C9C6394428C41C3B0BADCA74DEE6EDA12294.dat

description: :unav
DOI: 10.18419/darus-1386/376
title: model4.dat

description: :unav
DOI: 10.18419/darus-1386/377
title: model3.dat_rnd.dat

description: :unav
DOI: 10.18419/darus-1386/378
title: model8677E96D8032443DB1E1B14E1E91F1FF12291.dat

description: :unav
DOI: 10.18419/darus-1386/379
title: model85BE3868DFB543E0813E225401CED193_tex0_1.dat

description: :unav
DOI: 10.15468/dl.3xr4fc
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Argyrosomus regius (Asso, 1801)",
 "Year 1901-2024"
 ]
}

 The dataset includes 33 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037461-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1386/380
title: modelBDA5DBD487AF48B7BCC6D92795DBF6A112293.dat

description: :unav
DOI: 10.18419/darus-1386/381
title: model275C0CEABC9B4DEEA862A1944448057C12291.dat

description: :unav
DOI: 10.18419/darus-1386/382
title: model3535B09671B84E54BB34F97C5EB5A3EC12291.dat

description: :unav
DOI: 10.18419/darus-1386/383
title: model624144E7E02A4B1FAE6862B90DF833FA12291.dat

description: :unav
DOI: 10.18419/darus-1386/384
title: controlpoints0.dat

description: :unav
DOI: 10.18419/darus-1386/385
title: model85BE3868DFB543E0813E225401CED193_tex0_0.dat

description: :unav
DOI: 10.18419/darus-1386/386
title: model97DAA7A4BD534332B7F5BCA2B9D41D3C12291.dat

description: :unav
DOI: 10.18419/darus-1386/387
title: model2.dat

description: :unav
DOI: 10.18419/darus-1386/388
title: model3.dat

description: :unav
DOI: 10.18419/darus-1386/389
title: model51F027D9684845079203F08A2F4F33A612293.dat

description: :unav
DOI: 10.18419/darus-1386/390
title: model00B681259311444D806465A225AFED3912291.dat

description: :unav
DOI: 10.18419/darus-1386/391
title: metadata1.dat

description: :unav
DOI: 10.18419/darus-1386/392
title: model4.dat_rnd.dat

description: :unav
DOI: 10.18419/darus-1386/393
title: model1.dat_rnd.dat

description: :unav
DOI: 10.18419/darus-1386/394
title: model2314013E36964441BAC3D82CD5C6294A12293.dat

description: :unav
DOI: 10.18419/darus-1386/395
title: model669014C39272462E94CF1EC517A4F29912293.dat

description: :unav
DOI: 10.18419/darus-1386/396
title: model1.dat

description: :unav
DOI: 10.18419/darus-1386/397
title: model08B6BEE10E9640A0873B42D55B8409DA12293.dat

description: :unav
DOI: 10.18419/darus-1386/398
title: sfm0.dat

description: :unav
DOI: 10.18419/darus-1386/399
title: modelC7E325DCC1FC41A8AB5E80FF353189AA12291.dat

description: :unav
DOI: 10.18419/darus-1386/400
title: animation0.dat

description: :unav
DOI: 10.18419/darus-1386/401
title: entities0.dat

description: :unav
DOI: 10.18419/darus-1386/402
title: WK19-17-SingleComponent.las

description: :unav
DOI: 10.18419/darus-1386/403
title: WK19-17-SingleComponent.ply

description: :unav
DOI: 10.18419/darus-1386/404
title: WK19-17-SingleComponent.obj

description: :unav
DOI: 10.18419/darus-1386/405
title: WK19-17-SingleComponent.obj.rcInfo

description: :unav
DOI: 10.18419/darus-1386/406
title: WK19-17-SingleComponent.ply.rcInfo

description: :unav
DOI: 10.18419/darus-1386/407
title: WK19-17-SingleComponent_u0_v0.jpg

description: :unav
DOI: 10.18419/darus-1386/408
title: WK19-17-SingleComponent.mtl

description: :unav
DOI: 10.18419/darus-1386/409
title: WK19-17-SingleComponent.las.rcInfo

description: :unav
DOI: 10.18419/darus-1386
title: 3D Photogrammetric-Data for WK19-17(component)

description: Research data (*.las, *.ply and *.obj format) which was obtained by Photogrammetric/Computer Vision 3D digitization as well as original images which were the base for the 3D reconstruction process. Explanation about the 3D data format: Las (Is the normal data format for laser scanned point cloud data and also for photogrammetric 3D model.) Ply or Ply + jpg (The software RealityCapture encoded texture mesh in a single ply file while the software Agisoft metashape exported textured mesh in ply format + .jpg.) Obj + mtl + jpg (Obj stores a texture mesh together with mtl and jpg file. Obj file contains information of geometric vertices, texture vertices, vertex normal, polygon face element etc. The Mtl file defines the texture information of the faces. Mtl normally refers to a jpg for storing the actual texture.) Explanation about the mask image (if available): To avoid lots of background information in the 3D reconstruction process, well-aligned images to generate a rough model were applied. Afterwards a mask for each image could be calculated according to the 3D model. In the next step, original images together with the corresponding masks are applied to implement the reconstruction, which is free from the influence of the background information. This dataset is part of the digital gyroscope collection. For more information about the collection and its creation, please see the documentation dataset: Niklaus, Maria, 2021, "Information about the Gyrolog data repository", doi: 10.18419/darus-821, DaRUS.To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", doi: 10.18419/darus-gyrolog, DaRUS.
DOI: 10.18419/darus-1386/410
title: Single20200902.rcproj

description: :unav
DOI: 10.18419/darus-1083/1
title: DSC07175.JPG.mask.png

description: :unav
DOI: 10.18419/darus-1083/2
title: 00008383.JPG

description: :unav
DOI: 10.18419/darus-1083/3
title: 00008471.JPG

description: :unav
DOI: 10.18419/darus-1083/4
title: 00008492.JPG

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DOI: 10.18419/darus-1083/5
title: DSC07173.JPG

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DOI: 10.18419/darus-1083/6
title: 00008373.JPG

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DOI: 10.18419/darus-1083/7
title: 00008403.JPG

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DOI: 10.18419/darus-1083/8
title: 00008446.JPG

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DOI: 10.18419/darus-1083/9
title: DSC07177.JPG

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DOI: 10.18419/darus-1083/10
title: 00008331.JPG

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DOI: 10.18419/darus-1083/11
title: 00008248.JPG

description: :unav
DOI: 10.18419/darus-1083/12
title: DSC07172.JPG

description: :unav
DOI: 10.15468/dl.m5pfeh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mollugo flavescens subsp. gracillima (Andersson) Eliasson)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037462-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1083/13
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DOI: 10.5281/zenodo.12908803
title: dataset: Transporting Tenebrio molitor Eggs: The Effect of Temperature, Humidity and Time on the Hatch Rate
DOI: 10.5281/zenodo.12908804
title: dataset: Transporting Tenebrio molitor Eggs: The Effect of Temperature, Humidity and Time on the Hatch Rate
DOI: 10.18419/darus-1083/17
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