cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/2sodzo
title: MM3141_S135_L001_R2_001.fastq.gz
DOI: 10.57745/ygy53e
title: MM3142_S217_L001_R1_001.fastq.gz
DOI: 10.57745/xfyma9
title: MM3142_S217_L001_R2_001.fastq.gz
DOI: 10.57745/8rwyet
title: MM3143_S39_L001_R2_001.fastq.gz
DOI: 10.57745/totjfm
title: MM3143_S39_L001_R1_001.fastq.gz
DOI: 10.57745/zaxgai
title: MM3151_S136_L001_R1_001.fastq.gz
DOI: 10.57745/endhbs
title: MM3151_S136_L001_R2_001.fastq.gz
DOI: 10.57745/z93gqi
title: MM3152_S218_L001_R1_001.fastq.gz
DOI: 10.57745/spsfhn
title: MM3152_S218_L001_R2_001.fastq.gz
DOI: 10.57745/l5grzu
title: MM3153_S40_L001_R2_001.fastq.gz
DOI: 10.57745/ncph8z
title: MM3153_S40_L001_R1_001.fastq.gz
DOI: 10.57745/vnt52w
title: MM3161_S137_L001_R1_001.fastq.gz
DOI: 10.57745/uwyeqh
title: MM3161_S137_L001_R2_001.fastq.gz
DOI: 10.57745/yitykj
title: MM3162_S219_L001_R1_001.fastq.gz
DOI: 10.57745/6eqtny
title: MM3162_S219_L001_R2_001.fastq.gz
DOI: 10.57745/l6atg0
title: MM3163_S41_L001_R1_001.fastq.gz
DOI: 10.57745/s4hhvy
title: MM3163_S41_L001_R2_001.fastq.gz
DOI: 10.57745/o9tafl
title: MM3171_S138_L001_R1_001.fastq.gz
DOI: 10.57745/n5fgis
title: MM3171_S138_L001_R2_001.fastq.gz
DOI: 10.57745/tkb12w
title: MM3172_S220_L001_R1_001.fastq.gz
DOI: 10.57745/vzionw
title: MM3172_S220_L001_R2_001.fastq.gz
DOI: 10.57745/m4fvcz
title: MM3173_S42_L001_R1_001.fastq.gz
DOI: 10.57745/g5sfgi
title: MM3173_S42_L001_R2_001.fastq.gz
DOI: 10.57745/ot56cs
title: MM3181_S139_L001_R1_001.fastq.gz
DOI: 10.57745/kqbpci
title: MM3181_S139_L001_R2_001.fastq.gz
DOI: 10.57745/jxz0pg
title: MM3182_S221_L001_R1_001.fastq.gz
DOI: 10.57745/knnqp1
title: MM3182_S221_L001_R2_001.fastq.gz
DOI: 10.57745/qpsfyl
title: MM3183_S43_L001_R1_001.fastq.gz
DOI: 10.57745/qauk3k
title: MM3183_S43_L001_R2_001.fastq.gz
DOI: 10.57745/dcukvv
title: MM3191_S140_L001_R2_001.fastq.gz
DOI: 10.57745/pj86p4
title: MM3191_S140_L001_R1_001.fastq.gz
DOI: 10.57745/sbfdge
title: MM3192_S222_L001_R1_001.fastq.gz
DOI: 10.57745/4bwlgj
title: MM3192_S222_L001_R2_001.fastq.gz
DOI: 10.57745/wvou89
title: MM3193_S44_L001_R1_001.fastq.gz
DOI: 10.57745/ugiu4f
title: MM3193_S44_L001_R2_001.fastq.gz
DOI: 10.57745/zg2bsr
title: MM3201_S141_L001_R1_001.fastq.gz
DOI: 10.57745/i2urtz
title: MM3201_S141_L001_R2_001.fastq.gz
DOI: 10.57745/wujbso
title: MM3202_S223_L001_R2_001.fastq.gz
DOI: 10.57745/xlbiff
title: MM3202_S223_L001_R1_001.fastq.gz
DOI: 10.57745/0mh9xt
title: MM3203_S45_L001_R1_001.fastq.gz
DOI: 10.57745/mttenf
title: MM3203_S45_L001_R2_001.fastq.gz
DOI: 10.57745/6n9i2w
title: MM3211_S142_L001_R1_001.fastq.gz
