cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11588/data/hqw24w/gfekaf
title: e3_instructions.pdf

description: :unav
DOI: 10.11588/data/hqw24w/hqlehh
title: e1_dofile.do

description: :unav
DOI: 10.11588/data/hqw24w/k0p0zk
title: e2_dofile.do

description: :unav
DOI: 10.11588/data/hqw24w/nwcdj6
title: e1_fairness_models.xlsm

description: :unav
DOI: 10.11588/data/hqw24w/qjttdt
title: e1_data_csv.tab

description: :unav
DOI: 10.11588/data/hqw24w/s54kb6
title: e1_instructions.pdf

description: :unav
DOI: 10.11588/data/hqw24w/sng1t6
title: e2_instructions.pdf

description: :unav
DOI: 10.11588/data/hqw24w/tie1aw
title: e2_data_csv.tab

description: :unav
DOI: 10.11588/data/hqw24w/wr1b3y
title: e3_data_csv.tab

description: :unav
DOI: 10.11588/data/hqw24w/xjogxp
title: e1_data.tab

description: :unav
DOI: 10.11588/data/ucrwj4
title: HULC lab Tutorials

description: This archive provides data sets for the use in several tutorials/manuals on empirical research methods in Psycholinguistics/Cognitive Science created by members of the Heidelberg University Language & Cognition Lab.

We recommend to download respective files in the original format (comma separated vectors, "csv"), as most tutorials will have specified this file type.
DOI: 10.11588/data/ucrwj4/fszign
title: pseudo_et_data.tab

description: to be used with the R tutorial authored by Johannes Gerwien, Tamaki Ogura, and Franziska Arnold
DOI: 10.11588/data/ucrwj4/nhbjio
title: test_data.tab

description: to be used with the R tutorial authored by Johannes Gerwien, Tamaki Ogura, and Franziska Arnold
DOI: 10.11588/data/qxmss3
title: Ergänzungsmaterial zu: L’usage des ressources animales au Néolithique en Mittelelbe-Saale (Allemagne centrale): la faune des enceintes de Wallendorf « Hutberg » et Salzmünde « Schiepzig » dans leur contexte régional

description: Das Mittelelbe-Saale-Gebiet war zwischen 4200 und 2800 v. Chr. von verschiedenen frühbäuerlichen Kulturen besiedelt. Um die kulturelle Vielfalt und die Entwicklung der Tiernutzung zu erfassen, wurden die Faunenreste der zwei bedeutenden Fundplätze Wallendorf » Hutberg « und Salzmünde » Schiepzig « untersucht und mit 29 veröffentlichten Fundorten verglichen. Insgesamt wurden mehr als 33.000 Tierreste anhand archäozoologischer Methoden statistisch ausgewertet. Es zeigt sich, dass die Nahrungsmittelproduktion hauptsächlich auf der Viehzucht basierte und dass bestimmte Fundplätze eine Spezialisierung bei genutzten Tierarten und Tierprodukten aufwiesen. Darüber hinaus belegen symbolische Praktiken die besondere Wertschätzung bestimmter Tiere und somit eine einzigartige Beziehung zu den Menschen.
DOI: 10.11588/data/qxmss3/15ivqt
title: Hoeltkemeier_annexe-anhang.pdf

description: :unav
DOI: 10.11588/data/qxmss3/gydvod
title: Anhang 2.1.tab

description: :unav
DOI: 10.11588/data/qxmss3/jxwha4
title: Anhang 1.2.xlsx

description: :unav
DOI: 10.11588/data/qxmss3/l8sxit
title: Anhang 4.tab

description: :unav
DOI: 10.11588/data/qxmss3/lzsv99
title: Anhang 3.2.tab

description: :unav
DOI: 10.11588/data/qxmss3/qsprjw
title: Anhang 1.1.tab

description: :unav
DOI: 10.11588/data/qxmss3/syag8s
title: Anhang 2.2.tab

description: :unav
DOI: 10.11588/data/qxmss3/u2okvv
title: Anhang 3.1.tab

description: :unav
DOI: 10.11588/data/krpj9a
title: Image-based screening for stress granule regulators
title: Macro for the automated detection and quantification of stress granules

