cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11588/data/mfu6ev
title: Covariance resampling for particle filter -- state and parameter estimation for soil hydrology [dataset]

description: This repository contains the data for the paper
'Covariance resampling for particle filter -- state and parameter estimation for soil hydrology'. All plots contained in the paper can be reproduced using this data.
description: The zip-archive 'results.zip' contains eight HDF5 files. <br>

Files ending with '..._data.h5' contain the data of the synthetic truth: <br>
'measurement_positions': position [cm] of the measurements <br>
Following data have the time [s] in the first row: <br>
'measurement_stddevs': standard deviation of the measurements<br>
'measurements': actual measurements<br>
'true_state': true water content state<br>
'true_state_parameter': true values of the Mualem-van Genuchten parameters,
where the first pair is the decadic logarithm of the saturated conductivity function,
the second pair is the parameter n-1 and the third pair is alpha. <br> 


Files ending with '..._da_run.h5' contain the particle filter run,
where the data has the time [s] in the first row:<br>
'weights_prior': initial weights (equally weighted)<br>
'weights_forecast': weights after the forecast<br>
'weights_weighted': weights after updating with the measurements<br>
'weights_analysis': weights after resampling <br>

In the folder 'state' and 'state_parameter' is the temporal development 
of each ensemble member saved, including their mean.


<br>
<br>


The main run of the paper, used for the plots in section 4 & 5 is saved in:<br>
'resampling_main_data.h5'<br>
'resampling_main_da_run.h5'


The run without data assimilation (resampling is switched off) from the start is
saved in:
'free_run_da.h5'<br>


<br>
<br>


The particle filter runs with a model error used for the plots in section 6.2
are saved for the 10% bias in: <br>
'10_percent_bias_data.h5' <br>
'10_percent_bias_da_run.h5'


and for the 20% bias in:<br>
'20_percent_bias_data.h5' <br>
'20_percent_bias_da_run.h5'


<br>
<br>


Since the runs in section 6.1 and the supplementary are too large, the analyzed data is saved in:<br>
'seed_dependency_analysis.h5' <br>


Section 6.1:
The folders 'adaptivity_1_0', 'adaptivity_1_1', 'adaptivity_1_2' and 'adaptivity_1_3'
contain the ensemble members, mean and variance of the water content used for figure 10 in the paper.



Supplementary: The rest of the data in 'seed_dependency_analysis.h5 ' is part of
the supplementary. The mean parameter value at the last assimilation time step is saved for each parameter with the different realizations in x-direction and the
ensemble sizes in y-direction. <br>
The ensemble sizes are different for each factor of gamma:<br>
for gamma=1.0: from: 20 to 180 with stepsize 20<br>
              from: 200 to 600 with stepsize 50<br>
              from: 700 to 1000 with stepsize 50<br>
for gamma=1.1: from 20 to 300 with stepsize 20 <br>
for gamma=1.2: from 10 to 180 with stepsize 10<br>
for gamma=1.3: from 10 to 160 with stepsize 10 <br>
DOI: 10.11588/data/mfu6ev/slztsi
title: Results.zip

description: H5-Files
DOI: 10.11588/data/hb97my
title: Lauchheim II.2. Katalog der Gräber 301–600

description: Mit rund 1300 Gräbern aus dem Zeitraum vom späten 5. bis zum späten 7. Jahrhundert ist das Gräberfeld von Lauchheim 'Wasserfurche' (Ostalbkreis) bis heute der größte bekannte merowingerzeitliche Bestattungsplatz Süddeutschlands. In den Jahren 1986 bis 1996 wurde das fast vollständig erhaltene Gräberfeld großflächig ausgegraben. Seit 2009 widmete sich ein multidisziplinäres Forschungsprojekt der Dokumentation und Auswertung der Lauchheimer Gräber und Grabbeigaben. Dabei kamen in großem Maßstab innovative Dokumentationsmethoden mit dem Ziel einer möglichst vollständigen Datenerfassung zum Einsatz. Als Ergebnis dieses Projekts werden die Befunde und Funde aus Lauchheim in einem detaillierten Katalog mit umfangreichem Tafelteil vorgelegt und damit der weiteren wissenschaftlichen Auswertung zugänglich gemacht. Der vorliegende zweite von insgesamt vier Teilbänden des Katalogs umfasst die Gräber 301–600. Als Datensupplement werden Abbildungen der Perlen aus den Gräbern bereitgestellt. Die Abbildungen liegen als separate tif-Dateien sowie zusammengefasst in einer pdf-Datei vor. Die Dateinamen der einzelnen Bilddateien setzen sich aus der Grabnummer, der Objektnummer und einer Bildnummer zusammen.
DOI: 10.11588/data/hb97my/mkr163
title: Lauchheim_Perlen_Grab301-600.pdf