DOI: 10.57745/zj7dlr
title: MM3211_S142_L001_R2_001.fastq.gz
DOI: 10.57745/5lhhem
title: MM3212_S224_L001_R1_001.fastq.gz
DOI: 10.57745/ycerlt
title: MM3212_S224_L001_R2_001.fastq.gz
DOI: 10.57745/rjq6ml
title: MM3213_S46_L001_R1_001.fastq.gz
DOI: 10.57745/ak4azq
title: MM3221_S143_L001_R1_001.fastq.gz
DOI: 10.57745/qgyye1
title: MM3213_S46_L001_R2_001.fastq.gz
DOI: 10.57745/mu4czg
title: MM3221_S143_L001_R2_001.fastq.gz
DOI: 10.57745/h4dtga
title: MM3222_S225_L001_R1_001.fastq.gz
DOI: 10.57745/epbsbx
title: MM3222_S225_L001_R2_001.fastq.gz
DOI: 10.57745/uux1b1
title: MM3223_S47_L001_R1_001.fastq.gz
DOI: 10.57745/pgslc6
title: MM3223_S47_L001_R2_001.fastq.gz
DOI: 10.57745/jqblfy
title: MM3231_S144_L001_R1_001.fastq.gz
DOI: 10.57745/stiusu
title: MM3231_S144_L001_R2_001.fastq.gz
DOI: 10.57745/txzrin
title: MM3232_S226_L001_R1_001.fastq.gz
DOI: 10.57745/rbkswy
title: MM3233_S48_L001_R1_001.fastq.gz
DOI: 10.57745/rw5oih
title: MM3232_S226_L001_R2_001.fastq.gz
DOI: 10.57745/clmjho
title: MM3233_S48_L001_R2_001.fastq.gz
DOI: 10.57745/bnwpoa
title: MM3241_S145_L001_R1_001.fastq.gz
DOI: 10.57745/9vjx70
title: MM3241_S145_L001_R2_001.fastq.gz
DOI: 10.57745/jz70fy
title: MM3242_S227_L001_R1_001.fastq.gz
DOI: 10.57745/yoqwqb
title: MM3242_S227_L001_R2_001.fastq.gz
DOI: 10.57745/vb1s7a
title: MM3243_S49_L001_R1_001.fastq.gz
DOI: 10.57745/g6hone
title: MM3251_S146_L001_R1_001.fastq.gz
DOI: 10.57745/ki7c6m
title: MM3243_S49_L001_R2_001.fastq.gz
DOI: 10.57745/ycmo8m
title: MM3251_S146_L001_R2_001.fastq.gz
DOI: 10.57745/76jngp
title: MM3252_S228_L001_R1_001.fastq.gz
DOI: 10.57745/jrohkb
title: MM3252_S228_L001_R2_001.fastq.gz
DOI: 10.57745/0qmmac
title: MM3253_S50_L001_R1_001.fastq.gz
DOI: 10.57745/5jfo8u
title: MM3253_S50_L001_R2_001.fastq.gz
DOI: 10.57745/kpvbbz
title: MM3261_S147_L001_R1_001.fastq.gz
DOI: 10.57745/6ypjvj
title: MM3261_S147_L001_R2_001.fastq.gz
DOI: 10.57745/ygaylj
title: MM3262_S229_L001_R1_001.fastq.gz
DOI: 10.57745/tntxzn
title: MM3262_S229_L001_R2_001.fastq.gz
DOI: 10.57745/t3dsag
title: MM3263_S51_L001_R2_001.fastq.gz
DOI: 10.57745/u4xvkb
title: MM3263_S51_L001_R1_001.fastq.gz
DOI: 10.57745/oatrjd
title: MM3271_S148_L001_R1_001.fastq.gz
DOI: 10.57745/asrvfe
title: MM3271_S148_L001_R2_001.fastq.gz
DOI: 10.57745/jsf5cs
title: MM3272_S230_L001_R1_001.fastq.gz
DOI: 10.6084/m9.figshare.22241278
title: Supplementary Material for: Oncostatin M and nivolumab affect the cytotoxic T cell proportions and the susceptibility to TRAIL-induced death in non-leukocyte cell subpopulations in soft tissue sarcomas