description: The supplied macro provides the opportunity to analyse large-scale image datasets, derived from image-based screening approaches. It can be used as a base for the segmentation of individual cells, referred as regions of interest (ROIs), and the detection and quantification of the stress granule (SG) response within those ROIs.
description: FIJI is just ImageJ, (Fiji Is Just) ImageJ 2.0.0-rc-69/1.53c
description: The macro for image analysis was written in "FIJI is just ImageJ"
DOI: 10.11588/data/krpj9a/tydsk2
title: ImageAnalysis_ScreenSGRegulators_IJmacro.txt

description: :unav
DOI: 10.11588/data/krpj9a/wprlcz
title: ImageAnalysis_ScreenSGRegulators_IJmacro.ijm

description: :unav
DOI: 10.11588/data/sqfwvk
title: Adaptive Framework for Long-term Sensory Home Training: a Feasibility Study [Data and Source Code]

description: This data and source code collection enables any user to reproduce the results of the feasibility study published in Silvoni et al. (2024). The access to the data.zip file can be granted upon a reasonable request to the licensor at the following e-mail: herta.flor@zi-mannheim.de (or stefano.silvoni@zi-mannheim.de).
The training datasets collected during the feasibility study can be read and analysed. The source code can be used to build the Android application which was used to collect the training data (an executable version of the application is also available). However, because it is based on specific and custom-built hardware devices, the reader is invited to contact the licensor for further details. For details concerning the datasets and the application, please, see the provided README.txt file.
The main aim of the feasibility study was to determine whether an adaptive framework based on operant learning principles and on brain-plasticity-based training programs is able to promote learning over a long period of time at home of the user, and whether indicators of learning can be derived from individual training data. The study represents the practicability of the methods which can form the bases to design training procedures engaging simple and complex abilities such as sensory perception, sensory integration, motor control and testing of complex psychometric functions.
DOI: 10.6084/m9.figshare.28295981
title: Replication Package TOSEM2025

description: This repository contains the replication package for the paper "Securing the Foundation of AI： Securing the Foundation of AI: A Deep Dive into Dependency Management and Security in Deep Learning Frameworks".
DOI: 10.6084/m9.figshare.28295981.v1
title: Replication Package TOSEM2025

description: This repository contains the replication package for the paper "Securing the Foundation of AI： Securing the Foundation of AI: A Deep Dive into Dependency Management and Security in Deep Learning Frameworks".
DOI: 10.11588/data/uysaa5/12sjfd
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/2n0otj
title: context_indicators.py

description: :unav
DOI: 10.11588/data/uysaa5/3vrhci
title: __init__.py

description: :unav
DOI: 10.11588/data/uysaa5/7mfsgq
title: greenness_imagery.py

description: :unav
DOI: 10.11588/data/uysaa5/8evuaa
title: dresden_public.geojson

description: :unav
DOI: 10.11588/data/uysaa5/9zlltc
title: dresden_ndvi_s2.tif

description: :unav
DOI: 10.11588/data/uysaa5/afikpt
title: landusepolygon_samples.geojson

description: :unav
DOI: 10.11588/data/uysaa5/atqsfc
title: 02_Greenness_Fusion_and_Validation.ipynb

description: :unav
DOI: 10.11588/data/uysaa5/b81xwf
title: dresden_green_s2.tab

description: :unav
DOI: 10.11588/data/uysaa5/dmxzuu
title: environment_versions.yml

description: :unav
DOI: 10.11588/data/uysaa5/e7l8fl
title: deviation_belief_6.pdf

description: :unav
DOI: 10.11588/data/uysaa5/emeedw
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/f4ktdt
title: __init__.py

description: :unav
DOI: 10.11588/data/uysaa5/fdygjx
title: clients.py

description: :unav
DOI: 10.11588/data/uysaa5/g3rq6d
title: diff_green_grey.geojson