description: :unav
DOI: 10.11588/data/hb97my/u7o0dq
title: Lauchheim_Perlen_Grab301-600_tiff.zip

description: :unav
DOI: 10.11588/data/ss8cbf
title: Norms in the Lab: Inexperienced versus Experienced Participants

description: Using coordination games, we study whether social norm perception differs between inexperienced and experienced participants in economic laboratory experiments. We find substantial differences between the two groups, both regarding injunctive and descriptive social norms in the context of participation in lab experiments. By contrast, social norm perception for the context of daily life does not differ between the two groups. We therefore conclude that learning through experience is more important than selection effects for understanding differences between the two groups. We also conduct exploratory analyses on the relation between lab and field norms and find that behaving unsocial in an experiment is considered substantially more appropriate than in daily life. This appears inconsistent with the hypothesis that social preferences measured in lab experiments are inflated and indicates a distinction between revealed social preferences as measured commonly and the elicitation of normatively appropriate behavior.
DOI: 10.11588/data/clnrau
title: What makes up a reportable event in a language? Motion events as an important test domain in linguistic typology [Dataset]

description: Numerous cross-linguistic studies on motion events have been carried out in investigating the scope of the two-fold typology path versus manner (Talmy 1985; 2000) and its possible implications. This typological contrast is too narrow as it stands, however, to account for the diversity found within and across types. The present study is based on what can be termed a ‘process-oriented perspective’. It includes the analyses of all relevant conceptual domains notably the domain of temporality, in addition to space, and thus goes beyond previous studies. The languages studied differ typologically as follows: ‘path’ is typically expressed in the verb in French and Tunisian Arabic vs ‘manner of motion’ in English and German, while in the temporal domain ‘aspect’ is expressed in English and Tunisian Arabic but not in German and French. The study thus compares the representations which speakers construct when forming a reportable event as a response to video clips of a series of naturalistic scenes in which an entity moves through space. The analysis includes the following conceptual categories: (1) the privileged event ‘layer’ (manner versus path) which drives the selection of breakpoints for forming event units when processing the visual input, (2) the privileged category in spatial framing (figure-based/ground-based), and (3) viewpoint aspect (phasal decomposition or not). We assume that each of these three cognitive categories is shaped specifically by language structure (system and repertoire) and language use (frequency of constructions). The findings reveal systematic differences both across, as well as within, typologically-related languages with respect to (1) the basic event type encoded, (2) the changes in quality expressed, (3) the total number of path segments encoded per situation, and (4) the number of path segments packaged into one utterance. The findings reveal what can be termed language-specific default settings along each of the conceptual dimensions and their interrelations which function as ‘language specific attentional templates’.
DOI: 10.11588/data/ie8ccn
title: HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection

description: The number of known cuneiform tablets is assumed to be in the hundreds of thousands. A fraction has been published by printing photographs and manual tracings in books, which is collected by the online Cuneiform Digital Library Initiative (CDLI) catalog including some of these images and providing metadata for more than 100.000 tablets. While 3D-acquisition of tablets is the most modern way for their documentation, the number of 3D-datasets is relatively small and often not openly accessible. However, the Hilprecht Archive Online (HAO) provides 1977 high-resolution 3D scans of tablets under an Open Access license. While both the HAO and the CDLI are accessible publicly, large-scale machine learning and pattern recognition on cuneiform tablets remains elusive, because the data is only accessible by navigating web pages, the tablet identifiers between collections are inconsistent, and the 3D data is unprepared and challenging for automated processing. We enable large-scale analysis of cuneiform tablets by this HeiCuBeda for Hilprecht assembly, which is a cross-referenced benchmark dataset of processed cuneiform tablets: (i) frontally aligned 3D tablets with pre-computed high-dimensional surface features, (ii) six-views raster images for off-the-shelf image processing, and (iii) metadata, transcriptions, and transliterations, for a subset of 707 tablets, for learning alignment between 3D data, image and linguistic expression. This is the first dataset of its kind, and of its size, in cuneiform research. This benchmark dataset is prepared for ease-of-use and immediate availability for computational researches, lowering the barrier to experiment and apply standard methods of analysis. A script in Python is provided to retrieve and compute an updated JSON database of the CDLI’s metadata and raster images. Up-to-date code and meta-data are also available at &lt;a href="https://gitlab.com/fcgl/releases/-/tree/master/mara_icdar_2019"&gt;https://gitlab.com/fcgl/releases/-/tree/master/mara_icdar_2019&lt;/a&gt;.
description: GigaMesh Software Framework, 181100 to 190300
description: Hilprecht Sammlung, Jena, Germany, https://hilprecht.mpiwg-berlin.mpg.de/