description: Introduction: Soft tissue sarcomas (STSs) are malignant tumors arising from mesenchymal tissues. Patients with advanced and metastatic STSs have low overall survival rates and relatively limited treatment options. Oncostatin M (OSM) is a pleiotropic cytokine that was shown to carry both pro- and anti-tumorigenic properties in various cancer types. However, the role of OSM in STSs has not yet been elucidated. Moreover, the potential additive effects of combining OSM and anti-PD-1 therapy have not been carried out so far. Methods: The aim of this study was to determine the effects of in vitro OSM administration on liposarcoma, leiomyosarcoma, and myxofibrosarcoma immune cells isolated from peripheral blood and tumor tissues and the potential cooperative nature of OSM and nivolumab in treating these STSs. We designed a cohort study to explore novel histology-driven therapies in our target STSs. The immune cells were isolated from the peripheral blood and tumors of patients with STS and the proportions and phenotypes of immune cells were evaluated with flow cytometry after cultivation with therapeutic monoclonal antibodies. Results: The proportion of peripheral CD45+ cells was not affected by OSM but was significantly increased by nivolumab, whereas both treatments had an effect on CD8+ T cells. In tumor tissues, CD8+ T cell and CD45- TRAIL+ cell cultures were boosted by nivolumab and significantly enriched by OSM. Our data suggest that OSM may play a role in the treatment of leiomyosarcoma, myxofibrosarcoma, and liposarcoma. Conclusion: In conclusion, the biological efficacy of OSM is reflected in the tumor microenvironment rather than in the peripheral blood of the patients in our cohort, and nivolumab could potentiate its mechanism of action in selected cases. Nevertheless, more histotype-tailored studies are needed to fully understand the functions of OSM in STSs.
DOI: 10.57745/brtvhr
title: MM3272_S230_L001_R2_001.fastq.gz
DOI: 10.57745/i4hah4
title: MM3273_S52_L001_R1_001.fastq.gz
DOI: 10.57745/3ukvsr
title: MM3273_S52_L001_R2_001.fastq.gz
DOI: 10.6084/m9.figshare.22362418
title: S1_Data ddCT ACKRs.xlsx