description: :unav
DOI: 10.11588/data/uysaa5/hdourw
title: greenness_osm.py

description: :unav
DOI: 10.11588/data/uysaa5/heofe1
title: dresden_green_vhr.tab

description: :unav
DOI: 10.11588/data/uysaa5/hvjmgz
title: environment.yml

description: :unav
DOI: 10.11588/data/uysaa5/ih7ydy
title: dresden_public.tab

description: :unav
DOI: 10.11588/data/uysaa5/j8q6xr
title: green_bpa.pdf

description: :unav
DOI: 10.11588/data/uysaa5/jdhexh
title: dresden_green_osm.tab

description: :unav
DOI: 10.11588/data/uysaa5/juzkej
title: dresden_context_indicators.geojson

description: :unav
DOI: 10.11588/data/uysaa5/kfgymy
title: config.json

description: :unav
DOI: 10.11588/data/uysaa5/kidcu4
title: 04_Green_Public_Fusion.ipynb

description: :unav
DOI: 10.11588/data/uysaa5/kpuuwj
title: exceptions.py

description: :unav
DOI: 10.11588/data/uysaa5/mbftmr
title: general.py

description: :unav
DOI: 10.11588/data/uysaa5/mfhjn4
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/mrwpdx
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/n7um4m
title: environment_all_versions.yml

description: :unav
DOI: 10.11588/data/uysaa5/ohox6w
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/oporxh
title: 01_Greenness_Basic_Probability_Assignment.ipynb

description: :unav
DOI: 10.11588/data/uysaa5/rdpg9f
title: landuse_polygons.geojson

description: :unav
DOI: 10.11588/data/uysaa5/so6nix
title: __init__.py

description: :unav
DOI: 10.11588/data/uysaa5/svfkqv
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/t43ocz
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/t6uksg
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/twkwmo
title: 03_Public_Accessibility_Model.ipynb

description: :unav
DOI: 10.11588/data/uysaa5/venjds
title: dresden_sentinel2_scenes.json

description: :unav
DOI: 10.11588/data/uysaa5/vkh506
title: geom_ops.py

description: :unav
DOI: 10.11588/data/uysaa5/vrvlkm
title: dresden_public_green_spaces.geojson

description: :unav
DOI: 10.11588/data/uysaa5/vsajne
title: __init__.py

description: :unav
DOI: 10.11588/data/uysaa5/wkp9ql
title: conflict.geojson

description: :unav
DOI: 10.11588/data/uysaa5/wmyxxb
title: dresden_greenness_osm_tags.tab

description: :unav
DOI: 10.11588/data/uysaa5/wslpuo
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/wtwrnb
title: __init__.py

description: :unav
DOI: 10.11588/data/uysaa5/xeyp70
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/xjsfkm
title: main.py

description: :unav
DOI: 10.11588/data/uysaa5/xuiqjo
title: accuracy_vs_uncertainty.pdf

description: :unav
DOI: 10.11588/data/uysaa5/yfspmb
title: dresden_green_s2_osm.tab

description: :unav
DOI: 10.11588/data/uysaa5/0tw5ch
title: ndvi_sentinel2_samples.txt.gz

description: :unav
DOI: 10.11588/data/uysaa5/1apleb
title: test_ndvi_s2.tif

description: :unav
DOI: 10.11588/data/uysaa5/7ymqwl
title: osm_green_grass.tab

description: :unav
DOI: 10.11588/data/uysaa5/aeygl9
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/baizw6
title: public_green_belief_detail.pdf

description: :unav
DOI: 10.11588/data/uysaa5/bcxgui
title: public_forestplot_alpha.pdf

description: :unav
DOI: 10.11588/data/uysaa5/bnp6ss
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/cco8k8
title: public_bpa.pdf

description: :unav
DOI: 10.11588/data/uysaa5/ckjtzp
title: ndvi_aerial_samples.txt.gz

description: :unav
DOI: 10.11588/data/uysaa5/cxqbak
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/enf65n
title: README.md

description: :unav
DOI: 10.11588/data/uysaa5/fkndxh
title: project_utils.py

description: :unav
DOI: 10.11588/data/uysaa5/gptibm
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/hrz6ct
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/ikvstj
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/jqg1df
title: public_green_space_map.jpg