Cuneiform Digital Library Initiative (CDLI)
https://cdli.ucla.edu/
description: Further Identifiers of the persons involved:


Hubert Mara: ORCID: https://orcid.org/0000-0002-2004-4153, Wikidata: https://www.wikidata.org/wiki/Q97924674
Bartosz Bogacz: ORCID: https://orcid.org/0000-0002-8323-5694, Wikidata: https://www.wikidata.org/wiki/Q102869220
Paul Victor Bayer: ORCID: https://orcid.org/0000-0003-1528-5531
DOI: 10.11588/data/ie8ccn/rtjrzs
title: HeiCuBeDa_B_Hilprecht_Database_240121.json

description: :unav
DOI: 10.11588/data/ie8ccn/z7witn
title: HeiCuBeDa_B_Scrape_CDLI_240121.py

description: :unav
DOI: 10.11588/data/csxyss
title: KGE Algorithms
title: Knowledge Graph Embeddings with Type Regularizer

description: &lt;p&gt; An updated method for link prediction that uses a regularization factor that models relation argument types&lt;/p&gt;

&lt;strong&gt;Abstract (Kotnis and Nastase, 2017):&lt;/strong&gt; &lt;/br&gt;
Learning relations based on evidence from knowledge repositories
relies on processing the available relation instances. Knowledge
repositories are not balanced in terms of relations or entities – there
are relations with less than 10 but also thousands of instances, and
entities involved in less than 10 but also thousands of relations.
Many relations, however, have clear domain and range, which we
hypothesize could help learn a better, more generalizing, model.
We include such information in the RESCAL model in the form
of a regularization factor added to the loss function that takes into
account the types (categories) of the entities that appear as arguments
to relations in the knowledge base. Tested on Freebase, a frequently
used benchmarking dataset for link/path predicting tasks, we note
increased performance compared to the baseline model in terms of
mean reciprocal rank and hits@N, N = 1, 3, 10. Furthermore, we
discover scenarios that significantly impact the effectiveness of the
type regularizer.
DOI: 10.11588/data/yyull2
title: Negative Sampling for Learning Knowledge Graph Embeddings
title: Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs

description: &lt;p&gt;Reimplementation of four KG factorization methods and six negative sampling methods.&lt;/p&gt;

&lt;strong&gt; Abstract &lt;/strong&gt; &lt;/p&gt;
Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective structure of the graph. This has inspired methods for the joint embedding of entities and relations in continuous low-dimensional vector spaces, that can be used to induce new edges in the graph, i.e., link prediction in knowledge graphs. Learning these representations relies on contrasting positive instances with negative ones. Knowledge graphs include only positive relation instances, leaving the door open for a variety of methods for selecting negative examples. In this paper we present an empirical study on the impact of negative sampling on the learned embeddings, assessed through the task of link prediction. We use state-of-the-art knowledge graph embeddings -- \rescal , TransE, DistMult and ComplEX -- and evaluate on benchmark datasets -- FB15k and WN18. We compare well known methods for negative sampling and additionally propose embedding based sampling methods. We note a marked difference in the impact of these sampling methods on the two datasets, with the "traditional" corrupting positives method leading to best results on WN18, while embedding based methods benefiting the task on FB15k.
DOI: 10.11588/data/3w7aqp
title: Opinion role extractor

description: System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text
DOI: 10.11588/data/umjxi0
title: ErKon3D - Quantifying Deformation in Aegean Sealing Practices [Dataset]

description: In Bronze Aegean society, seals played an important role by authenticating, securing and marking. The study of the seals and their engraved motifs provides valuable insight into the social and political organization and administration of Aegean societies. A key research question is the determination of authorship and origin. Given several sets of similar impressions with a wide geographical distribution on Crete, and even beyond the island, the question arises as to whether all of them originated from the same seal and thus the same seal user. Current archaeological practice focuses on manually and qualitatively distinguishing visual features. In this work, we quantitatively evaluate and highlight visual differences between sets of seal impressions, enabling archaeological research to focus on measurable differences. Our data are plasticine and latex casts of original seal impressions acquired with a structured-light 3D scanner. Surface curvature of 3D meshes is computed with Multi-Scale Integral Invariants (MSII) and rendered into 2D images. Then, visual feature descriptors are extracted and used in a two-stage registration process. A rough rigid fit is followed by non-rigid fine-tuning on basis of thin-plate splines (TPS). We compute and visualize all pairwise differences in a set of seal impressions, making outliers easily visible showing significantly different impressions. To validate our approach, we construct a-priori synthetic deformations between impressions that our method reverses. Our method and its parameters is evaluated on the resulting difference. For testing real-world applicability, we manufactured two sets of physical seal impressions, with a-priori known manufactured differences, against which our method is tested.
description: GigaMesh Software Framework
description: Hexagon OptoCAT
description: Further Identifiers of the persons involved:


Hubert Mara: ORCID: https://orcid.org/0000-0002-2004-4153, Wikidata: https://www.wikidata.org/wiki/Q97924674
Bartosz Bogacz: ORCID: https://orcid.org/0000-0002-8323-5694, Wikidata: https://www.wikidata.org/wiki/Q102869220
DOI: 10.11588/data/umjxi0/8v3p0u
title: 02_Experimental_Images_LCNS_2019.zip
DOI: 10.11588/data/umjxi0/moz6rn
title: 06_MSII_1_Volume.tar
DOI: 10.11588/data/umjxi0/n238ek
title: 05_PLYs_with_MSII.zip
DOI: 10.11588/data/umjxi0/nefjcl
title: 01_PLYs_CLEAN_ASCII.zip
DOI: 10.11588/data/umjxi0/ojefyg
title: 06_MSII_2_Surface.tar
DOI: 10.11588/data/umjxi0/xjyzxm
title: 03_Images_SolidColor.tar
DOI: 10.11588/data/umjxi0/ymbcwo
title: 04_Images_MSII_FtElMax.tar
DOI: 10.11588/data/vrjunv
title: Dissecting intratumor heterogeneity of nodal B cell lymphomas at transcriptional, genetic, and drug response levels
title: scRNA-seq in nodal B cell lymphoma

description: Tumour heterogeneity encompasses both the malignant cells and their microenvironment. While heterogeneity between individual patients is known to affect the efficacy of cancer therapy, most personalized treatment approaches do not account for intratumor heterogeneity. We addressed this issue by studying the heterogeneity of nodal B cell lymphoma by single cell RNA-sequencing and transcriptome-informed flow cytometry. We identified transcriptionally distinct malignant subpopulations and compared their drug response and genomic profiles. Malignant subpopulations of the same patient responded strikingly different to anti-cancer drugs ex vivo, which recapitulated subpopulation-specific drug sensitivity during in vivo treatment. Infiltrating T cells represented the majority of non-malignant cells, whose gene expression signatures were similar across all donors, whereas the frequencies of T cell subsets varied significantly between the donors. Our data provide insights into the heterogeneity of nodal B cell lymphoma and highlight the relevance of intratumor heterogeneity for personalized cancer therapy.
description: 10x data processed by CellRanger: sparse-matrix format with raw UMI counts. For detailed format description, see https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/output/matrices.
DOI: 10.15468/dl.ctnhy8
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Rhacophorus reinwardtii (Schlegel, 1840)"
 ]
}

 The dataset includes 240 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039362-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vjr37
title: Occurrence Download

description: A dataset containing 1972 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypericum elegans Steph. ex Willd."
 ]
}

 The dataset includes 1972 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026476-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e9cfr
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crassula barklyi N.E.Br."
 ]
}

 The dataset includes 69 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009784-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwwqe8
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypericum elodeoides Choisy"
 ]
}

 The dataset includes 523 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026478-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x10dkr
title: Occurrence Download

description: A dataset containing 1409 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Planktic foraminifera counts of sediment core AB000280"
 ]
}

 The dataset includes 1409 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010620-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx94p8
title: Occurrence Download

description: A dataset containing 63081 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fratercula cirrhata (Pallas, 1769)"
 ]
}

 The dataset includes 63081 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012794-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qg3hdp
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Blanfordimys afghanus (Thomas, 1912)"
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006202-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdstm4
title: Occurrence Download

description: A dataset containing 2304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-149.29 -8.41,-149.29 78.56,71.14 78.56,71.14 -8.41,-149.29 -8.41))",
 "DatasetKey is Naturalis Biodiversity Center (NL) - Cnidaria"
 ]
}

 The dataset includes 2304 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010620-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xz6nn
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 5.89080642547516",
 "DecimalLongitude is less than 5.89386597865955",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 34 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012783-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnqkf4
title: Occurrence Download

description: A dataset containing 7430 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gardenia jasminoides J.Ellis"
 ]
}

 The dataset includes 7430 records from 262 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006211-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.