description: ddCT ACKRs GPR182+ GPR182-
DOI: 10.6084/m9.figshare.22362418.v1
title: S1_Data ddCT ACKRs.xlsx

description: ddCT ACKRs GPR182+ GPR182-
DOI: 10.35078/v6ptjc
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha| Município: Dores do Indaiá

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: 10.6084/m9.figshare.22362412
title: S3_Data arterial and venous markers.xlsx

description: arterial and venous markers gpr182+
DOI: 10.6084/m9.figshare.22362415
title: S4_Data CXCL11_20 binding and uptake.xlsx

description: CXCL11_20 binding and uptak
DOI: 10.5281/zenodo.7785872
title: tyrannus_vociferans_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7785871
title: tyrannus_vociferans_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22362403
title: S5_Data chimeric chemokines affinity.xlsx

description: chimeric chemokines affinity
DOI: 10.6084/m9.figshare.22362403.v1
title: S5_Data chimeric chemokines affinity.xlsx

description: chimeric chemokines affinity
DOI: 10.3886/e182681v1
title: Data and Code for: Mobility and congestion in urban India

description: Replicates empirical results from "Mobility and Congestion in Urban India". Article abstract: We develop a methodology to estimate robust city-level vehicular speed indices, exactly decomposable into uncongested speed and congestion. We apply it to 180 Indian cities using 57 million simulated trips measured by a web mapping service. We verify the reliability of our simulated trips using a number of alternative data sources, including data on actual trips. We find wide variation in speed across cities that is driven more by differences in uncongested speed than congestion. Denser and more populated cities are slower, only in part because of congestion. Urban economic development is correlated with faster speed despite worse congestion.<br>
DOI: 10.6084/m9.figshare.22362406
title: S2_Data Result--GFPpos--over--GFPneg_sort log2 fdr 0.05.xlsx

description: ACKR3+ endothelial cell RNA seq
DOI: 10.6084/m9.figshare.22362406.v1
title: S2_Data Result--GFPpos--over--GFPneg_sort log2 fdr 0.05.xlsx

description: ACKR3+ endothelial cell RNA seq
DOI: 10.48579/pro/kwcxoa/a3nixb
title: SI_Seal_whiskers_BDS_data_2019_2022.tab

description: Raw data
DOI: 10.48579/pro/kwcxoa/brsgft
title: SI_Seal_whiskers_BDS_data_2019_2022_metadata-1.csv

description: Metadata
DOI: 10.48579/pro/kwcxoa/43j4io
title: SI_Seal_whiskers_BDS_data_2019_2022-1.tab

description: Raw data (xlsx)
DOI: 10.48579/pro/kwcxoa/rpbuvh
title: readme.txt

description: Readme
DOI: 10.48579/pro/kwcxoa/zo5r0m
title: SI_Seal_whiskers_BDS_data_2019_2022_metadata-1.tab

description: Metadata (xlsx)
DOI: 10.48579/pro/kwcxoa
title: δ13C and δ15N stable isotope compositions of the whisker of 24 harbour seals (Phoca vitulina) and 12 grey seals (Halichoerus grypus) captured in the baie de Somme, France, in 2019 and in 2022, for telemetry tracking

description: δ13C and δ15N stable isotopes values were measured along the whiskers of 24 harbour seals (Phoca vitulina) and 12 grey seals (Halichoerus grypus) captured in the baie de Somme, France, to be fitted with GPS/GSM tags (15 harbour seals and 12 grey seals captured in May and October 2019 ; telemetry tracking data of these individuals are available on https://doi.org/10.17882/89715) and with DTags (9 harbour seals captured in May 2022). The present data are complementary to those obtained previously on 8 harbour seals and 10 grey seals captured in 2008 and in 2012 in the baie de Somme (data available on https://doi.org/10.17882/76528 ; data published as part of Planque et al. (2021), https://doi.org/10.1002/ece3.7739, and Planque (2021), http://dx.doi.org/10.13140/RG.2.2.35986.12480). Seal whiskers provided a temporal integration of isotope compositions during the period of whisker growth, i.e. during months prior to sampling. All whisker segments were analysed with an elemental analyser (Flash 2000, Thermo Scientific, Milan, Italy) coupled to an isotope-ratio mass spectrometer (Delta V Plus with a Conflo IV interface, Thermo Scientific, Bremen, Germany). Isotope compositions are expressed with the usual δ notation in parts per thousands (‰) relative to Vienna PeeDee Belemnite Standard for δ13C and atmospheric N2 for δ15N. Based on replicate measurements of internal laboratory standards, analytical precision is &lt; 0.15 ‰ for both δ13C and δ15N.
DOI: 10.3886/icpsr38610.v1
title: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 2020
title: Version 1

description: The data contain records of criminal appeals cases filed in United States Courts of Appeals during fiscal year 2020. The data were constructed from the Administrative Office of the United States Courts' (AOUSC) Court of Appeals file. These contain variables on the nature of the criminal appeal, the underlying offense, and the disposition of the appeal. An appeal can be filed by the government or the offender, and the appellant can appeal the sentence, the verdict, or both sentence and verdict. The data file contains variables from the original AOUSC files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute through 2012. Data from 2013 on were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 2020
description: Criminal appeals cases filed in United States Courts of Appeals during fiscal year 2020.
DOI: 10.3886/icpsr38610
title: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 2020
title: Archival Version