description: :unav
DOI: 10.11588/data/uysaa5/kmynne
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/l6znup
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/masjv8
title: public_compareplot.pdf

description: :unav
DOI: 10.11588/data/uysaa5/mivq8a
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/n1uvb9
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/pjimpd
title: response.py

description: :unav
DOI: 10.11588/data/uysaa5/rdogtj
title: s2_osm_green_grass.tab

description: :unav
DOI: 10.11588/data/uysaa5/rm03pc
title: vhr_green_grass.tab

description: :unav
DOI: 10.11588/data/uysaa5/ry2zai
title: test_context_indicators.geojson

description: :unav
DOI: 10.11588/data/uysaa5/ryovup
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/rzpuwz
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/sqdf11
title: ndvi_vhr_samples.txt.gz

description: :unav
DOI: 10.11588/data/uysaa5/syqqti
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/tiqpwz
title: test_sentinel2_scenes.json

description: :unav
DOI: 10.11588/data/uysaa5/tmyvwj
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/tqvq0h
title: metadata.json

description: :unav
DOI: 10.11588/data/uysaa5/wo5w2j
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/wupjhi
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/x9auee
title: ndvi_s2.py

description: :unav
DOI: 10.11588/data/uysaa5/zzne8h
title: osm_tag_greenness.pdf

description: :unav
DOI: 10.11588/data/uysaa5/zzyoai
title: test_green_osm.tab

description: :unav
DOI: 10.11588/data/7iwypf/0ckuxv
title: 04bc_full analyses.r

description: :unav
DOI: 10.11588/data/7iwypf/a2kmsb
title: data.tab

description: :unav
DOI: 10.11588/data/7iwypf/caccgv
title: 02a_covariates.R

description: :unav
DOI: 10.11588/data/7iwypf/ds3ota
title: 03a_main analyses.R

description: :unav
DOI: 10.11588/data/7iwypf/ovzy5f
title: 00_graph cortisol.R

description: :unav
DOI: 10.11588/data/7iwypf/vq979y
title: data updated.csv

description: :unav
DOI: 10.11588/data/7iwypf/xeiiog
title: 01a_data cleaning.r

description: :unav
DOI: 10.11588/data/uysaa5
title: Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code

description: Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its spatial resolution of 10 meters fails to capture fine-grained urban structures, while in OSM green spaces are not mapped consistently and with the same level of completeness everywhere. To address these limitations we propose to fuse these data sets under explicit consideration of their uncertainties. The Sentinel-2 derived Normalized Difference Vegetation Index was fused with OSM data using the Dempster-Shafer theory to enhance the detection of small vegetated areas. The distinction between public and private green spaces was achieved using a Bayesian hierarchical model and OSM data. The analysis was performed based on land use parcels derived from OSM data and tested for the city of Dresden, Germany. The overall accuracy of the final map of public urban green spaces was 95\%, which was mainly influenced by the uncertainty of the public accessibility model.
DOI: 10.11588/data/uysaa5/3vb9hr
title: test_greenness_osm_tags.tab

description: :unav
DOI: 10.11588/data/uysaa5/6pte39
title: utils.py

description: :unav
DOI: 10.11588/data/uysaa5/hkhdkq
title: test_utils.py

description: :unav
DOI: 10.11588/data/uysaa5/jkcgj3
title: test_green_s2.tab

description: :unav
DOI: 10.11588/data/uysaa5/kfastd
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/l86xgp
title: test_green_vhr.tab

description: :unav
DOI: 10.11588/data/uysaa5/qvbj6a
title: test_client.py

description: :unav
DOI: 10.11588/data/uysaa5/rqoaqf
title: utils.py

description: :unav
DOI: 10.11588/data/uysaa5/rvi1d8
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/v8gipt
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/wb13tv
title: samples.npz

description: :unav
DOI: 10.11588/data/uysaa5/y7k9gm
title: samples.npz

description: :unav
DOI: 10.11588/data/y8ueoy/hozfij
title: PostCueData.zip

description: :unav
DOI: 10.11588/data/7iwypf
title: How to assess and interpret everyday life salivary cortisol measures: A tutorial on practical and statistical considerations [Research Data]