description: The data contain records of criminal appeals cases filed in United States Courts of Appeals during fiscal year 2020. The data were constructed from the Administrative Office of the United States Courts' (AOUSC) Court of Appeals file. These contain variables on the nature of the criminal appeal, the underlying offense, and the disposition of the appeal. An appeal can be filed by the government or the offender, and the appellant can appeal the sentence, the verdict, or both sentence and verdict. The data file contains variables from the original AOUSC files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute through 2012. Data from 2013 on were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 2020
description: Criminal appeals cases filed in United States Courts of Appeals during fiscal year 2020.
DOI: 10.5281/zenodo.7737868
title: Global canopy top height estimates from GEDI LIDAR waveforms for 2020

description: Canopy top height (RH98) is estimated from GEDI L1B waveforms globally between 51.6° N & S from L1B Version 1 data from April-July 2020. The footprint level RH98 predictions are stored in hdf5 files corresponding to the orbit files of the GEDI L1B Version 1 data. See also the repository for the data from April-July 2019: https://doi.org/10.5281/zenodo.5704852. This repository also contains the file load_pred_RH98_files.py with more information on how to parse and load the prediction orbit files. <strong>GEDI mission website</strong>: https://gedi.umd.edu/. <strong>Citation: </strong> Use of these data require citation of this dataset: Lang, Nico, Kalischek, Nikolai, Armston, John, Schindler, Konrad, Dubayah, Ralph, & Wegner, Jan Dirk. (2021). Global canopy top height estimates from GEDI LIDAR waveforms for 2020 (1.0) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7737869 Original research article: Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, R., & Wegner, J. D. (2022). Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles. <em>Remote Sensing of Environment</em>, <em>268</em>, 112760.
description: The project received funding from Barry Callebaut Sourcing AG, as part of a Research Project Agreement, and funding from NASA contract #NNL 15AA03C to the University of Maryland for the development and execution of the GEDI mission (Dubayah, Principal Investigator).
DOI: 10.5066/p99h412x
title: Chemical and isotopic composition of gas, water, and solids from the 2019-2020 water lake in Halema&amp;amp;rsquo;uma&amp;amp;rsquo;u Crater, K?lauea Volcano, Hawaii

description: Following the 2018 eruption of K?lauea Volcano (Neal et al, 2019) and the subsequent collapse of the Halema?uma?u crater, groundwater gradually seeped into the newly-deepened crater (Nadeau and others, 2020). Water was first observed in the crater on 7/26/2019, and the water level increased over time until 12/20/2020, when the crater again filled with lava, vaporizing the lake. In the intervening time, three sets of water samples were collected by unoccupied aircraft systems (UAS) and analyzed for water chemistry, water isotopes, and sulfur isotopes. The solids filtered from the collected water samples were analyzed by XRD and SEM, as well as digested and analyzed for their chemical composition. Additionally, two flights with a multirotor UAS instrumented with a miniature multi-GAS (multiple Gas Analyzer System) instrument were completed on October 26, 2019. During these flights, gas plume compositions within Halema?uma?u crater were measured. References Nadeau, P., Diefenbach, A.K., Hurwitz, S. and Donald, A., 2020. From lava to water: a new era at K?lauea. Eos, doi:10.1029/2020EO149557. Neal, C.A., Brantley, S.R., Antolik, L., Babb, J.L., Burgess, M., Calles, K., Cappos, M., Chang, J.C., Conway, S., Desmither, L. and Dotray, P., 2019. The 2018 rift eruption and summit collapse of K?lauea Volcano. Science, 363, 367-374.
DOI: 10.5281/zenodo.7550436
title: OSeMOSYS Base SAND Kit: Indonesia

description: Excel Base SAND files in different scenarios for running on OSeMOSYS
DOI: 10.5281/zenodo.7550437
title: OSeMOSYS Base SAND Kit: Indonesia

description: Excel Base SAND files in different scenarios for running on OSeMOSYS
DOI: 10.5281/zenodo.7785862
title: OSeMOSYS Base SAND Kit: Indonesia

description: Excel Base SAND files in different scenarios for running on OSeMOSYS
DOI: 10.6084/m9.figshare.15168473
title: Fall assessment in subacute inpatient stroke rehabilitation using clinical characteristics and the most preferred stroke severity and outcome measures

description: No single tool is able to distinguish fallers from non-fallers. The aim of this study was to detect subacute stroke inpatients at higher risk for falls, predictors for the number of falls and near falls and the impact of these incidents on functional outcome. An observational prospective cohort study comparing clinical differences between non-fallers, onetime and repeat fallers. Bivariate and multivariate Poisson regression analyses with length of stay as an offset variable were conducted. Fallers had mostly intermediate level of impairment and disability (NIHSS, FIM, mRS, the ICF minimal generic data set). The onetime fallers who were oldest, most disabled and most often institutionalised achieved the same functional improvement as the non-fallers, however, after significantly longer inpatient rehabilitation. The repeat fallers who were youngest and had the longest rehabilitation in-stay, achieved equal functioning as the non-fallers having faster motor gain and the greatest overall functional improvement compared to the other two subgroups. Right hemispheric stroke, previous myocardial infarction and shorter time from stroke onset were independent predictors for the number of incidents. In the future, larger studies are recommended to investigate fall rate and different severities of incidents, falls and near falls separately.
DOI: 10.6084/m9.figshare.15168473.v1
title: Fall assessment in subacute inpatient stroke rehabilitation using clinical characteristics and the most preferred stroke severity and outcome measures

description: No single tool is able to distinguish fallers from non-fallers. The aim of this study was to detect subacute stroke inpatients at higher risk for falls, predictors for the number of falls and near falls and the impact of these incidents on functional outcome. An observational prospective cohort study comparing clinical differences between non-fallers, onetime and repeat fallers. Bivariate and multivariate Poisson regression analyses with length of stay as an offset variable were conducted. Fallers had mostly intermediate level of impairment and disability (NIHSS, FIM, mRS, the ICF minimal generic data set). The onetime fallers who were oldest, most disabled and most often institutionalised achieved the same functional improvement as the non-fallers, however, after significantly longer inpatient rehabilitation. The repeat fallers who were youngest and had the longest rehabilitation in-stay, achieved equal functioning as the non-fallers having faster motor gain and the greatest overall functional improvement compared to the other two subgroups. Right hemispheric stroke, previous myocardial infarction and shorter time from stroke onset were independent predictors for the number of incidents. In the future, larger studies are recommended to investigate fall rate and different severities of incidents, falls and near falls separately.
DOI: 10.6084/m9.figshare.17158972
title: An investigation of the measurement properties of the physiotherapy therapeutic relationship measure in patients with musculoskeletal conditions

description: The therapeutic relationship between a patient and physiotherapist has been associated with improved physiotherapy outcomes. However, there is no agreed upon measure of therapeutic relationship in physiotherapy. This paper describes a validation study of a new patient-reported measure, the Physiotherapy Therapeutic Relationship Measure (P-TREM). In this multi-site validation study, participants with musculoskeletal conditions (<i>n</i> = 163) completed a survey containing the P-TREM, demographic questions, a Trust in Healthcare Providers scale, and a therapeutic relationship global rating for construct validation. We investigated item quality, internal structure using exploratory factor analysis (EFA), unidimensionality, internal consistency, and construct validity. We eliminated poor performing items to optimise the length of the P-TREM. The final version of the P-TREM has 30 items. EFA suggests two domains: ‘Physiotherapist role’ and ‘Patient role’, correlation between factors was 0.71. Internal consistency was excellent. We found a low-moderate correlation between P-TREM scores and Trust in Healthcare Providers and a strong correlation between P-TREM scores and the therapeutic relationship global rating, confirming our hypotheses for convergent and concurrent validity. The P-TREM can be considered for use in clinical research to understand therapeutic relationship in the care of people with longstanding musculoskeletal conditions in outpatient, in-person settings.