description: The data and scripts accompany the following manuscript: "How to assess and interpret everyday life salivary cortisol measures: A tutorial on practical and statistical considerations". To use the data with the R scripts, we recommend downloading them in their original file format (.csv).
DOI: 10.11588/data/7iwypf/6wmyna
title: README licence information and citations for R packages used.txt

description: :unav
DOI: 10.11588/data/7iwypf/ckxsyt
title: 00a_read in and prepare.r

description: :unav
DOI: 10.11588/data/y8ueoy
title: Auditory cortex activity related to perceptual awareness versus masking of tone sequences [research data]

description: ABSTRACT: Sequences of repeating tones can be masked by other tones of different frequency. When these tone sequences are perceived, nevertheless, a prominent neural response in the auditory cortex is evoked by each tone of the sequence. When the targets are detected based on their isochrony, participants know that they are listening to the target once they detected it. To explore if the neural activity is more closely related to this detection task or to perceptual awareness, this magnetoencephalography (MEG) study used targets that could only be identified with cues provided after or before the masked target. In experiment 1, multiple mono-tone streams with jittered inter-stimulus interval were used, and the tone frequency of the target was indicated by a cue. Results showed no differential auditory cortex activity between hit and miss trials with post-stimulus cues. A late negative response for hit trials was only observed for pre-stimulus cues, suggesting a task-related component. Since experiment 1 provided no evidence for a link of a difference response with tone awareness, experiment 2 was planned to probe if detection of tone streams was linked to a difference response in auditory cortex. Random-tone sequences were presented in the presence of a multi-tone masker, and the sequence was repeated without masker thereafter. Results showed a prominent difference wave for hit compared to miss trials in experiment 2 evoked by targets in the presence of the masker. These results suggest that perceptual awareness of tone streams is linked to neural activity in auditory cortex.

COMMENT: The data set comprises the single-subject source waveforms derived with dipole source analysis. The ascii files were written with BESA (.swf = source waveform file). The matlab code reads in the data for further analysis and to calculate the grand average source waveforms shown in the paper. The .html files represent the output of the statistical analysis of the average amplitudes in the source waveforms (SAS).
DOI: 10.48677/4e76aa58-eb7e-438c-91b0-fb71bdfa9baa
title: Flugortungskarte 2009

description: Zu einem wichtigen Bestandteil des Luftbildarchivs des BEV zählen die Flugortungskarten, die zum Auffinden der für ein Interessensgebiet notwendigen Messungsaufnahmen dienen.
Flugortungskarten sind Übersichten, die je Flugoperat erstellt werden und das jeweils beflogene Gebiet abbilden. Es wird die Lage der geflogenen Flugstreifen sowie die Bildmittenpunkte der Messungsaufnahmen dargestellt. Weiters werden die wesentlichen Informationen des Bildfluges (Flugtitel, Archivnummer, Brennweite, Flugdatum, Bildmaßstab, Filmtyp, Längs- sowie Querüberdeckung) angeführt.

Flugortungskarten stehen im Luftbildarchiv des BEV zu jedem Bildflug seit 1949 zur Verfügung.
DOI: 10.11588/data/lmmxai
title: Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]

description: Research Data and Source Code associated with the related publication.
DOI: 10.11588/data/lmmxai/2qyvhp
title: Figure_3-SM1-S9_raw_images.zip
DOI: 10.11588/data/lmmxai/3meg08
title: Figure_S2_complete_ESI_series.zip
DOI: 10.11588/data/lmmxai/48fdob
title: Figure_S3-S4_spectra.zip
DOI: 10.11588/data/lmmxai/6mz9nj
title: Figure_4_tilt_series_raw_images.zip
DOI: 10.11588/data/lmmxai/bkuoxe
title: Figure_5_processed_images.zip
DOI: 10.11588/data/lmmxai/dhol3l
title: Figure_S8_processed_images.zip
DOI: 10.11588/data/lmmxai/eim1wg
title: Figure_S8_raw_images.zip
DOI: 10.11588/data/lmmxai/gqg1pd
title: Scripts.zip
DOI: 10.11588/data/lmmxai/k9cui8
title: Figure_S7_raw_images.zip
DOI: 10.11588/data/lmmxai/l22rye
title: Figure_1-S1_processed_images_and_data.zip
DOI: 10.11588/data/lmmxai/majp8w
title: Figure_2-S4_spectra.zip
DOI: 10.11588/data/lmmxai/oxnxf4
title: Figure_3-SM1-S9_processed_images.zip
DOI: 10.11588/data/lmmxai/pakmpp
title: Figure_S5_processed_images.zip
DOI: 10.11588/data/lmmxai/pu1dip
title: Figure_1_S1_raw_images.zip
DOI: 10.11588/data/lmmxai/qet3ho
title: Figure_4_tilt_series_and_reconstructions.zip
DOI: 10.11588/data/lmmxai/ry51po
title: Figure_S5_raw_images.zip
DOI: 10.11588/data/lmmxai/vsbgpi
title: Figure_S6_raw_images.zip
DOI: 10.11588/data/lmmxai/wchrfk
title: Figure_6_data_and_all_diffraction_patterns.zip
DOI: 10.11588/data/lmmxai/wqbyuz
title: Figure_S6_tilt_series_and_reconstructions.zip
DOI: 10.11588/data/lmmxai/xf3glu
title: Figure_5_raw_images.zip
DOI: 10.11588/data/lmmxai/yrlm0t
title: Figure_S3-S4_raw_spectrometer_images.zip
DOI: 10.11588/data/lmmxai/zu8qi0
title: Figure_2-S4_raw_spectrum_images.zip
DOI: 10.11588/data/lmmxai/zwqasb
title: Figure_S7_processed_images.zip
DOI: 10.15468/dl.3rnwq2
title: Occurrence Download

description: A dataset containing 65607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Pseudotsuga Carrière"
 ]
}

 The dataset includes 65607 records from 735 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001913-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7916/yz03-8697
title:  GRID3 TGO - Settlement Extents v3.0
DOI: 10.5281/zenodo.14013400
title: Neutron activation analysis data of pottery and clay from Machu Picchu, Sacsahuaman, Patallaqta, Choquequirao, Espiritu Pampa, Choque Pukio, Racchi, and other sites in the Cusco region, Peru

description: Neutron activation analysis data of pottery and clay from Machu Picchu, Sacsahuaman, Patallaqta, Choquequirao, Espiritu Pampa, Choque Pukio, Racchi, and other sites in the Cusco region, Peru.
DOI: 10.5281/zenodo.14013401
title: Neutron activation analysis data of pottery and clay from Machu Picchu, Sacsahuaman, Patallaqta, Choquequirao, Espiritu Pampa, Choque Pukio, Racchi, and other sites in the Cusco region, Peru

description: Neutron activation analysis data of pottery and clay from Machu Picchu, Sacsahuaman, Patallaqta, Choquequirao, Espiritu Pampa, Choque Pukio, Racchi, and other sites in the Cusco region, Peru.
DOI: 10.5281/zenodo.14013536
title: Neutron activation analysis data of pottery and clay from Machu Picchu, Sacsahuaman, Patallaqta, Choquequirao, Espiritu Pampa, Choque Pukio, Racchi, and other sites in the Cusco region, Peru

description: Neutron activation analysis data of pottery and clay from Machu Picchu, Sacsahuaman, Patallaqta, Choquequirao, Espiritu Pampa, Choque Pukio, Racchi, and other sites in the Cusco region, Peru.
DOI: 10.15468/dl.4pw4ev
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Pantholops hodgsonii (Abel, 1826)"
 ]
}

 The dataset includes 119 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012236-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14013546
title: Neutron activation analysis data of pottery from Pataraya, Pacheco, Huaca del Loro, and Jincamocco, Peru

description: Neutron activation analysis data of pottery from Pataraya, Pacheco, Huaca del Loro, Nasca Region, Ica Department and Jincamocco, Ayacucho Department, Peru